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IoT - Integrated Valet Parking for Shopping Malls and Retail Centers

IoT - Integrated Valet Parking for Shopping Malls and Retail...

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Sustainable Computing and Smart systems (ICSCSS), International conference on

作者： S. Priyadarshini G. Arunachalam R. Sarasu Sujatha M D. Muthukumaran M. Rajmohan Department of English Vinayaka Mission's Kirupananda Variyar Arts & Science College Vinayaka Mission's Research Foundation (Deemed To Be University) Salem Tamil Nadu India Department of Electronics and Communication Engineering Gnanamani College of Technology (Autonomous) Namakkal Tamil Nadu India Department of Spatial Informatics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Easwari Engineering College Chennai Tamil Nadu India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Electronics and Communication Engineering Hindustan Institute of Technology and Science Chennai Tamil Nadu India

ISBN: (数字)9798350379990

ISBN: (纸本)9798350391558

The increasing popularity of shopping malls and retail complexes in recent decades has made parking lot management a pressing concern. Congestion, customer irritation, and wasted space are common results of the status quo in parking management. An innovative approach, Internet of Things-Based Valet Parking, is presented in this system. Due to IoT -connected valet parking, shopping malls, and retail centers, valet parking is about to be upgraded. This advanced system combines sensor technologies, real-time data analytics, and automated valet services, all of which have significant advantages. It improves the convenience of shopping by maximizing available parking places and minimizing the time spent looking for one. The fundamentals of the IoT -connected Valet Parking system include using sensors in parking lots, data gathering and processing methods, and incorporating mobile apps for motorists' ease of access. It discusses this approach's possible environmental and economic benefits, including lower carbon emissions and more income for mall owners. The security and privacy of the customers' information is also considered. It examines the potential difficulties and restrictions to working around them. Implementing valet parking with the IoT presents several challenges, such as ensuring reliable sensors, secure data, a reliable system, and a difficult interface with current infrastructure.

关键词： Shape Scalability Urban areas Carbon dioxide Aerospace electronics Real-time systems Mobile applications

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Operational concepts of MPEG-4 H.264 for tactical DoD applications

Operational concepts of MPEG-4 H.264 for tactical DoD applic...

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MILCOM, Military Communications conference

作者： B. Bennett C. Dee Minh-Huy Nguyen B.A. Hamilton Defense Information Systems Agency Arlington VA Booz Allen Hamilton McLean VA

The global broadcast service (GBS) continually strives to provide optimized broadband dissemination of information to disadvantaged warfighter in the field. Limits in bandwidth availability, diversity of receive equipment, and an increase in information passed through GBS all facilitate a need for a more robust compression algorithm than the current MPEG-2 based system. MPEG-4 implements advanced video compression algorithms (ASP, H.264) to provide intelligent, managed, end-to-end video services for the deployed tactical warfighter using less bandwidth than current MPEG-2 encoders at Defense Information systems Network (DISN) sources and GBS satellite broadcast managers (SBM). MPEG-4 was designed to seamlessly enhance and eventually replace current MPEG-2 infrastructure by leveraging optimized bandwidth usage and encoding schemes. MPEG-4 H.264 uses a predictive encoding algorithm to provide content at up to 50% less bandwidth than required by MPEG-2 to deliver streaming video to the warfighter. This encoding method reduces bandwidth strain on terrestrial DISN circuits as well as satellite broadcast channels and increases the information delivery capacity of GBS content to tactical warfighters. Unmanned aerial vehicle (UAV) surveillance and reconnaissance programs increasingly need methods for optimally packaging and distributing information. MPEG-4 supports the collection, formatting, storage and dissemination of "raw" data through video management service (VMS) solutions. Authoring tool kit capabilities within the VMS can incorporate metadata extensions, including telemetry and sensor data, into broadcasted video steams. As the GBS expands its video content service offerings to remote end users, MPEG-4 should be implemented to maximize the limited transport layer bandwidth and optimally disseminate content from all sources to various end users across multiple domain platforms

关键词： MPEG 4 Standard Bandwidth Transform coding Video compression Satellite broadcasting Unmanned aerial vehicles Voice mail Robustness Compression algorithms Application specific processors

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Smart Algae Cultivation: IoT-Driven Incubators and Solar Energy for Sustainable Growth in Oman

Smart Algae Cultivation: IoT-Driven Incubators and Solar Ene...

