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28,451 Article Results

Using Deep Learning for Human Computer Interface via Electroencephalography

10.11591/ijra.v4i4.pp292-310
Sangram Redkar
In this paper, several techniques used to perform EEG signal pre-processing, feature extraction and signal classification have been discussed, implemented, validated and verified; efficient supervised and unsupervised machine learning models, for the EEG motor imagery classification are identified. Brain Computer Interfaces are becoming the next generation controllers not only in the medical devices for disabled individuals but also in the gaming and entertainment industries. In order to build an effective Brain Computer Interface, it is important to have robust signal processing and machine learning modules which operate on the EEG signals and estimate the current thought or intent of the user. Motor Imagery (imaginary hand and leg movements) signals are acquired using the Emotiv EEG headset. The signal have been extracted and supplied to the machine learning (ML) stage, wherein, several ML techniques are applied and validated. The performances of various ML techniques are compared and some important observations are reported. Further, Deep Learning techniques like autoencoding have been used to perform unsupervised feature learning. The reliability of the features is presented and analyzed by performing classification by using the ML techniques. It is shown that hand engineered ‘ad-hoc’ feature extraction techniques are less reliable than the automated (‘Deep Learning’) feature learning techniques. All the findings in this research, can be used by the BCI research community for building motor imagery based BCI applications such as Gaming, Robot control and autonomous vehicles.
Volume: 4
Issue: 4
Page: 292-310
Publish at: 2015-12-01

Review of Vision-Based Robot Navigation Method

10.11591/ijra.v4i4.pp254-261
Budi Rahmani , Agfianto Eko Putra , Agus Harjoko , Tri Kuntoro Priyambodo
Vision-based robot navigation is a research theme that continues to be developed up to now by the researchers in the field of robotics. There are innumerable methods or algorithms are developed, and this paper described the reviews of the methods. The methods are distinguished whether  the robot is equipped with the navigation map (map-based), the map is built incrementally as robot observes the environment (map-building), or the robot navigates using no map (mapless). In this paper will described navigation methods of map-based, map-building, and mapless category.
Volume: 4
Issue: 4
Page: 254-261
Publish at: 2015-12-01

Autonomous Lavatory Cleaning System

10.11591/ijra.v4i4.pp311-315
A. Adithya Bharadwaj , C. Arun Kumar , R. Balasubramanian , P. Gowtham
The application of integrated robotics is becoming increasingly commonplace in day to day applications. The idea presented in this paper seeks to provide a convenient and a hassle-free means of cleaning public toilets whilst maintaining hygienic and sanitary standards. By using a counter to record the number of times of usage, a line follower mechanism to guide the robot and an RFID module to initiate the flushing, the cleaning operation is fully automated and requires low operational power. Furthermore, a robotic arm is part of the module, so as to thoroughly clean the toilet bowl. Such a provision will curtail the role of manpower in maintenance of public toilets to a great degree, and thus, serves as a win-win situation; a revolting objective is accomplished with considerable ease.
Volume: 4
Issue: 4
Page: 311-315
Publish at: 2015-12-01

Effect of Thermal Annealing Temperatures on MSM Photo Detector Based on Ge-like Micro Flowers in the Dark Mode

10.11591/ijeecs.v16.i3.pp502-508
M.J. Jawad , Haider Y. Hammod , Amer B. Dheyab
In this research , a current density of J = 7.5 mA/cm2 was applied over a constant duration of 2 h to grow Ge-like microflowers on Si. To fabricate a photodetector, Pd was deposited by RF-sputtering as metal contact with Ge. The samples were subjected to rapid thermal annealing (RTA) in ambient N2 at 100,200° and 300°C for 10 min. By screening the samples from electrical noise, the electrical characteristics through current-voltage measurements were carried out at room temperature before and after annealing. The measurements were performed in the dark, white light and UV illuminations. The forward I-V characteristics were analyzed using standard thermionic emission relation for electron transport from Metal-semiconductor-metal(MSM)with low doping concentration .The saturation current was obtained as the intercept from the straight line of ln I versus V, T. It was found that at 5V, these currents were 2.45 × 10-5, 5.77× 10-5, 6.12× 10-4 A, respectively. Also characteristics of the MSM photodetector, linear and logarithmic forward and reverse bias, at different annealing temperatures: as-deposited, 100°C, 200°C and 300°C in the dark mode.
Volume: 16
Issue: 3
Page: 502-508
Publish at: 2015-12-01

