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25,002 Article Results

Data Partition and Communication On Parallel Heuristik Model Based on Clonal Selection Algorithm

10.12928/telkomnika.v13i1.728
Ayi; School of Electrical Engineering and Informatics, Bandung Institute of Technology Purbasari , Iping Supriana; School of Electrical Engineering and Informatics, Bandung Institute of Technology Suwardi , Oerip Slamet; School of Electrical Engineering and Informatics, Bandung Institute of Technology Santoso , Rila; School of Electrical Engineering and Informatics, Bandung Institute of Technology Mandala
Researchers conducted experiments on parallel algorithms, which are inspired by the clonal selection, called Clonal Selection Algorithm (CSA). This algorithm is a population-based heuristic solution. Course-grained parallelism model applied to improve the execution time. Inter-process communication overhead is addressed by adjusting the communication frequencies and size of data communicated. In this research, conducted experiments on six parallel computing models represent all possible partitions and communications. Experiments conducted using data of NP-Problem, Traveling Salesman Problem (TSP). The algorithm is implemented using the model of message passing libraries using MPJExpress. Experiments conducted in a cluster computation environment. Result shows the best parallelism model is achieved by partitioning the initial population data at the beginning of communication and the end of generation. Communication frequency can be up to per 1% of the population size generated. Using four dataset from TSPLib, this reseache shows effect of the communication frequency that increased the best cost, from 44.16% to 87.01% for berlin52.tsp; from 9.61% to 53.43%  for kroA100.tsp, and from 12.22% to 17.18% for tsp225.tsp. With eight processors, using communication frequency will be reduced the execution time e.g 93.07%, 91.60%, 89.60%, 74.74% for burma14.tsp, berlin52.tsp, kroA100.tsp, and tsp225.tsp respectively. We conclude that frequency of communication greatly affects the execution time, and also the best cost. It improved execution time and best cost.
Volume: 13
Issue: 1
Page: 193-201
Publish at: 2015-03-01

Countering Node Misbehavior Attacks using Trust Based Secure Routing Protocol

10.12928/telkomnika.v13i1.1181
Adnan; Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru, Malaysia Ahmed , Kamalrulnizam; Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru, Malaysia Abu Bakar , Muhammad Ibrahim; Department of Information Technology, Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah Channa , Khalid; Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru, Malaysia Haseeb
Wireless sensor networks have gained remarkable appreciation over the last few years. Despite significant advantages and tremendous applications, WSN is vulnerable to variety of attacks. Due to resource constraint nature of WSN, applicability of traditional security solutions is debatable. Although cryptography, authentication and confidentiality measures help in preventing specific types of attacks but they cannot safeguard against node misbehavior attacks and come at significant cost. To address this problem, we propose a Trust Based Secure Routing Protocol (TBSRP) which adopts on-demand routing principle and relies on distributed trust model for the detection and isolation of misbehaving nodes. The TBSRP aims to establish shortest path that contain all trusted nodes, identify packet forwarding misbehavior caused by malicious and faulty nodes and reroute the traffic to other reliable paths. The performance of TBSRP is evaluated in terms of packet delivery ratio, average end-to-end delay, normalized routing load and average throughput. Simulations results show that TBSRP can achieve both high delivery ratio and throughput in presence of various numbers of misbehaving and faulty nodes.
Volume: 13
Issue: 1
Page: 260-268
Publish at: 2015-03-01

A Low Complexity Navigation Data Estimation Algorithm for Weak GNSS Signal Tracking

10.12928/telkomnika.v13i1.1268
Shunxiao; National University of Defense Technology Wu , Yangbo; National University of Defense Technology Huang , Shaojie; National University of Defense Technology Ni , Gang; National University of Defense Technology Ou
The computation load of traditional navigation data estimation algorithms for weak GNSS signal tracking increases exponentially with respect to the number of data bits needed to be estimated. To solve this problem, by adopting the dynamic programming philosophy, a navigation data bits estimation algorithm is proposed. The proposed algorithm uses the partial sum of correlation values as data bit combination searching branches. It can predict and exclude searching branches of data bit combination which have small coherent accumulated energy as soon as possible by angle quantification, thus reducing its computation load to be linearly related to the number of data bits needed to be estimated. Simulation results show that for signal of 500bps navigation data rate, the carrier track loop with a frequency discriminator implementing 0.12s coherent accumulation by navigation data estimation improves the tracking sensitivity up to 7 dB compared with traditional frequency discriminator under the same track accuracy constraint.
Volume: 13
Issue: 1
Page: 238-249
Publish at: 2015-03-01

Control Design of Wind Turbine System Using Fuzzy Logic Controller for Middle Voltage Grid

