Journal Cover
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)
Journal Prestige (SJR): 0.265
Citation Impact (citeScore): 1
Number of Followers: 9  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1693-6930 - ISSN (Online) 2302-9293
Published by Universitas Ahmad Dahlan Homepage  [18 journals]
  • A Miniaturized Printed UWB Antenna with Dual Notching for X-Band and ARN

    • Authors: Mohammad Ahmad Salamin; Sudipta Das, Madhav BTP, Soufian Lakrit, Avisankar Roy, Asmaa Zugari
      Abstract: A low cost miniaturized UWB microstrip antenna with dual notched band for X band and aeronautical radio navigation (ARN) is presented in this article. The antenna (19 16×"> 25 mm2) is composed of a half-circular ring as a radiation patch with an incomplete ground plane. The measured results indicate a fractional bandwidth of 112% for 16S11≤-"> 10dB between 3 to 10.6 GHz. The dual notched band has been achieved by incorporating a double microstrip closed ring resonator at the rear surface of the designed antenna structure. The first notch band is centered at 7.5 GHz (7 16-"> 8.1 GHz) to reject interference with X-band downlink (7.25 to 7.74 GHz) and second band centered at 9.1 GHz (8.6 16-"> 9.4 GHz) to reject interference with aeronautical radio navigation (ARN) (8.7 to 9.2 GHz). The simulated and measured return loss, radiation pattern, and gain shows good agreement which confirms the applicability of the designed antenna for the intended UWB applications.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Design and Software Implementation of Radio Frequency Satellite Link Based
           on SDR under Noisy Channels

    • Authors: ahmed A. thabit
      Abstract: The Satellite communication provide a utilization of radio frequency links. Specific frequencies are dedicated for satellite correspondences through global administrative and coordination procedures which keeps impedance among frameworks. Over typical work, the satellite receives uplinked indicator from Earth. Progressions its frequency marginally will keep away from self-intervention then re-transmits signal ahead the downlink on the land. Pathloss depicts characteristic Propagate outside the sending signal front as it goes by the space. A Software Defined Radio (SDR) is a flexible technology that aims to replace all hardware by software to enables the design of adaptive communications systems such as changing frequencies, modulation schemes and data rates. Applied to small satellites, some of the implications are increased data throughput when down-linking or up-linking by varying communications parameters and making use of one hardware design and implementation for communicating for many missions, just by updating the software. Therefore, development time for small satellite communication systems can be reduced in the future. This paper analyze, design and software implementation of radio frequency satellite communications links under noisy channels such as phase/ frequency offsets and noise temperature. Modulation schemes such as 64QAM system is used based on Matlab tools to implement the results. Obtained results shows a good response that get the goal from the paper.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Broadband Planar 90° Loaded-Stub Phase Shifter

      Abstract: The differential phase shifter is an interesting four-port passive microwave network, consisting of two different circuits, the main line and the reference line, and providing stable phase difference between the signals at their output ports over the specified bandwidth of interest. The most famous differential phase shifter is the coupled-line Schiffman phase shifter. In this paper, a novel 90° differential microstrip phase shifter configuration is presented. By loading the main transmission line with three open stubs, the proposed design could achieve excellent performance with small phase deviation over a wide bandwidth compared to the conventional Schiffman phase shifter. The simulated results accomplished with the use of CST Microwave Studio and Advanced Design System (ADS), were found to be in good agreement and have shown that the proposed loaded-stub phase shifter achieved less than 1 dB insertion loss, better than 13 dB return loss and constant 90°±6° phase shift over a 90% bandwidth. 
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Raised Cosine/NRZ Line Coding Techniques for Upgrading FSO Communication
           Systems through Various Levels of Fog

    • Authors: Aadel M. Alatwi; Ahmed Nabih Zaki Rashed
      Abstract: This study examines raised cosine/NRZ line coding techniques for upgrading FSO communication systems through various levels of fog. The max. Q factors are simulated and estimated for clear air, light fog, and moderate fog weather conditions at a data rate of 20 Gb/s. The optical signal to noise ratio is also measured for different weather conditions. The total power after both FSO channel and APD photodetector receiver is estimated by an optical power meter for max. distances. The study shows that the max. propagation distance is extended to 50 km through clear air, 2.25 km through light fog, and 1.6 km through moderate fog with acceptable max. Q factor.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Factors influencing the Success of Information Systems in Flood Early
           Warning and Response Systems Context

    • Authors: Waleed A. Hammood; Salwana Mohamad@ Asmara, Ruzaini Abdullah Arshah, Omar A Hammood, Hussam Al Halbusi
      Abstract:  Flash flood is a natural disaster that often occurs after heavy rain, and it is getting more common nowadays. The Flood Early Warning and Response System (FEWRS) can be installed to minimize the level of damage and the number of casualties due to flood by providing accurate and reliable flood data. Unfortunately, the existing number of studies detailing on the factors affecting the efficiency of FEWRS in flood disaster is quite limited. The above issue is addressed in the current work, which involves conducting a comprehensive literature review on the factors that drive the effectiveness of Information Systems (IS) in FEWRS. The current analysis was based on the Wymer and Regan's standards. From the 66 factors identified from the previous studies on IS adoption, the most significant factors affecting the effectiveness of FEWRS are: System Quality, Information Quality, User Satisfaction, Service Quality, Use, Perceived Usefulness, Intention to Use, Net Benefits, Perceived Ease of Use, Compatibility, User Experience, Relative Advantage, Complexity, Perceived Risks, Educational Quality, and Confirmation.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Offline Signatures Matching using Haar Wavelet Subbands

    • Authors: Zinah S.Abduljabbar; Zainab J. Ahmed, Noor Khalid Ibrahim
      Abstract: The complexity of multimedia contents is significantly increasing in the current world. This leads to an exigent demand for developing highly effective systems to satisfy human needs. Until today, handwritten signature considered an important means that is used in banks and businesses to evidence identity, so there are many works tried to develop a method for recognition purpose. This paper introduced an efficient technique for offline signature recognition depending on extracting the local feature by utilizing the haar wavelet subbands and energy. Three different sets of features are utilized by partitioning the signature image into non overlapping blocks where different block sizes are used. CEDAR signature database is used as a dataset for testing purpose. The results achieved by this technique indicate a high performance in signature recognition
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Evaluation of leachate turbidity reduction in sanitary landfills following
           a coagulation/flocculation process enhanced by vegetable starch and
           thermal water

    • Authors: Sebastian Pacheco; César Benavides, Yeison Alberto Garcés Gómez, Fredy Edimer Hoyos Velasco
      Abstract: This study evaluates the reduction of leachate turbidity in landfills after applying a mixture of banana starch and thermal water. Principal component analysis was applied to study the combined effect with four variables: pH, concentration of starch and thermal water mixture, rapid mixing speed and slow mixing speed. The experimental design involved 16 experiments with repetition in the jar test to obtain the optimum dose while measuring turbidity as a response variable. The results showed that after the oxidation process of organic matter, under optimal conditions determined in the experiment, the mixture of starch and thermal water contributed to the reduction of leachate turbidity by 29.1%.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Harnessing Deep Learning Algorithms to Predict Software Refactoring

