bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-input DC-AC Inverter for Hybrid Renewable Energy Power System
Authors: Rosli Mohd Azman , Yahaya Nor Zaihar , Baharudin Zuhairi
Published: October 2019

The objective of this paper is to design a multi-input dc-ac inverter integrated photovoltaic array, wind turbine and fuel cell in order to simplify the hybrid power system and reduce the cost.  The output power characteristics of the photovoltaic array, wind turbine and fuel cell are introduced. The operational principle and technical details of the proposed multi-input dc-ac inverter is then explained. The proposed inverter consists of a three input flyback dc-dc converter and a single phase full bridge dc-ac inverter. The control strategy for the proposed inverter to distribute the power reasonably to the sources and it achieved a priority of the new energy utilization is discussed. This multi-input dc-ac inverter is capable of being operated in five conditions and power delivered to the ac load can be either individually or simultaneously. First to third condition occurs when the power delivered from either renewable energy sources individually, fourth condition happens when power is demanded from two sources simultaneously, and finally when power are available from three sources simultaneously. The proposed inverter has been simulated by employing NI Multisim 12.0 circuit simulator.
Augmented Reality Navigation System on Android
Authors: Chung Chee Oh , He Yilun , Jung Hoe Kyung
Published: October 2019

With the advent of the Android system, smart phones are rapidly developing and through the conveniency of accessing internet on the smart phones, a user’s location information can be accessed anywhere and anytime easily. Augmented Reality Based Technology enables the provision of variety information such as pictures and location of buildings in the navigation field. Most of the augmented reality program used to Visual Trace Method (Marker method and Markerless Method). For the Visual Trace Method, the marker installation and digital information should be assigned while the Non-visual Trace Method requires the use of hardware (G.P.S, sensors etc). Most navigation systems can only show the path from a user’s current location to their destination. In this paper, the design and implementation of an augmented reality program is discussed. It will use the smart phone’s inbuilt camera and GPS to display a user’s surround information in real time on the smart phone. The proposed system will combine the G.P.S location-based technology and virtual trace technology to provide the user with basic information about a building they are looking for or one in their immediate surrounding.
Issues in Routing Mechanism for Packets Forwarding: A Survey
Authors: Devikar Rohit Nilkanth , V. Patil Dipak , Chandraprakash V.
Published: October 2019

Nowadays internet has become more popular to each and every one. It is very sensitive to nodes or links failure due to many known or unknown issues in the network connectivity. Routing is the important concept in wired and wireless network for packet transmission. During the packet transmission many times some of the problems occur, due to this packets are being lost or nodes not able to transmit the packets to the specific destination. This paper discusses various issues and approaches related to the routing mechanism. In this paper, we present a review and comparison of different routing algorithms and protocols proposed recently in order to address various issues. The main purpose of this study is to address issues for packet forwarding like network control management, load balancing, congestion control, convergence time and instability. We also focus on the impact of these issues on packet forwarding.
Application of Component Criticality Importance Measures in Design Scheme of Power Plants
Authors: Bisanovic Smajo , Samardzic Mersiha , Aganovic Damir
Published: October 2019

This paper presents application of component criticality importance measures in phase of preparation and design of power plants. These measures provide a numerical rank to determine which components are more important for power plant reliability improvement or more critical for power plant failure. Identifying critical components for power plant reliability provides an important input for decision-making and guidance throughout the development project. The study on several schematic design options of conventional thermal power plant show that the importance measures can be used as an effective tool to assess component criticality in the project phase of new production capacities.
Economic Valuation of Power and Energy Losses in Distribution Networks
Authors: Bisanovic Smajo , Samardzic Mersiha , Aganovic Damir
Published: October 2019

This paper presents a framework for determining the price of power and energy at each node in distribution network as well as the price of energy losses in their elements. The proposed framework is based on the concept of the radial structure network and gives one approach to solving the pricing problem that is based on purchase price of power and energy at the network supply point. In this way it is possible to determine the economic value of energy losses whether in the network as a whole or in particular voltage levels. The model has been successfully tested and results from test studies are reported.
An Extender Kalman Filter-based Induction Machines Faults Detection
Authors: Chahmi Abdelghani , Bendjebbar Mokhtar , Raison Bertrand , Benbouzid Mohamed
Published: October 2019

This paper deals with the detection and localization of electrical drives faults, especially those containing induction machines. First, the context of the study is presented and an Extended Kalman Filter is described for induction machines fault detection. Then the modeling procedure under faulty conditions is shown, and the machine diagnosis methods are developed. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.Fault detection uses signal processing techniques in known operating phases (fixed speed), considering and locating malfunctions.
Wind Energy Conversion Systems Based On a DFIG Controlled By Indirect Vector Using PWM And SVM
Authors: Cherfia Naim , Kerdoun Djallel
Published: October 2019

