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Requirements engineering for User-Centered school food ordering system

10.11591/ijeecs.v17.i1.pp357-364
Diyana Binti Halim Khoo , Afdallyna Fathiyah Harun , Saiful Izwan Suliman
Understanding user requirement for a technology design is central to user experience. A user-centered technology design should consider user needs and constraints as well as abide to the principles of HCI design heuristics. This paper describes the requirements gathering for Kantin Online System, a school food ordering system where we considered the needs and constraints of different stakeholders involved and elicit a compromise where the needs of all parties can be met. We then applied usability heuristics into the system design to facilitate perceived ease of use and perceived usefulness. We conclude this paper with experts’ evaluations towards the heuristic elements of the system design concept and possible future work.
Volume: 17
Issue: 1
Page: 357-364
Publish at: 2020-01-01

Power quality improvement using dynamic voltage restorer in electrical distribution system: an overview

10.11591/ijeecs.v17.i1.pp86-93
Ali Basim Mohammed , Mohd Aifaa Mohd Ariff , Sofia Najwa Ramli
This paper represents a review of the dynamic voltage restorer for power quality improvement in the electrical distribution system. Over the past 50 years, issues concerning power quality have steadily increased, to prevent the effect of the voltage disturbances, some of the devices are put as a solution to these problems such as distribution static compensator (D- STATCOM), solid-state transformer (SST), uninterruptible power supply (UPS), dynamic voltage restorer (DVR). The DVR is one of the economic solutions to overcome the voltage disturbances like voltage sag/swell and harmonics. It is widely used to mitigate the voltage disturbances in the power distribution system, especially in the medium and low distribution networks. This paper aims to review the implementation of the DVR in the system integrated with renewable energy resources. This is important because the future of electricity business is moving towards renewable energy and also provides a thorough discussion of the typical components, controllers, compensation methods, and the application of DVR. The extensive review of the technology aims to ease and speed up the development and the advancement of the DVR in the near future.
Volume: 17
Issue: 1
Page: 86-93
Publish at: 2020-01-01

Qualnet performances of grid-based clustering For WSN's routing protocols

10.11591/ijeecs.v17.i1.pp448-456
Nahidah Hussein Ismail , Basheer Yousif Mohsin
The wireless sensor networks (WSNs) believed to be as a hot research area due to their ranges in various fields of applications. Clustering is the more efficient techniques considered to resolve the problems of energy consumption in WSNs. The clustering has assured its effectiveness, specifically with high dynamic networks at which all nodes are represented in the clustering and all the data value can be collecting by sensor nodes with a cluster head (CH). The energy consumption as well as network traffic are balancing, the (CH) must be exchanged between all sensor nodes and the clustering size could be closely determined at various portions of the network. The key point at issue in WSN is to improve the energy-efficient algorithms with Grid based clustering for extending the lifetime of the networks, reducing cost, in addition to increasing the reliability of the network. The sensor nodes prepared with a power sources at limited period, so that the Grid Based Clustering algorithm (GBC) which efficiently employing sensor nodes energy have the ability to preserve an extended network lifetime. Sensor node Performances of the network mainly depend on the routing protocols, which are application based, four routing protocols LEACH, OLSR, AODV, and DSR in clustering WSN are estimated with Qualnet simulator. The results demonstrate that DSR outperforms in term of throughput, and end to end delay which compared to others while OLSR have highest value of half number of alive nodes per round.
Volume: 17
Issue: 1
Page: 448-456
Publish at: 2020-01-01

Optimization performance management with FCAPS and ITILv3: opportunities and obstacles

