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29,758 Article Results

Channel Capacity Maximization using NQHN Approach at Heterogeneous Network

10.11591/ijece.v9i4.pp2593-2602
savitha patil , A.M. Bhavikatti
In present scenario, the high speed data transmission services has pushed limits for wireless communication network capacity, at same time multimedia transmission in real-time needs provision of QoS, therefore the network capacity and small cell coverage has comes with lots of challenges. Improving the channel capacity and coverage area within the available bandwidth is necessary to provide better QoS to users, and improved channel capacity for the FCUs and MCUs in network. In this paper, we are proposing an NQHN approach that incorporate with efficient power allocation, improving the channel capacity by optimized traffic scheduling process in a small cell HetNets scenario. This work efficiently handle the interference with maintaining the user QoS and the implemented power controller uses HeNB power as per the real time based approach for macro-cell and femto-cell. Moreover, we consider the real traffic scenario to check the performance of our proposed approach with respect to existing algorithm
Volume: 9
Issue: 4
Page: 2593-2602
Publish at: 2019-08-01

A 28 GHz 0.18-μm CMOS cascade power amplifier with reverse body bias technique

10.12928/telkomnika.v17i4.12761
A. F.; Universiti Malaysia Perlis Hasan , S. A. Z.; Universiti Malaysia Perlis Murad , F. A.; Universiti Malaysia Perlis Bakar
A 28 GHz power amplifier (PA) using CMOS 0.18 μm Silterra process technology is reported. The cascade configuration has been adopted to obtain high Power Added Efficiency (PAE). To achieve low power consumption, the input stage adopts reverse body bias technique. The simulation results show that the proposed PA consumes 32.03mW and power gain (S21) of 9.51 dB is achieved at 28 GHz. The PA achieves saturated power (Psat) of 11.10 dBm and maximum PAE of 16.55% with output 1-dB compression point (OP1dB) 8.44 dBm. These results demonstrate the proposed power amplifier architecture is suitable for 5G applications.
Volume: 17
Issue: 4
Page: 1859-1866
Publish at: 2019-08-01

Real time object customization in CAD system

10.11591/ijeecs.v15.i2.pp1066-1075
Z. F. Z. Abidin , M. N. Osman Zahid
Object customization in Computer Aided Design (CAD) is a method used to modify the sketch parameters and change the model geometries. This method is one of important features in part modelling which empowered CAD user to simply modify their product. The conventional method of modifying CAD model is usually relied on the manual editing. This paper outlines a development of program than can be integrated in CAD/CAM system for real time object customization. It uses Visual Basic (VB) programming with custom Graphical User Interface (GUI) generated in NX10 (CAD/CAM software) interface. The main contribution of this research is a tool for real time object customization that capable to assist the modification of 3D model. In order to develop the tool, 3D model modification instructions are translated into programming codes by using Journaling tools in NX interface. Editable parameters are identified based on the model shapes. The related codes are reconstructed, modified and linked to the functional GUI.  This allows user to simply modify the model shapes in real time with minimum process steps. The performance of the method is evaluated in terms of the reduction of process steps and time in modifying the 3D model in CAD system. All the findings and details of approach are presented.
Volume: 15
Issue: 2
Page: 1066-1075
Publish at: 2019-08-01

Low-cost quadrotor hardware design with PID control system as flight controller

10.12928/telkomnika.v17i4.9529
Adnan Rafi; Politeknik Sukabumi Al Tahtawi , Maulana; Politeknik Sukabumi Yusuf
In designing an Unmanned Aerial Vehicle (UAV), such as quadrotor, sometimes an engineer should consider the required cost that is relatively expensive. As we know, quadrotor is one of robots that very usefull and has several advantages for human needs such as disaster area monitoring, air quality monitoring, area mapping, aerial photography, and surveillance. Thus, designing a rapid quadrotor with low-cost components and simple control system needs to be considered here. This paper presents design and implementation of a quadrotor using relatively low-cost components with Proportional Integral Derivative (PID) control system as its controller. The components used consist of microcontroller, Inertial Measurement Unit (IMU) sensor, Brushless Direct Current (BLDC) motor, Electronic Speed Control (ESC), remote control unit, battery, and frame. These components can be easily found in the electronic markets, especially in Indonesia. As an addition, this paper also describes PID control system as flight controller. A simple economic analysis is presented to clarify the cost in designing this quadrotor. Based on experimental testing result, the quadrotor able to fly stably with PID controller although there still overshoot at the attitude responses.
Volume: 17
Issue: 4
Page: 1923-1930
Publish at: 2019-08-01

