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7th International Conference on Communication and Electronics Systems, ICCES 2022

作者： Kumar, S. Pradeep Renukadevi, P. Suguna, M. Raja Jeyakumar, D. Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Cse Dept Chennai India Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur India R.M.K. College Engineering and Technology Computer Science and Engineering Chennai India Rajalakshmi Institute of Technology Department of Computer Science and Engineering Chennai India

ISBN: (数字)9781665496346

ISBN: (纸本)9781665496346

The Android platform is the primary leading operating system in the mobile phone market, followed by the iOS platform while the rest of the platforms have a negligible share in the mobile operating systems market. So, it's safe to say that android is the fastest growing mobile operating systems platform and creating an android application will be increasingly profitable. And so, the proposed system is a weather forecasting android application. This application shows weather forecasts while travelling, weather forecasts for tourist spots, weather news, weather forecasts for cities, and weather facts. User analyzed several weather forecasting android applications, and they came up with features which do not exist in those applications, and those features have been implemented in this work. Thus, the developed android application is aimed to help tourists, travelers, and common people. This submission also sends weather alerts and weather notifications. This application has numerous benefits such as accurate weather forecasts, adaptability and so on. © 2022 IEEE.

关键词： Weather forecasting

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Sonopharmacology:Regulation of drug activity through ultrasound

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Journal of Pharmaceutical Analysis 2024年第12期14卷 1732-1735页

作者： Wenjing Zhang Fangyin Song Zhiyuan Shi Xin Li Kuailu Lin Department of Breast Surgery The First Affiliated Hospital of Wenzhou Medical UniversityWenzhouZhejiang325015China Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals Zhejiang University of TechnologyHangzhou310014China School of Pharmaceutical Science and Technology Faculty of MedicineTianjin UniversityTianjin300072China Department of Polymeric Materials School of Materials Science and EngineeringTongji UniversityShanghai201804China

*** The introduction of photoswitches into the bioactive substances is the fundamental idea behind *** light irradiation,the drug activity can be spatiotemporally controlled by the photon-induced variety of photoswitch's structures or characteristics[1].However,some challenges are still faced in photopharmacology including phototoxicity and limited tissue penetration depth(about a few millimeters).

关键词： photoswitches sonopharmacology bioactive substances drug activity light irradiationthe phototoxicity introduction photoswitches ultrasound

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Edge-Cloud Computing Systems for Unmanned Aerial Vehicles Capable of Optimal Work Offloading with Delay 2

Edge-Cloud Computing Systems for Unmanned Aerial Vehicles Ca...

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2nd International Conference on Electronics and Renewable Systems, ICEARS 2023

作者： Narayana Tinnaluri, V.S. Vyankatesh Ghamande, Manasi Singh, Shashank Kuchipudi, Ramu Dattatraya Bhosale, Minakshi Dharani, R. Koneru Lakshmaiah Education Foundation Department of Computer Science Andhra Pradesh Vijayawada India Vishwakarma Institute of Information Technology Engineering and Applied Sciences Pune411037 India Integral University Lucknow Department of Computer Science and Engineering Uttar Pradesh India Chaitanya Bharathi Institute of Technology Department of Information Technology Telangana Hyderabad India Faculty of Mca Yashoda Technical Campus Satara Maharashtra Wadhe India M. Kumarasamy College of Engineering Department of Computer Science and Business Systems Tamilnadu Karur India

ISBN: (纸本)9798350346640

Mobile terminals' limited processing power and memory make it challenging to meet the needs of increasingly complex applications like autonomous vehicles and augmented reality. That's why there's been a rise in the demand for edge cloud computing power from endpoint gadgets. Due to its adaptability and proximity to the user, an unmanned aerial vehicle (UAV) may be used to support mobile edge computing (MEC) via job offloading, potentially relieving strain on edge clouds. Due to limitations in processing power and battery life, Unmanned Aerial Vehicles (UAV) devices face a huge issue with the rise of Applications and services for mobile devices that can't afford to be delayed and that need a lot of processing power. Task offloading is one way that mobile cloud computing may help you get around these restrictions. The biggest difficulties with this paradigm, however, are the significant latency and security concerns. The edge-cloud computing model was then proposed and has since seen widespread adoption as a means of dealing with these complications. However, the present task offloading models allow UAVs to perform their heavy jobs at the linked edge server, leading to unnecessary loads owing to the huge amount of UAVs and, in turn, increasing the latency. For this reason, this study has presented a delay-optimal task offloading strategy for multi-tier edge-cloud computing with many users. In this research, a system model has been proposed to assist an intelligent and perceptive agent in determining the best computational offloading strategy, minimizing both the time it takes to complete a job and the amount of power it needs to do so. The efficacy of an agent was shown, and simulation results revealed that its adoption may greatly cut delay and energy usage. © 2023 IEEE.

