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29,393 Article Results

Review of under Frequency Load Shedding Program of Kosovo Power System based on ENTSO-E Requirements

10.11591/ijece.v8i2.pp741-748
Gazmend Kabashi , Skender Kabashi
Under-frequency load shedding (UFLS) is designed to protect the power system when the frequency drops below given thresholds by switching off certain amounts of the load aiming thus to balance generation and load. This paper presents a review of the existing UFLS (Under Frequency Load Shedding) program in compliance with recently revised Police-5 of Operational Handbook of ENTSO-e. The proposed review of the current UFLS program for Kosovo Power System has considered the main standards requirements and guidelines for UFLS set by ENTSO-E. This work examine system performance by conducting dynamic simulations of UFLS schemes subject to different imbalances between load and generation, and includes three power system island mode scenarios with different equivalent inertia of the system, respectively different size of the systems. With aim to define the best program of UFLS, which fits to the Kosovo Power System frequency behavior, two different UFLS programs are analyzed and results are compared. The proposed program is tested using a large scale PSS/E model which represents interconnected power system area of Southeast Europe.
Volume: 8
Issue: 2
Page: 741-748
Publish at: 2018-04-01

Soil Characterization and Classification: A Hybrid Approach of Computer Vision and Sensor Network

10.11591/ijece.v8i2.pp989-995
Abrham Debasu Mengistu , Dagnachew Melesew Alemayehu
This paper presents soil characterization and classification using computer vision & sensor network approach. Gravity Analog Soil Moisture Sensor with arduino-uno and image processing is considered for classification and characterization of soils. For the data sets, Amhara regions and Addis Ababa city of Ethiopia are considered for this study. In this research paper the total of 6 group of soil and each having 90 images are used. That is, form these 540 images were captured. Once the dataset is collected, pre-processing and noise filtering steps are performed to achieve the goal of the study through MATLAB, 2013. Classification and characterization is performed through BPNN (Back-propagation neural network), the neural network consists of 7 inputs feature vectors and 6 neurons in its output layer to classify soils. 89.7% accuracy is achieved when back-propagation neural network (BPNN) is used.
Volume: 8
Issue: 2
Page: 989-995
Publish at: 2018-04-01

Phase Measurement Units based FACT’s Devices for the Improvement of Power Systems Networks Controllability

10.11591/ijece.v8i2.pp888-899
Husham Idan Hussein , Ghassan Abdullah Salman , Mohammed Saadi Hasan
This paper describes the importance of FACTS devices; it presents the outcome of the study of its reflectance on the performance of power system networks. It seeks to increase and guarantee the fact and accuracy of response systems under disturbance conditions when the phase measurement units are introduced as Real-Time Measurement (RTM) stations. This paper also describes the importance of FACTS devices. The combination of FACTS devices and PMUs is presented to increase the controllability performance of power systems. This paper demonstrates how PMUs measure voltage, current and their angles. It provides, through a communication link, a Phase Angle Data Concentrator (PDC) to make an appropriate decision to correct the power system state using the FACTS device (TCSC). We utilized the Graph-Theoretic Algorithm to optimize the number and location of PMUs. The technique proposed was tested on the Iraqi National Super Grid’s 24bus network, Diyala City’s regional 10bus network and the 14bus IEEE standard test system. The MATLAB/PSAT package was utilized for the simulation of results. It is evident that our proposed algorithm and technique achieved the purpose of this paper as confirmed by the level of accuracy of the results obtained from most of the cases tested.
Volume: 8
Issue: 2
Page: 888-899
Publish at: 2018-04-01

Study of Different Parametric Variations of MOSFET Pressure Sensor

10.11591/ijeecs.v10.i1.pp19-26
Shruti Bhargava , Spv Subbarao
There is a growing demand of miniaturization of the electronics world. A brief discussion for simulating and fabrication of the MOSFET based pressure sensor in nanoscale is being reviewed in this paper. Aim of this paper is to collect all the scaling challenges and their solutions together to make understanding the facts of the MOSFET based sensor. As the MOSFET move from micro scale to nanoscale the functioning changes dramatically. The Silicon oxide material fails when scale down to nano region. However, many issues such as electrical quality , thermodynamic stability, Kinetic stability, gate compatibility and process compatibility were being solved in the process of integration and implementation.
Volume: 10
Issue: 1
Page: 19-26
Publish at: 2018-04-01

