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Effects of Relationship Quality on Citizen Intention Use of E-government Services: An Empirical Study of E-government System

10.11591/ijece.v8i6.pp5127-5133
Berlilana Berlilana , Taqwa Hariguna , Min Tsai Lai
This study aims to explain the concept of relationship quality on citizen intention use of e-Government service. We have built 5 hypotheses. The result of 5 hypotheses is positive and significant impact. In building citizen relationship, we build two antecedent they are perceived e-Government usability and perceived e-Government credibility. The method we use in this research is empirical, with 366 valid respondents.
Volume: 8
Issue: 6
Page: 5127-5133
Publish at: 2018-12-01

Provisioning of Street Lighting based on Ambience Intensity for Smart City

10.11591/ijeecs.v12.i3.pp1401-1406
Rajina R Mohamed , Mohamad A Mohamed , Arniyati Ahmad , Muhamad A H Abd Halim
Street lighting is a component that require an efficient energy management system for comprehensive energy savings. It should provide ultimate comfort and safety to road users that contribute to the stability of economy and social of the country as well to the smart city development. Currently many street lighting especially in Malaysia, which is ON in the evening and OFF before the sun sets without taking into consideration the ambient brightness and also the number of vehicles. This condition may increase the use of energy as well as dangerous to motorist. Thus this Ambient Street Lighting project was developed using embedded-based Arduino microcontroller for lighting management based on the circumstances surrounding of the road. A threshold value is set based on a reading of the actual situation in order to test the functionality of the prototype. The Ambient Street Lighting prototype have reacted with success towards surrounding brightness/darkness and number of cars passing by on the street.
Volume: 12
Issue: 3
Page: 1401-1406
Publish at: 2018-12-01

Process Mining in Supply Chains: A Systematic Literature Review

10.11591/ijece.v8i6.pp4626-4636
Bambang Jokonowo , Jan Claes , Riyanarto Sarno , Siti Rochimah
Performance analysis and continuous process improvement efforts are often supported by the construction of process models representing the interactions of the partners in the supply chain. This study was conducted to determine the state of the art in the process mining field, specifically in the context of cross-organizational process. The Systematic Literature Review (SLR) method is used to review a collection of twenty-one papers that are classified according to the Artifact framework of Hevner, et al. and within the Process Mining framework of Van der Aalst. In the reviewed papers, the authors conducted a variety of techniques to establish the event log, which is then used to perform the process mining analysis. Eight of the reviewed papers focus on the definition of concepts or measures. Five of the papers describe models and other abstractions that are used as a theoretical basis for process mining in the context of supply chains. The majority twenty of papers describe some kind of informal method or formal algorithm to perform process mining analysis. Nine of the papers that propose a formal algorithm also present an accompanying software implementation. Eight papers discuss the data preparation challenges and twelve papers discuss process discovery techniques.
Volume: 8
Issue: 6
Page: 4626-4636
Publish at: 2018-12-01

Item Analysis for the Adapted Motivation Scale Using Rasch Model

10.11591/ijere.v7i4.15376
Sar Ee Ng , Kee Jiar Yeo , Azlina bt Mohd Kosnin
The aim of this study was to measure the validity and reliability of an adapted motivation scale used in second language learning.  The Integrative and Instrumental motivation (IIM)  was developed based on two orientations of motivation, which were integrative motivation and instrumental motivation.  IIM was used to identify students’ level of motivation towards learning Chinese language as a second language (CLSL) in national school.  The study presented empirical evidence of validity and reliability using the Rasch Model.   Pilot study was conducted in a national school which has students enrolled for the CLSL class.   There were 29 students in this pilot study.  Data was  analyzed using WINSTEPS version 3.72.3.  The result showed the reliability of the motivation scale is 0.87 based on Cronbach’s alpha.  The construct validity was determined by PT-measure correlation value (PMC) range from 0.71 to 0.86, infit and outfit MNSQ  between 0.53 to 1.43 and ZSTD range from -1.1 to 1.2. In unidimensional measure, raw variance explained was at 66.4%  with the unexplanined variance in the first factor was at 13.6%.  Finally the fit statistics showed that person separation index, 2.79 was considered good and item separation index, 1.81was in acceptable range (Linacre,2012).  Person and item reliability were at 0.89 and 0.77 respectively.  The result indicated that the new instrument with 15 items-IIM after eliminated unfit items was a reliable and valid instrument to measure the motivation in learning CLSL in the context of national school.
Volume: 7
Issue: 4
Page: 264-269
Publish at: 2018-12-01

Spectrum Sensing with VSS-NLMS Process in Femto/Macro-cell Environments

10.11591/ijece.v8i6.pp5185-5194
Sidi Mohammed Hadj Irid , Mohammed Hicham Hachemi , Haroun Errachid Adardour , Mourad Hadjila
Handover is a process that allows a mobile node to change its attachment point. A mobile node connected to a network can, in order to improve the quality of service, have the need to leave it to connect to a cell either of the same network or of a new network. The present paper introduce three techniques using adaptive Variable Step-Size Least Mean Square (VSSLMS) filter combined with spectrum sensing probability method to detect the triggering of handover in heterogeneous LTE networks. These techniques are Normalized LMS (NLMS), Kwong-NLMS and Li-NLMS. The simulation environment is composed of two femtocells belonging to a macrocell. Five User Equipements (UEs) are positioned in one femtocell and are assumed closest to its circumference. Simulation results show that sensing probability with Li-NLMS algorithm has a better performance compared with classical NLMS and Kwong-NLMS.
Volume: 8
Issue: 6
Page: 5185-5194
Publish at: 2018-12-01

An Automatic ROI of The Fundus Photography

10.11591/ijece.v8i6.pp4545-4553
Jufriadif Na'am , Johan Harlan , Irawadi Putra , Romi Hardianto , Mutiana Pratiwi
The Region of interest (ROI) of the fundus photography is an important task in medical image processing. It contains a lot of information related to the diagnosis of the retinal disease. So the determination of this ROI is a very influential first step in fundus image processing later. This research proposed a threshold method of segmentation to determine ROI of the fundus photography automatically. Data to be elaborated were the fundus photography’s of 13 patients, captured using Nonmyd7 camera of Kowa Company Ltd in Dr. M. Djamil Hospital, Padang. The results of this processing could determine ROI automatically. The automatic cropping successfully omits as much as possible the non-medical areas shown as darkbackground, while still maintaining the whole medical areas, comprised the posterior pole of retina captured through the pupil. Thus, this method is  helpful in further image processing of posterior areas. We hope that this research will be useful for researchers.
Volume: 8
Issue: 6
Page: 4545-4553
Publish at: 2018-12-01

Development of Regenerative Braking Concept for Electric Vehicle Enhanced with Bidirectional Converter

10.11591/ijpeds.v9.i4.pp1584-1590
M. Kavitha , V. Elanangai , S. Jayaprakash , V. Balasubramanian
Due to the increasing concern for environment protection and the uncertainty about oil reserves, nowadays electricity is playing a key role as an alternative energy source in the automotive sector. In this paper, non isolated bidirectional converter is used for electric vehicle application during regenerative braking process. During motoring operation, the converter supplies energy to motor through battery. In regenerative braking action, the converter supplies the available back emf to charge the battery. The recycled energy is effectively stored in the battery. The simulation is carried out in MATLAB/Simulink. The worthiness of simulation is illustrated experimentally by developing a prototype. The simulation and experimental results are presented in this paper.
Volume: 9
Issue: 4
Page: 1584-1590
Publish at: 2018-12-01

Analysing Tuberculosis Trends in South Asia

10.11591/ijece.v8i6.pp5245-5252
Kumar Abhishek , M. P Singh , Md. Sadik Hussain
Tuberculosis (TB) has been one of the top ten causes of death in the world. As per the World Health Organization (WHO) around 1.8 million people have died due to tuberculosis in 2015. This paper aims to investigate the spatial and temporal variations in TB incident in South Asia (India, Bangladesh, Pakistan, Maldives, Nepal, and Sri-Lanka). Asia had been counted for the largest number of new TB cases in 2015. The paper underlines and relates the relationship between various features like gender, age, location, occurrence, and mortality due to TB in these countries for the period 1993-2012.
Volume: 8
Issue: 6
Page: 5245-5252
Publish at: 2018-12-01

MetOp Satellites Data Processing for Air Pollution Monitoring in Morocco

10.11591/ijece.v8i6.pp4584-4592
Mohamed Akram Zaytar , Chaker El Amrani
This paper presents a data processing system based on an architecture comprised of multiple stacked layers of computational processes that transforms Raw Binary Pollution Data coming directly from Two EUMETSAT MetOp satellites to our servers, into ready to interpret and visualise continuous data stream in near real time using techniques varying from task automation, data preprocessing and data analysis to machine learning using feedforward artificial neural networks. The proposed system handles the acquisition, cleaning, processing, normalizing, and predicting of Pollution Data in our area of interest of Morocco.
Volume: 8
Issue: 6
Page: 4584-4592
Publish at: 2018-12-01

Post Event Investigation of Multi-stream Video Data Utilizing Hadoop Cluster

10.11591/ijece.v8i6.pp5089-5097
Jyoti Parsola , Durgaprasad Gangodkar , Ankush Mittal
Rapid advancement in technology and in-expensive camera has raised the necessity of monitoring systems for surveillance applications. As a result data acquired from numerous cameras deployed for surveillance is tremendous. When an event is triggered then, manually investigating such a massive data is a complex task. Thus it is essential to explore an approach that, can store massive multi-stream video data as well as, process them to find useful information. To address the challenge of storing and processing multi-stream video data, we have used Hadoop, which has grown into a leading computing model for data intensive applications. In this paper we propose a novel technique for performing post event investigation on stored surveillance video data. Our algorithm stores video data in HDFS in such a way that it efficiently identifies the location of data from HDFS based on the time of occurrence of event and perform further processing. To prove efficiency of our proposed work, we have performed event detection in the video based on the time period provided by the user. In order to estimate the performance of our approach, we evaluated the storage and processing of video data by varying (i) pixel resolution of video frame (ii) size of video data (iii) number of reducers (workers) executing the task (iv) the number of nodes in the cluster. The proposed framework efficiently achieve speed up of 5.9 for large files of 1024X1024 pixel resolution video frames thus makes it appropriate for the feasible practical deployment in any applications.
Volume: 8
Issue: 6
Page: 5089-5097
Publish at: 2018-12-01

Comparison of Z-Source EZ-Source and TZ-Source Inverter Systems for Wind Energy Conversion

10.11591/ijpeds.v9.i4.pp1693-1701
S. Bala Kumar , Samuel Kefale , Azath M
In this paper, three different impedance source inverters: Z-source inverter, EZ- source inverter, TZ-Source for wind energy conversion system (WECS) were investigated. Total output power and THD of each of these systems are calculated. The proposed system can boost the output voltage effectively when the low output voltage of the generator is available at low wind speed. This system has higher performance, less components, increased efficiency and reduced cost. These features make the proposed TZSI based system suitable for the wind conversion systems. MATLAB simulink model for wind generator system is developed and simulation studies are successfully performed. The simulation is done using MATLAB and the simulation results are presented. This comparison shows that the TZ-source inverter is very promising for wind energy conversion system.
Volume: 9
Issue: 4
Page: 1693-1701
Publish at: 2018-12-01

Elliptic Curve Cryptography Based Data Transmission against Blackhole Attack in MANET

10.11591/ijece.v8i6.pp4412-4422
Jeenat Sultana , Tasnuva Ahmed
Mobile nodes roaming around in the hostile environment of mobile adhoc network (MANET) play the role of router as well as terminal. While acting as a router, a node needs to choose a reliable routing protocol. Besides, an encryption algorithm is needed to secure data to be conveyed through the unfriendly atmosphere while acting as a terminal. We have implemented Elliptic Curve Cryptography (ECC) along with Adhoc On Demand Multipath Distance Vector (AOMDV) routing protocol to secure data transmission against blackhole attack in a MANET. ECC, a public key cryptography that works on discrete logarithm problem with a much smaller key size, has been used to encrypt data packets at source node before transmission. We have used AOMDV, a reliable routing protocol compared to its parent protocol, Adhoc On Demand Distance Vector (AODV), with a multipath extension, for routing. The encrypted packets transferring between nodes via AOMDV, has been proved secured against blackhole attack. The performance of the secured protocol has been analyzed in terms of different performance metrics and in terms of varying number of blackhole attacker nodes.
Volume: 8
Issue: 6
Page: 4412-4422
Publish at: 2018-12-01

Smart Microwave Oven with Image Classification and Temperature Recommendation Algorithm

10.11591/ijece.v8i6.pp4239-4252
Tareq Khan
When food is warmed in a microwave oven, the user guesses the estimated time for the heating. This cognitive process of guessing can be incorrect - resulting the final food temperature to be too hot or still cold. In this research, a novel closed-loop microwave oven is designed which automatically suggests the target temperature of a food by learning from previous experiences and the heating stops automatically when the food temperature reaches the target temperature. The proposed microwave captures and classifies the food image, and recommends the target temperature, thus the user does not need to remember the target food temperature each time the same food is warmed. The algorithm gradually learns the type of foods that are used in that household and becomes smarter in the recommendation. The proposed algorithm can recommend target temperature with an accuracy of 86.31% for solid food and 100% for liquid food. A prototype of the proposed microwave is developed using the embedded system and tested.
Volume: 8
Issue: 6
Page: 4239-4252
Publish at: 2018-12-01

An Analytical Approach for Design of Microstrip Patch (MsP)

10.11591/ijece.v8i6.pp4175-4183
R. J. Kavitha , H. S. Aravind
A reliable configuration of electromagnetic interactions for antenna design can yield an effective Microstrip patch (MsP) antenna. During its design, the antenna arrays involve issues with parameters (i.e., space, dimension, shape) adjustment. This problem can be tackled with an analytical approach which can help to bring better idea to design the antenna aaray. However, the realistic designs of antenna array are quite expensive while extracting computational accuracy. Thus, to have low cost computational accuracy various meta-heuristic (generic algorithm, partical swarm optimizarion) approaches are used and are considered as effective one in handling the pattern synthesis problems. Howeever, the use of meta-heuristic approaches demands thousands of functions to analyze the antenna design. This manuscript introduces an analytical approach for MsP antenna desing using MATLAB that brings optimization in handling the side lobes and optimizing the reflection as well as radiation responses. The outcomes of the design were analyzed with respect to reflection, radiation coefficients, side lobes and found effective at 10GHz as per computational cost is concern.
Volume: 8
Issue: 6
Page: 4175-4183
Publish at: 2018-12-01

Complaint Analysis in Indonesian Language Using WPKE and RAKE Algorithm

10.11591/ijece.v8i6.pp5311-5317
Rini Wongso , Novita Hanafiah , Jaka Hartanto , Alexander Kevin , Charles Sutanto , Fiona Kesuma
Social media provides convenience in communicating and can present two-way communication that allows companies to interact with their customer. Companies can use information obtained from social media to analyze how the communities respond to their services or products. The biggest challenge in processing information in social media like Twitter, is the unstructured sentences which could lead to incorrect text processing. However, this information is very important for companies’ survival. In this research, we proposed a method to extract keywords from tweets in Indonesian language, WPKE. We compared it with RAKE, an algorithm that is language independent and usually used for keyword extraction. Finally, we develop a method to do clustering to groups the topics of complaints with data set obtained from Twitter using the “komplain” hashtag. Our method can obtain the accuracy of 72.92% while RAKE can only obtain 35.42%.
Volume: 8
Issue: 6
Page: 5311-5317
Publish at: 2018-12-01
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