检索结果-内蒙古大学图书馆

4th International Conference on Signal Processing and Communication, ICSPC 2023

作者： Thomas, Vibha Terence, Sebastian Agrawal, Bishnu Immaculate, Jude Karunya Instittue of Technology and Sciences Dept. of Computer Science and Engineering Coimbatore India Sales - Mcaps Microsoft Technology Center Bangalore India Karunya Institute of Technology and Sciences Dept. of Mathematics Coimbatore India

ISBN: (纸本)9798350300772

The Internet of Things (IoT) is a global network of 'smart gadgets' that can sense their environment, connect to them, and communicate with people and other systems. This articles presents an IoT control center that provides a comprehensive solution for managing and controlling Io devices in a network. The control center offers a user-friendly interface that enables administrators to monitor and control a wide range of devices, from a single dashboard. The IoT control center uses machine learning algorithms to analyze real-time data, enhancing device performance. The IoT Control center also ensures the security of the devices and the data they generate, with the capability to identify anomalies and suspicious activity in real-time. The IoT control center in this paper emphasizes on two main use-cases namely, Smart Agriculture System, Spatial Analysis, but isn't confined to just these two use cases, in fact, proselytizes as many use cases possible into a single control center. The system provides a centralized interface for administrators to monitor, analyze and automate connected devices, enabling efficient and effective device management. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Revolutionizing Campus Exploration with GikiLenS: A Deep Learning-Powered Object Detection App 18

Revolutionizing Campus Exploration with GikiLenS: A Deep Lea...

引用

18th IEEE International Conference on Emerging Technologies, ICET 2023

作者： Mueed, Iqra Arshad, Usama Ali, Raja Hashim Gik Institute of Engg. Sciences & Technology Faculty of Computer Science & Engineering Topi Pakistan University of Europe for Applied Sciences Dept. of Technology & Software Engineering Berlin Germany

ISBN: (纸本)9798350328172

For newcomers and tourists, navigating university campuses can be difficult, resulting in aggravation and lost time. We respond by introducing 'GikiLenS', an object identification application driven by deep learning that revolutionizes campus exploration by accurately identifying buildings and landmarks while enhancing user experience. GikiLenS is a comprehensive and user-friendly smartphone application that precisely caters to the demands of newcomers and visitors, unlike previous studies in campus navigation. Our study intends to close this gap and develop a reliable method for identifying campus buildings, optimizing navigation, and enhancing user experience. Through rigorous testing, GikiLenS has proven to have remarkable real-time building detection accuracy, highlighting its potential as an important tool for campus exploration. The app's outcomes and conclusions demonstrate how well it works to give users specific building information, promoting a more knowledgeable and enjoyable campus experience. The importance of our findings lies in the development of a unique, user-centered app that offers a cutting-edge method of campus mobility. Our contribution consists of a game-changing method for building detection that improves campus exploration and user pleasure. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

AAF-SCM: An Authenticated Framework for Supply Chain Management

AAF-SCM: An Authenticated Framework for Supply Chain Managem...

引用

Intelligent Systems and Advanced Applications (ICISAA), International Conference on

作者： Prince Roy Rajneesh Kumar Md Neaz Morshed Dept. of Applied Computer Science Fairleigh Dickinson University Dept. of Computer Science & Engineering Maharishi Markandeshwar (Deemed to be University)

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

The process of a supply chain involves a series of activities that distribute, assemble, and manage products, transferring them from the supplier to the end consumer. It operates as a complex, interconnected network regulated by supply and demand. Security in supply chain management is a crucial aspect of its overall security measures, focusing primarily on maintaining essential end-to-end protection. Without this, several attacks can be used to manipulate data and valuable information from the entire chain of networks. This paper explains how encrypted intermediates can secure the entire SCM by validating each intermediate using public-private key encryption. We also demonstrate and assess how the proposed AAF-SCM model can aid in tracing security breaches or unauthorized data tampering. We also validate this model against nefarious attacks like Fabrication, Assertion, Deletion, and Modification. Finally, we propose opportunities to develop innovative systems that enhance security through intermediary steps.

关键词： Fabrication Supply chain management Supply and demand Supply chains Focusing Data models Encryption Protection Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

Diving into Brain Complexity: Exploring Functional and Effective Connectivity Networks 18

Diving into Brain Complexity: Exploring Functional and Effec...

