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Exploration on digital marketing as business strategy model among Malaysian entrepreneurs via neurocomputing

10.11591/ijai.v9.i1.pp18-24
Hazrita Ab Rahim , Shafaf Ibrahim , Saadi Bin Ahmad Kamaruddin , Nor Azura Md. Ghani , Ismail Musirin
Artificial Intelligence is great when it comes to routine activities and vast amounts of data are analyzed. This can be done more quickly and efficiently than men. In the world of digital marketing, Artificial Intelligence is quickly coming into play. With Artificial Intelligence joining the digital marketing environment, predicting user behavior, search cycles, and much more will be easier. This can support websites that are highly user-friendly for organizations. Moreover, with the aid of Artificial Intelligence, content creation has become a faster and easier task for brands. Practically, a company's degree of enterprise marketing can have an effect on its overall business efficiency. Entrepreneurial marketing is driven by entrepreneurial opportunities which involves the proactive identification and exploitation of opportunities for acquiring and retaining profitable customers through Digital approaches to risk management, resource leveraging and value creation. This research was done by collecting data using semi structure questionnaire distributed to 169 start up owners in Klang Valley area. Using two-layer 6-3-1 with hyperbolic tangent-purelin configurations neural network model, it was found that proactiveness, risk taking, resource leveraging, opportunity focus, intensity and value add are the significant factors towards digital marketing respectively. It is expected that the findings would give some inputs to the Malaysian entrepreneurs on innovative digital marketing in their businesses, regardless the sizes.
Volume: 9
Issue: 1
Page: 18-24
Publish at: 2020-03-01

Sensorless DTC of IPMSM for embedded systems

10.11591/ijpeds.v11.i1.pp86-96
Terras Tahar , Hatani Kada
The aim of this paper is to describe the sensorless control of interior permanent magnet synchronous motor (IPMSM) for electric vehicle (EV) using the Model Reference Adaptive System (MRAS) method for speed estimation. The algorithm of this method has been adapted with the mathematical model of the motorized wheels electric vehicle. The command used is the DTC. High performance sensorless drive of the in-wheel motor based on MRAS for electric vehicle and the whole system is simulated by Matlab/Simulink. The simulation results show the effectiveness of this proposed sensorless control strategy which is extensively used in electric vehicle application.
Volume: 11
Issue: 1
Page: 86-96
Publish at: 2020-03-01

Design and development for detection and prevention of ATM skimming frauds

10.11591/ijeecs.v17.i3.pp1224-1231
Sultan Saleem Khalaf Al Hattali , Shaik Mazhar Hussain , Anilloy Frank
ATM Skimming is a major concern that needs to be addressed with a specific solution. ATM Skimming is done in two steps. One is stealing the Personal Information that is stored on the Debit card / Credit card using Rain cover connected to the card reader slot (ATM’s real card slot). The second is installing a Fake keypad that can capture the pin code when the card holder enters pin details. Few researchers have proposed solutions to address the issue using Image Processing techniques. However, it does not provide a complete solution in a long term. Hence it is of paramount importance to provide ATM with high security features. In order to solve the issue of ATM Skimming, An Embedded System design is proposed. The research is carried out in two phases. One is detection phase and the second is Prevention Phase. In the detection phase, Hardware components such as Arduino Mega, Force Sensing Resistor (FSR), GPS, GSM and Buzzer are used. Arduino Mega acts as a Central Processor that processes the information received from Force sensing resistor (FSR) and send SMS Messages to ROP and Bank Officials using GSM and informing them about the ATM Location using GPS where the Fraud is taking place. Buzzer can be used at the ATM Locations to alert nearby people. In the prevention Phase, as a preventive measure a Onetime password (OTP) technique is used. If a fraudster somehow succeeds in Fixing fake key pad and Rain Cover at ATM’s real card slot, When he tries to insert debit card, An OTP will be generated and is sent to the Card Holder which in turn he can know someone is trying to make Transactions and quickly he can ask bank officials to Block his account and inform ROP about the same. Expected findings of the proposed work is to detect  Fake keypads and Fake card readers using FSR placed at the edges of Original Keypad and card reader slot. Sending messages to ROP, BANK OFFICIALS and CARD HOLDER using GSM. ATM locations are identified using GPS. Buzzers are used to alert nearby people.
Volume: 17
Issue: 3
Page: 1224-1231
Publish at: 2020-03-01

Independent high voltage DC source development for renewable-grid integration interface

