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Robots implementation for odor source localization using PSO algorithm

WSEAS Transactions on Circuits and systems 2011年第4期10卷 115-125页

作者： Jatmiko, W. Jovan, F. Dhiemas, R.Y.S. Sakti, Alvissalim M. Ivan, Fanany M. Febrian, A. Fukuda, T. Sekiyama, K. Faculty of Computer Science Universitas Indonesia Margonda Depok Indonesia Dept. of Micro-Nano Systems Engineering Nagoya University Chikusa-ku Nagoya Japan

Research topics in robotic application is quite varies but one of the most interesting topic is odor source localization. This research combine the robot ability to recognize odor and track the movement so that robot can find the source. Most of the research are done to improve the algorithm to localize the source by using simulation software. This paper tries to verify the robustness of one of the localization method known as Particle Swarm Optimization (PSO) in the real-world implementation. This paper will shows robot model that used in the experiment and also discuss the architecture to implement robot behavior. A group of mobile robots equipped with wireless communication device and odor sensors is employed. The experiment is conduct in area of 488cm × 488cm with dynamic odor source in one end. The experiment also used a set of camera to track robots position. The experiement result verifies that PSO is technically sound for real-world odor source localization. In this experiment, PSO can localized the source in 360 seconds or bellow.

关键词： Robots

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Corporate News Classification and Valence Prediction: A Supervised Approach 11

Corporate News Classification and Valence Prediction: A Supe...

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Workshop on Computational Complexity Analysis and Algorithm Design for Combinatorial Optimization Problems

作者： Syed Aqueel Haider Rishabh Mehrotra Dept. of Computer Science & Engineering MIT Manipal University KA-576104 India Computer Science & Information Systems Group BITS Pilani RajasthanIndia

ISBN: (纸本)9781618392466

News articles have always been a prominent force in the formation of a company's financial image in the minds of the general public, especially the investors. Given the large amount of news being generated these days through various websites, it is possible to mine the general sentiment of a particular company being portrayed by media agencies over a period of time, which can be utilized to gauge the long term impact on the investment potential of the company. However, given such a vast amount of news data, we need to first separate corporate news from other kinds namely, sports, entertainment, science & technology, etc. We propose a system which takes news as, checks whether it is of corporate nature, and then identifies the polarity of the sentiment expressed in the news. The system is also capable of distinguishing the company/organization which is the subject of the news from other organizations which find mention, and this is used to pair the sentiment polarity with the identified company.

关键词： news polarity websites

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Fair Bandwidth Assignment in Hierarchical Scheduling for Mobile WiMAX System

Fair Bandwidth Assignment in Hierarchical Scheduling for Mob...

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Asia-Pacific Conference on Communications

作者： Ali Mohammed Alsahag Borhanuddin Mohd Ali Nor Kamariah Noordin Hafizal Mohamad Dept. Computer & Comms. Systems Engineering University Putra Malaysia Wireless Communications MIMOS Berhad Technology Park Malaysia

ISBN: (纸本)9781457703898

The increasing demands for multimedia applications with various QoS requirements arouse the interest of researchers in the Fourth-generation wireless networks such as WiMAX. In order to ensure that the QoS requirements of these applications are met, effective scheduling algorithms must be designed. Even though it may be trivial to ensure that the minimum QoS of all service classes is attained, this often results in a marked degradation of the overall system throughput. In this paper, we propose a fair bandwidth assignment algorithm that allocates the bandwidth among different services classes based on a hierarchical scheduler. By taking the overall system throughput and the QoS requirements into consideration, our proposed algorithm dynamically assigns the available bandwidth to the various service classes in such a way that the network resource utilization is optimized. Simulations result showed that the proposed algorithm optimize the overall system throughput and assigns bandwidth effectively to the different service classes while ensuring that the QoS requirements are satisfied.

关键词： Mobile WiMAX MDRR QOS Scheduler

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A two-tier energy-efficient secure routing protocol for Wireless Sensor Networks

A two-tier energy-efficient secure routing protocol for Wire...

