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2015 International Conference on Advanced Educational Technology and Information engineering(AETIE 2015)

作者： T.Qi G.X.Tong School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghaikey Laboratory of Modern Optical Systems

Aimed at these problems of high school course, analysis the advantages and disadvantages of the current personalized courses recommendation algorithms and the main problems, the hybrid model personalized recommendation method based on content and user collaborative filtering had been put forward. The experimental result shows that, combined with the relevant recommendation technology, the recommendation result of the hybrid model recommendation algorithm is more accurate and efficient, which provides reasonable courses for students and reduce the blindness in selecting.

关键词： personalized recommendation hybrid model similarity user clustering

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On modifying the weights in a modular recurrent connectionist system

On modifying the weights in a modular recurrent connectionis...

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International Joint Conference on Neural Networks (IJCNN)

作者： H. Elsherif M. Hambaba Intelligent Systems Laboratory Electrical Engineering & Computer Science Department Stevens Institute of Technology Hoboken NJ USA

A modular recurrent connectionist architecture is proposed to classify binary and continuous patterns. This system consists of three networks: one feedforward backpropagation (BP) network and two self-organization map (SOM) networks. The feedforward (basic) network is trained until a saturation error level occurs. Simultaneously, the first SOM (input control) network and the last SOM (output control) define the mapping features for the given input/output patterns. The resultant features are used by a Gaussian potential function to adjust the weights of the basic network and to classify the given patterns.< >

关键词： Feedforward systems Intelligent systems Laboratories computer science computer architecture Simultaneous localization and mapping Neurons Psychology Hardware Performance evaluation

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Towards Autonomic Virtual Applications in the In-VIGO System

Towards Autonomic Virtual Applications in the In-VIGO System

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International Conference on Autonomic Computing (ICAC)

作者： Jing Xu S. Adabala J.A.B. Fortes Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering University of Florida Gainesville FL USA

Grid environments enable users to share nondedicated resources that lack performance guarantees. This paper describes the design of application-centric middleware components to automatically recover from failures and dynamically adapt to grid environments with changing resource availabilities, improving fault-tolerance and performance. The key components of the application-centric approach are a global per-application execution history and an autonomic component that tracks the performance of a job on a grid resource against predictions based on the application execution history, to guide rescheduling decisions. Performance models of unmodified applications built using their execution history are used to predict failure as well as poor performance. A prototype of the proposed approach, an autonomic virtual application manager (AVAM), has been implemented in the context of the In-VIGO grid environment and its effectiveness has been evaluated for applications that generate CPU-intensive jobs with relatively short execution times (ranging from tens of seconds to less than an hour) on resources with highly variable loads - a workload generated by typical educational usage scenarios of In-VIGO-like grid environments. A memory-based learning algorithm is used to build the performance models for CPU-intensive applications that are used to predict the need for rescheduling. Results show that In-VIGO jobs managed by the AVAM consistently meet their execution deadlines under varying load conditions and gracefully recover from unexpected failures

关键词： Grid computing History Mesh generation Application software Fault tolerance Predictive models Quality of service Information systems Middleware Availability

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Real-time print localization on pharmaceutical capsules for automatic visual inspection

Real-time print localization on pharmaceutical capsules for ...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Žiga Špiclin Boštjan Likar Franjo Permiš Faculty of Electrical Engineering Laboratory of Imaging Technologies Ljubljana Slovenia Sensum Computer Vision Systems Ljubljana Slovenia

The goal of this work was to enable real-time visual inspection of printed pharmaceutical capsules, as the information printed on the capsules is crucial for unambiguous identification of active substances and dosages contained in the capsule. We propose a template matching technique to localize and detect print on capsules. For this purpose, large image distortions related to capsule shape were first eliminated by estimating the principal axes of the capsule and transforming the capsule image to cylindrical coordinates. Then, a fast and efficient implementation of normalized cross correlation was used to localize the printed image or text for which the template was selected a priori. A dedicated database of printed capsules was used to assess and confirm the feasibility of the proposed method in terms of accuracy (

关键词： Pharmaceuticals Inspection Shape Image analysis Sorting Image color analysis Real time systems Image databases Pixel Sampling methods

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A High-Frequency Transformer Design with Leakage Integration for Auxiliary power Supply in Railway Application

A High-Frequency Transformer Design with Leakage Integration...

