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28,188 Article Results

Measurement and Evaluation of Tx/ Rx Antennas for X-Band Radar System

10.12928/telkomnika.v14i2.3291
Folin; Research Center for Electronic and Telecommunication, Indonesian Institute of Sciences Oktafiani , Yuyu; Research Center for Electronic and Telecommunication, Indonesian Institute of Sciences Wahyu , Yusuf Nur; Research Center for Electronic and Telecommunication, Indonesian Institute of Sciences Wijayanto
This paper presents the performance evaluation of antennas for microwave transmission and reception in X-band radar systems. The transmitter (Tx) and receiver (Rx) antennas are fabricated on microstrip array structures. The antennas are connected to microwave circuits with transmission lines, coaxial cables, and microwave combiners and splitters. The designed antennas in X-band microwave operation for Tx and Rx parts were fabricated identically by 4x64 microstrip patch antennasin an array structure. The fabricated antennas were measured for return loss (S11), VSWR, radiation pattern, and Gain. The detail methods for the measurements are reported and their results are also discussed. The measured antenna gain of ~20dBi, and beam-width of ~20degreecan be obtained using the fabricated antennas at 9.4GHz microwave operation.
Volume: 14
Issue: 2
Page: 555-562
Publish at: 2016-06-01

Property Analysis of Composable Web services

10.12928/telkomnika.v14i2.2732
Wei; Shandong University of Science and Technology, Liu , Lu; Shandong University of Science and Technology, Wang , Yuyue; Shandong University of Science and Technology, Du , Pin; Shandong University of Science & Technology Wang , Chun; Tongji　University Yan
Web services are basic components constructing a flexible business process software. By composing multiple Web services, a complicated business process across organization and departments can be formed. This paper present a formal model of composable Web services: composed service process nets (CSPNs). Properties of Composable Web services are analyzed based on CSPNs. The relation between a CSPN and its corresponding Web service process subnets are discussed. The property analysis methods of CSPNs are come up with. A dynamic property of CSPNs can be determined based on static net structures by means of the proposed methods.
Volume: 14
Issue: 2
Page: 734-740
Publish at: 2016-06-01

A Novel Multifunction Digital Chip Design Based on CMOS Technology

10.12928/telkomnika.v14i2.3675
Zi-Ang; Zhoukou Normal University Zhou , Wen-Bo; Zhoukou Normal University Geng
The realization of an analog-to-digital-conversion chip has great significance in the applications of electronic products. By considering mature time–number digitization, a new multifunction digital chip with a long time delay was designed in this study on the basis of the principle of analog-to-time conversion (ATC) and the realization of long time delay. With additional resistance, capacitance, and transistors, this chip can easily realize ATC, monostable triggers, Schmitt triggers, and multivibrators. The circuit composition of this chip was analyzed, and every module design was introduced. According to the simulation result of Hspice and CSMC 2P2M CMOS (Complementary Metal Oxide Semiconductor) process database, the chip layout (1mm2) design was accomplished by using CSMC 2P2M CMOS technology. Finally, the designed chip was applied in multiproject wafer flow. The flow test demonstrated that this new chip can meet design goal and is applicable to various digital integrated chip designs as an IP (intellectual property) core.
Volume: 14
Issue: 2
Page: 464-470
Publish at: 2016-06-01

Model Predictive Optimization Control Strategy for Three-level AFE Converter

10.12928/telkomnika.v14i2.2755
Xiaoyan; Anhui University of Science and Technology Shi , Longji; Anhui University of Science and Technology Zhu , Shuijuan; Anhui University of Science and Technology Yu
In view of the fact of traditional MPC prediction for three-level AFE converter with numerous switching vectors, time-cost computation and complex control, a simplified model predictive control algorithm is proposed in this paper. The multiple current prediction is transformed into a single virtual reference voltage vector prediction according to the inverse procedure of the model current prediction, and vector distribution method is adopted which can screens out the optimal vector. In the process of rolling optimization, multi-objective control is carried out by adding neutral point potential balance and reducing switching losses and other constraints to the cost function. Also the control delay of the algorithm is compensated. Finally, simulation experiments of three-level AFE converter under steady-state and dynamic conditions are provided. The results have verified correctness and practicability of the strategy.
Volume: 14
Issue: 2
Page: 440-448
Publish at: 2016-06-01

Implementing OLSR and Wireless VoIP as Low-Cost Infrastructure Telephony for Rural Area

