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SSHTDNS: A Blockchain-Based Secure, Scalable, and High-Throughput Domain Name System 3

SSHTDNS: A Blockchain-Based Secure, Scalable, and High-Throu...

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3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Singh, Baldev Kavita Vivekananda Global University Department of Computer Science Engineering Jaipur India Chandigarh School of Business Department of Master of Computer Application India

ISBN: (纸本)9798350399264

The Internet's crucial domain name system is in charge of translating domain names into IP addresses. However, because of its dispersed structure with a hub, it is subject to significant security concerns. Since the creation of Bitcoin, blockchain has drawn a lot of attention owing to its decentralized, trustworthy, and secure features. In this article, we suggest SSHTDNS, a brand-brand-new domain name system built on the blockchain. SSHTDNS selects the consortium chain form to ensure the management of Top-Level Domain names, and these consortium nodes use linkable ring signature technology for identity anonymity and vote fairness. Shading protocol is used in multi-chain structures to increase the system's scalability and throughput. A domain name system that combines these methods can be safe, scalable, and high-throughput. © 2023 ieee.

关键词： Blockchain

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An Improved Hard Thresholding Pursuit Algorithm for Compressive Sensing 3

An Improved Hard Thresholding Pursuit Algorithm for Compress...

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3rd international conference on Consumer Electronics and computer Engineering, ICCECE 2023

作者： Li, Qingliu Ren, Dandan Luo, Yuan School of Mathematics and Big Data Anhui University of Science and Technology Anhui Province Huainan China

ISBN: (纸本)9798350331578

The tail-?1 minimization model greatly improves the sparse signal recovery ability compared with ?1 minimization model. However, solving the tail-?1 minimization problem requires high computational cost and a lot of time. The hard thresholding pursuit (HTP) technology is attractive due to its computational efficiency in practice. Inspired by the HTP technology, the HTP technology is considered to be an efficient technique to solve the tail-?1 minimization problem. This paper introduces an improved HTP technology, namely tail-HTP. The tail-HTP technology retains the computational simplicity of the HTP technology and greatly improves the efficiency of solving the tail-?1 minimization problem. In addition, the tail-HTP technology also improves the sparse signal recovery ability of the HTP technology. The experimental results verify the high efficiency and superior sparse signal recovery ability of the tail-HTP technology. © 2023 ieee.

关键词： Computational efficiency

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Blockchain-Enabled Privacy and Homomorphic Encryption with Voting Classifier in IIoT 3

Blockchain-Enabled Privacy and Homomorphic Encryption with V...

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3rd international conference on Secure Cyber Computing and Communications, ICSCCC 2023

作者： Nisha, M. Sharon Rajakumar, G. Myrtle, R. Shirly Priya, N. Raja Muthulakshmi, A. Francis Xavier Engineering College Deptt of Computer Science Engineering Tamil Nadu Tirunelveli India Francis Xavier Engineering College Deptt of Electronics and Communication Engineering Tamil Nadu Tirunelveli India

ISBN: (纸本)9798350300710

In this virtual world, there are billions of physical devices are sharing their data via the Industrial Internet of Things (IIoT). These data transactions centralize with security and authentication for passing the data among IIoT applications. However, this centralization is exposed to security limitations due to its rapid growth and it is difficult to scale up the applications which acts as a critical challenge for the researchers. To improve the reliability of the IIoT application, federated learning with blockchain technology is utilized for data security. The UCI medical repository is taken as the input dataset which is fetched to k-means clustering for a cluster then homomorphic encryption for encrypting the input data. This encrypted data is verified by the signature sign-in process for authentication purposes. The blockchain accepts these data via decryption using a private key. Finally, the ensemble model (SVM, RF, Decision tree) classifies the result into five categories such as stage 1, stage 2, stage 3, stage 4, and stage 5 of heart disease. The experimental result shows the performance of the proposed system is better than the existing algorithms. Thus, we integrate blockchain and federated learning to provide an enhanced environment for IIoT applications. © 2023 ieee.

关键词： Blockchain

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Research on high-speed processing of array ultrasonic signal based on FPGA 3

Research on high-speed processing of array ultrasonic signal...

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3rd ieee international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Wang, Lirong Zhang, Shuaitao Wang, Beining Harbin University of Science and Technology Harbin China Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9798350398410

In array ultrasound imaging, because the software needs to process a large amount of raw data, it is not easy to improve the imaging rate of the system. This paper uses FPGA to realize the high-speed processing of ultrasound images based on array ultrasound transducers with 64 array signals intercepted in parallel. After that, it performs histogram equalization on the image in the FPGA, and finally sends the processed result to the computer for display. This study can significantly improve the array ultrasound signal processing rate, thereby increasing the continuous imaging frame rate of the imaging system. In addition, when designing the pixel value accumulation module, the system innovatively uses a dedicated RAM instead of a counter array for statistics, which can reduce hardware resources. © 2023 ieee.