10.11591/ijpeds.v11.i1.pp374-381
Omar Abu Hassan , Shamsul Aizam Zulkifli , Mohd Shamian Zainal , Ahmad Alabqari Ma' Radzi , Muhammad Shukri Ahmad , Tengku Nadzlin Tengku Ibrahim
Recent advancement in renewable-grid integration research, due to the concern on the environmental impact, leads to extensive study in isolated power converter as their interface. As part of isolation capability in power converter interface, extensive study of magnetic component has been carried out, especially on the design, construction and optimisation to achieve optimal operation. One of the main issue in verifying the analytical power loss model is to have independent HVDC link power source for an experimental validation work. This paper focus on the design and construction of DC link source, to be use in the experimental rig setup. Several DC link source option has been evaluated, and TDK-lambda PF500-360A power supply was selected due to the availability and excellent energy efficiency offered, at better price. External circuit is designed and implemented to achieve desired voltage and current supply characteristic. At the end, the voltage and current of the DC link supply for Dual H-bridges is obtained and shown promising result for experimental rig measurement and data collection work.
Volume: 11
Issue: 1
Page: 374-381
Publish at: 2020-03-01

A review of available hybrid renewable energy systems in Malaysia

10.11591/ijpeds.v11.i1.pp433-441
Nur Huda. M Tambi , Hadi Nabipour Afrouzi , Kamyar Mehranzamir , Jubaer Ahmed
The utilization of conventional sources of energy releases harmful pollutants to the environment causing global warming and acid rain. For that reason, it becomes necessary to use a non-depletable, sustainable and eco-friendly renewable energy as a mean of producing electricity. Malaysia is tropical country rich in resources beneficial in electricity generation as it is in equatorial region therefore it has an abundance of solar irradiance of average annually. In addition, Malaysia’s demand in electricity is increasing to 124,677 GWh by 2020. Therefore, the electricity generation from renewable sources in Malaysia is anticipated to grow in the future alongside the government endorsement due to its clean, eco-friendly and free source of energy which can highly reduce the dependency on oil and gas that emits harmful pollutants to the environment. This paper gives a comprehensive review on the renewable projects and researches in Malaysia, challenges that affect popularity of renewable energy in Malaysia and available and successful renewable energy system in Malaysia.
Volume: 11
Issue: 1
Page: 433-441
Publish at: 2020-03-01

A rectangular CSRR based microstrip UHF reader patch antenna for RFID applications

10.11591/ijeecs.v17.i3.pp1434-1441
Syamimi Mohd Norzeli , Ismarani Ismail , Norashidah Md Din , Mohd Tarmizi Ali , Ali Abd Almisreb , Ammar Ahmed Alkahtani
This paper presents a compact microstrip ultra-high frequency (UHF) reader patch antenna with complementary split ring resonator (CSRR) for radio frequency identification (RFID). The total size of the antenna is 208 × 208 × 1.6 mm3. The proposed antenna is designed, fabricated and measured in order to verify the proposed concept. The characterization for radiation parameters, like return loss, radiation pattern and antenna gain have been done experimentally. The proposed antenna is operated at 921 MHz for and achieved a gain of 8.285 dBi. All simulations in this work have been carried out by means of the commercial computer simulation technology (CST) software. In compare to the simulated results, the measured outcomes are promised.
Volume: 17
Issue: 3
Page: 1434-1441
Publish at: 2020-03-01

Development of fall detection and activity recognition using threshold based method and neural network

10.11591/ijeecs.v17.i3.pp1338-1347
Sai Siong Jun , Hafiz Rashidi Ramli , Azura Che Soh , Noor Ain Kamsani , Raja Kamil Raja Ahmad , Siti Anom Ahmad , Asnor Juraiza Ishak
Falls are dangerous and contribute to over 80% of injury-related hospitalization especially amongst the elderly. Hence, fall detection is important for preventing severe injuries and accidental deaths. Meanwhile, recognizing human activity is important for monitoring health status and quality of life as it can be applied in geriatric care and healthcare in general. This research presents the development of a fall detection and human activity recognition system using Threshold Based Method (TBM) and Neural Network (NN). Intentional forward fall and six other activities of daily living (ADLs), which include running, jumping, walking, sitting, lying, and standing are performed by 15 healthy volunteers in a series of experiments. There are four important stages involved in fall detection and ADL recognition, which are signal filtering, segmentation, features extraction and classification. For classification, TBM achieved an accuracy of 98.41% and 95.40% for fall detection and activity recognition respectively whereas NN achieved an accuracy of 97.78% and 96.77% for fall detection and activity recognition respectively.
Volume: 17
Issue: 3
Page: 1338-1347
Publish at: 2020-03-01

Minimization of real power loss by enhanced teaching learning based optimization algorithm