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International Conference on power Electronics (ICPE)

作者： Zheqing Li Feng Jin Chunyang Zhao Eric Hsieh Qiang Li Bradley Department of Electrical and Computer Engineering Center for Power Electronic Systems Virginia Polytechnic and State University Blacksburg VA USA

DC-DC converters are a critical component for the auxiliary power supplies in railway applications to regulate wide range input voltage. With the power consumption increasing, the momentum toward high-power high-density continues unbated. The key to shrink the converter size is high-frequency operation. The bottleneck is the magnetic component, especially for the high-power converters. With wide-band gap (WBG) devices, frequency can be hundreds of kilohertz level, which can reduce the transformer volume significantly. By adopting the shorting control for gain boost, only a small resonant inductance is required to handle the wide input voltage. The low inductance provides the opportunity to integrate the resonant inductor into the transformer to further reduce the size of magnetic components. In this paper, a novel transformer is proposed with the integration of additional leakage inductor for resonance with evenly distributed core loss, and no sacrifice the winding loss and. A 30-kW 100-kHz prototype with 2.4 kW/L power density is built to verify the feasibility of the proposed transformer, whose peak efficiency reaches 99.2%.

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High frequency bus converter with integrated matrix transformers for CPU and telecommunications applications

High frequency bus converter with integrated matrix transfor...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： David Reusch Fred C. Lee Department of Electrical and Computer Engineering Center for Power Electronics Systems Virginia Polytechnic Institute and State University Blacksburg VA USA

The trend in intermediate bus architectures is increasing output power demands and higher operating frequencies. Improved topologies and semiconductors can allow for lower loss at higher frequencies. A major barrier to further improvement is the transformer design. With high current levels and high frequency effects the transformers can become the major loss component in the circuit. High values of transformer leakage inductance can also greatly degrade the performance of the converter. Matrix transformers offer the ability to reduce winding loss and leakage inductance. This paper will study the use of matrix transformers for a 600-W, 12-V/50A bus converter and identify the optimal number of matrix transformers. This paper will also propose an improved integrated matrix transformer design that can decrease core loss and further improve the performance of matrix transformers.

关键词： Inductance Windings Resistance Matrix converters Transformer cores Core loss

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Masked Generative Story Transformer with Character Guidance and Caption Augmentation

arXiv

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arXiv 2024年

作者： Papadimitriou, Christos Filandrianos, Giorgos Lymperaiou, Maria Stamou, Giorgos Artificial Intelligence and Learning Systems Laboratory School of Electrical and Computer Engineering National Technical University of Athens Greece

Story Visualization (SV) is a challenging generative vision task, that requires both visual quality and consistency between different frames in generated image sequences. Previous approaches either employ some kind of memory mechanism to maintain context throughout an auto-regressive generation of the image sequence, or model the generation of the characters and their background separately, to improve the rendering of characters. On the contrary, we embrace a completely parallel transformer-based approach, exclusively relying on Cross-Attention with past and future captions to achieve consistency. Additionally, we propose a Character Guidance technique to focus on the generation of characters in an implicit manner, by forming a combination of text-conditional and character-conditional logits in the logit space. We also employ a caption-augmentation technique, carried out by a Large Language Model (LLM), to enhance the robustness of our approach. The combination of these methods culminates into state-of-the-art (SOTA) results over various metrics in the most prominent SV benchmark (Pororo-SV), attained with constraint resources while achieving superior computational complexity compared to previous arts. The validity of our quantitative results is supported by a human survey1 © 2024, CC BY.

