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31,456 Article Results

Design and development of three stages maximum power tracking solar charge controller

10.11591/ijeecs.v18.i3.pp1270-1278
N.H. Abdul Rahman , A. M. Omar , E. H. Mat Saat , N. I. Ilham , M. Z. Hussin , Yusrina Y
This paper presents the design of a Three Stages Maximum Power Point Tracking (MPPT) charge controller for improving the charging/discharging control of the battery. In this research, Buck Converter is used to regulate the voltage from the Photovoltaic (PV) module to the required voltage. This research is limited to Valve Regulated Lead Acid (VRLA) battery for 12V system voltage. The charge control algorithm envisages controlling the charging and discharging action in all the three stages of battery charging, bulk, absorption, and float. The idea is to control the battery charging and discharging status until meeting the battery set-point. The set-point is limited to High Voltage Disconnect (HVD), Low Voltage Disconnect (LVD) and Load Voltage Reconnect (LVR) to protect the battery from over-charging and deep-discharging. The results obtained demonstrate the good performance of the charge controller. With the application of the MPPT algorithm in the bulk stage, the time taken to get the battery to fully charged state becomes faster The regulation power from the converter to the inverter has performed well and the switching relay is managed to be controlled.
Volume: 18
Issue: 3
Page: 1270-1278
Publish at: 2020-06-01

Fuzzy logic controller design for PUMA 560 robot manipulator

10.11591/ijra.v9i2.pp73-83
Abdel-Azim S. Abdel-Salam , Ibrahim N. Jleta
The dynamic model of the robot manipulator contain from equations, these equations are nonlinear and contained from variations parameters due to variations in load, friction, and disturbance. The conventional computed torque (PD and PID) controllers are not highly suitable for nonlinear, complex, time-variant systems with delay. In this paper, the fuzzy logic controllers (FLC) has been used because it is efficient tools for control of nonlinear and uncertain parameters systems. This paper aims to design a fuzzy logic controller for position control of a PUMA 560 robot manipulator. Based on simulation results we conclude that the performance of the fuzzy logic controller in term of position tracking error in case of disturbance or load is better than the conventional computed torque (PD-CTC and PID-CTC) controllers.
Volume: 9
Issue: 2
Page: 73-83
Publish at: 2020-06-01

Optimal quality ultra high video streaming based H.265

10.11591/ijeecs.v18.i3.pp1474-1485
Hiba Khalid Abd al-azeez , Nasser N. Khamiss
Using Ultra-High Definition (UHD) video streaming in real-time transmission over the internet is the main challenge of this paper. Due to the widely variation of the available Internet bandwidth makes the difficulties of video streaming with flexibility and efficiency. In this paper the UHD video is down sampled and encoded at different levels of 4K, FHD, 720p, 4CIF, CIF and QCIF. Experiments were done to find the optimal configuration of H265 features at each level that give the required PSNR, 36 dB, at assigned bitrate. A controller is incorporated with H265 encoder to achieve the adaptation of video streaming on the available bandwidth by choosing the proper level that is compatible with the channel bitrate results of keeping a good quality to the end user. The adaptation of video was realized by making the controller periodically reads the status of the buffer, such function helps the controller to select the proper level, 4K, FHD, 720p, 4CIF, CIF or QCIF to be streamed over the channel. At the decoder the reconstructed video for lower level is done by interpolation scaling up.
Volume: 18
Issue: 3
Page: 1474-1485
Publish at: 2020-06-01

Designing and testing of a smart firefighting device system (LAHEEB)

10.11591/ijra.v9i2.pp143-152
Yousef Samkari , Kamel Guedri , Mowffaq Oreijah , Shadi Munshi , Sufyan Azam
The motivation behind this project is that firefighter's death. Many firefighters are struggling to perform their duty which causes much death while on a mission and the circumstances related to each incident. Firefighters are our heroes and our sense of security in times of trouble. They put themselves on dangerous situations to protect us. At present, the world is moving toward the use of technologies software and hardware. This paper proposed a smart firefighting device system (LAHEEB) which designed to detect the source of fire, extinguish it, and increase the knowledge about fire behavior from incident area. This device can extinguish different types of fire A, B, C, D, F/K, electric and metal fire without spreading in the shortest time. This device will reduce the risk of injury for firefighters and possible victims and decrease the monetary losses which increase considerably as fire duration increases. LAHEEB device is consists of two parts. The first part is called the mid-cap which presented the body of the device that has most of the components such as sensors, relays, battery, servo motor, liquid tank, push-button, and Arduino. The second part is called the bottom-cap which presented the moving part of the device that has the significant components of LAHEEB such as servo motor, sprayer, and thermal camera. It also makes use of liquid-tank and spray mechanism for extinguishing the fire. The spraying nozzle is mounted on a servo motor to cover maximum area. Liquid-extinguisher is pumped from the main tank to the nose with the help of a pump. The whole system is programmed using an Arduino DUE board which forms the brain of the system.
Volume: 9
Issue: 2
Page: 143-152
Publish at: 2020-06-01

