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检索条件"机构=Computer Architecture and Technology"

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Gerber File Parsing and the Implementation Method of its Conversion to Bitmap Image

Gerber File Parsing and the Implementation Method of its Con...

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2021 International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation technology, MEMAT 2021

作者： Fan, Yong Wu, Shuqin Wu, Xie Yang, Jianbo School of Mechanical and Electrical Engineering Guilin University of Electronic Technology Guilin Guangxi China School of Architecture and Transportation Engineering Guilin University of Electronic Technology Guilin Guangxi China School of Computer Science and Information Security Guilin University of Electronic Technology Guilin Guangxi China

In order to obtain the standard image based on the Gerber file in the AOI (Automatic Optical Inspection), an implementation method is proposed by analysing and converting the Gerber file into a bitmap image. According to the command format rules of Gerber file, the approach is designed to analyse Gerber files by constructing the command regular expression of Gerber files. In order to achieve convenient access to the drawing data, the drawing data processing is performed by defining a class, then the drawing data is stored in a dynamic array and the adjustment factors are added in the drawing data at the same time to meet the further post-processing needs of bitmap image. This method can quickly analyse Gerber files, adjust drawing data and generate bitmap images. © Published under licence by IOP Publishing Ltd.

关键词： Data handling

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Run Time Memory Error Recovery Process in Networking System 7

Run Time Memory Error Recovery Process in Networking System

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7th International Conference on System Reliability and Safety, ICSRS 2023

作者： Vitucci, Carlo Sundmark, Daniel Danielsson, Jakob Jägemar, Marcus Larsson, Alf Nolte, Thomas Technology Management Ericsson Ab Stockholm Sweden Computer Science and Software Enigineering Mälardalen University Västerås Sweden Sys Architecture Ericsson Ab Stockholm Sweden Sys Compute Dimensioning Ericsson Ab Stockholm Sweden Senior Specialist Observability Ericsson Ab Stockholm Sweden Mälardalen University Division of Networked and Embedded System Västerås Sweden

ISBN: (纸本)9798350306057

System memory errors have always been problematic;today, they cause more than forty percent of confirmed hardware errors in repair centers for both data centers and telecommunications network nodes. Therefore, it is somewhat expected that, in recent years, device manufacturers improved the hardware features to support hardware-assisted fault management implementation. For example, the new standard, DDR5, includes both data redundancy, the so-called Error Correcting Code (ECC), and physical redundancy, the post-package repair (PPR), as mandatory features. Production and repair centers mainly use physical redundancy to replace faulty memory rows. In contrast, field use still needs to be improved, mainly due to a need for integrated system solutions for network nodes. This paper aims to compensate for this shortcoming and presents a system solution for handling memory errors. It is a multi-technology proposition (mixed use of ECC and PPR) based on multi-layer (hardware, firmware, and software) error information exchange. © 2023 IEEE.

关键词： Redundancy

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Edge Computing in Smart Cities: Enhancing Real-Time Data Processing 2

Edge Computing in Smart Cities: Enhancing Real-Time Data Pro...

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2nd International Conference on Advances in Computation, Communication and Information technology, ICAICCIT 2024

作者： Rajakumari, S. Natarajan, C. Alone, Vinod N. Senthilkumar, P. Gayathri, R. John, Godwin J. Department of Mathematics R.M.D. Engineering College Chennai India Department of CSE P. S. R Engineering College Tamilnadu Sivakasi India Computer Engineering Department VPPCOE &VA Sion Maharashtra Mumbai India School of Architecture Koneru Lakshmaiah Education Foundation Vaddeswaram AP Guntur India Department of ECE Rajalakshmi Engineering College Tamilnadu Chennai India Department of Mechanical Engineering Rajalakshmi Institute of Technology Tamil Nadu India

ISBN: (纸本)9798331541217

One of the most crucial issues that smart cities have to keep addressing as they grow is urban mobility improvement. Maximizing the efficiency of transportation, so lowering congestion, and so optimizing traffic flow can help to solve the growing urbanization and increasing vehicle numbers. This research aims to develop and implement a deep learning method based on DenseNet in order to reach the target of raising the effectiveness of urban traffic management. The unique selling proposition that distinguishes this sector from others is the introduction of modern technologies into a sector that has always depended on conventional methods. The main goal of the work was to apply DenseNet architecture to analyze traffic patterns. Considering the two other strategies, the proposed option has a lot of possibilities. From evaluation criteria-which comprised recall, precision, and F1-score, the proposed solution outperformed the approaches regarded to be state-of- the-art. © 2024 IEEE.

