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28,910 Article Results

A Methodology for Characterizing Real-Time Multimedia Quality of Service in Limited Bandwidth Network

10.12928/telkomnika.v14i4.3295
Yoanes; Institut Teknologi Bandung Bandung , Idi; Institut Teknologi Bandung Sumardi
This paper presents how to characterize the quality of multimedia which consists of audio and video that are transmitted in real-time communication through the Internet with limited bandwidth. We developed a methodology of characterizing the multimedia Quality-of-Service (QoS) by measuring network parameters (i.e., bandwidth capacity, packet loss rate (PLR), and end-to-end delay) of testbed network and simulating the audio-video delivery according to the measured network parameters. The analysis of network parameters was aimed to describe the network characteristics. Multimedia QoS was characterized by conducting a simulation using data which was collected from the previous network characterization. A simulation network model was built using OMNet++ representing a delivery of audio-video in real-time while a background traffic was generated to represent a real condition of the network. Apllying the methodology in a network testbed in Indonesia’s rural area, the simulation results showed that audio-video could be delivered with accepted level of user satisfaction.
Volume: 14
Issue: 4
Page: 1534-1544
Publish at: 2016-12-01

Streamflow Prediction by Applying Generalized Regression Network with Time Series Decomposition Method

10.11591/ijeecs.v4.i3.pp611-616
Muhammad Tayyab , Jianzhong Zhou , Rana Adnan , Changqing Meng , Aqeela Zahra
Precise and correct estimation of streamflow is important for the operative progression in water resources systems. The artificial intelligence approaches; such as artificial neural networks (ANN) have been applied for efficiently tackling the hydrological matters like streamflow forecasting in this study at upper Yangtze River. The objective is to investigate the certainty of monthly streamflow by applying artificial neural networks including Generalized Regression Network (GRNN). To overcome the non-linearity problem of streamflow, artificial neural networks integrated with discrete wavelet transform (DWT). Data has been analyzed by comparing the simulation outputs of the models with the correlation coefficient (R) root mean square errors (RMSE). It is found that the decomposition technique DWT has ability to improve the forecasting results as compare to single applied artificial neural networks. Moreover, all applied models are separately applies on the peak values as well which also have showed that intergrated model has more ability to catch the peak values
Volume: 4
Issue: 3
Page: 611-616
Publish at: 2016-12-01

Optically Switched Frequency for Reconfigurable Dipole Antenna Using Photodiode Switches

10.12928/telkomnika.v14i4.4164
Erna Risfaula; Institut Teknologi Sepuluh Nopember Kusumawati , Yono Hadi; Institut Teknologi Sepuluh Nopember Pramono , Agus; Institut Teknologi Sepuluh Nopember Rubiyanto
The design, fabrication, and measurement of reconfigurable antenna using photodiode switches has been investigated. The antenna had dimension 104 mm x 41 mm x 1.6 mm and FR4 substrate with relative permittivity4.8. It structure was Coplanar Stripline (CPS) dipole. Two photodiodeshad assembled on gap in both dipole arms, which was activated by 600 nm red laser. The unilluminated state, antennahad resonant frequency 800 MHz with RL -32 dB, 2225 MHz with RL -12.5 dB, 3320 with RL -14.1 dB. Meanwhile for the illuminated state, antennahad resonant frequency and return loss shifting to 800 MHz with RL -32 dB, 2225 MHz with RL -12.5 dB, 3320 MHz with RL -14.1 dB.This condition caused low impedance and longer dipole arm. If dimension size increases, resonant frequency will decrease. So, there was shifting frequency and return loss at under illuminated by laser.
Volume: 14
Issue: 4
Page: 1351-1355
Publish at: 2016-12-01

Novel DV-hop Method Based on Krill Swarm Algorithm Used for Wireless Sensor Network Localization

10.12928/telkomnika.v14i4.3985
Yang Sun , Shoulin Yin , Jie Liu
Wireless sensor network (WSN) is self-organizing network; it consists of a large number of sensor nodes with perception, calculation ability and communication ability. As we all know, the floor, walls or people moving has an effect on indoor localization, so it will result in multi-path phenomena and decrease signal strength, also the received signal strength indicator (RSSI) is unable to gain higher accuracy of positioning. When using multilateral measurement method to calculate the unknown node coordinates, it will generate big error in range-free distance vector-hop (DV-hop) localization algorithm of WSN. In order to improve the WSN positioning accuracy in indoor condition, more reasonable distribute network resources, in this paper, we firstly propose krill swarm algorithm used for WSN localization. First, we detailed analyze the multilateral measurement method in DV-hop localization algorithm. The position problem can be transformed into a global optimization problem. Then, we adequately utilize the advantage of calculating optimization problem. We apply the krill swarm algorithm into the stage of estimating unknown node coordinates in DV-hop algorithm to realize localization. Finally, the simulation experience results show that the localization with krill swarm algorithm has an obviously higher positioning precision and accuracy stability with different anchor node proportion and nodes. We also make comparison with DV-hop algorithm and the newest localization algorithm.
Volume: 14
Issue: 4
Page: 1438-1445
Publish at: 2016-12-01