Developing Oral Presentation Competence in Professional Contexts: A Design-Based Collaborative Approach

10.11591/ijere.v4i4.4509
Anil Pathak , Mani Le vasan
The need to develop oral presentation skills with reference to students’ specialized professional contexts has been well-recognised. Attempts have also been made to develop collaboration between engineering faculty and language teaching professionals. In this paper, we describe an experiment where students were given an opportunity to demonstrate their technical know-ho and integrate it with oral presentation skills. The paper discusses specifics of collaboration between the engineering faculty and the language teachers. Specifications for development of a transparent assessment framework have also been elaborated. It is concluded that such design-based approach is more likely to develop skills required of students to perform in competitive communicative environments. 
Volume: 4
Issue: 4
Page: 179-184
Publish at: 2015-12-01

Pragmatic/Religious and Moral Values in Hermana HMT’s Drama Script “Robohnya Surau Kami” (“The Collapse of Our Mosque”)

10.11591/ijere.v4i4.4513
Lusi Komala Sari , Bede Blaise Chukwunyere Onwuagboke
Life in heaven is the hope of all religious human. Yet, to reach the paradise as promised to all faithful is not an easy road. It needs the balance of earthly life and hereafter’s life to reach the place which is promised by God. The drama Robohnya Surau Kami (RSK) created by dramatist Hermana HTM which is adapted from a short story written by A.A. Navis conveys the aforementioned. Using descriptive technique to analyze Drama RSK it is found that the drama script is created by structural elements as other literary works. The social-religious theme presented in flashback plot made this drama script to heave the readers’ imagination upward. The dialogue which made the gradation of character of each character in the drama brings out the uniqueness of Drama RSK. Unfortunately, the presentation of such an interesting script was poorly supported by various means of literary and dramatics that appear blurred. Despite this, the drama revealed pragmatic view which symbolizes real life situations full of religious and moral lessons for edifying religious and good social life in the society.
Volume: 4
Issue: 4
Page: 207-214
Publish at: 2015-12-01

Design of Distributed Generation with A Hybrid System in Karimunjawa Island

10.11591/ijape.v4.i3.pp96-103
Gunawan Gunawan , Suryani Alifah , Moh. Arif Raziqy
The current condition, in Karimunjawa Island, is supplied by diesel power with a total power output of 400kW. The number of households in this island is 1545, while the number of electricity customers as many as 850 homes with the local electrification ratio of 55%. With such high load electrification, the generator is only operated from 05.00pm-06.00pm every day to limit the operating costs. Methodology used was the determination of the size of the PV generator capacity based on the percentage of daily generation. The selection of conversion technology with hybrid concept synergizes photovoltaic to be combined with diesel. Loading simulations are performed with HOMER application that provides a variety of features on a variety of configurations and scenarios designed.The first scenario is in the form of giving additional capacity by using the power of 100kW of PV system and at peak load by adding the duration of the day with 5 hours, it is obtained the production of PV of 800kWh/day with the selling price of $ 3,900;/kWh. The second scenario is in the form of giving additional capacity by using the power of 100kW of PV system at noon for 10 hours and during peak load, it gains total value production of PV with1400kWh/day and distributed to system with a selling price of Rp 3,867/kWh.
Volume: 4
Issue: 3
Page: 96-103
Publish at: 2015-12-01

