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检索条件"任意字段=11th International Conference on Computer-Aided Design and Computer Graphics"

共 8486 条记录，以下是1391-1400 订阅

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“Secure Architecture for Providing Data Authenticity in IoT Enabled Devices”

“Secure Architecture for Providing Data Authenticity in IoT...

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international conference on System Modeling & Advancement in Research Trends (SMART)

作者： Shivangi Gulishta Khan Shalini Z Ninoria College of Computer Science and Information Technology Teerthanker Mahaveer University Moradabad UP India

ISBN: (纸本)9781665487351

the Internet of things (IoT) is a young technology that is rapidly evolving. because of importance of IoT within the destiny, it will be extremely important to create adequate security for IoT infrastructure. Via this existing article, the architecture of IoT and their security dimensions are addressed after presenting and exploring the securities and demanding scenarios of various IoT layers. the use of sensitive information that needs to be kept secret from third parties will increase as a result of the development of modern private technologies. In order to assess and mitigate many IoT privacy issues and support the design and deployment of cosy and touchy systems, present methodologies are neither sufficient nor powerful. this study suggests a data authentication architecture in this situation. In particular, there may be a drive toward adopting secure IoT architectures that rely on physically unreproducible capabilities and in-depth research to guarantee the privacy of retrieved IoT data.

关键词： Privacy Data privacy Authentication Market research Security Internet of things

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Application of PTC «graphics -TR» for teaching university students on the course «computer simulation of circuits and devices» 30

Application of PTC «Graphics -TR» for teaching university ...

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30th international conference on computer graphics and Machine Vision, GraphiCon 2020

作者： Smirnov, Sergei Sizova, Ludmila V.A. Trapeznikov Institute of Control Science Russian Academy of Sciences 65 Profsoyuznaya street Moscow117997 Russia

this paper describes the capabilities of the graphics-TR programmatically technical complex (PTC) as a tool for teaching university students the general principles of computer-aided design of schematic documentation using the graphics-TP programmatically technical complex. A brief history of the development of CAD, CAM and PDM systems in our country and abroad is presented. the main disadvantages of using foreign CAD in Russia are given. Attention is focused on electronic design automation (EDA) systems for circuit engineering tasks, which is a subspecies of CAD systems. the article provides a justification for the development of domestic software at the scientific Institute (computer graphics Laboratory, part of the division of the V. A. Trapeznikov Institute of management problems of the Russian Academy of Sciences) for solving problems in the field of EDA design. With the help of "graphics -TR", we consider computer modeling of circuits by automating design work on the example of a practical solution to the problem in the field of circuit engineering and development of printed circuit boards. there are also examples of practical classes on the study of circuitry by students of MTUCI on the course of lectures "computer modeling of circuits and devices". © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： Printed circuit boards

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design of Restricted Coulomb Energy Neural Network Processor for Multi-modal Sensor Fusion 11th

Design of Restricted Coulomb Energy Neural Network Processor...

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11th international conference on computer Science and its Applications, CSA 2019 and 14th KIPS international conference on Ubiquitous Information Technologies and Applications, CUTE 2019

作者： Cho, Jaechan Kim, Minwoo Jung, Yongchul Jung, Yunho School of Electronics and Information Engineering Korea Aerospace University Goyang-si Korea Republic of

ISBN: (纸本)9789811593420

this paper proposes a restricted coulomb energy neural network (RCE-NN) with an improved learning algorithm and presents the hardware architecture design and FPGA implementation results. the proposed learning algorithm divides each neuron region in the learning process and measures the reliability with different factors for each region. In addition, it applies a process of gradual radius reduction by a pre-defined reduction rate. In performance evaluations using two datasets, RCE-NN with the proposed learning algorithm showed high recognition accuracy with fewer neurons compared to existing RCE-NNs. the proposed RCE-NN processor was implemented in an Intel-Altera Cyclone IV FPGA with 26,702 logic elements, 13,096 registers and 131,072bits memory and operated at the clock frequency of 150 MHz. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Field programmable gate arrays (FPGA)

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Using Trust-Based Data Integrity Verification and Energy-Aware Hierarchical Data Aggregation for WSN

Using Trust-Based Data Integrity Verification and Energy-Awa...

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international conference on System Modeling & Advancement in Research Trends (SMART)

作者： Dushyant Singh Gaganpreet Department of Computer Science Engineering Vivekananda Global University Jaipur India Department of Master of Computer Application Chandigarh School of Business

ISBN: (纸本)9781665487351

Because of their numerous uses, wireless sensor networks are currently quite popular. these nodes are typically placed in severe environments and have limited power supplies, making it difficult to replace them. Because of these problems, reducing energy consumption is a top priority to increase network lifespan. To solve the challenging issue of data aggregate, we created a novel combining technique that carries out grouping & trusted computation procedures. this design divides the networks into three categories based on remaining energy: normal networks, advance networks, & super networks. the proposed model utilises a hierarchical structure, and we present a novel method for determining the best number of cluster. the clustered head of choice. After selecting the root node, we employ a confidence calculation strategy that offers sense confidence, connection trust, & nodes trust. the nodes trust is computed using indirect & direct trust. To protect the data integrity, this confidence mechanism is used hop by hopping. the empirical study shows that the proposed approach boosts efficiency while preserving WSN's safeguards.