FPGA-based implementation of speech recognition for robocar control using MFCC

10.12928/telkomnika.v17i4.12615
Bayuaji; Telkom University Kurniadhani , Sugondo; Telkom University Hadiyoso , Suci; Telkom University Aulia , Rita; Telkom University Magdalena
This research proposes a simulation of the logic series of speech recognition on the MFCC (Mel Frequency Spread Spectrum) based FPGA and Euclidean Distance to control the robotic car motion. The speech known would be used as a command to operate the robotic car. MFCC in this study was used in the feature extraction process, while Euclidean distance was applied in the feature classification process of each speech that later would be forwarded to the part of decision to give the control logic in robotic motor. The test that has been conducted showed that the logic series designed was precise here by measuring the Mel Frequency Warping and Power Cepstrum. With the achievement of logic design in this research proven with a comparison between the Matlab computation and Xilinx simulation, it enables to facilitate the researchers to continue its implementation to FPGA hardware.
Volume: 17
Issue: 4
Page: 1914-1922
Publish at: 2019-08-01

A comparative analysis of the tracking angles and fixed angle systems during sunny and cloudy days under Iraqi conditions

10.11591/ijeecs.v15.i2.pp565-570
Talib Sabah Hussein , Kadhim Nasir Fadhil , Zaid H. Al-Tameemi
This paper describes design tow systems tracking angles and fixed angle solar panel to improve the performance of solar energy, during the sunny and cloudy days. Depending on the development of the solar tracking system and amount of solar energy captured by the solar panel per day actually, the project is designed with AT 89552 MC depending upon the light falls on (LDR), data will be reading by AT 89552 MC. and changing the direction of a motor in this direction the solar panel will be moving to capture the maximum of solar energy. The tracking angle solar panel has been efficient than a fixed angle. The results show that the tracking angle solar panel has been more efficient than a fixed angle in sunny and cloudy days in morning and afternoon. The tracking angles system generating higher power than the fixed angle system in a morning. The maximum power occurred during the tracking angles system and fixed angle system in the morning, due to drop efficiency of the panels they get heated during the afternoon.
Volume: 15
Issue: 2
Page: 565-570
Publish at: 2019-08-01

Co-clustering algorithm for the identification of cancer subtypes from gene expression data

10.12928/telkomnika.v17i4.12773
Logenthiran; Universiti Teknologi Malaysia Machap , Afnizanfaizal; Universiti Teknologi Malaysia Abdullah , Zuraini Ali; Universiti Teknologi Malaysia Shah
Cancer has been classified as a heterogeneous genetic disease comprising various different subtypes based on gene expression data. Early stages of diagnosis and prognosis for cancer type have become an essential requirement in cancer informatics research because it is helpful for the clinical treatment of patients. Besides this, gene network interaction which is the significant in order to understand the cellular and progressive mechanisms of cancer has been barely considered in current research. Hence, applications of machine learning methods become an important area for researchers to explore in order to categorize cancer genes into high and low risk groups or subtypes. Presently co-clustering is an extensively used data mining technique for analyzing gene expression data. This paper presents an improved network assisted co-clustering for the identification of cancer subtypes (iNCIS) where it combines gene network information with gene expression data to obtain co-clusters. The effectiveness of iNCIS was evaluated on large-scale Breast Cancer (BRCA) and Glioblastoma Multiforme (GBM). This weighted co-clustering approach in iNCIS delivers a distinctive result to integrate gene network into the clustering procedure.
Volume: 17
Issue: 4
Page: 2017-2024
Publish at: 2019-08-01

Energy harvesting half-duplex AF power splitting protocol relay network over rician channel in case of maximizing capacity

10.12928/telkomnika.v17i4.11086
Phu Tran; Industrial University of Ho Chi Minh City Tin , Minh; Ton Duc Thang University Tran , Tan N.; Ton Duc Thang University Nguyen , Tran Thanh; Van Hien University Trang
In this letter, we propose a novel power splitting protocol for energy harvesting half-duplex AF relaying communication systems. In our proposed system, the relay harvests energy from the source transmissions, by employing adaptive PS protocol, for powering the retransmissions to the destination. The proposed model system is investigated in cases maximize and non-maximize ergodic capacity. Firstly, we perform the analytical mathematical analysis for deriving the integral closed-form expression of the outage probability and the ergodic capacity. Then, the analytical analysis of the system performance can be convinced by Monte-Carlo simulation with helping Mat Lab software. Finally, the numerical analysis provides practical insights into the effect of various system parameters on the system performance of the proposed system. This paper can be considered as a recommendation for the energy harvesting communication network.
Volume: 17
Issue: 4
Page: 1615-1624
Publish at: 2019-08-01

