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31,456 Article Results

Transformation and dynamic visualization of images from computer through an FPGA in a matrix of LED

10.12928/telkomnika.v17i6.12710
Edwar Jacinto; Universidad Distrital Francisco José de Caldas Gómez , Fernando Martínez; Universidad Distrital Francisco José de Caldas Santa , Holman Montiel; Universidad Distrital Francisco José de Caldas Ariza
This article shows the implementation of a system that uses a graphic interface to load a digital image into a programmable logic device, which is stored in its internal RAM memory and is responsible for visualizing it in a matrix of RGB LEDs, so that This way, the LEDs show an equivalent to the image that was sent from the PC, conserving an aspect ratio and respecting as much as possible the color of the original image. To carry out this task, a Matlab script was designed to load the image, convert and format the data, which are transmitted to the FPGA using the RS232 protocol. The FPGA is in charge of receiving them, storing them and generating all the signals of control and synchronization of the system including the control of the PWM signals necessary to conserve the brightness of each one of the LEDs. This system allows the visualization of static images in standard formats and, in addition, thanks to the flexibility of the hardware used, it allows the visualization of moving images type GIF.
Volume: 17
Issue: 6
Page: 3003-3009
Publish at: 2019-12-01

Interface protocol design: a communication guide for indoor FANET

10.12928/telkomnika.v17i6.13296
B.O.; Ahmadu Bello University Zaria Sadiq , A. T.; Ahmadu Bello University Zaria Salawudeen , Y. A.; Ahmadu Bello University Zaria Sha’aban , E. A.; Ahmadu Bello University Zaria Adedokun , M. B.; Ahmadu Bello University Zaria Mu’azu
The present and the future routing protocols in relation to the high throughput requirement, adaptivity to fast-changing link topology and speed makes the choice of routing protocol for unmanned aerial vehicle communication important. Due to this fact, an efficient routing protocol is highly dependent on the nature of the communication link. A flexible solution that presents these features is the use of light fidelity as a communication medium. Therefore, this paper presents the design of an interface protocol for indoor Flying Ad-hoc Network specific routing protocol using light fidelity as a communication link. The interface protocol governs communication when UAV move in a swarm. The architecture, the state machine model is discussed in this paper. Results of the design are validated via simulation using the NS3 in terms of packet delivery ratio and throughput.
Volume: 17
Issue: 6
Page: 3175-3182
Publish at: 2019-12-01

Wayfinding learning techniques and its challenges: a case study at malaysian association for the blind (MAB)

10.11591/ijeecs.v16.i3.pp1562-1568
Nazatul Naquiah Abd Hamid , Wan Adilah Wan Adnan , Fariza Hanis Abdul Razak
Navigating safely in the real environment especially in the outdoor setting requires a blind person to be equipped with the spatial knowledge and possess the skills in mobility and orientation. The aims of this study are to investigate the existing wayfinding learning techniques taught to blind people and to identify the challenges during the teaching and learning processes. A two days of observation during a mobility practical session was conducted at Malaysian Association for the Blind (MAB). The first objective was to explore the current techniques used by mobility instructor to teach visually impaired students for a wayfinding and second, to identify the challenges faced by the mobility instructor and the visually impaired students in the teaching and learning processes of wayfinding. The study discovered that the major problem faced by the mobility instructor was with the lack of teaching aids to describe a new environment to visually impaired students. This leads to the lack of time that caused the visually impaired students perceived insufficient information which was hard for them to construct the intended cognitive maps. From the findings, this paper concludes by discussing the recommendations primarily on the use of technology in addressing the problems identified in this study.
Volume: 16
Issue: 3
Page: 1562-1568
Publish at: 2019-12-01

Design and implementation of low power consumption wireless sensor node

10.12928/telkomnika.v17i6.12047
Djadour; University of Mohamed Bachir El Ibrahimi Imededdin , Aidel; University of Mohamed Bachir El Ibrahimi Salih , Hicham; Ferhat Abbas University of Setif-1 Medkour
This work proposes an implementation of wireless sensor node characterized by its very low power consumption. The node comprises three main components: Xbee module, low power PIC microcontroller and digital sensor. The node can be set to sense then transmit data via one of two transmission methods: periodic and by interruptions. To evaluate the power consumption; currents in the node is measured during the different transmission stages for both methods. As a result, a significant reduction in the power consumption is shown particularly in sleep mode compared to conventional transmission methods. The characteristic of low power consumption makes the proposed node practically ecologic. It can also be fed with the extrem low power supplied by an energy harvesting system.
Volume: 17
Issue: 6
Page: 2729-2734
Publish at: 2019-12-01

