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A dispatching technique to solve the overloading conditions of Web cache servers

WSEAS Transactions on Communications 2006年第5期5卷 725-731页

作者： Wong, K.Y. Yeung, K.H. Computer Studies Program Macao Polytechnic Institute Av. de Luis Gonzaga Gomes Macao China Department of Electronic Engineering City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong

This paper presents a technique to solve the overloading conditions of HTTP proxy servers. It is achieved by eliminating the unnecessary requests reaching the proxy servers. These unnecessary requests are the miss requests which cause the proxy to store copies of requested objects, but the copies will not be accessed again. To identify this kind of requests, we construct a list, called hot-site list, to store the most popularity web sites. For those requests not on the list will be directly forwarded to the remote Web sites without passing through the proxies. Our analytical and simulation results show that our proposed technique can reduce the proxy load by 48% and give a 1.75 system throughput gain.

关键词： Congestion control (communication)

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On the Impact of Knowledge Distillation for Model Interpretability

arXiv

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arXiv 2023年

作者： Han, Hyeongrok Kim, Siwon Choi, Hyun-Soo Yoon, Sungroh Department of Electrical and Computer Engineering Seoul National University Seoul Korea Republic of Department of Computer Science and Engineering Seoul National University of Science and Technology Seoul Korea Republic of ZIOVISION Inc. Chuncheon Korea Republic of Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul Korea Republic of

Several recent studies have elucidated why knowledge distillation (KD) improves model performance. However, few have researched the other advantages of KD in addition to its improving model performance. In this study, we have attempted to show that KD enhances the interpretability as well as the accuracy of models. We measured the number of concept detectors identified in network dissection for a quantitative comparison of model interpretability. We attributed the improvement in interpretability to the class-similarity information transferred from the teacher to student models. First, we confirmed the transfer of class-similarity information from the teacher to student model via logit distillation. Then, we analyzed how class-similarity information affects model interpretability in terms of its presence or absence and degree of similarity information. We conducted various quantitative and qualitative experiments and examined the results on different datasets, different KD methods, and according to different measures of interpretability. Our research showed that KD models by large models could be used more reliably in various fields. © 2023, CC BY-NC-SA.

关键词： Distillation

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A unified optimization method for real-time trajectory generation of mobile robots with kinodynamic constraints in dynamic environment

A unified optimization method for real-time trajectory gener...

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IEEE Conference on Robotics, Automation and Mechatronics

作者： Wenhao Luo Jun Peng Weirong Liu Jing Wang Wentao Yu Department of Automation Key Laboratory of System Control And Information Processing Shanghai China School of Information Science and Engineering Hunan Engineering Laboratory for Advanced Controland Intelligent Automation Changsha China Computer Engineering Program Bethune-Cookman University Daytona Beach FL USA

This paper presents an efficient analytic method for a mobile robot to determine a collision-free trajectory with unified optimization. The robot kinodynamic constraints and the geometric constraints due to obstacles are addressed by considering a set of constrained inequalities from parameterized trajectories model. Two optimal performance matrices are employed to assess optimization problems. Particularly, both the constraints and performance functions are incorporated by similar forms in terms of trajectory parameters, which thereby can be considered in a uniform way. A parameter space of adjustable trajectory parameters is constructed to solve the unified optimization problem with constraints and results in more flexible and better optimal performance. The proposed approach is complete and enhances methods of deterministic real-time planning by overcoming typical drawbacks as intermediate configuration, curvature discontinuities, vertical singularities and incomplete optimization. Simulation results verify the validity and superiority of the proposed method.

关键词： Trajectory Robot kinematics Collision avoidance Mobile robots Acceleration Optimization

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Synthetic Batik Pattern Generator Using Wasserstein Generative Adversarial Network with Gradient Penalty

Synthetic Batik Pattern Generator Using Wasserstein Generati...

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International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

作者： Kus Andriadi Yaya Heryadi Lukas Wayan Suparta Ilvico Sonata Computer Science Department Binus Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Cognitive Engineering Research Group (CERG) Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta Indonesia

Batik is an Indonesian world cultural heritage. Batik consists of many kinds of patterns depending on where the batik comes from, Batik-making techniques continue to develop along with technology development. Among the batik making techniques that are widely used are hand-written, stamping, and printing. Batik motifs have been widely used as research material, especially in the field of artificial intelligence. The diverse appearance of batik motifs has attracted many researchers to carry out research on making synthetic batik patterns, one of which uses a Generative Adversarial Network. This paper presents a synthetic batik pattern model based on the Wasserstein Generative Adversarial Network with Gradient Penalty. This model has been proven to create new synthetic batik patterns quite well and almost identical with images provided in the dataset, with the notes if the dataset provided is large.