A well-prepared abstract enables the reader to identify the basic content of a document quickly and accurately,). This work presents consideration and use of the asynchronous generator in the production of wind energy. To do this, a model of the wind turbine has been established, the mathematical model of the doubly fed induction generator (DFIG) variable speed is presented and the control quantities used when integrated with a wind system. A modeling in a diphasic reference mark related to the stator field and a strategy vector control active and reactive power are offered with a PWM and SVM technique for inverter control is considered in our work.
An Effective Noise Adaptive Median Filter for Removing High Density Impulse Noises in Color Images
Authors: Saleem S. Abdul , Razak T. Abdul
Published: October 2019

Images are normally degraded by some form of impulse noises during the acquisition, transmission and storage in the physical media. Most of the real time applications usually require bright and clear images, hence distorted or degraded images need to be processed to enhance easy identification of image details and further works on the image. In this paper we have analyzed and tested the number of existing median filtering algorithms and their limitations. As a result we have proposed a new effective noise adaptive median filtering algorithm, which removes the impulse noises in the color images while preserving the image details and enhancing the image quality. The proposed method is a spatial domain approach and uses the 3×3 overlapping window to filter the signal based on the correct selection of neighborhood values to obtain the effective median per window. The performance of the proposed effective median filter has been evaluated using MATLAB, simulations on a both gray scale and color images that have been subjected to high density of corruption up to 90% with impulse noises. The results expose the effectiveness of our proposed algorithm when compared with the quantitative image metrics such as PSNR, MSE, RMSE, IEF, Time and SSIM of existing standard and adaptive median filtering algorithms.
Design of a Wireless Sensor Node for Vibration Monitoring of Industrial Machinery
Authors: Jaber Alaa Abdulhady , Bicker Robert
Published: October 2019

Machine healthy monitoring is a type of maintenance inspection technique by which an operational asset is monitored and the data obtained is analysed to detect signs of degradation, diagnose the causes of faults and thus reducing the maintenance costs. Vibration signals analysis was extensively used for machines fault detection and diagnosis in various industrial applications, as it respond immediately to manifest itself if any change is appeared in the monitored machine. However, recent developments in electronics and computing have opened new horizons in the area of condition monitoring and have shown their practicality in fault detection and diagnosis processes. The main aim of using wireless embedded systems is to allow data analysis to be carried out locally at field level and transmitting the results wirelessly to the base station, which as a result will help to overcome the need for wiring and provides an easy and cost-effective sensing technique to detect faults in machines. So, the main focuses of this research is to design and develop an online condition monitoring system based on wireless embedded technology that can be used to detect and diagnose the most common faults in the transmission systems (gears and bearings) of an industrial robot joints using vibration signal analysis.
A Hybrid Approach of Fuzzy C-means Clustering and Neural network to make Energy-Efficient heterogeneous Wireless Sensor network
Authors: Kaushik Amit Kumar
Published: October 2019

The Wireless sensor network has been highly focused research area in recent times due to its wide applications and adaptability to different environments. The energy-constrained sensor nodes are always under consideration to increase their lifetime. In this paper we have used the advantages of two approaches i.e. fuzzy c-means clustering and neural network to make an energy efficient network by prolonging the lifetime of network. The cluster formation is done using FCM to form equally sized clusters in network and the decision of choosing cluster head is done using neural network having input distance from basestation, heterogeneity and energy of the node. Our Approach has successfully increased the lifetime and data capacity of the network and outperformed different approaches applied to the network present in literature. 
Designing and Simulation of Surrounding Supporting Multicast Routing Protocol
Authors: Mahaboob Jani Shaik , Umar Syed , Prasada Rao P.V.R.D , Gutta Sridevi
Published: October 2019

In the Wireless sensor networks having of multi-hop transmission in the Adhoc networks. These Adhoc networks having advantages of limited bandwidth and mobility which is more useful for the changing of and usage of various protocols, so that these Adhoc networks having energy conservation, simple to construct, robustness. In this paper we are proposing a new protocol called Surrounding supporting multicast routing protocol [SSMRP]. This protocol uses the mesh networks to enhance the resilience against change of node. This SSMRP utilizes the node locality which reduces the overhead of the route maintenance and it also reduces the route for good data transmissions. In this paper we clearly explain how the data will be delivered   efficiently by reducing the overheads.
Identification of Acoustic Signals of Internal Electric Discharges on Glass Insulator under Variable Applied Voltage
Authors: Al-geelani Nasir A. , M. Piah M. Afendi , Saeh Ibrahim , Othman Nordiana Azlin , Muhamedin Fatin Liyana , Kasri N. F.
Published: October 2019