关键词： Mobile edge computing

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Absorptive Microwave Filters: From Narrowband to Wideband Operation

Absorptive Microwave Filters: From Narrowband to Wideband Op...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Jiaqian Cui Lei Zhu Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau Macau China

ISBN: (数字)9798350355581

ISBN: (纸本)9798350355598

This paper presents a method to control the out-ofband performance of absorptive filters in both narrowband and wideband cases. To verify the method, a narrowband absorptive filter is designed with wideband matching, and a wideband one is proposed to achieve an infinite low-reflection range. Finally, the narrowband filter is implemented in microstrip-line platform, not only attaining symmetrical geometry but also improving impedance-matching performance.

关键词： Resistors Microstrip filters Filters Simulation Prototypes Reflection Reflection coefficient Microwave filters Wideband Narrowband

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Design of receiver RF front end for mm-Wave 5G applications 21

Design of receiver RF front end for mm-Wave 5G applications

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21st International Learning and technology Conference, L and T 2024

作者： Hussein, Aziza I. Alamoudi, Nora Ali, Mirna Zakaria, Ahmed Mourad Mabrook, M. Effat University College of Engineering Energy and Technology Research Center Saudi Arabia Effat University Electrical and Computer Engineering Department Jeddah Saudi Arabia Telecom Egypt Telecommunication Engineer Asyut Egypt Beni-Suef University Faculty of Navigation Science & Space Technology Space Communication Dept. Egypt

ISBN: (纸本)9798350393569

Recently, the research emphasis has shifted towards 5G due to its potential to accommodate the increasing demand for data traffic, extensive interconnectivity of devices, and the emergence of numerous novel applications. Given the inadequacy of speed provided by spectrum resources in the lower frequency bands of 5G, a novel sub-generation utilizing millimeter wave frequencies has been introduced. The new sub-generation is called mm-wave 5G and provides higher bandwidth for faster speed and higher capacity. RF system architecture, circuits, and antenna innovation will be required to provide the requisite speed and capacity. In this paper the design challenges and trade-offs in RF front-end circuits and receiver sub-systems are discussed. Moreover, the massive multiple-input multiple-output (MIMO) techniques are examined. In addition, design, and simulation of key components in 5G mm-wave receiver, including the design of linear phased array antenna receiver and an analog-to-digital converter (ADC) is presented. Sigma-Delta (ΣΔM) Converters are a type of ADC with a technique that involves oversampling and shaping quantization noise to achieve a higher resolution which make it a best choice to be used in the design of the mm wave 5G communication applications. The proposed ΣΔM uses multistage architecture to provide high-order noise shaping and high resolution. The simulation results shows that the designed Cascade 2-2 MASH ΣΔ achieve a signal to noise ratio of 110(resolution of 16 bits). © 2024 IEEE.

关键词： Antenna phased arrays

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A study of the leverage effect in Bitcoin Conditional Heteroskedasticity prediction 10

A study of the leverage effect in Bitcoin Conditional Hetero...