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4227
Soedibyo Soedibyo , Feby Agung Pamuji , Mochamad Ashari
This paper presents a  system wind turbine in order to have continously electricity supply for 20 kV grid. Output wind turbine controlled by dc-dc boost converter to produce maximum power in order to obtain the MPP (Maximum Power Point). Output of the converter is controlled by fuzzy logic to obtain the MPP (Maximum Power Point) wind turbine, thus the efficiency  wind turbine can be increased. The system of wind turbine is connected to 20 kV grid. From the simulation using matlab 2010 can be conclude that the controller can shift power to 75 % maximum power of wind turbine. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7167
Volume: 13
Issue: 3
Page: 476-482
Publish at: 2015-03-01

Implementation of Maximum Power Point Tracking on Photovoltaic Using Fuzzy Logic Algorithm

10.12928/telkomnika.v13i1.131
Arton Johan; Telkom University Lubis , Erwin; Faculty of Electrical Engineering Susanto , Unang; Telkom University Sunarya
Most energy sources that are commonly used in the world today are from fossils. This kind of energy is unrenewable and limited. Use of solar panels (Photovoltaic, PV) to generate electricity is growing fast and it can be used as an alternative energy instead of fossils. The problem faced by use of solar panels is that the generated power is not optimum for a particular load. It is always changing and influenced by the level of light (irradiance) and temperature. Therefore we need a way to maximize the power output of solar panels. Maximum Power Point Tracking (MPPT) is a method for finding its maximum power point. In this research, the MPPT is designed to locate the point of generated maximum power on solar panels. MPPT controller designed in this research is using fuzzy logic. The voltage and current from the solar panels will be fed to the fuzzy logic controller. The output of fuzzy logic in the form of a pulse width modulation (PWM) signal regulates the process of switching boost converter. Experimental results show that output power from PV increase 15.9% and the efficiency of designed boost converter ranges in approximatelly 90.97 %
Volume: 13
Issue: 1
Page: 32-40
Publish at: 2015-03-01

Performance Analysis of Load Balancing Techniques in Cloud Computing Environment

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4239
Raviteja Kanakala , V.Krishna Reddy
Cloud computing is a forerunner among the technologies emerging today in the IT world. It has already been some years after the emergence of cloud technology but still the world didn’t get the complete fruits of cloud computing. Out of the many revolutionary results expected as outcomes from the cloud computing technology there were very few achieved and the rest of the expected are still under research. Two of the main obstacles in the usage of cloud computing are Cloud Security and Performance stability. Load Balancing is one of the elements that shows impact on the performance stability of cloud computing. In this paper we discuss about load balancing and different algorithms that are proposed for distributing the load among the nodes and also the parameters that are taken into account for calculating the best algorithm to balance the load. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7237 
Volume: 13
Issue: 3
Page: 568-573
Publish at: 2015-03-01

An Improved AP-Wishart Classifier for Polarimetric SAR Images by Incorporating a Textural Features

10.12928/telkomnika.v13i1.1318
Chen; China University of Mining and Technology Jun , Du; China University of Mining and Technology Pei-jun , Tan; China University of Mining and Technology Kun
An improved classifier is presented by imposing a textural feature to solve the problems of vague initial clustering results, low classification accuracy and unchangeable class number in the iterative classifier, based on H/Alpha decomposition and the complex Wishart distribution for polarimetric SAR (Synthetic Aperture Radar) images. First, wavelet decomposition is used to extract texture from polarimetric SAR images. Second, an AP (Affinity Propagation) algorithm is applied to create the initial clustering result. This result is then applied to the iterative classifier based on the complex Wishart distribution to obtain the final result. Two PALSAR (Phased Array type L-band Synthetic Aperture Radar) images from ALOS (Advanced Land Observing Satellite) are used for the experiments carried out on experimental plots in Binhai Prefecture, Yancheng City, Jiangsu Province. The results show that the improved classifier has some merits, including clear initial clustering results, flexible class number and high classification accuracy. The improved classifier has better overall performance than the original, and can be effectively applied to the classification of polarimetric SAR images.
Volume: 13
Issue: 1
Page: 146-154
Publish at: 2015-03-01

A scoping review of economic evaluations of post-traumatic stress disorder patients’ intervention

