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Towards cognitive artificial intelligence device: an intelligent processor based on human thinking emulation

10.12928/telkomnika.v18i3.14835
Catherine Olivia; Universitas Katolik Indonesia Atma Jaya Jakarta Sereati , Arwin Datumaya Wahyudi; Applied Master on Electrical Engineering State Polytechnic of Malang Sumari , Trio; Institut Teknologi Bandung Adiono , Adang Suwandi; Institut Teknologi Bandung Ahmad
The intervention of computer technology began the era of a more intelligent and independent instrumentation system based on intelligent methods such as artificial neural networks, fuzzy logic, and genetic algorithm. On the other hand, processor with artificial cognitive ability has also been discovered in 2016. The architecture of the processor was designed based on knowledge growing system (KGS) algorithm, a new concept in artificial intelligence (AI) which is focused on the emulation of the process of the growing of knowledge in human brain after getting new information from human sensory organs. KGS is considered as the main method of a new perspective in AI called as cognitive artificial intelligence (CAI). The design is to obtain the architecture of the data path of the processor. We found that the complexity of the processor circuit is determined by the number of combinations of sensors and hypotheses as the main inputs to the processor. This paper addresses the development of an intelligence processor based on cognitive AI in order to realize an Intelligence Instrumentation System. The processor is implemented in field programmable gate array (FPGA) and able to perform human thinking emulation by using KGS algorithm.
Volume: 18
Issue: 3
Page: 1475-1482
Publish at: 2020-06-01

Website quality of Malaysian Technical University

10.11591/ijeecs.v18.i3.pp1624-1628
Lim Pui Jie , Rohaizan Ramlan , Rohayanti Hassan , Rashidah Omar , Chan Shau Wei
University website is the platform for university to interact with people. It is also an interphase for people to infer and getting known about the university. In addition, quality of the university website is vital to let people get positive response to the university. Therefore, university website should be evaluated for better performance. This study evaluate website of Malaysian Technical University (MTUN) on year of 2016 based on the criteria selected using online web diagnostics tools. There are nine criteria selected to measure the website; load time, response time, page rank, traffic, design optimization, page size, number of items, markup validation and broken link. The result shows website of UMP performed better in design optimization, page rank and markup validation. Meanwhile, UTHM performed in page rank, load time and page size. UTEM excellences in response time, number of items and broken link. Lastly, UniMAP performed in traffic criteria only. However, the (MTUN) University website is almost not meets with the criteria that selected with the quality standard that have been suggested. 
Volume: 18
Issue: 3
Page: 1624-1628
Publish at: 2020-06-01

Improved quality of service-based cloud service ranking and recommendation model

10.12928/telkomnika.v18i3.11915
Sirisha; Koneru Lakshmaiah Education Foundation Potluri , Katta Subba; Koneru Lakshmaiah Education Foundation Rao
One of the ongoing technologies which are used by large number of companies and users is cloud computing environment. This computing technology has proved that it provides certainly a different level of efficiency, security, privacy, flexibility and availability to its users. Cloud computing delivers on demand services to the users by using various service-based models. All these models work on utility-based computing such that users pay for their used services. Along with the various advantages of the cloud computing environment, it has its own limitations and problems such as efficient resource identification or discovery, security, task scheduling, compliance and sustainability. Among these resource identification and scheduling plays an important role because users always submits their jobs and expects responses in least possible time. Research is happening all around the world to optimize the response time, make span so as to reduce the burden on the cloud resources. In this paper, QoS based service ranking model is proposed for cloud computing environment to find the essential top ranked services. Proposed model is implemented in two phases. In the first phase, similarity computation between the users and their services is considered. In the second phase, computing the missing values based on the computed similarity measures is calculated. The efficiency of the proposed ranking is measured and the average precision correlation of the proposed ranking measure is showing better results than the existing measures.
Volume: 18
Issue: 3
Page: 1252-1258
Publish at: 2020-06-01

Deep hypersphere embedding for real-time face recognition

10.12928/telkomnika.v18i3.14787
Ryann; De La Salle University Alimuin , Elmer; De La Salle University Dadios , Jonathan; De La Salle University Dayao , Shearyl; De La Salle University Arenas
With the advancement of human-computer interaction capabilities of robots, computer vision surveillance systems involving security yields a large impact in the research industry by helping in digitalization of certain security processes. Recognizing a face in the computer vision involves identification and classification of which faces belongs to the same person by means of comparing face embedding vectors. In an organization that has a large and diverse labelled dataset on a large number of epoch, oftentimes, creates a training difficulties involving incompatibility in different versions of face embedding that leads to poor face recognition accuracy. In this paper, we will design and implement robotic vision security surveillance system incorporating hybrid combination of MTCNN for face detection, and FaceNet as the unified embedding for face recognition and clustering.
Volume: 18
Issue: 3
Page: 1671-1677
Publish at: 2020-06-01