关键词： Deep Learning DenseNet Smart Cities Traffic Management

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Event Graphs: Syntax, Semantics, and Implementation

Event Graphs: Syntax, Semantics, and Implementation

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2023 Winter Simulation Conference, WSC 2023

作者： Gunal, Murat M. Ismail Osais, Yahya Wagner, Gerd Fenerbahce University Faculty of Engineering and Architecture Atatürk Mah. Ataşehir Bulvari Istanbul Ataşehir34758 Turkey Center for Intelligent Secure Systems King Fahd University of Petroleum and Minerals Computer Engineering Department P.O. Box 2244 Dhahran31261 Saudi Arabia Brandenburg University of Technology Konrad-Wachsmann-Allee 5 Cottbus03046 Germany

ISBN: (纸本)9798350369663

This tutorial aims to introduce Event Graphs (EGs), invented 40 years ago by Lee Schruben to allow eventbased modeling of discrete dynamic systems. Their simplicity and naturalness in causality modelling and simulation modelling made EGs popular in research and practice. In a simulation, an event causes state changes in a system as well as other events to happen in the future. EGs provide a parsimonious diagram representation for the Event Scheduling paradigm of Discrete Event Simulation. We first introduce their visual syntax and informal semantics, and then present a recent extension by adding objects to EGs. Our tutorial also includes an introduction to the formal semantics of EGs and a Python implementation for executing EGs. © 2023 IEEE.

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Machine Learning based Cybersecurity Technique for Detection of Upcoming Cyber Attacks

Machine Learning based Cybersecurity Technique for Detection...

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International Conference on Communication and Electronics Systems (ICCES)

作者： Kanchi Lohitha Lakshmi S.Shobana Bathula Prasanna Kumar K.B.Glory Bonda Kiran Kumar Sandya Rani Department of Computer Science and Engineering Vasireddy Venkatadri Institute Of Technology Guntur Department of IT R.M.K Engineering College Department of Computer Science and Engineering KKR & KSR Institute of Technology and Sciences Guntur AP Department of Engineering English Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh State India Department of Architecture KL School of Architecture KL Deemed to be University Vaddeswaram Dept. of IT St. Martin's Engineering College Secunderabad Telangana India

Cyberattacks are prevalent in the age of the Internet. Each year, both the quantity and severity of cybercrimes increase. Protection against cyber-attacks has become a primary responsibility, Significant in the internet society of today. However, providing cyber security is a highly difficult task that requires experience in the field of attacks and the ability to evaluate the possibility of threats. The continual evolution of cyberattacks is the biggest challenge in this industry. This article describes the significance of cyber security and enumerates the hazards that exist in the present digital environment. The statistics and evaluation of cyberattacks demonstrate the seriousness of these occurrences. Several sorts of cyber security threats are outlined, along with the machine learning approaches that may be used to detect these attacks.

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Modified ARQ-based cooperative relaying scheme for a delay tolerant network

Modified ARQ-based cooperative relaying scheme for a delay t...

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2021 IEEE International Conference on Electrical, computer, Communications and Mechatronics Engineering, ICECCME 2021

作者： Otaru, Musa Adinoyi, Abdulkareem Ajiya, Mohammed Aljlayl, Mohammed Yanikomeroglu, Halim Bayero University Kano Department of Electrical Engineering Nigeria Technology Strategy Architecture Saudi Telecommunications Company Saudi Arabia Carleton University Dept. of Systems and Computer Engineering Ottawa Canada

ISBN: (纸本)9781665412629

We use fixed relays deployed by network operators to reduce re-transmission (thereby reducing network power requirements) in addition to providing excellent end-to-end error performance in a revisit to automatic repeat request-based cooperative relaying. The new relaying scheme facilitates the creation of a connectivity suitable for delay tolerant internet-of-things (IoT)-type services. For IoT devices, link reliability and power efficiency are a major system design consideration. The proposed scheme operates in the following fashion. The source (e.g., a sensor) transmits for a certain time window. During this period, the source and the relays do not require per transmission acknowledgment (ACK) from the destination. At the end of a transmission window, the destination sends a 'group' ACK. If negative, relays are invited to help. Depending on the cooperation strategy, each relay transmits in either one transmission time slot or a few time slots, using a suitably chosen higher-order modulation constellation. If no error occurs, the source continues its transmission. Furthermore, we devise a novel strategy for selecting the best relay for this new way of exploiting the benefits of multiple relays in a network. In the process, we reclaim the bandwidth expansion that comes with multi-relay system but still maintaining E2E bit error rate that is superior to that of a single relay cooperation. Numerical results that reveal the benefits of the new and modified ARQ cooperative relaying scheme are presented. © 2021 IEEE.

关键词： Energy efficiency

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Keyword extraction based on semantic similarity metric and multi-feature computing 7

Keyword extraction based on semantic similarity metric and m...