A Partial Discharge (PD) is an unwanted phenomenon in electrical equipment. Therefore it is of great importance to identify different types of PD and assess their severity. This paper investigates the acoustic emissions associated with Internal Discharge (ID) from different types of sources in the time-domain. An experimental setup was arranged in the high voltage laboratory, a chamber with an electrode configuration attached to it was connected to a high voltage transformer for generating various types of PD. A laboratory experiment was done by making the models of these discharges. The test equipment including antennas as a means of detection and digital processing techniques for signal analysis were used. Wavelet signal processing was used to recover the internal discharge acoustic signal by eliminating the noises of many natures.
Use of Photovoltaics in Microgrid as Energy Source and Control Method Using MATLAB/SIMULINK
Authors: Rahman Sumaiya , Rahman Hasimah Abdul
Published: October 2019

Microgrid in power system has drawn wide attention due to its significant benefits in terms of sustainable energy system in recent years. This approach is the most economical alternative to conventional energy system which uses Renewable Energy (RE) resources. RE sources ensure pollution free and clean environment by emitting zero CO2. This paper proposes a design of a microgrid system using solar photovoltaics (PV) as the Distributed Energy Resources (DERs) and a controlling method for managing the components of microgrid by using MATLAB/SIMULINK. The results show that microgrid system is promising as alternative to replace the fossil fuel based energy system. Integration of an effective controller can help to manage the loads and resources, resulting in more stable and reliable. 
Review of Software Fault-Tolerance Methods for Reliability Enhancement of Real-Time Software Systems
Authors: Verma Anjushi , Ghartaan Ankur , Gayen Tirthankar
Published: October 2019

Real time systems are those systems which must guarantee to response correctly within strict time constraint or within deadline. Failures can arise from both functional errors as well as timing bugs. Hence, it is necessary to provide temporal correctness of programs used in real time applications in addition to providing functional correctness. Although, there are several researches concerned with achieving fault tolerance in the presence of various functional and operational errors but many of them did not address the problem concerned with the timing bugs which is an important issue in real time systems. As for real time systems, many times it becomes a necessity for a given service to be delivered within the specified time deadline. Therefore, this paper reviews the existing approaches from the perspective of  real time systems to analyse the shortcomings of these approaches to  present a versatile and cost effective approach in the presence of timing bugs for providing fault tolerance to enhance the reliability of the real time software applications.
Exploration of Corpus Augmentation Approach for English-Hindi Bidirectional Statistical Machine Translation System
Authors: Jaya K. , Gupta Deepa
Published: October 2019

Even though lot of Statistical Machine Translation(SMT) research work is happening for English-Hindi language pair, there is no effort done to standardize the dataset. Each of the research work uses different dataset, different parameters and different number of sentences during various phases of translation resulting in varied translation output. So comparing  these models, understand the result of these models, to get insight into corpus behavior for these models, regenerating the result of these research work  becomes tedious. This necessitates the need for standardization of dataset and to identify the common parameter for the development of model.  The main contribution of this paper is to discuss an approach to standardize the dataset and to identify the best parameter which in combination gives best performance. It also investigates a novel corpus augmentation approach to improve the translation quality of English-Hindi bidirectional statistical machine translation system. This model works well for the scarce resource without incorporating the external parallel data corpus of the underlying language.  This experiment is carried out using Open Source phrase-based toolkit Moses. Indian Languages Corpora Initiative (ILCI) Hindi-English tourism corpus is used.  With limited dataset, considerable improvement is achieved using the corpus augmentation approach for the English-Hindi bidirectional SMT system.
Special features of radio interception of APCO P25 messages in Russia
Authors: Silnov Dmitry Sergeevich
Published: October 2019

Many special forces in Russia use APCO P25 encoding while radio talks. Using google speech or yandex speechkit while decoding radio talks can give huge advantage. Search engines can index decoded text or knowledge base can be created.
A Novel Cpw Low Cost Lowpass Filter Integrating Periodic Structures
Authors: Aytouna Fouad , Zbitou Jamal , Aghoutane Mohamed , Touhami Naima Amar , Tribak Abdelwahed , Latrach Mohamed
Published: October 2019

In this work, we propose a novel design of a planar CPW lowpass “LPF” filter based on the use of periodic structures. The periodic cells are formed from a rectangular slot repeated periodically. The originality of this work is to develop a new LPF structure which is simple, low cost for fabrication and easy to associate with others microwave planar circuits. The proposed and validated LPF is a compact planar filter structure. The final circuit is simulated and optimized by using two electromagnetic solvers, ADS (Advanced Design System) and HFSS (High Frequency Structural Simulator). After many series of optimization we have validated the final circuit into simulation by using optimization methods integrated into the both solvers, taking into account a high density of meshing in order to cover the whole circuit. The fabricated LPF circuit shows good agreement between simulation and measurement results in term of matching input impedance and insertion loss with a cutoff frequency of 1.25GHz. The entire area of the proposed LPF is 35x31 mm2.
DNA Bar-coding: A Novel Approach for Identifying an Individual Using Extended Levenshtein Distance Algorithm and STR analysis
Authors: C P Likhitha , P Ninitha , V Kanchana
Published: October 2019

