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9th International Symposium on Linear Drives for Industry Applications, LDIA 2013

作者： Wei, Xing Chen, Zhen Liu, Lei School of Computer and Information Hefei University of Technology Hefei China Post-Doctoral Research Institute of Computer Science and Technology Hefei University of Technology Hefei China School of Electronics and Information Engineering Anhui University Hefei China

ISBN: (纸本)9783642406324

To tackle the fast reconstruction problem of trust chains, a new collection system model of trusted certificate entries is proposed. The prototype of collection system based on Open Service Gateway Initiative (OSGI) middleware was also brought out, where agents dynamically traveled among entities with centralized management. Then the agents' traveling route policy was given, which came from improved Traveling Salesman Problem (TSP) problem solution. The single division and bilateral propagation were introduced for network loading balance with rational agents' quantities. The Monte Carlo simulation results confirm the correctness and efficiency of our schemes. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Chains

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Equivalent-input-disturbance approach enables sliding-mode control systems to reject unmatched disturbances

Equivalent-input-disturbance approach enables sliding-mode c...

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IEEE International Conference on Industrial technology (ICIT)

作者： Jinhua She Yaodong Pan Hiroshi Hashimoto Qi Lei Min Wu School of Computer Science Tokyo University of Technology Tokyo Japan School of Information Science and Engineering Central South University Changsha China Honeywell Canada Mississauga ON CA Master Program of Innovation for Design and Engineering Advanced Institute of Industrial Technology Tokyo Japan School of Automation China University of Geosciences Wuhan China

ISBN: (纸本)9781479978014

The incorporation of an equivalent-input-disturbance estimator into a conventional sliding-mode control (SMC) system results in a new structure with improved disturbance rejection performance. This configuration enables an SMC system to reject unmatched disturbances. Simulation results for the positioning control of a dual-stage feed drive show that the method not only rejects unmatched disturbances, but also improves the disturbance rejection performance for matched disturbances, thereby demonstrating the validity of the design.

关键词： Observers Actuators Solids State feedback

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Feature extraction for identification of sugarcane rust disease

Feature extraction for identification of sugarcane rust dise...

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2014 International Conference on information, Communication technology and System, ICTS 2014

作者： Dewi, Ratih Kartika Ginardi, R. V. Hari Information Technology and Computer Science Program Brawijaya University Malang Indonesia Dept. of Informatics Faculty of Information Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9781479968572

This research propose an image pattern classification to identify rust disease in sugarcane leaf with a combination of texture and color feature extraction. The purpose of this research is to find appropriate features that can identify sugarcane rust disease. Firstly, normal and diseased images are collected and pre-processed. Then, features of shape, color and texture are extracted from these images. After that, these images are classified by support vector machine classifier. A combination of several features are used to evaluate the appropriate features to find distinctive features for identification of rust disease. When a single feature is used, shape feature has the lowest accuracy of 51% and texture feature has the highest accuracy of 96.5%. A combination of texture and color feature extraction results a highest classification accuracy of 97.5%. A combination of texture and color feature extraction with polynomial kernel results in 98.5 % classification accuracy. © 2014 IEEE.

关键词： Feature extraction

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Comparative study of leaf image recognition with a novel learning-based approach

Comparative study of leaf image recognition with a novel lea...

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science and information Conference (SAI)

作者： Jou-Ken Hsiao Li-Wei Kang Ching-Long Chang Chih-Yang Lin Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan Graduate School of Engineering Science and Technology-Doctoral Program National Yunlin University of Science and Technology Yunlin Taiwan Department of Computer Science and Information Engineering Asia University Taichung Taiwan

Automatic plant identification via computer vision techniques has been greatly important for a number of professionals, such as environmental protectors, land managers, and foresters. In this paper, we conduct a comparative study on leaf image recognition and propose a novel learning-based leaf image recognition technique via sparse representation (or sparse coding) for automatic plant identification. In our learning-based method, in order to model leaf images, we learn an overcomplete dictionary for sparsely representing the training images of each leaf species. Each dictionary is learned using a set of descriptors extracted from the training images in such a way that each descriptor is represented by linear combination of a small number of dictionary atoms. Moreover, we also implement a general bag-of-words (BoW) model-based recognition system for leaf images, used for comparison. We experimentally compare the two approaches and show unique characteristics of our sparse coding-based framework. As a result, efficient leaf recognition can be achieved on public leaf image dataset based on the two evaluated methods, where the proposed sparse coding-based framework can perform better.

