Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

30,895 Article Results

Identifying A User Interface Web Design Standard for Higher Learning Institutions Using Kansei Engineering

10.11591/ijeecs.v11.i1.pp90-97
Punitha Turumugon , Aslina Baharum
User interface design plays an important role in web design. Designing a user interface that satisfies the emotional needs of the users is essential as the user interface plays a crucial role in generating remarkable user experiences for websites. A poorly designed user interface leads to bad user interaction while raising the users’ arousal and a displeasing user experience with a website elicits dissatisfaction emotion where consecutively results in avoidance and prevents revisit to the website. A standard emotional based user interface web design would enhance user experience which will lead to success of a website. Kansei engineering which is a popular technique in transforming users’ feelings into product design is used in this research. This study tries to convert the feelings and emotions of users into design elements with the use of Kansei engineering technology in order to design an appropriate higher learning institution website by  identifying a standard web design that cultivates emotional engagement. A standard user interface web design guideline for the development of the higher learning institutions’ website has been proposed in this research.
Volume: 11
Issue: 1
Page: 90-97
Publish at: 2018-07-01

Smart Home Security Access System Using Field Programmable Gate Arrays

10.11591/ijeecs.v11.i1.pp152-160
Shukur Bin Saleh , Sulaiman Bin Mazlan , Nik Iskandar Bin Hamzah , Ahmad Zahid Zakwan Bin Abdul Karim , Mohd Shamian Bin Zainal , Shipun Anuar Bin Hamzah , Danial Bin Md Nor , Hazwaj Bin Mhd Poad
Nowadays, the rapid growth of burglary and theft cases over the world has been threatening to the vulnerability of traditional home security systems. Therefore the development home security with intelligent control wherein focus to enhance conventional technique to theadvanced digital security systemand to be more interestinginhome or building owner for preventing intruders in smart home implementation. However, using avariety of type conventional lock doors for security purposes and analog intruder sensor with individual function system is not secure enoughin order to protect the person or company properties. That why the emergence of new technology such as integrated circuit network will apply in Smart Home system for abetter security solution to prevent the houses from theintruder and hazardous fire incident. Therefore, this project is done to design and build a smart system with consist of digital security entry for automatic lock doors and also for activating or deactivate all security sensor in houses which is function for detecting the irregular movement and hot temperature (fire incident) in-house for the domestic residential sector. This product includeswith doors automatic lock system using servo motor and detect irregular movement intruder using PIR motion sensor (HC-SR501) and also measure hot temperature using temperature sensor (LM35). The sensor will transmit theanalog signal to Field Programmable Gate Array (FPGA) the Altera DE2-115 board to be processed and which will then display the status entry after key-in password and activation security system on the LED seven segment displays. The entry login controller will use apush button or switchesavailable on FPGA board that are used to login password for automatic door accessand also able maintained for control home smart security system.
Volume: 11
Issue: 1
Page: 152-160
Publish at: 2018-07-01

A Proposed Resistance-to-Time Converter with Switching Impulse Calibrators for Application in Resistive Bridge Sensors

10.11591/ijeecs.v11.i1.pp47-50
M. Zahangir , Sheroz Khan , I. Adam , K. Abdul Kadir , A. N. Nordin , S. N. Ibrahim
This paper presents a simple resistance-to-time converter. It consists of two voltage comparators, a ramp voltage generator, two logic gates and impulse voltage calibrators. A square-wave generator circuit is suggested in this paper. The design is simple and independent of the OPAMP offset issues. The resulting square-wave is rectified to get its DC equivalent and to a triangular output; the two outputs are applied to a comparator for generating a digital output with a duty cycle proportional to a change in resistance upon which is dependent the DC.
Volume: 11
Issue: 1
Page: 47-50
Publish at: 2018-07-01

