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Kinect and Optimization Algorithm Based Mobile Robot Path Planning in Dynamic Environment
Zhenzhong Yu;
Weicou Zheng;
Qigao Fan;
Xin Liu;
Jing Hui
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6682-6690
Based on environmental awareness and effective path planning algorithm, effective robot path planning can be achieved. In this paper, the Kinect sensor, the latest vision sensing technology, is used to perceive the obstacles and terrain information in dynamic environment in real-time, which enables robots to realize effective path planning tasks in complex dynamic environment. Using the real-ime RGB image and 3D image produced by the Kinect sensor, the mobile robot peripheral environment information can be probed. The improved artificial potential field path planning algorithm is optimized by genetic trust method. As a result, it can solve the local minimum points and target unreachable problems in the traditional artificial potential field algorithm. Moreover, it can effectively improve the real-time performance of the algorithm, and eventually realize the optimization of real-time path planning tasks for a robot in dynamic environment. Finally, the experimental system is set up to verify the effectiveness of the proposed methods.
Multi-target Direction Measurement on Bistatic MIMO Radar
Jingfang Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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In recent years, multiple-input multiple output (MIMO) radar has been widespread concern in the domestic and foreign researchers. Bistatic radar draws on the great success of MIMO technology in the communications field, and it has many advantages over conventional radar. In this paper, the direction angles estimations of bistatic MIMO radar are researched. To contrast traditional radar DOA estimates, the direction vector of the bistatic MIMO radar is the Knonecker plot of the emission vector and reception vector, that two-dimensional direction angles is estimated. To solve this problem, the principle of bistatic MIMO radar signal model is in-depthly researched.By proposing Capon dimensionality reduction method, the two-dimensional directions of the dual-based MIMO radar are estimated, and computer simulation is to verify the effectiveness of the method. http://dx.doi.org/10.11591/telkomnika.v12i9.4602
Schemes for Extending the Lifetime of SSD
Kai Bu;
Hui Xu;
Qiyou Xie;
Wei Yi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6940-6945
The limited use lifetime is a significant drawback of the solid state disk (SSD). When the P/E cycles exceed the nominal endurance limit, the entire SSD is rendered non-functional as worn out. As the low endurance, the MLC Flash based SSD is not suitable used in lifetime-aware applications and the total-byte-written of conventional MLC SSD is much less than SLC SSD. In this paper, we proposed an Adaptively Level Adjusting Scheme to use the MLC Flash dynamically to storage different amount of data levels through the entire lifetime. The result shows that the MLC SSD adopting this method could be totally written 4.8X more data than conventional MLC SSD and 16.5% more than SLC SSD. Another simple method named Post Life Slavaging Scheme is also proposed to benefit from the post life of a MLC SSD. It can extend the real P/E endurance by 2X when the user capacity reduced to 92% of original cacapcity.
Human Activity Recognition on Smartphone: A Classification Analysis
Shianghau Wu;
Yanan Song
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp7041-7045
The study hinged on the human activity recognition on smartphones by using the random forests model and Ada Boost model to make the classification. The study compared the classification results of two models and found the AdaBoost model had the better classification results. The study also found the Ada Boost model had the advantage of less calculation time.
SSR Alleviation using BVLC Supplementary Controlled SVS of Series Compensated Power System
Narendra Kumar;
Sanjiv Kumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6551-6559
Abstract The sub synchronous resonance (SSR) is a substantial problem in power system having a steam turbine generator connected to a series compensated transmission system. Flexible AC transmission systems (FACTS) controllers are widely applied to mitigate SSR. In this paper, a bus voltage and line current (BVLC) supplementary subsynchronous damping controller (SSDC) is proposed to alleviate subsynchronous resonance (SSR) and damping power system oscillations in a power system. Both eigenvalue investigation and time-domain simulation results verify that the proposed method can damp torsional oscillations of the power system with SVS bus voltage and line current (BVLC) supplementary controller. The results demonstrate that the proposed controller has a successful performance in minimizing the SSR. It is shown that the controller is able to stabilize all unstable modes. The study is performed on the system adapted from the IEEE first benchmark model. All the simulations are carried out in MATLAB/SIMULINK environment.