关键词： Wireless sensor networks Energy consumption Power supplies Data integrity Computational modeling System performance Packet loss

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MAKER DAYS for Kids: Learnings from a Pop-up Makerspace 1

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11th international conference on Robotics in Education (RiE)

作者： Grandl, Maria Ebner, Martin Schoen, Sandra Bruenner, Benedikt Graz Univ Technol Munzgrabenstr 36-1 A-8010 Graz Austria Univ Negeri Malang Jl Semarang 05 Malang 65145 Indonesia

ISBN: (数字)9783030674113

ISBN: (纸本)9783030674106;9783030674113

Makerspaces exist in different forms with different target groups and goals. Dedicated makerspaces are often organized as communities of practise. they provide space, devices, tools and materials for (digital) (re)production to support (social) innovation and to democratize STEAM education. the potential of makerspaces as authentic learning environments to teach 21st century skills is one reason why pop-up makerspaces are especially designed for children and teenagers, with a great focus on the tools and activities offered. the MAKER DAYS for kids are one example of a temporary makerspace for more than 100 participants with an open approach to encourage (especially female) participants to pursue a career in STEAM domains. Based on the gathered data of the last MAKER DAYS in 2018 and 2019 at Graz University of Technology, this publication focuses on the challenges in the design of maker activities in pop-up makerspaces and comments on the changes and improvements that were/are applied to the last/upcoming event.

关键词： Maker movement Maker education Maker space Pop-up maker space STEAM education computer science education design education

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Deep Learning-Enhanced Medical System for Disease Prediction, Medication Recommendation, and Intelligent Question-Answering Based on Patient Symptomatology

Deep Learning-Enhanced Medical System for Disease Prediction...

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IEEE UP Section conference on Electrical computer and Electronics (UPCON)

作者： Kabiru Uba Kiru Surya Kant Pal Salim Saad Ahmad Ismail Muhammad Kabir Department of Mathematics School of Basic Sciences and Research Sharda University Greater Noida Uttar Pradesh India Department of Computer Sci. School of Engineering and Technology Sharda University Greater Noida Uttar Pradesh India

ISBN: (数字)9798350378726

ISBN: (纸本)9798350378733

Deep Learning (DL) is branch of machine learning that emulates the architecture and functioning of the human brain through neural networks to process and analyzes large amounts of data and extract meaningful patterns and insight. this study presents an innovative medical system that leverages deep learning and natural language processing (NLP) techniques to predict diseases based on symptomatology and provide personalized health suggestions, which involves an indepth design of a deep learning-driven medical assistant platform, which will feature the integration of state-of-the-art deep learning models with multiple NLP techniques and models for predicting the disease that a patient may have just by describing the symptoms, prescribing medication, and answering medical-related questions. this project provides a long lasting solutions to the various healthcare issues, like; assisting medical professionals in decision-making quickly, likewise assists patient with answers to medical queries, also assists patient by providing instantaneous, accurate, and personalized health suggestions with pending approval from the doctors and professionals. Bidirectional Encoder Representations from Transformers (BERT) like models will be adopted to answer questions and classify diseases together Long Short-Term Memory (LSTM) for classification task, with BERT also for the remaining tasks. Health access is further facilitated while reducing chances of misdiagnosis that lead to bad outcomes for patients because of intelligent automation. the use of machine learning models allows adaptation to new data, and therefore the system is robust and scalable. the study utilizes TF-IDF vectorization with Hugging Face Transformers, PyTorch, Scikit-learn, Pandas, NLTK libraries, hugging face trainer class and also accuracy, precision, recall f1-score and exact match metrics. the models attained high scores in various metrics which make all the tasks efficient to use by both medical and non-medical

关键词： Deep learning Accuracy Medical services Bidirectional control Predictive models Transformers Natural language processing Encoding Medical diagnostic imaging Diseases

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Blockchain in Cloud Computing: design Challenges

Blockchain in Cloud Computing: Design Challenges

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international conference on System Modeling & Advancement in Research Trends (SMART)

作者： Sanjay D. Jondhale Sachin K. Korde Dhananjay S. Rakshe I. Mohana Krishna Shaik Vaseem Akram Devvret Verma Department of Computer Engineering Pravara Rural Engineering College Loni Savitribai Phule Pune University Pune Maharashtra India Department of Information Technology Pravara Rural Engineering College Loni Savitribai Phule Pune University Pune Maharashtra India KL Business School KL University Vaddeswaram Andhra Pradesh India Uttaranchal Institute of Technology Uttaranchal University Department of Biotechnology Graphic Era Deemed to be University Dehradun Uttarakhand India

ISBN: (纸本)9781665487351

Blockchains is an immutable network comprising data records that are shared from across show's nodes and include all the specifics of the transactions that have transpired. Consent techniques are used to validate every transaction made in the computer, and once data has been recorded, it cannot be changed. Bitcoin, a well-known virtual currency, is supported by blockchains, which is a prerequisite new tech. the term “cloud technology” refers to the usage of a network of remote servers located on the internet to store, process, and analyse data instead of a server or even a personal computer. Numerous difficulties still exist, including those associated with data management, safety, and dependability. In this post, we've discussed some of the major problems that the clouds are now facing and suggested remedies by fusing the internet with block chain. To demonstrate their superiority, we prefer to go at a quick review of prior research that were centre on blockchain integration with the cloud. In this study, we have created an infrastructure that integrates cryptocurrency and cloud, exposing how they communicate.