Ensemble Method for Indonesian Twitter Hate Speech Detection

10.11591/ijeecs.v11.i1.pp294-299
M. Ali Fauzi , Anny Yuniarti
Due to the massive increase of user-generated web content, in particular on social media networks where anyone can give a statement freely without any limitations, the amount of hateful activities is also increasing. Social media and microblogging web services, such as Twitter, allowing to read and analyze user tweets in near real time. Twitter is a logical source of data for hate speech analysis since users of twitter are more likely to express their emotions of an event by posting some tweet. This analysis can help for early identification of hate speech so it can be prevented to be spread widely. The manual way of classifying out hateful contents in twitter is costly and not scalable. Therefore, the automatic way of hate speech detection is needed to be developed for tweets in Indonesian language. In this study, we used ensemble method for hate speech detection in Indonesian language. We employed five stand-alone classification algorithms, including Naïve Bayes, K-Nearest Neighbours, Maximum Entropy, Random Forest, and Support Vector Machines, and two ensemble methods, hard voting and soft voting, on Twitter hate speech dataset. The experiment results showed that using ensemble method can improve the classification performance. The best result is achieved when using soft voting with F1 measure 79.8% on unbalance dataset and 84.7% on balanced dataset. Although the improvement is not truly remarkable, using ensemble method can reduce the jeopardy of choosing a poor classifier to be used for detecting new tweets as hate speech or not.
Volume: 11
Issue: 1
Page: 294-299
Publish at: 2018-07-01

Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control

10.11591/ijeecs.v11.i1.pp105-112
S.Y. Sim , C.K. Chia , W.M. Utomo , H.H. Goh , Y.M.Y. Buswig , A.J.M.S. Lim , S.L. Kek , A.A. Bohari , C.L, Cham
This paper proposed a 7-level Cascaded H-Bridge Multilevel Inverter (CHBMI) with two diffenrent controller, ie, PID and Artificial Neural Network (ANN) controller to improve the output voltage performance and achieve a lower Total Harmonic Distortion (THD). A PWM generator is connected to the 7-level CHBMI to provide switching of the MOSFET. The reference signal waveform for the PWM generator is set to be sinusoidal to obtain an ideal AC output voltage waveform from the CHBMI. By tuning the PID controller as well as the self-learning abilities of the ANN controller, switching signals towards the CHBMI can be improved.  Simulation results from the general CHBMI together with the proposed PID and ANN controller based 7-level CHBMI models will be compared and discussed to verifyl the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performance.
Volume: 11
Issue: 1
Page: 105-112
Publish at: 2018-07-01

Prediction Outcome for Massive Multiplayer Online Games Using Data Mining

10.11591/ijeecs.v11.i1.pp248-255
Shazwani Samsurim , Nor Ashikin Mohamad Kamal , Marina Ismail , Norizan Mat Diah
Massive Multiplayer Online (MMO) game is one of the famous game genres among teenagers nowadays. MMO games allow gamers to interact and play with up to thousand players. Rainbow Six Siege (RSS) belongs to MMO type of game. However, due to many operators that are available in this game, the player needs to choose the right operator to counter the enemy operator. Therefore, based on the characteristic of the selected operator, this paper attempted to predict the outcomes of the game.  In our prediction model, characteristics for these operators were extracted from 120 live stream replays. Three classification algorithms were utilized to predict the outcome of the game. Among these algorithms, IBK had obtained outstanding performance in the dataset. The accuracy of the model is 93.75%, applying 5-fold cross-validation test. The success rate reveals that our proposed model is suitable to predict the outcome of the game.
Volume: 11
Issue: 1
Page: 248-255
Publish at: 2018-07-01

Symmetrical and Asymmetrical Multilevel Inverter Structures with Reduced Number of Switching Devices

10.11591/ijeecs.v11.i1.pp144-151
M. H. Yatim , A. Ponniran , M. A. Zaini , M. S. Shaili , N. A. S. Ngamidun , A.N. Kasiran , A. A. Bakar , J.N. Jumadril
The purpose of this study is to analyze the operation and design of symmetrical and asymmetrical multilevel inverter structures with reduced number of switching devices. In this study, the term of conventional inverter is defined as a single cascaded inverter. Specifically, the inverter operates in three complete loops and only produces 2-level and 3-level of output voltages. Usually, cascaded structure suffers from the high total harmonic distortion. Thus, by considering multilevel structure of inverter, low total harmonic distortion reduction and voltage stress reduction on switching devices can be archived. Sinusoidal pulse width modulation and modified square pulse width modulation are used as modulation techniques in switching schemes of the designed multilevel inverters. The findings indicate that, the designed multilevel structure cause low total harmonics distortion at the output voltage. Furthermore, the asymmetrical structure is producing the same output voltage levels with reduced number of switching devices compared to the symmetrical structure is experimentally confirmed. The findings show that the total harmonic distortion for 7-level (symmetrical) and 9-level (asymmetrical) are 16.45% and 15.22%, respectively.
Volume: 11
Issue: 1
Page: 144-151
Publish at: 2018-07-01

