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Research on reliable transmission protocol for spatial information networks

ICIC Express Letters 2013年第7期7卷 2183-2188页

作者： Liu, Minmin Sun, Shixin Wang, Junfeng School of Astronautics and Aeronautics University of Electronic Science and Technology of China No. 4 Section 2 North Jianshe Road Chengdu 610054 China College of Computer Science and Engineering University of Electronic Science and Technology of China No. 4 Section 2 North Jianshe Road Chengdu 610054 China School of Computer Science and Engineering Sichuan University No. 24 South Section 1 Yihuan Road Chengdu 610065 China

Spatial information networks (SINs) is a backbone communication network composed with on-orbit multiple satellites and satellite constellation, which is able to provide integrated communication services to various spatial tasks. SINs has several characteristics such as long transmission delay, high Bandwidth Delay and high Link BER. The traditional TCP could not be directly used in SINs environment. For this case, a reliable and TCP-compatible transmission protocol, named as STP, was proposed for SINs. STP improves the transmission capability through enhanced algorithms of slow start, congestion avoidance, fast retransmission and recovery. Experiments were also carried out to validate considerable performance improvements of STP against TCP and prove its adaptability in SINs. © 2013 ICIC International.

关键词： Transmission control protocol

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Local Content Development Framework and Methodology for knowledge and skill development: IEEE Madras section SIGHT case study

Local Content Development Framework and Methodology for know...

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IEEE Global Humanitarian technology Conference (GHTC)

作者： B. Anand A.J. Antony Venus Mukundhan Srinivasan Arun Noel Victor Madhuri K. S.P. Sree Rakshaa Vineeth Vijayaraghavan Kartik Kulkarni Special Interest Group on Humanitarian Technology (SIGHT) IEEE Madras Section Chennai TN 600025 India Special Interest Group on Humanitarian Technology (SIGHT) IEEE Madras Section Chennai TN India Department of Electrical Engineering Indian Institute of Science Bangalore KA India Department of Electrical & Computer Engineering University of Illinois at Chicago Chicago IL USA Solarillion Foundation Chennai TN India Steering Committee Special Interest Group On Humanitarian Technology (SIGHT) IEEE Foster City CA USA

Quality education leading to potential employment is essential for the growth of a nation. This still remains a challenge in India despite much contemporary technological advancement. It is also an evident fact that, the major hiring sectors like IT and manufacturing are facing a slow-down and hence an immediate impact on unemployment. The issue of excess of educated unemployed students must be addressed, else might hamper the growth rate of the nation further. The IEEE Madras section (IEEE-MAS) Special Interest Group on Humanitarian technology (SIGHT) partnering with a Non-Government Organization (NGO) picked the opportunity to address this looming issue through hands-on training in Solar engineering given the vast potential in India. Unlike the computer Based Training (CBT) carried out by many Information technology (IT) organizations today, we fabricated a locale-specific content based on inputs from various stake-holders, including the beneficiaries. We conducted training-cum-workshop of solar lamps to provide an insight into the fundamentals of solar energy to students. This was followed by a two-week online mentoring session where, tutors where availble to mentor the participants develop their own models for the subseuent contest that was held after this program. This framework was adopted to test the efficacy of the workshop. The participation in the contest the by student who attended the workshop, validated the need for a holistic skill development approch. We describe the details of the Content Development Framework and Methodology of this successful program in this paper.

关键词： Training Conferences Educational institutions Industries sections Cities and towns

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Real-world proficiency augmentation among learners through merger of project based learning (PBL) and student social responsibility (SSR): IEEE Madras section SIGHT case study

Real-world proficiency augmentation among learners through m...

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IEEE Global Humanitarian technology Conference (GHTC)

作者： B. Anand A.J. Antony Venus Mukundhan Srinivasan Arun Noel Victor Madhuri K. S.P. Sree Rakshaa Vineeth Vijayaraghavan Kartik Kulkarni Special Interest Group on Humanitarian Technology (SIGHT) IEEE Madras Section Chennai TN 600025 India Department of Electrical Engineering Indian Institute of Science Bangalore KA India Special Interest Group on Humanitarian Technology (SIGHT) IEEE Madras Section Chennai TN India Department of Electrical & Computer Engineering University of Illinois at Chicago Chicago IL USA Solarillion Foundation Chennai TN India Steering Committee Special Interest Group On Humanitarian Technology (SIGHT) IEEE Foster City CA USA

As a result of diverse elements like outdated learning methodology and imbalance of theoretical and experimental knowledge, over 75% of engineering graduates in India are not readily employable. They do not possess real-world skills needed by the corporations. This research discusses strategies for a combined approach of project based learning (PBL) and student social responsibility (SSR) to reinforce real-world skills among undergraduate students. A comprehensive case study carried out by IEEE Madras section Special Interest Group on Humanitarian technology (SIGHT) on students from multiple institutions based on these strategies have been illustrated in this paper. Furthermore, the outcomes of the case study relating to student proficiency development and its social implications are presented.