10.11591/ijra.v9i1.pp1-5
K. Lenin
This paper presents an Enhanced Teaching-Learning-Based Optimization (ETLBO) algorithm for solving reactive power flow problem. Teaching-learning process is an iterative process where in the continuous interaction takes place for the transfer of knowledge. Movements of trial solutions will investigate the internally final stages. Up gradation of the algorithm has been done through by adding weight in the learner values. Projected ETLBO algorithm has been tested in standard IEEE 57,118 bus systems and power loss has been reduced efficiently.
Volume: 9
Issue: 1
Page: 1-5
Publish at: 2020-03-01

Discrete time reaching law based variable structure control for fast reaching with reduced chattering

10.11591/ijra.v9i1.pp51-61
Pournami Padmalatha , Susy Thomas
In this paper, a variable structure control law is proposed for discrete time sliding mode control so as to reduce both reaching time and quasi sliding mode band reduction. This new law is composed of two different sliding variable dynamics; one to achieve fast reaching and the other to counter its effect on widening the quasi sliding mode band. This is accomplished by introducing a boundary layer around the sliding surface about which the transformation of the sliding variable dynamics takes place. This provides the flexibility to choose the initial dynamics in such a way as to speed up the reaching phase and then at the boundary transform this dynamics to one that reduces the quasi sliding mode band. Thus, the law effectively coalesces the advantageous traits of hitherto proposed reaching laws that succeed in either the reduction of reaching phase or the elimination of quasi sliding mode band. The effectiveness of the proposed reaching law is validated through simulations.
Volume: 9
Issue: 1
Page: 51-61
Publish at: 2020-03-01

Artificial neural network forecasting performance with missing value imputations

10.11591/ijai.v9.i1.pp33-39
Nur Haizum Abd Rahman , Muhammad Hisyam Lee
This paper presents time series forecasting method in order to achieve high accuracy performance. In this study, the modern time series approach with the presence of missing values problem is developed. The artificial neural networks (ANNs) is used to forecast the future values with the missing value imputations methods used known as average, normal ratio and also the modified method. The results are validated by using mean absolute error (MAE) and root mean square error (RMSE). The result shown that by considering the right method in missing values problems can improved artificial neural network forecast accuracy. It is proven in both MAE and RMSE measurements as forecast improved from 8.75 to 4.56 and from 10.57 to 5.85 respectively. Thus, this study suggests by understanding the problem in time series data can produce accurate forecast and the correct decision making can be produced.
Volume: 9
Issue: 1
Page: 33-39
Publish at: 2020-03-01

Multi-objective optimization and linear buckling of serial chain of a medical robot tool for soft tissue surgery

10.11591/ijra.v9i1.pp17-25
Grzegorz Ilewicz , Andrzej Harlecki
The slender structures of a medical robot may have a tendency to buckling when a force equal to the critical Euler force and an additional disturbance will work on their structures. In this work, eigenvalue problem that describes the linear buckling is under consideration. The main goal of the article is to check when linear buckling phenomenon appears in construction of a medical robot with serial chain due to the fact that for safety reasons of a robot’s work, it is necessary to answer the question, whether the buckling may occur in the robot’s structure. For this purpose, a numerical calculation model was defined by using the finite element method. The values of load factor coefficients that are eigenvalue are determinated and also the eigenvectors that have shapes of deformation for the next eigenvalues are presented. The multi-criteria optimization model was determined to aim for the minimum mass of the effector and the buckling coefficient, from which the Euler force results, for the maximum. The solution was obtained on the basis of Pareto fronts and the MOGA genetic algorithm.
Volume: 9
Issue: 1
Page: 17-25
Publish at: 2020-03-01

Vehicle accident management and control system using MQTT

10.11591/ijaas.v9.i1.pp1-11
Sudha Senthilkumar , K. Brindha , Shashank Bhandari
The quick development of innovation has made our lives less demanding. Innovation has additionally expanded activity risks and street mishaps occur very often which cause tremendous death toll and damage to property on account of poor response from the people in charge of managing such incidents. The mishap recognition undertaking will give an ideal solution for this problem. An accelerometer or a Tilt Sensor can be used as part of an auto caution application with the goal that unsafe driving can be identified. It can be utilized as a crash or rollover finder of the vehicle amid and after a crash. With signals from a sensor, a serious situation because of an accident can be avoided or attended to at the earliest. At the point of time when a vehicle meets with an accident or an auto moves over, the tilt sensor recognizes the flag and promptly sends it to the microcontroller. The microcontroller sends the alarm message through the IoT Module including the location of the accident through the GPS Module to the police or control group by publishing it over the cloud. So, the crisis enable group can promptly follow the area through the GPS Module, subsequent to receiving and accepting the data. The area can likewise be seen on the Google maps. Vital move can be made if this data reaches the control group in time. This venture is valuable in recognizing the accident with the use of sensors. As a future execution, we can add a remote webcam to the current system in order to capture pictures of the scene of the accident.
Volume: 9
Issue: 1
Page: 1-11
Publish at: 2020-03-01