Assessing State of the Art on Artificial Neural Network Paradigms for Level of Eutrophication Estimation of Water Bodies

10.11591/ijai.v5.i4.pp135-142
Tushar Anthwal , M K Pandey
With growing power of computer and blend of intelligent soft wares, the interpretation and analytical capabilities of the system had shown an excellent growth, providing intelligence solutions to almost every computing problem. In this direction here we are trying to identify how different geocomputation techniques had been implemented for estimation of parameters on water bodies so as to identify the level of contamination leading to the different level of eutrophication. The main mission of this paper is to identify state-of-art in artificial neural network paradigms that are prevailing and effective in modeling and combining spatial data for anticipation. Among this, our interest is to identify different analysis techniques and their parameters that are mainly used for quality inspection of lakes and estimation of nutrient pollutant content in it, and different neural network models that offered the forecasting of level of eutrophication in the water bodies. Different techniques are analyzed over the main steps;-assimilation of spatial data, statistical interpretation technique, observed parameters used for eutrophication estimation and accuracy of resultant data.
Volume: 5
Issue: 4
Page: 135-142
Publish at: 2016-12-01

Exudate and Blood Vessel Feature Extraction in Diabetic Retinopathy Patients using Morphology Operation

10.12928/telkomnika.v14i4.3714
Siswo; Universitas Sultan Ageng Tirtayasa Wardoyo , Anggoro Suryo; Universitas Sultan Ageng Tirtayasa Pramudyo , Erika Diana; Universitas Sultan Ageng Tirtayasa Rizanti , Imamul; Universitas Sultan Ageng Tirtayasa Muttakin
Diabetic Retinopathy is one of the retina complications caused by diabetic disease with observable symptoms such as emergence of exudate and new blood vessels. The tool used to screen it is a fundus camera. However, analyzing the fundus image should be done by doctor who is an expert and will require a lot of time. Therefore, automatic feature detection can assist doctor in processing the retinal image in analyzing diabetic retinopathy disease. The proposed method has been tested on the morphological operations of the fundus image from Cicendo Eye Hospital, Bandung. The calculation results on feature extraction exudate area has a range of 0 pixels for normal retinal image, 17-21213 pixel for retinal image NPDR, and 125-12299 retinal image pixel for PDR. The calculation results on the extraction area of blood vessels has a range of 13319-46681 pixel to the normal retina, the retinal image 7435-49938 pixel for NPDR, and 13.81-53.802 retinal image pixel for PDR.
Volume: 14
Issue: 4
Page: 1493-1501
Publish at: 2016-12-01

Multi-Stage Partial Parallel Interference Cancellation Algorithm for MUSA Systems

10.12928/telkomnika.v14i4.4052
Yan; ChongQing University of Posts and Telecommunications Liang , Han; ChongQing University of Posts and Telecommunications Wu , Guangyu; ChongQing University of Posts and Telecommunications Wang
Multi-User Shared Access is a non-orthogonal multiple access scheme of 5G,which has a high computational complexity and a large time delay due to the usage of successive interference cancellation detection algorithm. This paper proposes a multi-stage partial parallel interference cancellation detection algorithm, which does not require repeated ordering and repeated matrix inversion. In the first stage of detection, the bits of these users with good channel conditions will be outputted, and the influence of multiple access interference on users with bad channel conditions in the second stage will be decreased. Theoretical analysis and simulation results show that the symbol error rate of the proposed algorithm is slightly better than that of the two-stage MMSE-PIC, and the complexity is reduced. In the meanwhile, the computational complexity is significantly reduced without SER performance degradation when compared with MMSE-SIC algorithm.
Volume: 14
Issue: 4
Page: 1390-1396
Publish at: 2016-12-01