10.12928/telkomnika.v14i2.3364
Istas; Sepuluh Nopember Institute of Technology Pratomo , Asriadi; Sepuluh Nopember Institute of Technology N , Achmad; Sepuluh Nopember Institute of Technology Affandi
Communication is one of essential elements in this life, including the people who live at rural areas. However, telecommunications in rural area especially in Indonesia have many constraints like expensive infrastructure, difficult terrain and electrical problem. This led to a lot of areas that uncovered by telecommunication access. In this paper, we proposed a design and architecture of mobile wireless communication based on modified openWRT as a solution for low-cost communication and telephony infrastructure in rural areas. The design combines VoIP over mesh ad-hoc network as a potential solution for cheap calls and use modified embedded device to save electrical resources as a node to connect each other with multi hop transmissions. With this approach, we get many advantages such as high mobility, easy to use, scalable, low-cost implementation, and low power consumption. This paper presents the measurement result of performance to provide access telecommunication in several conditions. In addition, this paper also shows benchmarking results and lifetime of the node that we use in this prototype. The results show that our node can provide telecommunications access in terms of making calls with good quality using wireless LAN. To sum this up, The OpenVoice node is expected to contribute bridging digital divide in rural areas.
Volume: 14
Issue: 2
Page: 563-573
Publish at: 2016-06-01

Analysis of Stemming Influence on Indonesian Tweet Classification

10.12928/telkomnika.v14i2.3113
Ahmad Fathan; Universitas Islam Indonesia Hidayatullah , Chanifah Indah; Universitas Islam Indonesia Ratnasari , Satrio; Universitas Islam Indonesia Wisnugroho
Stemming has been commonly used by some researchers in natural language processing area such as text mining, text classification, and information retrieval. In information retrieval, stemming may help to raise retrieval performance. However, there is an indication that stemming does not hand over significant influence toward the accuracy in text classification. Therefore, this paper analyzes further research about the influence of stemming on tweet classification in Bahasa Indonesia. This work examines about the accuracy result between two conditions by involving stemming and without involving stemming in pre-processing task for tweet classification. The contribution of this research is to find out a better pre-processing task in order to obtain good accuracy in text classification. According to the experiments, it is observed that all accuracy results in tweet classification tend to decrease. Stemming task does not raise the accuracy either using SVM or Naive Bayes algorithm. Therefore, this work summarized that stemming process does not affect significantly towards the accuracy performance.
Volume: 14
Issue: 2
Page: 665-673
Publish at: 2016-06-01

Quantitative Analysis of Plant Growth Exposed to Electric Fields

10.12928/telkomnika.v14i2.2596
Hussein; Universiti Tun Hussein Onn Malaysia Ahmad , Mohd Hafizi; Institute of High Voltage and High Current Ahmad , Noor 'Aliaa; Universiti Teknologi Malaysia Awang , Izzah Hazirah; Universiti Teknologi Malaysia Zakaria
 Electromagnetic radiations present in the environment has a profound effect on the growth of vegetable plant primarily grown under the high power transmission lines. The high electric field generated due to ultra high voltage causes the increase and reduction in the size of the plants. Numerous research have been carried out to investigate the effect of electric field on the plants. However, the knowledge in term of quantitative analysis on the effect of electric field on the growth of vegetables is not entirely understood. Thus, this paper presents a study conducted to investigate the effect of high voltage DC electric fields on the young vegetables growth namely ‘Choy Sam’ and bean sprout. The experimental setup was designed which composed of two parallel plate electrodes. This research was focused on the percentage of germination and growing rate of young vegetables. The growth of the young vegetables during exposure was calculated by using statistical methods. The analysis of the results showed that the electric fields and the electric fields treated water have influenced the germination rate and height of stems of both young vegetables causing the increase in stem height.
Volume: 14
Issue: 2
Page: 390-403
Publish at: 2016-06-01