Modelling of wireless sensor networks for detection land and forest fire hotspot

10.12928/telkomnika.v17i6.12971
Evizal Abdul; Universitas Islam Riau Kadir , Hitoshi; Chiba University Irie , Sri Listia; Universitas Islam Riau Rosa , Mahmod; Universiti Teknologi Petronas Othman
Indonesia located in South East Asia countries with tropical region, forest fires in Indonesia is one of big issue and disaster because it happens in almost of every year, this is because of some of region consist of peat land that high risk for fire especially in dry season. Riau Province is one of region that regularly incident of forest fire with affected the length and breadth of Indonesia. Propose development of Wireless Sensor Networks (WSNs) for detection of land and forest fire hotspot in Indonesia as well as one of the main consents in this research, case location in Riau province is at one of the regions that high risk forest fire in dry season. WSNs technology used for ground sensor system to collect environmental data. Data training for fire hotspot detection is done in data center to determine and conclude of fire hotspot then potential to become big fire. The deployment of sensors located at several locations that has potential for fire incident, especially as data shown in previous case and forecast location with potential fire happen. Mathematical analysis is used in this case for modelling number of sensors required to deploy and the size of forest area. The design and development of WSNs give high impact and feasibility to overcome current issues of forest fire and fire hotspot detection in Indonesia. The development of this system used WSNs highly applicable for early warning and alert system for fire hotspot detection.
Volume: 17
Issue: 6
Page: 2772-2781
Publish at: 2019-12-01

Performance analysis of CIC multirate filter in cognitive radio for efficient pulse shaping in wireless domain

10.11591/ijict.v8i3.pp184-190
A. S. Kang , Er.Vishal Sharma , Prof.Renu Vig
In this paper, the Performance Analysis of Cascade Integrator Comb Filter in context of Filter Bank Multicarrier Transmission has been presented for Cognitive radio. A benefit of the chosen technique is that, a CIC filter can be designed with a slight adjustment in parameters of interest. The entire performance of the filters designed is analyzed and evaluated by analyzing Normalized Amplitude versus Normalized Frequency plots at typical K and N values. The roll off factor plays a significant role in performance analysis of CIC filter. The results shown are a useful advance for rf design engineers working in the domain of multirate signal processing in wireless communication. To ensure the acceptable performance of Enhanced FBMC, computational complexity, and transmission burst length need to be reduced. The effect of Stop band attenuation on the edges of Magnitude and Frequency responses has been studied under constraints such as Lp, K and M during different simulation runs.
Volume: 8
Issue: 3
Page: 184-190
Publish at: 2019-12-01

Assessing the intelligence of a student through TIC-TAC-TOE game for career guidance

10.11591/ijece.v9i6.pp5545-5551
Sastry Kodanda Rama Jammalamadaka , Chandra Prakash Vudatha
In order to provide Career Guidance by an expert system to a student, apart from his/her academic record, it is necessary to assess various psychological factors of the student like Intelligence, patience and perseverance, Learning ability and Speed of solving problem, etc. The outcome of this research work is an expert system called Tic-Tac-Toe Game Playing Career Guidance System (TTT-GP-CGS) that is useful to assess the psychological factors of the student through Tic-Tac-Toe Game Playing, build the cognitive model of the student and predict the appropriate career(s) for the student. The system plays Tic-Tac-Toe game with the student several times. The average score obtained by the student reflects his/her intelligence. The average time taken by the student for playing the game reflects student's speed of solving problem. The number of attempts the student makes reflects the students patience and perseverance. When the student plays the game with the spaystem every day, if the student's  score increases day by day, it reflects that the student has good learning ability. In this way the system will assess the psychological factors of the student and builds the cognitive model of the student. Internally the system converts the quantitative scores into qualitative scores. The system maintains a table of careers and the expected levels of psychological factors that are required from student's side to carry out the career successfully. The system invokes a matching process  by considering the cognitive model of the student and the table of careers, and predicts the career(s) suitable  to the student.
Volume: 9
Issue: 6
Page: 5545-5551
Publish at: 2019-12-01

Implementing bezier surface interpolation and N.N in shape reconstruction and depth estimation of a 2D image.

