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24,092 Article Results

Constructing Cerebellum Model by Researching on its Contributions to DIVA

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3482
Yuanyuan Wu , Shaobai Zhang
DIVA (Directions into Velocities of Articulators) is a mathematical model of the processes behind speech acquisition and production, supposed to achieve a functional representation of areas in the brain that are involved in speech production and speech perception. Introducing cerebellum control mechanism into the model plays a significant role in improving the mechanism of speech acquisition and production based on DIVA model. The paper studies its learning process, and explores cerebellar contributions to the model, that is feedforward learning, sensory predictions, feedback command production and the timing of delays, and then constructs a cerebellum model that is closer to neuroanatomy and is applied to DIVA model. Simulation results show that the improved DIVA model can produce more clear and explicit speech sounds, and is more close to human-like pronunciation system. The cerebellum model that established in this paper can be applied to speech acquisition and production based on DIVA model. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5388 
Volume: 12
Issue: 6
Page: 4115-4124
Publish at: 2014-06-01

A Method for Designing Complex Machine Olfaction System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3556
Hua Fang , Minglei Shu , Yunxiang Liu , Wanjun Yu , Wenju Li
In the paper a template technology has been applied to the complex platform of machine olfaction system. The simulation sensor array template receives field odor data or simulates the data via recorders in database, then transmits to the platform which consists of several distributed monitoring subsystems. Each subsystem matches a set of gas sensors array, and has functions of logging data, communicating and simulating industry application. The data from the subsystem and the preprocessed data are sent to the web server center and stored in the databases. Then sensors perform analysis by several layer algorithms. And the exchanging algorithms convert the field odor data to gas concentrations with ppm values, the expert systems or recognition algorithms analyze the ppm values and show the application results. All data of each layer are stored in server database systems, and each layer algorithms can be updated and saved. Finally, the supporting platform that applied to industrial monitoring systems, was developed with a kind of industrial configuration softwares, web MIS and databases, and was utilized to realize monitor to the environmental systems by the simulation template. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5451
Volume: 12
Issue: 6
Page: 4679-4684
Publish at: 2014-06-01

A Power Effective Algorithm for State Encoding

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3526
Anping He , Hao Wu , X. Song , Jinzhao Wu
Reducing the area and power dissipation of FSM circuit is of significant importance for EDA technology. Many methods are adopted to achieve an effective and fast transformation of FSMs to binary codes, including Genetic algorithm (GA) and others. In this paper, we propose a GA based state assignment of a FSM circuit to gain the minimization of power consumption and area. We modify the traditional mutation to be an ordered operation, which is also a substitution of the crossover that guarantees every new individual owns better fitness than the old one. We test the proposed algorithm with benchmarks, as well as do the comparison with the published; our method saves both power and area dissipation in reasonable computation time. DOI: http://dx.doi.org/10.11591/telkomnika.v12i6.5482
Volume: 12
Issue: 6
Page: 4457-4462
Publish at: 2014-06-01

A New Copyright Protection for Vector Map using FFT-based Watermarking

10.12928/telkomnika.v12i2.49
Shelvie Nidya; Institut Teknologi Bandung Neyman , I Nyoman Prama; Institut Teknologi Bandung Pradnyana , Benhard; Institut Teknologi Bandung Sitohang
This study proposed a new approach of copyright protection for vector map using robust watermarking on FFT algorithm. A copyright marker inserted in vector map as the watermark. In addition to data origin authentication capabilities watermark, RSA cryptographic algorithm is used when generating the watermark. Quality measurement of the results was based on the three characteristics of digital watermarking: (1) invisibility using RMSE calculations, (2) fidelity with the farthest distance and (3) NC calculation and gemotrical level of robustness against attacks. Result of experiments showed that the approach used in this study succeeded in inserting copyright as watermark on vector maps. Invisibility test showed good results, demonstrated by RMSE close to zero. Fidelity of the watermarked map was also maintained. Level of watermark robustness against geometric attacks on vector map results has been maintained within the limits that these attacks do not affect the watermark bit value directly.
Volume: 12
Issue: 2
Page: 367-378
Publish at: 2014-06-01

Overview on Strategies and Approaches for FPGA Programming

10.12928/telkomnika.v12i2.58
Tole; Universitas Ahmad Dahlan Sutikno , Nik Rumzi; Universiti Teknologi Malaysia Nik Idris , Aiman; Universiti Teknikal Malaysia Melaka Zakwan Jidin
This paper presents an overview of strategies and approaches for FPGA programming. At first, design entry methods are briefly introduced. Then, the concepts of FPGA programming in some perspective viewpoints, such as: execution perspective, modelling perspective, programming style perspective, construction methodology perspective and synthesis perspective will be explained. Finally, the principle of VHDL programming use synchronization-evolution-action approach is introduced.
Volume: 12
Issue: 2
Page: 273-282
Publish at: 2014-06-01