Dimensionality assessment of binary response test items: A non-parametric approach of bayesian item response theory measurement

10.11591/ijere.v9i2.20454
Musa Adekunle Ayanwale , Flourish O. Isaac-oloniyo , Funmilayo Rebecca Abayomi
This study investigated dimensionality of Binary Response Items through a non-parametric technique of Item Response Theory measurement framework. The study used causal comparative research type of non-experimental design. The sample consisted of 5,076 public senior secondary school examinees (SSS3) between the age of 14-16 years from 45 schools, which were drawn randomly from three senatorial districts of Osun State, Nigeria. Instrument used for this study was 2018 Osun State unified multiple-choice mathematics achievement test items with empirical reliability coefficient of 0.82. Data obtained were analysed using Non-linear factor analysis, Stout’s Test of Essential Unidimensionality (STEU), Factor Analysis (FA), Full Information Factor Analysis (FIFA) and Bootstrap Modified Parallel Analysis Test (BMPAT). Results showed that both the BMPAT and STEU ascertained violation of unidimensionality assumption of the test items (the observed difference in the second eigenvalue of the observed data and that of second eigenvalue of the simulated data was statistically significant, p = 0.0099; Stout’s test rejected the assumption of essential unidimensionality, T = 10.6260, p<0.05). Non-linear factor analysis and full information factor analysis revealed that four dimensions embedded in the test items and loadings of the items showed within-item multidimensionality respectively. The authors’ concluded that modeling examinees’ performance with unidimensional model when it was actually multidimensional in nature would affect performance of examinees adversely and could lead to blur judgment. Consequently, it is recommended that unidimensional scoring method of Osun State unified mathematics achievement test implicit in Classical Test Theory should be jettisoned and an appropriate scoring model (multidimensional) should be embraced.
Volume: 9
Issue: 2
Page: 385-393
Publish at: 2020-06-01

Robots for search site monitoring, suspect guarding, and evidence identification

10.11591/ijra.v9i2.pp84-93
Yi-Chang Wu , Jih-Wei Lee , Huan-Chun Wang
As an initial trial and in response to a lack of technological applications in government agencies, we have developed three multifunctional robots in accordance with the work environment and the nature of our tasks. Search site monitoring robot is fitted with a panoramic camera and large wheels for walk-around search site monitoring. Suspect guarding robot follows and guards a suspect by tracking an augmented reality marker worn by the suspect and identifying the human body through an infrared thermal camera. For the evidence identification robot, You Only Look Once (YOLO) is utilized to identify some specific evidence on search site and is equipped with a carrier and a high-torque motor for evidence transportation; it is set to issue warnings and emails to relevant personnel on specific emergencies. We have performed multiple experiments and tests to confirm the robots’ effectiveness, verifying their applicability of technological task support in government agencies.
Volume: 9
Issue: 2
Page: 84-93
Publish at: 2020-06-01

Inverse kinematic analysis of 3 DOF 3-PRS PM for machining on inclined prismatic surfaces

10.11591/ijra.v9i2.pp135-142
Hishantkumar Rashmikantbhai Patel , Yashavant Patel
Parallel Manipulators (PMs) are family members of modern manipulators based on the closed loop structural architecture. 3-PRS (prismatic, revolute, spherical) manipulator with 3DOF is investigated for its machining capability on prismatic surfaces as it possesses greater structural stiffness, higher pay load caring capacity, more precision compare to serial manipulators as well as less accumulation of errors at joints within a constrained workspace. The said manipulator can be utilized in various fields of application such as precise manufacturing, medical surgery, space technology and many more. In this paper, the primary focus on usage of parallel manipulator in industrial applications such as drilling and grooving on inclined work part surface. Inverse kinematic solutions are used for drilling, square and round profiles on inclined surface using parallel manipulator.
Volume: 9
Issue: 2
Page: 135-142
Publish at: 2020-06-01

A multi-color based features from facial images for automatic ethnicity identification model