10.11591/ijphs.v14i1.23725
Veronica Dwarika , Amos Nnaemeka Amedu
Intervention programmes for patients with post-traumatic stress disorder (PTSD) have been extensively evaluated economically, and the related implementation costs are presumably high. This study reviewed the cost-effectiveness of PTSD intervention programmes and associated health benefits. The literature search was carried out between June and July 2023. The PRISMA guidelines for scoping review protocols were strictly followed. A literature search was conducted on the National Health Service (NHS) Economic Evaluation Database, PubMed, PsycInfo, and EconLit, this search yielded 16 studies. This review revealed that trauma-focused cognitive-behavioural therapy (+selective serotonin re-uptake inhibitor) (TF+CBT+SSRIs); prolonged exposure therapy; MDMA-assisted therapy (MDMA-AT); stepped care, screen and treatment; and the transmural trauma care model were cost-effective for PTSD treatment. The cost-effectiveness of intervention programmes that lasted 10 to 31 years was greater. In general, long-term intervention programmes have been associated with health benefits. It is also important to note that telemedicine, cognitive-behavioural therapy, biopsychosocial therapy, and individual therapeutic interventions are capital-intensive and inefficient. When disbursing funding for PTSD treatment around the world, the world health organisation (WHO) should keep in mind these identified interventions and the countries where they have been found to be cost-effective.
Volume: 14
Issue: 1
Page: 333-342
Publish at: 2015-03-01

Unbalanced Active Distribution Analysis with Renewable Distributed Energy Resources

10.12928/telkomnika.v13i1.960
Syafii; Andalas University Syafii , K. M.; Universiti Teknologi Malaysia Nor
This paper presents unbalanced active distribution system analysis with renewable distributed Energy Resources (DER). The renewable DER models have been considered are photovoltaic (PV) and Wind Turbine generation (WTG). The three-phase distribution load flow on the basis of the symmetrical components have been used in the analysis. The unbalanced active distribution system has been analized using IEEE 13 node feeder and IEEE 8500 node feeder with renewable DER units. The variation of wind speed (m/s) for WTG, solar radiation (W/m²) and temperature (°C) for PV have been simulated. The simulation results show that the proposed DER model can be used to analysis renewable DER impacts in unbalanced distribution system. The integration of renewable DER units into an existing distribution network can improve the voltage profile and reduce total system losses. The simulation results show that DERs size and location are important factors to improve voltage profile and line loss reduction.
Volume: 13
Issue: 1
Page: 21-31
Publish at: 2015-03-01

Color Image Enhancement Based on Ant Colony Optimization Algorithm

10.12928/telkomnika.v13i1.1274
Haibo; Hunan International Economics University Gao , Wenjuan; Hunan International Economics University Zeng
In the collection, transmission, decoding process, the images are likely to produce noise. Noise makes the image color distorted and the articulation dropped, and also affects the image quality. Due to different causes, there are different types of noise, and the impulse noise is most common among them which exert great influence on the image quality. This paper, according to the characteristics of the color image, combines the ant colony algorithm and weighted vector median filter method to put forward an algorithm for the impulse noise removal and the color image enhancement. This method finds the optimal filter bank parameter by ant colony optimization (ACO) and processes image points polluted by the noise to achieve the purpose of image enhancement and protect the image details and edge information. Simulation experiment proves the correctness and validity of this method.
Volume: 13
Issue: 1
Page: 155-163
Publish at: 2015-03-01

Computer program in sign language for controlling mobile objects and communicating with people

10.11591/ijphs.v14i1.24544
Khuralay Moldamurat , Aigul Tulembayeva , Askhat Ryspaev , Niyaz Belgibekov , Lyudmila Peryakina , Makhabbat Bakyt
This article emphasizes the need for effective communication methods for people with disabilities, focusing on gestures and finger movements. The study aims to address the communication support gap for this group by creating a specialized Kazakh IT dictionary. It explores practical ways to facilitate communication for people with disabilities through gestures, utilizing computer software for the IT dictionary. The article presents key variables, study design, and data analysis procedures. Results show computer programs effectively enable communication for individuals with disabilities. The study's novelty lies in the IT vocabulary covering gestures, benefiting pedagogy, education, and related fields. Computational linguistics, like automatic language processing and machine translation, enhances communication facilitation for the disabled. Practical recommendations are offered for implementing research findings, improving communication and overall quality of life for people with disabilities. In conclusion, the article stresses the importance of effective communication methods, especially gestures, for the disabled. The IT vocabulary creation through computational linguistics offers innovative ways to enhance communication accessibility, prompting further research.
Volume: 14
Issue: 1
Page: 502-518
Publish at: 2015-03-01

Received Signal Strength Indicator Node Localization Algorithm Based on Constraint Particle Swarm Optimization

10.12928/telkomnika.v13i1.1263
Songhao; Nanyang Normal University Jia , Cai; Nanyang Normal University Yang
Because the RSSI value greatly changes, the direct use of RSSI value has more errors in the positioning process as the basis to calculate the position of anchor nodes. This paper proposes a RSSI node localization algorithm based on constraint particle swarm optimization (PSO-RSSI). In the algorithm, particle swarm optimization is used to select anchor nodes set which are near the unknown node. The algorithm takes an element in the set, and measure distance between it and the other elements in the set. Then, the maximum likelihood method is used to calculate the coordinates. According to the difference between the calculated coordinates and the actual coordinates of the anchor node, the obtain coordinate of unknown node is corrected. When all the elements in the set perform such operation, the statistical methods are used to determine the coordinates of the unknown node. The algorithm embodies all the reference points influence on positioning, corrects the error problem on a single reference node positioning in the past. The simulation results show that the effect of the PSO-RSSI algorithm is more excellent.
Volume: 13
Issue: 1
Page: 221-229
Publish at: 2015-03-01