DNA bar-coding is a technique that uses the short DNA nucleotide sequences from the standard genome of the species in order to find and group the species to which it belongs to. The species are identified by their DNA nucleotide sequences in the same way the items are recognized and billed in the supermarket using barcode scanner to scan the Universal Product Code of the items. Two items may look same to the untrained eye, but in both cases the barcodes are distinct. It was possible to create DNA-barcodes to characterize species by analysing DNA samples from fish, birds, mammals, plants, and invertebrates using Smith-waterman and Needleman-Wunsch algorithm. In this work we are creating human DNA barcode and implementing Extended Levenshtein distance algorithm along with STR analysis that uses less computation time compared to the previously used algorithms to measure the differential distance between the two DNA nucleotide sequences through which an individual can be identified.
Walsh Transform based Feature vector generation for Image Database Classification
Authors: Save Jagruti Ketan
Published: October 2019

Thousands of images are generated everyday, which implies the need to build an easy, faster, automated classifier to classify and organize these images. Classification means selecting an appropriate class for a given image from a set of pre-defined classes. The main objective of this work is to explore feature vector generation using Walsh transform for classification. In the first method, we applied Walsh transform on the columns of an image to generate feature vectors. In second method, Walsh wavelet matrix is used for feature vector generation. In third method we proposed to apply vector quantization (VQ) on feature vectors generated by earlier methods. It gives better accuracy, fast computation and less storage space as compared with the earlier methods. Nearest neighbor and nearest mean classification algorithms are used to classify input test image. Image database used for the experimentation contains 2000 images. All these methods generate large number of outputs for single test image by considering four similarity measures, six sizes of feature vector, two ways of classification, four VQ techniques, three sizes of codebook, and five combinations of wavelet transform matrix generation. We observed improvement in accuracy from 63.22% to 74% (55% training data) through the series of techniques.
Delay Comparison for 16x16 Vedic Multiplier Using RCA and CLA
Authors: Bhavani M. , Siva Kumar M. , Srinivas Rao K.
Published: October 2019

In any integrated chip compulsory adders are required because first they are fast and second are the less power consumption and delay. And at the same time multiplication process is also used in various applications. So as the speed of multiplier increases then the speed of processor also increases. And hence we are proposing the Vedic multiplier using these adders. Vedic multiplier is an ancient mathematics which uses mainly 16 sutras for its operation. In this project we are using “urdhva triyagbhyam” sutra to do our process. This paper proposes the Vedic multiplier using the adders ripple carry adder(RCA) and carry look ahead adder(CLA) and puts forward that CLA is better than RCA.The major parameters we are simulating here are number of slices and delay. The code is written by using Verilog and is implemented using Xilinx ISE Design Suite.
A Numerical Model of Joule Heating in Piezoresistive Pressure Sensors
Authors: Beddiaf Abdelaziz , Kerrour Fouad , Kemouche Salah
Published: October 2019

Thermal drift caused by Joule heating in piezoresistive pressure sensors affects greatly the results in the shift of the offset voltage of the such sensors. The study of the thermal behavior of these sensors is essential to define the parameters that cause the output characteristic drift. The impact of Joule heating in a pressure sensor has been studied. The study involves the solution of  heat transfer equation considering  the conduction in Cartesian coordinates for the transient regime using Finite Difference Method. We determine how the temperature affects the sensor during the applying a supply voltage. For this, the temperature rise generated by Joule heating in piezoresistors has been calculated for  different geometrical parameters of the sensor as well as for different operating time. It is observed that Joule heating leads to important rise temperature in the piezoresistor and, hence, causes drift in the output voltage variations in a  sensor during its operated in a prolonged time. This paper put emphasis on the geometric influence parameters on these characteristics to optimize the sensor performance. The optimization of geometric parameters of sensor allows us to reducing the internal heating effect. Results showed also that low bias voltage should be applied for reducing Joule heating.
Breakdowns' Diagnosis of A New Character Three-Phase High Voltage Power Supply for Industrial Microwave Generators with N=2 Magnetrons per Phase
Authors: Batit R. , Chraygane M. , Ferfra M. , Fadel M. , Dsoul A. , Bahani B.
Published: October 2019

This paper treats the modelisation of a new three phase character high voltage supply (HV) for industrial microwave generators with N=2 magnetrons per phase. This alimentation is based on the presentation of an equivalent p circuit model of a newly dimensioned high voltage transformer. Each phase of the three phase system supplies two parallel cell voltage doublers and current stabilizer. Each of these cells in turn supplies one magnetron 800Watts / 2.45GHz. This power supply is a star connection of three identical models of the single-phase power for N=2 magnetrons. The simulation under EMTP (Electro Magnetic Transients Program) in nominal conditions allows concluding that theoretical results are adjacent to the experimental measurements. Furthermore, a failure study of six magnetron of the microwave generator is also processed. The results permit to observe that the interaction between magnetrons dosn’t influence the nominal operation of the system.
Mitigating Electricity a Price Spike under Pre-Cooling Method
Authors: Marwan Marwan , Pirman Pirman
Published: October 2019

