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European Conference on Circuit Theory and Design, ECCTD

作者： Valeriu Beiu Walid Ibrahim Azam Beg Liren Zhang Mihai Tache Department of Computer Engineering Faculty of Information Technology United Arab Emirates University Al-Ain UAE School of Computing and Intelligent Systems University of Ulster UK Department of Systems and Computer Engineering Carleton UniversityX Ottawa Canada

Power consumption has been recognized as a grand challenge for nanoelectronics. With continuous scaling, wires (much more than devices) are going to be determining (almost entirely) the dynamic power: (i) their numbers are increasing exponentially, as each device needs a few wires; and (ii) they do not scale well, as their parasitic capacitances and RC-delays are not scaling in synch with device scaling. That is why innovations on both evolutionary (i.e., based-on-wires) as well as revolutionary (i.e., without-wire, or beyond-wire) solutions are called upon to tackle this challenge. Trying to find inspiration from neurons, we focus on axons which are able to communicate at quite large distances on an amazingly limited power budget. In particular, the paper analyzes axon-inspired communications as dense locally-connected arrays of voltage-gated (non-linear) ion channels. Our theoretical results suggest that hexagonal arrays should minimize power consumption. Emulating the logical functioning of voltage-gated ion channels by single-electron technology/transistor gates can lead to practical power/energy lower bounds for nanoelectronics.

关键词： Wires Logic gates Integrated circuit interconnections Biomembranes Nanoelectronics Neurons Electric potential

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Distributed approach to mitigate wormhole attack in wireless sensor networks

Distributed approach to mitigate wormhole attack in wireless...

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International Conference on Networked Computing (INC)

作者： Ali Modirkhazeni Saeedeh Aghamahmoodi Arsalan Modirkhazeni Naghmeh Niknejad Faculty of Computer Science and Information Systems University Technology Malaysia Johor Darul Takzim Malaysia Electrical and Computer Engineering Department Shahid Beheshti University Tehran Iran Faculty of Electrical Engineering Sajad University Mashhad Iran

Wireless sensor network is a growing technology which is offering solution to variety of application areas such as health care, military and industry. These kinds of networks usually apply number of devices known as sensor devices. These sensors which are limited are distributed over the environment and communicate through the wireless media. As sensor devices are limited the network exposed to variety of attacks. Conventional security mechanisms are not suitable for WSNs as they are usually heavy and nodes are limited. One of the most severe attacks to detect and defend in wireless sensor network is wormhole attack which data will be forwarded from one part of the network to the other part trough the wormhole tunnel. In this paper we focused on wormhole attack and proposed distributed network discovery approach to mitigate its effect. According to the simulation our approach can mitigated almost 100% of wormhole attack overload in the environment where 54% of nodes are affected with the wormhole.

关键词： Wireless sensor networks Cryptography Technological innovation Monitoring Routing protocols Equations

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Neonatal mortality prediction using real-time medical measurements

Neonatal mortality prediction using real-time medical measur...

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作者： Gilchrist, Jeff Ennett, Colleen M. Frize, Monique Bariciak, Erika Dept. Systems and Computer Engineering Carleton University Ottawa Canada Dept. Controls Communication and Healthcare Informatics Philips Research North America Briarcliff Manor NY United States School of Information Technology and Engineering University of Ottawa Ottawa Canada Faculty of Medicine University of Ottawa Children's Hospital of Eastern Ontario Ottawa Canada

ISBN: (纸本)9781424493388

Current neonatal illness scoring systems are not designed to predict outcomes for individual patients, but rather can provide an overview of a population of patients for objective comparison when reporting outcomes. Having more patient-specific predictions may help physicians make better treatment decisions in a Neonatal Intensive Care Unit (NICU) environment. We developed neonatal mortality prediction models using C5.0 decision tree software that met criteria for clinically useful results (50-60% sensitivity, 90% specificity) for individual patients using data from real-time medical measurement devices. The models were evaluated to identify: (1) the model with the best performance based on minimizing false positives, and (2) the attributes used most often in the best clinically useful models. Performance results showed that the mortality model using summary data during the first 48 hours after NICU admission provided, on average, the highest sensitivity and specificity with the least number of false positives (sensitivity=63%, specificity=94%, positive predictive value=38%), exceeding the performance criteria requested by our clinical partners. The attributes used most often in the best models for predicting mortality with our data were: mean blood pressure, serum pH, immature/total neutrophil ratio, serum sodium, serum glucose, respiratory rate, heart rate, and pO2 blood oxygen level. © 2011 IEEE.

关键词： Decision support systems

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A New Approach for Quality Enforcement in Communities of Web Services

A New Approach for Quality Enforcement in Communities of Web...