    • Authors: Mamdouh Alenezi; Mohammed Akour, Osamah Alqasem
      Abstract: During software maintenance, software systems need to be modified by adding or modifying source code. These changes are required to fix errors or adopt new requirements raised by stakeholders or market place. Identifying the targeted piece of code for refactoring purposes is considered a real challenge for software developers. The whole process of refactoring is mainly relying on software developers’ skills and intuition. In this paper, a deep learning algorithm is used to develop a refactoring prediction model for telling the classes that require refactoring. More specifically, the Gated Recurrent Unit algorithm is used with proposed pre-processing steps for refactoring prediction at the class level. The effectiveness of the proposed model is evaluated using a very common data set for 7 open source java projects. The experiments are conducted before and after balancing the dataset to investigate the influence of data sampling on the performance of the prediction model. Result analysis reveals how deep learning algorithm on the balanced data produces a promising result in the field of code refactoring prediction.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Authentication System for E-Certificate by Using RSA’s Digital

    • Authors: Kritsanapong Somsuk; Mongkhon Thakong
      Abstract: Online learning and teaching become the popular channel for all participants, because they can access the courses everywhere with the high-speed internet. E-Certificate is being prepared for everyone who has participated or passed the requirements of the courses. Because of many benefits from E-Certificate, it may become the demand for intruders to counterfeit the certificate. In this paper, RSA’s digital signature is chosen to sign E-Certificate in order to avoid being counterfeited by intruders. There are two applications to manage E-Certificate. The first application is the signing application to sign the sub image including only participant’s name in E-Certificate. In general, the file of digital signature is divided from E-Certificate. That means, both of them must be selected to compare each other in checking application. In fact, the solution will be approved when each pixel of participant’s name is equal to each part from the decrypted message at the same position. In experimental session, 40 E-Certificates are chosen for the implementation. The results reveal that the accuracy is 100% and both of signing and checking processes are completed rapidly fast, especially when signing application is applied with Chinese Remiander Theorem (CRT) or the special technique of CRT. Therefore, the proposed method is one of the best solutions to protect E-Certificate from the forgery by intruders.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Quantitative Analysis of Mouza Map to Estimate Land Area using Zooming and
           Canny Edge Detection

    • Authors: Yeasmin Ara Akter
      Abstract: In Bangladesh, mouza map is used to maintain the record of land measurement, which is a form of interpreting land ownership as well as estimation. Unfortunately, the automatic determination of land is still under development. As a result, land administrators have to encounter multiple hurdles while evaluating any area by employing local civil engineers. Thus, our country needs an automated land estimation system so that it can reduce time, cost and other difficulties which inspired us to develop a system that requires only mouza map image. Once image acquisition is done, we applied the Curvature Interpolation Technique to zoom the map that helps to select any area by the Area Selection Method. The selected area is then segmented by employing the Canny Edge Detection method. Finally, the area is calculated from the segmented image and extracted features of the selected location. Compared to the field measurement, the system gave the accuracy of 89.8%. Hence, the land administrators will be able to provide the land information to the landowners promptly.In Bangladesh, mouza map is used to maintain the record of land measurement, which is a form of interpreting land ownership as well as estimation. Unfortunately, the automatic determination of land is still under development. As a result, land administrators have to encounter multiple hurdles while evaluating any area by employing local civil engineers. Thus, our country needs an automated land estimation system so that it can reduce time, cost and other difficulties which inspired us to develop a system that requires only mouza map image. Once image acquisition is done, we applied the Curvature Interpolation Technique to zoom the map that helps to select any area by the Area Selection Method. The selected area is then segmented by employing the Canny Edge Detection method. Finally, the area is calculated from the segmented image and extracted features of the selected location. Compared to the field measurement, the system gave the accuracy of 89.8%. Hence, the land administrators will be able to provide the land information to the landowners promptly.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Co-Simulation of Self-Adjusting Fuzzy PI Controller for the Robot with
           Two-Axes System

    • Authors: Nguyen Vu Quynh; Pham Van Toan
      Abstract: This paper presents the co-simulation of the self-adjusting Fuzzy PI controller to control a two-axes system. Each axis was driven by a Permanent Magnet Linear Synchronous Motor (PMLSM). The position and speed controller used the Fuzzy PI algorithm with parameters adjusted by a Radial Basis Function Neural Network (RBFNN). The vector control was applied to the decoupled effect of the PMLSM. The Field Programmable Gate Array (FPGA) was used to control both axes of the system. The very high-speed integrated circuit-hardware description language (VHDL) was developed in the Quartus II software environment, provided by Altera, to analyze and synthesize designs. Firstly, the mathematical model of PMLSM and Fuzzy PI was introduced. Secondly, the RBFNN adjusted the knowledge base of the Fuzzy PI. Thirdly, the motion trajectory was introduced for testing the control algorithm. Fourthly, the implementation of the controller based on FPGA with the FSM method and the structure of co-simulation between Matlab/Simulink and ModelSim were set up. Finally, discussion about the results proved the effectiveness of the control system, determining the exact position and trajectory of the XY axis system. This research was successful in implementing a two-motor controller within one chip.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Design of a controller for wheeled mobile robots based on automatic
           movement sequencing

    • Authors: Holman Montiel Ariza, Fredy H. Martínez S; Fernando Martínez S.
      Abstract: There are many kinds of robots and among them the Wheeled Mobile Robots (WMR) stand out, because they are relatively cheap and easy to build. These features make WMRs the test prototypes for control strategies or motion generation. In general, the controllers developed are based on sensory schemes that give an WMR the ability to travel through flat or obstructed environments. However, these strategies are highly reactive, i.e. they are based on the control-action scheme and are not adaptive; or, they are motion schemes built from simulations that assume the environmental conditions to determine the robot's path. In both cases, WMRs do not adapt perfectly to the change of environment, since the controller does not find appropriate movements for the robot to move from one point to another. Therefore, this article proposes a partial solution to this problem, with a controller that generates sets of adaptive movements for an WMR to travel around its environment from the sensory perception information.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • A transform domain second-order recursive inverse adaptive algorithm

    • Authors: Mohammad SALMAN; Alaa Eleyan, Bahaa Al-Sheikh
      Abstract: The second-order recursive inverse (RI) adaptive algorithm has been showing a better performance than that of the well-known recursive-least-squares (RLS) algorithm with reduced comparable computational complexity. Although the second-order RI algorithm provides significant performance, it suffers from low convergence rate in some situations where a relatively low initial step-size is required. In this paper, we propose a new second-order RI algorithm that applies a discrete wavelet transform (DWT) to the input signal. This transformation reduces the self-correlation of the input signal which, in turn, overcomes the low convergence rate of the second-order RI algorithm when a relatively small initial step-size is used. The performance of the proposed algorithm is compared to those of the RI, second-order RI and RLS algorithms in different Gaussian and impulsive noise environments in a noise cancellation setting. The simulations show that the proposed algorithm has superior convergence rate compared to those algorithms.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Wireless Direction Control System for Spy Devices Based DTMF Technology

    • Authors: Jabbar shatti jahlool; Mohammed Abdulla Abdulsada
      Abstract:            Providing surveillance or spying system in an area represents one of the most important effective of intelligence activities over time. Another features that makes these systems more actions, if its hidden, reduce human interference and control them remotely and wirelessly. This paper describes a wireless remote angular directional control for up, down, left and right of spy camera, also to control the working state of listening device to turn it ON or OFF. These design based on DTMF (dual tone multi frequency) technology and GSM (global system for mobile) network. The mechanism of operating of the proposed design is carried out through a division it into several modes or cases.  
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Modelling of Solar Micro Gas Turbine for Parabolic Dish Based Controller

