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29,922 Article Results

Fuzzy gain scheduling control apply to an RC Hovercraft

10.11591/ijece.v10i3.pp2434-2440
Huu Khoa Tran , Pham Duc Lam , Tran Thanh Trang , Xuan Tien Nguyen , Hoang-Nam Nguyen
The Fuzzy Gain Scheduling (FGS) methodology for tuning the Proportional – Integral – Derivative (PID) traditional controller parameters by scheduling controlled gains in different phases, is a simple and effective application both in industries and real-time complex models while assuring the high achievements over pass decades, is proposed in this article. The Fuzzy logic rules of the triangular membership functions are exploited on-line to verify the Gain Scheduling of the Proportional – Integral – Derivative controller gains in different stages because it can minimize the tracking control error and utilize the Integral of Time Absolute Error (ITAE) minima criterion of the controller design process. For that reason, the controller design could tune the system model in the whole operation time to display the efficiency in tracking error. It is then implemented in a novel Remote Controlled (RC) Hovercraft motion models to demonstrate better control performance in comparison with the PID conventional controller.
Volume: 10
Issue: 3
Page: 2434-2440
Publish at: 2020-06-01

Features detection based blind handover using kullback leibler distance for 5G HetNets systems

10.11591/ijai.v9.i2.pp193-202
Adnane El Hanjri , Aawatif Hayar , Abdelkrim Haqiq
The Fifth Generation of Mobile Networks (5G) is changing the cellular network infrastructure paradigm, and Small Cells are a key piece of this shift. But the high number of Small Cells and their low coverage involve more Handovers to provide continuous connectivity, and the selection, quickly and at low energy cost, of the appropriate one in the vicinity of thousands is also a key problem. In this paper, we propose a new method, to have an efficient, blind and rapid handover just by analysing Received Signal probability density function instead of demodulating and analysing Received Signal itself as in classical handover. The proposed method exploits KL Distance, Akaike Information Criterion (AIC) and Akaike weights, in order to decide blindly the best handover and the best Base Station (BS) for each user
Volume: 9
Issue: 2
Page: 193-202
Publish at: 2020-06-01

Velocity control of ROV using modified integral SMC with optimization tuning based on Lyapunov analysis

10.12928/telkomnika.v18i3.14781
Syadza Atika; Politeknik Elektronika Negeri Surabaya Rahmah , Eko Henfri; Politeknik Elektronika Negeri Surabaya Binugroho , Raden Sanggar; Politeknik Elektronika Negeri Surabaya Dewanto , Dadet; Politeknik Elektronika Negeri Surabaya Pramadihanto
Remotely Operated Vehicle also known as ROV is a vehicle with high nonlinearity and uncertainty parameters that requires a robust control system to maintain stability. The nonlinearity and uncertainty of ROV are caused by underwater environmental conditions and by the movement of the vehicle. SMC is one of the control systems that can overcome nonlinearity and uncertainty with the given robust system. This work aims to control velocity of the vehicle with proposes the use of modified integral SMC compensate error in ROV and the use of particle swarm optimization (PSO) to optimize the adjustment of SMC parameters. The ROV used in this paper has a configuration of six thrusters with five DoF movements that can be controlled. Modified integral sliding mode is used to control all force direction to increase the convergence of speed error. Adjustment optimization techniques with PSO are used to determine four values of sliding control parameters for five DoF. Using Lyapunov stability approach control law of sliding mode is derived and its global stability proved mathematically. Simulation results are conducted to evaluate the effectiveness of Modified Integral SMC and compared with nonlinear control.
Volume: 18
Issue: 3
Page: 1505-1513
Publish at: 2020-06-01

A review of optimal operation of microgrids

10.11591/ijece.v10i3.pp2842-2849
N. Karthik , A. K. Parvathy , R. Arul
The term microgrid refers to small-scale power grid that can operate autonomously or in concurrence with the area’s main electrical grid. The intermittent characteristic of DGs which defies the power quality and voltage manifests the requirement for new planning and operation approaches for microgrids. Consequently, conventional optimization methods in new power systems have been critically biased all through the previous decade. One of the main technological and inexpensive tools in this regard is the optimal generation scheduling of microgrid. As a primary optimization tool in the planning and operation fields, optimal operation has an undeniable part in the power system. This paper reviews and evaluates the optimal operation approaches mostly related to microgrids. In this work, the foremost optimal generation scheduling approaches are compared in terms of their objective functions, techniques and constraints. To conclude, a few fundamental challenges occurring from the latest optimal generation scheduling techniques in microgrids are addressed.
Volume: 10
Issue: 3
Page: 2842-2849
Publish at: 2020-06-01

