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2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023

作者： Waheed, Nazar Khan, Fazlullah Mastorakis, Spyridon Jan, Mian Ahmad Alalmaie, Abeer Z. Nanda, Priyadarsi School of Electrical and Data Engineering University of Technology Sydney Sydney Australia Abdul Wali Khan University Department of Computer Engineering Mardan Pakistan University of Notre Dame Computer Science and Engineering Department United States

ISBN: (纸本)9798350346473

The rapid expansion of Internet of Things (IoT) devices in smart homes has significantly improved the quality of life, offering enhanced convenience, automation, and energy efficiency. However, this proliferation of connected devices raises critical concerns regarding security and privacy of the user data. In this paper, we propose a differential privacy-based system to ensure comprehensive security for data generated by smart homes. We employ the randomized response technique for the data and utilize Local Differential Privacy (LDP) to achieve data privacy. The data is then transmitted to an aggregator, where an obfuscation method is applied to ensure individual anonymity. Furthermore, we implement the Hidden Markov Model (HMM) technique at the aggregator level and apply differential privacy to the private data received from smart homes. Consequently, our approach achieves a dual layer of privacy protection, addressing the security concerns associated with IoT devices in smart cities. © 2023 IEEE.

关键词： Internet of things

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Advancements in Chatbot technology: Enhancing User Experience through AI and NL

Advancements in Chatbot Technology: Enhancing User Experienc...

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2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Applications, ICAIQSA 2024

作者： Arora, Yojna Singh, Ajeet Sharma, Abhay Aggarwal, Nitin Bansal, Nidhi Sharda University Department of Computer Science & Engineering Greater Noida India Moradabad Institute of Technology Department of Computer Science & Engineering Uttar Pradesh Moradabad India School of Computing and Intelligent System Manipal University Jaipur Department of IoT & IS Rajasthan Jaipur India Supervisor Oracle Development Database Admin Data Science PA United States Pune India

ISBN: (纸本)9798331517953

A chatbot is an AI-powered software or application designed to communicate with people. This technology can perform a variety of tasks, including providing instant responses and answers to users, delivering information, assisting with purchasing products, and enhancing customer service. In my paper, I present the fundamental principles and essential concepts of computing related to chatbots and its applications various sectors like Education, E commerce, Entertainment, Healthcare, Telecommunication, Customer Service etc. The paper also mentions detailed literature explain the contribution by various researchers in this fields. Architecture and step wise approach of creating a chatbot is presented lately. © 2024 IEEE.

关键词： Chatbots

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Research on Price Prediction based on WDBiLSTM-Attention model 5

Research on Price Prediction based on WDBiLSTM-Attention mod...

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5th IEEE Information technology, Networking, Electronic and Automation Control Conference, ITNEC 2021

作者： Wang, Lin Wang, Xingfen Sun, Xuan Beijing Information Science and Technology University Computer Technology Beijing China Business Big Data Analytics Research Centre Beijing China

ISBN: (纸本)9781665415989

Gold price has the characteristics of nonlinearity, high noise and stochasticity, and accurate prediction of price trend is important for investors and international environment. The experiment selects 5-minute high-frequency data of gold futures prices from Shanghai Futures Exchange, uses Wavelet Domain Denoising (WD) to process the price series data, and uses XGBoost model in integrated learning algorithm to evaluate and filter indicators to reduce the influence of noise and some weakly correlated features on price prediction. The Wavelet Domain Denoising processed price series data and the correlated features screened by the XGBoost model are constructed as a dataset to build a hybrid model of WD- BiLSTM-Attention to predict prices. The experiments show that the WD-BiLSTM (Bi-directional Long-Short Term Memory)- Attention hybrid model improves the prediction accuracy compared with benchmark models such as Support Vector Machine (SVM), Long-Short Term Memory (LSTM) and BiLSTM and provides some reference value for the design and development of quantitative investment strategies in the future. © 2021 IEEE.

关键词： Long short-term memory

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Virtual Image Generation: Bridging Reality and Virtuality for Long-Tail Traffic scenes

Virtual Image Generation: Bridging Reality and Virtuality fo...