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10th International Conference on Artificial Intelligence and Robotics, QICAR 2024

作者： Abarghouie, Masoud Omidvari Alizadeh, Sasan H. Khademzadeh, Ahmad Department of Computer Engineering Science and Research branch Islamic Azad University Tehran Iran Faculty of Information Technology Iran Telecommunication Research Center Tehran Iran Iran Telecommunication Research Center Tehran Iran

ISBN: (纸本)9798350348873

In today's world, countries establish large companies specifically designed to effectively manage the risks associated with volatility exchange rates and leveraged assets. Bitcoin is widely recognized as the leading cryptocurrency, making it highly appealing to investors and traders. The recorded data reveals a growing number of transactions conducted using Bitcoin cryptocurrency. Consequently, accurately predicting the volatility of Bitcoin's conditional heteroskedasticity holds significant importance for the financial markets. Cryptocurrencies present a challenging situation due to their complex dynamics, extreme observations, asymmetry, and various other non-linear features. Modeling these cryptocurrencies accurately becomes difficult using statistical models, as they fail to consider the leverage effect and provide precise predictions. In this paper, we have employed a hybrid modeling approach by utilizing MLP neural network and GARCH statistical model. The experiments conducted on Bitcoin time series data have yielded promising results, showcasing a notable reduction in the prediction error of conditional heteroskedasticity volatility. ©2024 IEEE.

关键词： Forecasting

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Development of a visual programming tool called SmrAI for function testing to mitigate the shortage of programming personnel in the manufacturing

Computer Software

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computer Software 2022年第4期39卷 61-74页

作者： Sugiyama, Ko-Ichiro Okuda, Satsuki Tanabe, Tsubasa Takao, Kouji Higashi, Hirohito Tanaka, Kazuaki Dept. of Information Engineering National Institute of Technology Matsue College Japan NIPPO Co. Ltd. Japan Ruby Programming Shounendan Japan Shimane IT Open-innovation Center Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Japan

We have developed a visual programming tool called SmrAI for function testing, and investigated whether wrapping existing source code with Scratch Blocks is an effective means of mitigating the shortage of programming personnel in the manufacturing. SmrAI is based on Smalruby, which can convert Scratch Blocks into Ruby code. In addition, SmrAI introduces two new sets of Blocks that wrap existing Ruby libraries for function testing. Since existing tools and libraries were utilized, the cost of developing SmrAI was low, and there were no changes in the function testing procedure. We conducted a verification test using staff members who were familiar with the function testing process but had little or no programming experience, and confirmed that they were able to program using SmrAI and that they had confidence in its business applications. These results are expected to contribute to the diversification and increase of programming personnel responsible for function test programming. © 2022 Japan Society for Software science and technology. All rights reserved.

关键词： Application programs

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A Novel-based Swin Transfer Based Diagnosis of COVID-19 Patients

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Intelligent Automation & Soft Computing 2023年第1期35卷 163-180页

作者： Yassir Edrees Almalki Maryam Zaffar Muhammad Irfan Mohammad Ali Abbas Maida Khalid K.S.Quraishi Tariq Ali Fahad Alshehri Sharifa Khalid Alduraibi Abdullah AAsiri Mohammad Abd Alkhalik Basha Alaa Alduraibi M.K.Saeed Saifur Rahman Department of Medicine Division of RadiologyMedical CollegeNajran UniversityNajran11001Saudi Arabia Department of Computer Science and Information Technology Ibadat International UniversityIslamabad44000Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran11001Saudi Arabia Department of Chemical Engineering PIEAS UniversityIslamabad44000Pakistan Department of Computer Science COMSATS University Islamabad(CUI)Sahiwal Campus57000Pakistan Department of Radiology College of MedicineQassim UniversityBuraydah52571Saudi Arabia Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajran11001Saudi Arabia Faculty of Human Medicine Zagazig University44631Egypt

The numbers of cases and deaths due to the COVID-19 virus have increased daily all around the *** X-ray is considered very useful and less time-consuming for monitoring COVID *** doubt,X-ray is considered as a quick screening method,but due to variations in features of images which are of X-rays category with Corona confirmed cases,the domain expert is *** address this issue,we proposed to utilize deep learning *** this study,the dataset of COVID-19,lung opacity,viral pneumonia,and lastly healthy patients’images of category X-rays are utilized to evaluate the performance of the Swin transformer for predicting the COVID-19 patients *** performance of the Swin transformer is compared with the other seven deep learning models,including ResNet50,DenseNet121,InceptionV3,EfficientNetB2,VGG19,ViT,CaIT,Swim transformer provides 98%recall and 96%accuracy on corona affected images of the X-ray *** proposed approach is also compared with state-of-the-art techniques for COVID-19 diagnosis,and proposed technique is found better in terms of *** system could support clin-icians in screening patients for COVID-19,thus facilitating instantaneous treatment for better effects on the health of COVID-19 ***,this paper can contribute to saving humanity from the adverse effects of trials that the Corona virus might bring by performing an accurate diagnosis over Corona-affected patients.