The growing demand for air-conditioning is one of the largest contributors to Australia overall electricity consumption. This has started to create peak load supply problems for some electricity utilities particularly in Queensland. This research aimed to develop a consumer demand side response model to assist electricity consumers to mitigate peak demand on the electrical network. The proposed model allows consumers to independently and proactively manage air conditioning peak electricity demand. The main contribution of this research is how to show consumers can mitigate peak demands by optimizing energy costs for air conditioning in a several cases such as no spike and spike considering to the probability spike cases may only occur in the middle of the day for half hour, one hour and one and half hour spikes. This model also investigates how air conditioning applied a pre-cooling method when there is a substantial risk of a price spike. The results indicate the potential of the scheme to achieve energy savings and reducing electricity bills (costs) to the consumer. The model was tested with the Queensland electricity market data from Australian Energy Market Operator and Brisbane temperature data from Bureau statistic during hot days.
Voltage Instability of Initiation Fault Duration as Influenced by Nodes Short Circuit Levels NSCL with Different Types of Loads
Authors: Mobarak Youssef Ahmed , Hussein Mahmoud M.
Published: October 2019

The occurrence of voltage instabilities or voltage collapses depend on the duration of the persistence of the fault and on the type of fault, some faults lead to voltage instabilities, others lead to voltage collapse. Evaluation of fault durations causing occurrence of voltage instabilities is the main goal of this paper. This paper searches for the effect of nodes short circuit levels NSCL and its duration periods initiation of voltage instability, with lagging and leading load power factors at certain loads buses. In this paper, the power system dynamic simulation program is developed for dynamic analysis of voltage stability. This paper is concerned with the fault duration which lead to the occurrence of voltage instability phenomena due to NSCL. The fault which lead to voltage instability is found to be short circuits at certain nodes cleared without any variation in the transmission system elements, i.e. the post-fault conditions will be the same as the pre-fault conditions. Models for loads considered in this study are induction motors with three different shaft mechanical loads, constant impedance CZ loads, constant current CI loads and constant power CP loads are used, as they depict the behavior of most power system loads. The influence of the transmission network impedances, which are nearly the inverse of the NSCL, on the fault duration which lead to the occurrence of voltage instabilities are studied and evaluated using various load representations.
Tip Speed Ratio Based MPPT Algorithm and Improved Field Oriented Control for Extracting Optimal Real power and Independent Reactive Power Control for Grid Connected Doubly Fed Induction Generator
Authors: Ananth D.V.N. , Kumar Gundavarapu Venkata Nagesh
Published: October 2019

Doubly Fed Induction Generator (DFIG) needs to get adopted to change in wind speeds with sudden change in reactive power or grid terminal voltage as it is required for maintaining synchronism and stability as per modern grid rules. This paper proposes a controller for DFIG converters and optimal tip speed ratio based maximum power point tracking (MPPT) for turbine to maintain equilibrium in rotor speed, generator torque, and stator and rotor voltages and also to meet desired reference real power during the turbulences like sudden change in reactive power or voltage with concurrently changing wind speed. The performance of DFIG is compared when there is change in wind speed only, changes in reactive power and variation in grid voltage along with variation in wind speed.
The Effects of Spread-Spectrum Techniques in Mitigating Conducted EMI to LED Luminance
Authors: Hariyawan Mohammad Yanuar , Hidayat Risanuri , Firmansyah Eka
Published: October 2019

Rapid voltage and current changes in recently ubiquitous LED driver have a potency to interfere other devices. Solutions with special converter design, component design, EMI filter, and spread-spectrum techniques have been proposed. Due to cost-size-weight constraints, spread-spectrum technique seems a potential candidate in alleviating EMI problem in LED application. In this paper, the effectiveness of conducted EMI suppression performance of the spread-spectrum technique is evaluated. Spread-spectrum techniques applied by giving disturbance to the system LED driver with 3 profile signals, filtered square, triangular, and sine disturbance signal to the switching pattern of a buck LED driver. From the test results, 472.5 kHz triangular and 525 kHz sine signal can reduce EMI about 42 dBuV while
the filtered square signal can reduce EMI 40.70 dBuV compare with fundamental constantfrequency reference 669 kHz. The average reduction in the power level of the third signal in
the frequency range of 199 kHz to 925 kHz for 5.154281 dBuV and the filtered square signal can reduce the average power level better than other signal disturbance of 5.852618 dBuV.
LED luminance decrease when the spread-spectrum technique is applied to the system about 2814 lux.
WhatsApp, Viber and Telegram which is Best for Instant Messaging?
Authors: Sutikno Tole , Handayani Lina , Stiawan Deris , Riyadi Munawar Agus , Much Ibnu Subroto Imam
Published: October 2019