关键词： Cloud computing Online banking Bitcoin Microcomputers Market research Blockchains Safety

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Application of a differentiated instruction approach in computer systems education 11

Application of a differentiated instruction approach in comp...

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11th National conference with international Participation, ELECTRONICA 2020

作者： Kostadinov, Atanas Nikolov Kolev, Krassimir Iliev Faculty of Electronics and Automation Technical University of Sofia Department of Computer Systems and Technologies Plovdiv4000 Bulgaria Technical Faculty University of Food Technologies Department of Computer Systems and Technologies Plovdiv4002 Bulgaria

ISBN: (纸本)9781728175317

Sometimes there is a difference in students' level of knowledge on the topics included in their university courses. the lecturer should present material to all participants regardless of their background. We have selected a differentiated instruction approach to cope with mentioned problem. this method has been used in Reconfigurable Logic, VLSI design as well as computer Modeling subjects. the obtained results show that all students benefit from this approach. © 2020 IEEE.

关键词： Integrated circuit design

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Energy-efficient Security Technique Implementation for Selective Forwarding Attack in WSN

Energy-efficient Security Technique Implementation for Selec...

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Annual Information Technology, Electromechanical Engineering and Microelectronics conference (IEMECON)

作者： Hriday Banerjee Surendra Yadav Department of computer science and Engineering Vivekananda Global University (VGU) Jaipur India

Today, security threats provide the greatest challenge to sensor networks. WSNs, or wireless sensor networks, are commonly implemented in practical settings. However, WSNs are subject to a wide variety of assaults from both inside and outside the network, with insider attacks being especially difficult to detect and defend against. Most often, the clustered WSNs are at risk from an insider threat, in which the hackers pick and choose which incoming data packets to discard. Unmonitored network clusters are to blame for this predicament. Selective forwarding attacks (SFA) in WSN have the potential to cause damage to a wide variety of mission critical applications, including military surveillance and forest fire censorship. In these types of attacks, malicious nodes function like regular nodes for the majority of the time, but they may occasionally drop sensitive packets selectively, such as a packet recording the activity of a dissimilar power, which makes it more difficult to determine whether or not they have malicious intent. the focus of this research is the protective method against Selective forwarding assaults in WSN. First, this paper provides an overview of Wireless sensor networks, including their essential parts, defining features, and potential uses. Also, WSNs are becoming increasingly popular, but their architecture needs to be thoroughly comprehended before they can be used in a practical setting. this work uses the Open System Interconnection (OSI) model and several protocols to analyze WSN architecture, laying a solid groundwork for wireless sensor networks and helping readers find a convenient summary of key concepts, protocols, and challenges on the path to an appropriate design model for WSNs. the use of WSNs has expanded to encompass many different fields and functions. these networks are typically designed for a specific purpose, making it difficult to adapt them to meet the needs of emerging technologies. As a result, more and more WSNs will lik

关键词： Wireless sensor networks Solid modeling Analytical models Protocols Surveillance Open systems Routing

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computer aided Diagnosis of thyroid Disease Using Machine Learning Algorithms 11

Computer Aided Diagnosis of Thyroid Disease Using Machine Le...

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11th international conference on Electrical and computer Engineering (ICECE)

作者： Asif, Md Asfi-Ar-Raihan Nishat, Mirza Muntasir Faisal, Fahim Shikder, Md Fahim Udoy, Mahmudul Hasan Dip, Rezuanur Rahman Ahsan, Ragib Islamic Univ Technol Dept Elect & Elect Engn Dhaka Bangladesh

ISBN: (纸本)9781665422543

this paper presents a comprehensive study of investigating the performance of different machine learning algorithms in the diagnosis of thyroid disease. Detecting thyroid disease at an early stage is a task of utmost significance because fatal thyroid diseases like thyroid cancer can be fully cured with proper treatment. therefore, machine learning (ML) has made its way up to be a reliable component to predict thyroid diseases. A dataset from the University of California, Irvine (UCI) repository has been trained and tested to build the model classifier. Several classifying machine learning algorithms were implemented on the dataset and their corresponding confusion matrices were presented. Subsequently, a detailed comparative analysis was carried out in terms of accuracy, precision, sensitivity, F1 score, ROC-AUC which provided conclusive evidence that Multilayer Perceptron (MLPC) was the most proficient algorithm among these algorithms with an accuracy of 99.70% after hyperparameter optimization.

关键词： Machine learning thyroid disease UCI dataset Hyperparameter optimization

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