Feature Extraction and Classification of Electric Power Equipment Images based on Corner Invariant Moments

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3492
Zhai Xueming , Zhang Dongya , Dewen Wang
Feature extraction and accurate classification of electric power equipment, help to improve the automation and intelligent level of power system management. Aiming at the problems that applying Hu invariant moments to extract image feature computes large and applying corner vector to match has too dimensions, this paper presented Harris corner invariant moments algorithm. This algorithm only calculates corner coordinates other than the entire image coordinates, so can change the point feature into feature vectors, and reduce the corner matching dimensions. Combined with the SVM (Support Vector Machine) classification method, we conducted a classification for a large number of electrical equipment images, and the result shows that using Harris corner invariant moments algorithm to extract invariant moments, and classifying by these invariant moments can achieve better classification accuracy. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.1422
Volume: 12
Issue: 6
Page: 4200-4205
Publish at: 2014-06-01

A Decision Tree Based on Spatial Relationships for Predicting Hotspots in Peatlands

10.12928/telkomnika.v12i2.68
Imas Sukaesih; Department of Computer Science, Faculty of Natural Science and Mathematics, Bogor Agricultural University, Indonesia Sitanggang , Razali; Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia Yaakob , Norwati; Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia Mustapha , Ainuddin; Institute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia, Malaysia A. N.
Predicting hotspot occurrence as an indicator of forest and land fires is essential in developing an early warning system for fire prevention.  This work applied a spatial decision tree algorithm on spatial data of forest fires. The algorithm is the improvement of the conventional decision tree algorithm in which the distance and topological relationships are included to grow up spatial decision trees. Spatial data consist of a target layer and ten explanatory layers representing physical, weather, socio-economic and peatland characteristics in the study area Rokan Hilir District, Indonesia. Target objects are hotspots of 2008 and non-hotspot points.  The result is a pruned spatial decision tree with 122 leaves and the accuracy of 71.66%.  The spatial tree has produces higher accuracy than the non-spatial trees that were created using the ID3 and C4.5 algorithm. The ID3 decision tree has accuracy of 49.02% while the accuracy of C4.5 decision tree reaches 65.24%.
Volume: 12
Issue: 2
Page: 511-518
Publish at: 2014-06-01

A Kind of New Real-time Scheduling Algorithm for Embedded Linux

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3524
Li Yang , Qingyan Zhu
To solve the insufficiency of real time performance in the present real time scheduling algorithm, a new real time task classification scheduling algorithm is proposed. According to the classification of arrival of real time tasks, this algorithm is divided into periodic tasks and non-periodic tasks, and uses different improved real time scheduling algorithm to schedule different type of real time tasks. Comparing with the present other real time scheduling algorithms, experiments show this algorithm has been largely improved for integrated real time performance. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5480
Volume: 12
Issue: 6
Page: 4444-4450
Publish at: 2014-06-01

Weed Control Decision Support System Based on Precision Agriculture Approach

10.12928/telkomnika.v12i2.62
Rizky Mulya; Bogor Agricultural University Sampurno , Kudang; Bogor Agricultural University Boro Seminar , Yuli; Bogor Agricultural University Suharnoto
Herbicides have been widely used for weed control in modern agriculture. However the use of herbicides is potentialy introducing negative impact to the environment due to excessive use of herbicides. Based on precision agriculture principles, unique and precise treatment of herbicide supply for a particular area for crop production must be performed. The objective of this research is to develop a decision support system (DSS) for schedulling of weed spraying and for selecting the proper nozzle size of the sprayers that introduce minimum negative impact to the environment. The main set of data required for our proposed system includes the set of 10 years weather data series acquired from remote sensing (NOAA and TRMM) and a set of vegetation index from MODIS EVI. The weather data set is utilized to determine the planting time period of paddy crop and to determine the proper size of the sprayers for weed spraying. Our DSS prototype has been implemented and tested with real data set in Jonggol district, West Java, Indonesia. The implementation, testing results, and future enhancement of our system are discussed in this paper.
Volume: 12
Issue: 2
Page: 475-484
Publish at: 2014-06-01

Emergency Resource Scheduling Problem Based on Improved Particle Swarm Optimation

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3547
Wu Kaijun , Shan Yazhou , Lu Huaiwei
Emergency resource scheduling is a kind of NP combination problem which possesses important practical value. In order to overcome the problems such as long computing time and easy to fall into local best for traditional heuristic optimization algorithm, an Improved Particle Swarm Optimization algorithm (IPSO) is proposed，the algorithm uses the randomicity and stable tendentiousness characteristics of cloud model, adopts different inertia weight generating methods in different groups, the searching ability of the algorithm in local and global situation is balanced effectively. In the paper, the algorithm is used to solve the emergency resource scheduling problem, the mathematic mode is established and the solution algorithm is developed. The simulation results of example show that the algorithm has faster search speed and stronger optimization ability than GA and PSO algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5437
Volume: 12
Issue: 6
Page: 4609-4616
Publish at: 2014-06-01