引用

18th IEEE International Conference on Emerging Technologies, ICET 2023

作者： Siddique, Abu Bakar Khalid, Hassan Bin Ali, Raja Hashim University of Europe for Applied Sciences Dept. of Technology & Software Engineering Berlin Germany Gik Institute of Engg. Sciences & Technology Faculty of Computer Science & Engineering Topi Pakistan

ISBN: (纸本)9798350328172

The human brain's intricate functions are under-pinned by a vast network of synapses that enable chemical impulses between neurons. Neuroscientists employ two key approaches, functional and effective connectivity, to understand the brain's complexity, focusing on its operations, cognition, and behavior. While both methods utilize graph theory for network analysis, functional connectivity, which investigates associated brain activity, has seen more substantial research efforts than effective connectivity, which examines information processing's inter-regional impacts. In this research paper, we aim to present an extensive examination of the emerging discipline that combines graph theory with the analysis of brain characteristics, shedding light on how these characteristics arise from the interactions among different groups of neurons. Our primary focus lies in exploring the diverse cognitive and neurological applications that leverage functional Magnetic Resonance Imaging (fMRI) as a tool. Additionally, we offer a comprehensive overview of the methods employed to construct brain networks based on functional and efficient connections. Throughout the discussion, we emphasize the advantages and limitations associated with these approaches. © 2023 IEEE.

关键词： Graph theory

来源：评论

学校读者我要写书评

暂无评论

Smart Healthy Schools: An IoT-enabled concept for multi-room dynamic air quality control

引用

Internet of Things and Cyber-Physical Systems 2024年第1期4卷 24-31页

作者： Zivelonghi, Alessandro Giuseppi, Alessandro Dep. of Applied Mathematical Science IIS "Calabrese-Levi" VR San Pietro in Cariano Italy PowerConsulting Studio San Pietro in Cariano Verona Italy Dept. of Computer Control and Management Engineering University of Rome "La Sapienza" Via Ariosto 25 Rome00185 Italy

Smart Healthy Schools (SHS) are a new paradigm in building engineering and infection risk control in school buildings where the disciplines of Indoor Air Quality (IAQ), IoT (Internet of Things) and Artificial Intelligence (AI) merge together. In the post-pandemic era, equipping schools with a network of smart IoT sensors has become critical to aspire for the optimal control of the IAQ and lowering the airborne infection risk of several pathogens, indirectly related to cumulated human emitted CO2 levels over time. Thermal energy waste in winter due to improved air renewal remains of major concern but can be well monitored within a SHS monitoring architecture thanks to the flexibility of the LoRaWAN protocol able to process also a large amount of energy and climatic data at room and building scale. In this work, we report the design of the AulaSicura platform, an IoT control system co-designed by the main author and Gizero Energie to implement the SHS paradigm via clearly visible (and audible) alarm signalling in existing and new school buildings. The cloud-based LoRa system is capable of continuous and simultaneous monitoring of a variety of sensors and IAQ parameters including indoor/oudoor temperatures, rel. humidities and human-emitted excess CO2. The multi-room monitoring concept of indoor-CO2 levels allows centralized control of natural ventilation levels in individual classrooms and can handle (quasi)-real-time data, relevant for data post-processing and future developments in (quasi)-real-rime assessment of IAQ and infection risk levels at single room scale. The sensor network is also extensible to up to one thousand of classrooms per LoRa-node allowing centralized control of entire school districts at an urban scale. Moreover, through Modbus-LoRa I/O converters, AulaSicura can also control the same amount of mechanical ventilation units per node either in pure or hybrid mechanical ventilation modes. © 2023 The Authors

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

ML-based Digital Twin for anomaly detection: a case-study on Turtle soccer robots 49

ML-based Digital Twin for anomaly detection: a case-study on...

引用

49th Euromicro Conference on Software engineering and Advanced Applications, SEAA 2023

作者： Liu, Xingyu Van Den Brand, Mark Muctadir, Hossain Muhammad Van De Molengraft, Rene Eindhoven University of Technology Set Cluster Dept. of Mathematics & Computer Science Eindhoven Netherlands Eindhoven University of Technology Department of Mechanical Engineering Eindhoven Netherlands

ISBN: (纸本)9798350342352

In recent years, machine learning (ML) based digital twins (DTs) have seen widespread application in the anomaly detection domain. A search-based literature survey revealed that the majority of the case studies focus on large-scale systems (i.e., nuclear power plant, aerospace, and power grid) producing extensive data. Our work aims to investigate the performance of this technology in smaller-scale systems that generate less data. In this case study, we developed a ML-based DT of the mobility system, the omni wheels, of the Turtle soccer robots. The DT is capable of analyzing historical data collected from the physical robots and differentiating between damaged and undamaged wheels. Our experiments suggest that ML-based DT of small-scale systems is indeed capable of achieving relatively accurate results for anomaly detection use-cases. © 2023 IEEE.

关键词： Sports

来源：评论

学校读者我要写书评

暂无评论

BlockShield: A TPM-Integrated Blockchain-Based Framework for Shielding Against Deepfakes 32

BlockShield: A TPM-Integrated Blockchain-Based Framework for...