    • Authors: Syariffah Othman; Mohd Ruddin Ab. Ghani, Zanariah Jano, Tole Sutikno
      Abstract: Dish-Stirling unit and photovoltaic panels are the premier technologies available to generate off-grid solar energy. The major issue for both systems is in terms of producing output power. Air-Brayton cycle was utilized as an engine by converting the thermal energy to electricity. Micro gas turbine (MGT) has been recognized as one of the viable alternatives compared to Stirling engines, where it represents a state-of-art parabolic dish engine specifically in turbine gas technology.  Hence, the micro gas turbine is a technology that is capable of controlling low carbon while providing electricity in off-grid regions. MGT uses any gas as its input like natural gas, biogas and others. Micro gas turbine has advantages for its high expansion ratio and less moving components. Compared to competing for diesel generators, the electricity costs from hybrid solar units were reduced between 10% and 43%, whereas specific CO2 emissions reduced by 20% – 35%. MGT provides advantages over photovoltaic systems such as the inherent ability to hybridize the systems with hydrocarbon fuels to produce electricity around the clock, and the ability to operate more effectively in very hot climates with photovoltaic performance degradation over the lifetime of the system. Hybrid solar micro gas-turbines are cost-effective, eco-friendly and pollution free as they can work by burning any gas like natural gas, landfill gas and others. This paper presented the controls contained in the MGT-dish system consisted of temperature control, fuel flow control, speed and acceleration control. A conceptual design of the 25kW MGT-dish system was   also covered.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • An Improved Swarm Intelligence Algorithms-based NL-FOPID Controller Design
           for a Trajectory Tracking of Underwater Vehicles

      Abstract: This paper presents a nonlinear fractional order-PID (NL-FOPID) for Autonomous Underwater Vehicle (AUV) to solve the path tracking problem under the unknown disturbances (model uncertainty or external disturbances). The considered controller schemes are tuned by two improved swarm intelligence optimization algorithm, the first on is the Hybrid Grey Wolf Optimization with Simulated Annealing (HGWO-SA) algorithm and an Improved Whale Optimization Algorithm (IWOA). The developed algorithms are assessed using a set of benchmark function (unimodal, multimodal, and fixed dimension multimodal functions) to guarantee the effectiveness of both proposed swarm algorithms. The HGWO-SA algorithm is used as a tuning method for the AUV system controlled by NL-FOPID scheme, and the IWOA is used as a tuning algorithm to obtain the PID controller's parameters. The evaluation results show that the HGWO-SA algorithm improved the minimal point of the tested benchmark functions by (1-200) order, while the IWOA improved the minimum point by (1-50) order. Finally, the obtained simulation results from the system operated with NL-FOPID shows the competence in terms of the path tracking by (1-15)% as compared to the PID method.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • A Robust MPPT Control for PV Panel Using Adaptive PI Controller Based on
           Fuzzy Logic

    • Authors: Slamet Slamet; Estiko Rijanto, Asep Nugroho, R.A. Ghani
      Abstract: Most methods of maximum power point tracking (MPPT) for photovoltaic (PV) focus only on tracking performance while robustness against disturbances has rarely been addressed. This paper proposes a new MPPT control method that provides robustness against DC link voltage disturbance as well as good tracking performance. The method uses indirect MPPT control topology which incorporates two controllers. For the external controller, we use an adaptive proportional-integral (PI) control which is real-time tuned by fuzzy logic (FL). New membership functions and rule base are proposed using only one fuzzy input variable and 10 fuzzy rules. The internal controller is a PI controller. The PV panel is connected to a boost DC-DC converter. The proposed MPPT control is compared with the Fuzzy Logic Controller (FLC). Performance is evaluated under DC link voltage disturbance, steady-state condition, and rapid solar radiation changes. Simulation results indicate that the proposed method provides 41.2 % better robustness against DC link voltage disturbance as compared to the direct FLC. Experimental results under natural climate conditions with real solar radiation validate that the proposed method works well in regulating the MPP at steady-state solar irradiance as well as in tracking the MPP towards rapid solar irradiance changes. It yields the PV power tracking speed of 95.75 W/s.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Experimental Results of Vector Control For An Asynchronous Machine

    • Authors: Zineb Mekrini; Seddik Bri, Badre Bossoufi, Jamal Bouchnaif
      Abstract: The aim of this article is contribute to the advanced vector control strategy of asynchronous machines. Analyzes of experimental of indirect field oriented control are presented. In this context, we propose vector control algorithms to provide solutions to the disadvantages of Field oriented control FOC. The results obtained from various methods of determining the parameters for asynchronous machine are compared. We calculate the various parameters and then we present the technical characteristics of each element of the asynchronous machine; finally we implement the vector control used as basis of comparison between the simulation under Matlab/Simulink software and experiments. The simulation and experimental tests show that the proposed controller is suitable for medium and high performance applications.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Acquiring higher lumen efficacy and CRI with green NaYF4:Er3+,Yb3+ and red
           α-SrO•3B2O3:Sm2+ layers for designing remote phosphor LED

    • Authors: Nguyễn Đoàn Quốc Anh
      Abstract: White light-emitting diodes (WLEDs) can achieve superior color rendering index with the application of quantum dots (QDs) and phosphor. In structuring the best package, the separation between the QDs layer and phosphor silicone layer is vital to decrease the ratio of the reabsorption losses and keep the QDs surface ligands constant. The aim of this research is to focus on the procedure of constructing the remote phosphor configuration with QDs and phosphor, based on the performances of WLEDs in optical and thermal aspects. The application of infrared thermography helps to measure and analyze the output optical energy and PL spectra. This device is also used in temperature simulation and experimental verification. At the given mA of 60, the WLEDs structure with green QDs layer above the phosphor layer results in 996 lm luminous flux (LF), and the color rendering index (CRI) of 57. Meanwhile, the LF of WLEDs with red QDs-on-phosphor structure is 632, and Ra = 70. Furthermore, comparing with the green QDs-on-phosphor type, the red QDs-on-phosphor type emitted less LF. However, the red QDs-on-phosphor type can be the most effective package design to achieve color rendering ability.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Study of red-emitting LaAsO4:Eu3+ phosphor for color rendering index
           improvement of WLEDs with dual-layer remote phosphor geometry

    • Authors: Nguyễn Đoàn Quốc Anh
      Abstract: The remote phosphor structure is often disadvantageous in color quality but in terms of optics it is more convenient when compared to conformal phosphor or in-cup phosphor structures. From this disadvantage, there are many studies to improve the color quality of the remote phosphor structure. In this study, we propose a dual-layer remote phosphor structure that improves color rendering index (CRI) and color quality scale (CQS) for WLEDs. The 7700 K WLEDs are used in this study. The idea of the study is to place a red phosphor layer LaAsO4:Eu3+ on the yellow phosphor YAG:Ce3+. Then, find the concentration of LaAsO4:Eu3+ in an appropriate way to achieve the highest color quality. The results showed that LaAsO4:Eu3+ bring great benefits for increasing CRI and CQS. In particular, the greater the concentration of LaAsO4:Eu3+, the greater the CRI and CQS because the red light component in WLEDs increases. However, the decrease in luminous flux occurs when the concentration of LaAsO4:Eu3+ increases excessively. This is proved based on Mie scattering theory and Lambert-Beer's law. The results of important articles in WLEDs fabrication have higher white light quality.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • The application of green YPO4:Ce3+,Tb3+ and red LiLaO2:Eu3+ layers to
           remote phosphor LED