Design and implementation of single bit error correction linear block code system based on FPGA

10.12928/telkomnika.v17i4.12033
Abdullah Mohammed A.; Northern Technical University Hamdoon , Zaid Ghanim; Northern Technical University Mohammed , Emad A.; Northern Technical University Mohammed
Linear block code (LBC) is an error detection and correction code that is widely used in communication systems. In this paper a special type of LBC called Hamming code was implemented and debugged using FPGA kit with integrated software environments ISE for simulation and tests the results of the hardware system. The implemented system has the ability to correct single bit error and detect two bits error. The data segments length was considered to give high reliability to the system and make an aggregation between the speed of processing and the hardware ability to be implemented. An adaptive length of input data has been consider, up to 248 bits of information can be handled using Spartan 3E500 with 43% as a maximum slices utilization. Input/output data buses in FPGA have been customized to meet the requirements where 34% of input/output resources have been used as maximum ratio. The overall hardware design can be considerable to give an optimum hardware size for the suitable information rate.
Volume: 17
Issue: 4
Page: 1785-1795
Publish at: 2019-08-01

Parallel Operation of Current-Source Inverter for Low-Voltage High-Current Grid-Connected Photovoltaic System

10.11591/ijece.v9i4.pp2220-2229
Suroso Suroso , Daru Tri Nugroho , Amran Amran , Toshihiko Noguchi
Solar energy is very potential to be developed in a tropical country such as in Indonesia. This energy source is eco-friendly because it can eliminate air pollution such as caused by conventional fossil fuels. This research article presents analysis results of a novel grid-connected photovoltaic system using low-voltage high-current system. The electrical energy produced by the photovoltaic system was sent into the electrical power grid using two or more H-bridge current source inverters operated in parallel. The proposed system is very suitable for large size photovoltaic system because of its some merits. The inverter circuits work generating sinusoidal output currents and controlling the power delivered into the grid. The test results of the new system showed that the system worked properly as interface between photovoltaic system and the electrical grid delivering high ac current with low harmonic distortion.
Volume: 9
Issue: 4
Page: 2220-2229
Publish at: 2019-08-01

Enhanced symmetrical split ring resonator for metallic surface crack detection

10.12928/telkomnika.v17i4.12939
Rammah A.; Universiti Teknikal Malaysia Melaka (UTeM) Alahnomi , Z.; Universiti Teknikal Malaysia Melaka (UTeM) Zakaria , Zulkalnain Mohd; Universiti Teknikal Malaysia Melaka (UTeM) Yussof , Tole; Universitas Ahmad Dahlan Sutikno , Ammar; Universiti Teknikal Malaysia Melaka (UTeM) Alhegazi , Ahmed Ismail; Saudi Electronic University Abu-Khadrah
An enhanced sensor based on symmetrical split ring resonator (SSRR) functioning at microwave frequencies has been proposed in order to detect and characterize the metal crack of the materials. This sensor is based on perturbation theory, in which the dielectric properties of the material affect the quality factor and resonance frequency of the microwave resonator. Conventionally, coaxial cavity, waveguide, dielectric resonator techniques have been used for characterizing materials. However, these techniques are often large, and expensive to build, which restricts their use in many important applications. Thus, the enhanced bio-sensing technique presents advantages such as high measurement sensitivity with the capability of suppressing undesired harmonic spurious and permits potentially metal crack material detection. Hence, using a High Frequency Structure Simulator (HFSS) software, the enhanced sensor is modeled and the reflection S11 is performed for testing the aluminum metal with crack and without crack at the frequency range of 100 MHz to 3GHz. Variation of crack width and depth has been investigated and the most obvious finding emerged from this study is that the ability of detecting a minimum of sub-millimeter crack width and depth which is a round 10 𝛍m width or depth where the minimum shift of reflected frequency is recorded at 6.2 MHz and 3 MHz for crack width and depth respectively. The enhanced SSRR provides high capability of detecting small crack defection by utilizing the interaction between coupled gap resonators and it is useful for various applications such as aircraft fuselages, nuclear power plant steam generator tubing, and steel bridges and for others that can be compromised by metal fatigue.
Volume: 17
Issue: 4
Page: 2107-2115
Publish at: 2019-08-01