关键词： Organizations Electronic mail sections Educational institutions Sociology Statistics Systematics

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Dynamic mapping processing between global ontology and local ontologies in grid environment

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Information technology Journal 2013年第12期12卷 2454-2459页

作者： Luo, Yonghong Yu, Zhou Zhuang, Yanhao Zheng, Zhaopeng School of Computer and Communication Engineering Changsha University of Science and Technology 960 2nd Section Wanjiali South Rd. Changsha Hunan 410114 China School of Information and Engineering Henan Institute of Science and Technology China School of Civil Engineering and Transportation South China University of Technology China

In grid computing environment, we can create a global ontology for multiple local ontologies to integrate geographically distributed data sources. However, some data sources are likely to dynamically join and quit grid environment. Thus, it is very important for data semantic access to build dynamic mapping relation between global ontology and local ontologies. In this study, we present mapping algorithms of joining and quitting for data sources in grid system. When a new data source joins grid system, elements mapping between global ontology and its local ontology can be rapidly established through using the method of subtree interception and the corresponding global elements should be added to active elements set. During processing of quitting algorithms, elements mapping between global ontology and the quitted ontology should be canceled and the corresponding global elements need to be move to suspended elements set. In semantic data operation, we regulate only mappings generated from active elements set can be employed for data semantic query. Experimental results show that proposed algorithm effectively fulfils dynamic mappings between global ontology and local ontologies and improves the accuracy of user semantic query in grid environment. © 2013 Asian Network for Scientific Information.

关键词： Ontology

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PROSTATE DISEASES DIAGNOSIS IN POWER DOPPLER SONOGRAPHY

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Biomedical engineering - Applications, Basis and Communications 2014年第2期

作者： Chang, Chuan-Yu Tsai, Yuh-Shyan Chang, Chuan-Wang Fan, Cheng-Min Department of Computer Science and Information Engineering National Yunlin University of Science and Technology 123 University Road Section 3 Douliou Yunlin 64002 Taiwan Department of Urology National Cheng Kung University Hospital No. 1 University Road Tainan City 701 Taiwan Department of Computer Science and Information Engineering Far East University No. 49 Zhonghua Road Xinshi Dist. Tainan City 74448 Taiwan

In order to detect early prostate cancer, physicians usually apply the ultrasound imaging to visualize prostate for diagnosis. However, the traditional gray-scale ultrasound images that obtained from transrectal ultrasound of the prostate are often limited in diagnosing prostate cancer because of cancer heterogeneity, which makes direct diagnosing on the image difficult. Power Doppler ultrasound images improve the diagnosis by providing extra information of blood flow. Previous study has shown that increased blood inflow exists in prostate cancer. It is not difficult to differentiate the malignancy from benign prostate diseases by inspecting Doppler spectrum at bilateral neurovascular bundle sites and using resistive index. Although it is effective;however, it is hand-held, time-consuming, and only limited in a small and static region, which might not represent the real status of the whole prostate. Therefore, this study proposed an integrated dynamic approach to estimate the resistive index of blood flow in regions of interest within or all over the whole prostate. Merits of the proposed approach include the follows: resistive index can be calculated in serial prostate frames;the calculation can be performed on integral prostate region;and the proposed approach shortened the time needed to complete the calculation on whole prostate. Experimental results show that dynamic resistive index is better than conventional resistive index, and comparable with Prostate specific antigen (PSA) test in diagnosing prostate cancer, indicating high performance of the proposed approach, which also reveals feasibility and effectively of it. © 2014 National Taiwan University.

关键词： Urology

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Static analysis of worst-case stack cache behavior 13

Static analysis of worst-case stack cache behavior

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21st International Conference on Real-Time Networks and Systems, RTNS 2013

作者： Jordan, Alexander Brandner, Florian Schoeberl, Martin Compilers and Languages Group Institute of Computer Languages Vienna University of Technology Austria Embedded Systems Engineering Section Dep. of Applied Mathematics and Computer Science Technical University of Denmark Denmark

ISBN: (纸本)9781450320580

Utilizing a stack cache in a real-time system can aid predictability by avoiding interference that heap memory traffic causes on the data cache. While loads and stores are guaranteed cache hits, explicit operations are responsible for managing the stack cache. The behavior of these operations can be analyzed statically. We present algorithms that derive worst-case bounds on the latency-inducing operations of the stack cache. Their results can be used by a static WCET tool. By breaking the analysis down into subproblems that solve intra-procedural data-flow analysis and path searches on the call-graph, the worst-case bounds can be efficiently yet precisely determined. Our evaluation using the MiBench benchmark suite shows that only 37% and 21% of potential stack cache operations actually store to and load from memory, respectively. Analysis times are modest, on average running between 0.46s and 1.30s per benchmark, depending on the size of the stack cache. © 2013 ACM.