    • Authors: Nguyễn Đoàn Quốc Anh
      Abstract: Remote phosphor structure commonly has drawbacks in color quality, but has greater advantages when comparing luminous flux to conformal phosphor or in-cup phosphor structures. From this dilemma, various researches have been proposed in order to improve color quality of this figuration. In this research, we would like to propose dual-layer remote phosphor structure to enhance color rendering index (CRI) and color quality scale for WLEDs. This study uses WLEDs structure having color temperature of 7000 K. The idea is to put a green phosphor layer YPO4:Ce3+,Tb3+ or a red phosphor layer LiLaO2:Eu3+ on a yellow phosphor layer YAG:Ce3+. After that, we search for suitable concentration of LiLaO2:Eu3+ for addition in order to acquire the finest color quality. The result shows that LiLaO2:Eu3+ gives a great benefit in the increasing of CRI and CQS. In a more specific perspective, the higher the concentration of LiLaO2:Eu3+, the larger CRI and CQS due to the increasing of light in WLEDs. Meanwhile, the green phosphor layer YPO4:Ce3+,Tb3+ give advantages to luminous flux. However, the reduction in luminous flux and color quality occurs when the concentration of LiLaO2:Eu3+ and YPO4:Ce3+,Tb3+ over increase. This was proved based on Mie theory and the Lambert-Beer Law. The result of the research has a crucial contribution in manufacturing WLEDs which has a higher color quality of white light.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • The application of green YF3:Er3+,Yb3+ and red MgSr3Si2O8:Eu2+,Mn2+ layers
           to remote phosphor LED

    • Authors: Nguyễn Đoàn Quốc Anh
      Abstract: White light-emitting diodes (WLEDs) with quantum dots (QDs) and phosphor have pulled in huge consideration because of their incredible shading rendering capacity. In the bundling procedure, QDs layer and phosphor silicone layer will in general be isolated to lessen the reabsorption misfortunes, and to keep up the soundness of QDs surface ligands. This examination explored the bundling succession among QDs and phosphor on the optical and warm exhibitions of WLEDs. The yield optical power and PL spectra were estimated and dissected, and the temperature fields were reenacted and approved tentatively by infrared warm imager. It was discovered that when driven by 60 mA, the green QDs-on-phosphor type WLEDs accomplished lumen output (LO) of 1578 lm, with shading rendering record (CRI) of Ra = 60, while the red QDs-on-phosphor type WLEDs exhibited lower LO of 1000 lm, with Ra = 82. In addition, the QDs-on-phosphor type WLEDs produced less warmth than that of another, consequently, the most noteworthy temperature in the QDs-on-phosphor type was lower than another, and the temperature contrast can arrive at 12.3°C. Along these lines, regarding bundling arrangement, the QDs-on-phosphor type is an ideal bundling design for higher optical productivity, better shading rendering capacity, and lower gadget temperature.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Improving optical properties of remote phosphor LED using green Y2O3:Ho3+
           and red Mg4(F)(Ge,Sn)O6:Mn2+ layers

    • Authors: Nguyễn Đoàn Quốc Anh
      Abstract: With excellent color rendering index (CRI), the white light-emitting diodes (WLEDs) with quantum dots (QDs) and phosphor layers is a promising lighting method that is increasingly used in many fields. The QDs film is usually placed apart from the phosphor layer according to the packaging configuration to prevent light loss due to backscattering as well as preserve the consistency of the ligands on the QDs surface. The article also conducted experiments to compare the lighting properties and thermal output of the two packaging orders of QDs and phosphor. The temperature fields were simulated using the infrared thermal imager, moreover, other parameters such as light energy emission and PL spectra are acquired to evaluate the efficiency of the packaging order. The results from the practical experiment show that while under 10 % wt., the luminous output (LO) of green QDs-on-phosphor structure reaches 1130 lm, higher than the red QDs-on-phosphor structure with 878 lm, and the color rendering index (CRI) of red QDs-on-phosphor structure which is Ra = 74 are also higher than Ra = 68 index of the green QDs-on-phosphor structure. As a result, the QDs-on-phosphor is determined as the better packaging configuration to choose to achieve an overall improvement in lighting efficiency, color rendering index. 
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Medical Remotely Caring with Covid-19 Virus infected people using
           Optimized wireless arm tracing system

    • Authors: Mohammed Azher Therib; Heyam Marzog, Ahmed Fahem Al-Baghdadi
      Abstract: A robotic arm is a robot that usually programmable with similar functions to a human arm. Sensors are used to capture the motion of human limbs. It will always copy hand movement. The rapid spread of the Coronavirus (COVID-19) virus and contacting the infections make the number of patients doubled in short time. The system proposed in this research can protect clinicians against infection with virus by reducing the contact with the infected and treat them remotely. This type of system is useful in different other fields of defense and industrial works where delicate and dangerous task can be done from a distance without actually touching. Xbee shield is used to allow a hand glove flex sensors to communicate with the robotic arm wirelessly using Zigbee. It is based on the Xbee module from Max Stream which can communicate up to 100 feet indoors or 300 feet outdoors (with line-of-sight). PID controller used in the proposed system to achieve smooth movement of limbs. The desired signal comes from flex sensor that connected to each limb. Kalman estimator proposed to find current state of each limb. In order to get better performance, particle swarm optimization (PSO) is used.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Time Series Analysis of Electrical Energy Consumption Using Auto
           Regressive Integrated Moving Average Model and Holt Winters Model

    • Authors: SM Salim Reza
      Abstract: With the increasing demand for energy, the energy production is not that much sufficient and that’s why it has become an important issue to make an accurate prediction of energy consumption for efficient management of energy. Hence appropriate demand side forecasting has a great economical worth. The objective of our paper is to render representations of a suitable time series forecasting model applying ARIMA and Holt Winters model for the energy consumption of Ohio/Kentucky and also predict the accuracy considering different periods (daily, weekly, monthly). We apply these two models and observe that Holt Winters model gives better accuracy in daily, weekly and monthly data than the ARIMA model.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Reconfigurable Ultra Wideband to Narrowband Antenna for Cognitive Radio
           Applications Using PIN Diode

    • Authors: Aziz El fatimi
      Abstract: Frequency reconfigurable antennas are very attractive for many wireless applications. They offer many advantages such as simplicity and compactness. In this electronic paper, we propose a reconfigurable antenna operating in the S and C bands. The proposed antenna uses a BAP65-02 RF diode to switch between the ultra wideband from 2.92 GHz to 6.19 GHz to the narrowband from 2.92 GHz to 3.93 GHz. The ultra wideband is obtained by a partial rectangular ground plane with a symmetrical rectangular slot and the narrowband is obtained by adding a parasitic element electrically connected to the ground plane by the PIN diode when it is positively biased. The numerical simulation results based on the finite element method and the finite integral method show a very good agreement between them.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Vehicle Logo Recognition using HOG descriptor and sparsity score