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IEEE International Conference on Services Computing (SCC)

作者： Abdelghani Benharref M. Adel Serhani Salah Bouktif Jamal Bentahar College of Engineering and Computer Science Abu Dhabi University Abu Dhabi UAE Faculty of Information Technology United Arab Emirates University UAE Concordia Institute of Information Systems Engineering Concordia University Montreal Canada

Nowadays, Web Services are considered as de facto and attracting distributed approach of application/services integration over the Internet. Web Services can also operate within communities to improve their visibility and market share. In a community, Web Services usually offer competing and/or complementing services. In this paper, we augment the community approach by defining a specific-purpose community to monitor Web Services operating in any Web Services community. This monitoring community consists of a set of Web Services capable of observing other Web Services. Clients, providers, as well as managers of communities can make use of the monitoring community to check if a Web Service is operating as expected. This paper defines the overall architecture of the monitoring community, the business model behind, different rules and terms to be respected by its members, services it offers to its various classes of customers. The paper also presents promising experimental results using the monitoring community.

关键词： Communities Monitoring Web services Business Collaboration Availability Certification

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Multi-phase time series models for motorway flow forecasting

Multi-phase time series models for motorway flow forecasting

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International Conference on Intelligent Transportation

作者： Mohsen Davarynejad Yubin Wang Jos Vrancken Jan van den Berg Faculty of Technology Policy and Management Systems Engineering Group Delft University of Technology Netherlands Trinite´ Automation B.V. Postbus 189 1420 AD Uithoorn Faculty of Technology Policy and Management Section of Information and Communication Technologies Delft University of Technology Netherlands

In this study, a multi-phase time series prediction approaches is proposed for solving the motorway flow forecasting problem. The schemes presented here is based on an extensive study of flow patterns that were collected from a densely used ring road of Amsterdam, The Netherlands. The new prediction approach proposed here is based on a multiphase information extraction whose ultimate goal is to forecast traffic states at the boundary points of a network. With its simple architecture that makes the proposed approach of interest of practical application, a significant improvement is achieved in comparison with existing models. In its general form, the proposed approach could handle the curse of dimensionality, a common problem associated with the number of dimensions of input space.

关键词： Predictive models Data models Adaptation models Prediction algorithms Support vector machines Time series analysis Roads

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Reducing network congestion by separating nets of single-row networks into layers

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Procedia - Social and Behavioral Sciences 2011年 28卷 39-44页

作者： A. Noraziah Tutut Herawan Noriyani Mohd Zin Norazaliza Mohd Jamil Mustafa Mat Deris Zailani Abdullah Faculty of Computer Systems and Software Engineering Faculty of Industrial Sciences and Technology Universiti Malaysia Pahang Lebuhraya Tun Razak Gambang 26300 Kuantan Pahang Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja 86400 Batu Pahat Johor Malaysia Department of Computer Science Universiti Malaysia Terengganu 21030 Kuala Terengganu Terengganu Malaysia

Single-row routing is a method for routing pair of nodes set in a single-row axis. The nets construct the wire without traverse each other in the printed circuit board design that has been drawn from left to right. The main purpose in single-row routing is to achieve the optimal results of minimum congestion arise from the number of horizontal tracks in the network. Optimal results for a single layer network have been achieved through a model called Enhanced Simulated Annealing Single-row Routing (ESSR). However, a single layer model suffers from non-tolerable lower bound values with high congestion depending on the network size. These results may further be improved by partitioning the network into two or more layers. In this paper, a technique for partitioning the nodes from a single-row network into several layers of planar graphs by using k-means algorithm has been proposed. The experiment result shows that the proposed technique is able to minimize the network congestions.

关键词： ESSR graph clustering k-means algorithm single-row routing

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Class content design and development of production planning and inventory management in virtual manufacturing business 21

Class content design and development of production planning ...

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21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011

作者： Kakehi, Munenori Hashimoto, Naomi Watanabe, Ichie Sun, Jing Ishi, Nobuaki Tamaki, Kinya Department of Computer and Information Science Seikei University Musashino-Shi Tokyo180-8633 Japan Department of Civil Engineering and Systems Management Nagoya Institute of Technology Nagoya-Shi Aichi466-8555 Japan Faculty of Information and Communication Bunkyo Univercity Chigasaki-shi Kanagawa253-8550 Japan School of Social Informations Aoyama Gakuin Univercity Shibuya-ku Tokyo150-8366 Japan

ISBN: (纸本)9783839602935

The TF21 group of eLPCO (Aoyama Gakuin University General Institute) researches the business process and the education method of the Product Life-cycle Management;PLM in the manufacturing business. In this project, We designed and developed "Production and Sales Service Management" education program to understand the demand forecasting, Supply Chain Management;SCM, and inventory management in the university education. In this paper, we discuss the class content design and development to understand the SCM and inventory management that is a part of this lesson program. This paper is shown below. First, the virtual manufacturing industry and the virtual business process are designed. Next, the lesson scenario is designed. Thirdly, the SCM experience simulator that used the spreadsheet software is developed. Finally, the developed lesson is executed, and the teaching evaluation is described.