10.11591/ijeecs.v18.i3.pp1383-1390
Mohd Zamri Osman , Mohd Aizaini Maarof , Mohd Foad Rohani , Nilam Nur Amir Sjarif , Nor Saradatul Akmar Zulkifli
Ethnicity identification for demographic information has been studied for soft biometric analysis, and it is essential for human identification and verification. Ethnicity identification remains popular and receives attention in a recent year especially in automatic demographic information. Unfortunately, ethnicity identification technique using color-based feature mostly failed to determine the ethnicity classes accurately due to low properties of features in color-based. Thus, this paper purposely analyses the accuracy of the color-based ethnicity identification model from various color spaces. The proposed model involved several phases such as skin color feature extraction, feature selection, and classification. In the feature extraction process, a dynamic skin color detection is adapted to extract the skin color information from the face candidate. The multi-color feature was formed from the descriptive statistical model. Feature selection technique applied to reduce the feature space dimensionality. Finally, the proposed ethnicity identification was tested using several classification algorithms. From the experimental result, we achieved a better result in multi-color feature compared to individual color space model under Random Forest algorithm.
Volume: 18
Issue: 3
Page: 1383-1390
Publish at: 2020-06-01

Enrich multi-channel P2P VoD streaming based on dynamic replication strategy

10.11591/ijaas.v9.i2.pp110-116
K.T. Meena Abarna , T. Suresh
Peer-to-Peer Video-on-Demand (VoD) is a favorable solution which compromises thousands of videos to millions of users with completeinteractive video watching stream. Most of the profitable P2P streaming groupsPPLive, PPStream and UUSee have announced a multi-channel P2P VoD system that approvals user to view extra one channel at a time. The present multiple channel P2P VoD system resonant a video at a low streaming rate due to the channel resource inequity and channel churn. In order to growth the streaming capacity, this paper highlights completely different effective helpers created resource balancing scheme that actively recognizes the supply-and-demand inequity in multiple channels. Moreover, peers in an extra channel help its unused bandwidth resources to peers in a shortage channel that minimizes the server bandwidth consumption. To provide a desired replication ratio for optimal caching, it develops a dynamic replication strategy that optimally tunes the number of replicas based on dynamic popularity in a distributed and dynamic routine. This work accurately forecasts the varying popularity over time using Auto-Regressive Integrated Moving Average (ARIMA) model, an effective time-series forecasting technique that supports dynamic environment. Experimental assessment displays that the offered dynamic replication strategy which should achieves high streaming capacity under reduced server workload when associated to existing replication algorithms.
Volume: 9
Issue: 2
Page: 110-116
Publish at: 2020-06-01

General concepts of multi-sensor data-fusion based SLAM

10.11591/ijra.v9i2.pp63-72
Jan Klečka , Karel Horák , Ondřej Boštík
This paper is approaching a problem of Simultaneous Localization and Mapping (SLAM) algorithms focused specifically on processing of data from a heterogeneous set of sensors concurrently. Sensors are considered to be different in a sense of measured physical quantity and so the problem of effective data-fusion is discussed. A special extension of the standard probabilistic approach to SLAM algorithms is presented. This extension is composed of two parts. Firstly is presented general perspective multiple-sensors based SLAM and then thee archetypical special cases are discuses. One archetype provisionally designated as "partially collective mapping" has been analyzed also in a practical perspective because it implies a promising options for implicit map-level data-fusion.
Volume: 9
Issue: 2
Page: 63-72
Publish at: 2020-06-01

Internet of things: security requirements, attacks and counter measures

10.11591/ijeecs.v18.i3.pp1520-1530
Maria Imdad , Deden Witarsyah Jacob , Hairulnizam Mahdin , Zirawani Baharum , Shazlyn Milleana Shaharudin , Mohd Sanusi Azmi
Internet of Things (IoT) is a network of connected and communicating nodes. Recent developments in IoT have led to advancements like smart home, industrial IoT and smart healthcare etc. This smart life did bring security challenges along with numerous benefits. Monitoring and control in IoT is done using smart phone and web browsers easily.  There are different attacks being launched on IoT layers on daily basis and to ensure system security there are seven basic security requirements which must be met. Here we have used these requirements for classification and subdivided them on the basis of attacks, followed by degree of their severity, affected system components and respective countermeasures. This work will not only give guidelines regarding detection and removal of attacks but will also highlight the impact of these attacks on system, which will be a decision point to safeguard  system from high impact attacks on priority basis.
Volume: 18
Issue: 3
Page: 1520-1530
Publish at: 2020-06-01

Control system design of duct cleaning robot capable of overcoming L and T-shaped ducts

10.11591/ijra.v9i2.pp123-134
Myeong In Seo , Woo Jin Jang , Junhwan Ha , Kyongtae Park , Dong Hwan Kim
This study introduces the control method of duct cleaning robot that enables real-time position tracking and self-driving over L-shaped and T-shaped duct sections. The developed robot has three legs and is designed to flexibly respond to duct sizes. The position of the robot inside the duct is identified using the UWB communication module and the location estimation algorithm. Although UWB communication has relatively large distance error within the metal, the positional error was reduced by introducing appropriate filters to estimate the robot position accurately. TCP/IP communication allows commands to be sent between the PC and the robot and to receive live images of the camera attached to the robot. Using Haar-like and classifiers, the robot can recognize the type of duct that is difficult to overcome, such as L-shaped and T-shaped duct, and it moves successfully inside the duct according to the corresponding moving algorithms.
Volume: 9
Issue: 2
Page: 123-134
Publish at: 2020-06-01