关键词： Image recognition Dictionaries Training Feature extraction Shape Vectors Image coding

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One-time password implementation on lego Mindstorms NXT

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Telkomnika (Telecommunication Computing Electronics and Control) 2014年第3期12卷 689-694页

作者： Prasetio, Barlian Henryranu Nurwarsito, Heru Kurniawan, Wijaya Computer System and Robotics Lab Program of Information Technology and Computer Science University of Brawijaya Jl. Veteran Malang Indonesia Computer Networking Lab Program of Information Technology and Computer Science University of Brawijaya Jl. Veteran Malang Indonesia

One of the factors that affect the security of a network or system is user authentication, so that at times it can be said to be no longer safe. Brute force attacks on password systems are a dominant (static) potential way to penetrate network security or user authentication systems. One way to overcome these drawbacks is to use the One Time Password (OTP) algorithm. OTP is a password security system using dynamic passwords. The password will be valid for one session only. In this research, the author will analyse the reliability of the OTP algorithm by applying it to a LEGO Mindstorms robot. The robot will be designed as part of a system where the user will be safe to enter the default password, and then the system will change the password every session. The results of the questionnaire showed that 79% of users felt more secure, but more than 60% said it was difficult to do.

关键词： Authentication

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Learning sparse representation for leaf image recognition

Learning sparse representation for leaf image recognition

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Jou-Ken Hsiao Li-Wei Kang Ching-Long Chang Chao-Yung Hsu Chia-Yen Chen Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan Graduate School of Engineering Science and Technology-Doctoral Program National Yunlin University of Science and Technology Yunlin Taiwan Institute of Information Science Taipei Taiwan Department of Computer Science and Information Engineering National University of Kaohsiung Taiwan

Automatic plant identification via computer vision techniques has been greatly important for a number of professionals, such as environmental protectors, land managers, and foresters. In this paper, a novel leaf image recognition technique via sparse representation is proposed for automatic plant identification. In order to model leaf images, we learn an overcomplete dictionary for sparsely representing the training images of each leaf species. Each dictionary is learned using a set of descriptors extracted from the training images in such a way that each descriptor is represented by linear combination of a small number of dictionary atoms. For each test leaf image, we calculate the correlation between the image and each learned dictionary of leaf species to achieve the identification of the leaf image. As a result, efficient leaf recognition can be achieved on public leaf dataset based on the proposed framework leading to a more compact and richer representation of leaf images compared to traditional clustering approaches. Moreover, our method is also adapted to newly added leaf species without retraining classifiers and suitable to be highly parallelized as well as integrated with any leaf image descriptors/features.

关键词： Image recognition Dictionaries Training Feature extraction Shape Educational institutions computer vision

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Author Correction: Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

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Nature genetics 2018年第12期50卷 1754页

作者： Huipeng Li Elise T Courtois Debarka Sengupta Yuliana Tan Kok Hao Chen Jolene Jie Lin Goh Say Li Kong Clarinda Chua Lim Kiat Hon Wah Siew Tan Mark Wong Igor Cima Min-Han Tan Lawrence J K Wee Axel M Hillmer Iain Beehuat Tan Paul Robson Shyam Prabhakar Computational and Systems Biology Genome Institute of Singapore Singapore Singapore. Developmental Cellomics Laboratory Genome Institute of Singapore Singapore Singapore. Department of Computer Science and Engineering and Center for Computational Biology Indraprastha Institute of Information Technology Delhi India. Synthetic Biology Genome Institute of Singapore Singapore Singapore. Cancer Therapeutics and Stratified Oncology Genome Institute of Singapore Singapore Singapore. Department of Medical Oncology National Cancer Centre Singapore Singapore Singapore. Department of Pathology Singapore General Hospital Singapore Singapore. Department of Colorectal Surgery Singapore General Hospital Singapore Singapore. Institute of Bioengineering and Nanotechnology Singapore Singapore. Data Analytics Department Institute for Infocomm Research Singapore Singapore. Cancer Therapeutics and Stratified Oncology Genome Institute of Singapore Singapore Singapore. iain.tan.b.h@singhealth.com.sg. Department of Medical Oncology National Cancer Centre Singapore Singapore Singapore. iain.tan.b.h@singhealth.com.sg. Program in Cancer and Stem Cell Biology Duke-NUS Medical School Singapore Singapore. iain.tan.b.h@singhealth.com.sg. Developmental Cellomics Laboratory Genome Institute of Singapore Singapore Singapore. paul.robson@***. The Jackson Laboratory for Genomic Medicine Farmington Connecticut USA. paul.robson@***. Department of Genetics and Genome Sciences Institute for Systems Genomics University of Connecticut Farmington Connecticut USA. paul.robson@***. Department of Biological Sciences National University of Singapore Singapore Singapore. paul.robson@***. Computational and Systems Biology Genome Institute of Singapore Singapore Singapore. prabhakars@gis.a-star.edu.sg.

