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Publisher: Universitas Ahmad Dahlan   (Total: 18 journals)   [Sort by number of followers]

Showing 1 - 18 of 18 Journals sorted alphabetically
Ahmad Dahlan J. of English Studies     Open Access   (Followers: 2)
Bahastra     Open Access  
Berkala Fisika Indonesia     Open Access  
Bulletin of Electrical Engineering and Informatics     Open Access   (Followers: 8)
HUMANITAS (Jurnal Psikologi Indonesia)     Open Access   (Followers: 4)
Intl. J. of Advances in Intelligent Informatics     Open Access   (Followers: 7)
J. of Education and Learning     Open Access   (Followers: 11)
J. of Education, Health and Community Psychology     Open Access   (Followers: 7)
Jurnal Citizenship     Open Access   (Followers: 2)
Jurnal Hukum Novelty     Open Access  
Jurnal Ilmiah AdMathEdu     Open Access  
Jurnal Informatika     Open Access   (Followers: 1)
Kes Mas : Jurnal Fakultas Kesehatan Masyarakat     Open Access   (Followers: 2)
Media Farmasi     Open Access  
Pharmaciana     Open Access  
Psikopedagogia : Jurnal Bimbingan dan Konseling     Open Access   (Followers: 2)
Spektrum Industri : Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri     Open Access  
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 8, SJR: 0.265, CiteScore: 1)
Journal Cover
Bulletin of Electrical Engineering and Informatics
Number of Followers: 8  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2089-3191 - ISSN (Online) 2302-9285
Published by Universitas Ahmad Dahlan Homepage  [18 journals]
  • Newly Developed Nonlinear Vehicle Model for an Active Anti-roll Bar System

    • Authors: Noraishikin Binti Zulkarnain
      Abstract: This paper presents the development of a simplified linear vehicle model consists of  half car modelling with single track bicycle model, verification and validation of the model. As for the verification of simplified vehicle model, a newly developed  nonlinear vehicle model is used in the validation process of the vehicle model. The parameters chosen in a newly developed vehicle model is developed based on Carsim vehicle model by using  non-dominated sorting genetic algorithm version II (NSGA-II) optimization method. The ride comfort and handling performances have been one of the main objective in order to fulfil the expectation of customers in the vehicle development. Full nonlinear vehicle model which consists of ride, handling and Magic tyre subsystems  has been derived and developed in MATLAB/Simulink. Then, optimum values of the full nonlinear vehicle parameters are investigated by using NSGA-II. The two objective functions are established based on RMS error between simulation and benchmark system. A stiffer suspension provides good stability and handling during manoeuvres while softer suspension give better ride quality. The final results indicated that the newly developed nonlinear vehicle model is behaving accurately with input ride and manoeuvre. The outputs trend are successfully replicated.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Fabrication of new nanocomposites (PMMA-SPO-PS-TiC) and Studying Their
           Structural and Electrical Properties and their applications as Humidity
           Sensors

    • Authors: Bahaa Rabee, idrees oreibi
      Abstract:   ABSTRACT samples have been prepared by adding Titanium carbide  nanoparticles to the Poly(methyl methacrylate) and  Ethylene-alpha olefin  co-polymer(SPO) and Polystyrene(PS) with different weight percentages (o, 2, 4,6 and 8) wt%. . The FTIR analysis,electrical,dielectric , and structural properties have been studied.The dielectric loss and The dielectric constant  decrease with  increasing of Titanium carbide (TiC) nanoparticles . The A.C electrical conductivity increases with increasing of Titanium carbide (TiC) concentrations and frequency. The D.C electrical conductivity  increases with increasing of Titanium carbide (TiC) concentration and temperature. the  Activation energy decreases with increasing of Titanium carbide (TiC) nanoparticles. The Humidity  sensor application of  showed that the electrical resistance of  (PMMA-SPO-PS-TiC) nanocomposites decreases with increase the Humidity.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Synthesis of (Poly-methyl methacrylate –Lead Oxide) Nanocomposites and
           Studying their A.C Electrical Properties For Piezoelectric Applications

