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27,404 Article Results

Attacks of Denial-of-Service on Networks Layer of OSI Model and Maintaining of Security

10.11591/ijeecs.v5.i1.pp181-186
Azeem Mohammed Abdul , Syed Umar
The emergence of wireless sensor networks as one of the technology trends in the coming years, and some special tests of safety. The event will be thousands of tiny sensors that cheap devices, memory, radio and make, in most cases, no access to the production and energy. Some great challenges of sensor networks are different; we focus on security in the form of wireless sensor networks. To some network wireless sensor network in order to optimize use of the sensor, so that the network can be as long as possible. But the management of the important mission of the sensor network, denial of service (DoS) attacks against the destruction of the efficient use of network resources and the vital functions of the network. DoS attacks can be one of the greatest threats to security threats be considered. In fact, there are many different layers of the OSI-DOS.
Volume: 5
Issue: 1
Page: 181-186
Publish at: 2017-01-01

A Neuro-Fuzzy Controller for Compensation of Voltage Disturbance in SMIB System

10.11591/ijeecs.v5.i1.pp72-80
Budi Srinivasarao , G. Sreenivasan , Swathi Sharma
Since last decade, due to advancement in technology and increasing in the electrical loads and also due to complexity of the devices the quality of power distribution is decreases. A Power quality issue is nothing but distortions in current, voltage and frequency that affect the end user equipment or disoperation; these are main problems of power quality so compensation for these problems by DPFC is presented in this paper. The control circuits for DPFC are designed by using line currents, series reference voltages and these are controlled by conventional Neuro-Fuzzy controllers. The results are observed by MATLAB/SIMULINK model.
Volume: 5
Issue: 1
Page: 72-80
Publish at: 2017-01-01

Parallelizing Multi-featured Content Based Search and Retrieval of Videos through High Performance Computing

10.11591/ijeecs.v5.i1.pp214-219
Azra Nasreen , Shobha G
Video Retrieval is an important technology that helps to design video search engines and allow users to browse and retrieve videos of interest from huge databases. Though, there are many existing techniques to search and retrieve videos based on spatial and temporal features but are unable to perform well resulting in high ranking of irrelevant videos leading to poor user satisfaction. In this paper an efficient multi-featured method for matching and extraction is proposed in parallel paradigm to retrieve videos accurately and quickly from the collection. Proposed system is tested on datasets that contains various categories of videos of varying length such as traffic, sports, nature etc. Experimental results show that around 80% of accuracy is achieved in searching and retrieving video. Through the use of high performance computing, the parallel execution performs 5 times faster in locating and retrieving videos of intrest than the sequential execution.
Volume: 5
Issue: 1
Page: 214-219
Publish at: 2017-01-01

Expert System of Quail Disease Diagnosis using Forward Chaining Method

10.11591/ijeecs.v5.i1.pp206-213
B. Herawan Hayadi , Kasman Rukun , Rizky Ema Wulansari , Tutut Herawan , Dahliyusmanto Dahliyusmanto , David Setaiwan , Safril Safril
Expert system applications were in great demand in various circles since 1950, with a coverage area that was large. Expert System on the organization was aimed at adding value, increasing productivity as well as the area of managerial can make decisions quickly and accurately. Neither with organizations that did business quail, which was very promising, but needed to be alert for the presence of disease in quail healthy, as in the case in birds quail were highly vulnerable to various kinds of diseases caused by viruses or bacteria. the benefits of the expert system that was able to diagnose quickly and accurately to the symptoms of the disease caused was expected to helped the farmers in of anticipation the many losses caused by disease. Required accuracy and the accuracy of the counting in diagnosing the symptoms of the disease in order to summarized the results by using forward chaining method.
Volume: 5
Issue: 1
Page: 206-213
Publish at: 2017-01-01

Fire Tracking and Suppression Mobile Robot - Design and Construction

10.11591/ijeecs.v5.i1.pp159-165
Abdülkadir ÇAKIR , Aqeel bahaa BADRI
Robots is one of the most important devices in the world that work automatically without human intervention. Robot can work for long hours without feeling tired and can be performed work that can be dangerous to human life. Autonomous robots are used today in many areas in our daily lives, for example, industry, Agriculture, Health, Education, scientific explorations and many other fields. Therefore in this research we will going to design autonomous robot that able to find and extinguish fires. In some cases, the dense flames very dangerous to humans live and therefore require intervention of robot. Fire tracking and suppression robot is a robot can automatically find and fighting fire. In this project a camera and flame sensor based on an rotary base was used. It can detect fire in an angle of rotation of 1600. ATmega328 microcontroller based on Arduino Uno board have been used,  to control the robot to do the right work without mistakes, ATmega328 based on Arduini Uno board have been used, and it can be programmed using C language by using arduino IDE.
Volume: 5
Issue: 1
Page: 159-165
Publish at: 2017-01-01