In the version of the article published, the author list is not accurate. Igor Cima and Min-Han Tan should have been authors, appearing after Mark Wong in the author list, while Paul Jongjoon Choi should not have been listed as an author. Igor Cima and Min-Han Tan both have the affiliation Institute of Bioengineering and Nanotechnology, Singapore, Singapore, and their contributions should have been noted in the Author Contributions section as "I.C. preprocessed Primary Cell Atlas data with inputs from M.-H.T." The following description of the contribution of Paul Jongjoon Choi should not have appeared: "P.J.C. supported the smFISH experiments." In the 'RCA: global panel' section of the Online Methods, the following sentence should have appeared as the second sentence, "An expression atlas of human primary cells (the Primary Cell Atlas) was preprocessed similarly to in ref. 55," with new reference 55 (Cima, I. et al. Tumor-derived circulating endothelial cell clusters in colorectal cancer. science Transl. Med. 8, 345ra89, 2016).

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Virtual operating room for collaborative training of surgical nurses

Virtual operating room for collaborative training of surgica...

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20th International Conference on Collaboration and technology, CRIWG 2014

作者： Kleven, Nils Fredrik Prasolova-Førland, Ekaterina Fominykh, Mikhail Hansen, Arne Rasmussen, Guri Sagberg, Lisa Millgård Lindseth, Frank Department of Computer and Information Science Norwegian University of Science and Technology Norway Program for Learning with ICT Norwegian University of Science and Technology Norway Faculty of Nursing Sør-Trøndelag University College Norway Department of Neurosurgery St. Olav's University Hospital Norway Department of Medical Technology SINTEF Norway

ISBN: (纸本)9783319101651

In this paper, we present the first results of a study exploring how to support collaborative learning of surgical nursing students in a 3D virtual world. A Virtual Operating room, resembling the one at St. Olav's University Hospital in Trondheim, Norway was created in Second Life to accommodate an educational role-play. In this role-play, the operating nursing students could practice communication with patients and cooperation in the team while preparing patients for surgery. At the first stage of the evaluation, the virtual simulation has been tested among nine postgraduate nursing students. The participants gave their evaluation and opinions in the form of questionnaires and discussion after the role-plays. Following the analysis of the data, we present a summary of the most important results in this paper. This study provides a number of suggestions for improving the learning process when role-playing in a virtual environment. We demonstrate that an educational simulation can be implemented with limited resources, and yet be practically useful in education of health personnel. Further research with medical and nursing students is highly applicable and feasible, and should include a larger group of participants. In the next stage of our work, the evaluation of the Virtual Operating room has been conducted with nurses, who are on an earlier stage of their study program, as well as anesthesia nurses and non-medics. © 2014 Springer International Publishing.

关键词： Operating rooms

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Feature extraction for identification of sugarcane rust disease

Feature extraction for identification of sugarcane rust dise...

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International Conference on information, Communication technology and System (ICTS)

作者： Ratih Kartika Dewi R. V. Hari Ginardi Information Technology and Computer Science Program Brawijaya University Malang Indonesia Faculty of Information Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia

关键词： Image color analysis Feature extraction Diseases Shape Accuracy Support vector machines Kernel

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Multi-radio over Fiber Architecture for Road Vehicle Communication in VANETs

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Procedia computer science 2014年 32卷 1022-1029页

作者： H.H.R. Sherazi I. Raza M.H. Chaudary S.A. Hussain M.H. Raza Department of Computer Science COMSATS Institute of Information Technology Lahore 54000 Pakistan Department of Computer Science & IT Lahore Leeds University Lahore Pakistan Internetworking Program Faculty of Engineering Dalhousie University Canada

Vehicular Ad-hoc Networks (VANET) are employing heterogeneous technologies now a days to meet the increasing demands of Intelligent Transportation System (ITS) applications such as enriched multimedia, video conferencing, gaming and online collaboration. Deployment and maintenance cost for infrastructures are also a major concern. This work proposes a framework, capable of catering multiple technologies simultaneously (such as local area network, wide area networks and cellular networks), that deploys wired and wireless integrated technologies to exploit the advantages of both. Therefore, it offers the architecture based on radio over fiber technology to meet the future requirements of high data rate for Road Vehicle Communication (RVC) in VANETs and it comes up with the most important and perhaps desperately needed feature of ‘Future technology Support’ yielding very high data rates support. Several traditionally deployed architectures are striving to come up with the future needs but due to their various limitations they were unable to attain their expected outcomes. The proposed RoF based architecture justifies its need inducing a true value and powerful features to dramatically enhance the overall performance of the entire system. Several evaluation parameters have been chosen that clearly present the strength of proposed RoF framework and prove that RoF framework is the better option for the service providers in the area of ITS applications.

关键词： VANET intelligent transportation systems road vehicle communication radio-over-fiber radio access unit central site

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