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检索条件"任意字段=9th International Conference on Computer Aided Design and Computer Graphics"

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Research on computer aided Translation Transfer Based on Intelligent Speech Recognition Technology 9th

Research on Computer Aided Translation Transfer Based on Int...

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9th international conference on Signal and Information Processing, Network and computers, ICSINC 2021

作者： Ma, Xueshuo School of Foreign Languages Jilin Institute of Chemical Technology Jilin Jilin China

ISBN: (纸本)9789811947742

It is not to master mass data information, but to carry out professional processing of these data of means that the strategic significance of big data technology is supposed to see. In the age of big data, a rapid development on machine translation, computer-aided translation, intelligent speech transliteration and recognition technologies have shown. Translation technology has changed from human-based to cloud-shared. Ubiquitous translation technology and the expanding language service market change every time. therefore, it is necessary to fully recognize the relationship between the human and machine, to improve the translation level and efficiency. With the help of big data, a detailed and comprehensive understanding of various cultural backgrounds can be achieved. Moreover, distinctive, and appropriate translation methods and theories for different types of source texts are going to be summed up. this paper studies the subject migration as a new translation method by taking cases from the Big Bang theory as the examples. As a result, suggestions to improve subtitle translation quality of American sitcoms is stated. three different modes of subject migration are also introduced including subject appearance, subject disappearance, and subject transference. computer-aided translation will be the real future of translation and interpreting with the help of the big data technology, though, small mistakes still exist. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Big data

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the design of the simple SMM rootkit 2022

The design of the simple SMM rootkit

引用

9th international conference on Wireless Communication and Sensor Networks, icWCSN 2022

作者： Szaknis, Michal Szczypiorski, Krzysztof Institute of Telecommunications Warsaw University of Technology Poland

ISBN: (纸本)9781450396219

Nowadays, computer threats are becoming more and more sophisticated and dangerous as the time progresses along with the technology. Recently, the antivirus software and protection mechanisms have advanced to a point where attacking the operating systems is becoming so hard that malware creators started to shift towards either the easier ways or paths currently unexplored to a full extend. One of such fields which has been gaining attention for the last several years is firmware security. Researchers started to find various vulnerabilities enabling an attacker to take full control over victim's computer. © 2022 ACM.

关键词： Malware

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GPU-accelerated Critical Path Generation with Path Constraints 40

GPU-accelerated Critical Path Generation with Path Constrain...

引用

40th IEEE/ACM international conference on computer aided design (ICCAD)

作者： Guo, Guannan Huang, Tsung-Wei Lin, Yibo Wong, Martin Univ Illinois Dept Elect & Comp Engn Champaign IL 61820 USA Univ Utah Dept Elect & Comp Engn Salt Lake City UT USA Peking Univ Dept Comp Sci Beijing Peoples R China Chinese Univ Hong Kong Dept Comp Sci & Engn Shatin Hong Kong Peoples R China

ISBN: (纸本)9781665445078

Path-based Analysis (PBA) is a pivotal step in Static Timing Analysis (STA) for reducing slack pessimism and improving quality of results. Optimization flows often invoke PBA repeatedly with different critical path constraints to verify correct timing behavior under certain logic cone. However, PBA is extremely time consuming and state-of-the-art PBA algorithms are hardly scaled beyond a few CPU threads under constrained search space. In order to achieve new performance milestone, in this work, we propose a new GPU-accelerated PBA algorithm which can handle extensive path constraints and quickly report arbitrary number of critical paths in constrained search space. Experimental results show that our algorithm can generated identical path report and achieve up to 102x speed up on a million-gate design compared to the state-of-the-art algorithm.

关键词： design automation graphics processing units C++ languages Filtering algorithms throughput Timing Optimization

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An Optimal Learning-Based Optimizer for Task Scheduling and Resource Utilization in Online and Offline Cloud Environment 9

An Optimal Learning-Based Optimizer for Task Scheduling and ...

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9th IEEE international conference on Smart Structures and Systems, ICSSS 2023

作者： Prathiba, S. Sankar, Sharmila B.S.Abdur Rahman Crescent Institute of Science and Technology School of Computer Information and Mathematical Sciences Chennai India

ISBN: (纸本)9798350384208

Due to the fast growth of the cloud computing environment and the massive number of clients it now has, it has become difficult for cloud firms to manage the vast number of data and various cloud resources, which range from individual users to significant corporations or business houses. the performance of cloud computing may suffer from ineffective resource management. As a result, resources must be distributed fairly among many stakeholders without sacrificing the organization's profitability or the enjoyment of its customers. Because the essential resources are not available on the board, a client request cannot be put on hold forever. To solve those issues, the Multi-Task Wolf Optimizer (MTWO) approach proposed which integrates efficient task scheduling with secure resource allocation in cloud computing is introduced in this study. the following are the suggested MTWO techniques: First, a task short scheduler based on an improved wolf optimization approach decreases make-span time and increases throughput. Secondly, a deep neural network with group optimization at its core (MTWO) is combined with bandwidth and resource load for effective resource allocation under a variety of design restrictions. Also, resource utilization is investigated with resource-based reinforcement learning (r -RL) the efficacy of the suggested methodology is then demonstrated by simulating the proposed MTWO + r-RL approach utilizing a unique simulation setup and analyzing the results using cutting-edge methods. the results show that the recommended method outperforms the present one in terms of resource consumption, energy use, reaction time, etc. © 2023 IEEE.