    • Authors: Ahmed Hashim Ah-yasari
      Abstract: Piezoelectric materials have been prepared from (poly-methyl methacrylate –lead oxide) nanocomposites for electronic applications. The lead oxide nanoparticles were added to poly-methyl methacrylate by different concentrations are (4, 8 and 12) wt.%. The structural and dielectric properties of nanocomposites were studied. The results showed that the dielectric constant and  dielectric loss of nanocomposites decrease with increase in frequency of applied electric field. The A.C electrical conductivity increases with increase in frequency. The dielectric constant, dielectric loss and A.C electrical conductivity of poly-methyl methacrylate increase with increase in lead oxide nanoparticles concentrations. The results of pressure sensor showed that the electrical resistance of (PMMA-PbO2) nanocomposites decreases with increase in  pressure .
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Robust Watermarking through Dual Band IWT and Chinese Remainder Theorem

    • Authors: Prajanto Wahyu Adi, Farah Zakiyah Rahmanti, Edy Winarno
      Abstract: CRT was a widely used algorithm in the development of watermarking methods. The algorithm produced good image quality but it had low robustness against compression and filtering. This paper proposed a new watermarking scheme through dual band IWT to improve the robustness and preserving the image quality. The high frequency sub band was used to index the embedding location on the low frequency sub band. In robustness test, the CRT method resulted average NC value of 0.7129, 0.4846, and 0.6768 while the proposed method had higher NC value of 0.7902, 0.7473, and 0.8163 in corresponding Gaussian filter, JPEG, and JPEG2000 compression test. Meanwhile the both CRT and proposed method had similar average SSIM value of 0.9979 and 0.9960 respectively in term of image quality. The result showed that the proposed method was able to improve the robustness and maintaining the image quality.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Objective and Subjective Evaluations of Adaptive Noise Cancellation
           Systems with Selectable Algorithms for Speech Intelligibility

    • Authors: Roshahliza M Ramil, Salina Abdul Samad, Ali O. Abid Noor
      Abstract: Adaptive Noise Cancellation (ANC) systems with selectable algorithms refer to ANC systems that are able to change the adaptation algorithm based on the eigenvalue spread of the noise. These systems can have dual inputs based on the conventional ANC structure or a single input based on the Adaptive Line Enhancer (ALE) structure. This paper presents a comparison of the performance of these two systems using objective and subjective measurements for speech intelligibility. The parameters used to objectively compare the systems are the Mean Square Error (MSE) and the output Signal to Noise Ratio (SNR). For subjective evaluation, listening tests were evaluated using the Mean Opinion Score (MOS) technique. The outcomes demonstrate that for both objective and subjection evaluations, the single input ALE with selectable algorithms (S-ALE) system outperforms that of the dual input ANC with selectable algorithm (S-ANC) in terms of better steady-state MSE by 10%, higher SNR values for most types of noise, higher scores in most of the questions in the MOS questionnaire and a higher acceptance rate for speech quality.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Local Entropy and Standard Deviation for Facial Expressions Recognition in
           Thermal Imaging

    • Authors: Yomna M. Elbarawy, Rania S. El-Sayed, Neveen I. Ghali
      Abstract: Emotional reactions is the best way to express human attitude and thermal imaging mainly used to utilize detection of temperature variations as in detecting spatial and temporal variation in the water status of grapevine. By merging the two facts this paper presents the Discrete Cosine Transform (DCT) with Local Entropy (LE) and Local Standard Deviation (LSD) features as an efficient filters for investigating human emotional state in thermal images. Two well known classifiers, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) were combined with the earlier features and applied over a database with variant illumination, as well as occlusion by glasses and poses to generate a recognition model of facial expressions in thermal images. KNN based on DCT and LE gives the best accuracy compared with other classifier and features results.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Python Application: Hopfield Discrete Method for Hiragana Images
           Recognition

    • Authors: Dicky Nofriansyah, Hendriktio Freizello
      Abstract: Python is a dynamic object-oriented programming language. Python provides strong support for integration with other programming languages and other tools. Python programming is rarely used in the field of artificial intelligence, especially artificial neural networks. This research focuses on running Python programming to recognize hiragana letters. In learning the character of Hiragana, one can experience difficulties because of the many combinations of vowels that form new letters by different means of reading and meaning. Discrete Hopfield network is a fully connected, that every unit is attached to every other unit. This network has asymmetrical weights. At Hopfield Network, each unit has no relationship with itself. Therefore it is expected that a computer system that can help recognize the Hiragana Images. With this pattern recognition Application of Hiragana Images, it is expected the system can be developed further to recognize the Hiragana Images quickly and precisely.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Curtain Control Systems Development on Mesh Wireless Network of the Smart
           Home