Comparative Analysis of Power Quality Indices for Different Lighting Techniogies in Public Lightning

10.11591/ijece.v8i2.pp880-887
Jurica Perko , Srete Nikolovski , Ljubomir Majdandžić
As with any other product, having electricity of a certain quality is very important for consumers. Its quality has become the key feature that can be disturbed by loads based on power electronic devices. Electricity producers are striving to provide reliable and quality electricity supply to consumers. Public lighting systems that are based on LED lighting technology can potentially positively or negatively affect the power quality because they contain power electronics components in LED drivers. Because of that, two 7-day measurements were conducted on the same public lighting branch but with different lighting technologies (high pressure sodium, known as HPS and LED technology). Results of the measurements were analysed and compared. By analysing the results, other problems were also identified by using LED lighting technology. These problems are addressed in the conclusion of the paper.
Volume: 8
Issue: 2
Page: 880-887
Publish at: 2018-04-01

Development of Detection and Flood Monitoring via Blynk Apps

10.11591/ijeecs.v10.i1.pp361-370
Mahanijah Md Kamal , Nur Anum Zuraimi Md Noar , Aqil Muhammad Sabri
Flash flood is a common disaster event occured at Jalan Ilmu 1/1, Universiti Teknologi MARA Shah Alam Campus when there is a heavily raindrops. This paper describes the development of prototype used for detection and monitoring purposes. Flash floods can lead to destruction of properties and infrastructures.This system is based on two NodeMCU based technology integrated using Blynk application (IOS or android). The wireless sensor network systems can help the citizens by detecting the water levels and give an early warning when a flood occurs faster and easy. Basically, there are two part of the system which are the sensor node and the base station. The sensor node detects the water level using an ultrasonic sensor and display the current water level.The first NodeMCU is placed at the identified flood area, whilst the second NodeMCU acts as the control unit. Data detected from the ultrasonic sensorsare sent to the Blynk application via wireless connection.Two test have been conducted to test the effectiveness of the propose system. It can be found that this prototype able to detect, monitor and give alarm to the affected area if the flash flood happens in the future.
Volume: 10
Issue: 1
Page: 361-370
Publish at: 2018-04-01

An Optimum Approach for Preprocessing of Web User Query

10.11591/ijict.v7i1.pp8-12
Sunny Sharma , Sunita Sunita , Arjun Kumar , Vijay Rana
The emergence of the Web technology generated a massive amount of raw data by enabling Internet users to post their opinions, comments, and reviews on the web. To extract useful information from this raw data can be a very challenging task. Search engines play a critical role in these circumstances. User queries are becoming main issues for the search engines. Therefore a preprocessing operation is essential. In this paper, we present a framework for natural language preprocessing for efficient data retrieval and some of the required processing for effective retrieval such as elongated word handling, stop word removal, stemming, etc. This manuscript starts by building a manually annotated dataset and then takes the reader through the detailed steps of process. Experiments are conducted for special stages of this process to examine the accuracy of the system.
Volume: 7
Issue: 1
Page: 8-12
Publish at: 2018-04-01

Bat-Cluster: A Bat Algorithm-based Automated Graph Clustering Approach

10.11591/ijece.v8i2.pp1122-1130
Zakaria Boulouard , Amine El Haddadi , Fadwa Bouhafer , Anass El Haddadi , Lahcen Koutti , Bernard Dousset
Defining the correct number of clusters is one of the most fundamental tasks in graph clustering. When it comes to large graphs, this task becomes more challenging because of the lack of prior information. This paper presents an approach to solve this problem based on the Bat Algorithm, one of the most promising swarm intelligence based algorithms. We chose to call our solution, “Bat-Cluster (BC).” This approach allows an automation of graph clustering based on a balance between global and local search processes. The simulation of four benchmark graphs of different sizes shows that our proposed algorithm is efficient and can provide higher precision and exceed some best-known values.
Volume: 8
Issue: 2
Page: 1122-1130
Publish at: 2018-04-01