There are many free instant messengers available now which allow to communicate with friends with text, phone call, video, sharing of files, in group or not and keep contact with them even internationally. But only very few of the instant messengers have gained a popularity and attention. Recent studies have shown that the most popular instant messengers are WhatsApp, Viber and Telegram. Even, Facebook acquired WhatsApp due to have huge users. Viber is another messenger with many integrated features that allows the phone calls and sends the text messages for free and there is no subscription like WhatsApp. While Telegram offers the users an open-source platform with no ads, a clean fast interface, asks for no payments whatsoever and the biggest selling point is security. WhatsApp, Viber and Telegram which instant messenger is best? The popularity of Telegram has reached at the top of Google play store and become the most downloaded messaging app in the world today. But at the moment WhatsApp is still the winner!
URL ATTACKS: Classification of URLs via Analysis and Learning
Authors: Rajesh M. , Abhilash R. , Praveen Kumar R.
Published: October 2019

Social Networks such as Twitter, Facebook play a remarkable growth in recent years. The ratio of tweets or messages in the form of URLs increases day by day. As the number of URL increases, the probability of fabrication also gets increased using their HTML content as well as by the usage of tiny URLs. It is important to classify the URLs by means of some modern techniques. Conditional redirection method is used here by which the URLs get classified and also the target page that the user needs is achieved. Learning methods also introduced to differentiate the URLs and there by the fabrication is not possible. Also the classifiers will efficiently detect the suspicious URLs using link analysis algorithm.
Comparison of Voltage-Vector Control based on Duty Cycle Analysis in Three-Phase Four-Leg System Active Filter
Authors: Yuniantoro Indriarto , Setiabudy Rudy , Gunawan Ridwan
Published: October 2019

Comparison of voltage vector control in various forms of tetrahedron that result from switching combination on three-phase four-leg system active filter is presented especially asymmetric tetrahedron shape which is a projection pqr-coordinate into αβ0-coordinate. Parameter tetrahedrons such as modulation boundary-line, reference vector, switching duration time and duty cycle are described. Duty cycle analysis conducted on the Shen’s model, the Zhang’s model, the Perales’s model and asymmetric’s model are presented. The characteristics results showed that switching combination of each IGBT conductor especially its reviews on the neutral wire. Asymmetric tetrahedron can be proposed as control technique in three-phase four-leg system active filter.
FPGA Based Control Method for Three Phase BLDC Motor
Authors: Suneeta Suneeta , Srinivasan R , Sagar Ram
Published: October 2019

This paper introduces a good method which is helpful to assist in the design and control of cost effective, efficient Brushless Direct Current (BLDC) motors. Speed Control of BLDC motor using PIC microcontrollers requires more hardware, and with the availability of FPGA versatile features motivated to develop a cost effective and reliable control with variable speed range. In this paper, an algorithm which uses the Resolver signals captured from the motor is developed with the help of Resolver to Digital converters. The program has been written using VHDL. This program generates the firing pulses required to drive the MOSFETs of three phase fully controlled bridge converter driven by drivers. Then the program has been loaded on the Spartan- 3 FPGA device and tested on the 30V, 2000 rpm BLDC motor which can make the motor run at constant speed ranging from 10 to 2000 rpm. The proposed hardware and the program are found to be very good and efficient. The results are good compare to PIC Microcontroller based design.
Comparative Study on the AC Brekadown Voltage of Palm Fatty Acid Ester Insulation Oils Mixed With Iron Oxide Nanoparticles
Authors: Mohamad Mohd Safwan , Zainuddin Hidayat , Ab Ghani Sharin , Chairul Imran Sutan
Published: October 2019

Mineral oils are are derived from petroleum which is a non-renewable and non-sustainable source, and therefore there is a critical need to develop alternative insulation oils for use in transformers.  Ester oils offer a number of benefits over mineral oils such as good biodegradability, high cooling stability, good oxidation stability and excellent insulation performance. Nowadays, nanotechnology has become one of the most important research fields in both the academia and industry and it has been shown in previous studies that nanoscale materials are beneficial for transformers. In this regard, the objective of this study is to compare the AC breakdown voltage of palm fatty acid ester (PFAE) oils mixed with iron oxide (Fe3O4) nanoparticles. The PFAE-based nanofluids are prepared using two methods: (1) Method I (weight-based method whereby the concentration of the Fe3O4 nanoparticles is 0.01 g/l) and (2) Method II (volume-fraction method whereby the concentration of the Fe3O4 nanoparticles is 0.01, 0.02 and 0.03%). The AC breakdown voltage test is conducted on the PFAE-based nanofluids in accordance with the ASTM D1816 standard test method. Weibull statistical analysis is carried out to analyse the AC breakdown voltage of fresh PFAE oil and PFAE-based nanofluids. It is found that there is enhancement of the AC breakdown voltage for all PFAE-based nanofluids with the exception of with the exception of one sample prepared using Method II (0.01% Fe3O4 nanoparticles).
Performance Analysis of Preemptive Based Uniprocessor Scheduling
Authors: Shanmugasundaram M , Kumar R , M Kittur Harish
Published: October 2019