10.11591/ijeecs.v17.i1.pp281-290
Adityas Widjajarto , Muharman Lubis , M. K. Rizal Syahputra
With the need for rapidly growing network services each year; the factors of reliability, availability and quality become extremely critical for organizations, groups, institutions and governments to have in the network services implementation. In this case, several rural governments requires the improvement of its network performance management in establishing their internal and external operation to align with the grand design by the central government in improving citizen’s satisfaction through public service. Testing was done using scenarios for output analysis and packet loss as parameters. The results of the proposed topology obtained a productivity of 541.43 Kbps and a packet loss of 0.07%. While the current topology gets a rate of 421.28 Kbps and packet loss of 0.22%. It can be concluded that the proposed topology is still better than the current topology. The optimization of performance management is based on the FCAPS method which emphasize in the performance monitoring and data analysis with the support of ITILv3 that contains documentation and policy guidance to conduct quality performance management. In addition, performance management activities will occur with processes in the design of ITIL services and existing conditions.
Volume: 17
Issue: 1
Page: 281-290
Publish at: 2020-01-01

Liquefied petroleum gas monitoring and leakage detection system using nodemcu ESP8266 and wi-fi technology

10.11591/ijeecs.v17.i1.pp166-174
Suzi Seroja Binti Sarnin , Divine Senanu Ametefe , Nani Fadzlina Naim , Wan Norsyafizan Wan Mohamad , Norlela Ishak , Norfishah Ab Wahab , Norsuzila Ya’acob
Liquefied Petroleum Gas which is popularly known as LPG is a clean source of energy which is highly flammable and usually compressed into storage tanks. Due to the flammable nature of LPG it can easily lead to uncontrollable explosions in the presence of any ignition action or may lead to complete depletion of oxygen in a particular area. This study is focused on the fabrication of a system that would detect, monitor and control LPG gas leakages for domestic gas cylinders. A MQ-2 gas sensor was used for the detection of LPG gas leakages, the monitoring aspect was satisfied locally through notifications triggered by LEDs, piezo buzzer and remotely through the use of an application known as Blynk. The control aspect was implemented with the use of a stepper motor which turns off gas cylinder regulators whenever gas concentrations are high. All operations are primary hinged on the NodeMCU ESP8266 controller and Wi-Fi communication technology. 
Volume: 17
Issue: 1
Page: 166-174
Publish at: 2020-01-01

Energy consumption prediction through linear and non-linear baseline energy model

10.11591/ijeecs.v17.i1.pp102-109
Rijalul Fahmi Mustapa , NY Dahlan , Ihsan Mohd Yassin , Atiqah Hamizah Mohd Nordin , Azlee Zabidi
Accurate baseline energy models demand increase significantly as it lower the risk of energy savings quantification. It is achieved by performing energy consumption prediction with its respective independent variables through linear or non-linear modelling technique. Developing such model through linear modelling technique provide certain disadvantages due to the fact that the behavior of certain independent variables with respect to the energy consumption is non-linear in nature. Furthermore, linear modelling technique requires prior studies upon modelling to achieve accurate energy consumption prediction. Thus, to apprehend this situation, this paper main intention is to perform energy consumption prediction through a non-linear modelling technique to provide alternative option for developing a good and accurate baseline energy models. This study proposes energy consumption prediction based on Non-linear Auto Regressive with Exogenous Input – Artificial Neural Network (NARX-ANN) as a non-linear modelling technique that will be compared with Multiple Linear Regression Model (MLR) as linear modelling technique. A case study in Malaysian educational buildings during lecture week will be used for this purpose. The results demonstrate that NARX-ANN shows a higher accuracy through statistical error measurement.
Volume: 17
Issue: 1
Page: 102-109
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

Performance comparison of multicast MANET CRN system’s based on POS scheme with different types of router protocol algorithms

10.11591/ijeecs.v17.i1.pp291-302
Basma Nazar Nadhim , Sarab Kamal Mahmood
A multi-layer multi-hop mechanism, with one of three different types of router protocol algorithms (Steiner minimal tree (SMT), shortest path tree (SPT) and minimal spanning tree (MST)) was employed for the construction of multi-cast MANET CRNs. The probability of success (POS) used as the channel assignment scheme, is dependent on the availability of the channel, and the required transmission time. It was applied to the network after the conversion of the network’s random topology into one of the three algorithms (SMT, SPT or MST). This facilitated the selection of an efficient channel for the transmission of the CR user’s data, under the effect of the Rayleigh fading channel. Three idle probability circumstances (i.e., =0.1, 0.5, 0.9), and different network parameters, were used to compare the  performance of the CRN with three routing protocols in terms of throughput, and packet delivery rate (PDR). According to the simulation results, for a high traffic load of PUs ( 1) at different network parameters , the CRN with the SPT algorithm performed better than the CRN with the SMT or MST algorithm. 
Volume: 17
Issue: 1
Page: 291-302
Publish at: 2020-01-01

