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Publisher: Research Plus Journals   (Total: 4 journals)   [Sort by number of followers]

Showing 1 - 4 of 4 Journals sorted alphabetically
Intl. J. of Advanced Research in Engineering     Open Access  
Intl. J. of Business Administration and Management Research     Open Access  
Intl. J. of Research in Science     Open Access   (Followers: 1)
Intl. Research J. of Electronics & Computer Engineering     Open Access   (Followers: 1)
Journal Cover International Journal of Advanced Research in Engineering
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  This is an Open Access Journal Open Access journal
   ISSN (Online) 2412-4362
   Published by Research Plus Journals Homepage  [4 journals]
  • Development of Photovoltaic Inverter for AC Load

    • Authors: Nur Fairuz Mohamed Yusof; Mazwin Mazlan
      Abstract: This project presents the development of Photovoltaic (PV) push-pull inverter for alternating current (AC) application. There are two main systems in this project which is the PV system and the inverter system. The photovoltaic system consists of the PV panel which is used to seep sunshine to recharge the battery and the solar charger controller circuit that prevent battery from surpluses voltage is connected between solar PV and battery. While the push-pull inverter play a pivotal role in switching from direct current (DC) voltage to AC voltage for the inverter system. Then the AC voltage rose to 230 V by using transformer. The push-pull inverter switching is controlled by a multi-vibrator driver circuit. This project used two light emitting diode (LED) light bulb as an AC load and Metal Oxide Semiconductor Field Effect Transistor (MOSFETs) as the power switches. This project had been analysed through software and hardware prototype for comparison purposed. The efficiency of ideal system that obtains from software simulation is 94.9% while for the hardware prototype is nearly to 95%. While the total harmonic distortion (THD) for both voltage and current is 48.32% from software simulation and 47.9% from hardware prototype analysis. The results have been found in good agreement with the analysis presented in this paper.
      PubDate: Sun, 31 Dec 2017 00:00:00 -060
  • Reliable Low Voltage Circuit Design Techniques

    • Authors: P. John Paul; Raj N
      Abstract: In this paper, non-conventional circuit design techniques has been reviewed. The techniques discussed are widely used for realizing low voltage low power analog circuits. The discussed techniques in this paper are: Bulk Driven, Floating and Quasi-floating Gate followed by operating of Bulk Driven MOSFET in Floating and Quasi-floating Gate mode. In all the approach, the threshold voltage restriction is removed or reduced from the input signal path thereby reducing the power consumption. However, the adverse effect lies is terms of reduced performance parameters of MOSFET compared to conventional gate driven MOSFET parameters as shown in this paper through simulation results. The comparative analysis of MOSFET parameters results in encouragement of two approaches: Quasi-floating Gate and Bulk Driven Quasi-floating Gate MOSFET. Each of these approaches has its advantage in specific domains. Further in this paper, an Operational Transconductance Amplifier is proposed which use the Bulk Driven Quasi-floating Gate MOSFET technique and the same is amplifier under similar conditions is also realized using Bulk Driven MOSFET so as to highlight the advantage of Bulk Driven  Quasi-floating Gate MOSFET over Bulk Driven MOSFET. All the performances metrics are achieved with the help of HSpice simulator using MOSFET models of 180nm technology provided by UMC.
      PubDate: Sun, 31 Dec 2017 00:00:00 -060
  • Study on Developing a System with IP Functionality to Monitor the Status
           of Containers in Maritime Logistics

    • Authors: Tae Hoon Kim; Shin Jun Park, Jong Wook Kim, Byung-O Kang, Mi Jin Jeon, Hyung-Rim Choi, Eun Kyu Lee
      Abstract: There has been increasing demand from consignors and shipping companies for real-time monitoring of maritime cargo due to increases in fresh, dangerous, and high-value cargo. Although larger carriers have developed and integrated their own systems for such real-time monitoring services, small- and medium-sized shippers are struggling with the heavy costs and workforce associated with such capability. This study introduces a system that can do real-time monitoring of the location of shipping containers and their internal status by using IP-RFID that in cludes IP functionality.
      This system is composed of a tag, a smart point, and a service platform.  The monitoring tags are attached to regular containers to track the opening and closing of the doors, the internal temperature, and humidity. The tags then send the data to the smart point where the GPS information is added. The data packet is then finally transmitted to the service platform for location tracking.  In particular, as the tags in this system have IP functionality like Multicast, they are capable of communicating with the users and also allow users to control them. In order to provide such functionality, the smart points can serve as a gateway between the service platform and the tag. By managing the tag’s connection information and the status of transmission at the smart point, the service platform can directly communicate with tags connected to the respective smart point. This technology could be applied in a diverse range of maritime and non-maritime areas including warehouse management. As for maritime logistics, it also often goes through ground, port, and air transportation phases. Further studies should monitor the actual performance of this equipment across the various phases of maritime logistics to empirically test the systems proposed herein.
      PubDate: Sun, 31 Dec 2017 00:00:00 -060
  • Acoustic and Electrical Detection to Localize And Measure the Partial
           Discharge in High Voltage Apparatus