    • Authors: Vinh Truong Hoang; Kittikhun Meethongjan, Thongchai Surinwarangkoon
      Abstract: Most of vehicle have the similar structures and designs. It is extremely complicated and difficult to identify and classify vehicle brands based on their structure and shape.  As we require a quick and reliable response, so vehicle logos are an alternative method of determining the type of a vehicle.  In this paper, we propose a method for vehicle logo recognition based on feature selection method in a hybrid way. Vehicle logo images are first characterized by Histograms of Oriented Gradient descriptors and the final features vector are then applied feature selection method to reduce the irrelevant information. Moreover,  we release a new benchmark dataset for vehicle logo recognition and retrieval task namely, VLR-40. The experimental results are evaluated on this database  which show the efficiency of the proposed approach.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Mitigation of non-linear FWM phenomenon in a fully optical communication

    • Authors: Petr Ivaniga; Tomáš Ivaniga
      Abstract: This paper aims to point out the nonlinear phenomenon occurring in
      C / D-WDM (Coarse / Dense Wavelength Division Multiplex) systems. This phenomenon has to be taken into account during the design of the optical network itself, as wavelengths in the optical fiber are constantly densified. The paper points out the emergence of the non-linear FWM (Four-Wave Mixing) phenomenon and how it relates to the dispersion in the optical fiber together with the transmit power. The output of the paper is a proposed design of the system that points to the improvement of the BER (Bit Error Rate) with a suitable choice of dispersion and suitable transmission power.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • A new Clustering Technique Based on Replication for MANET Routing

    • Authors: Salma Sobh Mohammed; A. I. Abd-Elfattah, M. A. Mohamed
      Abstract:  In most MANET clustering protocols, the cluster head nodes take an exceptional role in managing routing information. Eventually, the clustering stability, availability and scalability in MANET would be significantly affected.  In this work we introduce a new approach, called the Square Cluster Based Routing Protocol (SCBRP) to form the clusters in MANET. This protocol is based on the replication principle. The protocol aims to realize stability, availability and scalability in the MANET. The proposed protocol is evaluated by caring the performance analysis using the NS-3 simulator. The performance shows 50% improvement in data delivering ratio in large network size, also shows an improvement in network stability and availability which is reflected in energy consumption measurements and increase in the system lifetime to 20%.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • An Energy-Efficient Cluster Head Selection in Wireless Sensor Network
           using Grey Wolf Optimization algorithm

    • Authors: Seifedine Kadry
      Abstract: Clustering is considered as one of the most prominent solutions to preserve the energy in the wireless sensor networks. However, for optimal clustering, an energy efficient cluster head selection is quite important. Improper selection of Cluster Heads (CHs) consumes high energy compared to other sensor nodes due to the transmission of data packets between the cluster members and the sink node. Thereby, it reduces the network lifetime and performance of the network. In order to overcome the issues, we propose a novel Cluster Head selection approach using Grey Wolf Optimization algorithm (GWO) namely GWO-CH which considers the residual energy, intra-cluster and sink distance. In addition to that, we formulated an objective function and weight parameters for an efficient cluster head selection and cluster formation. The proposed algorithm is tested in different wireless sensor network scenarios by varying the number of sensor nodes and cluster heads. The observed results convey that the proposed algorithm outperforms in terms of achieving better network performance compare to other algorithms.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • A beamforming comparative study of LMS, GA and GWO algorithms for
           multipath smart antenna system

    • Authors: Asma Issa Mohsin; Asaad S. Daghal, Adheed Hasan Sallomi
      Abstract: Multipath environment is a limitation fact in optimized usage of wireless networks. Using smart antenna and beamforming algorithms contributed to that subscribers get a higher-gain signal and better directivity as well as reduce the consumed power for users and the mobile base stations by adjusting the appropriate weights for each element in the antenna array that leads to reducing interference and directing the main beam to wanted user.In this paper, the performance of three of beamforming algorithms in multipath environment in terms of Directivity and side lobe level reduction has been studied and compared, which are Least Mean Square (LMS), Genetic algorithm (GA)  and Grey Wolf Optimization (GWO) technique. The simulation result appears that LMS algorithm aids us to get the best directivity followed by the GWO, and we may get most sidelobe level reduction by using the GA algorithm, followed by LMS algorithm in second rank.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Vein palm recognition based on fusion features of Gabor filter and 2D-DWT

    • Authors: Qassim Abd-Alhussain Alzubaidy
      Abstract: The technology of palm vein is one of the most important techniques used in the field of information security, as it is widely used to determine the identity of the user and prevent unauthorized access to it, the palm vein technology is used because of its specificity, because the vein is inside the skin and it is difficult to manipulate, and the palm vein technology is one of the most promising technologies in The field of security is in a state of continuous development. In this work, we can divide the work into four phases: in the first pre-processing stage where a histogram equation is used to improve the image and enhance it before the extraction of features from it, in the second stage, Gabor and 2-discret wavelet filters are used as filters to extract the features from the image, in the third stage a technique is used " PCA" to analyze the features and reduce the spacing between them in order to be ready for the matching process. In the last stage, the similarity is measured using Euclidean distance to find the match between the entered image and the image in the database in this work. Similarity ratio appeared 96.2% where the results were good and acceptable. 
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Dual Method Cryptography Image by 2FS and Steganography Secret Message in
           Internet of Things (IoT)

    • Authors: Ashwaq Mahmood Alabaich
      Abstract: With the go on evolution of both computer and Internet technology, videos, sounds, and scripts) is uses more and more greatly.  It can be used in sundry techniques in cipher and data concealing. The outcome of the wide dispersal in the Internet networks at present time sundry of safety problems, include the breakthrough of attackers during the channeled and the knowing of the transmitted data. This leading to the suggestion of a new method of combine encryption and concealment of this information so as make it difficult to identify the transmitted data. In this paper would be used three stages: the first stage, is used two force secure (2FS) in encryption image, the second stage, the conceal secret message inside cryptography image using secret key, the third stage, transform this image for Internet of things storage in the database in IoT (data flow), when the user need any information can be access in via of Internet of things (IoTs). The outcome of this system to obtain from evaluation system. It is good, efficiency, fast, high security, robustness, and Transparency.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • The quality of images encryption techniques by reasoned logic

    • Authors: Marwah Kamil Hussein; Kareem Radhi Hassan, Haider M. Al-Mashhadi
      Abstract: One form of data is digital images, because of their widespread of frequent exchange over the Internet it is necessary to preserve the security and privacy of the images transmitted. There are many image encryption techniques that have different security levels and there are many standards and protocols for testing the quality of encryption security. The cipher images can be evaluated using various quality measuring criteria, these measures quantify certain features of the image. If there are many methods that can be applied to secure images; the question is what is the most powerful scheme that can be used among these methods' This research try to answer this question by taking three different encryption methods (RC5, Chaotic and Permutation) and measure their quality using the (PSNR, Correlation, Entropy, NPCR and UACI), the results of these criteria were input to a fuzzy logic system that was used to find the best one among them.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Adopted topic modeling for business process and software component
           conformity checking

    • Authors: Adhatus Solichah Ahmadiyah; Riyanarto Sarno, Fony Revindasari
      Abstract: There is a close relation between both business process and software components, specifically class diagrams. Since software components support business process in providing a good product and service. In addition, business process changes affect on software component design. One of them usually appears on the label or name of the software component or business process. Sometimes, a related business process and software component appear in different label but the same meaning rather than using the same label. This is problematic when there are many changes to be made, in which the modifying process of the software component becomes quite a long time. Therefore, the software maintainers should obtain an efficient procedure to shorten modifying process. One solution is by using conformity checking which helps the software maintainers know which software component that is related to a certain business process. In this paper, two leading topic modeling techniques, i.e., Probabilistic Latent Semantic Analysis and Latent Dirichlet Allocation are compared to find out which one has a better performance for process traceability.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Predictions on wheat crop yielding through fuzzy set theory and
           optimization techniques