Toward a Framework for Indonesian Medical Question Generator

10.12928/telkomnika.v13i1.648
Wiwin; Institute Teknologi Bandung Suwarningsih , Iping; Institute Teknologi Bandung Supriana , Ayu; Institute Teknologi Bandung Purwarianti
Question generating is the task of automatically generating questions from various inputs such as raw text, database, or semantic representation. In this paper, we attempt to describe a general framework that could help develop and characterize efforts to medical Indonesian generates questions medical text. We propose a new style of question generation that actively uses sentences within a document as a source of answer. We use manually written rules to perform a sequence of general purpose a syntactic transformation (e.g. identification of keywords or key phrase to NER based on PICO frame) to turn a declarative sentence into questions. The final result of this research is a pattern of question and answer pairs, where the test results show the pattern matching algorithm precision value of 0.101 and a recall of 0.712.
Volume: 13
Issue: 1
Page: 357-363
Publish at: 2015-03-01

Lightning Air Terminal Collection Volume Assessment: A New Technique and Device

10.12928/telkomnika.v13i1.1354
Zainuddin; Universitas Sriwijaya Nawawi , Hussein; Universiti Teknologi Malaysia Ahmad , Muhammad; Universiti Teknologi Malaysia Abu Bakar Sidik , Lim Pai; Universiti Teknologi Malaysia Hung , Aulia; Universiti Teknologi Malaysia Aulia , Hamizah; Universiti Teknologi Malaysia Shahroom , Muhammad Irfan; Universitas Sriwijaya Jambak
For buildings, structures and facilities a Lightning Protection System (LPS) is very important. There are some components that affect the effectiveness of LPS. One of the components is the lightning air terminal. With reference to the facilities requiring lightning protection the position, the apparent height, and the angle of protection of lightning air terminals determines the collection volume (CV) of the protected area. The CV of direct strike lightning air terminals can change because of the facility is affected by natural disasters such as seismic tremor and flood. If such natural disasters do happen, there are possibilities that the facilities will not be fully protected from direct lightning strikes. The building and structure could be misalignment after the seismic tremor and flood related to earth movement. So for the safety of equipment and personnel, lightning protection system efficacy assurance is necessary. Therefore, there should be a technique and device to monitor the variation of collection volume afforded by every lightning air terminal on buildings and structures after the occurrence of a natural disaster. This paper presents a new technique as well as a new device to monitor the collection volume variation. A part of the device was obtained from a recycled moveable television antenna. This approach is not only practical, portable and cost effective but also incorporating the idea of environmental protection and recycling of used plastic materials.
Volume: 13
Issue: 1
Page: 13-20
Publish at: 2015-03-01

The effectiveness of using ID broth in identifying the outer membrane protein of Salmonella typhi

10.11591/ijphs.v14i1.23912
Pestariati Pestariati , Suhariyadi Suhariyadi
Typhoid fever is an infection that affects the digestive system. It spreads through contaminated food and drinks due to the Salmonella bacteria. One way to develop immunity against Salmonella typhi is by using outer membrane protein (OMP), which activates the cellular immune system. This research aimed to determine the effectiveness of using ID Broth to identify OMP Salmonella typhi. The study was conducted experimentally at the Institute of Tropical Disease from April 2023 to May 2023. For the study, we obtained three samples of Salmonella typhi isolated from East Java, and each sample was replicated three times. We isolated the bacteria and extracted the OMP to measure its levels and perform electrophoresis with SDS-PAGE. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) is a standard protein analysis method. To address sample loading challenges due to stacking gel transparency, an acidic dye was added to improve visibility without affecting gel performance. In this study nutrient agar from MacConkey medium and ID broth were used as variables. We cultured Salmonella typhi and extracted OMP using the sonication technique. We measured protein levels through the nanodrop method. Salmonella typhi from ID broth produced higher protein levels than Salmonella typhi cultured from MacConkey Medium. It affected the identification of OMP using SDS-PAGE. Lower protein levels lead to fewer protein molecules in the same band zone, causing reduced visibility and readability of the protein bands. The ID broth stabilizes the bacteria's condition before being grown on nutrient agar media.
Volume: 14
Issue: 1
Page: 48-55
Publish at: 2015-03-01
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