Edge detection Using Histogram Localization

10.11591/ijeecs.v11.i1.pp341-355
Mohamed Asharudeen , Hema P Menon
Detection of edges under noisy environments has been gaining lot of prominence in the recent past in most of the image and video processing applications. In this work a novel approach based on the distribution of intensity values and their corresponding positions has been proposed for distinguishing the edge pixels from the grey scale images. Separate histogram has been maintained for X and Y coordinates. The first order derivative is applied over these histograms to distinguish the edge pixels. The pixel with gradient distribution below a specific threshold value is selected as an edge pixel. This method is found to work well in case of both noiseless and noisy images. Hence this method is able to perceive the underlying information in case of noisy images also. The proposed algorithm can be used for both low and high resolution images. However, the performance of the algorithm is more evident in high resolution image. A general analysis of the proposed method has been conducted for arbitrary images. The major application of the proposed work can be used for the applications that doesn’t need any preprocessing or to avoid any loss of information like in medical image analysis as it contemplate towards every intensity bin to trace the edges present in the histogram of the image rather than the overall image concerning for direct edge tracing. The results have been compared with canny algorithm which is most commonly used for edge detection.
Volume: 11
Issue: 1
Page: 341-355
Publish at: 2018-07-01

Smart Monitoring and Controlling of Frequency Deviation by Using MATLAB GUI and ARDUINO DAQ Card

10.11591/ijeecs.v11.i1.pp224-232
Waqar Tariq , Mohammad Lutfi Othman , Noor Izzri Abdul Wahab , Shamim Akhtar
Electricity transmission and distribution in most of the countries are needed to be improved by the construction of new networks. These improvements are not that much cost effective and if cost is tried to be reduced then the quality and efficiency of the system is compromised which is not suitable at all for the current system. In addition obtaining planning permission and carrying out construction is so much difficult in busy cities. The main objective of this research is to monitor and control frequency deviation. A simple MATLAB controlling and monitoring system is being developed and the ARDUINO DAQ card is used to calculate the frequency deviation. The purpose of respective research is basically based on a dummy load which is used to show the usage of particular equipment’s used in a home such as fridge, freezer ,oven , lighting system, and domestic wet appliances such as washer dryer  which are attached these to a DAQ and then to a controlling and monitoring GUI MATLAB based. However, this research is focused on the monitoring and controlling of the frequency deviation.
Volume: 11
Issue: 1
Page: 224-232
Publish at: 2018-07-01

Robust Security for Health Information by ECC with Signature Hash Function in WBAN

10.11591/ijeecs.v11.i1.pp256-262
G. Sridevi Devasena , S. Kanmani
Wireless Body Area Networks (WBANs) are fundamental technology in health care that permits the information of a patient’s essential body parameters to be gathered by the sensors. However, the safety and concealment defense of the gathered information is a key uncertain problem. A Hybrid Key Management (HKM) scheme [13] is worked based on Public Key Cryptography (PKC)-authentication scheme. This scheme uses a oneway hash function to construct a Merkle Tree. The PKC method increase the computational complexity and lacking scalability. Additionally, it increases expensive computation, communication costs and delay. To overcome this problem, Robust Security for Protected Health Information by ECC with signature Hash Function in WBAN (RSP) is proposed. The system employs hash-chain based key signature technique to achieve efficient, secure transmission from sensor to user in WBAN. Moreover, Elliptical Curve Cryptography algorithm is used to verifies the authenticate sensor. In addition, it describes the experimental results of the proposed system demonstrate the efficient data communication in a network.
Volume: 11
Issue: 1
Page: 256-262
Publish at: 2018-07-01

A Novel Face Recognition Algorithm Using Gabor - based KPCA

10.11591/ijres.v7.i2.pp124-130
Umasankar Ch , D. Naresh Kumar , Md. Abdul Rawoof , D. Khalandar Basha , N. Madhu
The Gabor wavelets are used to extract facial features, and then a doubly nonlinear mapping kernel PCA (DKPCA) is proposed to perform feature transformation and face recognition. The conventional kernel PCA nonlinearly maps an input image into a high-dimensional feature space in order to make the mapped features linearly separable. However, this method does not consider the structural characteristics of the face images, and it is difficult to determine which nonlinear mapping is more effective for face recognition. In this work, a new method of nonlinear mapping, which is performed in the original feature space, is defined. The proposed nonlinear mapping not only considers the statistical properties of the input features, but also adopts an Eigen mask to emphasize those important facial feature points The proposed algorithm is evaluated based on the Yale database, the AR database, the ORL database and the YaleB database.
Volume: 7
Issue: 2
Page: 124-130
Publish at: 2018-07-01