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IEEE Asia-Pacific conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)

作者： Majan Abdullah Al Jahdhami Bilal Saoud Raees Khalid Abutaha Ayman A. El-Saleh Ibraheem Shayea Dept. Electronics and Communication Engineering College of Engineering A'Sharqiyah University (ASU) Ibra Oman Dept. Electrical Engineering Faculty of Sciences and Applied Sciences LISEA Laboratory University of Bouira Bouira Algeria Middle East College & Muscat Organic Materials Oman Dept. Electronics & Communications Engineering Faculty of Electrical and Electronics Engineering Istanbul Technical University (ITU) Istanbul Turkey

ISBN: (数字)9798331543105

ISBN: (纸本)9798331543112

The Internet of Things (IoT) plays a crucial role in simplifying life by connecting devices and systems to monitor and control various aspects of daily activities. In Oman, IoT has been integrated across multiple sectors to build a digitally advanced and sustainable nation, aligning with the country's vision of becoming a leader in smart technologies. This project, developed by a team of electronics and communications engineering, focuses on the innovative use of algae-a natural resource that is abundantly available in Oman. Algae can be harnessed for various applications, including food production, cosmetics, pharmaceuticals, and biofuels, offering a sustainable alternative to traditional resources. However, algae growth requires precise environmental conditions, including optimal temperature, humidity, light intensity, and nutrient levels. To address these challenges, the project proposes the use of IoT-enabled incubators, which can continuously monitor and regulate these parameters in realtime. By integrating sensors and smart control systems, the IoT incubators will ensure that algae are cultivated under ideal conditions, enhancing productivity and efficiency. Furthermore, the project will incorporate renewable energy sources, particularly solar power, to operate the system sustainably. This not only aligns with Oman's renewable energy goals but also reduces the ecological footprint of algae cultivation. Through this project, we aim to contribute to the diversification of Oman's economy by promoting sustainable practices and encouraging innovation in the use of natural resources. The proposed system exemplifies how IoT and renewable energy can combine to create a greener, more efficient future.

关键词： Temperature sensors Temperature measurement Natural resources Renewable energy sources Algae Solar energy Humidity sensor systems Internet of Things Intelligent sensors

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Revolutionizing Connectivity and Data Processing in IoT Ecosystems through Edge Computing

Revolutionizing Connectivity and Data Processing in IoT Ecos...

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Recent Advances in Science and Engineering Technology (ICRASET), International conference on

作者： V Sheeja Kumari N. Muthuvairavan Pillai P.Jesu Jayarin D. Beulah David J.S. Jenin Department of Computational Intelligence Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Thandalam Chennai Tamil Nadu India Department of Computer Science and Business Systems R.M.D Engineering College Thiruvallur Tamil Nadu India Department of Information Technology Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Thandalam Chennai Tamil Nadu India Department of Electronics and Communication Engineering CARE College of Engineering Trichy Tamil Nadu India

ISBN: (数字)9798350388602

ISBN: (纸本)9798350388619

This work, which explores the performance of the existing five IoT sensor classification algorithms and develops five more algorithms, intends to later compare the obtained classification accuracies. In this evaluation, the algorithms included are Decision Tree, Random Forest, K-Nearest Neighbors, Support Vector Machine, and Naive Bayes, while the proposed ones are called EdgeNet, IoTBoost, EdgeSVM, DeepEdge, and EdgeFusionNet. The performances are evaluated using the key measures of precision and processing time. Results show that the algorithms under study are usually more accurate than well-known ones, with EdgeFusionNet reaching 94% accuracy which is the highest accuracy. In the selection of algorithms, existing ones show different performance but the Decision Tree and Naive Bayes demonstrate relatively faster processing times compared to the Random Forest and the Support Vector Machine. Yet, the proposed EdgeSVM algorithm shows almost the fastest processing time which exceeds Zokfl2 and other algorithms onference. On top of that, extra measures comprise memory usage, energy efficiency, scalability, model size, and robustness are evaluated for the suggested algorithms. Thus, the results may be inferred that the suggested algorithms provide the advanced solutions for the IoT sensor data classification, that have higher accuracy and comparable or better time complexity in comparison with the existing ones. These outcomes give useful information for researchers as well as technicians that using IoT techniques for the sake of various applications purposes.

关键词： Support vector machines Accuracy Scalability Memory management Ecosystems Robustness Classification algorithms Internet of Things Decision trees Random forests

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A Secure IoT Framework for Remote Health Monitoring Using Fog Computing

A Secure IoT Framework for Remote Health Monitoring Using Fo...