Inclusive education services for the blind: Values, roles, and challenges of university EFL teachers

10.11591/ijere.v9i2.20436
Alies Poetri Lintangsari , Ive Emaliana
Implementing inclusive education, the process of providing all learners with equal educational opportunities, is a major challenge for many educational systems worldwide, for it requires changes to values, system, and practices. In the teaching of English as a foreign language (EFL) in university, teachers are expected to be able to select, transform, or augment Universal Design for Learning (UDL), and Differentiated Instruction (DI) as a framework to guarantee accessibility of all learner types to the learning environment by employing specific educational design guidelines, to fit their leaners', notably for the blinds. Data on what has led EFL teachers to join the reform of the teaching instruction and how they tackle problems during implementation cannot be located. Thus, the aim of this qualitative study is to uncover reasons for EFL teachers to participate in and what they did to facilitate the instruction wide effort to practice inclusive education, as well as challenges encountered. Key findings included implementing university policy as prime reasons for practicing inclusive education, utilizing UDL and DI as the key to successful implementation for instructional teaching, and inadequate resources and teacher training as the main challenges. Recommendations consists of providing disability-specific pre- and in- service training programs for teachers and making arrangements of sufficient educational materials and assessment based on UDL and DI towards EFL instructions.
Volume: 9
Issue: 2
Page: 439-447
Publish at: 2020-06-01

Particle swarm optimization algorithms with selective differential evolution for AUV path planning

10.11591/ijra.v9i2.pp94-112
Hui Sheng Lim , Shuangshuang Fan , Christopher K.H. Chin , Shuhong Chai , Neil Bose
Particle swarm optimization (PSO)-based algorithms are suitable for path planning of the Autonomous Underwater Vehicle (AUV) due to their high computational efficiency. However, such algorithms may produce sub-optimal paths or require higher computational load to produce an optimal path. This paper proposed a new approach that improves the ability of PSO-based algorithms to search for the optimal path while maintaining a low computational requirement. By hybridizing with differential evolution (DE), the proposed algorithms carry out the DE operator selectively to improve the search ability. The algorithms were applied in an offline AUV path planner to generate a near-optimal path that safely guides the AUV through an environment with a priori known obstacles and time-invariant non-uniform currents. The algorithm performances were benchmarked against other algorithms in an offline path planner because if the proposed algorithms can provide better computational efficiency to demonstrate the minimum capability of a path planner, then they will outperform the tested algorithms in a realistic scenario. Through Monte Carlo simulations and Kruskal-Wallis test, SDEAPSO (selective DE-hybridized PSO with adaptive factor) and SDEQPSO (selective DE-hybridized Quantum-behaved PSO) were found to be capable of generating feasible AUV path with higher efficiency than other algorithms tested, as indicated by their lower computational requirement and excellent path quality.
Volume: 9
Issue: 2
Page: 94-112
Publish at: 2020-06-01

Welding station monitoring system using internet of thing (IOT)

10.11591/ijeecs.v18.i3.pp1319-1330
Ernie Mazuin Mohd Yusof , Mohd Ismail Yusof , Rafidah Ali , Izzat Hilmi Harjimi , Qasidah Kamarul Bahrin
In oil and gas industry, productivity is very important as the industry involves high cost and can be considered as a large-scale industry. Therefore, time and budget should be kept minimal to avoid loss to the oil and gas company. An example of lack of productivity in the industry is there are many complaints in the oil and gas industry that welders do not perform their job on time. Therefore, this project discussed about a system that can be used to monitor these welding stations. This system is important because it can help supervisors track the welding works from afar or anywhere using internet of things (IoT). To achieve that, a system must consist of hardware and software that are capable of connecting to the internet and monitor the welding works. In this project, the hardware chosen were Arduino Uno for data processing, ESP8266 to connect the microcontroller to the internet, voltage sensor to detect the voltage of the welding machine and a website to show the data taken. Other than that, this system was able to warn the welder of overvoltage of the welding machine. Thus, the system solved the problem of welders not performing their job on time. Supervisors were also able to monitor the job of welders to ensure maximum productivity. Based on the testing done on the system, the prototype was able to work as intended. The welding station monitoring system was able to detect welding usage, measure voltage values of welding and send the data to IoT for monitoring.
Volume: 18
Issue: 3
Page: 1319-1330
Publish at: 2020-06-01
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