Design and development of activity attendance monitoring system based on RFID

10.11591/ijeecs.v17.i1.pp500-507
Ray Adderley Jm Gining , S.S.M. Fauzi , I.M. Ayub , M.N.F. Jamaluddin , Ira Puspitasari , Okfalisa Okfalisa
Attending activities organized by the university or institution is one of the important criteria that must be fulfilled by students for multiple purposes. Whether it is by attending classes, or any other activities, the main concern is focused on the process of recording students’ attendance. The use of a paper-based manual system to record students’ attendance is still being widely used due to the lack of an e-management system. These approaches have a lot of disadvantages due to the nature of the paper which is a fragile material - also an expensive cost to procure and produce. This paper, relying on Radio Frequency Identification (RFID), designed and developed an electronic system known as Activity Attendance Monitoring System (AAMS) that utilizes readily available resource – student card, as the student identification when attending an activity. Results from the validation, execution and continuous test suggest that AAMS can be effectively implemented to monitor and record student’s attendance. The main contribution of the study is the design and development model that capable of monitoring students’ activity attendance in university activities context. Developers and researcher in the area can adopt the proposed design and development model in formulating a similar system in managing activity attendance.
Volume: 17
Issue: 1
Page: 500-507
Publish at: 2020-01-01

Electroencephalogram (EEG) stress analysis on alpha/beta ratio and theta/beta ratio

10.11591/ijeecs.v17.i1.pp175-182
Tee Yi Wen , Siti Armiza Mohd Aris
This paper presents an analysis of stress feature using the power ratio of frequency bands including Alpha to Beta and Theta to Beta. In this study, electroencephalography (EEG) acquisition tool was utilized to collect brain signals from 40 subjects and objectively reflected stress features induced by virtual reality (VR) technology. The EEG signals were analyzed using Welch’s fast Fourier transform (FFT) to extract power spectral density (PSD) features which represented the power of a signal distributed over a range of frequencies. Slow wave versus fast wave (SW/FW) of EEG has been studied to discriminate stress from resting baseline. The results showed the Alpha/Beta ratio and Theta/Beta ratio are negatively correlated with stress and indicated that the power ratios can discriminate the data characteristics of brainwaves for stress assessment.
Volume: 17
Issue: 1
Page: 175-182
Publish at: 2020-01-01

Course recommendation system using fuzzy logic approach

10.11591/ijeecs.v17.i1.pp365-371
Mohd Suffian Sulaiman , Amylia Ahamad Tamizi , Mohd Razif Shamsudin , Azri Azmi
Course selection is a key for success in student’s academic path. In today’s education environment, various courses offered by different academic institutions required the students to explore the course outline manually. Most of them are lacking in knowledge, having dilemma and making blind selections to choose the right course. Therefore, it is essential to have a course recommendation to provide guidance to a student to choose the course related with their interest and skill. This paper proposed to develop a course recommendation system using fuzzy logic approach. The development methodology of this system involves several phases include requirements planning, user design and construction for prototyping, testing and cutover. This study used the fuzzy rules technique in order to calculate each associated student’s skill and interest level based on Mamdani fuzzy inference system method. Then, the rules will generate final outcome which recommend the suitable course path and provide the details to a user based on their course test. The result shows the functionality of this system has been achieved and works well. This study is significantly helping the students to choose their course based on the interest and skill.
Volume: 17
Issue: 1
Page: 365-371
Publish at: 2020-01-01

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
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