Quadrotor Path Planning Based on Modified Fuzzy Cell Decomposition Algorithm

10.12928/telkomnika.v14i2.2989
Iswanto; Universitas Muhammadiyah Yogyakarta Iswanto , Oyas; Universitas Gadjah Mada Wahyunggoro , Adha; Universitas Gadjah Mada Imam Cahyadi
The purpose of this paper is to present an algorithm to determine the shortest path for quadrotor to be able to navigate in an unknown area. The problem in robot navigation is that a robot has incapability of finding the shortest path while moving to the goal position and avoiding obstacles. Hence, a modification of several algorithms are proposed to enable the robot to reach the goal position through the shortest path. The algorithms used are fuzzy logic and cell decomposition algorithms, in which the fuzzy algorithm which is an artificial intelligence algorithm is used for robot path planning and cell decomposition algorithm is used to create a map for the robot path, but the merger of these two algorithms is still incapable of finding the shortest distance. Therefore, this paper describes a modification of the both algorithms by adding potential field algorithm that is used to provide weight values on the map in order for the quadrotor to move to its goal position and find the shortest path. The modification of the algorithms have shown that quadrotor is able to avoid various obstacles and find the shortest path so that the time required to get to the goal position is more rapid.
Volume: 14
Issue: 2
Page: 655-664
Publish at: 2016-06-01

Image Fusion in Hyperspectral Image Classification using Genetic Algorithm

10.11591/ijeecs.v2.i3.pp703-711
B. Saichandana , K. Srinivas , R. KiranKumar
Hyperspectral remote sensors collect image data for a large number of narrow, adjacent spectral bands. Every pixel in hyperspectral image involves a continuous spectrum that is used to classify the objects with great detail and precision. This paper presents hyperspectral image classification mechanism using genetic algorithm with empirical mode decomposition and image fusion used in preprocessing stage. 2-D Empirical mode decomposition method is used to remove any noisy components in each band of the hyperspectral data. After filtering, image fusion is performed on the hyperspectral bands to selectively merge the maximum possible features from the source images to form a single image. This fused image is classified using genetic algorithm. Different indices, such as K-means (KMI), Davies-Bouldin Index (DBI), and Xie-Beni Index (XBI) are used as objective functions. This method increases classification accuracy of hyperspectral image.
Volume: 2
Issue: 3
Page: 703-711
Publish at: 2016-06-01

Analysis of Reinforcement Based Adaptive Routing in MANET

10.11591/ijeecs.v2.i3.pp648-694
Rahul Desai , B P Patil
This paper describes and evaluates the performance of various reinforcement learning algorithms with shortest path algorithms that are widely used for routing packets through the network. Shortest path routing is the simplest policy used for routing the packets along the path having minimum number of hops. In high traffic or high mobility conditions, the shortest path get flooded with huge number of packets and congestions occurs, So such shortest path does not provides the shortest path and increases delay for reaching the packets to the destination. Reinforcement learning algorithms are adaptive algorithms where the path is selected based on the traffic present on the network at real time. Thus they guarantee the least delivery time to reach the packets to the destination. Analysis done on a 6 by 6 irregular grid and sample ad hoc network shows that performance parameters used for judging the network - packet delivery ratio and delay provides optimum results using reinforcement learning algorithms. 
Volume: 2
Issue: 3
Page: 648-694
Publish at: 2016-06-01

Fault Diagnosis of Power Network Based on GIS Platform and Bayesian Networks

10.12928/telkomnika.v14i2.2750
Yunfang; Agricultural University of Hebei Xie , Yuhong; Agricultural University of Hebei Zhou , Weina; Agricultural University of Hebei Liu
In order to determine the location of the fault components of the power network quickly and give troubleshooting solutions, this paper obtains a simplify structure of relay protection and circuit-breaker as key equipment by analyzing the power network topology of GIS platform and uses the Bayesian networks fault diagnosis algorithm and finally designs the power network fault diagnosis module based on GIS platform. Fault diagnosis algorithm based on Bayesian networks is a new method for power network fault diagnosis which deals with the power network fault diagnosis with incomplete alarm signals caused by the protection device’s and the circuit breaker’s malfunction or refusal to move, device failure of communication and other reasons in the use of Bayesian networks method.  This method establishes the transmission line fault diagnosis model by using Noisy-Or, Noisy-And node model and similar BP neural network back propagation algorithm, and obtains the fault trust degree of each component by using the formula, and finally determines the fault according to the fault trust degree. The practical engineering application shows that the search speed and accuracy of fault diagnosis are improved by applying the fault diagnosis module based on GIS platform and Bayesian network.
Volume: 14
Issue: 2
Page: 741-747
Publish at: 2016-06-01