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Digital Twins and Parallel Intelligence (DTPI), IEEE International Conference on

作者： Feibing Xu Hui Zhang Xiaohua Suo Yidong Li Key Laboratory of Big Data & Artificial Intelligence in Transportation Beijing Jiaotong University Ministry of Education School of Computer Science and Technology Beijing Jiaotong University Beijing China

ISBN: (数字)9798350349252

ISBN: (纸本)9798350349269

Although visual perception algorithms have made significant progress in most normal scenes, it is still challenging for autonomous driving systems to accurately perceive long-tail scenes that occur less frequently, which can lead to serious traffic safety issues. However, existing open-source datasets do not systematically collect sufficient long-tail scenes. To fill this gap, we propose a pipeline for designing large-scale, diverse long-tail traffic scenes and generating virtual datasets based on the parallel vision approach. A virtual dataset named Vir-LTTS (virtual long-tail traffic scenes) is built, comprising various scenes such as extreme weather conditions, adverse lighting conditions, traffic accidents, unique forms of traffic objects, and blurry images caused by camera defects. We investigate the potential of training models using the Vir-LTTS dataset in long-tail traffic scenes. Experimental results show that pre-training with Vir-LTTS significantly improves the performance of visual models in long-tail traffic scenes.

关键词： Training Visualization Heavily-tailed distribution Pipelines Lighting Cameras Safety Digital twins Visual perception Meteorology

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Property Graphs in Arachne

Property Graphs in Arachne

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IEEE Conference on High Performance Extreme Computing (HPEC)

作者： Oliver Alvarado Rodriguez Fernando Vera Buschmann Zhihui Du David A. Bader Department of Data Science New Jersey Institute of Technology Newark NJ USA

Analyzing large-scale graphs poses challenges due to their increasing size and the demand for interactive and user-friendly analytics tools. These graphs arise from various domains, including cybersecurity, social sciences, health sciences, and network sciences, where networks can represent interactions between humans, neurons in the brain, or malicious flows in a network. Exploring these large graphs is crucial for revealing hidden structures and metrics that are not easily computable without parallel computing. Currently, Python users can leverage the open-source Arkouda framework to efficiently execute Pandas and NumPy-related tasks on thousands of cores. To address large-scale graph analysis, Arachne, an extension to Arkouda, enables easy transformation of Arkouda dataframes into graphs. This paper proposes and evaluates three distributable data structures for property graphs, implemented in Chapel, that are integrated into Arachne. Enriching Arachne with support for property graphs will empower data scientists to extend their analysis to new problem domains. Property graphs present additional complexities, requiring efficient storage for extra information on vertices and edges, such as labels, relationships, and properties.

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Levosimendan attenuates electrical alternans and prevents ventricular arrhythmia during therapeutic hypothermia in isolated rabbit hearts

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Heart Rhythm 2023年第5期20卷 744-753页

作者： Chien, Yu-Shan Weng, Chi-Jen Wu, Shang-Ju Li, Cheng-Hung Lin, Jiunn-Cherng Huang, Jin-Long Lin, Shien-Fong Lin, Yenn-Jiang Hsieh, Yu-Cheng Chen, Shih-Ann Cardiovascular Center Taichung Veterans General Hospital and Chiayi Branch Taichung and Chiayi Taiwan Department of Internal Medicine Faculty of Medicine Institute of Clinical Medicine Institute of Biomedical Engineering National Yang Ming Chiao Tung University School of Medicine Taipei and Hsinchu Taiwan Department of Data Science and Big Data Analytics Department of Financial Engineering Providence University Taichung Taiwan College of Medicine National Chung Hsing University Taichung Taiwan Heart Rhythm Center and Division of Cardiology Department of Medicine Taipei Veterans General Hospital Taipei Taiwan

