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Alzheimers Disease Recognition using CNN Model with EfficientNetV2 2

Alzheimers Disease Recognition using CNN Model with Efficien...

引用

2nd Asian Conference on Innovation in Technology, ASIANCON 2022

作者： Raj, Abhishek Bujare, Sumit Gorthi, Anil Malik, Jahan Das, Abhradeep Kumar, Ashish JSPM's Rajarshi Shahu College of Engineering Dept. of Computer Science and Engineering Pune India Gitam Institute of Technology Dept. of Computer Science and Engineering Visakhapatnam India Vellore Institute of Technology Dept. of Computer Science and Engineering Chennai India Techno India University Dept. of Computer Science and Engineering West Bengal India Delhi Technological University Dept. of Information Technology Delhi India

ISBN: (数字)9781665468510

ISBN: (纸本)9781665468510

In recent years, machine learning-based identification of Alzheimer's disease (AD) from the use of brain images such as MRI has been a hot topic. Deep learning's recent triumph in object recognition has stimulated related research. Such algorithms, however, have some disadvantages, including the requirement for a large number of training pictures and rigorous deep network design optimization. To address these issues, we employ CNN and ANN in this study. Weights are pre-trained on huge natural picture benchmark datasets in state-of-the-art designs like EfficientNetV2, and only a few numbers of MRI images are used to retrain the comprehensive layers in state-of-the-art architectures like EfficientNetV2. Our dataset contains 4 characteristics, as well as 5121 training shots and 1279 testing photos. The data was initially divided into three sets: training, validation, and test, with just the training, validation sets being used to select models. To minimize overfitting, the tests were abandoned undisturbed until the collaborative process was completed. The various techniques performed well when applied to when using datasets with alternative criteria for inclusion or demographic features, this is not the case. © 2022 IEEE.

关键词： Object recognition

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Enhancing Incremental Learning of CNN model using Filtered New Added Samples Assisted with XAI

Enhancing Incremental Learning of CNN model using Filtered N...

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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Chang, Kuei-Chung Kuo, Chun-Yu National Yunlin University of Science and Technology International Graduate School of Artificial Intelligence Taiwan Feng Chia University Dept. of Information Engineering and Computer Science Taiwan

ISBN: (纸本)9798350324174

In the incremental learning technique, the accuracy of the model is improved by increasing the number of training samples. However, there are some problems when making this training mode. First, it is not known whether the newly added training samples will affect the learning effect of the model. Second, we know the result of the model identification, but we don't know what features are used to identify this object. In this paper, we propose a training dataset curation approach to improve model accuracy with incremental learning. To select the most appropriate explainable AI (XAI) method, we use the intersection over union (IOU) metric to measure the range calculation of real objects and model features to know the rationality of the model explanation. As we know that increase suitable training samples can improve the accuracy of the model, we added the XAI method to filter out new samples that are not suitable for the training set. We use the crack identification dataset in our method, and the accuracy can be improved from 0.895 to 0.93. © 2023 IEEE.

关键词： Sampling

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Physical and System Level Power Reduction Technique for NoC Architectures: Overview of State of the Art

Physical and System Level Power Reduction Technique for NoC ...

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2023 International Conference on Decision Aid sciences and Applications, DASA 2023

作者： Belkebir, Djalila Lati, Abdelhai Belkebir, Malak Faculty of New Information and Communication Technologies Ouargla30000 Algeria University of Oum El Bouaghi Research Laboratory on Computer Science's Complex Systems Dept. Mathematics and Computer Science Oum El Bouaghi Algeria

ISBN: (纸本)9798350342055

Power dissipation and energy consumption are key factors for the performance improvement of modern technology systems. In recent years, several strategies have been proposed to solve the power management issues on embedded systems. In this paper, we classify the state of the art of those techniques. Classification is done based on run-time, activation, and idle state of the different components of the network on chip (NoC). We illustrate the requirement of power management based on several important parameters. A highlight is put on the drawbacks and benefits. Also, classification is done based on different NoC abstraction levels. However, by this paper, we intend to guide the researchers and application developers in getting insights about the strategies of power management techniques that will lead to the design of more efficient high performances in embedded systems of the future. © 2023 IEEE.

关键词： Network-on-chip

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Exploring Educational Applicability of Virtual Touch System on Maker Space 5

Exploring Educational Applicability of Virtual Touch System ...

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5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022

作者： Yu, Pao-Ta Lo, Hung-Ting Fang, Yu-Cheng Li, An-Fang Liao, Ying-Han Tsai, Cheng-Yu National Chung Cheng University Dept. of Computer Science & Information Engineering Chiayi Taiwan

ISBN: (数字)9781665479295

ISBN: (纸本)9781665479295

Interaction with gestures is more intuitive than traditional input with a keyboard and a mouse. It has gradually become the major technology for extended reality. However, for most users, gesture control is not familiar as other interactive devices, and most user interfaces of daily-use applications are currently not designed for gesture control. Thus, we propose a mid-air hand gesture control system, named vTouch to realize a touch device trained by deep learning with a convolutional neural network for image feature extraction, attention mechanisms for extracting time-series data features, and fully connected layer for classification. Besides, there is a customized driver in kernel mode which treats the vTouch system as a virtual multi-touch device. An experimental design is also proposed to evaluate the effectiveness of the training and the usability of the system. © 2022 IEEE.

关键词： User interfaces

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A Comprehensive Study of Solar Energy Harvesting System in Wireless Sensor Networks 9

A Comprehensive Study of Solar Energy Harvesting System in W...

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9th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and computer engineering, UPCON 2022

作者： Sah, Dipak Kumar Mazumdar, Nabajyoti Pal, Pankaj Amgoth, Tarachand Dept. of Computer Science & Engineering Dhanbad826004 India Indian Institute of Information Technology Dept. of Information Technology Allahabad211015 India

ISBN: (数字)9798350332506

ISBN: (纸本)9798350332506

Wireless Sensor Networks (WSNs) incorporate sensor nodes with minimal power consumption. Sensor devices are in high demand in many areas, including smart cities, environmental monitoring, the Internet of Things (IoT), health monitoring, and the like. As nodes are frequently located in remote places, and an ordinary node battery life is too short, energy depletion is a significant problem for the sensor network. But it's not practical to change or regularly maintain the sensor node's battery. This could cause the network to disconnect. Consequently, a recharging sensor node battery has been identified using energy harvesting (EH). It has several environmental forms, including solar, wind, mechanical, etc. The solar system provides unlimited energy resources to nodes. This paper examines a comprehensive case study of solar harvesting systems and their most recent applications. In solar harvesting nodes, the following primary components are utilised: solar panels, energy storage classes, a DC-DC converter, maximum power point tracking (MPPT), an energy predictor, and a sensing module. Furthermore, we have discussed some recent applications and future work of sensor networks, for example, green street lights, agriculture 4.0, outdoor environment-based monitoring, IIoT, hybrid storage class and new communication technologies. © 2022 IEEE.

关键词： Sensor nodes

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A Blockchain-Based Secure Payment System for Vehicle Fuel Filling Station 25

A Blockchain-Based Secure Payment System for Vehicle Fuel Fi...

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25th International Conference on computer and information Technology, ICCIT 2022

作者： Haque, Md. Momenul Paul, Subrata Kumer Paul, Rakhi Rani Rashidul Hasan, Mirza A. F. M. Fahim, Sultan Islam, Shahinur Dept. of Computer Science and Engineering Natore6431 Bangladesh University of Rajshahi Dept. of Information & Communication Engineering Rajshahi6205 Bangladesh

ISBN: (纸本)9798350346022

South Asia countries like Bangladesh, India, and Pakistan have a large number of fuel filling stations that use centralized payment transaction systems. In some cases, this fuel filling station uses the hand cash payment system which is not secured and time-consuming. Each transaction takes more than five minutes to process. For that reason, in some cases, customers face the huge hassle of standing in a long line and waiting for their turn. Not only that, there are high possibilities of fraud activities and robbery being occur for large amounts of the payment transaction. To solve this problem we propose a blockchain-based payment transaction method for fuel filling stations. Here we use the decentralized open ledger infrastructure and proof-of-work to approve each transaction block. Every transaction between the customer and the filling station authority is completed through a digital wallet which is fully secured, fast, and transparent. Comparing to the bank payment transaction system our proposed method is decentralized and has low transaction fees applied in every transaction. This transaction process is free from third-party involvement and all transactions are immutable. For that reason no issues of customer trust and safe from fraud activities in a large number of payment transactions. Our proposed payment transaction method can play an important part to handle large amounts of transactions and provide transaction security for increasing the number of fuel filling stations in South Asia's most populated country. © 2022 IEEE.

关键词： Blockchain

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Solving NP-hard Problems with Quantum Annealing 4

Solving NP-hard Problems with Quantum Annealing

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4th IEEE Eurasia Conference on IoT, Communication and engineering, ECICE 2022

作者： Jiang, Jehn-Ruey Chu, Chun-Wei Naitonal Central University Dept. of Computer Science and Information Engineering Taoyuan City Taiwan

ISBN: (纸本)9781665482080

Quadratic unconstrained binary optimization (QUBO) formulas of quantum annealing (QA) algorithms are classified into four categories. QA algorithms using different QUBO formulas solve specific NP-hard problems as examples of the classification. The NP-hard problems solved are the subset sum, the vertex cover, the graph coloring, and the traveling salesperson problems. The QA algorithms are compared with their classical counterparts in terms of the quality of the solution and the time to the solution. Based on the comparison results, observations and suggestions are given for each QUBO formula category, so that proper actions can be adopted to improve the performance of QA algorithms. Compared with classical algorithms, QA algorithms are competitive in the current noisy intermediate-scale quantum (NISQ) era and beyond. © 2022 IEEE.

关键词： Annealing

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Homomorphic Encryption in Quantum Computing

Homomorphic Encryption in Quantum Computing

引用

Devices for Integrated Circuit (DevIC)

作者： Surojit Mondal Bikash Debnath Jadav Chandra Das Debashis De Dept. of Computer Science & Engineering Jadavpur University Kolkata India Dept. of Computer Science & Engineering Asansol Engineering College West Bengal India Dept. of Information Technology MAKAUT Kolkata India Dept. of Computer Science and Engineering MAKAUT Kolkata India

ISBN: (数字)9798350391107

ISBN: (纸本)9798350391114

Homomorphic encryption (HE) is a groundbreaking cryptographic method that allows calculations on encrypted data without the need for decryption, thus safeguarding privacy and security. This article investigates how to implement homomorphic encryption with QISKIT, a free-to-use quantum computing framework. The research investigates the theoretical underpinnings of HE, its use in quantum computing, and its importance for privacy-preserving calculations. Moreover, the study covers adder circuits based on quantum logic gates, their realization with QISKIT, and the prospects for improving computational security in cloud environments. The results stress the practical viability of HE in quantum environments, underscoring its possible uses in secure data processing and privacy-enhancing technologies.

关键词： Data privacy Cloud computing Quantum computing Technology Quantum mechanics Logic gates Cryptography Homomorphic encryption Adders Stress

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A Collaboration Federated Learning Framework with a Grouping Scheme against Poisoning Attacks 6

A Collaboration Federated Learning Framework with a Grouping...

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6th International Symposium on computer, Consumer and Control, IS3C 2023

作者： Liu, Chuan-Kang Chiang, Chi-Hui National Chin-Yi University of Technology Dept. of Artificial Intelligence and Computer Engineering Taichung Taiwan Chia Nan University of Parmacy and Science Dept. of Information Management Tainan Taiwan

ISBN: (纸本)9798350301953

Federated learning has been regarded as emerging machine learning framework due to its privacy protection. In the IoT trend, federated learning enables edge clients to predict or classify local detected data with a global model that is computed by a FL server through the aggregation of all local models trained by a base FL algorithm. However, meanwhile, its distributed nature also brings several security challenges. Poisoning attacks are the main security risks that can easily and efficiently affect the accuracy of the global learning model. Previous work proposed a voting strategy which can predict the label of the input robustly no matter the attacks the malicious users use. However, its accuracy also easily falls down as the number of malicious user increases while the number of groups is fixed. This paper proposes a new attack defense algorithm against poisoning attacks in federated learning. This paper uses ID-distribution features to group all clients, including normal and malicious ones. The main idea of this proposed scheme is to put those potential malicious clients in specified groups. Hence, the resulting vote output can accurately classify the dataset inputs, regardless of the number of the groups the learning framework has. Our analytical results also show that our scheme exactly perform better compared to original voting scheme. © 2023 IEEE.

关键词： Classification (of information)

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Design of Coffee Yield Estimation System Using computer Vision by Crowd Counting Model

Design of Coffee Yield Estimation System Using Computer Visi...

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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Chang, Kuei-Chung Lin, Yu-Lung International Graduate School of Artificial Intelligence National Yunlin University of Science and Technology Taiwan Feng Chia University Dept. of Information Engineering and Computer Science Taiwan

ISBN: (纸本)9798350324174

For coffee farmers, the yield of coffee is an issue that will affect their income. At present, the method used to estimate the coffee production is usually to estimate the production of the entire coffee garden by weighing the coffee till the harvest;however, this method does not have a way to understand the reasons of affecting coffee production in each period of the planting process. In this paper, we propose an intelligent system using a crowd counting model to estimate the yield of coffee, so that farmers can observe changes in the amount of coffee during the planting process from CCTVs remotely. Experimental results show that the proposed method can obtain estimated results with mean absolute error about 6.91. © 2023 IEEE.

关键词： computer vision

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