All the real-time systems are bound with response time constraints, or else, there is a risk of  severe consequences, which includes failure. The System will fail when not able to meet the requirements according to the specifications. The problem of real-time scheduling is very vast, ranging from uni-processor to complicated-multiprocessor. In this paper, we have compared the performance of real-time tasks that should be scheduled properly, to get optimum performance. Analysis methodology and the concept of optimization leads to the design of appropriate scheduling. We have done  the analysis among RM and EDF algorithm that are important for scheduling in uni-processor.
MOCCCDTA-based Current Mode Tunable Universal Biquad Filter for Bluetooth Applications
Authors: Sharma Jyoti , Chakraborty Shantanu
Published: October 2019

In the last decade, there has been much effort to reduce the supply voltage of electronic circuits due to the demand for portable and battery-powered equipment. Since a low-voltage operating circuit becomes necessary, the current-mode technique is ideally suited for this purpose more than the voltage-mode one. In this paper, performance of multi output current controlled current differencing transconductance amplifier (MOCCCDTA) is evaluated using 180nm, 90nm and 45nm CMOS technology. It is found that the 45nm CMOS-based
MOCCCDTA provides highest frequency i.e. 33GHz. Further a Universal biquad filter has been designed using a single MOCCCDTA as an active element and two capacitors. Filter offers high frequency in GHz. Tunability of all the filter outputs with respect to a bias current has been analyzed. The tunability of the filter circuit for Bluetooth applications is also shown in this work. The performances of MOCCCDTA circuit and Universal biquad filter are illustrated by HSPICE. The simulation results are found to be in agreement with the theoretical predictions.
Design and Fabrication of Rectifying Antenna Circuit for Wireless Power Transmission System Operating At ISM Band
Authors: Doan Chuc Huu , Bach Duong Gia
Published: October 2019

This paper introduces an overview of a rectifying antenna (rectenna) circuit topology for microwave power transmission system. Specially, a rectenna based on a microstrip patch antenna and a microwave double voltage rectifier at 2.45GHz were designed and fabricated.  The antenna’s return loss is achieved of -15 dB at 2.45GHz. The microwave to DC conversion efficiency of the rectenna was measured as 71.5% with 22 dBm input power and 810 Ohm load. The design  and simulated results  were  carried out  by  the  microwave engineering professional  design software,  known as ADS2009 package. All design and simulation results will be reported.
A Criterion on Existence and Uniqueness of Behavior in Electric Circuit
Authors: Hirata Takuya , Setiawan Eko , Yamaguchi Kazuya , Hodaka Ichijo
Published: October 2019

Behavior of electric circuits can be observed by solving circuit equations symbolically as well as numerically. In general, symbolic computation for circuits with certain number of circuit elements needs much more time than numerical computation. It is reasonable to check the existence and uniqueness of the solution to circuit equations beforehand in order to avoid computation for the case of no solution. Indeed, some circuits have no solution; in that case, one should notice it and avoid to wait meaningless computation. This paper proposes a new theorem to check whether given circuit equations have a solution and their voltages and currents of all circuit elements are uniquely determined or not. The theorem is suitable for developing a computer algorithm and helps quick symbolic computation for electric circuits.
How Reliable is the Cuprates System to Recent Technology?
Authors: M.E. Emetere , O.B. Awojoyogbe , U.E. Uno , K.U. Isah , E.S. Sanni , M.L. Akinyemi
Published: October 2019

The emergence of cuprates as a high Tc superconductor gave high hopes in the discovery of a room temperature superconductor. It is almost three decades and the highest critical temperature attained on the cuprates is about 135K. A brief overview was conducted on the progress made so far on the cuprates. A mathematical approach was used to design a formula which could determine the experimental results of critical temperature of versed cuprates superconductors. The result of our findings shows that the possibility of attaining the experimental room temperature cuprates superconductor seems very narrow. The study recommended an elaborate approach on the hybridization of cuprates for future research. Hence, there is possibility of having cuprates with wide engineering application.
Analysis of the range of acceleration for an accelerometer with extended beams
Authors: Cabello Ramon , Tecpoyotl Margarita , Vera Jose Gerardo , Torres Alfonso , Vargas Pedro , Koshevaya Svetlana
Published: October 2019