10.11591/ijeecs.v16.i3.pp1609-1616
Mohamed Ibrahim Shujaa , Ammar Alauldeen Abdulmajeed
This paper considers a 2D image depth estimation of an object and reconstructed it into a 3D object image. The 2D image is defined by slices contains asset of points that are located along the object contours and within the object body. The depth of these slices are estimated using the neural network technique (N.N), where five factors (slice length, angle of incident light and illumination of some of point that located along the 2D object, namely control points)are used as inputs to the network the estimated depth of the slice are mapped into a 3D surface using the interpolation technique of the Bezier spleen surface. The experimental results showed an effective performance of the proposed approach.
Volume: 16
Issue: 3
Page: 1609-1616
Publish at: 2019-12-01

Benefits of triple-layer remote phosphor structure in improving color quality and luminous flux of white LED

10.12928/telkomnika.v17i6.13094
Thuc Minh; Nha Trang University Bui , Phan Xuan; National Key Laboratory of Digital Control and System Engineering Le , Dinh Hoang; Ton Duc Thang University Bach , Nguyen Doan; Ton Duc Thang University Quoc Anh
Remote phosphor structure has higher luminous efficiency comparing to that of both conformal phosphor and in-cup phosphor structures. However, it is hard to control the color quality of remote phosphor structure, and this issue has become one of the most researchable objectives to many researchers in recent years. Up to now, there are two remote phosphor structures applied to improve the color quality, including dual-layer phosphor configuration and triple-layer phosphor configuration. The purpose of this research is to select one of those configurations to have multi-chip white LEDs (WLEDs) achieved the highest color rendering index (CRI), color quality scale (CQS), luminous efficacy (LE), and color uniformity. In this research, WLEDs with two correlated color temperatures (CCT) of 6600K and 7700K were applied. The obtained results showed that triple-layer phosphor configuration is more outstanding in CRI, CQS, and LE. Moreover, the color deviation has been significantly reduced, which means the color uniformity has been enhanced with the application of triple-layer phosphor configuration. These results can be proven by scattering properties of phosphor layers based on Mie theory. Thus, the researched results have become a reliable and valuable reference for manufacturing higher-quality WLEDs.
Volume: 17
Issue: 6
Page: 2940-2947
Publish at: 2019-12-01

Quality of Service in bandwidth adapted hybrid UMTS/WLAN interworking network

10.12928/telkomnika.v17i6.10262
R.; JEPPIAAR SRR Engineering College Shankar , P.; Pondicherry Engineering College Danajayan
Integration of Universal Mobile Telecommunications System (UMTS) and Wireless Local Area Network (WLAN) result in ubiquitous connection for end users. In the integrated network, ensuring the quality of service to users and enhancing capacity of network are prominent issues. Bandwidth adaptation technique is one of the solutions to overcome these issues. Bandwidth adaptation based on per flow and per class schemes were proposed for loosely coupled interworking network. In this paper, hybrid coupled UMTS and WLAN interworking network is analyzed with bandwidth adaptation based on per flow and per class schemes and the performances have been compared. Simulation result shows that the proposed hybrid coupled interworking network with bandwidth adaptation based on per class scheme performs better with enhanced quality of service and network capacity.
Volume: 17
Issue: 6
Page: 2803-2811
Publish at: 2019-12-01

Feature selection for human membrane protein type classification using filter methods

10.11591/ijai.v8.i4.pp375-381
Glenda Anak Kaya , Nor Ashikin Mohamad Kamal
As the number of protein sequences in the database is increasing, effective and efficient techniques are needed to make these data meaningful. These protein sequences contain redundant and irrelevant features that cause lower classification accuracy and increase the running time of the computational algorithm. In this paper, we select the best features using Minimum Redundancy Maximum Relevance (mRMR) and Correlationbased feature selection (CFS) methods. Two datasets of human membrane protein are used, S1 and S2. After the features have been selected by mRMR and CFS, K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) classifiers are used to classify these membrane proteins. The performance of these techniques is measured using accuracy, specificity and sensitivity. and F-measure. The proposed algorithm managed to achieve 76% accuracy for S1 and 73% accuracy for S2. Finally, our proposed methods present competitive results when compared with the previous works on membrane protein classification.
Volume: 8
Issue: 4
Page: 375-381
Publish at: 2019-12-01

Mitigation of high voltage induction effect on ICCP system of gas pipelines: a field case study

10.12928/telkomnika.v17i6.12493
Rohana; Universitas Muhammadiyah Sumatera Utara Ismail , Arnawan; Malikussaleh University Hasibuan , Muzamir; School of Electrical System Engineering, University Malaysia Perlis Isa , Faizar; STKIP Bina Bangsa Getsempena Abdurrahman , Nurul; STKIP Bina Bangsa Getsempena Islami
An analysis of the high voltage induction effect on the impressed current cathodic protection (ICCP) system on pipelines parallel toward high voltage power lines was employed in this research. Mitigation of high voltage effect throught human and environment is necessary to implemented. Direct current induction was used to increase the electrical potential of the gas pipeline, from Klumpang to sicanang area, Indonesia. During the mitigation process, the highest induction value was obtained 0.00574 KV which is previously was 0.01732 KV, and occurred at the limit of the allowable secure touch tension value of 0.015 KV. The data that acquire from the measurement of test point of ICCP underneath the transmission line revealed a comparison data between field measurements occurred of mitigation process. The direct current induction method is found to be safe for ICCP system and environment.
Volume: 17
Issue: 6
Page: 3226-3231
Publish at: 2019-12-01