Water Quality Monitoring with Fuzzy Logic Control based on Graphical Programming

10.12928/telkomnika.v14i4.3505
Mochammad Hannats Hanafi; Universitas Brawijaya Ichsan , Wijaya; Universitas Brawijaya Kurniawan , Miftahul; Universitas Brawijaya Huda
Water quality is the most important aspect to ensure success in various aspects of life, for example in the shrimp ponds. On a shrimp pond, water conditions are very vital because it has a very strict threshold. Unstable water conditions will affect growth and condition of shrimps, eat passion of shrimps, until their ability to survive greatly affect the survival of the shrimps. The percentage of farmers harvesting shrimps if the water did not have good conditions then the farmers will suffer significant losses if yields were not as expected, began from the amount of shrimp that was reduced due to death or the quality of the shrimp were judged from the size of the shrimp. So the authors wanted to do research on how to maintain the quality of the water in shrimp pond so that the water quality is maintained. To overcome this, we need to monitor water conditions based on the level of salinity and turbidity of water in order to stay in good condition. In this case, the researchers used fuzzy logic to monitor the amount of water quality and water volume. In this study only conducted water quality monitoring process but to do water changes to a certain condition still conducted manually. As well as the programming language used as the NI LabVIEW graphical programming with the application form to see monitoring of water quality so that water conditions are well preserved.
Volume: 14
Issue: 4
Page: 1446-1453
Publish at: 2016-12-01

Factors Influencing User’s Adoption of Conversational Recommender System Based on Product Functional Requirements

10.12928/telkomnika.v14i4.4234
Z.K. Abdurahman; Institut Teknologi Bandung Baizal , Dwi H; Institut Teknologi Bandung Widyantoro , Nur Ulfa; Institut Teknologi Bandung Maulidevi
Conversational recommender system (CRS) helps customers get products fitted their needs by repeated interaction mechanisms. When customers want to buy products having many and high tech features (e.g., cars, smartphones, notebook, etc.), most users are not familiar with product technical features. The more natural way to elicit customers’ needs is by asking what they really want to use with the product they want (we call as product functional requirements). In this paper, we analyze four factors, e.g., perceived usefulness, perceived ease of use, trust and perceived enjoyment  associated to user’s intention to adopt the interaction model (in CRS) based on product functional requirements. Result of experiment using technology acceptance model (TAM) indicates that, for users who aren’t familiar with technical features, perceives usefulness is a main factor influencing users’ adoption. Meanwhile, perceived enjoyment plays a role on user’s intention to adopt this interaction model, for users who are familiar with technical features of product.
Volume: 14
Issue: 4
Page: 1575-1585
Publish at: 2016-12-01

Paper-based Verification Design of Trade Business License in Indonesia

10.12928/telkomnika.v14i4.2915
Pizaini; Universitas Islam Negeri Sultan Syarif Kasim Riau Pizaini , Sugi; Institut Pertanian Bogor Guritman , Heru; Institut Pertanian Bogor Sukoco
The trade business license certificate (SIUP) is a paper-based license to conduct trade businesses in Indonesia issued by the government. Until today, there is no mechanism for verifying the validity of document unless to verify it manually. The current paper presents a design that allows paper-based verification of the printed trade business license. It aims to provide the verification mechanism and ensure the document validity. Our design implemented digital signature with QR Code image that placed into the document and the digital certificate issued by a certification authority (CA). The proposed scheme generated 442Bytes of data and version 14 of QR Code to scan easily by a reader device. The experimental result indicates that our scheme is easy and feasible to implement in Indonesia with guaranteed the document integrity, authentication, and nonrepudiation.
Volume: 14
Issue: 4
Page: 1527-1533
Publish at: 2016-12-01

Supervised Entity Tagger for Indonesian Labor Strike Tweets using Oversampling Technique and Low Resource Features

10.12928/telkomnika.v14i4.3876
Ayu; Bandung Institute of Technology Purwarianti , Lisa; Vienna University of Technology Madlberger , Mochammad; University of Indonesia Ibrahim
We propose an entity tagger for Indonesian tweets sent during labor strike events using supervised learning methods. The aim of the tagger is to extract the date, location and the person/organization involved in the strike. We use SMOTE (Synthetic Minority Oversampling Technique) as an oversampling technique and conducted several experiments using Twitter data to evaluate different settings with varying machine learning algorithms and training data sizes. In order to test the low resource features, we also conducted experiments for the system without employing the word list feature and the word normalization. Our results indicated that different treatment of different types of machine learning algorithms with low resource features can lead to a good accuracy score. Here, we tried Naïve Bayes, C4.5, Random Forest and SMO (Sequential Minimal Optimization) algorithms using Weka as the machine learning tools. For the Naïve Bayes, due to the data distribution based of the class probability, the best accuracy was achieved by removing data duplication. For C4.5 and Random Forest, SMOTE gave higher accuracy result compared to the original data and the data with data duplication removal. For SMO, there is no significant difference among various sizes of training data.
Volume: 14
Issue: 4
Page: 1462-1471
Publish at: 2016-12-01