关键词： Field programmable gate arrays (FPGA)

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Detecting Buildings from Remote Sensing Imagery: Unleashing the Power of YOLOv5 and YOLOv8 3

Detecting Buildings from Remote Sensing Imagery: Unleashing ...

引用

3rd international conference on Innovative Sustainable Computational Technologies, CISCT 2023

作者： Vaidya, Himadri Gupta, Akansha Ghanshala, Kamal Kumar Computer Science and Engineering Graphic Era Hill University Dehradun India Computer Science and Engineering Graphic Era University Dehradun India

ISBN: (纸本)9798350303360

Building detection plays a crucial role in various applications, for example, urban planning, infrastructure development, and disaster assessment. In the past few years, single-stage object detection algorithms, specifically the YOLO (You Only Look Once) models, have gained significant attention due to their real-time performance and accuracy. This research work concentrates on the application of YOLOv5 (nano (n), small (s), medium (m), and large (l)) and YOLOv8 (n, s, and m) for building detection from remotely sensed images. For experimentation, the popular SZTAKI-INRIA building detection benchmark dataset is used. Further the standard indicators namely f-score, recall, precision and mean average precision (mAP) are computed for quantitative analysis. The results showed that the performance of YOLOv5l (f-score=0.915) is best followed by YOLOv8m with an f-score of 0.905. The results exhibit the potential of both models in accurately detecting buildings from remote sensing data. © 2023 ieee.

关键词： Object detection

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TBNet: Three branch network for image dehazing via subspace projection 3

TBNet: Three branch network for image dehazing via subspace ...

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3rd ieee international conference on Information Technology, Big data and Artificial Intelligence, ICIBA 2023

作者： Huang, Jie Cai, Wenjun Yang, Xie Wuhan University of Arts and Science Wu Han430000 China Changsha University of Science and Technology Chang Sha410114 China Liaoning University Liao Ning110136 China

ISBN: (纸本)9781665490788

The advancement of modern society is always followed by environmental pollution, and the haze phenomenon is becoming more common, having a significant impact on our lives. Haze is a typical atmospheric phenomena caused by small floating particles in the air such as dust and smoke. These floating particles absorb and scatter light significantly, lowering the quality of acquired photos. Many practical applications, such as video surveillance, remote sensing, and autonomous driving, are jeopardized by haze, and advanced computer vision tasks, such as detection and recognition, are difficult to complete. As a result, image defogging has become an increasingly relevant technique with great research value while also being a tough topic. In this paper, we take this as a starting point and design the TBNet: Three branch network with subspace projection as an introduction point to implement image defogging, and achieve satisfactory results on the Fog-Cityscpace dataset. © 2023 ieee.

关键词： Image reconstruction

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Convolutional Neural Network-Based Anomaly Detection for Cyber Security: A Survey 3

Convolutional Neural Network-Based Anomaly Detection for Cyb...

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3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Agarwal, Neha Kaur, Amandeep Vivekananda Global University Department of Computer Science Engineering Jaipur India Chandigarh School of Business Department of Master of Computer Application Jhanjeri India

ISBN: (纸本)9798350399264

There are many security risks as computer and communication technologies continue to advance. To reduce these worries, several different kinds Numerous processes with cyber-security enabled have been developed. Anomaly detection is one of these methods. Finding anomalies involves employing a variety of approaches and procedures to identify various patterns that do not adhere to predetermined characteristics of the entire body of data. Deep learning techniques have recently been accepted as an adequate option due to their capacity to take data properties directly from the data. Convolution neural network (CNN) is employed primarily because it can handle input with many dimensions. This study offers a thorough analysis of the use of CNN as a primary tool for anomaly identification. The majority of the known remedies have been compiled and categorized in the literature. Additionally, this research provides a bound together cross framework that mimics complete anomaly detection methods that were previously offered examinations, as per the information source. In-depth assessment from a brought together cross system upgrades this paper's top to bottom conversation of how CNN is utilized in the writing's response to the irregularity identification issue. Finally, this article makes a number of recommendations for future study areas that the audience may find useful in their own further activities in this area. © 2023 ieee.

