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12th International Conference on Frontier Computing, FC 2022

作者： Lei, Guangyu Lei, Jingsheng College of Computer Science and Technology Shanghai University of Power Shanghai China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou China

ISBN: (纸本)9789819914272

The Vision Transformer architecture based on Self Attention has been found performing well in feature extracting compared with the CNNs, but there were simply few studies on downstream detecting tasks. The person re-identification task lies on judging whether there is a specific person by extracting image features. There is inevitable loss when convolution kernels are operated with pooling and downsampling with traditional methods based on convolutional network. Therefore, we considered replacing Multihead Attention in Vision Transformer mechanism with a MAL layer based on Vision MLP. The attention mechanism aggregates spatial information. Specifically, the constructed MAL layer explored the MLP structure fitting spatial information. Based on the MLP structure, aMLP-reid mixed linear attention with which was proposed for person re-identification. The improvement was obvious compared with the CNNs on several popular datasets after plenty of experiments. The experiments also demonstrated the effectiveness of Vision MLP architecture for image matching tasks. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convolution

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Leveraging Adaptive Algorithms for Real-Time Data Analysis 15

Leveraging Adaptive Algorithms for Real-Time Data Analysis

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Sahoo, Girija Shankar Hannah Jessie Rani, R. Goyal, Manish Kumar Mohammed, Vazeer Ali Jana, D Little Femilin Wasatkar, Namrata N. Maharishi University of Information Technology Maharishi School of Engineering and Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Electrical and Electronics Engineering Karnataka Bangalore India Vivekananda Global University Department of Computer Science & Application Jaipur India Lewis University Illinois Department of Computer & Information System United States Prince Shri Venkateshwara Padmavathy Engineering College Department of Science and Humanities Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India

ISBN: (纸本)9798350370249

This paper proposes the use of adaptive algorithms for real-time data analysis. Adaptive algorithms are a set of practical methods used for acting information-driven optimization and studying. They have a wide variety of applications and may be implemented to a selection of facts analysis obligations. This paper offers an overview of existing adaptive algorithms and descriptions of several new programs in the area of actual-time facts analysis. In particular, the paper discusses the notion of adaptive thresholding, which allows for practical real-time evaluation of large datasets. The paper also provides a novel technique for making use of these algorithms in an online learning environment. Results from simulations illustrate the ability of the proposed method in real-international packages. Sooner or later, the paper presents numerous key lessons discovered and affords recommendations for future research and packages in this area. © 2024 IEEE.

关键词： Adaptive algorithms

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An Innovative Machine Learning Approach in Diagnostic Imaging Using Deep Learning

An Innovative Machine Learning Approach in Diagnostic Imagin...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Sharma, Deeplata Raghavendra, R. Yadav, Dhananjay Kumar Vivekananda Global University Department of Chemistry Jaipur India Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350383348

This paper affords an innovative approach to diagnostic imaging using deep mastering, a form of artificial intelligence (AI-primarily based) era. The proposed method combines switch studying (TL), and convolutional neural networks (CNNs) to it should stumble on abnormal findings in radiologic pics. This method outperforms the present strategies and extensively improves the prognosis accuracy for many imaging scans. The proposed deep getting-to-know approach is tested on an actual dataset and shows promising effects. Furthermore, the proposed approach improves diagnostic accuracy over traditional strategies with a comparable precision of 93%. The findings of this paper offer beneficial insights to healthcare practitioners and researchers who propose to enhance the accuracy of prognosis via intelligent structures using deep learning. Moreover, the proposed method can potentially reduce the weight of tedious and repetitive guide screening in radiology. This paper investigates a singular method for automated diagnostic imaging using device studying and deep studying technologies. Deep getting to know, a subset of synthetic intelligence, can manner complex records and appropriately pick out styles in medical images. The proposed approach uses convolutional neural networks (CNNs) to assess the characteristic vectors of virtual snapshots and a deep feature getting-to-know approach to pick out and classify regions of hobby inside the images. The observed results show that the proposed method is drastically more informative and accurate than traditional automatic diagnostic imaging techniques. Additionally, the proposed technique can lessen the fake tremendous and fake poor charges of diagnostic imaging, which results in improved accuracy and performance of the diagnostic procedure. The proposed method can potentially revolutionize the diagnostic imaging subject, a promising device for scientific prognosis.. © 2024 IEEE.

关键词： abnormal accuracy convolutional present switch

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Architecture development of middleware and API for IOT-based Red Onion farming

Architecture development of middleware and API for IOT-based...

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2023 International Seminar on Application for Technology of information and Communication, iSemantic 2023

作者： Steven, Alvin Suharnawi Alzami, Farrikh Saputra, Filmada Ocky Megantara, Rama Aria Andono, Pulung Nurtantio Universitas Dian Nuswantoro Dept. of Information Systems Indonesia Universitas Dian Nuswantoro Dept. of Information Engineering Indonesia Universitas Dian Nuswantoro Faculty of Computer Science Indonesia

ISBN: (纸本)9798350339215

IoT plays a crucial role in transforming the agricultural industry by offering diverse use cases starting from crop monitoring and precision farming to yield optimization. The fundamental reason why the agricultural community benefits immensely from IoT is due to its capacity to gather real-time data straight from their fields. Farming requires considerable attention, and wireless sensor networks enable farmers to deploy IoT devices throughout various parts of their farm so they can obtain information on soil moisture levels, temperature, humidity, among other essential parameters that are integral for effective agriculture management. This gathered data empowers farmers with accurate weather forecasts through machine learning techniques which assist them in making informed decisions related to planting or harvesting of crops - vital components critical for successful outcomes towards better yields. Moreover, middleware architectures/APIs developed specifically for IOT-based red onion farming utilize cloud computing services wherein these enlightening patterns generated get stored safely using analytics tools & automated systems. These intensify insights derived as it simplifies accessing important metrics aiding ease while analyzing historical trends advantageously helping make prudent future course corrective measures concerning planting/harvesting schedules based entirely on solid empirical evidence combined with artificial intelligence ensuring unprecedented efficiency gains and higher returns than previously achievable without technology guidance. © 2023 IEEE.

关键词： Crops

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Quorum sensing-based interactions among drugs,microbes,and diseases

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science China(Life sciences) 2023年第1期66卷 137-151页

作者： Shengbo Wu Shujuan Yang Manman Wang Nan Song Jie Feng Hao Wu Aidong Yang Chunjiang Liu Yanni Li Fei Guo Jianjun Qiao School of Chemical Engineering and Technology Tianjin UniversityTianjin 300072China School of Computer Science and Engineering Central South UniversityChangsha 410083China State Key Laboratory of Chemical Engineering Tianjin UniversityTianjin 300072China Collaborative Innovation Center of Chemical Science and Engineering(Tianjin) Tianjin 300072China Key Laboratory of Systems Bioengineering Ministry of Education(Tianjin University)Tianjin 300072China School of Computer Science and Technology College of Intelligence and ComputingTianjin UniversityTianjin 300350China Department of Engineering Science University of OxfordOxford OX13PJUK Institute of Shaoxing Tianjin UniversityShaoxing 312300China

Many diseases and health conditions are closely related to various microbes,which participate in complex interactions with diverse drugs;nonetheless,the detailed targets of such drugs remain to be *** existing studies have reported causal associations among drugs,gut microbes,or diseases,calling for a workflow to reveal their intricate *** this study,we developed a systematic workflow comprising three modules to construct a Quorum Sensing-based Drug-Microbe-Disease(QSDMD)database(http://***/),which includes diverse interactions for more than 8,000 drugs,163 microbes,and 42 common *** interactions between microbes and more than 8,000 drugs have been systematically studied by targeting microbial QS receptors combined with a docking-based virtual screening technique and in vitro experimental ***,we have constructed a QS-based drug-receptor interaction network,proposed a systematic framework including various drug-receptor-microbe-disease connections,and mapped a paradigmatic circular interaction network based on the QS-DMD,which can provide the underlying QS-based mechanisms for the reported causal *** QS-DMD will promote an understanding of personalized medicine and the development of potential therapies for diverse *** work contributes to a paradigm for the construction of a molecule-receptor-microbe-disease interaction network for human health that may form one of the key knowledge maps of precision medicine in the future.