A Cascade Multilevel Z-Source Inverter for Photovoltaic System

10.11591/ijeecs.v16.i3.pp473-479
Thirumalini P , R. Arulmozhiyal , M Murali
This paper describes a multilevel Z-source inverter for solar photovoltaic applications. The conventional power conversion topology performs either buck or boost the input voltage for non linear load depending upon duty ratio and modulation index in a multiple stage conversion with the help of impedance source passive network (L and C), which is usually known as Z-Source, which couples the n level source with input to the power source and increase the power efficiency. The multilevel z network capabilities of inverter are operated in the shoot through state of duty cycle and it acts as a filter to reduces the level of harmonics, stabilize power factor and to increase the output AC voltage range of inverter. To overcome further harmonics, multilevel level operation z source inverter compensates the fundamental level of harmonic in renewable. Proposed work as a whole involves the simulation part to design multilevel inverter. The output of the simulation is obtained by Simulink model using MATLAB.
Volume: 16
Issue: 3
Page: 473-479
Publish at: 2015-12-01

De-Identified Personal Health Care System Using Hadoop

10.11591/ijece.v5i6.pp1492-1499
Dasari Madhavi , B.V. Ramana
Hadoop technology plays a vital role in improving the quality of healthcare by delivering right information to right people at right time and reduces its cost and time. Most properly health care functions like admission, discharge, and transfer patient data maintained in Computer based Patient Records (CPR), Personal Health Information (PHI), and Electronic Health Records (EHR). The use of medical Big Data is increasingly popular in health care services and clinical research. The biggest challenges in health care centers are the huge amount of data flows into the systems daily. Crunching this Big Data and de-identifying it in a traditional data mining tools had problems. Therefore to provide solution to the de-identifying personal health information, Map Reduce application uses jar files which contain a combination of MR code and PIG queries. This application also uses advanced mechanism of using UDF (User Data File) which is used to protect the health care dataset. De-identified personal health care system is using Map Reduce, Pig Queries which are needed to be executed on the health care dataset. The application input dataset that contains the information of patients and de-identifies their personal health care.  De-identification using Hadoop is also suitable for social and demographic data.
Volume: 5
Issue: 6
Page: 1492-1499
Publish at: 2015-12-01

FPGA Based Fault Tolerant Scheme on Four Switch Voltage Source Inverter

10.11591/ijape.v4.i3.pp137-148
Ayyakrishnan M.
This paper presents an efficient methodology to detect the fault occurrence and its tolerance of four switch voltage source inverter in a single Xilinx Spartan 3E Field   Pro-grammable Gate Array (FPGA). The merit of this proposed system reduces the time period between fault existence and its isolation with four switches in two legs instead of six switches in three legs so as to minimize the switching losses, accuracy, and better recovery time. The FPGA platform supports the run-time reconfiguration of control functions and algorithms directly in hardware and meets hard real-time performance criteria in terms of timings for SVPWM generation, fault detection time and fault tolerance time. Simulation and Experimental results of this proposed system is demonstrated and verified.
Volume: 4
Issue: 3
Page: 137-148
Publish at: 2015-12-01

Impact of FACTS Devices in Optimal Generation in Deregulated Power System

10.11591/ijape.v4.i3.pp118-125
Pramod Kumar Gouda , Prakash Kumar Hota
Since Gencos and Discos compete primarily based on the price in a deregulated market, minimizing the losses or regulating the voltage or controlling the power flow within the rating of power system components such as cables, transformers, transmission lines become extremely difficult. Recent developments in FACTS devices increases the number of constraints and nonlinearity, and henceachieving the optimal solution becomes further complicated. The Optimal Power Flow Problem, determines the best way to operate a power system at any given instant. It solves the power system load flow with an aim to optimize system operating conditions while automatically adjusting control variable settings without violating the system operating constraints. In this paper such constraints based OPF scheme is developed and presented which also incorporates various Flexible AC Transmission Devices. In this work three different types of FACTS devices namely SVC, TCSC, UPFC are separately included into the OPF problem in addition to the conventional constraints that govern an OPF solution. An IEEE 30 bus system is considered and the results obtained for three different loading conditions with three different FACTS devices and their performance are evaluated.
Volume: 4
Issue: 3
Page: 118-125
Publish at: 2015-12-01