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Comparative Assessment of Off-shore Wind Converters and Wave Energy Converters in the Philippines

Comparative Assessment of Off-shore Wind Converters and Wave...

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International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)

作者： Laurence Keith P. Alquiza King Harold A. Recto Pocholo James M. Loresco Jesús Villalobos Department of Electronics Computer and Communications Engineering Ateneo de Manila University Quezon City Philippines Department of Electronics Engineering FEU Institute of Technology Manila Philippines International Program in General Engineering Institut Catholique d'Arts et Métiers Toulouse France

ISBN: (数字)9798350381177

ISBN: (纸本)9798350381184

The Republic of the Philippines is confronted with rebuilding its energy landscape, which now depends heavily on imported fossil fuels for a substantial supply. The Department of Energy (DOE) has established lofty objectives to enhance the nation's renewable energy (RE) capability; nevertheless, these objectives are still to be achieved. This research supports DOE's goals by studying other possible renewable energy sources. In particular, the primary aim of this research is to examine the viability of Offshore Wind Converters (OWCs) and Wave Energy Converters (WECs) as viable sustainable energy options for the Philippines. Ocean wave converters (OWCs) provide inherent benefits in terms of dependability and have widespread societal acceptance. Conversely, wave energy converters (WECs) harness the vast energy potential contained within ocean waves. A comparative evaluation was undertaken to analyze the differences between these two potential renewable energy sources. The assessment concludes that OWCs possess a minor advantage over WECs regarding their economic viability and higher societal acceptability. It recommended that the government adopts a diversified energy portfolio, which may include the incorporation of WECs to effectively navigate the changing dynamics of the energy sector, enhance sustainability, and ensure the long-term security of the nation's energy supply.

关键词： Renewable energy sources Wind energy Navigation Ocean waves Security Wave energy conversion Sustainable development

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Cloud-Native Mobile Application Applied for Law and Regulations Harmonization

Cloud-Native Mobile Application Applied for Law and Regulati...

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Intelligent Cybernetics Technology & Applications (ICICyTA), International Conference on

作者： Muhammad Juan Al Qausar Yaya Heryadi Lukas Lukas Wayan Suparta Ilvico Sonata Computer Science Department Binus Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Cognitive Engineering Research Group (CERG) Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta Indonesia

Navigating the complex legal and regulatory landscape requires a sophisticated platform that is not only comprehensive but also user-friendly and enables seamless analysis and document comparison in the legal realm. To address this challenging requirement, this research is dedicated to the user experience (UX) design of state-of the-art cloud-native mobile applications specifically designed for legal and regulatory harmonization. The methodology used is based on design thinking principles and takes advantage of the benefits of cloud computing. These include, but are not limited to, scalability, reliability, and security. The result is a solution that is not only powerful but also cost-effective. The core of this application follows a user-centered design philosophy and involves potential users closely in the design process. A comprehensive evaluation is performed using the System Usability Scale (SUS) methodology to measure the effectiveness and usability of the application. The results of this comprehensive approach are convincing. The application has an impressive 95.5% usage rate, indicating strong user engagement. Furthermore, user satisfaction ratings are particularly high and transformative impact of this application in a complex environment of legal harmonization. Through its innovative design, seamless functionality, and user-centric approach, this application has proven to be not only a technical solution, but also a catalyst for positive change in the legal and regulatory harmonization process.

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An Ensemble Learning Framework for Construction Costs Forecasting

SSRN

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SSRN 2024年

作者： Habib, Omar Abouhamad, Mona Bayoumi, AbdElMoniem Integrated Engineering Design in Construction Projects Program Faculty of Engineering Cairo University Gamaa Street Al-Jizah12613 Egypt Department of Structural Engineering Faculty of Engineering Cairo University Gamaa Street Al-Jizah12613 Egypt Department of Computer Engineering Faculty of Engineering Cairo University Gamaa Street Al-Jizah12613 Egypt

Construction cost forecasting is a crucial problem due to the need to automate the pricing of construction projects to predict expected revenues. However, traditional approaches rely on human experts leading to subjective judgment. This paper introduces a novel ensemble learning decision support framework to automate construction cost estimation using a combination of regression random forests and gradient-boosting regression trees via regression voting to overcome current cost estimation shortcomings for residential and commercial projects. We evaluated our approach on the dataset of San Francisco's building inspection department in the USA. Furthermore, we compared the performance of our approach to the recommended pricing practices of the Association for the Advancement of Cost engineering (AACE), showing that our model significantly outperforms the AACE's practices for tendering and bidding phases, corresponding to the level of detail of our given data. Moreover, we showed that our approach significantly outperformed support vector regression. © 2024, The Authors. All rights reserved.