Comparison of Swarm Intelligence Algorithms for High Dimensional Optimization Problem

10.11591/ijeecs.v11.i1.pp300-307
Samar Bashath , Amelia Ritahani Ismail
High dimensional optimization considers being one of the most challenges that face the algorithms for finding an optimal solution for real-world problems. These problems have been appeared in diverse practical fields including business and industries. Within a huge number of algorithms, selecting one algorithm among others for solving the high dimensional optimization problem is not an easily accomplished task. This paper presents a comprehensive study of two swarm intelligence based algorithms: 1-particle swarm optimization (PSO), 2-cuckoo search (CS).The two algorithms are analyzed and compared for problems consisting of high dimensions in respect of solution accuracy, and runtime performance by various classes of benchmark functions. 
Volume: 11
Issue: 1
Page: 300-307
Publish at: 2018-07-01

Hybrid Artificial Neural Network with Meta-heuristics for Grid-Connected Photovoltaic System Output Prediction

10.11591/ijeecs.v11.i1.pp121-128
Norfarizani Nordin , Shahril Irwan Sulaiman , Ahmad Maliki Omar
This paper presents the performance evaluation of hybrid Artificial Neural Network (ANN) model with selected meta-heuristics for predicting the AC output power fof a Grid-Connected Photovoltaic (GCPV). The ANN has been hybridized with three meta-heuristics, i.e. Cuckoo Search Algorithm (CSA), Evolutionary Programming (EP) and Firefly Algorithm (FA) separately. These meta-heuristics were used to optimize the number of neurons, learning rate and momentum rate such that the Root Mean Square Error (RMSE) of the prediction was minimized during the ANN training process. The results showed that CSA had outperformed EP and FA in producing the lowest RMSE. Later, Mutated Cuckoo Search Algorithm (MCSA) was introduced by incorporating Gaussian mutation operator in the conventional CSA. Further investigation showed that MSCA performed better prediction when compared with the conventional CSA in terms of RMSE and computation time.
Volume: 11
Issue: 1
Page: 121-128
Publish at: 2018-07-01

On the Review and Setup of Security Audit using Kali Linux

10.11591/ijeecs.v11.i1.pp51-59
Teddy Surya Gunawan , Muhammad Kassim Lim , Nurul Fariza Zulkurnain , Mira Kartiwi
The massive development of technology especially in computers, mobile devices, and networking has bring security issue forward as primarily concern. The computers and mobile devices connected to Internet are exposed to numerous threats and exploits. With the utilization of penetration testing, vulnerabilities of a system can be identified and simulated attack can be launched to determine how severe the vulnerabilities are. This paper reviewed some of the security concepts, including penetration testing, security analysis, and security audit. On the other hand, Kali Linux is the most popular penetration testing and security audit platform with advanced tools to detect any vulnerabilities uncovered in the target machine. For this purpose, Kali Linux setup and installation will be described in more details. Moreover, a method to install vulnerable server was also presented. Further research including simulated attacks to vulnerable server on both web and firewall system will be conducted.
Volume: 11
Issue: 1
Page: 51-59
Publish at: 2018-07-01

Analysis of CMOS Logic and Transmission Gate for 64 Bit Parallel Prefix Adders

10.11591/ijres.v7.i2.pp115-123
Nehru.K K , Nagarjuna T , Somanaidu U
Parallel prefix adder network is a type of carry look ahead adder structure. It is widely considered as the fastest adder and used for high performance arithmetic circuits in the digital signal processors. In this article, an introduction to the design of 64 bit parallel prefix adder using transmission technique which acquires least no of nodes with the lowest transistor count and low power consumption is presented. The 64 bit parallel prefix adder is designed and comparison is made between other previously parallel prefix adders. The result shows that the proposed 64 bit parallel prefix adder is slightly better than existing parallel prefix adders and it considerably increases the computation speed.The spice tool is used for analysis with different supply voltages.
Volume: 7
Issue: 2
Page: 115-123
Publish at: 2018-07-01
1 2 3
...
2059 2060
Show 1497 of 2060

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration