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Effectiveness of the use of electronic educational blogs in teaching computers on the achievement of students

10.11591/ijeecs.v17.i1.pp489-499
Abdul Munem Hasan Ahmed Ali
The purpose of this research was to know the effectiveness of using educational blogs in teaching computers on the achievement of students in the second year in the College of Education and retention of information. The researcher used the semi-experimental method. The sample of research consisted of (36) students in the second year in the department of Biology, the College of Education at the University of Samarra has been divided into two groups, one of which consists of (18) students which has been considered as control group and has been studied using the classical method, and the experimental group which consisted of 18 students studied using the educational blog. Both groups (experimental and control) were similar in number and equal in the number of variables that could affect the safety of experimental design of the research. The researcher choose Chapter 4 of (Microsoft PowerPoint 2010) and Chapter 5 (Inserting Objects and Adding Movements in Microsoft PowerPoint 2010) from Computer Basics Part 2, which is taught to students of the second stage at the College of Education / University of Samarra, the researcher used the test of achievement in the computer material, prepared by the researcher consists of (50) paragraphs of the multiple choice, and to test the validity of assumptions used researcher statistical packages program (SPSS).
Volume: 17
Issue: 1
Page: 489-499
Publish at: 2020-01-01

Photovoltaic-integrated review and expansion need in green building landscape for bridging the malaysian RE policy

10.11591/ijeecs.v17.i1.pp27-35
Mohd Effendi Amran , Mohd Nabil Muhtazaruddin , Nurul Aini Bani , Sharipah Alwiah Syed Abd Rahaman , Nelidya Md Yusoff , Mohd Hanapi Azizul , Firdaus Muhammad-Sukki
A literature review is presented specifically on the photovoltaic (PV) as a distributed generation (DG) integration approach and the extensiveness through renewable energy (RE) assessment criteria in current green building rating system (GBRS) to: delineate for further classification in terms of installed-capacity; identify the RE applications’ intent / aim; and recommendation for PV-type DG (PV-DG) expansion needs. The paper aims to close the gap in knowledge, by an empirical review of current RE assessment criteria and to portray the expected evolution of RE for higher installed-capacity in ensuring the government key achievement can be achieved. In considering the expansion needs in GBRS, the optimal technique for PV-DG expansion-limit would serve as a conceptual bridge between expanding mechanism and realization of the Malaysian most recent RE policy specifically on the drastically increment of RE quota. These can be achieved since various DG optimization case studies have been presented and overcome with the improvement impact on the test system, in term of power loss reduction, increased efficiency and optimal cost outcome. Future analysis as well as research direction are proposed and linked with some of the previous optimization reviews in recent literature.
Volume: 17
Issue: 1
Page: 27-35
Publish at: 2020-01-01

Generating images of partial face using landmark based k-nearest neighbor

10.11591/ijeecs.v17.i1.pp420-428
Israa Hadi , Alyaa Mahdi
One of the most common approaches to address the partial face recognition challenge is to crop the full face image into segments. The problem is how the full face image must be cropped in a uniform way to generate informative segments. The un-blindly strategy was applied in this paper to generate informative segments, it depends on localizing the facial landmarks and selecting the more informative facial points as a key points, as more as the k-nearest neighbor concept was explored to select the k nearest landmark points to the key points. Two landmark localization techniques were experimented, the suitable technique  resulted in segments which are overlapped due to the supervised clustering technique that explored in this paper to cover important biometric face regions, not repeated and covered most probabilities in which it is possible to distinguish the query face from the available part of it.
Volume: 17
Issue: 1
Page: 420-428
Publish at: 2020-01-01

A fuzzy based vertical handover network selection scheme for device-to-device communication

10.11591/ijeecs.v17.i1.pp324-330
Meenakshi Subramani , Vinoth Babu Kumaravelu
One of the most attractive and challenging areas in the upcoming next-generation 5G wirelessnetworkistheverticalhandover(VHO).Recently,manyoftheheterogeneous wireless communication technologies are introduced to satisfy the demands of users in all situations. Due to the deployment of heterogeneous networks, the users can access the internet anywhere, anytime through different wireless networks. To obtain seamless service and service continuity, the device should be handed over to the best wireless networks. Here, a half handover scheme for Device-to-Device (D2D) communication is implemented for the selection of the best network. The target network selection for vertical handover can be handled using multiple attribute decision making (MADM) methods. An intelligent and fast vertical handover decision is much needed, which should be reliable even for random and uncertain environments. Fuzzy logic is proved to be effective in handling imprecise data. Hence, in this work, the impact of combining fuzzy with the conventional MADM scheme, simple additive weighting(SAW)isanalyzedandthehybridschemeiscomparedwiththeconventional MADM schemes like SAW, Techniques for order preference by similarity to ideal solution (TOPSIS), VlseKriterijumska optimizacija I Kompromisno Resenje (VIKOR) in terms of handover decision delay. Since, the numbers of handovers executed are low,thehandoverdecisiondelayperformanceoftheproposedschemeissuperiorthan the considered classical MADM schemes.
Volume: 17
Issue: 1
Page: 324-330
Publish at: 2020-01-01

Design, analysis and fabrication of utm hydraulic ram pump for water supply in remote areas

10.11591/ijeecs.v17.i1.pp213-221
S. Sarip , A. Q Mohd Radzi , T. S. Hong , R. Mohammad , M. F. Yakub , M. A. Suhot , H. M. Kaidi
This paper focuses on design, analysis and fabrication of hydraulic ram pump, which uses the force of gravity to deliver water to higher altitudes. It does not depend on electrical and fossil energy and robust, inexpensive, easy to install and maintain. All these qualities make it suitable for use in remote areas where water and electricity supply, especially in developing countries. The aim of this study is to construct a low cost UTM hydraulic ram pump for water supply in remote areas, provided that it must have a reliable design and made of materials available locally in Malaysia. The design must also be easy to assemble and dismantle, easy to maintain and durable with a long service life. In order to achieve these objectives, existing ram pump designs by other researchers were studied to provide the basics in designing the UTM hydraulic ram pump. The ram pump efficiency is 62%, based on drive pipe diameter of 3” and air chamber volume of 33.3 L. Referring to the guidelines and experimental data these design specifications allow a total of 7000 L/day (4.86 L/min) of water to be delivered to the storage tank. The power required is about 23.9 kW which is enough to overcome head losses of about 54.52 m. Through a test stand, the value of circulations is 49 cycle/minute and thus the overall performance of the ram pump can be calculated before installation in remote areas. Other factors such as the proper material selection and safety considerations were also prioritized.
Volume: 17
Issue: 1
Page: 213-221
Publish at: 2020-01-01

Prediction of solar irradiance using grey wolf Optimizer-Least-Square support vector machine

10.11591/ijeecs.v17.i1.pp10-17
Zuhaila Mat Yasin , Nur Ashida Salim , Nur Fadilah Ab Aziz , Hasmaini Mohamad , Norfishah Ab Wahab
Prediction of solar irradiance is important for minimizing energy costs and providing high power quality in a photovoltaic (PV) system. This paper proposes a new technique for prediction of hourly-ahead solar irradiance namely Grey Wolf Optimizer- Least-Square Support Vector Machine (GWO-LSSVM). Least Squares Support Vector Machine (LSSVM) has strong ability to learn a complex nonlinear problems. In GWO-LSSVM, the parameters of LSSVM are optimized using Grey Wolf Optimizer (GWO). GWO algorithm is derived based on the hierarchy of leadership and the grey wolf hunting mechanism in nature. The main step of the grey wolf hunting mechanism are hunting, searching, encircling, and attacking the prey. The model has four input vectors: time, relative humidity, wind speed and ambient temperature. Mean Absolute Performance Error (MAPE) is used to measure the prediction performance. Comparative study also carried out using LSSVM and Particle Swarm Optimizer-Least Square Support Vector Machine (PSO-LSSVM). The results showed that GWO-LSSVM predicts more accurate than other techniques. 
Volume: 17
Issue: 1
Page: 10-17
Publish at: 2020-01-01

Artificial neural network based technique for energy management prediction

10.11591/ijeecs.v17.i1.pp94-101
N. Ab. Wahab , Z. Mat Yasin , N. A. Salim , N. F. A. Aziz
The energy management of electrical machine is significant to ensure efficient power consumption. Mismanagement of energy consumption could give impact on low efficiency of energy consumption that leads to power wastage.  This paper presents analysis of power consumption and electricity costing of the electrical machineries and equipment in High Voltage (HV) and Electrical Machine (EM) Laboratories at Faculty of Electrical Engineering (FKE), Universiti Teknologi MARA (UiTM) Shah Alam, Selangor, Malaysia. The electrical data are collected using Fluke Meter 1750. Based on the analysis, it is found that the estimated annually electricity cost for HV Laboratory and EM Laboratory are RM 392.00 and RM 3197.76 respectively. For prediction of energy consumption of the two laboratories, Artificial Neural Network (ANN) algorithm is applied as computational tool using feedforward network type. The results show that the ANN is successfully modelled to predict the energy consumption.
Volume: 17
Issue: 1
Page: 94-101
Publish at: 2020-01-01

Author identification for Under-Resourced language (KadazanDusun)

10.11591/ijeecs.v17.i1.pp248-255
Nursyahirah Tarmizi , Suhaila Saee , Dayang Hanani Abang Ibrahim
This paper presents the task of Author Identification for KadazanDusun language by using tweets as the source of data to perform Author Identification task of short text on KadazanDusun, which is considered as one the under-resourced language in Malaysia. The aim of this paper is to demonstrate Author Identification of short text on KadazanDusun. Besides, this paper also examines the performance of two machine learning algorithms on the KadazanDusun data set by analyzing the stylometric features. Stylometric features are used to quantify the writing styles of the authors which includes character n-grams and word n-grams. The workflow of Author Identification implements the machine learning approach to solve the single-labelled multi-class problem and predict the author of a given message in KadazanDusun. Two classifiers are used to compare the accuracy including Naïve Bayes and Support Vector Machine (SVM). The results show that the combination of n-grams which is word-level unigram and {1-5}-grams with character 3-grams are the most relevant stylometric features in identifying the author of KadazanDusun message with an accuracy of 80.17%. The results also show that SVM classifier has outperformed Naive Bayes in this Author Identification task with the accuracy of 80.17%.
Volume: 17
Issue: 1
Page: 248-255
Publish at: 2020-01-01

A Ku-Band SIW six-port

10.11591/ijeecs.v17.i1.pp273-280
Tan Gan Siang , Siti Zuraidah Ibrahim , Mohd Nazri A. Karim , Aliya A. Dewani , Mohammad Shahrazel Razalli
This paper shows a compact fully integrated six-port Substrate Integrated Waveguide (SIW) operating at Ku-Band frequency range. The SIW six-port is formed by combining two SIW power dividers and two SIW couplers, having the benefit of no additional termination is required as this topology has no excessive port. To achieve the optimized design of the six-port, both of the key components; power divider and coupler are primarily designed, fabricated, and measured individually. Y-junction topology is employed on the power divider structure to achieve a compact size. In turn, the coupling coefficient of the two output ports of the SIW coupler are improved by shifting the position of a row of several vias located at the side wall center closer to the side wall. The simulated six port performance provides an advantage of wide bandwidth within Ku-Band across 13 to 17 GHz with a return loss better than 12 dB and transmission coefficient of 7±1.5 dB. The simulated and measured results show good agreement thus validating the prototype. The SIW six-port can find its application in designing a six-port.
Volume: 17
Issue: 1
Page: 273-280
Publish at: 2020-01-01

A light weight encryption over big data in information stockpiling on cloud

10.11591/ijeecs.v17.i1.pp389-397
Uma Narayanan , Varghese Paul , Shelbi Joseph
Data is growing exponentially in the fast Changing World of Information and Communications Technology. Information from sensors, cell phones, social networking sites, logical information and ventures all are adding to this gigantic blast in the information. One of the best mainstream utilities available for dealing with the colossal measure of data is the Hadoop community. Enterprises are progressively depending on Hadoop for preparing their essential information. In any case, Hadoop is still developing. There is much powerlessness found in Hadoop, which can scrutinize the security of the sensitive data that undertakings have entrusted on it. In this paper, security issues related to the system have been discussed. Besides, we have attempted to give a short overview of the currently accessible arrangements and their constraints. Towards the end, a novel strategy, which can be utilized to kill the detected vulnerabilities in the structure, has been introduced. In the cutting edge period, data security has moved towards becoming a basic need for every single person. Be that as it may, not every person can bear the cost of the specific circulations given by various sellers to their Hadoop group. This paper displays an effective system that anybody can use with their Hadoop to secure Data.
Volume: 17
Issue: 1
Page: 389-397
Publish at: 2020-01-01

Ontology model for intake suggestion and preparation for malay confinement dietary recipes

10.11591/ijeecs.v17.i1.pp481-488
M. Hamiz , Haryani Haron , M. Bakri , Nur Liyana Mohd Lazim
This paper presents the ontology model for Malay Confinement Dietary (MCD) recipes which include the intake suggestion and its preparation. MCD plays a big role to ensure that mothers in confinement get the right nutrient in order to restore back their health. In the current research on MCD, the covered part is only on what are the foods allowed to be taken by mothers during confinement and the nutrients that it can boost in mothers’ body. However, it does not include what are the preparation methods of the food and what is the suggested intake time for that dish. These two aspects could give the certainty factor for mothers to get the sufficient nutrient during confinement. But those knowledges are known by the traditional Malay midwives. Hence, this tacit knowledge should be modeled into an ontology model as one of the knowledge preservation methods. Three new classes together with four new object properties were added to the current model and based on testing that has been done, the extended new model of ontology could retrieve the correct information as needed.
Volume: 17
Issue: 1
Page: 481-488
Publish at: 2020-01-01

Web usability test in 60 seconds: a theoretical foundation and empirical test

10.11591/ijeecs.v17.i1.pp398-403
Imran Mahmud , Mostafijur Rahman , Sharmin Ahmed , Didarul Islam
The aim of this research is to explore the possibility of web usability test in 60 seconds rather than unlimited time by customers.  Usability was tested by two major testing methods: system usability scale (SUS) and NetQu@l.  60 customers as two groups were involved in the experimental design procedure. The assessment included an online shopping website where one group tested in 60 seconds and other group had 3 days to test.  Result shows that there are significance differences in SUS based testing and no significant differences in NetQu@l based testing. Altogether, these results provide further support that SUS based usability testing can be implemented in 60 seconds time frame without imposing additional cognitive load on customers.
Volume: 17
Issue: 1
Page: 398-403
Publish at: 2020-01-01

Intelligent based technique for under voltage load shedding in power transmission systems

10.11591/ijeecs.v17.i1.pp110-117
Saiful Firdaus Abd Shukor , Ismail Musirin , Zulkifli Abd Hamid , Mohamad Khairuzzaman Mohamad Zamani , Mohamed Zellagui , Hadi Suyono
The increasing demand of electric power energy and the presence of disturbances can be identified as the factors of voltage instability condition in a power system. A secure and reliable power system should be considered to ensure smooth delivery of electricity to the consumers. A power system may experience undesired event such as voltage instability condition leading to voltage collapse or cascading collapse if the system experiences lack of reactive power support. Thus, to avoid blackout and cascaded tripping, load shedding is the last resort to prevent a total damage. Under Voltage Load Shedding (UVLS) scheme is one of the possible methods which can be conducted by thepower system operators to avoid the occurrence of voltage instability condition. This paper presents the intelligent based technique for under voltage load shedding in power transmission systems. In this study, a computational based technique is developed in solving problem related to UVLS. The integration between a known computational intelligence-based technique termed as Evolutionary Programming (EP) with the under-voltage load shedding algorithm has been able to maintain the system operated within the acceptable voltage limit. Loss and minimum voltage control as the objective function implemented on the IEEE 30-Bus Reliability Test System (RTS) managed to optimally identify the optimal location and sizing for the load shedding scheme. Results from the studies, clearly indicate the feasibility of EP for load shedding scheme in loss and minimum voltage control in power system.
Volume: 17
Issue: 1
Page: 110-117
Publish at: 2020-01-01

Factors influencing cloud computing adoption in higher education institution

10.11591/ijeecs.v17.i1.pp412-419
Wan Abdul Rahim Wan Mohd Isa , Ahmad Iqbal Hakim Suhaimi , Nurulhuda Noordin , Afdallyna Fathiyah Harun , Juhaida Ismail , Rosshidayu Awang Teh
There are few studies on factors influencing cloud computing adoption in higher education institutions. However, there are lacks of understanding of the cloud computing adoption issues in the university. The main objective of this study is to investigate factors influencing cloud computing adoption in a higher education institution. The research method involved using qualitative interviewing with relevant stakeholders and case study at one public university in Malaysia. The analysis was done by using Atlat.ti. There are eighteen factors that have been coded into three main categories of Technological, Organizational and Environmental. These are among factors to influence the decision of cloud computing adoption for a public university. The first category (Technological) consists of nine factors; (i) relative advantage, (ii) cost reduction, (iii) ease of use, (iv) compatibility, (v) operational requirement, (vi) security, (vii) sustainability, (viii) trialability and (ix) complexity, The second category (organizational) consists of four factors; (i) infrastructure readiness, (ii) top management, (iii) knowledge and IT skillset and (iv) financial. The third category (environmental) consists of five factors; (i) Cloud Service Provider, (ii) Geographical, (iii) Data Privacy, (iv) Guideline and Policy, (v) Service Level Agreement (SLA). The result may provide a reference for the adoption of cloud computing in the area of mobile learning or mobile computing. Future work involves conducting similar studies at other case studies including public and private universities in Malaysia.
Volume: 17
Issue: 1
Page: 412-419
Publish at: 2020-01-01

Effect of increasing the network capacity using device-to-device technology for next generation networks

10.11591/ijeecs.v17.i1.pp303-309
Aws Zuheer Yonis
Device-to-device (D2D) communication is one of the key technologies in the fifth generation of wireless communication systems, which is defined as direct communication between two mobile users without traversing the base station D2D communication plays an increasingly important role and which improves communication capability and reduces communication delay and power consumption. D2D communication that enables direct communication between nearby mobiles is an exciting and innovative feature of next-generation cellular networks. In order to meet the rising subscriber demands and provide them satisfactory services, D2D communication is being looked upon as an emerging technology of the next generation networks.
Volume: 17
Issue: 1
Page: 303-309
Publish at: 2020-01-01
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