Smart parking management system using SSGA MQTT and real-time database

10.12928/telkomnika.v18i3.14869
Putri Sandika; Telkom University Juwita , Radya; Telkom University Fadhil , Tri Nopiani; Telkom University Damayanti , Dadan Nur; Telkom University Ramadan
Smart parking system as a part of smart city development has been widely proposed with several research. In this research, proposed a system of parking management application that functions to monitor and control the location of parking slot that can be used by the parking management and parking users. The web application connected to ultrasonic sensor and GPS using MQTT protocol and real-time database. The research used modify algorithm of the SSGA, to optimize the allocation of empty parking slot and MQTT protocol to obtain the faster response time of the system when many users are accessing the website application. The results obtain a variation of sending delays from the client publish to firebase at 4 seconds. Meanwhile, for the sending delay from the broker to firebase the variation was at 2 seconds for each time of data sending.
Volume: 18
Issue: 3
Page: 1243-1251
Publish at: 2020-06-01

Optimised control using proportional-integral-derivative controller tuned using internal model control

10.11591/ijece.v10i3.pp2452-2462
B. Mabu Sarif , D. V. Ashok kumar , M. Venu Gopala Rao
Time delays are generally unavoidable in the designing frameworks for mechanical and electrical systems and so on.. In both continuous and discrete schemes, the existence of delay creates undesirable impacts on the under-thought which forces exacting constraints on attainable execution.The presence of delay confounds the design structure procedure also. It makes continuous systems boundless dimensional and also extends the readings in discrete systems fundamentally. As the Proportional-Integral-Derivative (PID) controller based on internal model control is essential and strong to address the vulnerabilities and aggravations of the model. But for an real industry process, they are less susceptible to noise than the PID controller.It results in just one tuning parameter which is the time constant of the closed-loop system λ, the internal model control filter factor.It additionally gives a decent answer for the procedure with huge time delays. The design of the PID controller based on the internal model control, with approximation of time delay using Pade’ and Taylor’s series is depicted in this paper. The first order filter used in the design provides good set-point tracking along with disturbance rejection.
Volume: 10
Issue: 3
Page: 2452-2462
Publish at: 2020-06-01

Green-emitting Gd2O2S:Tb3+ and red-emitting Y3Al5O12:Cr3+ phosphors: a suitable selection for enhancing color quality of remote phosphor structure

10.12928/telkomnika.v18i3.13626
Nguyen Thi Phuong; Posts and Telecommunications Institute of Technology Loan , Thinh Cong; Ton Duc Thang University Tran
This article demonstrates green-emitting phosphor Gd2O2S:Tb3+ and red-emitting phosphor Y3Al5O12:Cr3+ application in the triple-layer phosphor WLED to enhance optical performance. The arrangement of phosphor layers in the WLED is red phosphor Y3Al5O12:Cr3+ on top, green phosphor Gd2O2S:Tb3+ in the middle, and yellow phosphor YAG:Ce3+ at the bottom. The principal to utilize these phosphor materials is the exploitation of additional red light component and green light component from the green and red phosphor to enrich the color rendering index (CRI) and luminous efficacy. The influences of green phosphor and red phosphor are also estimated with a new quality indicator, the color quality index (CQS). The results show red phosphor Y3Al5O12:Cr3+ enable CRI when its concentration increases while green phosphor exhibits a contrast reaction. Regarding the CQS, the optimal red phosphor concentration for CQS is from 10% to 14%, disregard the concentration in green phosphor. The improvement that applying these two phosphor materials brought comes from limiting the light loss from back-scattering and strengthen chromatic performance through addition red and green light components. These findings can support manufacturers in adapting to modern lighting requirements by improving CRI, CQS and particularly luminous efficiency to more than 40%.
Volume: 18
Issue: 3
Page: 1561-1566
Publish at: 2020-06-01

Comparison of machine learning performance for earthquake prediction in Indonesia using 30 years historical data