    • Authors: Brayan Leonardo Sierra; Julio Barón, Norbey Danilo Muñoz
      Abstract: Agricultural field’s production is commonly measured through the performance of the crops in terms of sow amount, climatology, and the type of crop, among other. Therefore, prediction on the performance of the crops can aid cultivators to make better informed decisions and help the agricultural field. This research work presents a prediction on wheat crop using the Fuzzy set theory and the use of optimization techniques, in both; traditional methods and evolutionary meta-heuristics. The performance prediction in this research has its core on the following parameters: biomass, solar radiation, rainfall, and infield’s water extractions. Besides, the needed standards and the efficiency index (EFI) used come from already developed models; such standards include: the root-mean-square error (RMSE), the standard deviation, and the precision percentage. The application of a genetic algorithm on a Takagi-Sugeno system requires and highly precise prediction on wheat cropping; being, 0,005216 the error estimation, and 99,928 the performance percentage
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Direct split-radix algorithm for computing the discrete Hartley transform
           of type-II

    • Authors: Mounir Taha Hamood
      Abstract: This paper presents a new fast algorithm for direct computation of type-II discrete Hartley transform (DHT-II) based on split-radix decomposition. The algorithm is developed through decimation-in-time (DIT) approach, and implemented by splitting a length N of DHT-II into one DHT-II of length N/2 for even-indexed samples and two DHTs-II of length N/4 for odd-indexed samples. The proposed algorithm possesses the desirable properties such as regularity and in-place computation, and it is characterized by simple closed-form expressions leading to substantial reductions in the number of multiplications and additions compared to the existing DHT-II algorithms. Additionally, the validity of the proposed algorithm has been verified through analysing the arithmetic complexity by calculating the number of real multiplications and additions and comparing it with the radix-2 DHT-II algorithm.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Fall risk in the aging population: Fall prevention using smartphones
           technology and multiscale entropy “MSE”

    • Authors: Yeison Alberto Garcés-Gómez; Paula Andrea Duque, Angela Viviana Alzate García, Nicolás Toro-García
      Abstract: Falls are an important aspect of older people's health because they trigger major injuries and even death in one-third of fallen patients, making them a major public health problem. Given the risk of physical and psychological injury, if serious injuries occur as a result of a fall, prevention is an important consideration in today's health care landscape, where the population is predominantly adult worldwide. This paper presents the applicability of a simple technique of analysis of gait signals captured by mobile devices with the objective to the generation of early warnings on the risk of falls in older adults, which correlates with subjective scales. The technique is tested in a population of patients showing results of the significant risk of falls in patients that the subjective scales could not detect, demonstrating that mobile devices and signal processing can become important tools in the service of elderly care in fall risk prevention
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Improved Anti- Noise Attack Ability of Image Encryption Algorithm Using
           De-noising Technique

    • Authors: Mohanad Najm Abdulwahed; Ali Al- kamil Ahmed
      Abstract: Information security is considered as one of the important issues in the information age used to preserve the secret information throughout transmissions in practical applications. With regard to image encryption, a lot of schemes related to information security were applied. Such approaches might be categorized into 2 domains; domain frequency and domain spatial. The presented work develops an encryption technique on the basis of conventional watermarking system with the use of SVD, DCT, and DWT together, the suggested DWT-DCT-SVD method has high robustness in comparison to the other conventional approaches and enhanced approach for having high robustness against Gaussian noise attacks with using denoising approach according to DWT. MSE in addition to the PSNR specified the performance measures which are the base of this study’s results, as they are showing that the algorithm utilized in this study has high robustness against Gaussian noise attacks. 
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Low Cost, High Performance Fuel Cell Energy Conditioning System Controlled
           by Neural Network

    • Authors: Fredy Hernán Martínez; Holman Montiel, Fernando Martínez
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Design and Implementation of Fast and Highly Precise Water Magnetizer

    • Authors: Ahmed Jabbar Abid; Mohammed Abdulhussein Mohammed
      Abstract: Researchers, in the last decades, are widely discussed the effects of magnetized water on many biological and industrial fields. This article presents the design and implementation of a practical device that ensure magnetizing the drinking water. Water magnetized with two types of magnetizers; fix strength field, and variable strength field to ensure supplying the exact required magnetic field and based on the difference in the measured pH level for the input and the output water. Three fixed magnets, with magnetic strengths of a 500G, 1000G, and 1500 G, are installed at different pipe routes, with added to a variable magnetic strength coil, to guarantees processing of magnetizing the water in wanted strength. A smart controller is designed and implemented to process the water efficiently and based on many sensing data. The results show a promising prototype that is not only processing the water efficiently but also supply much data about the water properties which can be led to more findings in this field.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Comparative analysis of PID and neural network controllers for improving
           starting torque of wound rotor induction motor

    • Authors: hashmia Dakheel; Zainab B. Abdulla, Helen Jasim Jawad, Ali Jasim Mohammed
      Abstract: Three phase wound rotor induction machines have main advantages over three phase squirrel-cage induction machines during start-up; it is possible to lessen the starting current while increasing the starting torque by adding external resistance with the rotor.In this study, we propose a simulink model that is implemented in Math Lab environment by PID controller and neural network (Narma-L2) with rotor resistance adaptation. The simulation results show an advance method to develop starting torque by using neural network comparative with conventional control algorithms using PID controller.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • A Novel Two-Polynomial Criteria for Higher-Order Systems Stability
           Boundaries Detection and Control

    • Authors: Md. Hazrat Ali
      Abstract: There are many methods of identifying the general stability of complex dynamic systems. Routh and Hurwitz’s criterion is one of the earliest and commonly used analytical tools analysing the stability of a dynamic system. However, it requires additional derivations of all components of the Routh array to solve the stability problem, even the low-order system. Therefore, it is not a simple method to define, especially analytically, stability boundaries for the coefficients of the system characteristic equation due to tedious and lengthy derivation of all the Routh array elements. The proposed brand-new criterion or algorithm is an effective alternative and more general technique in identifying analytically the stability of up to sixth-order linear time-invariant dynamic system based on the set of unique for all possible system equations (2) and (3) that bind the coefficients of the system characteristic polynomial at the stability boundaries by means of a single additional constant k. The expressions derived on this basis for a higher-order dynamic system can be used effectively to identify the boundaries of its stable behaviour spans. It defines the necessary and sufficient conditions for the absolute stability of higher-order dynamic systems. It also allows the analysing of the system’s precise marginal stability condition (whether stable or not) and the nature of the system roots at the stability boundaries, i.e., when they are relocated on imaginary jω-axis of s-plane. 
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Strategies for use, treatment, management and final disposition of wastes
           in academic laboratories