关键词： quorum sensing drugs microbe-disease association microbe-host interaction gut microbiota personalized medicine

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OWASP-Based Assessment of Web Application Security 18

OWASP-Based Assessment of Web Application Security

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18th IEEE International Conference on Emerging Technologies, ICET 2023

作者： Khanum, Aisha Qadir, Sana Jehan, Seema School of Electrical Engineering & Computer Science National University of Sciences and Technology Islamabad Pakistan Zaheen Systems National Science and Technology Park Islamabad Pakistan

ISBN: (纸本)9798350328172

Inadequate vulnerability assessment of web applications during the Software Development Life Cycle (SDLC) leads to security breaches posing a severe threat to digital transformation of businesses processes. Recently, Open Web Application Security Project (OWASP) augmented its list of common vulnerabilities found in web applications. In addition, they also provide Top 10 guidelines to help developers identify and eliminate these vulnerabilities. This study aims at evaluating the effectiveness of suggested guidelines in 70 web applications using the OWASP Zed Attack Proxy tool along with pre- and post-implementation analyses of cheat sheets on an enterprise-level web application. We observed that ranking categories in the Top 10 is not solely determined by frequency. Moreover, vulnerabilities in the Website X Division Head's portal reduced by 68.75% as a result of the cheat sheet analysis. In addition, the improvement was also significant in the Recruiter's portal (63.63%) whereas the reduction in the Candidates' portal's number of vulnerabilities was only 12.5%. The results suggest that cheat sheets can effectively address a number of web application vulnerabilities. However, additional measures such as S-SDLC and manual validation are needed for enhanced security of web applications. © 2023 IEEE.

关键词： Application programs

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Developing Autonomous Communications systems to Enhance Network Security 15

Developing Autonomous Communications Systems to Enhance Netw...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Gowrishankar, J. Chaudhary, Pavan Sikka, Rishi School of Engineering and Technology Department of Computer Science Engineering Karnataka Bangalore India Maharishi University of Information Technology Maharishi University of Information Technology Uttar Pradesh India Sanskriti University Department of Electronics Uttar Pradesh Mathura India

ISBN: (纸本)9798350370249

The development of verbal exchange systems has up to date be a vital research up-to-date with the upward push of latest styles of computing networks. Independent conversation systems offer the ability up to date updated network security via supplying comfortable and reliable conversation channels among or extra entities. Such structures depend upon machine gaining knowledge of algorithms updated understand and respond up to date network traffic up to date updated facilitate proactive security measures. With the creation of algorithms operating on the whole gadget, up-to-date communique systems can locate and deal with protection problems as fast as they stand up. Additionally, allotted consensus algorithms can be leveraged up to date make certain that security features across the whole network are consistent. In the end, the improvement of self-sufficient conversation systems can offer improved levels of scalability, because the community size may be adjusted dynamically up-to-date new computing necessities. By means of improving the security of community communications, self-sustaining updated verbal exchange structures can help protect cusupupdated and their statistics whilst paving the manner for the improvement of increasingly more sophisticated and relaxed networks. © 2024 IEEE.

关键词： Comfortable Communications Community Conversation Exchange Improvement

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Spectral Signature Analysis of Land Sat TM Images for Improved Hyper Spectral Image Analysis

Spectral Signature Analysis of Land Sat TM Images for Improv...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Abhinav Adlin Jebakumari, S. Singh, Shweta Vivekananda Global University Department of Agriculture Jaipur India Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350383348

Spectral signature analysis of Land sat TM pics offers the capability for stepped-forward spectral evaluation of hyperspectral pictures. This approach is based on the capacity to discover capabilities in a scene correctly. The spectral signatures of a given scene are used to distinguish and classify features like land cowl kinds., for example., vegetation., rock, and guy-made features. This type of evaluation is accomplished in steps. First., Landsat TM information is used to create a map of spectral signatures for every scene. Then, algorithms are used to detect and discover those spectral signatures within the photo, which might be used to classify functions accurately. The benefit of this evaluation is that it permits for correct classification of various land cover sorts and different capabilities in a scene, even if one-of-a-kind spectral bands are used. In addition, generating multispectral layers is viable, which can benefit interpretation on a bigger scale. This talent in the land cover category makes spectral signature analysis of Landsat TM snapshots a vital tool for land use and mapping. Spectral Signature analysis of Land sat TM snapshots for advanced HyperSpectral image evaluation makes a specialty of applying a spectral analysis of satellite photographs to extract better and examine the photos' spectral information. It's miles executed via reading and processing the photograph's spatial, spectral, and radiometric properties. The spectral signature of a Land sat TM is calculated using an aggregate of algorithms that discover the primary homes of a Land sat TM image, such as spatial resolution, wavelength coverage, spectral resolution, and radiometric decision. The spectral signature of the photo is then used to extract character spectral signatures, classify and extract the land cowl properties, and then examine the photograph. The consequences of the analysis can then be used to enhance the performance of hyperspectral photo evaluation. This era can be