Low-Cost Vibration Chamber for Landslide Sensory and Alarm System

10.11591/ijeecs.v10.i1.pp110-119
Eliza Sabira Binti Ismail , Mohamed Hadi Habaebi , Muhammad Ibrahimy , Md Rafiqul Islam
Many previous research works published in the open literature aimed at designing a system that could detect landslide in early stage before the landslide becomes catastrophic. This paper presents a work-in-progress landslide early warning system for Malaysian environment. The aim of this paper is to develop the most effecienctly reliable cost-effective system in which slight earth movements are monitored continuously. The challenge this work aims at is to work with a low budget system that produce efficient performance. Hence, the material used is of-the-shelf. Early design optimization result of the vibration sensor used is quite promising detecting the slightest faint tremors, which are amplified using the best vibration chamber available. It is shown that the choice of proper pipe length and diameter dimensions in combination to a gravel to exaggerate the produced higher sensitivity level of 5dB. Furthermore, both systematic and random vibration tests  produced similar results.
Volume: 10
Issue: 1
Page: 110-119
Publish at: 2018-04-01

An Analysis of a Flexible Dry Surface Electrodes

10.11591/ijeecs.v10.i1.pp74-83
Amelia Wong Azman , Muhammad Farhan Azman , Siti Mohd Ariff , Yasir Mohd Mustafah , Huda Adibah Mohd Ramli , AHM Zahirul Alam , Mohamed Hadi Habaebi
In the medical field, electrodes are commonly used either to retrieve signals or to conduct current. Most of the off-the-shelf surface electrodes are made from metal or rigid substrates. This paper presents a work on designing a new flexible dry electrodes using poly(3,4-ethylenedioxythiophene) polystyrene sulfonate and silver by means of dispenser printing technology. The polyester cotton fabric was selected as the substrate in this electrode designed. To analyse the new proposed composites of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate and silver, different mixtures have been applied.  Results from the experiment show that the conductivity of the proposed flexible electrode is comparable with the commercialized pre-gelled electrode when applied to an electrical stimulator device. Eight out of ten subjects under test described no difference in comfort between the proposed electrodes and pre-gelled electrodes.
Volume: 10
Issue: 1
Page: 74-83
Publish at: 2018-04-01

Notice of Retraction Digital Image Steganography Using Bit Flipping

10.11591/ijict.v7i1.pp1-7
Aditya Kumar Sahu , Gandharba Swain
Notice of Retraction-----------------------------------------------------------------------After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IAES's Publication Principles.We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.The presenting author of this paper has the option to appeal this decision by contacting info@iaesjournal.com.-----------------------------------------------------------------------This article proposes bit flipping method to conceal secret data in the original image. Here a section consists of 2 pixels and there by flipping one or two LSBs of the pixels to hide secret information in it. It exists in 2 variants. The variant-1 and variant-2 both use 7th and 8th bit to conceal the secret data. Variant-1 hides 3 bits per a pair of pixels and the variant-2 hides 4 bits per a pair of pixels. Our proposed method notably raises the capacity as well as bits per pixel that can be hidden in the image compared to existing bit flipping method. The image steganographic parameters such as, peak signal to noise ratio (PSNR), hiding capacity, and the quality index of the proposed techniques has been compared with the existing bit flipping technique
Volume: 7
Issue: 1
Page: 1-7
Publish at: 2018-04-01

Improve The Performance of K-means by using Genetic Algorithm for Classification Heart Attack