Neurocomputing fundamental climate analysis

10.12928/telkomnika.v17i4.11788
Rezzy Eko; The National University of Malaysia Caraka , Sakhinah Abu; The National University of Malaysia Bakar , Muhammad; BMKG Tahmid , Hasbi; Diponegoro University Yasin , Isma Dwi; UIN Sunan Gunung Djati Kurniawan
Rainfall is a natural phenomenon that needs to be studied more deeply and interesting to be analyzed. It involves numbers of human activities such as aviation, agriculture, fisheries, and also disaster risk reduction. Moreover, the characteristics of rainfall data follows seasonality, fluctuation, not normally distributed and it makes traditional time series challenging to use. Therefore, neurocomputing model can be used as an alternative to extraction information from rainfall data and give high performance also accuracy. In this paper, we give short preview about SST Anomalies in Manado, Northern Sulawesi and at the same time comparing the performance of rainfall forecasting by using three types of neurocomputing methods such as Generalized Regression Neural Network (GRNN), Feed forward Neural Network (FFNN), and Localized Multi Kernel Support Vector Regression (LMKSVR). In a nutshell, all of neurocomputing methods give highly accurate forecasting as well as reach low MAPE FFNN 1.65%, GRNN 2.65% and LMKSVR 0.28%, respectively.
Volume: 17
Issue: 4
Page: 1818-1827
Publish at: 2019-08-01

Smart prepaid traffic fines system using RFID, IoT and mobile app

10.12928/telkomnika.v17i4.10771
Salam A. W.; University of Kufa Al-abassi , Karrar Y. A.; University of Kufa Al-bayati , Mohammad R. R.; University of Kufa Sharba , Layth; University of Kufa Abogneem
This work is intended to deliver an intelligent traffic system using radio frequency identification (RFID) technology. It designed and implemented in a way where fines are autonomously registered. In addition, a mobile app was built to assist traffic officers managing their field works. Low cost equipment’s have been used such as RFID technology, passive tags, processing unit (personal computer), and a connection system. First stage is represented by collecting data using the RFID, where it reads any identified tag that attached with vehicles. Next, a certain data are transmitted to the server using internet network communication system. The server is responsible for processing these data according to a pre-defined rules. Finally, police officers can use the mobile app to perform several tasks according the processed data such as monitoring a specific car, register a new car ID and others.
Volume: 17
Issue: 4
Page: 1828-1837
Publish at: 2019-08-01

A transition from manual to Intelligent Automated power system operation -A Indicative Review

10.11591/ijece.v9i4.pp2274-2280
Yamanappa N. Doddamani , U. C. Kapale
This paper reviews the transition of the power system operation from the traditional manual mode of power system operations to the level where automation using Internet of Things (IOT) and intelligence using Artificial Intelligence (AI) is implemented. To make the review paper brief only indicative papers are chosen to cover multiple power system operation based implementation. Care is taken there is lesser repeatation of similar technology or application be reviewed. The indicative review is to take only a representative literature to bypass scrutinizing multiple literatures with similar objectives and methods. A brief review of the slow transition from the traditional to the intelligent automated way of carrying out power system operations like the energy audit, load forecasting, fault detection, power quality control, smart grid technology, islanding detection, energy management etc is discussed .The Mechanical Engineering Perspective on the basis of applications would be noticed in the paper although the energy management and power delivery concepts are electrical.
Volume: 9
Issue: 4
Page: 2274-2280
Publish at: 2019-08-01

Online video-based abnormal detection using highly motion techniques and statistical measures

10.12928/telkomnika.v17i4.12753
Ahlam; Universiti Teknologi Malaysia Al-Dhamari , Rubita; Universiti Teknologi Malaysia Sudirman , Nasrul Humaimi; Universiti Teknologi Malaysia Mahmood , Nor Hisham; Universiti Teknologi Malaysia Khamis , Azli; Universiti Teknologi Malaysia Yahya
At the essence of video surveillance, there are abnormal detection approaches, which have been proven to be substantially effective in detecting abnormal incidents without prior knowledge about these incidents. Based on the state-of-the-art research, it is evident that there is a trade-off between frame processing time and detection accuracy in abnormal detection approaches. Therefore, the primary challenge is to balance this trade-off suitably by utilizing few, but very descriptive features to fulfill online performance while maintaining a high accuracy rate. In this study, we propose a new framework, which achieves the balancing between detection accuracy and video processing time by employing two efficient motion techniques, specifically, foreground and optical flow energy. Moreover, we use different statistical analysis measures of motion features to get robust inference method to distinguish abnormal behavior incident from normal ones. The performance of this framework has been extensively evaluated in terms of the detection accuracy, the area under the curve (AUC) and frame processing time. Simulation results and comparisons with ten relevant online and non-online frameworks demonstrate that our framework efficiently achieves superior performance to those frameworks, in which it presents high values for he accuracy while attaining simultaneously low values for the processing time.
Volume: 17
Issue: 4
Page: 2039-2047
Publish at: 2019-08-01
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