关键词： Anomaly detection

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SceneAlert: A Mass Media Brand Listening Tool 3

SceneAlert: A Mass Media Brand Listening Tool

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3rd international Mobile, Intelligent, and Ubiquitous Computing conference, MIUCC 2023

作者： Ghoneim, Lara Helmy, Salma Yasser, Mohammed Wael, Omar Heidar, Mahmoud Ghanim, Taraggy Misr International University Faculty of Computer Science Egypt

ISBN: (纸本)9798350306231

Nowadays, a company's reputation is a main determinant of its success;it is beneficial for companies to be aware of what observers are saying about them in the media so that they may respond correctly. The proposed system is a website application that facilitates staying up to date with the latest mentions of companies. The system allows clients to enter keywords that represent what they want to monitor and select the media platforms they want to search. Our website application supports different media platforms, including social media platforms, blogs and articles, radio stations, podcasts, and television. Various tools and APIs implement data gathering from these platforms. The system accesses Twitter through the Twitter API v2, blogs and articles through the Bing Search API, and accesses podcasts through the iTunes Search API, and YouTube, television and radio using the y_dl tool. Audio preprocessing is implemented on the retrieved audio files, after which the Automated Speech Recognition (ASR) process is achieved using the Google Web Speech API, followed by the text preprocessing phase. The system detects the keyword mentions and alerts clients with the awaited context. It processes the data received to provide clients with data visualization on a web application after the data processing and analysis phase, which essentially includes sentiment analysis using the Mazajak API operating on a Convolutional Neural Network - Long Short-Term Memory (CNN-LSTM) model as well as topic modelling using BERTopic and text summarization using the Latent Dirichlet Allocation (LDA) topic model. © 2023 ieee.

关键词： Speech recognition

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Ubiquitous Computing Integration Models Enabling Wireless Networks of Sensors 3

Ubiquitous Computing Integration Models Enabling Wireless Ne...

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3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Gupta, Lovi Raj Khalid, Al Smadi Kumar, Ujjawal Mahadevuni, Sai Kumar Al-Chilibi, Hayder Alazzam, Malik Bader Lovely Professional University Phagwara India Jadara University Computer Science Jordan Jordan Faculty of Business Department of Business Intelligence Jordan Jordan Uttaranchal University Uttaranchal Institute of Technology India SR University School of Engineering Telangana Warangal India Al-Farahidi University Computer Science and IT Baghdad10021 Iraq Ajloun National University Information Technology College Jordan

ISBN: (纸本)9798350399264

Proposed system, pollution monitoring, the automobile industry, and sports are just a few of the application areas that have grown as a result of ubiquitous sensing and the distinctive features (Sensor systems). As the underlying significantly expanded the number of linked things with real-time communication and data computation, WSNs have grown in importance in recent years. However, owing to the scale and accessibility of IoT, building a complex challenge, and past methodologies established for Iot technologies cannot be implemented directly. In this paper, pairwise clusters models for Iot networks in the Iot paradigm are proposed: I a resource grouping model and (ii) a business clusters model where responsibilities are allocated to individual sensor nodes depending on how well they provide services. The end-to-end latency, and communication bandwidth balancing. © 2023 ieee.

关键词： Ubiquitous computing

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Optimizing Light Extraction in Luminescent Solar Concentrators for Horticulture applications via Genetic Algorithm-Based Reconstruction 3

Optimizing Light Extraction in Luminescent Solar Concentrato...

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3rd international conference on Electronic Information Engineering and computer science, EIECS 2023

作者： Peng, Xiaojian Xu, Zhijie Papakonstantinou, Ioannis University College London Faculty of Engineering Department of Electrical & Electronic Engineering LondonWC1E 6BT United Kingdom

ISBN: (纸本)9798350316674

Horticulture luminescent solar concentrators (HLSCs) have demonstrated their ability to accomplish spectral conversion and enhance light extraction. However, conventional HLSCs with an extruded uniform micro-cone array on the bottom surface exhibit relatively poor light extraction due to non-isotropic scattering of photons. In this study, we propose a novel HLSC design inspired by nature, which incorporates an extruded disordered micro-cone array that is optimised using the genetic algorithm. By employing Monte-Carlo ray tracing, we estimate a maximum normalised external quantum efficiency of 52.43% for our design, corresponding to a 16.4% improvement compared to a conventional HLSC with an extruded uniform micro-cone array on the bottom surface. Our disordered micro-cone array patterned surface successfully address the light trapping issues in uniform textured HLSCs, laying a solid groundwork for practical applications. © 2023 ieee.

关键词： alternative applications review application of the genetic algorithm horticulture luminescent solar concentrator luminescent solar concentrator static systems

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