Volume 5, Issue 4, April 2014

Voltage Stability Analysis of a 16-bus Distribution Network Based on Voltage Sensitivity Factor

Sharmin Jahan and Md. Abdul Mannan

Department of EEE, Faculty of Engineering, American International University, Bangladesh (AIUB), Dhaka, Bangladesh

Abstract– Instability in a power system may be manifested in many different ways depending on the system configuration and operating mode. Voltage instability in power distribution systems could lead to voltage collapse and thus power blackouts. It is required to know the strength of the buses to improve the stability of the system. This paper analyzes and discusses the performance of static voltage stability of a 16 bus test system by varying the loadability with different sensitivities of distributed generation (DG). The synchronous generator, asynchronous generator and fuel cell are included in DG system. The performance analysis has been done by the simulation works using the DIgSILENT Power Factory 14.0. The analysis indicates a negative value of sensitivity with the increasing active power when using the asynchronous generator in various positions. The strength of different buses have been determined throughout the simulation according to the value of sensitivity and found that bus 7 is the weakest bus and bus 8 is the strongest bus. The increase in active power causes a decrease in loadability using asynchronous generator which shows no convergence in load flow after a certain value which means that the voltage is collapsed. So the placement of asynchronous generator in this test system is found inappropriate due to have lacking of reactive power.

Keywords— Voltage Stability, Distributed Generation, Voltage Sensitivity Factor and Loadability

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Face Detection System for Attendance of Class’ Students

Muhammad Fuzail, Hafiz Muhammad Fahad Nouman, Muhammad Omer Mushtaq, Binish Raza, Awais Tayyab and Muhammad Waqas Talib

Department of Computer Science and Engineering, University of Engineering and Technology, Lahore, Pakistan

Abstract– Face detection technology has widely attracted attention due to its enormous application value and market potential, such as face recognition and video surveillance system. Real-time face detection not only is one part of the automatic face recognition system but also is developing an independent research subject. So, there are many approaches to solve face detection. This paper introduces a new approach in automatic attendance management systems, extended with computer vision algorithms. We propose using real time face detection algorithms integrated on an existing Learning Management System (LMS), which automatically detects and registers students attending on a lecture. The system represents a supplemental tool for instructors, combining algorithms used in machine learning with adaptive methods used to track facial changes during a longer period of time. This new system aims to be less time consuming than traditional methods, at the same time being nonintrusive and not interfere with the regular teaching process. The tool promises to offer accurate results and a more detailed reporting system which shows student activity and attendance in a classroom.

Keywords— Computer Vision, Object Tracking, Face Recognition, Machine Learning and Teaching

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ERP Cooperative Acquisition and Promotion Development for Crumbling Stuffs

Muhammad Ayaz, Junaid Qayyum Khan and Sadia Malik

College of Computer Science and Information Systems, Department of Computer Science, Umm Al-Qura University, Makkah Al Mukarramah, Kingdom of Saudi Arabia

Abstract– In this paper, we contemplate a vendor who or that stores an individual or a solitary artifact which is subject to the incessant decay,facades a cost reliant/dependent and also time fluctuating demand, and has the ultimate goal of shaping replace- ment timetable and vending worth to exploit the concern of entire revenue tributary/stream in excess of multi-period development or planning horizon. So the suggested structure might regulate the value either ascending or either descending sporadically which brands the evaluating/pricing dogma further approachable to the concern structure/erection modifications in demand or supply over or up to some extent of the invention/product lifecycle. The only difficulty is that to formulate as bivariate intensification functions, decipherer by dynamic/active programming procedures tied with an iterative/repeated pursuit or search method. These facsimiles/models can be utilized as an add-on optimizer alike an unconventional development scheme or system that synchronizes discrete functions with the objective/aim of exploiting overall profit. Distinct prominence is positioned on the proportional study or analysis between the suggested optimization models that are centered on innumerable trade/retail systems, namely, the inventory followed by shortages ”IFS” and shortages followed by inventory ”SFI” retail systems. Statistical outcome displays that the shortages followed by inventory retail or trade system overtakes the inventory followed by shortages trade system in exploiting the entire turnover/revenue and other reckonable dealings such as diminishing inventory investment/capital.

Keywords— Inventory Followed by Shortages (IFS), Short-ages Followed by Inventory (SFI), Enterprise Resource Planning( ERP), Advance Planning System (APS), Business to Business (B2B) and Business to Commerce (B2C)

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Low grade Waste Heat Recovery for Optimized Energy Efficiencies and Enhanced Sustainability in Process Industries: A comprehensive Review

Umesh Kumar and Dr. M.N. Karimi

Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India

Abstract– This article presents a review of various works focussed on identifying the scope of recovering low grade waste heat in process industry for improving energy efficiency. The review portrays various aspects of heat recovery and the methodologies and technologies being employed for its optimization. Waste heat recovery reduces the overall cost of production by reducing the energy cost. Indirect advantages are increased sustainability through increased life of fossil fuel reserves and the alleviation of burden of environmental and thermal pollution. This work also reviews the opportunities and challenges faced by developing countries in recovering low grade waste heat.

Keywords— Waste Heat Recovery, Thermal Efficiency, Exergy, Optimization and Cost

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