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Intelligent Computing, Communication, Networking and Services (ICCNS), International conference on

作者： Alaa Harasees Bilal Al-Ahmad Anas Alsobeh Abdullah Abuhussein Computer Information Systems The University of Jordan Jordan Computer Science and Information Technology Saint Cloud State University Minnesota USA Infortmation Technology Southern Illinois University Carbondale Carbondale IL USA

ISBN: (数字)9798350354690

ISBN: (纸本)9798350354706

This paper presents a secure IoT framework for remote health monitoring using fog computing, tailored for the Jordanian healthcare context. The proposed Remote Health System (RHS) addresses critical challenges in healthcare IoT applications, including latency, security, and bandwidth consumption. By integrating IoT wireless sensor networks with fog and cloud computing, our framework overcomes limitations prevalent in cloud-only solutions. The architecture leverages fog computing layers to provide local storage, real-time data processing, and preliminary analysis, acting as decision-makers and security checkpoints before relaying data to the cloud for complex functions. We incorporate advanced threat detection mechanisms and secure protocols to protect sensitive health data throughout its lifecycle. The performance and security of the proposed framework were evaluated using FogNetSim++ and OMNeT++ 4.6 simulations. The paper uses fog security and ZigBee communication protocols which implemented in the proposed framework. Results demonstrate the system's ability to reduce latency, energy consumption, and end-to-end delay while maintaining high security levels. CPU usage, memory consumption, and end-to-end delay were analyzed for various node configurations. The framework shows promise in enhancing healthcare delivery in Jordan, particularly in remote and underserved areas, by leveraging the strengths of IoT, fog computing, and cloud infrastructure. This work contributes to the evolving landscape of e-health systems in Jordan, by proposing a scalable, efficient, and secure solution that addresses the unique challenges of the country's healthcare sector.

关键词： Cloud computing Protocols Scalability Prototypes Medical services Delays Internet of Things Security Monitoring Edge computing

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Smart Motor Analytics: Real-Time Internal and External Parameters Identification Through IoT

Smart Motor Analytics: Real-Time Internal and External Param...

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Computational Intelligence for Green and Sustainable Technologies (ICCIGST), International conference on

作者： Kapu V Sri Ram Prasad T. Mrudhula J. Ooha Rani Sharma Y. Jyothi K. Vimala Department of Electrical & Electronics Engineering Vignan’s Institute of Engineering for Women Kapujaggarajupeta Visakhapatnam Andhra Pradesh

ISBN: (数字)9798350381887

ISBN: (纸本)9798350381894

In recent years, the industrial revolution and rotary machinery have been widely used in a variety of fields all over the world. Among them, induction motors are crucial because of their affordability, easy maintenance, and flexible operating conditions. Various faults are observed in electrical machines due to the deterioration of parts like stators, rotors, insulation, and bearings. Failures in the motors would cause heat, vibrations, a rise in energy consumption, and reduced life. Consequently, it becomes crucial to identify faults and monitor the status of induction motors. The Internet of Things (IoT) is an advanced approach to meet Industry 5.0 needs which aims to enhance the industrial environment. The use of IoT in applied electrical systems and machinery has increased. This research suggests a novel IoT architecture that will enable safe and dependable online induction motor status monitoring, through the Blynk platform interface. Industrial processes have entirely relied on the IoT to prevent failures in machines. Various parameters of an induction motor are monitored by using sensors connected to the motor with a Wi-fi module. The Wi-Fi module in the system allows it to send sensor data to the cloud for recording and analysis. This system allows real-time monitoring of parameters from anywhere in the world using a mobile phone or computer. This approach optimizes energy consumption with regular turn-on and turn-off 24/7. Using IoT applications can improve productivity, efficiency, and reduce breakdown time. The proposed work reduces the manpower in emergency operations, ensuring motor control and equipment safety.

关键词： Temperature sensors Temperature measurement Induction motors Rotors Real-time systems sensors Internet of Things Circuit faults Monitoring Wireless fidelity

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KOKON - Automotive High Frequency Technology at 77/79GHz

KOKON - Automotive High Frequency Technology at 77/79GHz

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37th European Microwave conference (EUMC 2007), vol.4

作者： Robert Schneider Hans-Ludwig Blocher Karl M. Strohm Daimler Chrysler Group Research and Advanced Engineering GR/EAP Ulm Germany

In future all automotive long and short range radar systems in Europe have to operate in the frequency range 76-81 GHz due to the European radar frequency regulation. For the development of future low-cost, high-performance and highly reliable radar systems the joint project KOKON was initiated. This contribution introduces the objectives of KOKON and presents current results achieved including sensor specification with respect to automotive applications, chip technology development, and realization of first sensor prototypes.

关键词： Automotive engineering sensor systems sensor phenomena and characterization Ultra wideband radar Radar cross section Radio spectrum management Europe Frequency control Prototypes Safety

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Scheduling algorithm in a point-to-multipoint broadband wireless access network

Scheduling algorithm in a point-to-multipoint broadband wire...