关键词： capabilities distinguish evaluation Signature spectral

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Shortest Job First with Gateway-based Resource Management Strategy for Fog Enabled Cloud Computing 4

Shortest Job First with Gateway-based Resource Management St...

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4th IEEE International Conference on Data engineering and Communication systems, ICDECS 2024

作者： Anbazhagan, K. Kumar, Rotash Thilagavathy, R. Anuradha, D. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Chennai India Government Engineering College Department of Electronics and Communication Engineering Rajasthan Jhalawar India College of Engineering and Technology Srm Institute of Science and Technology Kattankulathur Department of Computing Technologies Chennai India Panimalar Engineering College Department of Computer Science and Business Systems Chennai India

ISBN: (纸本)9798350393354

In recent years, fog computing has extended cloud services to the network edge, lowering network latency and congestion and overcoming cloud computing restrictions. Many hurdles, however, must be overcome before the benefits of the fog-IoT paradigm for low-latency applications can be completely realized. The most challenging difficulty in IoT applications is developing efficient resource management strategies that maximize throughput while minimizing delay. IoT and fog computing, rather than simply utilizing cloud computing technology, have brought intriguing new data management solutions. Fog computing makes real-time analytics applications conceivable. After combining fog computing technologies with Internet of Things (IoT) applications, the system can reply in milliseconds. Existing fog resource managers focus on a subset of fog resource management parameters such as system response time, network bandwidth, energy consumption, and latency. No Fog resource management takes multiple factors into account at the same time for decision-making, which will become increasingly crucial in intelligent homes. Gateway-based Fog Computing pioneered the introduction of the shortest job (SJFGFC) to address these difficulties. The technique is validated in an IoT-based imaginative house automation scenario before being evaluated in a small-scale bright home experiment using the iFogSim toolbox and empirical models. © 2024 IEEE.

关键词： Fog computing

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An Intelligent Deterministic Scheduling Method for Ultralow Latency Communication in Edge Enabled Industrial Internet of Things

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IEEE Transactions on Industrial Informatics 2023年第2期19卷 1756-1767页

作者： Lu, Yinzhi Yang, Liu Yang, Simon X. Hua, Qiaozhi Sangaiah, Arun Kumar Guo, Tan Yu, Keping School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China Advanced Robotics and Intelligent Systems Laboratory School of Engineering University of Guelph GuelphONN1G2W1 Canada Computer School Hubei University of Arts and Science Xiangyang441000 China Future Technology Research Center National Yunlin University of Science and Technology Douliu City64002 Taiwan Graduate School of Science and Engineering Hosei University Tokyo184-8584 Japan Riken Center for Advanced Intelligence Project Riken Tokyo103-0027 Japan

Edge enabled Industrial Internet of Things (IIoT) platform is of great significance to accelerate the development of smart industry. However, with the dramatic increase in real-time IIoT applications, it is a great challenge to support fast response time, low latency, and efficient bandwidth utilization. To address this issue, time sensitive network (TSN) is recently researched to realize low latency communication via deterministic scheduling. To the best of our knowledge, the combinability of multiple flows, which can significantly affect the scheduling performance, has never been systematically analyzed before. In this article, we first analyze the combinability problem. Then, a noncollision theory based deterministic scheduling (NDS) method is proposed to achieve ultralow latency communication for the time-sensitive flows. Moreover, to improve bandwidth utilization, a dynamic queue scheduling (DQS) method is presented for the best-effort flows. Experiment results demonstrate that NDS/DQS can well support deterministic ultralow latency services and guarantee efficient bandwidth utilization. © 2005-2012 IEEE.

关键词： Bandwidth

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