关键词： Resource allocation

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Transparent Data Usage of design Data through a Tracking and Tracing Model 9

Transparent Data Usage of Design Data through a Tracking and...

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9th international conference on Information Technology, computer and Electrical Engineering, ICITACEE 2022

作者： Giese, Tim Anderl, Reiner Darmstadt Germany

ISBN: (数字)9781665471503

ISBN: (纸本)9781665471480

Due to the increasing digitalization and globalization in todaýs virtual product development, virtual products and design data are exchanged between a large number of participants in the global and collaborative design process. Since digital goods can be copied and distributed without someonés awareness, after a product is virtually designed and passed on to a manufacturer, designers are missing knowledge and transparency about whether their data is further distributed or modified without their permission. Furthermore, nowadays products are often developed based on customer requirements and designers are missing knowledge about the actual use case. However, if designers would be provided with this information, they could provide their customers with hints about design improvement which would result in a more sustainable product development. Approaching this problem, the necessity of transparent data usage along the supply chain in order to create a more sustainable product development was identified. therefore, a concept was developed which tracks and traces a virtual product to determine by who and where the data is used and how they are modified while not violating someonés privacy. the concept proposes a novel data tracking and tracing model which consists of a tracking and tracing graph and tracking and tracing criteria. To validate the concept, a prototypical implementation was conducted and evaluated. the authors came to the conclusion that the presented concept can be used effectively to determine the current location and user of a virtual product. Moreover, the concept provides the data owner knowledge about whether their data was distributed without permission and feedback about the planned use case of a product thus creating a transparent and sustainable use of design data. © 2022 IEEE.

关键词： Supply chains

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Enhancing Medical Image Analysis: Leveraging Transfer Learning in Convolutional Neural Networks for Tuberculosis Detection

Enhancing Medical Image Analysis: Leveraging Transfer Learni...

引用

international conference for Convergence of Technology (I2CT)

作者： Piyush Pankaj Dahiwadkar Hrishin Mandar Bhamre Aarti Sahitya Dept. of Computer Engineering K.J. Somaiya Institute of Technology Sion (Affiliated to Mumbai University) Mumbai India

ISBN: (数字)9798350394474

ISBN: (纸本)9798350394481

Advancements in medical imaging have paved the way for image-based computer-aided diagnosis (CADx) systems, revolutionizing the detection of lung abnormalities, including lung nodules and diffuse lung diseases. this paper explores the potential of convolutional neural networks (CNNs) in image-based CADx without the reliance on image-feature extraction, presenting a powerful alternative to feature-based CADx methods. Additionally, we introduce an image-based computer-aided detection (CADe) algorithm employing regions with CNN features (R-CNN) for precise identification of lung abnormalities. We conduct comprehensive evaluations of our image-based CADx utilizing CNN and CADe employing R-CNN, demonstrating their effectiveness across various lung abnormalities.

关键词： Solid modeling Tuberculosis Pulmonary diseases Transfer learning Neural networks Lung Streaming media

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TamagoPhone: A Framework for Augmenting Artificial Incubators to Enable Vocal Interaction Between Bird Parents and Eggs 9

TamagoPhone: A Framework for Augmenting Artificial Incubator...

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9th international conference on Animal-computer Interaction (ACI)

作者： Kleinberger, Rebecca Vemuri, Megha Sands, Janelle Sareen, Harpreet Baker, Janet M. Northeastern Univ Boston MA 02115 USA MIT Media Lab Cambridge MA 02139 USA Parsons Sch Design New York NY 10011 USA

ISBN: (纸本)9781450398305

For some precocial bird species, vocal interactions occur pre-hatching between parent and embryo within the egg. Such prenatal sensory experiences may affect development and have long-term consequences on postnatal behavior. Although artificial incubators increase survival rate, they prevent vocal communication, potentially hindering the development of species identity and behaviors. this work introduces a research design predicated on the review of relevant literature, aimed at new applications for animal management. We propose an approach and set of considerations to augment artificial incubators with two-way, low-latency audio streaming to reestablish the vocal communication channel between parent birds and eggs. In the nest, the real egg is replaced by an augmented "dummy" egg, embedded with a microphone and speaker. We present our motivations, followed by an overview of the system and a series of considerations in terms of engineering, design, species-specific and evaluation requirements. Finally we elaborate on different application contexts such as research, farming, and preservation.