Fault classification in smart distribution network using support vector machine

10.11591/ijeecs.v18.i3.pp1148-1155
Ong Wei Chuan , Nur Fadilah Ab Aziz , Zuhaila Mat Yasin , Nur Ashida Salim , Norfishah A. Wahab
Machine learning application have been widely used in various sector as part of reducing work load and creating an automated decision making tool. This has gain the interest of power industries and utilities to apply machine learning as part of the operation. Fault identification and classification based machine learning application in power industries have gain significant accreditation due to its great capability and performance. In this paper, a machine-learning algorithm known as Support Vector Machine (SVM) for fault type classification in distribution system has been developed. Eleven different types of faults are generated with respect to actual network. A wide range of simulation condition in terms of different fault impedance value as well as fault types are considered in training and testing data. Right setting parameters are important to learning results and generalization ability of SVM. Gaussian radial basis function (RBF) kernel function has been used for training of SVM to accomplish the most optimized classifier. Initial finding from simulation result indicates that the proposed method is quick in learning and shows good accuracy values on faults type classification in distribution system. The developed algorithm is tested on IEEE 34 bus and IEEE 123 bus test distribution system. 
Volume: 18
Issue: 3
Page: 1148-1155
Publish at: 2020-06-01

2D mapping using omni-directional mobile robot equipped with LiDAR

10.12928/telkomnika.v18i3.14872
Muhammad; Institut Teknologi Sepuluh Nopember Rivai , Dony; Institut Teknologi Sepuluh Nopember Hutabarat , Zishwa Muhammad Jauhar; Institut Teknologi Sepuluh Nopember Nafis
A room map in a robot environment is needed because it can facilitate localization, automatic navigation, and also object searching. In addition, when a room is difficult to reach, maps can provide information that is helpful to humans. In this study, an omni-directional mobile robot equipped with a LiDAR sensor has been developed for 2D mapping a room. The YDLiDAR X4 sensor is used as an indoor scanner. Raspberry Pi 3 B single board computer (SBC) is used to access LiDAR data and then send it to a computer wirelessly for processing into a map. This computer and SBC are integrated in robot operating system (ROS). The movement of the robot can use manual control or automatic navigation to explore the room. The Hector SLAM algorithm determines the position of the robot based on scan matching of the LiDAR data. The LiDAR data will be used to determine the obstacles encountered by the robot. These obstacles will be represented in occupancy grid mapping. The experimental results show that the robot is able to follow the wall using PID control. The robot can move automatically to construct maps of the actual room with an error rate of 4.59%.
Volume: 18
Issue: 3
Page: 1467-1474
Publish at: 2020-06-01

Assessment of disturbed voltage supply effects on steady-state performance of an induction motor

10.11591/ijece.v10i3.pp2259-2270
Jamal Abdul-Kareem Mohammed , Sahar R. Al-Sakini , Arkan Ahmed Hussein
An electric power system is usually exposed to unequal and variable loads across its three phases, which leads to voltage unbalance and variation, making the three-phase voltages asymmetrical in nature at the distribution end. This problem is clearly evident in Iraq country, particularly with regard to the fluctuating voltage levels of electricity distribution during peak hours. Providing a three-phase motor with asymmetric voltages is badly affecting its working performance. Estimating the performance of this motor at steady-state under different conditions of voltage disturbances is investigated in this paper through Matlab simulation using Symmetrical component approach. The motor performance represented by active and reactive input powers, output put power, developed torque, power losses, efficiency and power factor is analyzed under full load conditions. Also, the steady-state power losses- and torque-slip characteristics at certain degrees of voltage unbalance have been calculated and plotted
Volume: 10
Issue: 3
Page: 2259-2270
Publish at: 2020-06-01