    • Authors: Trio Adiono, Sinantya Feranti Anindya, Syifaul Fuada, Maulana Yusuf Fathany
      Abstract: In this paper, a curtain controller for smart home is presented. This work aims to develop an end device in the smart home system that will support power conservation function indirectly, especially a curtain open/close controller. To achieve this, the 28BYJ-48 stepper motor is used as an actuator with the assistance of the ULN2003A driver. The motor is controlled using STM32L100RCT6 microcontroller, which is chosen due to its low power consumption. The microcontroller controls the motor’s direction by using a pulse width modulation logic signals emitted from four GPIO pins, which works based on data transmitted from the central host through ZigBee protocol on Mesh network. Meanwhile, from the user’s side, the control is done by using Android-based application, which is connected to the central host through Bluetooth. Based on the testing conducted on a small curtain, the curtain can be controlled wirelessly through the Android application. Furthermore, the device consumes power 210.5 mW for idle condition and 1,586 mW for process condition. The amount of the consumed power makes it suitable for low-power operation and in alignment with the smart home system’s overall aim for power conservation in the wireless sensor network-based smart home system.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Number of Iteration Analysis for Complex FSS Shape Using GA for Efficient
           ESG

    • Authors: Nornikman Hassan, Zahriladha Zakaria, Badrul Hisham Ahmad, Naim Che Pee, Siti Nadzirah Salleh, Mohamad Zoinol Abidin Abd Aziz, Mohd Fareq Abdul Malek, Mohd Khairy Ismail
      Abstract: ESG stand for Energy-Saving Glass is a special shielded glass with a metallic oxide layer to abuse undesirable of infrared and ultraviolet radiation into construction assemblies like our home. Firstly, different number of the iteration is the main thing to study a performance of the frequency selective surface shape using genetic algorithm (GA) for efficient energy saving glass (ESG). Three different values for the number of iterations were taken that is 1500, 2000 1nd 5000. Before that, the response of this complex FSS shape on incident electromagnetic wave with different symmetry shape are investigating. Three of them are no symmetrical shape, ¼ symmetrical shape, and 1/8 symmetrical shape. The 1500 number simulation considered about 89.000 per second, compared with 2000 iteration and 5000 iterations had consumed 105.09 per second and 196.00 per second, respectively. For 1/8 symmetry complex FSS shape, it demonstrations the improved performance of transmission loss at 1.2 GHz with - 40 dB. A 2 dB of transmission loss is achieved at WLAN application of 2.45 GHz with 0°, 30°, and 45° incidence angle shows.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Simple Mail Box Design of Dual Band Microstrip Patch Antenna for Wireless
           LAN Communications

    • Authors: K. Thana Pakkiam, K. Baskaran, J. S. Mandeep
      Abstract: In this paper, a simple mail box design of a dual band microstrip patch antenna, is proposed, designed, fabricated and measured for wireless LAN communications. The proposed antenna is designed using the TLC 30 (TACONIC) substrate, with a relative permittivity of 4.3 and substrate height of 1.6mm. It is designed to operate at 2.44 GHz and 5. 30 GHz respectively. The proposed antenna is the size of 31mm x 34mm x1.6mm and is incited by a 50 Ω micro strip feed line. The characteristics of the antenna are designed and the performance of the modelled antenna is evaluated using CST Microwave Studio. The return loss, radiation patterns and peak antenna gain of 6.5 dBi for frequency 2.44 GHz and 6.2 dBi for 5.30 GHz is separately and successfully plotted. The fabricated prototype exhibits an agreement between the measured and simulated return loss.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Defense-through-Deception Network Security Model: Securing University
           Campus Network from DOS/DDOS Attack