关键词： bird egg incubation framework vocal communication in ovo artificial incubation animal enrichment prehatching auditory experience embryo development animal computer interaction

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A Secure design of the Smart Vehicular IoT System using Blockchain Technology 9

A Secure Design of the Smart Vehicular IoT System using Bloc...

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9th international conference on Computing for Sustainable Global Development, INDIACom 2022

作者： Shrivastava, Atul Lal Dwivedi, Rajendra Kumar Madan Mohan Malaviya University of Technology Deptt. of Information Technology and Computer Application Gorakhpur India

ISBN: (纸本)9789380544441

these days, Internet of things (IoT) is widely used in several real-life applications viz., smart agriculture, smart city, smart healthcare, and smart vehicles. Smart vehicles are interconnected and deliver a variety of sophisticated services to their owners, transit authorities, automobile manufacturers, and other service providers. Smart cars could be exposed to a number of security and privacy risks, including Global Positioning System (GPS) tracking and remote vehicle hijacking. In vehicular IoT, a variety of data are stored in cloud and any alteration in data can cause major road accidents. Blockchain is an evolving technology that can be used for security using decentralization and smart contracts. It is a viable solution for implementing security in vehicular IoTs. In this paper, we presented a blockchain-based methodology to preserve users' privacy while simultaneously boosting vehicle security. the proposed methodology keeps the vehicle data at the servers and related hash values are stored in the blockchain. thus, the proposed model offers security using decentralization of data. this method outperforms the existing methods in terms of security as well as efficiency. © 2022 Bharati Vidyapeeth, New Delhi.

关键词： Internet of things

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Mathematical Model and design of the Mobile Robot with Propellers Which Working on the Periodic Jamming Effect 9th

Mathematical Model and Design of the Mobile Robot with Prope...

引用

9th international conference on Interactive Collaborative Robotics, ICR 2024

作者： Bordyugov, Denis Briskin, Evgeniy Sharonov, Nikolay Volgograd State Technical University 28 Lenin Avenue Volgograd400005 Russia

ISBN: (纸本)9783031713590

We consider a robot moving along a horizontally or inclined located rod. the potential use of the robot is possible for moving along extended rod structures (pipes, ropes, power lines). the design includes two bushings, one of which, due to frictional forces as a result of jamming, wraps around the rod and is held on it, while the other one moves freely. When mobile robot moving along a horizontally located rod occurs design adds two servo drives and additional weights which servo drives turns, under the action of the weight and the friction force between the supporting element and the guide the bushing jams, while the other is able to move freely along it. When moving along an inclined guide there is no need for additional weights, the engagement with the supporting surface is due to friction forces and the force acting from the linear actuator. the principle of operation of the propeller is based on the effect of periodic jamming. A mathematical model has been developed. Obtained dependencies which are necessary to determine the robot design features. A 3d model of a mobile robot with propulsion devices operating on the effect of periodic jamming has been developed, on it basis has been assembled the test stand. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Bushings

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Automatic Tooth Enumeration on Panoramic Radiographs Using Deep Learning 9

Automatic Tooth Enumeration on Panoramic Radiographs Using D...

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9th IEEE international conference on Computing, Engineering and design, ICCED 2023

作者： Fariza, Arna Asmara, Rengga Rojaby, Muhammad Oktavian Fajar Astuti, Eha Renwi Putra, Ramadhan Hardani Politeknik Elektronika Negeri Surabaya Department of Informatics and Computer Engineering Surabaya Indonesia Universitas Airlangga Department of Dentistry Surabaya Indonesia

ISBN: (纸本)9798350370126

Accurate tooth numbering is essential for dental procedures, treatment planning, and patient record management. Automatic tooth enumeration in dental panoramic radiographs is crucial in modern dental image analysis and diagnosis. Tooth enumeration in panoramic radiographs has relied on handcrafted features and traditional image processing techniques. Still, these methods often lack the accuracy and robustness required for complex cases and varied image qualities. Despite the advancements in deep learning-based object detection algorithms, a significant research gap remains in the specific domain of automatic tooth enumeration on panoramic radiographs. this research paper presents an innovative approach for automatic tooth enumeration on panoramic radiographs using the state-of-the-art You Only Look Once (YOLO) object detection framework focused on implementing the YOLOv5 library. the YOLOv5 model is evaluated as an efficient system capable of accurately detecting and enumerating individual teeth from panoramic radiographs. the 612 panoramic radiograph images evaluation shows the bounding-box results show the best tooth detection rate in the YOLOv5x model. the YOLOv5 model is generally very good at predicting tooth enumeration on panoramic radiographs in a relatively small dataset. this advancement is expected to enhance dental diagnosis and treatment planning, benefiting dental professionals and patients. © 2023 IEEE.

关键词： Object detection

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