10.12928/telkomnika.v18i3.14756
I Made; Universitas Pelita Harapan Murwantara , Pujianto; Universitas Pelita Harapan Yugopuspito , Rickhen; Universitas Pelita Harapan Hermawan
Indonesia resides on most earthquake region with more than 100 active volcanoes,and high number of seismic activities per year. In order to reduce the casualty, some method to predict earthquake have been developed to estimate the seismic movement. However, most prediction use only short term of historical data to predict the incoming earthquake, which has limitation on model performance. This work uses medium to long term earthquake historical data that were collected from 2 local government bodies and 8 legitimate international sources. We make an estimation of a mediumto-long term prediction via Machine Learning algorithms, which are Multinomial Logistic Regression, Support Vector Machine and Na¨ıve Bayes, and compares their performance. This work shows that the Support Vector Machine outperforms other method. We compare the Root Mean Square Error computation results that lead us into how concentrated data is around the line of best fit, where the Multinomial Logistic Regression is 0.777, Na¨ıve Bayes is 0.922 and Support Vector Machine is 0.751. In predicting future earthquake, Support Vector Machine outperforms other two methods that produce significant distance and magnitude to current earthquake report.
Volume: 18
Issue: 3
Page: 1331-1342
Publish at: 2020-06-01

A review of high frequency emission in 2-150 kHz range

10.11591/ijaas.v9.i2.pp132-141
Tomina Thomas , Prawin Angel Michael
This paper reviews state-of part of discussion that concern about high frequency emission. Sometimes there may be emission in the range of high frequencies because of the fast improvement of energy saving equipments in our homes. Investigators and standardized organization given a very much importance to the disturbances of power quality that occur in the range middle of 2-150 kHz. Disturbances of these high frequencies are becoming an increasing concern in the industry, particularly due to the growth of distributed and embedded generation. Now days, a large number of researches are proceeding at a large number of places, yet information regarding supraharmonics remains confined.
Volume: 9
Issue: 2
Page: 132-141
Publish at: 2020-06-01

IDAE framework: A guide for establishing industry-driven academic programs

10.11591/ijere.v9i2.20341
Challiz De Lima Omorog
An empirical study using descriptive-quantitative methods was conducted to investigate this hypothesis and examine the appropriateness of the framework components on the potential offering of an academic program at Camarines Sur Polytechnic Colleges (CSPC). The Identify, Determine, Assess and Establish (IDAE) model provided strategies and results essential for institutional decision-making. The model also proposes that if at least one of the components- I-D-A were not satisfied, the last component- E should not be pursued. Simply put, the academic program should not be instituted. However, further research is encouraged to support these arguments.
Volume: 9
Issue: 2
Page: 461-468
Publish at: 2020-06-01

Maximising system throughput in wireless powered sub-6 GHz and millimetre-wave 5G heterogeneous networks

10.12928/telkomnika.v18i3.15049
Qazwan; Universiti Tun Hussein Onn Malaysia (UTHM) Abdullah , Noorsaliza; Universiti Tun Hussein Onn Malaysia Abdullah , Mohammed; University of Jeddah Balfaqih , Nor Shahida; Universiti Tun Hussein Onn Malaysia Mohd Shah , Shipun; Universiti Tun Hussein Onn Anuar , Akram A.; Universiti Putra Malaysia Almohammedi , Adeeb; Universiti Tun Hussein Onn Malaysia Salh , Nabil; Universiti Teknikal Malaysia Melaka Farah , Vladimir; South Ural State University Shepelev
Millimetre wave (mm-Wave) bands and sub-6 GHz are key technologies in solving the spectrum critical situation in the fifth generation (5G) wireless networks in achieving high throughput with low transmission power. This paper studies the performance of dense small cells that involve a millimetre wave (mm-Wave) band and sub-6 GHz that operate in high frequency to support massive multiple-input-multiple-output systems (MIMO). In this paper, we analyse the propagation path loss and wireless powered transfer for a 5G wireless cellular system from both macro cells and femtocells in the sub-6 GHz (µWave) and mm-Wave tiers. This paper also analyses the tier heterogeneous in downlink for both mm-Wave and sub-6 GHz. It further proposes a novel distributed power to mitigate the inter-beam interference directors and achieve high throughput under game theory-based power constraints across the sub-6 GHz and mm-Wave interfaces. From the simulation results, the proposed distributed powers in femtocell suppresses inter-beam interference by minimising path loss to active users (UEs) and provides substantial power saving by controlling the distributed power algorithm to achieve high throughput.
Volume: 18
Issue: 3
Page: 1185-1194
Publish at: 2020-06-01

OperativeCriticalPointBug algorithm-local path planning of mobile robot avoiding obstacles