10.11591/ijece.v8i2.pp1256-1261
Asraa Abdullah Hussein
In this research the k-means method was used for classification purposes after it was improved using genetic algorithms. An automated classification system for heart attack was implemented based on the intelligent recruitment of computer capabilities at the same time characterized by high performance based on (270) real cases stored within a globally database known (Statlog). The proposed system aims to support the efforts of staff in medical felid to reduce the diagnostic errors committed by doctors who do not have sufficient experience or because of the fatigue that the doctor suffers as a result of work pressure. The proposed system goes through two stages: in the first-stage genetic algorithm is used to select important features that have a strong influence in the classification process. These features forms the inputs to the K-means method in the second-stage which uses the selected features to divide the database into two groups one of them contain cases infected with the disease while the other group contains the correct cases depending on the distance Euclidean. The comparison of performance for the method (K-means) before and after addition genetic algorithm shows that the accuracy of the classification improves remarkably where the accuracy of classification was raised from (68..1481) in the case of use (k- means only) to (84.741) when improved the method by using genetic algorithm.
Volume: 8
Issue: 2
Page: 1256-1261
Publish at: 2018-04-01

An Investigation of the Current Practice to Support Upper Limb Rehabilitation among Advanced Stroke Survivors

10.11591/ijeecs.v10.i1.pp280-285
Nurul Hafizha Musthafa , Suziah Sulaiman
Stroke rehabilitation helps one to relearn skills lost when a stroke affected part of the brain. Stroke rehabilitation programmes involving technology-assisted physical activities have been employed to complement the conventional practices. The success of such a program lies primarily on how well the current practices are understood, and translated onto the activities planned. This is a challenge to system designers, dealing with the technology, who may have limited access to stroke patients. This paper addresses the issue by investigating the current rehabilitation practices conducted on stroke survivors. The methods involved interviewing the stroke rehabilitation practitioners, and observing how therapy sessions were conducted in a local rehabilitation centre. The study findings revealed that conventional rather than technology-supported methods are still the dominant approach used for stroke rehabilitation. Paper and pencil techniques are still in practice for re-learning how to write among advanced stroke survivors. Similarly, activities with the early and intermediate groups at the rehabilitation centre have not been supported by any computer technology yet. The feedback obtained from the practitioners could be used as a basis to design suitable technology-assisted programs especially for advanced stroke survivors in handwriting activities.
Volume: 10
Issue: 1
Page: 280-285
Publish at: 2018-04-01

Implementation of Monitoring System for Air Quality using Raspberry PI: Experimental Study

10.11591/ijeecs.v10.i1.pp43-49
Abdulrahman Abdullah Alkandari , Samer Moein
Because of rising dependency on fossil fuels, and rising amounts of toxic gases in the environment, it found that people are in need of a way to ensure the safety specifically those that live in cities. An approach is suggested in this paper, that is economical yet affords good detection, and can give accurate readings that can be analyzed and manipulated, and can even provide warnings through sending emails. These requirements are found in the Raspberry Pi when it hooked up to the sensors. This paper was focused on few dangerous gases such as Carbon Monoxide (CO), Nitrogen Dioxide (NO2) and other gases. The results in this paper showed that some gases, specifically CO, may be a problem in Kuwait as it is always slightly below the warning level. The success with the Raspberry Pi and the results were encouraging to open the way for much improvement in the future.
Volume: 10
Issue: 1
Page: 43-49
Publish at: 2018-04-01

Random, PSO & MDBPSO based Sensor Deployment in WSN

10.11591/ijeecs.v10.i1.pp286-294
Aparna Pradeep Laturkar , Sridharan Bhavani , DeepaliParag Adhyapak
Wireless Sensor Network (WSN) is emergingtechnology and has wide range of applications, such as environment monitoring, industrial automation and numerous military applications. Hence, WSN is popular among researchers. WSN has several constraints such as restricted sensing range, communication range and limited battery capacity. These limitations bring issues such as coverage, connectivity, network lifetime and scheduling and data aggregation. There are mainly three strategies for solving coverage problems namely; force, grid and computational geometry based. This paper discusses sensor deployment using Random; Particle Swarm Optimization (PSO) and grid based MDBPSO (Modified Discrete Binary Particle Swarm Optimization) methods. This paper analyzes the performance of Random, PSO based and MDBPSO based sensor deployment methods by varying different grid sizes and the region of interest (ROI). PSO and MDBPSO based sensor deployment methods are analyzed based on number of iterations. From the simulation results; it can be concluded that MDBPSO performs better than other two methods.
Volume: 10
Issue: 1
Page: 286-294
Publish at: 2018-04-01
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