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2011 7th International Conference on Information Assurance and Security, IAS 2011

作者： El-Semary, Aly M. Azim, Mohamed Mostafa A. College of Computer Science and Eng. Taibah University Al-Madina Al-Munawara Saudi Arabia Systems and Comp. Eng. Dept. Faculty of Engineering Al-Azhar Univ. Cairo Egypt Faculty of Industrial Education Beni-Suef University Egypt

ISBN: (纸本)9781457721533

Recently, Wireless Sensor Networks (WSNs) have been deployed into a variety of applications including homeland security, military systems, and health care. Sensor nodes deployed in such networks are subject to several attacks such as sinkhole and select forwarding. Therefore, developing secure and energy-efficient routing protocols to protect WSNs against these attacks while efficiently utilize the energy of the deployed nodes has become imperative. Several routing protocols have been proposed in the literature. However, most of these protocols forward packets based on information collected from neighbor nodes. This allows a malicious sensor node to deceive its neighbor to forward their packets through it. This makes the network's nodes vulnerable to various types of attacks such as sinkhole, spoofing, and select forwarding attacks. Therefore, this paper proposes a two-tier energy-efficient secure routing protocol for WSNs in which each sensor node forwards its packets based on its own information. Thus it cannot be deceived by any other sensor node. Simulation results indicate clearly that, the performance of the proposed protocol outperforms that of both the Path Energy Weight and the minimum hop protocols under several attacks such as sinkhole and spoofing or Sybil attacks. In addition, the proposed protocol exhibits a grateful performance under attack-free conditions and evenly distributes the network loads among the deployed nodes to prolong the network life time. © 2011 IEEE.

关键词： Sensor nodes

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Novel Estimation Method of Community AADT and VMT via Circuit Network Models and Simulation

Novel Estimation Method of Community AADT and VMT via Circui...

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IEEE Conference on Decision and Control

作者： Sheng-Guo Wang Libin Bai Xun Bao Yue Liu Guangyi Cao Dept. of Engineering Technology (ET) & Dept. of Software and Information Systems (SIS) University of North Carolina at Charlotte (UNCC) NC 28223-0001 USA Dept. of SIS UNCC USA University of Science and Technology of China Anhui China Dept. of ECE UNCC USA

ISBN: (纸本)9781612848006

Annual Average Daily Traffic (AADT) and Vehicle Miles Traveled (VMT) of traffic network are very important data for the plan and decision making. How to estimate AADT and VMT on local area roads is a long-time existing problem due to lack of traffic monitor counts. This paper presents a novel approach to the community area AADT and VMT estimation by developing circuit network model and simulation to solve this difficult problem for community local traffic network roads. The circuit network model is developed based on the community traffic network, and has three sub-models combined by the least squares method (LSM). These sub-models respectively represent even, local and separate distributions of the entrance traffic flows among households in a community. The method is well validated by sampled measurement data and circuit network simulation results. In addition, it is discovered that the total entrance traffic amount is strongly related to the total number of households in communities. Thus, it makes the new method feasible to estimate the AADT and VMT on community local area roads even without any measurement in future. The proposed method not only can provide accurate estimate, but also can dramatically reduce the labor load and cost of traffic counts.

关键词： Roads Communities Integrated circuit modeling Estimation Predictive models Monitoring Accuracy

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Nonparametric Approach to Calculate Seasonal Factors for AADT Estimation

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IFAC Proceedings Volumes 2011年第1期44卷 10727-10732页

作者： Bingduo Yang Sheng-Guo Wang Zongwu Cai Wang Yanan Institute for Studies in Economics Xiamen University Xiamen 361005 Fujian China Dept. of Mathematics and Statistics Univ. of North Carolina at Charlotte NC 28223-0001 USA Dept. of Engineering Technology Dept. of Software & Information Systems University of North Carolina at Charlotte Charlotte NC 28223-0001 USA

Abstract Seasonal factors are very important to the estimation of annual average daily traffic (AADT) and Vehicle Miles Traveled (VMT). It is used to transfer one or two days measured traffic data at portable traffic monitoring sites to the AADT. Most literatures focus on taking the average of seasonal factors within groups of roads. Factor grouping including three techniques to calculate seasonal factors has been recommended by the Federal Highway Administration (FHWA). However, as recognized it is difficult to select a representative group sample of roads. In this paper, to calculate seasonal factors, we propose a new nonparametric approach by introducing the distance kernel and by using the local weights. Moreover, the proposed approach can be extended to grouping cases if prior information of grouping is available. The assumptions used in the approach are established. The nonparametric seasonal factors estimation and test procedure are presented. Finally, the real example demonstrates the new approach by using the data observed in the North Carolina.

