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Academia-academia-industry collaborations on software engineering projects using local-remote teams 09

Academia-academia-industry collaborations on software engine...

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40th ACM Technical Symposium on computer Science Education, SIGCSE 2009

作者： Rusu, Adrian Rusu, Amalia Docimo, Rebecca Santiago, Confesor Paglione, Mike Rowan University Department of Computer Science Glassboro NJ 08028 United States Fairfield University Department of Software Engineering Fairfield CT 06824 United States Federal Aviation Administration William J. Hughes Technical Center Atlantic City NJ 08405 United States

ISBN: (纸本)9781605585048

It is widely recommended by both academia and industry that today's technology and software engineering students be well prepared for industry before graduation, especially given global outsourcing and other trends. Various methods have been developed to ensure student readiness, including co-ops and capstone courses. These approaches increasingly use real-world projects for their benefits to industry and often to the community at large. In this paper, we argue that students can be prepared to effectively join industry and keep the US technology workforce competitive through a curriculum that includes a theoretical software engineering course with real-world projects and the collaboration of paired teams across two or more universities. We present a case study of a successful teaching experience that features these aspects, and describe the outcome along with the unique perspective of a participating student. © 2009 ACM.

关键词： Students

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Design and fabrication of on-chip square spiral antenna for ISM band

Design and fabrication of on-chip square spiral antenna for ...

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International Conference on Instrumentation, Communications, Information Technology, and Biomedical engineering (ICICI-BME)

作者： M. Ramezani H. Miladi M. Shahabadi S. Mohajerzadeh A. H. Tamaddon Nano-Electronic Center of Excellence Nanoelectronic Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran Photonics Research Laboratory Department of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424449996

A spiral antenna operating at 24 GHz designed for scientific and medical (ISM) band is reported. The procedure is fully compatible with standard CMOS fabrication process. The fabrication has been achieved on silicon substrates using a bulk micromachining technique. To improve the radiation efficiency and to minimize transmission loss, a silicon-based membrane has been employed on silicon substrates. To optimize the occupied area of the antenna a square spiral structure is selected rather than the circular one. The simulation results show a good matching and wide bandwidth operation of the spiral antenna.

关键词： Fabrication Spirals Silicon Bandwidth Dielectric substrates Dipole antennas Slot antennas Micromachining Feeds Permittivity

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Coping with training contamination in unsupervised distributional anomaly detection

Coping with training contamination in unsupervised distribut...

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Annual Conference on Information Sciences and Systems (CISS)

作者： Nash Borges Gerard G. L. Meyer Human Language Technology Center of Excellence Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA

In previous work, we presented several distributional approaches to anomaly detection for a speech activity detector by training a model on purely nominal data and estimating the divergence between it and other input. Here, we reformulate the problem in an unsupervised framework and allow for anomalous contamination of the training data. After noting the instability of Gaussian mixture models (GMMs) in this context, we focus on non-parametric methods using regularly binned histograms. While the performance of the log likelihood baseline suffered as the amount of contamination was increased, many of the distributional approaches were not affected. We found that the L 1 distance, chi 2 statistic, and information theory divergences consistently outperformed the other methods for a variety of contamination levels and test segment lengths.

关键词： Contamination Speech Detectors Training data Context modeling Histograms Statistical analysis Statistical distributions Information theory Testing

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Speeding up top-down attention control learning by using full observation knowledge

Speeding up top-down attention control learning by using ful...

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IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA)

作者： N. Noori M. Nili Ahmadabadi M. S. Mirian B. N. Araabi AI Lab Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424448081

We present a general mathematical description of the top-down attention control problem. Three important components are identified in the model: context extraction, attention focus and decision making. The context gives a coarse blurry representation of the whole input; the attention module models the focus of attention on a limited part of input, and the decision making component accounts the final decision of the agent for its motory actions. In order to achieve a faster convergence of attention learning in the online phase, an offline optimization step is performed in advance. To do so, we incorporate the knowledge of a full observer agent that has approximately learned the optimal decision making of the task. The simulation results show that by employing our algorithm, the learning speed is improved.

关键词： Context modeling Decision making Layout Focusing Convergence Information filtering Information filters Robot sensing systems Bayesian methods Humans

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Fuzzy controller for cooperative object pushing with variable line contact

Fuzzy controller for cooperative object pushing with variabl...

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International Conference on Mechatronics (ICM)

作者： Mahsa Aliakbar Golkar Sarah Taghavi Namin Hossein Aminaiee Control and Intelligent Processing Center of Excellence Robotics and AI Laboratory Department of Electrical and Computer Engineering University of Tehran Iran

Designing an appropriate cooperation protocol in multi-robot systems such as multi-robot object manipulation systems is a challenging task. In this paper designing and implementing a cooperation protocol between two robots pushing an object toward an arbitrary goal configuration is investigated. The proposed method benefits from task decoupling which simplifies the cooperation protocol design. Each robot gets its proper action from a particular fuzzy inference system independently. The fuzzy controllers outputs are low-level robot commands by which the need to a robot path planning algorithm is eliminated. Simulation results show that robots could push the object to the goal configuration cooperatively. Experiments have been conducted to approve the proposed system.