Chaos synchronization in a 6-D hyperchaotic system with self-excited attractor

10.12928/telkomnika.v18i3.13672
Ahmed S.; University of Mosul Al-Obeidi , Saad Fawzi; University of Mosul AL-Azzawi
This paper presented stability application for chaos synchronization using a 6-D hyperchaotic system of different controllers and two tools: Lyapunov stability theory and Linearization methods. Synchronization methods based on nonlinear control strategy is used. The selecting controller's methods have been modified by applying complete synchronization. The Linearization methods can achieve convergence according to the of complete synchronization. Numerical simulations are carried out by using MATLAB to validate the effectiveness of the analytical technique.
Volume: 18
Issue: 3
Page: 1483-1490
Publish at: 2020-06-01

Communication between PLC different vendors using OPC server improved with application device

10.12928/telkomnika.v18i3.14757
Ignatius Deradjad; Politeknik Mekatronika Sanata Dharma Pranowo , Y. B. Theo; Politeknik Mekatronika Sanata Dharma Bagastama , Thomas A. F.; Politeknik Mekatronika Sanata Dharma Wibisono
Many industries often use different devices and controllers in automation systems. They all face the same difficulty how to exchange data between all those components. This paper proposed the implementation of OPC Server as software interface on communication between two different controllers, PLC Mitsubishi and PLC Omron. The main advantage of the method is the compatibility and solution for the factory difficulty problem because of using several driver controller. The compatibility among the different platforms of both controller, PLC Mitsubishi and PLC Omron, can be reached by use of KEPServerEx6 (OPC server) as a software interface. To test the compatibility amongst two different controllers, there was developed and implemented two field application devices, bottle unscramble and bottle filling station. This implementation shows OPC Server technology resolving data compatibility issues between different platforms and reducing development costs. It is envisaged that the method can be very useful to realize integration.
Volume: 18
Issue: 3
Page: 1491-1498
Publish at: 2020-06-01

Novel dependencies of currents and voltages in power system steady state mode on regulable parameters of three-phase systems symmetrization

10.12928/telkomnika.v18i3.15113
Phu Tran; Industrial University of Ho Chi Minh City Tin , Duy-Hung; Ton Duc Thang University Ha , Minh; Ton Duc Thang University Tran , Quang Sy; Hong Bang International University Vu , Thanh-Tai; Ton Duc Thang University Phan
The unbalanced mode, negative/zero sequence, variation of real power are caused by the nonlinear or unbalanced loads increase the power transmission losses in distributing power systems and also harmful to the electric devices. Reactive power compensation is considered as the common methods for overcoming asymmetry. The critical issue in reactive power compensation is the optimal calculation of compensation values that is extremely difficult in complex circuits. We proposed a novel approach to overcome these difficulties by providing the creation of new analytical connections of the steady-state mode parameters (voltages, currents) depends on the controlled parameter for the arbitrary circuits. The base of our approach to reactive power compensation is the fractional-polynomial functions. We present a new description of the behavior of voltages and currents depending on the controlled parameters of the reactive power compensation devices, and we prove its effectiveness.
Volume: 18
Issue: 3
Page: 1195-1202
Publish at: 2020-06-01

Human gait recognition using preprocessing and classification techniques

10.11591/ijece.v10i3.pp2978-2985
Samer Kais Jameel , Jihad Anwar Qadir , Mohammed Hussein Ahmed
Biometric recognition systems have been attracted numerous researchers since they attempt to overcome the problems and factors weakening these systems including problems of obtaining images indeed not appearing the resolution or the object completely. In this work, the object movement reliance was considered to distinguish the human through his/her gait. Some losing features probably weaken the system’s capability in recognizing the people, hence, we propose using all data recorded by the Kinect sensor with no employing the feature extraction methods based on the literature. In these studies, coordinates of 20 points are recorded for each person in various genders and ages, walking with various directions and speeds, creating 8404 constraints. Moreover, pre-processing methods are utilized to measure its influences on the system efficiency through testing on six types of classifiers. Within the proposed approach, a noteworthy recognition rate was obtained reaching 91% without examining the descriptors.
Volume: 10
Issue: 3
Page: 2978-2985
Publish at: 2020-06-01

Simple broadband circularly polarized monopole antenna with two asymmetrically connected U-shaped parasitic strips and defective ground plane