The elastic behaviour of a system can be determined by an analysis of stresses. The stress generated in the element loaded of an accelerometer is of interest here. In these devices, the suspension beams are the elements subjected to greater stresses, as they support the mass. The stress that they can support is limited by the elastic limit of the material. Based on this analysis, the operating conditions to prevent permanent deformations are determined. The analysis is focused on the acceleration applied to the accelerometer because this parameter increases considerably the stresses in the device. A relationship between normal stress and gravity applied is obtained. This equation is used in order to avoid exceeding the elastic limit, during the accelerometer operation. This fact determines the acceleration range supported by the device. In the literature, studies about the physics and modelling of accelerometers are performed. However, about the specific acceleration of operation which they are subjected, information about its determination is not provided. In this paper, the analysis is realized considering a Conventional Capacitive Accelerometer (CCA) and a Capacitive Accelerometer with Extended Beams (CAEB), particularly, on the normal stress. When a range of acceleration values are applied, normal stress occur which must not exceed the elastic limit of the material, as it was mentioned before. The Matlab code used to calculate this relationship is given in Appendix A.
Unusual Event Detection using Mean Feature Point Matching Algorithm
Authors: Hegde Chitra , Chundawat Shakti Singh , S N Divya
Published: October 2019

Analysis and detection of unusual events in public and private surveillance system is a complex task. Detecting unusual events in surveillance video requires the appropriate definition of similarity between events. The key goal of the proposed system is to detect behaviours or actions that can be considered as anomalies. Since suspicious events differ from domain to domain, it remains a challenge to detect those events in major domains such as airport, super malls, educational institutions etc. The proposed Mean Feature Point Matching (MFPM) algorithm is used for detecting unusual events. The Speeded-Up Robust Features (SURF) method is used for feature extraction. The MFPM algorithm compares the feature points of the input image with the mean feature points of trained dataset. The experimental result shows that the proposed system is efficient and accurate for wide variety of surveillance videos.
A Zone Based Approach for Classification and Recognition Of Telugu Handwritten Characters
Authors: Rani N. Shobha , Verma Sanjay Kumar , Joseph Anitta
Published: October 2019

Realization of high accuracies and efficiencies in South Indian character recognition systems is one of the principle goals to be attempted time after time so as to promote the usage of optical character recognition (OCR) for South Indian languages like Telugu. The process of character recognition comprises pre-processing, segmentation, feature extraction, classification and recognition. The feature extraction stage is meant for uniquely recognizing each character image for the purpose of classifying it. The selection of a feature extraction algorithm is very critical and important for any image processing application and mostly of the times it is directly proportional to the type of the image objects that we have to identify. For optical technologies like South Indian OCR, the feature extraction technique plays a very vital role in accuracy of recognition due to the huge character sets. In this work we mainly focus on evaluating the performance of various feature extraction techniques with respect to Telugu character recognition systems and analyze its efficiencies and accuracies in recognition of Telugu character set.
New Decimation-In-Time Fast Hartley Transform Algorithm
Authors: Hamood Mounir Taha
Published: October 2019

This paper presents a new algorithm for fast calculation of the discrete Hartley transform (DHT) based on decimation-in-time (DIT) approach. The proposed radix-2^2 fast Hartley transform (FHT) DIT algorithm has a regular butterfly structure that provides flexibility of different powers-of-two transform lengths, substantially reducing the arithmetic complexity with simple bit reversing for ordering the output sequence. The algorithm is developed through the three-dimensional linear index map and by integrating two stages of the signal flow graph together into a single butterfly. The algorithm is implemented and its computational complexity has been analysed and compared with the existing FHT algorithms, showing that it is significantly reduce the structural complexity with a better indexing scheme that is suitable for efficient implementation.
Application of a controlled outside cold airflow by a PID controller to improve the performance of a household refrigerator
Authors: Aridhi Emna , Abbes Mehdi , Mami Abdelkader
Published: October 2019

The present paper aims to prove the efficiency of using the cold to improve the performance of a household refrigerator. It is produced naturally in countries that are characterized by a severe wintry climate. The cold airflow is spread out inside a cavity covering the side wall of the appliance, which is connected to the inlet and outlet ducts. For that purpose, a Simulink model is proposed to model this installation. The internal air temperature is computed according to the evaporator temperature and the outside cold airflow that is also computed according to the outside temperature and controlled by a PID controller. The simulation results show that when the internal air temperature is higher than the desired one and the outside temperature is low enough, the controlled cold airflow used as a second cooling source allowed to speed-up the cooling inside the refrigerator compartment of about 36.21% and to reach an energy saving of about 36.23% compared with the classical thermostatic control.
Model Driven PID Controller in Water Heater System
Authors: Hondianto Tommy , Susanto Erwin , Wibowo Agung Surya
Published: October 2019

PID controller has been widely used as one of the basic property controllers in industry. However, tuning PID parameters is not simple and also has a few problems in handling slow response systems, such as boiler. Therefore, the Model Driven PID (MD PID) control is designed for solving these problems, especially for plants or processes with slow response. The MD PID is using the model of the plant itself as the basic model of the controller. In this research, we will show the performance of water heater system step response with MD PID controller compared to the conventional PID controller (PI controller). The MD PID closed-loop system is expected to give fast response, stable, and no overshoot.