    • Authors: M. A. Naagas, E. L. Mique Jr, T. D. Palaoag, J. S. Dela Cruz
      Abstract: Denial of Service (DOS) and (DDOS) Distributed Denial of Service attacks have become a major security threat to university campus network security since most of the students and teachers prepare online services such as enrolment, grading system, library etc. Therefore, the issue of network security has become a priority to university campus network management. Using online services in university network can be easily compromised. However, traditional security mechanisms approach such as Defense-In-Depth (DID) Model is outdated in today’s complex network and DID Model has been used as a primary cybersecurity defense model in the university campus network today. However, university administration should realize that Defense-In-Depth (DID) are playing an increasingly limited role in DOS/DDoS protection and this paper brings this fact to light. This paper presents that the Defense-In-Depth (DID) is not capable of defending complex and volatile DOS/DDOS attacks effectively. The test results were presented in this study in order to support our claim. The researchers established a Defense-In-Depth (DID) Network model at the Central Luzon State University and penetrated the Network System using DOS/DDOS attack to simulate the real network scenario. This paper also presents the new approach Defense-through-Deception network security model that improves the traditional passive protection by applying deception techniques to them that give insights into the limitations posed by the Defense-In-Depth (DID) Model. Furthermore, this model is designed to prevent an attacker who has already entered the network from doing damage.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Fuzzy Logic Approach to Identify Deprivation Index in Peninsular Malaysia

    • Authors: Muhammad Azam Haris Che Amat, Syibrah Naim, Syerrina Zakaria
      Abstract: Deprivation indices are similar to inequalities index or index of disadvantageous. It was built to measure the basic necessities in a specific study area or region. There were many indices that have been constructed in the previous study. However, since these indices had depended mostly on two factors; socio-economic conditions and geography of the study area, thus different result would be generated in different areas. The objective of this study is to construct the new index based on above factors in Peninsular Malaysia by using a fuzzy logic approach. This study employed twelve variables from different facilities condition that was obtained from Malaysia 2000’s census report. These variables were considered as input parameters in the fuzzy logic system. Data turned into linguistic variables and shaped into rules in the form of IF-ELSE conditions. After that, the centroid of area method is applied to acquire the final deprivation index for a specific district in Peninsular Malaysia. The result showed that less developed states generated lower index for examples Kelantan and Kedah while more developed states generated a higher index for examples Selangor and W.P. Kuala Lumpur.  
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Hybridization of Bat and Genetic Algorithm to Solve N-Queens Problem

    • Authors: Abbas Fadhile Jasim Al-Gburi, Syibrah Naim, Aziz Nasser Boraik
      Abstract: In this paper, a hybrid of Bat-Inspired Algorithm (BA) and Genetic Algorithm (GA) is proposed to solve N-queens problem. The proposed algorithm executes the behavior of microbats with changing pulse rates of emissions and loudness to final all the possible solutions in the initialization and moving phases. This dataset applied two metaheuristic algorithms (BA and GA) and the hybrid to solve N-queens problem by finding all the possible solutions in the instance with the input sizes of area 8*8, 20*20, 50*50, 100*100 and 500*500 on a chessboard. To find the optimal solution, consistently, ten run have been set with 100 iterations for all the input sizes. The hybrid algorithm obtained substantially better results than BA and GA because both algorithms were inferior in discovering the optimal solutions than the proposed randomization method. It also has been discovered that BA outperformed GA because it requires a reduced amount of steps in determining the solutions.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Analysis on the Performance of Technology Companies with Z-score Model

    • Authors: Lam Weng Hoe, Yeoh Hong Beng, Lam Weng Siew, Chen Jia Wai
      Abstract: Local technology sector plays a significant role in information and communication technology (ICT) based innovations and applications which enhance organizational performance as well as national economic growth and labor productivity. In this paper, financial performance of the listed Malaysia companies in technology sector is analyzed and evaluated. Altman’s Z-score model is proposed due to its robustness in determining companies’ financial distress level using five financial ratios as variables. The computed Z-score values classify the financial status of the companies into distress, grey and safe zones. This study investigates the financial data of 23 listed technology-based companies in the Main Market of Bursa Malaysia over the period of 2013 to 2017. The findings reveal that the percentage of safe zone companies increase throughout the five years whereas distress zone companies decline. It is concluded that financial ratio for market value of equity to total liabilities is the dominant factor that directly influences the level of financial distress among these technology-based companies in Malaysia. These research outcomes provide an insight to investors or policy makers to develop future planning in order to avoid financial failure in local technology sector.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Microwave Planar Sensor for Determination of the Permittivity of
           Dielectric Material