Background: Therapeutic hypothermia (TH) increases the susceptibility to ventricular arrhythmias (VAs) by prolonging action potential duration (APD) and facilitating arrhythmogenic spatially discordant alternans (SDA). Levosimendan, a calcium sensitizer, has been reported to shorten APD by enhancing the adenosine triphosphate (ATP)-sensitive K current. Objective: The purpose of this study was to test the hypothesis that, during TH, levosimendan shortens the already prolonged APD, attenuates SDA, and prevents VA. Methods: Langendorff-perfused isolated rabbit hearts were subjected to TH (30°C) for 15 minutes, followed by treatment with either levosimendan 0.5 μM (n = 9) or vehicle (n = 8) for an additional 30 minutes under TH. Using an optical mapping system, epicardial APD was evaluated by S1 pacing. SDA threshold was defined as the longest pacing cycle length (PCL) that induces the phenomenon of SDA. Ventricular fibrillation (VF) inducibility was evaluated by burst pacing for 30 seconds at the shortest PCL that achieved 1:1 ventricular capture. Results: During TH, levosimendan shortened ventricular APD (PCL 400 ms;from 259 ± 8 ms to 241 ± 18 ms;P =.036) and decreased SDA threshold (from 327 ± 88 ms to 311 ± 68 ms;P =.011). VF inducibility was lowered from 39% ± 30% to 14% ± 12% with levosimendan (P =.018), whereas APD at PCL 400 ms (P =.161), SDA threshold (P = 1), and VF inducibility (P =.173) were not changed by vehicle. Conclusion: During TH, levosimendan could protect hearts against VA by shortening APD and decreasing SDA threshold. Enhancing ATP-sensitive K current with levosimendan might be a novel approach to preventing VA during TH. © 2023 Heart Rhythm Society

关键词： Action potential duration Alternans Hypothermia Levosimendan Optical mapping

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ZeroMark: towards dataset ownership verification without disclosing watermarks 24

ZeroMark: towards dataset ownership verification without dis...

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Proceedings of the 38th International Conference on Neural Information Processing Systems

作者： Junfeng Guo Yiming Li Ruibo Chen Yihan Wu Chenxi Liu Heng Huang Department of Computer Science Institute of Health Computing University of Maryland College Park College of Computing and Data Science Nanyang Technology University

ISBN: (纸本)9798331314385

High-quality public datasets significantly prompt the prosperity of deep neural networks (DNNs). Currently, dataset ownership verification (DOV), which consists of dataset watermarking and ownership verification, is the only feasible solution to protect their copyright by preventing unauthorized use. In this paper, we revisit existing DOV methods and find that they all mainly focused on the first stage by designing different types of dataset watermarks and directly exploiting watermarked samples as the verification samples for ownership verification. As such, their success relies on an underlying assumption that verification is a onetime and privacy-preserving process, which does not necessarily hold in practice. To alleviate this problem, we propose ZeroMark to conduct ownership verification without disclosing dataset-specified watermarks. Our method is inspired by our empirical and theoretical findings of the intrinsic property of DNNs trained on the watermarked dataset. Specifically, ZeroMark first generates the closest boundary version of given benign samples and calculates their boundary gradients under the label-only black-box setting. After that, it examines whether the given suspicious method has been trained on the protected dataset by performing a hypothesis test, based on the cosine similarity measured on the boundary gradients and the watermark pattern. Extensive experiments on benchmark datasets verify the effectiveness of our ZeroMark and its resistance to potential adaptive attacks. The codes for reproducing our main experiments are publicly available at https://***/JunfengGo/***.

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Quantum-Inspired Distributed Memetic Algorithm

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Complex System Modeling and Simulation 2022年第4期2卷 334-353页

作者： Guanghui Zhang Wenjing Ma Keyi Xing Lining Xing Kesheng Wang the School of Information Science and Technology and the Hebei Key Laboratory of Agricultural Big Data Hebei Agricultural UniversityBaoding 071001China the School of Information Science and Technology Hebei Agricultural UniversityBaoding 071001China. the State Key Laboratory for Manufacturing System Engineering and the Systems Engineering Institute Xi’an Jiaotong UniversityXi’an 710049China the School of Electronic Xidian UniversityXi’an 710071China the Department of Production and Quality Engineering Norwegian University of Science and TechnologyTrondheim 7491Norway