Compression and encryption for ECG biomedical signal in healthcare system

10.12928/telkomnika.v17i6.13240
Mustafa Emad; Universiti Teknikal Malaysia Melaka (UTeM) Hameed , Masrullizam Mat; Universiti Teknikal Malaysia Melaka (UTeM) Ibrahim , Nurulfajar Abd; Universiti Teknikal Malaysia Melaka (UTeM), Manap
The ECG data needs large memory storage device due to continuous heart rate logs and vital parameter storage. Thus, efficient compression schemes are applied to it before sending it to the telemedicine center for monitoring and analysis. Proper compression mechanisms can not only improve the storage efficiency but also help in faster porting of data from one device to another due to its compact size. Also, the collected ECG signals are processed through various filtering techniques to remove unnecessary noise and then compressed. In our scheme, we propose use of buffer blocks, which is quite novel in this field. Usage of highly efficient methods for peak detection, noise removal, compression and encryption enable seamless and secure transmission of ECG signal from sensor to the monitor. This work further makes use of AES 256 CBC mode, which is barely used in embedded devices, proves to be very strong and efficient in ciphering of the information. The PRD outcome of proposed work comes as 0.41% and CR as 0.35%, which is quite better than existing schemes. Experimental results prove the efficiency of proposed schemes on five distinct signal records from MIT-BIH arrhythmia datasets.
Volume: 17
Issue: 6
Page: 2826-2833
Publish at: 2019-12-01

Algorithm for assessing forest stand productivity index using leaf area index

10.11591/ijeecs.v16.i3.pp1311-1319
Faid Abdul Manan , Muhammad Buce Saleh , I Nengah Surati Jaya , Uus Saepul Mukarom
This paper describes a development of an algorithm for assessing stand productivity by considering the stand variables. Forest stand productivity is one of the crucial information that required to establish the business plan for unit management at the beginning of forest planning activity. The main study objective is to find out the most significant and accurate variable combination to be used for assessing the forest stand productivity, as well as to develop productivity estimation model based on leaf area index. The study found the best stand variable combination in assessing stand productivity were density of poles (X2), volume of commercial tree having diameter at breast height (dbh) 20-40 cm (X16), basal area of commercial tree of dbh >40 cm (X20) with Kappa Accuracy of 90.56% for classifying into 5 stand productivity classes. It was recognized that the examined algorithm provides excellent accuracy of 100% when the stand productivity was classified into only 3 classes. The best model for assessing the stand productivity index with leaf area index is y = 0.6214x - 0.9928 with R2= 0.71, where y is productivity index and x is leaf area index.
Volume: 16
Issue: 3
Page: 1311-1319
Publish at: 2019-12-01

An adaptive clustering and classification algorithm for Twitter data streaming in Apache Spark

10.12928/telkomnika.v17i6.11711
Raed A.; Noerthern Technical University Hasan , Royida A. Ibrahem; University of Diyala Alhayali , Nashwan Dheyaa; College of Engineering Zaki , Ahmed Hussien; AL Salam University Ali
On-going big data from social networks sites alike Twitter or Facebook has been an entrancing hotspot for investigation by researchers in current decades as a result of various aspects including up-to-date-ness, accessibility and popularity; however anyway there may be a trade off in accuracy. Moreover, clustering of twitter data has caught the attention of researchers. As such, an algorithm which can cluster data within a lesser computational time, especially for data streaming is needed. The presented adaptive clustering and classification algorithm is used for data streaming in Apache spark to overcome the existing problems is processed in two phases. In the first phase, the input pre-processed twitter data is viably clustered utilizing an Improved Fuzzy C-means clustering and the proposed clustering is additionally improved by an Adaptive Particle swarm optimization (PSO) algorithm. Further the clustered data streaming is assessed utilizing spark engine. In the second phase, the input pre-processed Higgs data is classified utilizing the modified support vector machine (MSVM) classifier with grid search optimization. At long last the optimized information is assessed in spark engine and the assessed esteem is utilized to discover an accomplished confusion matrix. The proposed work is utilizing Twitter dataset and Higgs dataset for the data streaming in Apache Spark. The computational examinations exhibit the superiority ofpresented approach comparing with the existing methods in terms of precision, recall, F-score, convergence, ROC curve and accuracy.
Volume: 17
Issue: 6
Page: 3086-3099
Publish at: 2019-12-01
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