关键词： Supply chain management

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Internet Bad Neighborhoods: The spam case 11

Internet Bad Neighborhoods: The spam case

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International Conference on Network and Service Management

作者： Giovane C. M. Moura Ramin Sadre Aiko Pras Centre of Telematics and Information Technology (CTIT) Faculty of Electrical Engineering Mathematics and Computer Science (EEMCS) Design and Analysis of Communications Systems (DACS) University of Twente Enschede Netherlands

ISBN: (纸本)9783901882449

A significant part of current attacks on the Internet comes from compromised hosts that, usually, take part in botnets. Even though bots themselves can be distributed all over the world, there is evidence that most of the malicious hosts are, in fact, concentrated in small fractions of the IP address space, on certain networks. Based on that, the Bad Neighborhood concept was introduced. The general idea of Bad Neighborhoods is to rate a subnetwork by the number of malicious hosts that have been observed in that subnetwork. Even though Bad Neighborhoods were successfully employed in mail filtering, the very concept was not investigated in further details. Therefore, in this work we provide a closer look on it, by proposing four definitions for spam-based Bad Neighborhoods that take into account the way spammers operate. We apply the definitions to real world data sets and show that they provide valuable insight into the behavior of spammers and the networks hosting them. Among our findings, we show that 10% of the Bad Neighborhoods are responsible for the majority of spam.

关键词： IP networks Servers Internet Unsolicited electronic mail Postal services Monitoring

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Cryptographic security models for eHealth P2P database management systems network

Cryptographic security models for eHealth P2P database manag...

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Annual Conference on Privacy, Security and Trust, PST

作者： Sk. Md. Mizanur Rahman Md. Mehedi Masud Carlisle Adams Khalil El-Khatib Hussein T. Mouftah Eiji Okamoto School of Information Technology and Engineering University of Ottawa Ottawa ONT Canada Computer Science Department Taif University Taif Makkah Saudi Arabia Faculty of Business and Information Technology UOIT Oshawa ONT Canada Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Japan

In an eHealth peer-to-peer database management system(P2PDBMS), peers exchange data in a pair-wise fashion on-the-fly in response to a query without any centralized control. Generally, the communication link between two peers is insecure and peers create a temporary session while exchanging data. When peers exchange highly confidential data in an eHealth network over an insecure communication link, the data might be tampered with or trapped and disclosed by intruders, which is a serious offence for the clients of an eHealth P2PDBMS. As there is no centralized control for data exchange in eHealth P2PDBMS, it is infeasible to assume a centralized third party security infrastructure to protect confidential data. So far, there is currently no available/existing security protocol for secured data exchange in eHealth P2PDBMS. In this paper we propose three models for secure data exchange in eHealth P2PDBMSs and the corresponding security protocols. The proposed protocol allows the peers to compute their secret session keys dynamically during data exchange based on the policies between them. Our proposed protocol is robust against the man-in-the middle attack, the masquerade attack, and the replay attack.

关键词： Protocols Cryptography Authentication Medical services Databases Data models

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Prediction of software project effort using fuzzy logic

Prediction of software project effort using fuzzy logic

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International Conference on Electronic computer technology

作者： Mohd. Sadiq Farhana Mariyam Aleem Alil Shadab Khan Pradeep Tripathi Computer Engineering Laboratory Section of Computer Engineering University Polytechnic Faculty of Engineering and Technology Jamia Millia Islamia (A Central University) New Delhi India Department of Computer Science and Engineering AL-Falah School of Engineering and Technology Maharshi Dayanand University Rohtak Haryana India Department of Computer Science and Information Technology Sunder Deep College of Engineering and Technology U.P. Technical University Lucknow U.P. India

Software development effort estimation is a branch of forecasting that has received increased interest in academia as well as in the field of research and development. Predicting software effort with any acceptable degree remains challenging. In this paper we have developed 2 different linear regression models using fuzzy function point (FFP) and non fuzzy function point in order to predict the software project effort and further we have also considered that the entire projects are organic in nature i.e. the project size lies between 2 to 50 KLOC. After obtaining the software effort, project manager can control the cost and ensures the quality more accurately.

关键词： Software Estimation Biological system modeling Complexity theory Programming Mathematical model Computational modeling

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