    • Authors: Mohd Khairy Ismail, Zahriladha Zakaria, Nornikman Hassan, Sam Weng Yik, Mohd Mawardy Abdullah
      Abstract: This paper proposed a single port rectangular microwave resonator sensor. This sensor operates at the resonance frequency of 4GHz. The sensor consists of micro-strip transmission line and applied the enhancement method. The enhancement method is able to improve the return loss of the sensor, respectively. Plus, the proposed sensor is designed and fabricated on Roger 5880 substrate. Based on the results, the percentage of error for the proposed rectangular sensor is 0.2% to 8%. The Q-factor of the sensor is 174.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Mobile Business Intelligence Acceptance Model for Organisational Decision
           Making

    • Authors: Lim Yee Fang, Nurulhuda Firdaus Mohd Azmi, Yazriwati Yahya, Haslina Sarkan, Nilam Nur Amir Sjarif, Suriayati Chuprat
      Abstract: Mobile Business Intelligence (BI) is the ability to access BI-related data such as key performance indicators (KPIs), business metric and dashboard through mobile device. Mobile BI addresses the use-case of remote or mobile workers that need on-demand access to business-critical data. User acceptance on mobile BI is an essential in order to identify which factors influence the user acceptance of mobile BI application. Research on mobile BI acceptance model on organizational decision-making is limited due to the novelty of mobile BI as newly emerged innovation. In order to answer gap of the adoption of mobile BI in organizational decision-making, this paper reviews the existing works on mobile BI Acceptance Model for organizational decision-making. Two user acceptance models which are Technology Acceptance Model and Technology Acceptance Model for Mobile Services will be review. Realizing the essential of strategic organizational decision-making in determining success of organizations, the potential of mobile BI in decision-making need to be explore. Since mobile BI still in its infancy, there is a need to study user acceptance and usage behavior on mobile BI in organizational decision-making. There is still opportunity for further investigate the impact of mobile BI on organizational decision-making.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Improving Consistency of UML Diagrams and Its Implementation Using Reverse
           Engineering Approach

    • Authors: Vasanthi Kaliappan, Norhayati Mohd Ali
      Abstract: Software development deals with various changes and evolution that cannot be avoided due to the development processes which are vastly incremental and iterative. In Model Driven Engineering, inconsistency between model and its implementation has huge impact on the software development process in terms of added cost, time and effort. The later the inconsistencies are found, it could add more cost to the software project. Thus, this paper aims to describe the development of a tool that could improve the consistency between Unified Modeling Language (UML) design models and its C# implementation using reverse engineering approach. A list of consistency rules is defined to check vertical and horizontal consistencies between structural (class diagram) and behavioral (use case diagram and sequence diagram) UML diagrams against the implemented C# source code. The inconsistencies found between UML diagrams and source code are presented in a textual description and visualized in a tree view structure.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • A Simple Way to Maintain the Top 50 Ranking Scientists in the SINTA from
           Excessive Self-Citations

    • Authors: Tole Sutikno, Herman Yuliansyah, Lina Handayani
      Abstract: Top 50 authors in the Science and Technology Index (SINTA) is become popular as Indonesian top 50 ranking scientists to measure both the productivity and quality of the publications. Unfortunately, to get a high ranking in SINTA, some authors are strongly indicated that they do instant and unfair ways through citation cartels or self-citation. Based on manual investigation, excessive self-citations are conducted through publication in international conference. This paper proposed a simple way to drop abuse of excessive self-citations by categorized research articles as main publication and others as secondary publication based on Scopus database. This method is proposed to avoid perverse and unintended effects on the direction of research and publication in Indonesia.

      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Distribution Network Reconfiguration Using Binary Particle Swarm
           Optimization to Minimize Losses and Decrease Voltage Stability Index

    • Authors: Aji Akbar Firdaus, Ontoseno Penangsang, Adi Soeprijanto, Dimas Fajar U.P.
      Abstract: Power losses and voltage drop are existing problems in radial distribution networks. This power losses and voltage drop affect the voltage stability level. Reconfiguring the network is a form of approach to improve the quality of electrical power. The network reconfiguration aims to minimize power losses and voltage drop as well as decreasing the Voltage Stability Index (VSI). In this research, network reconfiguration uses binary particle swarm optimization algorithm and Bus Injection to Branch Current-Branch Current to Bus Voltage (BIBC-BCBV) method to analyze the radial system power flow. This scheme was tested on the 33-bus IEEE radial distribution system 12.66 kV. The simulation results show that before reconfiguration, the active power loss is 202.7126 kW and the VSI is 0.20012. After reconfiguration, the active power loss and VSI decreased to 139.5697 kW and 0.14662, respectively. It has decreased the power loss for 31.3136% significantly while the VSI value is closer to zero.