关键词： Cost engineering

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Observations from Chaotic Analysis of Sleep EEGs

Observations from Chaotic Analysis of Sleep EEGs

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： John A. Kassebaum Brian H. Foresman Thomas M. Talavage Russell C. Eberhart IUPUI as well as the President of Stellar Wind Development LLC Purdue University Calumet Indianapolis IN USA Clinical Medicine and Director of the Sleep Medicine and Circadian Biology Program Indiana University Medical Center Indianapolis IN USA School of Electrical and Computer Engineering and the Weldon School of Biomedical Engineering Purdue University Calumet West Lafayette IN USA Electrical and Computer Engineering and an Adjunct Professor of Biomedical Engineering Purdue School of Engineering and Technology Indianapolis IN USA

Chaotic analysis and modeling methods were applied to a small collection of healthy individuals' sleeping EEGs in order to establish whether a common representational space could be discovered for use in comparative analysis. Common challenges were encountered and dealt with in a practical manner. The methods used and the choices made in this effort are described herein. The authors observe and describe a common representation, obtained from a delay coordinate embedding, that should be usable for comparative analysis leading to clinical utility

关键词： Chaos Sleep Electroencephalography Biomedical engineering Brain modeling Delay Databases Biomedical computing Cities and towns Signal analysis

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Growth and characteristics of GaInN/GaInN multiple quantum well light-emitting diodes

Growth and characteristics of GaInN/GaInN multiple quantum w...

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作者： Lee, Wonseok Kim, Min-Ho Zhu, Di Noemaun, Ahmed N. Kim, Jong Kyu Schubert, E.F. Future Chips Constellation and Engineering Science Program Rensselaer Polytechnic Institute Troy NY 12180 United States Samsung LED Suwon 443-743 Korea Republic of Future Chips Constellation Department of Physics Applied Physics and Astronomy Rensselaer Polytechnic Institute Troy NY 12180 United States Future Chips Constellation Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180 United States Department of Materials Science and Engineering Pohang University of Science and Technology Pohang 790-784 Korea Republic of

We demonstrate GaInN multiple quantum well (MQW) light-emitting diodes (LEDs) having ternary GaInN quantum barriers (QBs) instead of conventional binary GaN QBs for a reduced polarization mismatch between QWs and QBs and an additional separate confinement of carriers to the MQW active region. In comparison with GaInN LEDs with conventional GaN QBs, the GaInN/GaInN LEDs show a reduced blueshift of the peak wavelength with increasing injection current and a reduced forward voltage. In addition, we investigate the density of pits emerging on top of the MQW layer that are correlated with V-defects and act as a path for the reverse leakage current. The GaInN/GaInN MQW structure has a lower pit density than the GaInN/GaN MQW structure as well as a lower reverse leakage current. Finally, the GaInN/GaInN MQW LEDs show higher light output power and external quantum efficiency at high injection currents compared to the conventional GaInN/GaN MQW LEDs. We attribute these results to the reduced polarization mismatch and the reduced lattice mismatch in the GaInN/GaInN MQW active region. © 2010 American Institute of Physics.

关键词： III-V semiconductors

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Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems

arXiv

引用

arXiv 2024年

作者： Lu, Bo-Han Lin, Yi-Hsuan Lee, En-Shiun Annie Tsai, Richard Tzong-Han Department of Computer Science and Information Engineering National Central University Taiwan Department of Computer Science Faculty of Arts and Science University of Toronto Canada Computer Science Program Faculty of Science Ontario Tech University Canada Center for GIS Research Center for Humanities and Social Sciences Academia Sinica Taiwan

Machine translation focuses mainly on high-resource languages (HRLs), while low-resource languages (LRLs) like Taiwanese Hokkien are relatively under-explored. The study aims to address this gap by developing a dual translation model between Taiwanese Hokkien and both Traditional Mandarin Chinese and English. We employ a pre-trained LLaMA 2-7B model specialized in Traditional Mandarin Chinese to leverage the orthographic similarities between Taiwanese Hokkien Han and Traditional Mandarin Chinese. Our comprehensive experiments involve translation tasks across various writing systems of Taiwanese Hokkien as well as between Taiwanese Hokkien and other HRLs. We find that the use of a limited monolingual corpus still further improves the model’s Taiwanese Hokkien capabilities. We then utilize our translation model to standardize all Taiwanese Hokkien writing systems into Hokkien Han, resulting in further performance improvements. Additionally, we introduce an evaluation method incorporating back-translation and GPT-4 to ensure reliable translation quality assessment even for LRLs. The study contributes to narrowing the resource gap for Taiwanese Hokkien and empirically investigates the advantages and limitations of pre-training and fine-tuning based on LLaMA 2. © 2024, CC BY-NC-SA.

关键词： Neural machine translation

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