This paper proposed a novel distributed memetic evolutionary model,where four modules distributed exploration,intensified exploitation,knowledge transfer,and evolutionary restart are coevolved to maximize their strengths and achieve superior global *** exploration evolves three independent populations by heterogenous *** exploitation evolves an external elite archive in parallel with exploration to balance global and local *** transfer is based on a point-ring communication topology to share successful experiences among distinct search *** restart adopts an adaptive perturbation strategy to control search diversity *** computation is a newly emerging technique,which has powerful computing power and parallelized ***,this paper further fuses quantum mechanisms into the proposed evolutionary model to build a new evolutionary algorithm,referred to as quantum-inspired distributed memetic algorithm(QDMA).In QDMA,individuals are represented by the quantum characteristics and evolved by the quantum-inspired evolutionary optimizers in the quantum *** QDMA integrates the superiorities of distributed,memetic,and quantum *** experiments are carried out to evaluate the superior performance of *** results demonstrate the effectiveness of special designs and show that QDMA has greater superiority compared to the compared state-of-the-art algorithms based on Wilcoxon’s rank-sum *** superiority is attributed not only to good cooperative coevolution of distributed memetic evolutionary model,but also to superior designs of each special component.

关键词： distributed evolutionary algorithm memetic algorithm quantum-inspired evolutionary algorithm quantum distributed memetic algorithm

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Boli: A dataset for understanding stuttering experience and analyzing stuttered speech

arXiv

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arXiv 2025年

作者： Batra, Ashita Narang, Mannas Sharma, Neeraj Kumar Das, Pradip K. Department of Computer Science and Engineering Mehta Family School of Data Science and AI Indian Institute of Technology Guwahati Guwahati781039 India

There is a growing need for diverse, high-quality stuttered speech data, particularly in the context of Indian languages. This paper introduces Project Boli, a multi-lingual stuttered speech dataset designed to advance scientific understanding and technology development for individuals who stutter, particularly in India. The dataset constitutes (a) anonymized metadata (gender, age, country, mother tongue) and responses to a questionnaire about how stuttering affects their daily lives, (b) captures both read speech (using the Rainbow Passage) and spontaneous speech (through image description tasks) for each participant and (c) includes detailed annotations of five stutter types: blocks, prolongations, interjections, sound repetitions and word repetitions. We present a comprehensive analysis of the dataset, including the data collection procedure, experience summarization of people who stutter, severity assessment of stuttering events and technical validation of the collected data. The dataset is released as an open access to further speech technology development. © 2025, CC BY.

关键词： data assimilation

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Study on the Identification, Risk Evaluation and Control of the Dangerous and Harmful Factors of Power Enterprise database 4

Study on the Identification, Risk Evaluation and Control of ...

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4th IEEE International Conference on Electronics and Communication Engineering, ICECE 2021

作者： Li, Xiaoxue Fang, Nengwei Li, Yunpeng Li, Yan Tan, Dong Fan, Bo Hu, Yuan Xin, Ya Big Data Center Beijing Aerospace Data Co. Ltd. Beijing China General Headquarters Beijing Aerospace Data Co. Ltd. Beijing China Conformity Department Institute of Technology International Standard Co. Ltd. Beijing China General Headquarters Chengdu Aerospace Science and Industry Big Data Institute Ltd Chengdu China

ISBN: (纸本)9781728194226

As an important part of the energy industry, power generation enterprises have complex production process and environment, and many hazard risk factors. The importance of its safety management has gradually become a consensus. Compared with traditional safety management methods, risk pre control emphasizes the planning of prevention and control in advance. Its theoretical basis is to comprehensively and systematically identify and evaluate all hazards and harmful factors. In order to determine the main risk sources and harmful factors, clarify the management focus and direction, formulate more targeted and advanced management measures, prevent the development of hidden dangers and accidents caused by improper risk control, and realize intrinsic safety. "4M" mainly comes from the theory of "safety management of human, machine, media and 4m elements" put forward by Japanese scholar Shigeru nishima. Under the guidance of 4m barrier theory, power enterprises have formed a set of risk pre control models for identifying, evaluating and formulating measures, and established "operation activity risk", "maintenance operation activity risk" and "regional environmental risk""Equipment", "failure risk" and "management risk" are five standard basic risk databases. The standard basic risk database identifies hazards, hazards and eco-environmental factors, comprehensively analyzes and evaluates hazard consequences, occurrence possibility, hazard degree and accident type, and puts forward corresponding control measures and behavior standards. ©2021 IEEE

关键词： Hazards

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