Non-convex Economic Load Dispatch using Cuckoo Search Algorithm

10.11591/ijeecs.v5.i1.pp48-57
N. Karthik , A.K. Parvathy , R. Arul
This paper presents cuckoo search algorithm (CSA) for solving non-convex economic load dispatch (ELD) problems of fossil fuel fired generators considering transmission losses and valve point loading effect. CSA is a new meta-heuristic optimisation technique inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species. The strength of the proposed meta-heuristic optimization technique CSA has been tested and validated on the standard IEEE 14-bus, 26-bus and 30-bus system with several heuristic load patterns. The results have indicated that the proposed approach is able to obtain significant economic load dispatch solutions than those of Firefly Algorithm (FFA) and other soft computing techniques reported in the literature.
Volume: 5
Issue: 1
Page: 48-57
Publish at: 2017-01-01

Packet Delay Distribution Model for Investigating Delay of Network Speech Recognition

10.11591/ijeecs.v5.i1.pp11-18
Asril Jarin , Suryadi Suryadi , Kalamullah Ramli
Unlike multimedia streaming applications that require a smooth playback at the client, application of network speech recognition (NSR) that recognizes speech signal in a sentence-by-sentence manner might tolerate an acceptable delay. The acceptable delay is a user-defined time in which the entire sentence data should be received by the server. We proposed a calculation method to investigate the acceptable delay of network speech recognition that employs a speech segmenter to send speech signal sentence-by-sentence over TCP channel to the server. The calculation multiplies the mean packet delay of TCP flow at steady-state with the number of created packets. For validation we implemented a MATLAB program and solved it using 2500 Indonesian speech sentences. The results were then compared with the results of our previous model that used a transient analysis method. It was found that this calculation method is not appropriate due to the transient behavior of the streaming sentences.
Volume: 5
Issue: 1
Page: 11-18
Publish at: 2017-01-01

Optical Properties of Cadmium Oxide (CdO) Thin Films

10.11591/ijeecs.v5.i1.pp81-84
Hadaate Ullah , Ridoanur Rahaman , Shahin Mahmud
Cadmium (Cd) is a soft, silver-white or blue lustrous metal typically found in mineral deposits with lead, zinc and copper. Cadmium Oxide thin films have been prepared on a glass substrate at 3500C temperature by implementing the Spray Pyrolysis method. The direct and indirect band gap energies are determined using spectral data. The direct and indirect band gap energies decrease with the increasing film thickness. It is noted that for the same film thickness the direct band gap energy is greater than indirect band gap energy. The transmittance increases with the increasing wavelength for annealed and deposited films. It is also noted that for the same wavelength the transmittance for deposited films is greater than the transmittance for annealed films.
Volume: 5
Issue: 1
Page: 81-84
Publish at: 2017-01-01

Investigating Thermal Effect on a Cross Linked Polyethylene Power Cable

10.11591/ijeecs.v5.i1.pp33-40
Emna Khouildi , Rabah Attia , Rafik Cherni
One of the agents responsible of the degradation of power cables in electrical distribution network is the temperature. In this paper, numerical modelling of temperature effect on the cross linked polyethylene (XLPE) insulation of a medium voltage cable containing internal defects, which are air void cavity and water tree cavities, is developed by using the finite element method and simulated by COMSOL Multiphysics Software. The experimental investigation is conducted through studying parial discharge inception voltages in XLPE insulation before and after 23 heating cycles of a 7 meters sample of a medium voltage cable at 100°C and 120°C temperatures. Partial discharge inception voltages detection were performed using the IEC60270 test method. The simulation results and experimental measurements assessed the thermal effect on the degradation of XLPE insulation.
Volume: 5
Issue: 1
Page: 33-40
Publish at: 2017-01-01

Physicians’ and Users’ Perceptions towards Wearable Health Devices

10.11591/ijeecs.v5.i1.pp234-242
Narassima M Seshadri , Anbuudayasankar S P , Shriram Kris Vasudevan , Abhinavaram J
Healthcare plays a vital role in economic development of a country, and has a major impact on the entire wellness of humankind. One of the biggest issues of all times, Blood Pressure is prevailing in patients of all countries.  In developing countries like India, it is prevalent among people of diverse age groups, which somehow permeates into their wellness, reflecting and slowing down the growth of the country as well as that of an individual. As Blood Pressure is identified as one of the major contributors to Cardio Vascular Diseases, there is an urge to educate people about the consequences. The research focuses on various factors and their levels of impact on acceptance of Mobile Health Management Services. Appropriate tests have been carried out for validating this hypothesis. All the details are presented in the results’ section with clear discussion and description.
Volume: 5
Issue: 1
Page: 234-242
Publish at: 2017-01-01

Ontology Matching using BabelNet Dictionary and Word Sense Disambiguation Algorithms