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7th International Conference on Big Data Computing and Communications, BigCom 2021

作者： Kang, Hui Sun, Xin Feng, Tie Lin, Shuhang Jilin University College of Computer Science and Technology Changchun China Jilin University College of Software Changchun China Beijing ByteDance Technology Co. Ltd. Department of Product R&D and Engineering Architecture Beijing China

ISBN: (纸本)9781665442527

Keyword extraction is an effective method to extract keywords from a text which can express the main content of the text. However, it is difficult to extract useful information quickly from a large number of documents. In this paper, a semantic similarity metric and multi-feature computing based keyword extraction algorithm is presented. First, a semantic similarity algorithm based on WordNet semantic dictionary toward distance, information and property (SSDIPA) is proposed, which quantifies the degree of association between words. Then, a multi-feature tuple (word frequency, word length, word span, word position, semantic similarity) based computing method is presentssd to score the candidate keywords. Finally, the feature decision tree is used to adjust the proportional relationship among the features so that the keyword extraction results can meet the use's subjective preferences. The result shows that the proposed algorithm outperforms other comparison algorithms, and the multi-feature computing based keywords extraction algorithm can improve the accuracy. © 2021 IEEE.

关键词： Decision trees

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Investigating Different Approaches on Online Laboratory Practices

Investigating Different Approaches on Online Laboratory Prac...

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IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)

作者： Inmaculada Tomeo-Reyes Zhuoyu Chen Chamith Wijenayake Arash Khatamianfar School of Electrical Engineering and Telecommunications Faculty of Engineering University of New South Wales Sydney Australia School of Electrical Engineering and Computer Science Faculty of Engineering Architecture and Information Technology University of Queensland Brisbane Australia

Laboratories are an integral part of Engineering education. In this post-pandemic era, there is an increased emphasis on distance learning and hybrid approaches, which demands novel teaching and learning approaches to maintain the hands-on aspects of laboratory work. In this paper, different approaches for online laboratories are explored by encapsulating recent literature as well as the authors’ own experience in Electrical Engineering courses. Specific surveys are used to capture both student and staff perspectives and feedback on online learning approaches for laboratory classes. Recommendations are made based on student and staff experience with these approaches.

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Using Convolutional Neural Networks for Muon detection in WCD tank 4

Using Convolutional Neural Networks for Muon detection in WC...

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4th International Conference on Applied Physics, Simulation and Computing, APSAC 2020

作者： González, B.S. Conceio, R. Tomé, B. Pimenta, M. Herrera, L.J. Guillen, A. Computer Architecture and Technology Department University of Granada Granada Spain LIP/IST Lisbon Portugal

The aim of this paper is to study the possibility of improving the gamma/hadron discrimination in extensive air showers. For this purpose, the identification of hadronic extensive air showers is carried out by means of the detection of muons in water Cherenkov detectors (WCDs). Machine learning algorithms have proven to be useful in a wide variety of fields, and due to their outstanding performance in problems involving complex data, Convolutional Neural Networks (CNNs) have been used in the analysis of the signals measured by the WCDs. Taking simulated events, different approaches were proposed attending to the balance of the classes in the training stage. The results obtained are promising and show that machine learning algorithms provide a powerful tool for muon detection and gamma/hadron discrimination to be considered in future gamma-rays detectors like The Southern Wide-field Gamma-ray Observatory (SWGO) to be built in South America. © Published under licence by IOP Publishing Ltd.

关键词： Cosmology

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Disentanglement of Human Facial Features and the Inspection of Feature Extractor's Quality Based on TL-GAN

Disentanglement of Human Facial Features and the Inspection ...

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2021 International Conference on Applied Mathematics, Modelling and Intelligent Computing, CAMMIC 2021

作者： Gao, Yutong He, Shiwei Wang, Guanghan Xu, Peiyu Information and Computer Science Beijing University of Civil Engineering and Architecture Beijing102612 China Safety Engineering China University of Mining and Technology-Beijing Beijing100089 China Computer Science and Technology Tsinghua University Beijing100084 China Telecommunications Engineering and Management Beijing University of Posts and Telecommunications Hebei065000 China

Recent research on the Generated Adversarial Network models has made great progress in the task of generating images on human demand. Among them, Transparent Latent-space GAN tries to solve the problem by analyzing the latent space and finding the feature axes inside it. This model views the problem from a novel perspective, and it is easy to be carried out. However, more thorough and detailed experiments have shown that the original method on axes disentanglement of the model has certain drawbacks, which may lead to ethical problems, meaning that the model may pick up some pre-existing prejudice of racial or gender discrimination. This paper puts forward a new training mode aiming at reducing the bias existing in the generated images and simultaneously managing the disentanglement. Also, a more thorough examination of the model was conducted and it is found that the architecture of the model may be generalized to some universal functions. Among them, the quality evaluation of the feature extractor is the most practical and useful one. This finding, in turn, may be helpful for distinguishing a more accurate, effective, and robust feature extractor, thus improving the performance of the TL-GAN model in the first place. © Published under licence by IOP Publishing Ltd.

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