      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Basic Robotecnical Platform For Implementation Of Accurate Farming
           Technologies

    • Authors: Denis B. Solovev, N. I. Tchernyshev, O. E. Sysoev, E. P. Kiselyov
      Abstract: Modern world agricultural science pays much attention to the development of technological robots for the cultivation of crops, ensuring the highest environmental requirements. One of the problems in the implementation of this program is the creation of agricultural complexes that reliably ensure the accuracy of the specified technological parameters. And also a decrease in the dependence of the work of mechanisms on the state of the soil as the carrier base, and on the weather conditions. The proposed agrotechnical automated self-propelled platform (AASP) is designed to perform a set of programmed agrotechnical norms of cultivation crops in an automated mode with access to a single plant. Rigid supports, where the working range of the platform is tested, regardless of soil moisture. At the same time, significantly reduced energy costs associated with moving the unit across the field, ensuring the accuracy of the program agrotechnical measures. The dependence of the timing of agricultural techniques on soil-climatic conditions decreases, the structure of the soil cover is destroyed, and the ecological character of farming is significantly increased. Agrotechnical automated self-propelled platform, is a metal structure of the profiles of the П-shaped and rectangular section. The platform is the basis for the installation of interchangeable process units and propellers, which ensure the movement of the platform along and across the landfill. The technological module with a set of operating elements moves along the platform guides, performing a programmed set of operations. The daily productivity of AASP is about 100 hectares, for the vegetation period it processes the area of not less than 5000 hectares. The agrotechnical automated self-propelled platform is capable of solving the problems of precision farming.
      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Features for Cross Spectral Image Matching : A Survey

    • Authors: Maulisa Oktiana, Fitri Arnia, Yuwaldi Away, Khairul Munadi
      Abstract: In the recent years, cross spectral matching has been gaining attention in various biometric systems for identification and verification purposes. Cross spectral matching allows an image taken under different electromagnetic spectrums to match each other. In cross spectral matching, one of the keys to successful matching is determined by the feature used for representing an image. Therefore the feature extraction step becomes an essential tasks. The researchers improve matching accuracy by developing a robust feature. This paper presents a comprehensive survey of robust descriptors and feature extraction methods that are used in cross spectral matching. This survey covers basic concepts of cross spectral matching, visual and thermal features extraction, and state of the art descriptors. This summary gives a description for better feature selection method in cross spectral matching.

      PubDate: 2018-12-01
      Issue No: Vol. 7 (2018)
       
  • Assessment of Electromagnetic Absorption towards Human Head Using Specific
           Absorption Rate

    • Authors: Abdul Rashid.O. Mumin, R. Alias, Jiwa Abdullah, Samsul Haimi Dahlan, Jawad Ali
      Abstract: This paper presents a compact square slot patch antenna characterstics for wireless body area network (WBANs) applications.The assessment of the effects of electromagnetic energy (EM) on the human head is necessary because the sensitivity of human head to high radiation level. Although, structuring of low EM antennas is a major problem in the improvement of portable device and reducing the size of of the antenna is a major concern. However, performance of antenna reduces when antenna operates near human body which is lossy and complex in nature. The proposed antenna operates at 5.8GHz of the ISM Band for WBAN applications. The antenna has been designed and simulated with two different types of multilayer human head phantoms to characterize the antenna near the human head.The multilayer head phantom is constructed by five layers tissues head model using CST Microwave studio. Therefore, antenna with spherical phantom has the highest SAR value 0.206 W/Kg, while antenna with cubical phantom contributed the lowest SAR value of 0.166 for 10 g tissue at 5.8 GHz frequency exposed, whereas, the antenna with cubical phantom and spherical phantom have gain of 6.46 dBi and 6.2 dBi GHz respectively. It was observed that antenna performance significantly increased. The presented prototype has a potential to work for ISM applications.
      Issue No: Vol. 7
       
 
 
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