    • Authors: Vladimir Gaviria González; Fredy Edimer Hoyos Velasco, John Edwin Candelo Becerra
      Abstract: Laboratory higher education institutions can generate a wide range of wastes, many of which have hazardous characteristics. The uncontrolled accumulation of such wastes also has a significant impact on the environment, safety and health of the academic community. This work formulates strategies that allow the development of integrated solutions in order to mitigate the latent risk for the community at Institución Universitaria Colegio Mayor de Antioquia, Colombia, and its surroundings. Therefore, it is considered to quantify the generation of waste in the units of analysis of different experimental spaces and evaluate the factors involved in the implementation of strategies for diagnosis, waste recovery, treatment and final disposition. Based on the diagnosis and characterization of wastes, alternatives are evaluated that help to prevent and, in other cases, mitigate the impacts that they can cause, in order to consolidate a protocol for waste management. Hazardous waste disposition strategies, treatment mechanisms and minimization strategies, such as microchemistry, precipitation recycling, encapsulation and immobilization methods, evaporation as well as solvent recovery, have been implemented.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • RBF Neural Network Control for Parallel Spatial Robot

    • Authors: Hong Quang Nguyen; Van Quyen Nguyen, Nhu Hien Nguyen
      Abstract: The derivation of motion equations of constrained spatial multibody system is an important problem of dynamics and control of parallel robots. The paper firstly presents an overview of the calculating the torque of the driving stages of the parallel robots using Kronecker product. The main content of this paper is to derive the inverse dynamics controllers based on the RBF neural network control law for parallel robot manipulators. Finally, numerical simulation of the inverse dynamics controller for a 3-RRR Delta robot manipulator is presented as an illustrative example.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Using Position Control to Improve the Efficiency Of Wind Turbine

    • Authors: Roshen Tariq Ahmedhamdi; salam waley shneen
      Abstract: Wind energy is one of the renewable energies that can be using to generate electricity. Increasing demand for this type of renewable energy for sustainability and accessibility. Environmentally as it does not cause any pollution in addition to the abundance of required equipment and less maintenance and long operation life of its parts despite the high cost of the system at its installation but at long term, become cheaper. Wind power generators depend on their operation on wind speed and direction. Therefore, it should be installing in places where the wind speed is adequate and sufficient to rotate its rotor, it knows that wind speed is variable in its speed and direction they change every hours and every season. In this design, many practical and theoretical (Simulation) experiments has been done which will be mentioned and explained in details in this research shows that this mechanism raises the efficiency of wind power generators by 80% when the rotor of the wind turbine directed towards the wind than if they were fixed direction.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Integrated Arrangement of Advanced Power Electronics through Hybrid Smart
           Grid System

    • Authors: Nelly Safitri; A. M. Shiddiq Yunus, Fauzi Fauzi, Naziruddin Naziruddin
      Abstract: As an enabler component for renewable energy integration, power electronics (PE) technology in the smart grid system is one of the most important issues of development the electrification, decentralization, and IT/OT digitization within the electrical energy transmission and distribution systems. The arrangement of PE may different along the feeder either for grid-connected photovoltaic (PV), wind turbine, fuel cells, wave energy system, and battery storage unit, respectively. This is due to the electric voltage that might need to be converted from AC to DC and vice versa. For that reason, this paper proposed a concept of advanced PE as an integrated arrangement of several ac/dc/ac- and dc/ac-converters in such ways that support the previously mentioned grid-connected hybrid renewable energy sources and distributed generators (DGs) along the distribution feeder. Additionally, for the system that supported by the battery storage unit, then this hybrid smart grid concept might become the answer for future utility needs. 
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • A Modified Cuk DC-DC Converter for DC Microgrid Systems

    • Authors: Pekik Argo Dahono
      Abstract: A new efficient step-up dc-dc power converter that is suitable for dc microgrid systems is proposed in this paper. The proposed step-up dc-dc converter is derived from the conventional Cuk dc-dc converter. Output voltage analysis that is useful to predict the conduction losses is presented. It is shown that the proposed step-up dc-dc converter is more efficient than conventional dc-dc boost and modified buck-boost converter. Current ripple analysis that is useful to determine the required inductors and capacitors is also presented. Experimental results are included to show the validity of the proposed step-up dc-dc converter.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000

    • Authors: Ain Sahara
      Abstract: Penajam Paser Utara Regency is a district in the province of East Kalimantan, Indonesia. The capital city is located in Sharpeners. This regency still needs electricity for daily survival, one of which is in the village of Waru Tua. This region has the potential to be built in the Solar Power Plant, especially in the jetty area, because the area has a field area exposed to sunlight. One of the people in the area is the livelihood of fishermen. Analysis of Solar Power Plant construction in Waru Tua takes the data of sunlight intensity using Lux Meter, which is then programmed into the Simulink application in MATLAB to find out how much the intensity of sunlight in the area, so that later the calculation results are obtained that the area is feasible or not built Solar Power Plant. Testing the data of sunlight intensity then made with the design method using the MATLAB application. The results of the simulation analysis of data that has been taken, the power obtained from the simulation can be used for 17 housing units with an average power usage per house of ± 900 W with a capacity of 250 Wp solar cell.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Ground Motion Vulnerability Analysis on Road Geometric Based on Remote

    • Authors: Niswah Selmi Kaffa; Bangun Muljo Sukojo
      Abstract: Based on spatial plans document of South Sumatera in 2005 – 2019, the study area (South Ogan Komering Ulu, South Sumatera) was categorized as middle–high ground motion vulnerability. This analysis was aimed to determine ground motion vulnerable points along the Sukabumi Sub-district, South Ogan Komering Ulu District, South Sumatera to Tigadihaji Damsite road geometric plan based on remote sensing. The contribution of this research is to determine the location on road geometry that needs slope reinforcement as a mitigation effort. The method used in this analysis was the deterministic method based on ground motion parameters issued by Center for Volcanology and Geological Disaster Mitigation (PVMBG) in 2015 stated in the National Disaster Management Agency (BNPB) Indonesian Disaster Risk (RBI) document in 2016. The eight parameters used were the justification of remote sensing–based processing methods. The data used in this analysis were Hydrology and Geology Final Reports issued by PT Virama Karya (Persero) consultant, Landsat 8 Satellite Imagery band 5 6 7, Digital Elevation Model (DEM), and Geographic Information System (GIS) of South Sumatera. Based on the analysis, it was proven that the study area was categorized as middle–high ground motion vulnerability with the points classified having high ground motion were station 1+225, 1+250, 1+325, 1+350, 1+375, 1+425, 1+450, 1+700, 1+750, 1+775, 1+800, 1+950, and 1+975.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Spectral opportunity selection based on the hybrid algorithm AHP-ELECTRE

    • Authors: Cesar Hernandez; Carlos Perdomo, Diego Giral
      Abstract: Due to the growing demand for spectrum and the rapid development of wireless applications, technologies such as cognitive radio allow to use the spectrum efficiently. The objective of the present article is to design an algorithm capable of choosing the best channel for data transmission using quantitative methods that can modify the behavior in terms of changes in the quality parameters of the channel. To achieve this task, a hybrid decision-making algorithm is designed that combines AHP algorithms and adjusts weights of each parameter of the channel, using a priority table. The ELECTRE algorithm is in charge of processing the information from each channel with weight matrix to deliver the most favorable result for the type of data to be transmitted. The results show a satisfying performance of the AHP-ELECTRE algorithm when compared to similar alternatives.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • A New Block Cipher for Image Encryption Based on Multi Chaotic Systems