引用

32nd IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2024

作者： Bathalapalli, Venkata K. V. V. Kumar, Aakarshan Mohanty, Saraju P. Kougianos, Elias Yanambaka, Venkata P. University of North Texas. Dept. of Computer Science and Engineering United States University of North Texas. Texas Academy of Mathematics and Science United States University of North Texas Dept. of Electrical Engineering United States School of the Sciences Texas Woman's University United States

ISBN: (纸本)9798331539672

The increasing threat to individual privacy and personalized digital content on social media posed by Deepfakes has highlighted the importance for a secure and reliable multimedia content integrity mechanism. In this paper a novel Blockchain driven hardware secure video attestation scheme, BlockShield is proposed for Deepfake mitigation. The proposed system includes a novel approach that ensures digital content traceability and privacy using Blockchain smart contracts and TPM's digital signature mechanism. The proposed work explores the scope of hardware-assisted security for Deepfake mitigation through a hardware TPM working together with Blockchain for enhanced digital media protection and sharing. The proposed work is experimentally validated and presented which validates the scope of hardware-assisted and blockchain integrated Deepfake mitigation framework. © 2024 IEEE.

关键词： Differential privacy

来源：评论

学校读者我要写书评

暂无评论

On Optimizing MEC Enabled Monitoring Systems 19

On Optimizing MEC Enabled Monitoring Systems

引用

19th International Asian School-Seminar on Optimization Problems of Complex Systems, OPCS 2023

作者： Shakhov, Vladimir Koo, Insoo Sokolova, Olga University of Ulsan Electrical Electronic and Computer Engineering Dept. Ulsan Korea Republic of Institute of Computational Mathematics and Mathematical Geophysics Sb Ras Novosibirsk Russia

ISBN: (纸本)9798350331134

In recent years, the use of sensor networks has grown very much, a large number of sensors are being introduced everywhere, which are used for various purposes - for example, monitoring the state of the air. In this article, we have described a proposal for IoT-based monitoring systems. Given the imperfection of the sensors, that is, the inaccuracy of measurements, it is necessary to optimize some parameters. The paper proposes a method for optimizing the threshold number of sensors that can detect an event of interest. This threshold-based detection scheme acts as a local decision-making mechanism and is used to implement the concept of multi-access computing. In turn, multi-access edge computing allows data from sensors to be processed close to users. This reduces system latency, provides faster analysis and immediate response to changing environmental conditions, reduces the amount of data transferred, and improves system security. We mainly consider air quality monitoring systems. However, the application range of the presented results is much wider. © 2023 IEEE.

关键词： Edge computing

来源：评论

学校读者我要写书评

暂无评论

Closed-Form Outage Probability and Ergodic Capacity Expressions for Best Relay Selection Scheme Over Generalized Fading Channels

Closed-Form Outage Probability and Ergodic Capacity Expressi...

引用

2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023

作者： Matalgah, Mustafa M. Alqodah, Mohammed A. Al-Sharadqah, Ali A. University of Mississippi Dep. of Electrical & Computer Engineering MS United States California State University Dept. of Mathematics NorthridgeCA United States

ISBN: (纸本)9798350337822

Closed-form expressions for outage and capacity in cooperative diversity best-relay selection scheme are known in literature only for the special case of Rayleigh fading channels. In this paper, we consider the best-relay selection scheme and derive new generalized expressions for the cumulative probability distribution function (CDF) and the probability density function (PDF) of the SNR of the relayed signal at the destination node, which are valid for any fading channel model. We use the obtained generalized CDF and PDF expressions in deriving closed-form expressions for the outage probability and the ergodic capacity for the best-relay selection scheme in generalized fading channel models. We also show that the obtained generalized expressions can reduce to the special case expression of Rayleigh fading that are known in literature. Furthermore, we consider other special cases of fading channels, namely Nakagami-m and Weibull fading channel models, and derive expressions that have not been reported in literature before. Numerical results and simulations are provided to verify the validity of our derived expressions. © 2023 IEEE.

关键词： Probability density function

来源：评论

学校读者我要写书评

暂无评论

An Overview of Real-Time Electricity Market and Green Energy Trading in India

An Overview of Real-Time Electricity Market and Green Energy...

引用

2023 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2023

作者： Zacharias, Annu Mary Dikaiakos, Christos Anto, Robins University of London School of Mathematics Computer Science and Engineering City United Kingdom Indian Institute of Technology Dept. of Hydro and Renewable Energy Roorkee India

ISBN: (纸本)9798350331790

To manage the high load fluctuations arising from renewable energy integration, the Ministry of Power Govt. of India has launched real-time trading in the energy market. In this paper, we discuss the real-time market process, regulatory authorities, system balancing, prerequisites of RTM of India, and one of the prominent real-time energy markets in the world. The market process is based on bidding, and Indian market has a zone wised bidding system. In India, the energy is traded in two market platforms named Energy Exchange of India and Power Exchange of India Ltd. The energy market operations are unavoidably connected with the load dispatch centers as the market has to be cleared by considering the transmission corridor availability within the system. The power exchanges of India and the load dispatch centers are monitored and guided by the central electricity regulatory authority and Power Grid which is formerly known as the Power system operation corporation. The real-time power trading is done for 30 minutes, and the auction is open for 15 minutes, followed by market clearing after gate closure. In addition to the real-time market, this paper gives a brief overview of the green energy market window in Indian energy exchanges. © 2023 IEEE.

关键词： Renewable energy resources

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：