10.11591/ijeecs.v18.i3.pp1646-1656
Subir Kumar Das , Ajoy Kumar Dutta , Subir Kumar Debnath
For Autonomous Mobile Robot one of the biggest and interesting issues is path planning. An autonomous mobile robot should be able determine its own path to reach destination. This paper offers a new algorithm for mobile robot to plan a path in local environments with stationary as well as moving obstacles. For movable robots’ path planning OperativeCriticalPointBug (OCPB) algorithm, is a new Bug algorithm. This algorithm is carried out by the robot throughout the movement from source to goal, hence allowing the robot to rectify its way if a new obstacle comes into the route or any existing obstacle changes its route. According as, not only the robot tries to avoid clash with other obstacle but also tries a series of run time adjustment in its way to produce roughly a best possible path. During journey the robot is believed to be capable to act in an unknown location by acquiring information perceived locally. Using this algorithm the robot can avoid obstacle by considering its own as well as the obstacle’s dimension. The obstacle may be static or dynamic. The algorithm belongs to bug family.
Volume: 18
Issue: 3
Page: 1646-1656
Publish at: 2020-06-01

Design and implement WSN/IoT smart parking management system using microcontroller

10.11591/ijece.v10i3.pp3108-3115
A. E. Hamza , H. H. Qasim , S. A. Alwash , M. M. Fadhel , L. Audah , H. H. Ibrahim , O. S. Hamed , M. I. Hamza , H. A. Saeed
With the dramatic expansion of new networks such as Wireless Sensor Network (WSN) and Internet-of-Things (IoT), tremendous opportunities have been emerged to incorporate such technologies for valuable tasks. One of these tasks is the smart car parking where there is an imperative demand to manage the parkings in various facilities which may help drivers to save their time. Several research studies have addressed this task using wide range of approaches. However, the energy consumption is still a serious concern. This paper proposes a smart car parking based on cloud-based approach along with variety of sensors. Passive Infrared Sensors (PIRs) have been used to sense the object motion. While Light Dependent Resistor (LDR) sensors have been utilized to sense the light of the parking alarm and display inmformation regarding the occupied and non-occupied parking lots. Finally, multi-micro controller of Arduino have been exploited in order to transmit the information collected to the server. Finally, a prototype Android application has been developed in order to recieve the infromation from the server. Results of simulation showed the efficacy of the proposed method.
Volume: 10
Issue: 3
Page: 3108-3115
Publish at: 2020-06-01

A modified symmetric local binary pattern for image features extraction

10.12928/telkomnika.v18i3.14256
Majed O.; Al-balqa Applied University Dwairi
The process of identifying images and patterns is one of the most important processes of digital image processing, which is used in many applications such as fingerprint recognition, face recognition and pattern recognition. Due to the large size of the image, the process of identifying the image requires a great time, which in turn leads us to extract some characteristics of the magnitude of the volume, which can be used as an identifier to retrieve the image or recognize it and thus we have devoted a lot of time to identify the image. In this research paper, a modified symmetric local binary pattern (MSLBP) method was proposed to extract texture features. The proposed algorithm was implemented on many digital fingerprint’s images and the local structure features of these images were obtained. Several image recognition experiments are conducted on these features and compared with other algorithms. The results of the proposed algorithm showed that the digital image was represented in a very small size and furthermore the speed and accuracy of image recognition based on the proposed method was increased significantly. Unlike the methods based on LBP, the proposed method gives the same features of the image even if the image was rotated with any angle.
Volume: 18
Issue: 3
Page: 1224-1228
Publish at: 2020-06-01

The new trend for search engine optimization, tools and techniques

10.11591/ijeecs.v18.i3.pp1568-1583
Asim Shahzad , Deden Witarsyah Jacob , Nazri Mohd Nawi , Hairulnizam Mahdin , Marheni Eka Saputri
Search Engines are used to search any information on the internet. The primary objective of any website owner is to list their website at the top of all the results in Search Engine Results Pages (SERPs). Search Engine Optimization is the art of increasing visibility of a website in Search Engine Result Pages. This art of improving the visibility of website requires the tools and techniques; This paper is a comprehensive survey of how a Search Engine (SE) works, types and parts of Search Engine and different techniques and tools used for Search Engine Optimization (SEO.) In this paper, we will discuss the current tools and techniques in practice for Search Engine Optimization.
Volume: 18
Issue: 3
Page: 1568-1583
Publish at: 2020-06-01
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