Vision-Based Horizon Extraction Method under Kalman Filter Framework
Zhenyu Guan;
Jie Li;
Huan Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6780-6788
As the demands of UAV’s visual navigation technology, we bring out a new horizon extraction method in this paper. Firstly, we propose a horizon extraction algorithm for single image. We employ dark channel in single image to avoid the interferences from clouds and fogs, and use Sobel operator extract edges, among which we can extract the true horizon through an algorithm mentioned in Paragraph II. Secondly, we propose a horizon extraction algorithm for video streaming under Kalman Filter (KF) framework based on the horizon extraction algorism for single image. The position of horizon in each frame will be estimated by using the priori horizon positions under KF framework at first, and a search neighborhood will be determined around the estimated position, in which we can get the true position of the horizon through a certain search algorithm. Simulations and analyses are carried out with aerial video streaming, the results show that such algorithms work well on those videos with noise, clouds and fogs, while the time overhead decrease by about 50% than traditional algorithms.
Artificial Neural Network Weight Optimization: A Review
Abdirashid Salad Nur;
Nor Haizan Mohd Radzi;
Ashraf Osman Ibrahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6897-6902
Optimizing the weights of Artificial Neural Networks (ANNs) is a great important of a complex task in the research of machine learning due to dependence of its performance to the success of learning process and the training method. This paper reviews the implementation of meta-heuristic algorithms in ANNs’ weight optimization by studying their advantages and disadvantages giving consideration to some meta-heuristic members such as Genetic algorithim, Particle Swarm Optimization and recently introduced meta-heuristic algorithm called Harmony Search Algorithm (HSA). Also, the application of local search based algorithms to optimize the ANNs weights and their benefits as well as their limitations are briefly elaborated. Finally, a comparison between local search methods and global optimization methods is carried out to speculate the trends in the progresses of ANNs’ weight optimization in the current resrearch.
A Double-Efficient Integrity Verification Scheme to Cloud Storage Data
Hongyao Deng;
Song Xiuli;
Tao Jingsong
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp7007-7013
This paper proposed two integrity verification schemes based on Schnorr Signature Scheme. One is safety integrity verification scheme (SIVS). Another is efficient integrity verification scheme (EIVS). They are difference in characteristics. EIVS has good computational costs while SIVS has high security guarantee. However, they are similar in work. The cloud storage server will choose a set of file blocks and verification blocks randomly while the user sends a challenge, and generate response values to send to the user. The user generates a set of signatures to verify the values. The aim is to check whether the cloud storage server preserves perfectly the user's file or not. In contrast with other schemes, the approach not only has double integrity verification guarantee schemes but also pay lower costs for communication and computation.
Industries TFP and Environmental Regulation Cost Analysis Using Malmquist–Luenberger
Chunlan Liu;
Haiyan Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6511-6518
Environmental problem is a worldwide focus, so as the effect of environmental regulation on economic. In this paper, we constructed a model including energy consumption and integrated pollutant emissions of "Three wastes" as "bad" output. This paper used Malmquist –Luenberger based on directional distance function to measure TFP and environmental regulation cost of Chinese 36 industries from 2001 to 2010. The result was that: From the overall analysis, the TFP was lower after considering the environmental regulation. Technological progress was the main driver of productivity growth. Environmental regulation brought about a certain cost; from the industry analysis, there were some differences between industries on TFP growth and the cost of environmental regulation. The monopoly and heavy industrieswere the focus in the industry; from the annual analysis, TFP increased during "Eleventh Five-Year Plan" period, mainly drived by technological progress.
Performance Analysis of Extended AODV with IEEE802.11e HCCA to support QoS in Hybrid Network
Shalini Singh;
Rajeev Tripathi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v12.i9.pp6644-6650
The integration of the fixed wired network and wireless mobile ad hoc network can be used to eliminate dead zones in the wireless network, and can also be used to extend the coverage of wireless networks. The integration of wired and wireless networks also known as hybrid networks, is gaining popularity due to its usefulness and practical use. Real time applications in hybrid network need some suitable quality of service. The quality thresholds are imposed on parameters like delay, jitter, packet loss and throughput. This paper utilizes the Extended AODV routing protocol for communication between MANET and fixed wired network and IEEE 802.11e MAC function HCF Controlled Channel Access (HCCA) to support quality of service in hybrid network. The performance of extended AODV, with HCCA (IEEE 802.11e) and without HCCA (IEEE802.11) is compared using simulation for real time voice over IP traffic. The extensive set of simulations shows that extended AODV with HCCA provides the drastic reduction in jitter compare to without HCCA.