Lifelong learning tendencies of trainers in adult education

10.11591/ijere.v9i1.20365
Şener Şentürk , Volkan Duran
Life-long learning competencies, skills and attitudes are of having significance for education processes. The study was designed based on the correlational survey model. Population consists of 354 trainers in Public Education Centers in Samsun. In terms gender, there was a significant difference in lack of regulation and lack of curiosity dimension in favour of females in terms of lifelong learning tendencies. It was found that as the age level increases, the tendency to persistence which is the sub-factor of lifelong tendencies increases. It was found that as the level of education increases, persistence level decreases and regulation skill increases. No statistically significant difference was found between the mean scores of lifelong learning tendencies in terms of professional seniority variable and mode of their work. It was seen that the trainers who did not receive pedagodical formation had higher tendency in the fields of motivation and persistence. It was found that there was a significant difference in the sub-dimension of lack of regulation of learning according to the existance of any curriculum related to their field of study in favour of saying “no”.
Volume: 9
Issue: 1
Page: 1-9
Publish at: 2020-03-01

Design and development of soft robotic hand for vertical farming in spacecraft

10.11591/ijra.v9i1.pp6-16
Aswath Suresh , Ganesha Udupa , Dhruv Gaba
For colonization in deep space we need to explore the feasibility of a bioregenerative system in microgravity or artificial gravity environments. The process has various complexities form ranging to biological obstacles to engineering limitations of the spacecraft. Concentration of microbes in the confinements of a spacecraft can be fatal for the crew. In this paper, a solution to the elevated microbial levels by farming using robots is discussed. The soft robotic arm is made up of Asymmetric Flexible Pneumatic Actuator (AFPA). The AFPA under internal pressure will curve in the direction of the side having greater thickness as the expansion of the thinner side (outside radius) will be more than thicker side (inside radius) due to differential expansion and moment induced due to eccentricity. Simulation results demonstrate that bending based on AFPA can meet the designed requirement of application. The AFPA is used for five fingers of the robotic hand. The safe, soft touch and gentle motion of the bellow (AFPA) gives the feel of real human hand. The internal pressure of the AFPA is controlled using a solenoid valve which is interfaced using an Arduino microcontroller for hand like moves. The bending of the fingers and degree of freedom (DOF) of the joints of the hand is controlled using an IMU and flex sensor. Wireless connection of the hand and the control system is implemented using XBee pro 60mW with a range of 1 miles. The pneumatic soft robotic hand is made up of solenoid valve, Mini Compressor, AFPA bellow, and Servos. This soft robotic hand has many advantages such as good adaptability, simple structure, small size, high flexibility and less energy loss. As an extension Manual control of the robot using a virtual reality environment and well as some possible aspects of an automated farming systems can be considered as future additions.
Volume: 9
Issue: 1
Page: 6-16
Publish at: 2020-03-01

Development model for competency improvement and national vocational qualification support frames in Automotive technology

10.11591/ijere.v9i1.20447
Muhammad Nurtanto , Herminarto Sofyan , Pardjono Pardjono , Suyitno Suyitno
BNSP technical competence gets high legality on the side of the industry, while not all test participants can acquire it. Until now, studies that discuss relevant competency test models on automotive engine technology are still limited, not specific or even non-existent. The objective of this research is to produce a Competency Test Model for Engine Tune Up-System Injection and determine the characteristics after the model is applied. The subject of development consists of assesses (vocational education graduates, workers and educators), experts, and assessors from related Professional Certification Institutions (LSP). Instrument validation was conducted through expert judgment and feasibility trials. Reliability tests were performed using alpha and interrater coefficient analysis. The results of the test analysis include (1) competency test model assessment using the CBA approach; (2) competency dimension elements in instruments development are in the form of TS, TMS, CMS, EMS, and JRES; and (3) the characteristics of competency assessment include equipment verification of adequacy, avoiding impartiality, meeting requirements, transparent and accounTable, and able to produce recommendations as "competent" and "non-competent". The obtained findings showed that the developed competency test model could be used as a reference for use in vocational education.
Volume: 9
Issue: 1
Page: 168-176
Publish at: 2020-03-01
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