关键词： Fuzzy control Robot kinematics Protocols Fuzzy systems Electric variables control Control systems Multirobot systems Path planning Inference algorithms Mobile robots

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On Computing the Inverse of a Rational Matrix

On Computing the Inverse of a Rational Matrix

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Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference

作者： L.H.Keel S.P.Bhattacharyya Center of Excellence in Information Systems Tennessee State University Department of Electrical and Computer Engineering Texas A&M University

In this paper, we develop a method for computing the inverse of a rational or polynomial matrix via Wolovich's Structure Theorem. By using Leverrier's algorithm with the above result, the inverse can be obtain... 详细信息

关键词： On Computing the Inverse of a Rational Matrix

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COMRA: An efficient low-energy core mapping and routing path allocation algorithm for heterogeneous NoCs

COMRA: An efficient low-energy core mapping and routing path...

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International Design and Test Workshop

作者： Mohsen Saneei Mohammad Reza Kakoee Ali Afzali-Kusha Department of Electrical Engineering University of Shahid Bahonar Kerman Kerman Iran Nanoelectronics Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424457489

In this paper, we present an efficient technique for mapping a set of IP-cores onto tiles of a network-on-chip (NoC). Our constraints are power dissipation, communication bandwidth, and routing resources. To evaluate the proposed scheme, the technique has been applied to some real applications and random task graphs with different sizes of mesh topologies. The results of the mapping technique are compared with schemes based on the genetic algorithm, EPAM technique, and random mapping. The comparison shows that the extra communication power consumptions compared to an ideal mapping are up to 20% and 86% less compared to those of the genetic algorithm and random mapping for real applications. The extra power consumptions are about the same when compared to those of the EPAM scheme. In general, the runtime of the proposed algorithm is considerably lower than those of GA and EPAM techniques for large NoCs, making the technique an efficient mapping scheme.

关键词： Routing Network-on-a-chip Bandwidth Energy consumption Genetic algorithms Nanoelectronics Power engineering and energy Tiles Power system modeling Traffic control

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Cognitive Computing and machinable thought

Cognitive Computing and machinable thought

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IEEE International Conference on Cognitive Informatics

作者： Yingxu Wang International Center of Cognitive Informatics (ICteI) Theoretical and Empirical Software Engineering Research Centre (TESERC) Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary Calgary AB Canada

Cognitive computing (CC) is an emerging paradigm of intelligent computing methodologies and systems that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain [1, 3, 4, 5, 6, 12, 13, 15, 16, 18, 20, 22, 23]. CC is emerged and developed based on the transdisciplinary research in cognitive informatics and abstract intelligence. Cognitive informatics (CI) is a transdisciplinary enquiry of computer science, information science, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications [1, 3, 6, 12, 13, 20, 22]. The theoretical framework of cognitive informatics [6] covers the Information-Matter-Energy (IME) model [5], the Layered Reference Model of the Brain (LRMB) [19], the Object-Attribute-Relation (OAR) model of information representation in the brain [7], the cognitive informatics model of the brain [17], Natural Intelligence (NI) [6], and neuroinformatics [6]. Recent studies on LRMB in cognitive informatics reveal an entire set of cognitive functions of the brain and their cognitive process models, which explain the functional mechanisms and cognitive processes of the natural intelligence with 43 cognitive processes at seven layers known as the sensation, memory, perception, action, meta-cognitive, meta-inference, and higher cognitive layers from the bottom up [19].

关键词： Competitive intelligence Cognitive informatics Brain modeling Computational intelligence computer science Information science Cognitive science Information processing Application software Information representation

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Protecting location privacy through Identity Diffusion

Protecting location privacy through Identity Diffusion

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International Conference on Ultra Modern Telecommunications and Workshops (ICUMT)

作者： Lingyan Wang Shaoen Wu Computer Science and Software Engineering Department Shelby Center for Engineering Technology Aubum University AL USA School of Computing University of Southern Mississippi Hattiesburg MS USA

With the proliferation of new online services and wireless personal devices, location-based services and applications for mobile users are widespread in use today. But the privacy of these users exposes to others increasingly in accessing those location based services. Exposure of the location information may result in privacy threat by malicious servers and hackers. In this paper, we propose a new framework that mobile users can enjoy conveniently the services provided by location-based server (LBS), and also protect their location information. This framework prevents mobile users' location information from exposing in two ways: providing the server with fake identities; two different ways of diffusing a number of fake queries with the real query hidden when and where it was issued.

关键词： Protection Privacy

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Simultaneously, speed and flux control of a induction motor, with brain emotional learning based intelligent controller (BELBIC)

Simultaneously, speed and flux control of a induction motor,...

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IEEE International Conference on Electric Machines and Drives (IEMDC)

作者： E. Daryabeigi Gh. Arab markadeh C. Lucas Electrical Engineering Department Islamic Azad University Isfahan Iran Faculty of engineering Department Shahrekord University Shahrekord Iran Iranian Control & Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

In this paper, a modern intelligent control based on computational model of mammalian limbic system and emotional processes (BELBIC) is presented for speed and flux control of induction motor simultaneously. In this work, a novel and simple model of induction motor drives control plant is achieved by using the intelligent control system, which controls motor speed and flux accurately, without needing to using any conventional controllers and also, quite independent of motor parameters. This generation of intelligent controllers that has high auto learning speed with simple structure shows excellent praxis for industrial scale utilization truly.

关键词： Induction motors Intelligent control Computational intelligence Computational modeling Induction motor drives Control system synthesis Induction generators Intelligent structures Electrical equipment industry Industrial control

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