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IEEE conference on Vehicular Technology (VTC)

作者： W.K. Wong H. Tang Shanzeng Guo V.C.M. Leung Communications Rcscarch Centre Ottawa ONT Canada Department of System Computer Engineering Carleton University Ottawa ONT Canada Department of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada

Point-to-multipoint broadband wireless access (BWA) is an attractive solution to provide advanced data services to users who do not have easy access to wireline data services. However, BWA will need to support delay sensitive services as users and applications are becoming increasingly sophisticated. Wireless packet scheduling is an important part of quality-of-service (QoS) provisioning in BWA. The biggest difficulty in wireless packet scheduling is the location-dependent channel errors. Channel condition independent fair scheme (CIF) (T.S. Eugene, et al., March 1998) uses explicit leading/lagging approach to compensate for the erroneous channel state, but is not able to satisfy both rapid convergent guaranteed throughput and fairness. In this paper, we propose to use the token bank fair queuing (TBFQ) scheduling algorithm as a QoS provisioning mechanism for an asymmetric broadband point-to-multipoint wireless LAN. We consider the throughput and fairness performance of TBFQ under location-dependent channel error condition with variable packet length. This work is an extension of our previous work in applying TBFQ in next generation cellular networks.

关键词： Scheduling algorithm Intelligent networks Wireless networks Wireless sensor networks Delay Wireless LAN Throughput Web and internet services Mobile communication Sociotechnical systems

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The impact of SARA for further advances in Automotive Microwave Sensing

The impact of SARA for further advances in Automotive Microw...

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37th European Microwave conference (EUMC 2007), vol.4

作者： Gerhard Rollmann Hans-Ludwig Bloecher GR-Consulting Tamm Germany Group Research & Advanced Engineering DaimlerChrysler Aerospace Ulm Germany

During the next years, the number of wireless sensor and communication systems used in cars for ubiquitous applications will increase significantly. The operational frequencies will span from the Low Frequency range (9kHz) up to the mmWave (79GHz) range, the bandwidth from narrowband band to Ultra-Wide Band (UWB). Increasingly, however, the electromagnetic spectrum represents a scarce natural resource of strategic national socio-economic importance. Careful international spectrum engineering and regulation is required, in order to ensure coexistence between existing and planned services. Automotive applications traditionally have used free and unlicensed ISM (Industrial, Scientific, Medical) bands, which will be overcrowded in the future. Therefore, the automotive industry needs dedicated frequency allocations for future applications. UWB is one of the most promising new concepts for automotive applications. The SARA (Short range Automotive Radar frequency Allocation) group was founded by the automotive industry in 2001, a newcomer in the field of frequency management SARA's activities focused on international frequency regulation and standardization of UWB automotive short range radar (SRR) for advanced driver assistance and safety applications. As a result of successful SARA activities, the market introduction of these sensors started with the Mercedes-Benz S-class in 2005, followed by BMW's introduction of SRR in 2007 in the 5-series. The SARA group has expanded the focus of its activity from UWB SRR to general frequency needs for automotive radar. With this new focus, SARA has become the Strategic Automotive Radar Frequency Allocation group. This contribution gives an overview on actual and planned wireless sensing systems used in cars and on the necessary spectrum resources for the technologies to be applied. Finally, the current and planned activities of the SARA group are outlined.

关键词： Automotive engineering Radio spectrum management Frequency Wireless sensor networks Automotive applications Ultra wideband radar Wireless communication sensor systems and applications Bandwidth Narrowband

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Towards nanoreliability of CNT-based sensor applications: Investigations of CNT-metal interfaces combining molecular dynamics simulations, advanced in situ experiments and analytics

Towards nanoreliability of CNT-based sensor applications: In...

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Thermal, Mechanical and Multiphysics Simulation and Experiments in Micro-Electronics and Micro-systems EuroSimE

作者： Steffen Hartmann Alexey Shaporin Sascha Hermann Jens Bonitz Marc Heggen Peter Meszmer Heinz Sturm Ole Hölck Thomas Blaudeck Stefan E. Schulz Jan Mehner Thomas Gessner Bernhard Wunderle Technische Universität Chemnitz Chemnitz Germany Forschungszentrum Jülich GmbH Ernst Ruska-Centrum und Peter Grünberg Institut Jülich Germany Bundesanstalt für Materialforschung und -prüfung Berlin Germany Fraunhofer IZM Berlin Berlin Germany Fraunhofer ENAS Chemnitz Chemnitz Germany

In this paper we present results of our recent efforts to understand the mechanical interface behaviour of single-walled carbon nanotubes (CNTs) embedded in metal matrices. We conducted experimental pull-out tests of CNTs embedded in Pd or Au and found maximum forces in the range 10-102 nN. These values are in good agreement with forces obtained from molecular dynamics simulations taking into account surface functional groups (SFGs) covalently linked to the CNT material. The dominant failure mode in experiment is a CNT rupture, which can be explained with the presence of SFGs. To qualify the existence of SFGs on our used CNT material, we pursue investigations by means of fluorescence labeling of surface species in combination with Raman imaging. We also report of a tensile test system to perform pull-out tests inside a transmission electron microscope to obtain in situ images of CNT-metal interfaces under mechanical loads at the atomic scale.

关键词： Reliability Metallization Silicon

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