Photovoltaic Technology and Electricity Saving Strategies for Fixed-Velocity-Measuring System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3521
ZhangLi Lan , Jian Li
The power supply methods for fixed-velocity-measuring system (FVMS) based on photovoltaic (PV) technology are proposed after analysis and comparison among the current methods for FVMS on freeway. According to the sunshine condition in typical low sunshine areas, all components consist of PV system are specially designed, including the related maximum power point track (MPPT) technology for solar panel and the charge-discharge algorithm for storage battery in the dedicated controller. Targeted electricity saving strategies for FVMS on freeway are put forward. Experimental results show high efficiency and stability of the dedicated controller and in practical application, the specially designed PV system in this paper can provide continuous electric power supply throughout a year in an efficient way, and the output voltage and frequency are stable. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5477
Volume: 12
Issue: 6
Page: 4419-4416
Publish at: 2014-06-01

Web-SCADA for Monitoring and Controlling Hybrid Wind-PV Power System

10.12928/telkomnika.v12i2.53
Aryuanto; National Institute of Technology Soetedjo , Yusuf Ismail; National Institute of Technology Nakhoda , Abraham; National Institute of Technology Lomi , Farhan; National Institute of Technology Farhan
This paper presents the implementation of Web-SCADA on the hybrid wind-PV power system. Both the electrical paramaters such as current, voltage, power and the environment parameters such as wind speed, solar irradiation, and PV temperature are monitored remotely via Internet using a web browser. The SCADA system allows the user to control the hybrid power system remotely. The low cost sensor systems, RTUs and PLC are developed for implementing the SCADA system. The IntegraXor SCADA is employed as the Web-SCADA software. It provides the easy way for developing the Web-based SCADA application. The experimental results show that the Web-SCADA works properly in the monitoring and controlling the hybrid power system. The developed sensor systems provides the average error of 2.87%. The developed RTUs are able to acquire the sensor data and communicate with the SCADA server in real-time.
Volume: 12
Issue: 2
Page: 305-314
Publish at: 2014-06-01

Adaptive Control of Space Robot Manipulators with Task Space Base on Neural Network

10.12928/telkomnika.v12i2.72
Zhou; Hangzhou Vocational and Technical College Shuhua , Ye; Lishui University Xiaoping , Ji; Lishui University Xiaoming , Zhang; Lishui University Wenhui
As are considered, the body posture is controlled and position cannot control, space manipulator system model is difficult to be set up because of disturbance and model uncertainty. An adaptive control strategy based on neural network is put forward. Neural network on-line modeling technology is used to approximate the system uncertain model, and the strategy avoids solving the inverse Jacobi matrix, neural network approximation error and external bounded disturbance are eliminated by variable structure control controller. Inverse dynamic model of the control strategy does not need to be estimated, also do not need to take the training process, globally asymptotically stable of the closed-loop system is proved based on the lyapunov theory. The simulation results show that the designed controller can achieve high control precision has the important value of engineering application.
Volume: 12
Issue: 2
Page: 349-356
Publish at: 2014-06-01

Forecast Model of Water Quantity Based on Back Propagation Artificial Neural Network

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3549
Shihua Li
Back Propagation (BP) neural network, Widely adopted and utilized in automatic control, image recognition, hydrological forecasting and water quality evaluation, etc., as one of the Artificial Neural Networks, has stronger function and property of mapping, classification, functional fitting. This article takes the water flow of Lanzhou section of Yellow river in China as an example by the way of BP model to predict the water quantity. It is well proved that BP network model can reach the purposes of early warning and forecasting. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5444
Volume: 12
Issue: 6
Page: 4624-4630
Publish at: 2014-06-01

Design of Enterprise Production and Sales measures and Forecast Information System Based on WEB

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3514
Gao Shuzhi , Zhao Na
The enterprise supply of raw materials and production, sales, product information integration as a research object, on the basis of J2EE architecture and the Spring framework, building Web Based Enterprise production and distribution and prediction of multi-tier architecture ERP system. First, use spring+hibernate implementation of MVC design mode ; and, with mvc mode implementation of J2EE Multi - Application System schema, development function perfect enterprise sales management system ; last, use move average law, and Trend Forecast law, and index smooth law, and line type the most Xiaoping method and curve type the most Xiaoping method Five kind of algorithm average to sales accurate real - time forecast, decision sector can developed accurate production plan to effective guidance production job. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5470
Volume: 12
Issue: 6
Page: 4468-4378
Publish at: 2014-06-01
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