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IEEE International Conference on Control science and Systems Engineering (CCSSE)

作者： Jing Ren Hossam A. Gabbar Xishi Huang Alireza Saberironaghi Dept. of Electrical and Computer Engineering Ontario Tech University Oshawa ON Canada Faculty of Energy Systems and Nuclear Science Engineering and Applied Science Ontario Tech University Oshawa ON Canada RS Opto Tech Ltd Suzhou Jiangsu China

In many industrial applications, the number of defect samples is often insufficient for defect detection using conventional deep learning techniques. Also, the frequent change of PCBA board types on the product line introduces new defect types and adds a layer of challenge to the detection task considered in this paper. We propose a deep learning algorithm that targets learning patterns from various defect types with unbalanced training samples in the PCBA manufacturing product lines. A novel batch sampling method is proposed for the deep learning method for PCBA defect detection. We have validated the proposed algorithm using normal and defective images. The results show that the proposed deep learning method can accurately identify defects in PBCA images and achieve an overall accuracy of 98%. This deep learning technique can also be extended to detect other surface-level defects.

关键词： Deep learning Training Printed circuits Sampling methods Control systems Manufacturing Task analysis

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Twitter Sentiment Analysis using an Ensemble Weighted Majority Vote Classifier 3

Twitter Sentiment Analysis using an Ensemble Weighted Majori...

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3rd International Conference on Advanced science and Engineering, ICOASE 2020

作者： Aziz, Roza H. Hama Dimililer, Nazife Faculty of Arts Sciences Dept. of Applied Mathematics and Computer Science North Cyprus Mersin 10 Famagusta Turkey Dept. of Information Technology North Cyprus Mersin 10 Famagusta Turkey

ISBN: (纸本)9781665415798

Sentiment analysis extracts the emotions expressed in text and has been employed in many fields including politics, elections, movies, retail businesses and in recent years microblogs to understand, track and control the human sentiments or reactions toward products events or ideas. Nevertheless challenges such as different styles of writing, use of negation and sarcasm, existence of spelling mistakes, invention of new words etc. provide obstacle in the correct classification of sentiments. This paper provides an ensemble of classifiers framework for sentiment analysis. The proposed weighted majority voting ensemble method combines six models including Naïve Bayes, Logistic Regression, Stochastic Gradient Descent, Random Forest, Decision Tree and Support Vector Machine to form a single classifier. Weights of the individual classifiers of the ensemble are chosen as accuracy or Fl-score by optimizing their performance. This approach combines models based on the simple majority voting as opposed to the one based on weighted majority voting. Additionally, a comparison is drawn among these six individual classifiers to evaluate their performance. The proposed ensemble model is tested on some existing sentiment datasets, including SemEval 2017 Task 4A, 4B and 4C. The results demonstrate that the Logistic Regression classifier is optimal as compared to other individual classifiers. Furthermore, the proposed ensemble weighted majority voting classifier with the six individual classifiers performs better compared to the simple majority voting and all independent classifiers. © 2020 IEEE.

关键词： Sentiment analysis

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InstaSight: Leveraging AI to See Beyond Sight for Blind Users on Social Media

InstaSight: Leveraging AI to See Beyond Sight for Blind User...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Chun-Nan Chi Jia-Lien Hsu Chi-Huang Hung Chia-Hsun Hsu To Nguyen Tan Phuong Wei-Chih Juan Graduate Institute of Applied Science and Engineering Fu Jen Catholic University New Taipei City Taiwan R.O.C. Department of Computer Science and Information Engineering Fu Jen Catholic University New Taipei City Taiwan R.O.C. Dept. of Information Technology Graduate Institute of Applied Science and Engineering Fu Jen Catholic University Lee-Ming Institute of Technology New Taipei City Taiwan R.O.C. Dept. of International High School Kang Chiao International School New Taipei City Taiwan R.O.C. Dept. Electronical Engineering Lee-Ming Institute of Technology New Taipei City Taiwan R.O.C. Department of Information Management Hwa Hsia University Of Technology New Taipei City Taiwan R.O.C.

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

This study introduces “InstaSight,” a system enabling visually impaired individuals to engage with social media focused on visual content. InstaSight integrates a Single Board computer, head-mounted webcam, and Bluetooth headset for seamless voice interactions. By utilizing the APIs of social media, speech recognition, and Large Language Models (LLMs), users can post photos and videos with voice-to-text captions and listen to comments converted from text or images. This system fosters social engagement, helping blind users connect and share experiences, improving their psychological well-being.

关键词： Headphones Visualization Electric potential Social networking (online) Webcams Large language models Psychology Speech recognition Consumer electronics Videos

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Programming teaching experience for boys and girls following a gamified approach 22

Programming teaching experience for boys and girls following...

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22nd International Symposium on computers in Education, SIIE 2020

作者： Cruz-GGarcía, Iago Martín-García, Juan Antonio Pizarro, Celeste Pérez-Marín, Diana Computer Science and Statistics Dept. Universidad Rey Juan Carlos Móstoles Madrid Spain Applied Mathematics Dept. Universidad Rey Juan Carlos Móstoles Madrid Spain

Teaching programming in Primary Education is a worldwide research interest topic. Currently, there are several approaches that are being analyzed with more or less success in terms of learning gains, levels of motivation, and satisfaction. In this paper, the proposal is to use a gamified approach. Hypothesis 1 (H1) is that the gamified approach will increase students' learning gains while also increasing their level of satisfaction and motivation. Hypothesis 2 (H2) is that there will be no significant differences between boys and girls from 10 to 12 years old. During the 2019/2020 academic year, an experiment was carried out with 100 students from 10 to 12 years old. All students have started their programming learning through a gamified approach, varying the resource used (teacher, Blockly, Blockly + video game). The results gathered support H1 and H2 and yield interesting results to continue analyzing the differences between the resources used. © 2020 CEUR-WS. All rights reserved.

关键词： Motivation

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Photo-induced charge carrier dynamics in a semiconductor-based ion trap investigated via motion-sensitive qubit transitions

arXiv

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arXiv 2023年

作者： Lee, Woojun Chung, Daun Jeon, Honggi Cho, Beomgeun Choi, KwangYeul Yoo, SeungWoo Jung, Changhyun Jeong, Junho Kim, Changsoon Cho, Dong-Il Kim, Taehyun Dept. of Computer Science and Engineering Seoul National University Seoul08826 Korea Republic of Automation and Systems Research Institute Seoul National University Seoul08826 Korea Republic of Institute of Computer Technology Seoul National University Seoul08826 Korea Republic of Inter-University Semiconductor Research Center Seoul National University Seoul08826 Korea Republic of Dept. of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of Dept. of Intelligence and Information Seoul National University Seoul08826 Korea Republic of Institute of Applied Physics Seoul National University Seoul08826 Korea Republic of

Ion trap systems built upon microfabricated chips have emerged as a promising platform for quantum computing to achieve reproducible and scalable structures. However, photo-induced charging of materials in such chips can generate undesired stray electric fields that disrupt the quantum state of the ion, limiting high-fidelity quantum control essential for practical quantum computing. While crude understanding of the phenomena has been gained heuristically over the past years, explanations for the microscopic mechanism of photo-generated charge carrier dynamics remains largely elusive. Here, we present a photo-induced charging model for semiconductors, whose verification is enabled by a systematic interaction between trapped ions and photo-induced stray fields from exposed silicon surfaces in our chip. We use motion-sensitive qubit transitions to directly characterize the stray field and analyze its effect on the quantum dynamics of the trapped ion. In contrast to incoherent errors arising from the thermal motion of the ion, coherent errors are induced by the stray field, whose effect is significantly imprinted during the quantum control of the ion. These errors are investigated in dept. and methods to mitigate them are discussed. Finally, we extend the implications of our study to other photo-induced charging mechanisms prevalent in ion traps. © 2023, CC BY.

关键词： Trapped ions

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Spam Text Detection using Machine Learning Model

Spam Text Detection using Machine Learning Model

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International Technical Conference o Circuits/Systems, computers and Communications (ITC-CSCC)

作者： Mahasak Ketcham Thittaporn Ganokratanaa Patiyuth Pramkeaw Narumol Chumuang Dept. of Information Technology Management King Mongkut's University of Technology North Bangkok Bangkok Thailand Applied Computer Science Program King Mongkut's University of Technology Thonburi Bangkok Thailand Media Technology Program King Mongkut's University of Technology Thonburi Bangkok Thailand Dept. of Digital Media Technology Muban Chombueng Rajabhat University (MCRU) Thailand

This research presents a classification between spam and non-spam messages by removing duplicate sentences or words. meaningless word and various marks The data is then classified by machine learning techniques and compared by differences between the data sets. Quantitative transformations were performed on each model to find the most efficient model. which can filter spam messages efficiently and quickly By getting the best comparison results in terms of information. quantitative conversion and model use The experimental results showed that Of all the tests, the model that performed best was Random Forest, with an average accuracy of 97

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Micromotion compensation of trapped ions by qubit transition and direct scanning of dc voltages

arXiv

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arXiv 2023年

作者： Lee, Woojun Chung, Daun Kang, Jiyong Jeon, Honggi Jung, Changhyun Cho, Dong-Il Dan Kim, Taehyun Dept. of Computer Science and Engineering Seoul National University Seoul08826 Korea Republic of Automation and Systems Research Institute Seoul National University Seoul08826 Korea Republic of Institute of Computer Technology Seoul National University Seoul08826 Korea Republic of Dept. of Physics and Astronomy Seoul National University Seoul08826 Korea Republic of Inter-university Semiconductor Research Center Seoul National University Seoul08826 Korea Republic of Dept. of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of Institute of Applied Physics Seoul National University Seoul08826 Korea Republic of

Excess micromotion is detrimental to accurate qubit control of trapped ions, thus measuring and minimizing it is crucial. In this paper, we present a simple approach for measuring and suppressing excess micromotion of trapped ions by leveraging the existing laser-driven qubit transition scheme combined with direct scanning of dc voltages. The compensation voltage is deduced by analyzing the Bessel expansion of a scanned qubit transition rate. The method provides a fair level of sensitivity for practical quantum computing applications, while demanding minimal deviation of trap condition. By accomplishing compensation of excess micromotion in the qubit momentum-excitation direction, the scheme offers an additional avenue for excess micromotion compensation, complementing existing compensation schemes. © 2023, CC BY.

关键词： Trapped ions

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PCP Framework to Expose Malware in Devices

PCP Framework to Expose Malware in Devices

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2020 International Conference on Electronics and Sustainable Communication Systems, ICESC 2020

作者： Nigam, Rahul Pathak, Rohit Kumar Kumar, Arun Prakash, Shiv Centre for Advanced Studies Dr. A.P.J. Abdul Kalam Technical University Dept. of Computer Science and Engineering Lucknow Uttar Pradesh226031 India Jk Institute of Applied Physics and Technology Dept. of Computer Science and Engineering Prayagraj211002 India

ISBN: (纸本)9781728141084

Cybersecurity is the biggest threat to the world economy. Nowadays, the internet is the main cause of increase the cybercrime and help the attacker to act to harm the victim system. The attacks and exploits are becoming more sophisticated and harder to detect. The attacker uses new techniques and processes to steal important information from the system. A cyber attacker creates malware to damage system and gains unauthorized access. The signature-based and pattern analysis of malicious code is not effective and efficient for malware detection. In this paper, proposed a new framework to detect the malware in devices using the combination of blockchain technology and machine learning algorithm. The main objective of this research is to improve the false-positive and false-negative rate to increase the accuracy of malware detection in devices. The other significance of this paper is to identify the new type of malware which cannot be identified yet using the signature method and pattern method. The experimental result shows better accuracy, precision for detecting the malware. © 2020 IEEE.

关键词： Blockchain

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Parhit: An Innovative Full-Stack Donation Platform with Dynamic-Routing Approach in ReactJS

Parhit: An Innovative Full-Stack Donation Platform with Dyna...

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International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

作者： Shivangi Joshi Vishal Pushpad Nabya Dutt Yaghik Pandey Tanupriya Choudhury Ketan Kotecha School of Computer Science University of Petroleum and Energy Studies Dehradun Uttarakhand India CSE Dept. Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune India Symbiosis Centre for Applied Artificial Intelligence Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune India

In today's world, people have increasingly diverse requirements and interests that span a wide range of products. The pressing global issues now extend beyond hunger to encompass the various needs of individuals, including clothing, footwear, bags, and everyday household items. By developing a web-based online system using *** with a dynamic routing approach, we can provide an easy and efficient way for people to donate their used belongings to charitable organizations and nonprofits. This technology-driven system will simplify the donation process by leveraging the power of the internet. It will expedite the collection and distribution of old items so that they reach the appropriate organizations or individuals in a timely manner. Our primary focus is on implementing a dynamic-routing approach through *** framework which allows users to seamlessly navigate through different sections of the website. Additionally, this paper delves into incorporating features like user authentication and secure data storage management using Firebase to ensure confidentiality and efficiency when handling sensitive information.

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Using a Blend of Brassard and Benett 84 Elliptic Curve Digital Signature for Secure Cloud Data Communication

Using a Blend of Brassard and Benett 84 Elliptic Curve Digit...

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2020 International Conference on Electronics and Sustainable Communication Systems, ICESC 2020

作者： Srivastava, Vanchhana Pathak, Rohit Kumar Kumar, Arun Prakash, Shiv Centre for Advanced Studies Dr. A.P.J. Abdul Kalam Technical University Dept. of Computer Science and Engineering Lucknow Uttar Pradesh226031 India Jk Institute of Applied Physics and Technology Dept. of Computer Science and Engineering Prayagraj211002 India

ISBN: (纸本)9781728141084

The exchange of data has expanded utilizing the web nowadays, but it is not dependable because, during communication on the cloud, any malicious client can alter or steal the information or misuse it. To provide security to the data during transmission is becoming hot research and quite challenging topic. In this work, our proposed algorithm enhances the security of the keys by increasing its complexity, so that it can't be guessed, breached or stolen by the third party and hence by this, the data will be concealed while sending between the users. The proposed algorithm also provides more security and authentication to the users during cloud communication, as compared to the previously existing algorithm. © 2020 IEEE.

关键词： Quantum cryptography

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