    • Authors: Sobhy S. Dessouky; Adel A. Elfaraskoury, Sherif S.M. Ghoneim, Ramy. N. R. Ghaly
      Abstract: The occurrence of the Partial Discharge (PD) inside the high voltage apparatus especially in power transformer due to some defect in its insulation system results in a catastrophic failure. Determination the magnitude and location of the PD inside the transformer is very valuable to avoid the undesired outage. In this paper, two important issues will discuss. The first issue, measuring the magnitude of the PD by the electrical detection device (The partial discharge analysis system MPD 600) that has many kits to the acquisition and analysis for detecting, recording and analyzing the PD. PD Measuring the circuit of MPD600 connected to point to plane according to IEC60270 with an optical interface by computer that have Metronix software in case of partial prediction. The second issue is determining the PD location to start the maintenance process. In order to locate the PD inside the transformer the acoustic signals that emit from the PD source were measured and therefore, the Time difference of arrival (TDOA) between these signals is estimated. A point to plan gap configuration that is mounted in the acrylic tank that contains the insulating oil is used to develop the PD point source. In addition four piezoelectric sensors are fitted on the tank walls to receive the acoustic signals. The sensors are coupled with acoustic PD detector which outputs are applied to four-channel digital oscilloscope to measure the acoustic signals. The proposed algorithm results demonstrate the ability of the algorithm to determine the PD location.
      PubDate: Fri, 29 Dec 2017 06:32:23 -060
  • Proposal and Evaluation of Pavement Deterioration Prediction Method by
           Recurrent Neural Network

    • Authors: Tomoyuki Okuda; Kouyu Suzuki, Naohiko Kohtake
      Abstract: The pavement deterioration prediction model is a basic module of the PMS (Pavement Management System), and its prediction results influence the decision making of pavement administrators. Hence, it is very important to improve prediction accuracy. There is a rutting depth as a major indicator showing the state of pavement used in PMS. In this research, we propose a method to predict rutting depth by introducing a technique to improve prediction accuracy by suppressing over-fitting by dropout and gradient clipping in the recently rapidly developing NN (Neural Network) model. In addition, since pavement survey data are time series data that were inspected at the same place multiple times, we applied the RNN (Recurrent Neural Network) model which can model time series data. The proposed method was applied to rutting depth prediction of periodic survey data of Kawasaki city in Japan from 1987 to 2016. In order to compare prediction accuracy, we predicted three years later using proposed method and MLR (Multiple Linear Regression) which is a typical regression model and MLP (Multi-Layer Perceptron) which is most frequently used among NN models. The RMSE and correlation coefficient R between the prediction result and the measured value were compared. We validated that the prediction ability of RNN is the highest.
      PubDate: Fri, 29 Dec 2017 06:19:05 -060
  • Experimental Investigation into Influence of Lathe Cutting Parameters on
           Surface Roughness for Ferrous and Non- Ferrous Alloys

    • Authors: Asim M Saddique; Murali R V, Salim R.K
      Abstract: Optimization of lathe cutting parameters is very important as they form the best suitable conditions for the machining operations. For the efficient use of a CNC Lathe, a set of optimum cutting parameters (speed, feed and depth of cut) is an essential requirement. Surface Roughness, which heavily depends on these cutting parameters, is one of the most frequently used standards to define the quality of turned components. In this work, a correlative study of cutting parameters and the surface roughness for ferrous (stainless steel 304) and non–ferrous alloy (aluminum) material is carried out and presented. Response Surface Methodology (RSM) and Analysis of Variance (ANOVA) techniques are employed to investigate the influence of cutting parameters on surface roughness values. Results from contour plots are obtained to investigate the patterns of factors and the responses. The combination of optimum experimental parameters can be found by machining these ferrous and non-ferrous materials in CNC turning center and finding the least surface roughness parameters. ANOVA analysis, integrated with Design Expert© software, is used to determine effective ratios of the parameters and subsequently the relationships between input parameters and their responses relationship are established. The minimum surface roughness results in reference to spindle rpm, feed rate, and depth of cut are determined and estimation of the optimal surface roughness values (Ra) for least surface roughness are the results obtained in the study. This study presents the findings of an experimental investigation into the effect of turning parameters like cutting speed. Feed rate and depth of cut by turning ferrous (stainless steel 304) and non-ferrous material (Aluminium) in the CNC turning center and then checked the surface roughness values with Mitutoyo SJ-301 instrument. The effects of parameters and their correlation with the surface roughness and the optimal values have been analysed. These results establish a firm relationship and correlation between cutting parameters and surface roughness and in doing so, results also achieve an optimal set of machining parameters for select ferrous and non-ferrous materials.
      PubDate: Fri, 29 Dec 2017 05:51:01 -060
  • Glassphalt Concrete Production Using Stone Dust as a Filler through Trial
           Mix Design.

    • Authors: Nkama Amadi E.
      Abstract: Various studies have shown that waste glass has been crushed and screen and can serve as an alternative replacement of fines and coarse aggregate when mixed with Bitumen to form a glassphalt concrete which can be used in landscaping or non-load bearing walls in a building. This researched work was intended to compare and analyze the hot mix glassphalt (HMG) and the strength of asphalt concrete using trial mix design through investigative of their performances. The mineral fillers with different percentage by total weight of the mixture used in the study were crushed igneous rock that passes from 0.075mm to 200mm sieve sizes. However, this production did not only establish the usage of glassphalt but also analysis grade of bitumen like 60/70, 30/40, 80/100, 180/200 etc, its sustainability for various road uses either for priming eg. MCI, tackcoat eg. RSI, or surface dressing e.g S125. Various tests were conducted like water absorption test, marshal stability test, void ration test etc. using bitumen grade 60/70 which has a flash point of 250oc and a melting point of 48 – 56oc. Different types of glassphalt concrete was classified: Macadam, Binder course and wearing course with experimental design to determining the maximum deformation load that will deform the glassphalt concrete to aid in predicting its design life span and equally makes necessary recommendations.
      PubDate: Fri, 29 Dec 2017 05:12:13 -060
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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Fax: +00 44 (0)131 4513327
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