关键词： Biomedical systems chest X-ray images CNN COVID-19 swin transformer image processing

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Enhancing Web Security with a Blockchain-Powered Machine Learning Model for Predicting Malicious Web Domains 1

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7th International Conference on Intelligent Computing and Optimization, ICO 2023

作者： Yanqiu, Zeng Goyal, S.B. Rajawat, Anand Singh Solanki, Ram Kumar Chengyi University College Jimei University Xiamen361021 China Faculty of Information Technology City University Petaling Jaya46100 Malaysia School of Computer Science & Engineering Sandip University Nashik422213 India

ISBN: (数字)9783031733185

ISBN: (纸本)9783031733178

Introduction the purpose of this introductory section is to provide an overview of the topic at hand and set in the context of the dynamic and ever-changing digital era, the issue of web security continues to be of utmost importance, as rogue web domains pose substantial risks to both individuals and institutions. This study presents a novel methodology for addressing this issue by combining blockchain technology with machine learning techniques, notably employing the Support Vector Machine (SVM) and Principal Component Analysis (PCA), for the purpose of forecasting and categorizing malevolent internet domains. The proposed architecture leverages the decentralized and immutable characteristics of blockchain technology to ensure the integrity and reliability of the acquired web domain data. Furthermore, the utilization of the blockchain architecture enables the seamless exchange of data in real-time, resulting in a perpetually updated and resilient model. Principal Component Analysis (PCA) is utilized in order to decrease the dimensionality of the information, hence enabling more efficient processing and emphasizing the most pertinent features. As a result, the Support Vector Machine (SVM) is employed as the predominant predictive model owing to its established efficacy in addressing binary classification tasks. The findings from our experiment demonstrate that the SVM model, enhanced by blockchain technology and feature optimization using PCA, had greater performance in the identification of harmful domains when compared to conventional models. This was evident through a significant improvement in accuracy and a decrease in false positive rates. This technique not only enhances the robustness of web security infrastructure, but also showcases the possibility of integrating blockchain technology with machine learning algorithms to effectively tackle modern cyber threats. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Adversarial machine learning

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Cyber-Attack Prediction in Virtual IoT using Leveraging Mechanism 3

Cyber-Attack Prediction in Virtual IoT using Leveraging Mech...

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3rd International Conference on Smart Electronics and Communication, ICOSEC 2022

作者： Murthy, Garapati Sn Kavitha, V. Chandrasekar, V. Kumar, Dirisala J Nagendra Deivakani, M. Tamilarasan, T. Aditya College of Engineering Department of Computer Science & Engineering Andhra Pradesh Surampalem India S.A. Engineering College Department of Computer Science Engineering Tamil Nadu Chennai600077 India Saveetha Institute of Medical and Technical Sciences Simats School of Engineering Department of Computer Science Engineering Chennai India Vishnu Institute of Technology Department of Information Technology Andhra Pradesh Bhimavaram534202 India Psna College of Engineering and Technology Department of Electronics and Communication Engineering Tamil Nadu Dindigul624622 India Panimalar Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai600123 India

ISBN: (数字)9781665497640

ISBN: (纸本)9781665497640

Internet of Things (IoT) adoption grows in numerous industries, cyber-security threats utilising low-cost end-user devices increase, compromising IoT implementation in a variety of situations. To solve this issue, developing Software Defined Networking (SDN) and Network Function Virtualization (NFV)bring new safety accelerators, providing IoT network systems with the versatility needed to deal with theIoT security deployments. Here, honeynets may be strengthened with support for SDN and NFV, allowing them to be used in IoT applications and boosting security. They provide service for virtualization that replicate the setup of actual IoT networks so that intruders might be diverted from their intended target. © 2022 IEEE.

关键词： Cybersecurity

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