Optimal Coordination of Overcurrent and Distance Relays Using Cuckoo Optimization Algorithm

10.11591/ijeecs.v16.i3.pp389-400
Farhad Namdari , Sajad Samadinasab , Nader Shojaei , Mohammad Bakhshipour
The duty of protective systems is the timely detection of fault and removing it from the power network. The accuracy of the results and reducing the execution time of the optimizing algorithm are two crucial elements in selecting optimizing algorithms in protective functions. The most important protective elements that are used in power networks are distance and overcurrent relays. In this article, a new algorithm is presented to solve the optimization problem of coordination of overcurrent and distance relays by using Cuckoo Optimization Algorithm which considers the non-linear model overcurrent relays at all stages of setting. The proposed method is tested on a standard 8-bus power system network. Also the results obtained have been compared with other evolutionary algorithms. The results show that the proposed approach can be provide more effective and practical solutions to minimize the time function of the relays and achieving optimal coordination in comparison with previous studies on optimal coordination of overcurrent and distance relays in power system networks.
Volume: 16
Issue: 3
Page: 389-400
Publish at: 2015-12-01

Performance Comparison of Routing Protocols in Bipartite Wireless Sensor Network

10.11591/ijece.v5i6.pp1417-1423
Devashish Gosain , Itu Snigdh
This paper evaluates and ranks the suitability of routing algorithms for bipartite wireless sensor network topology. The network considered in this paper, consists of an irregular combination of fixed and mobile nodes, which leads to construction of a bipartite graph among them. A wireless sensor network is usually constrained by the energy limitations and processing capabilities. We therefore, consider the important metrics for analysis namely, carried load, energy consumption and the average delay incurred. We present the possibilities of employing the routing algorithms subject to the quality of service required by the wireless sensor networks applications
Volume: 5
Issue: 6
Page: 1417-1423
Publish at: 2015-12-01

Predictive Control Fed by An Indirect Converter With and Without Energy Storage Using PSO Optimization

10.11591/ijape.v4.i3.pp104-117
Zakaria Lammouchi , Kamel Barra
The paper presents an improved predictive direct control of a variable speed. The method is based on finite states space model of the converter. The proposed control method selects the optimal switching state of (Indirect Converter with and without energy storage for rectified and inverter) that minimizes the error between orthogonal torque, fluxs, and the reactive power components predictions to their computed values for all different voltage vectors. The optimal voltage vector that minimizes a cost function is then applied to the output of the power converter. The main aim of this paper is to propose an online optimization of the weighting factors by the Particle Swarm Optimization (PSO) approach well known by its robustness and fast convergence to the global optimum. Simulation results show that PSO strategy is very efficient to design accurately and quickly these weighting factors.
Volume: 4
Issue: 3
Page: 104-117
Publish at: 2015-12-01

Graph-Based Concept Clustering for Web Search Results

10.11591/ijece.v5i6.pp1536-1544
Supakpong Jinarat , Choochart Haruechaiyasak , Arnon Rungsawang
A search engine usually returns a long list of web search results corresponding to a query from the user. Users must spend a lot of time for browsing and navigating the search results for the relevant results. Many research works applied the text clustering techniques, called web search results clustering, to handle the problem. Unfortunately, search result document returned from search engine is a very short text. It is difficult to cluster related documents into the same group because a short document has low informative content. In this paper, we proposed a method to cluster the web search results with high clustering quality using graph-based clustering with concept which extract from the external knowledge source. The main idea is to expand the original search results with some related concept terms. We applied the Wikipedia as the external knowledge source for concept extraction. We compared the clustering results of our proposed method with two well-known search results clustering techniques, Suffix Tree Clustering and Lingo. The experimental results showed that our proposed method significantly outperforms over the well-known clustering techniques.
Volume: 5
Issue: 6
Page: 1536-1544
Publish at: 2015-12-01
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