10.11591/ijeecs.v5.i1.pp196-205
Mohamed Biniz , Rachid el Ayachi , Mohamed Fakir
Ontology matching is a discipline that means two things: first, the process of discovering correspondences between two different ontologies, and second is the result of this process, that is to say the expression of correspondences. This discipline is a crucial task to solve problems merging and evolving of heterogeneous ontologies in applications of the Semantic Web. This domain imposes several challenges, among them, the selection of appropriate similarity measures to discover the correspondences. In this article, we are interested to study algorithms that calculate the semantic similarity by using Adapted Lesk algorithm, Wu & Palmer Algorithm, Resnik Algorithm, Leacock and Chodorow Algorithm, and similarity flooding between two ontologies and BabelNet as reference ontology, we implement them, and compared experimentally. Overall, the most effective methods are Wu & Palmer and Adapted Lesk, which is widely used for Word Sense Disambiguation (WSD) in the field of Automatic Natural Language Processing (NLP).
Volume: 5
Issue: 1
Page: 196-205
Publish at: 2017-01-01

Efficient Phase Recovery System

10.11591/ijeecs.v5.i1.pp123-129
Mohamed Saber
An efficient, stable and reliable system to detect the unknown phase of the input sinusoidal signal is presented. The proposed design is a feedback loop consists of subtractor, peak detector and direct digital synthesizer (DDS). DDS generates a sinusoidal signal with the same frequency of input signal and with initial zero phase. An error signal is the output of subtracor after subtracting DDS signal from input signal. The peak of amplitude of error signal has a mathematical relation to the phase difference between the two input signals. Peak detector is used to extract the phase difference from error signal and passes the result to DDS to control the generated phase. The loop continues until the generated phase of DDS is the same as the input unknown phase. The proposed phase estimator has been implemented using a field programmable gate array (FPGA), consumed less power about 330 mW, and worked at 200 MHz clock.
Volume: 5
Issue: 1
Page: 123-129
Publish at: 2017-01-01

Electrical Conductivity of Polyaniline Fiber Synthesized by Interfacial Polymerization and Electrospinning

10.11591/ijeecs.v5.i1.pp85-89
Ngurah Ayu Ketut Umiati , Kamsul Abraha , Kuwat Triyana
Polyaniline fiber is a promising biosensor material due to the capability of this material as an effective mediator for electron transfer. The polyaniline in fibre has wider surface to increase the electron transfer. In this work, polyaniline structure synthesized by interfacial polymerization was compared to polyaniline structure obtained from electrospinning to get a better fibre structure. Interfacial polymerization was carried out to form a polymerization between the water phase and the organic phase. The water phase was prepared from dopants, initiator and aquadestilata and the organic phase was was made from toluene as an organic solvent and aniline monomer. Electrospinning was conducted by using a dc high voltage 15 kV and 0.5 mm syringe needle to produce fibers from a melt polymer solution taken from interfacial polymerization. The scanning electro microscope results confimed the formation of polyaniline in structure of fiber. Resistance measurement by using LCR meter showed that polyaniline fiber resulted from electrospinning is more conductive than polyaniline fiber formed by interfacial polymerization method.  
Volume: 5
Issue: 1
Page: 85-89
Publish at: 2017-01-01

An Embedded Iris Image Acquisition Research

10.11591/ijeecs.v5.i1.pp90-98
Dangui Chen , Guojun Qin
In view of the limitation of traditional identification, it is easy to lose and copy keys, cards or ID cards, and it is easy to forget the password. Here, an embedded application system was designed based on the iris identification technology, the functions of gathering, inputing, and registering the iris information and identification can be realized. The system architecture was designed by using the embedded microprocessor of advanced RISC machines (ARM), which is used as the core. The iris sensor was used to gather the iris information, and the development of software was accomplished with the embedded OS Windows CE. The system can be used on the company entrance guard system, customs security of airport and criminal identification.
Volume: 5
Issue: 1
Page: 90-98
Publish at: 2017-01-01

Speech Processing for Text Independent Amharic Language Dialect Recognition

10.11591/ijeecs.v5.i1.pp115-122
Abrham Debasu Mengistu , Dagnachew Melesew Alemayehu
Dialect is a difference of verbal communication spoken by people from a particular society or geographic area so the paper focuses on Amharic language dialect recognition. In this paper,  the authors have used backpropagation artificial neural network, VQ(vector quantization), (Gaussian Mixture Models) and a combination of GMM and backpropagation artificial neural network for classifying dialects of Amharic language speakers. In this research, a total of 100 speakers for each group of dialects are considered each having about 10 seconds duration is collected. The feature vectors of Mel frequency cepstral coefficients (MFCC) had been used to recognize the dialects of speakers. In this research paper the recognition model that uses a tanh activation function have a better result instead of using the Logistic Sigmoid activation function in backpropagation artificial neural network. After conducting the above experiments 95.7% accuracy achieved when GMM and backpropagation artificial neural network with tanh activation function are combined.
Volume: 5
Issue: 1
Page: 115-122
Publish at: 2017-01-01
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