Segway Line Tracer Using Proportional-Integral-Derivative Controllers

10.12928/telkomnika.v14i2.3156
Wijaya; Universitas Brawijaya Kurniawan , Mochammad Hannats Hanafi; Universitas Brawijaya Ichsan , Eko; Universitas Brawijaya Setiawan
Intelligent control, sensors and hardware integration are expected to generate an efficient transportation system and and minimum effort, to carry goods from one location to another location. Line tracer used by robot to transport follow the path, it has a system that uses a light sensor to read the color from a line that represent the path to make specific direction. Segway is two wheeled transportation item that have an efficient energy used. Nowadays line tracer can only work if it has three or more wheels and segway can only work with riders. This research segway designed by lego robot, PID (Proportional, Integral, Derivative) control used to control an input from gyroscope sensor in form of elevation angle of the earth. The control system are expected to control two wheeled Segway to reach steady state rapidly. So the Segway would run without involving human or without rider.
Volume: 14
Issue: 2
Page: 489-496
Publish at: 2016-06-01

The impact of LTE-FDD at the LTE-TDD for the co-existence under 2.6 GHz band for Malaysia

10.11591/ijeecs.v2.i3.pp657-667
L.M. Ahmed , M.F.L. Abdullah
For the co-existence scenario between LTE-FDD and LTE-TDD systems, if the two systems are using an adjacent frequency carrier, there will be a need for spatial separation between the eNodeBs of the two systems, otherwise the two systems will interfere each other. The study is implemented based on realistic parameters in order to help the network designer to make a decision about the best frequency allocation and network deployments in order to achieve higher performance under the lowest possible cost. Throughout this paper, the effect of the FDD system at the TDD is evaluated under wide range of ACIR and separation distances between the two systems eNodeBs as well. The results showed that, the recommended ACIR offset by the 3GPP is not enough for the LTE-TDD uplink throughput loss ratio to be acceptable, whereas 115 dB, 45 dB, and 35 dB of the ACIR is required for the throughput loss ratio in order to drop less than 5% for the co-located, Mid-point, and Edge-point eNodeBs deployment scenario respectively. Meanwhile, comparing to the uplink case, the downlink of the TDD system is much coherent; the recommended ACIR offset is only unacceptable for the co-located deployment case, whereas 50 dB of the ACIR is required for the system to drop less than 5%.
Volume: 2
Issue: 3
Page: 657-667
Publish at: 2016-06-01

Research on Community Detection Algorithm Based on the UIR-Q

10.12928/telkomnika.v14i2.2685
Zilong; Wuhan University of Technology Jiang , Wei; Hubei Polytechnic University Dai , Liangchen; Wuhan University of Technology Chen , Xiufeng; Wuhan University of Technology Cao , Yanling; Wuhan University of Technology Shao
Aiming at the current problems of community detection algorithm in which user’s property is not used; the community structure is not stable and the efficiency of the algorithm is low, this paper proposes a community detection algorithm based on the user influence and its parallelization method. In terms of the concept of user influence in the subject communication and the PageRank algorithm, this paper uses the properties of nodes of users in social networks to form the user influence factors. Then, the user with the biggest influence is set as the initial node of new community and and the local modularity is introduced into detecting the community structure.  in order to make the result of community detection quick and efficient. Many experiments show that the improved algorithm can efficiently detect the community structure with large scale users and the results are stable. Therefore, this algorithm will have a wide applied prospect.
Volume: 14
Issue: 2
Page: 725-733
Publish at: 2016-06-01

Comparative Analysis of Spatial Decision Tree Algorithms for Burned Area of Peatland in Rokan Hilir Riau

10.12928/telkomnika.v14i2.3540
Putri; Bogor Agricultural University Thariqa , Imas Sukaesih; Bogor Agricultural University Sitanggang , Lailan; Bogor Agricultural University Syaufina
 Over one-year period (March 2013 – March 2014), 58 percent of all detected hotspots in Indonesia are found in Riau Province. According to the data, Rokan Hilir shared the greatest number of hotspots, about 75% hotspots alert occur in peatland areas. This study applied spatial decision tree algorithms to classify classes before burned, burned, and after burned from remote sensed data of peatland area in Kubu and Pasir Limau Kapas subdistrict, Rokan Hilir, Riau. The decision tree algorithm based on spatial autocorrelation is applied by involving Neigborhood Split Autocorrelation Ratio (NSAR) to the information gain of CART algorithm. This spatial decision tree classification method is compared to the conventional decision tree algorithms, namely, Classification and Regression Trees (CART),  C5.0, and C4.5 algorithm. The experimental results showed that the C5.0 algorithm generate the most accurate classifier with the accuracy of  99.79%. The implementation of spatial decision tree algorithm succesfuly improve the accuracy of CART algorithm.
Volume: 14
Issue: 2
Page: 684-691
Publish at: 2016-06-01
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