关键词： Transportation seasonal factors monthly factors weekly factors nonparametric regression

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Extracting BI-RADS features from Portuguese clinical texts

Extracting BI-RADS features from Portuguese clinical texts

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Houssam Nassif Filipe Cunha Inês C. Moreira Ricardo Cruz-Correia Eliana Sousa David Page Elizabeth Burnside Inês Dutra University of Wisconsin Madison USA AroundKnowledge Porto Portugal Centro Hospitalar S. João and Faculty of Medicine of the University of Porto INESC Porto Faculty of Engineering of University of Porto Porto Portugal CINTESIS - Center for Research in Health Technologies and Information Systems Faculty of Medicine of University of Porto Porto Portugal CIDES - Health Information and Decision Sciences Faculty of Medicine of Universidade do Porto Porto Portugal Dept. of Biostatistics and Medical Informatics UW-Madison USA Department of Radiology University of Wisconsin School of Medicine and Public Health Madison WI USA CRACS & INESC-TEC Department of Computer Science Faculty of Sciences University of Porto Porto Portugal

In this work we build the first BI-RADS parser for Portuguese free texts, modeled after existing approaches to extract BI-RADS features from English medical records. Our concept finder uses a semantic grammar based on the BI-RADS lexicon and on iterative transferred expert knowledge. We compare the performance of our algorithm to manual annotation by a specialist in mammography. Our results show that our parser's performance is comparable to the manual method.

关键词： Feature extraction Medical diagnostic imaging Manuals Educational institutions Data mining Cancer

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Energy Efficient Communication Networks Design for Demand Response in Smart Grid

Energy Efficient Communication Networks Design for Demand Re...

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2011年无线通信与信号处理国际会议(WCSP 2011)

作者： Lin Cai Lei Zheng Curran Crawford Simon Parkinson Dan Wang Dept. of Electrical & Computer Engineering University of Victoria Victoria BC Canada Institute for Integrated Energy Systems Dept. of Mech. Eng. University of Victoria Victoria BC

The convergence of electrical power control systems and communication techniques enables the intelligence over current and future power grid system which evolves to the smart grid. Demand response (DR) is considered as a killer application for so-called smart grid. Real-time DR control relies on efficient and reliable communication services. In this paper, the impact of packet losses during communication on DR control has been investigated, using the control strategy in [1]. Then, an analytical model for quantifying the performance of packet loss and energy consumption for transmission in a clustering-based multi-hop wireless communication network has been established. Finally, how to improve the design of wireless communication networks is proposed to satisfy the DR control requirements and to minimize the energy consumption for communications.

关键词： Energy Efficiency Packet-Loss-Ratio Network Topology Control Demand Response Smart Grid

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Classification of EEG data using FHT and SVM based on bayesian network

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International Journal of computer Science Issues 2011年第5 5-2期8卷 239-243页

作者： Baby Deepa, V. Thangaraj, P. Dept. of Software Engnineering M.Kumarasamy College of Engineering Karur Tamil Nadu 639 113 India Dept. of Computer Science and Engineering Bannari Amman Institute of Technology Sathyamangalam Erode Tamil Nadu 638 401 India

Brain computer Interface (BCI) enables the capturing and processing of motor imagery related brain signals which can be interpreted by computers. BCI systems capture the motor imagery signals via Electroencephalogram or Electrocorticogram. The processing of the signal is usually attempted by extracting feature vectors in the frequency domain and using classification algorithms to interpret the motor imagery action. In this paper we investigate the motor imagery signals obtained from BCI competition dataset IVA using the Fast Hartley Transform (FHT) for feature vector extraction and feature reduction using support vector machine. The processed data is trained and classified using the Bayes Net.

关键词： Brain computer interface

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Integration of large-scale metabolic, signaling, and gene regulatory networks with application to infection responses

Integration of large-scale metabolic, signaling, and gene re...

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IEEE Conference on Decision and Control

作者： Guilhem Richard Hyeygjeon Chang Igor Cizelj Calin Belta A. Agung Julius Salomon Amar Boston University Boston MA 02215 USA Dept. of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

ISBN: (纸本)9781612848006

Mathematical models of biochemical networks, such as metabolic, signaling, and gene networks, have been studied extensively and have been shown to provide accurate descriptions of various cell processes. Nevertheless, their usage is restricted by the fact that they are usually studied in isolation, without feedback from the environment in which they evolve. Integrating these models in a global framework is a promising direction in order to increase both their accuracy and predictive capacity. In this paper, we describe the integration of large-scale metabolic and signaling networks with a regulatory gene network. We focus on the response to infection in mouse macrophage cells. Our computational framework allows to virtually simulate any type of infection and to follow its effect on the cell. The model comprises 3,507 chemical species involved in 4,630 reactions evolving at the fast time scale of metabolic and signaling processes. These interact with 20 genes evolving at the slow time scale of gene expression and regulation. We develop a simulator for this model and use it to study infections with Porphyromonas gingivalis.

关键词： Gene Regulatory Networks time scales Infection Metabolic network applications signalling network Leukocyte - Monocyte - Macrophage (MMHCC) Porphyromonas gingivalis simulator

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