关键词： Real time systems

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Measurement of forward-backward multiplicity correlations in lead-lead, proton-lead, and proton-proton collisions with the ATLAS detector

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Physical Review C 2017年第6期95卷 064914-064914页

作者： M. Aaboud G. Aad B. Abbott J. Abdallah O. Abdinov B. Abeloos R. Aben O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. Agricola J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos M. Alhroob B. Ali M. Aliev G. Alimonti J. Alison S. P. Alkire B. M. M. Allbrooke B. W. Allen P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani M. Alstaty B. Alvarez Gonzalez D. Álvarez Piqueras M. G. Alviggi B. T. Amadio K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi C. Antel M. Antonelli A. Antonov F. Anulli M. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster L. J. Armitage O. Arnaez H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Artz S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay K. Augsten G. Avolio B. Axen M. K. Ayoub G. Azuelos M. A. Baak A. E. Baas M. J. Baca H. Bachacou K. Bachas M. Backes M. Backhaus P. Bagiacchi P. Bagnaia Y. Bai J. T. Baines O. K. Baker E. M. Baldin P. Balek T. Balestri F. Balli W. K. Balunas E. Banas Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis M. Barbero T. Barillari M-S Barisits T. Barklow N. Barlow S. L. Barnes B. M. Barnett R. M. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr L. Barranco Navarro F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. Basalaev A. Bassalat R. L. Bates S. J. Batista J. R. Batley M. Battaglia M. Bauce F. Faculté des Sciences Université Mohamed Premier and LPTPM Oujda CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA University of Iowa Iowa City Iowa USA Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Université Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene Oregon USA Department of Physics Stockholm University Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine ICTP Trieste AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas (LIP) Lisboa Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN

Two-particle pseudorapidity correlations are measured in sNN=2.76TeVPb+Pb, sNN=5.02TeVp+Pb, and s=13TeVpp collisions at the Large Hadron Collider (LHC), with total integrated luminosities of approximately 7μb−1, 28 nb−1, and 65 nb−1, respectively. The correlation function CN(η1,η2) is measured as a function of event multiplicity using charged particles in the pseudorapidity range |η|<2.4. The correlation function contains a significant short-range component, which is estimated and subtracted. After removal of the short-range component, the shape of the correlation function is described approximately by 1+〈a12〉1/2η1η2 in all collision systems over the full multiplicity range. The values of 〈a12〉1/2 are consistent for the opposite-charge pairs and same-charge pairs, and for the three collision systems at similar multiplicity. The values of 〈a12〉1/2 and the magnitude of the short-range component both follow a power-law dependence on the event multiplicity. The short-range component in p + Pb collisions, after symmetrizing the proton and lead directions, is found to be smaller at a given η than in pp collisions with comparable multiplicity.

关键词： Nucleon induced nuclear reactions Particle correlations & fluctuations Relativistic heavy-ion collisions

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An application of rough set on the network security model

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ICIC Express Letters, Part B: Applications 2013年第5期4卷 1311-1318页

作者： Wang, Hai-Sheng Wang, Hai-Chen Gui, Xiao-Lin School of Electronics and Information Engineering Xi'an Jiaotong University No. 28 Xianning West Road Xi'an 710049 China School of Computer Science and Technology Xi'an University of Technology No. 5 South Jinhua Road Xi'an 710048 China School of Information Engineering Chang'an University Middle Section of Nan Erhuan Road Xi'an 710064 China

A new network security model based on the rough set classifier is proposed in the paper. The degree of dissatisfaction (DoD) is defined as the probability that a node belongs to the malicious node set. The evaluation of the DoD about a node includes the direct evaluation (the local DoD) and the indirect evaluation (the recommended DoD). To improve the computation accuracy and the efficiency of the DoD we use the rough set classifier combined with Bayesian classifier. Rough set theory is used for rule induction from incomplete data sets. Based on historical transaction records we calculate the local DoD (LDoD) and based on feedback recommendation records we calculate the recommended DoD (RDoD). Trading nodes are classified according to the DoD. Compared with existing trust models, experiment results indicated that the proposed model can obtain the higher examination rate of malicious nodes and the higher transaction success rate. © 2013 ISSN 2185-2766.