10.12928/telkomnika.v18i3.14313
Hussein; University Teknikal Malaysia Melaka (UTeM) Alsariera , Z.; University Teknikal Malaysia Melaka (UTeM) Zakaria , A. A. M.; University Teknikal Malaysia Melaka (UTeM) Isa , Sameer; University Teknikal Malaysia Melaka (UTeM) Alani , M. Y.; University Teknikal Malaysia Melaka (UTeM) Zeain , Othman S.; University Teknikal Malaysia Melaka (UTeM) Al-Heety , S.; Multimedia Universty Ahmed , Mussa; University Teknikal Malaysia Melaka (UTeM) Mabrok , R.; University Teknikal Malaysia Melaka (UTeM) Alahnomi
A simple compact broadband circularly polarized monopole antenna, which comprises a simple monopole, a modified ground plane with an implementing triangular stub and two asymmetrically connected U-shaped parasitic strips, is proposed. Simulation results show that the proposed compact antenna (0.62λo×0.68λo) achieves a 10-dB impedance bandwidth (IBW) of 111% (1.7 to 5.95 GHz) and a 3-dB axial ratio bandwidth (ARBW) of 61% (3.3–6.2 GHz) with a peak gain between 2.9–4 dBi for the entire ARBW. With its broad IBW and ARBW, compact size and simple structure, the proposed antenna is suitable for different wireless communications.
Volume: 18
Issue: 3
Page: 1169-1175
Publish at: 2020-06-01

Predicting student performance in higher education using multi-regression models

10.12928/telkomnika.v18i3.14802
Leo Willyanto; Petra Christian University Santoso , Yulia; Petra Christian University Yulia
Supporting the goal of higher education to produce graduation who will be a professional leader is a crucial. Most of universities implement intelligent information system (IIS) to support in achieving their vision and mission. One of the features of IIS is student performance prediction. By implementing data mining model in IIS, this feature could precisely predict the student’ grade for their enrolled subjects. Moreover, it can recognize at-risk students and allow top educational management to take educative interventions in order to succeed academically. In this research, multi-regression model was proposed to build model for every student. In our model, learning management system (LMS) activity logs were computed. Based on the testing result on big students datasets, courses, and activities indicates that these models could improve the accuracy of prediction model by over 15%.
Volume: 18
Issue: 3
Page: 1354-1360
Publish at: 2020-06-01

Smart agriculture management system using internet of things

10.12928/telkomnika.v18i3.14029
Kaushik; Vignan Institute of Technology & Science Sekaran , Maytham N.; Al-Mustaqbal University College Meqdad , Pardeep; G. H. Raisoni College of Engineering Kumar , Soundar; Vignan Institute of Technology & Science Rajan , Seifedine; Beirut Arab University Kadry
In the world of digital era, an advance development with internet of things (IoT) were initiated, where devices communicate with each other and the process are automated and controlled with the help of internet. An IoT in an agriculture framework includes various benefits in managing and monitoring the crops. In this paper, an architectural framework is developed which integrates the internet of things (IoT) with the production of crops, different measures and methods are used to monitor crops using cloud computing. The approach provides real-time analysis of data collected from sensors placed in crops and produces result to farmer which is necessary for the monitoring the crop growth which reduces the time, energy of the farmer. The data collected from the fields are stored in the cloud and processed in order to facilitate automation by integrating IoT devices. The concept presented in the paper could increase the productivity of the crops by reducing wastage of resources utilized in the agriculture fields. The results of the experimentation carried out presents the details of temperature, soil moisture, humidity and water usage for the field and performs decision making analysis with the interaction of the farmer.
Volume: 18
Issue: 3
Page: 1275-1284
Publish at: 2020-06-01

Readiness, acceptance and use of e-health systems in hospitals and health centers of north western ethiopia

10.11591/ijeecs.v18.i3.pp1510-1519
Abinew Ali Ayele
The purpose of this empirical study was to examine e-health readiness, acceptance and use in hospitals and health centers in Ethiopia. In this study, 900 samples were taken using a simple random sampling method from 10 Hospitals and 20 health centers in northwestern Ethiopia. SmartPls software was used for the structural equation modeling and path analysis techniques. All of the e-health readiness indicators, except employees’ attitudes showed that hospitals and health centers were not ready to implement and use e-health systems. The intentions of users to accept and use e-health systems were evaluated and determinants were identified. Service quality from the technological factors, self-efficacy from the human factors and user training from the organizational factors were found to be significant determinants of user satisfaction, individual performance, and organizational performance respectively. Major determinants were an organizational performance with a contribution of 37.6% influence followed by an individual performance with 28.2% contribution (together accounted for about 65.8% influence) of the users’ behavioral intentions to use e-health systems. The model, which explained 47.6 % of the variances in the data, was found to be significant.
Volume: 18
Issue: 3
Page: 1510-1519
Publish at: 2020-06-01
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