    • Authors: Donia fadil chalob; amal abdulbaqi maryoosh, zainab mohamed esa
      Abstract: In this paper, a new algorithm for image encryption is proposed based on three chaotic systems which are Chen system, Logistic map and 2D Arnold cat map. First, a permutation scheme is applied to the image, then the shuffled image is partitioned into blocks of pixels. For each block, Chen system is employed for confusion and then Logistic map is employed for generating Subsititution-box (S-box) to substitute image blocks. The S-box is dynamic, where it is shuffled for each image block using permutation operation. Then, 2D Arnold cat map is used for providing diffusion, after that  XORing the result using Chen system to obtain the encrypted image. The high  security of proposed algorithm is experimented using histograms, UACI, NPCR, entropy, correlation and key space analyses.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Improved Fuzzy C-Means Algorithm based on a Novel Balanced Clusters
           Mechanism for the Formation of Balanced Clusters in WSNs

    • Authors: Ali Abdulhussian Hassan
      Abstract: The clustering approach is considered as a vital method for many fields such as machine learning, pattern recognition, image processing, information retrieval, bioinformatics, data compression, computer graphics, transformers and others. Similarly, it has great significance in wireless sensor networks (WSNs) by organizing the sensor nodes into specific clusters. Consequently, saving energy and prolonging network lifetime, which is totally dependent on the sensors battery, that is considered as a major challenge in the WSNs. Fuzzy C-means (FCM) is one of Classification algorithm, which is widely used in literature for this purpose in WSNs. However, according to the nature of random nodes deployment manner, on certain occasions, this situation forces this algorithm to produce unbalanced clusters, which adversely affects the lifetime of the network. To overcome this problem, a new clustering method has been proposed by improving the FCM algorithm to form balanced clusters for random nodes deployment. The improvement is done by modifying the output of FCM based on a Novel Balanced Clusters Mechanism (NBCM). Our proposed methods will be evaluated based on four new parameters. Simulation result shows that our proposed algorithm is more superior than FCM by producing balanced clusters in addition to increasing the balancing of the intra-distances of the clusters, which leads to energy conservation and prolonging network lifespan.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • The Detection of Handguns from Live-Video in Real-Time Based on Deep

    • Authors: Mohammed Talal Ghazal; Najwan Waisi, nawal abdullah
      Abstract: Many people have been killed indiscriminately by the use of handguns in different countries. Terrorist acts, online fighting games and mentally disturbed people are considered the common reasons for these crimes. A real-time handguns detection surveillance system is built to overcome these bad acts, based on Convolutional Neural Networks (CNNs). This method is focused on the detection of different weapons, such as (handgun and rifles). The identification of handguns from surveillance cameras and images requires monitoring by human supervisor, that can cause errors. To overcome this issue, the designed detection system sends an alert message to the supervisor when a weapon is detected. In the proposed detection system, a pre-trained deep learning model MobileNetV3-SSDLite is used to perform the handgun detection operation. This model has been selected because it is fast and accurate in infering to integrate network for detecting and classifying weapons in images. The experimental result using global handguns datasets of various weapons showed that the use of MobileNetV3 with SSDLite model both enhance the accuracy level in identifying the real time handguns detection.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • An Efficient IoT Based Bio-medical Health Monitoring and Diagnosing System
           Using MyRIO

    • Authors: Rathy G. A, Sivasankar P; Tamara Z. Fadhil
      Abstract: With the growing and aging population, patient auto monitoring systems are becoming more popular. Smart sensors linked with the Internet of Things (IoT) make patients' auto monitoring system possible. Nowadays myRIO with LabVIEW is more popular for easy data acquisition, instrument control, and automation. This paper proposed myRIO and IoT based Health Monitoring and Diagnosing System (HMDS) to acquire heartbeat rate, pulse, blood pressure (BP), temperature and activities of the patient using various smart sensors. The acquired raw data from the various sensors had been sent to the myRIO using ESP 8266 Wi-Fi module. The received raw data by the myRIO would be processed to the equivalent medical parameters using LabVIEW and the same might be transferred to the Remote Monitoring System (RMS) using cloud via a gateway. The abnormalities in the obtained data would be monitored and the diagnosis was made. The experimental setup was developed using various wearable sensors, ESP 8266, myRIO with LabVIEW and cloud with the gateway.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • New Investigation of a normally-off metal-insulator-Semiconductor (MIS)
           AlInN/AlN/GaN HEMT with an Au-T-gate

    • Authors: Asmae Babaya
      Abstract: In a High Electron Mobility Transistor (HEMT), the density of the two dimensional electron gas (2DEG) channel is modulated by the application of a bias to a Schottky metal gate. These devices are depletion mode (normally-on), which mean that a negative bias must be applied to the gate in order to deplete the electron channel and turn. Actually, the most challenging aspect in the present research activity on based-GaN devices is the development of a reliable way to achieve an enhancement mode (normally-off) HEMT. In fact, enhancement mode GaN HEMTs would offer a simplified circuitry by eliminating the negative power supply. In this paper, we present the different techniques which can influence the threshold voltage and shift it to positive value. A novel E-mode metal-insulator-Semiconductor (MIS) AlInN/GaN HEMT with an Au-T-gate has been investigated. The impacts of window-recess and deep-recess have been discussed, it was found that for dp=28nm and wn=1.8µm the threshold voltage achieve 0.7V and the Gm peak values of 523mS at Vgs=3.5V. The drain current characteristics has been demonstrated.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Analysis And Investigation of Different Model Predictive Control
           Strategies for High-Performance Induction Motor Drives

    • Authors: Nabil Salem Farah
      Abstract: Induction Motor (IM) drives have received a strong interest of researchers and industry, where various control methods such as Vector control (DTC, FOC) have been developed and implemented for high-performance AC drives. With the advancement in power electronics and Digital Signal Processing (DSP), high capability processors have been designed which allows the implementation of advanced control techniques for motor drives. Among these techniques are Model Predictive Control (MPC). In this paper, analysis and investigation of two different MPC techniques are presented. Model Predictive Torque control (MPTC) and Model Predictive Current Control (MPCC) have been applied to IM drives. The two techniques designed in Matlab/Simulink and compared in terms of different operating conditions. Moreover, a comparison of these techniques with FOC and DTC is conducted based on simulation studies with PI speed controller for all control techniques. Based on the analysis, MPC techniques obtained better results compared to FOC and DTC in terms of sp
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
  • Cost implications analysis of grid supplied electricity and solar source
           of electricity in Nigeria

    • Authors: Tobiloba Emmanuel Somefun; Claudius Ojo Awosope, Ademola Abdulkareem, Joseph Ojo, Elizabeth Amuta, Timilehin Sanni
      Abstract:  Energy is a key component in the overall growth of every nation. Insufficient energy delivery hinders political growth, restricts social growth, limits economic growth, and negatively affects the standard of living of citizens, both in urban and rural areas. Sufficient energy delivery increases food production, improves the standards of living of citizens, improves healthcare and enhancements in other human services, enhances industrial output, provides effective and efficient transportation not forgetting adequate shelter to the citizens of the nation. Currently, there is a significant level of deficiency in Nigeria’s energy sector. This study seeks to address this issue by analysing cost implications of conventional energy source and solar energy source. This study brings to focus the payback period of a solar powered home and the return on investment that might accrue during this time to the residential homeowners. Furthermore, the best cost-effective load sharing option for residential owners considering two energy sources is also obtained.
      PubDate: Tue, 01 Dec 2020 00:00:00 +000
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762

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