关键词： Network security

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Hybridizing biogeography-based optimization with differential evolution for motif discovery problem

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ICIC Express Letters 2013年第12期7卷 3343-3348页

作者： Feng, Si-Ling Zhu, Qing-Xin Gong, Xiu-Jun Zhong, Sheng School of Computer Science and Engineering University of Electronic Science and Technology of China No. 4 Section 2 North Jianshe Road Chengdu 610054 China College of Information Science and Technology Hainan University No. 58 Renmin Avenue Haikou 570228 China School of Computer Science and Technology Tianjin University No. 92 Weijin Road Tianjin 300072 China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin China

The computational discovery of DNA motifs for previously uncharacterized transcription factors in groups of co-regulated genes is a well-studied problem with a great deal of practical relevance to the biologist. In this paper, we apply an improved hybridization of Biogeography-Based Optimization (BBO) with differential evolution (DE) approach, namely BBO/DE, to predict motifs from DNA sequences. BBO/DE combines the exploitation of BBO with the exploration of DE effectively, and hence it can generate the promising candidate solutions. And the migration operators of BBO are modified based on number of iteration to meet motif discovery requirements. Statistical comparisons with some typical existing approaches on three commonly used datasets are provided, which demonstrates the validity and effectiveness of the proposed improved hybrid algorithm. © 2013 ISSN 1881-803X.

关键词： DNA sequences

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Erratum to: Measurement of the charge asymmetry in top-quark pair production in the lepton-plus-jets final state in pp collision data at s = 8 TeV with the ATLAS detector

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The European Physical Journal C 2017年第8期77卷 1-15页

作者： Aad, G. Abbott, B. Abdallah, J. Abdinov, O. Aben, R. Abolins, M. AbouZeid, O. S. Abramowicz, H. Abreu, H. Abreu, R. Abulaiti, Y. Acharya, B. S. Adamczyk, L. Adams, D. L. Adelman, J. Adomeit, S. Adye, T. Affolder, A. A. Agatonovic-Jovin, T. Agricola, J. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akerstedt, H. Åkesson, T. P. A. Akimov, A. V. Alberghi, G. L. Albert, J. Albrand, S. Alconada Verzini, M. J. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexander, G. Alexopoulos, T. Alhroob, M. Alimonti, G. Alio, L. Alison, J. Alkire, S. P. Allbrooke, B. M. M. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Altheimer, A. Alvarez Gonzalez, B. Álvarez Piqueras, D. Alviggi, M. G. Amadio, B. T. Amako, K. Amaral Coutinho, Y. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amorim, A. Amoroso, S. Amram, N. Amundsen, G. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Anders, C. F. Anders, G. Anders, J. K. Anderson, K. J. Andreazza, A. Andrei, V. Angelidakis, S. Angelozzi, I. Anger, P. Angerami, A. Anghinolfi, F. Anisenkov, A. V. Anjos, N. Annovi, A. Antonelli, M. Antonov, A. Antos, J. Anulli, F. Aoki, M. Aperio Bella, L. Arabidze, G. Arai, Y. Araque, J. P. Arce, A. T. H. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arik, M. Armbruster, A. J. Arnaez, O. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Asai, S. Asbah, N. Ashkenazi, A. Åsman, B. Asquith, L. Assamagan, K. Astalos, R. Atkinson, M. Atlay, N. B. Augsten, K. Aurousseau, M. Avolio, G. Axen, B. Ayoub, M. K. Azuelos, G. Baak, M. A. Baas, A. E. Baca, M. J. Bacci, C. Bachacou, H. Bachas, K. Backes, M. Backhaus, M. Bagiacchi, P. Bagnaia, P. Bai, Y. Bain, T. Baines, J. T. Baker, O. K. Baldin, E. M. Balek, P. Balestri, T. Balli, F. Balunas, W. K. Banas, E. Banerjee, Sw. Bannoura, A. A. E. Barak, L. Barberio, E. L. Barberis, D. Barbero, M. Barillari, T. Barisonzi, M. Barklow, T. Barlow, N. Barnes, S. L. Barnett, B. M. Barnett, R. M. Barnovska, Z. Baroncelli, A. Barone, G. Barr, A. J. Barreiro, F. Barreiro Guimarães da Costa, J. Bartoldus, R. B CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman USA Institute of Physics Academia Sinica Taipei Taiwan Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam The Netherlands Department of Physics and Astronomy Michigan State University East Lansing USA Department of Physics University of Toronto Toronto Canada Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene USA Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Physics Department Brookhaven National Laboratory Upton USA Department of Physics Northern Illinois University De Kalb USA Fakultät für Physik Ludwig-Maximilians-Universität München Munich Germany Particle Physics Department Rutherford Appleton Laboratory Didcot UK Oliver Lodge Laboratory University of Liverpool Liverpool UK Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas-LIP Lisbon Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sezione di Roma Tor Vergata Rome Italy Dipartimento di Fisica Università di Roma Tor Vergata Rome Italy Fysiska institutionen Lunds universitet Lund Sweden P.N. Lebedev Institute of Physics

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