Planning and Coordination in Hierarchies of Intelligent Dynamic Systems

10.12928/telkomnika.v14i4.4997
Alexander Yakovlevich; Kola Science Centre of the Russian Academy of Sciences Fridman
On the basis of the known principle of interactions prediction (Mesarovic), our earlier proposed incremental coordination principle is extended over hierarchical collectives of intelligent dynamic systems (IDSs) after Gennady Osipov. Such systems admit arbitrary types of variables in their state vector and thereby allow investigating more general dynamic systems than “classical” ones defined in numerical state spaces. Using the concept of effective N-attainability (Osipov), a straightforward procedure of planning for hierarchical collectives of IDS is developed. As soon as a plan for reaching a goal state from the current one is found, effective implementation of this plan requires for coordination of IDSs taking their parts in the collective. We consider both aspects of coordination (coordinability with respect to the coordinator’s task and coordinability in relation to the global task) and infer necessary conditions of the coordinability for a locally organized hierarchy of IDSs.
Volume: 14
Issue: 4
Page: 1408-1416
Publish at: 2016-12-01

Energy Efficient Error Rate Optimization Transmission in Wireless Sensor Network

10.12928/telkomnika.v14i4.4013
Sharada K; JJT University, Rajasthan A , Siddaraju; Dr. Ambedkar Institute of Technology, Visvesvaraya Technological University (VTU) Siddaraju
Wireless Sensor Network is a collection of independent nodes and create a network for monitoring purposes in various scenarios like military operation, environmental operation etc. WSN network size is increasing very rapidly these days, due to large network size energy consumption is also increased and it has small battery, lifetime of network   decreases due to early death of nodes and it impact the overall system performance. Clustering is a technique for enhance the network lifetime in WSN. Here in this paper we propose a new multi-objective adaptive swarm optimization (MASO) technique for clustering and computes the maximum number of clusters, which is best suited for the network. Each cluster has cluster head and cluster members and performed the task of local information extraction. Cluster head gathers all the extracted information from member nodes and send it to the base station, where base station performed global information extraction from all the cluster head nodes and generate some useful result. In MASO technique, object is used to find the best global position for the node and compare with existing position value. If new value is better than the old value, than node moves to a new position and object update their table for this new position. We are considering error probability in transmission of data packet in one hop communication. Here obtained the results are compared with other research in terms of overall network lifetime and effect on network lifetime when the size of the network is changed. We have fine tuned the node’s decay rate and throughput of the network.
Volume: 14
Issue: 4
Page: 1368-1375
Publish at: 2016-12-01

Urban Traffic Simulators

10.11591/ijict.v5i3.pp124-128
Harshita Chitla H
Computer traffic simulation is a widely used technique in modeling, coming up with and development of traffic networks and systems. It contains a various applications, like traffic forecasting, vehicle navigation devices and so on. This paper discusses about the various types of traffic simulators. Another drawback is that the factors like accidents, public events, and road closures. In addition, we are introducing algorithmic concepts, quantifiable metrics and data structural approaches that might be applied to the simulation systems.
Volume: 5
Issue: 3
Page: 124-128
Publish at: 2016-12-01

Implementation and Analysis of Reversible logic Based Arithmetic Logic Unit

10.12928/telkomnika.v14i4.3230
Shaveta; Manav Rachna International University Thakral , Dipali; Manav Rachna International University Bansal , S.K.; EX-Manav Rachna International University Chakarvarti
There is a tremendous growth in fabrication from small scale integration (SSI) to giant scale integration (GSI). It however raises a question of sustainability of Moore's law due to almost intolerable levels of power consumption. Researchers have invented a lot of methods to reduce power consumption and recent technologies are switching to reversible logic. Reversible logic has various applications in fields of computer graphics, optical information processing, quantum computing, DNA computing, ultra low power CMOS design and communication. Arithmetic Logic Unit (ALU) is considered to be the basic building block of a CPU in the computing environment and portability in computing system highly demands reversible logic based ALU. Modern processors usually have a word length of 32 or 64 bits. Divide and conquer approach principle cascades n number of 1 bit ALU to implement n bit ALU. Several researchers have proposed 1-bit ALU design using various reversible logic gates. This paper aims at categorizing various ways of implementation in VHDL using Xilinx ISE design suit 14.2 tool and comparative analysis of existing 1 bit ALU designs in terms of optimization metrics like power consumption, number of gates, number of constant inputs, number of garbage outputs and quantum cost. ALU realized using carry save adder block is found to be most optimum design in terms of gate count and quantum cost.
Volume: 14
Issue: 4
Page: 1292-1298
Publish at: 2016-12-01
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