关键词： Visualization

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A modular neural network architecture for pattern classification

A modular neural network architecture for pattern classifica...

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IEEE Workshop on Neural Networks for Signal Processing

作者： H. Elsherif M. Hambaba Intelligent Systems Laboratory Electrical Engineering & Computer Science Department Stevens Institute of Technology Hoboken NJ USA

A modular neural network architecture is proposed to classify binary and continuous patterns. This system consists of a supervised feedforward backpropagation network and an unsupervised self-organization map network. The supervised feedforward (basic) network is trained until a saturation error level occurs. Simultaneously, the unsupervised self-organization map (control) network fluids the mapping features for the given input/output patterns. The resultant features are used by Gaussian and linear functions to adjust the hidden and the output weights of the basic network and to classify the given patterns.< >

关键词： Neural networks Pattern classification Biological neural networks Feedforward systems computer architecture Feedforward neural networks Artificial neural networks Speech recognition Jacobian matrices Intelligent systems

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User-Level Virtual Network Support for Sky Computing

User-Level Virtual Network Support for Sky Computing

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IEEE International Conference on e-Science and Grid Computing

作者： Maurício Tsugawa Andréa Matsunaga José Fortes Advanced Computing and Information Systems Laboratory Department of Electrical and Computer Engineering University of Florida Gainesville FL USA

With the emergence of multiple cloud providers of Infrastructure-as-a-Service, it becomes possible to envision a near-future when high-performance computing users could combine services from different clouds to access huge numbers of resources. However, as more administrative privileges are exposed to end users, providers are required to deploy network security measures that present challenges to the network virtualization technologies that are needed to enable inter-cloud communication. This paper studies these challenges and proposes techniques to enable unmodified applications on resources across distinct clouds. The techniques are implemented in TinyViNe, an extension to ViNe, a virtual networking technology for distributed resources in different administrative domains. The results of evaluating TinyViNe on a WAN-based testbed across three sites are reported for a bioinformatics application (BLAST) and MPI benchmarks. The results confirm that TinyViNe enables cross-cloud computing while having little impact on application performance. TinyViNe also has auto-configuration and ¿download-and-run¿ capabilities for easy deployment by users who are not knowledgeable about networking.

关键词： computer networks Cloud computing Voice mail Bioinformatics Virtual manufacturing Isolation technology Protection Information systems Laboratories USA Councils

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A 1V, 1mW, 4GHz Injection-Locked Oscillator for High-Performance Clocking

A 1V, 1mW, 4GHz Injection-Locked Oscillator for High-Perform...

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Custom Integrated Circuits Conference (CICC)

作者： Lin Zhang Berkehan Ciftcioglu Hui Wu Laboratory for Advanced Integrated Circuits and Systems Department of Electrical and Computer Engineering University of Rochester Rochester NY USA

Injection-locked clocking (ILC) has been proposed previously to improve the skew and jitter performance while reducing the power consumption in multi-gigahertz clock distribution networks. This paper presents a new design of the injection-locked oscillator (ILO) suitable for ILC applications. It uses a transformer to generate differential signals and then directly inject them into the ILO core. It also incorporates a switched-capacitor array for frequency tuning and hence digital deskew in ILC. A 4 GHz test chip was designed and fabricated in a 0.18 mum standard digital CMOS. It consists of four ILOs driven by a balanced H-tree. Each ILO consumes less than 1 mW from a 1 V power supply. 5-bit digital deskew achieves 55 ps delay tuning range and 1.8 ps resolution. Measurement shows that only 30 fs cycle-to-cycle jitter degradation was introduced and no phase noise degradation at frequency offset up to 600 kHz.

关键词： Injection-locked oscillators Clocks Jitter Frequency Tuning Degradation Energy consumption Signal generators Transformer cores Testing

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