2022 IEEE 8th World Forum on Internet of Things (WF-IoT)最新文献_第7页

IoT Based Network Model And Sensor Node Prototype For Precision Agriculture Application 基于物联网的精准农业应用网络模型及传感器节点原型

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152218

Josip Spisic, J. Balen, D. Zagar, V. Galić

{"title":"IoT Based Network Model And Sensor Node Prototype For Precision Agriculture Application","authors":"Josip Spisic, J. Balen, D. Zagar, V. Galić","doi":"10.1109/WF-IoT54382.2022.10152218","DOIUrl":"https://doi.org/10.1109/WF-IoT54382.2022.10152218","url":null,"abstract":"The recent advancement of the Internet of Things (IoT) enabled the development of precision agriculture by using high technology sensors and analysis tools for improving crop yields and assisting management decisions. Due to its highly interoperable, scalable, widespread, and open nature, the IoT approach is an ideal match for precision agriculture. We built our model in response to the above benefits and potentials of IoT in precision agriculture. In this paper we propose a low cost IoT based network model using the developed IoT sensor node for precision agriculture applications consisting of a near-infrared sensor and general purpose microcontroller for gathering data from agricultural fields. Our model architecture is extremely flexible, and it provides a machine learning data analytics solution that enables small size data processing at the edge of the network (sensor nodes) and large-scale data processing on real-time observation streams of data from a number nodes in the cloud. We employ LoRaWAN™, a wide area networking protocol as a transmission protocol in our solution, which has a low power consumption, long-range capability, it's affordable and requires little maintenance, making it perfect for large fields and variable number of sensor nodes. According to the first results of device testing presented in this report, our device might provide affordable means of field-based spatio-temporal sensing.","PeriodicalId":176605,"journal":{"name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130187176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enabling Unobtrusive Gait Analysis for Self-Health Monitoring using a Smartphone 使用智能手机进行不显眼的步态分析以进行自我健康监测

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152092

N. Suryadevara, Irfan Mohd, Ashish Gupta

{"title":"Enabling Unobtrusive Gait Analysis for Self-Health Monitoring using a Smartphone","authors":"N. Suryadevara, Irfan Mohd, Ashish Gupta","doi":"10.1109/WF-IoT54382.2022.10152092","DOIUrl":"https://doi.org/10.1109/WF-IoT54382.2022.10152092","url":null,"abstract":"Gait analysis states that the scientific study of body movements are responsible for locomotion in human beings. Many people can move about with abnormal gait patterns for years without knowing the odd symptoms. However, an abnormal walking style can lead to more significant health problems when someone's regular gait pattern is altered due to injury or illness. Therefore, one must self-assess and diagnose the early stages of abnormal gait. We propose an interdisciplinary implementation of the Human Gait Analysis System project (HGAS), a human pose estimation using the PoseNet machine learning model that can run on a smartphone browser. Gait analysis conducted in a laboratory environment is expen-sive and cannot be used to assess the person's gait daily. There-fore, it is desired to focus on developing a new gait analysis system that is affordable for personal use, user-friendly, and mobile. The present work explores machine learning techniques that can be used to determine basic gait parameters using observational gait analysis. The individual can utilize the developed system for a self-gait assessment, help doctors/nurses to understand the patient gait patterns for their treatment, or an individual pose assessment during yoga/exercises.","PeriodicalId":176605,"journal":{"name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127175338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Entrepreneurial Forum 创业论坛

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152147

Chun-Chih Chen, Eric Fukuda, Chung-Min Chen

引用次数: 0

Robust Timing Synchronization Algorithm for 5G New Radio 5G新无线电的鲁棒定时同步算法

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152288

Y. Lee, Tzu-Chieh Kao, Zhen-Ming Huang, Hsuan-Po Lin, Chun-Ta Wu, Chao-Yu Chen

引用次数: 0

Quality Traceability for User-centric Context-aware Systems in Intelligent Environment 智能环境中以用户为中心的上下文感知系统的质量可追溯性

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152209

Nawa Sakanga, J. Augusto, L. Brodie, Lisa Marzano

{"title":"Quality Traceability for User-centric Context-aware Systems in Intelligent Environment","authors":"Nawa Sakanga, J. Augusto, L. Brodie, Lisa Marzano","doi":"10.1109/WF-IoT54382.2022.10152209","DOIUrl":"https://doi.org/10.1109/WF-IoT54382.2022.10152209","url":null,"abstract":"Context-awareness is an important component of modern software systems. For example, in Ambient Assisted Living (AAL), the concept of context-awareness empowers users by reducing their dependence on others. Due to this role in healthcare, such systems need to be reliable and usable by their intended users. Our research addresses the development, testing and validation of context-aware systems in an emerging field which currently lacks sufficient systems engineering processes and disciplines. One specific issue being that developers often focus on delivering a system that works at some level, rather than engineering a system that meets a specified set of system requirements and their corresponding qualities. Our research aims to contribute towards improving the delivery of system quality by tracing, developing and linking systems development data for requirements, contexts including sensors, test cases and their results, and user validation tests and their results. We refer to this approach as the “quality traceability of context-aware systems”. In order to support the developer, the quality traceability of context-aware systems introduces a systems development approach tailored to context-aware systems in intelligent environments, an automated system testing tool and system validation process. We have implemented a case study to inform the research. The case study is in healthcare and based on an AAL system used to remotely monitor and manage, in real time, an individual prone to depressive symptoms.","PeriodicalId":176605,"journal":{"name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121355338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IoT Driving New Business Model, and IoT Security, Privacy, and Awareness Challenges 物联网驱动新商业模式，以及物联网安全、隐私和意识挑战

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152044

M. Sharbaf

{"title":"IoT Driving New Business Model, and IoT Security, Privacy, and Awareness Challenges","authors":"M. Sharbaf","doi":"10.1109/WF-IoT54382.2022.10152044","DOIUrl":"https://doi.org/10.1109/WF-IoT54382.2022.10152044","url":null,"abstract":"Internet of Things (IoT) or Internet of Intelligent Things is one of the most buzzing and discussed topic in business and research field today. The Internet of Things (IoT) refers to systems that involve computation, sensing, communication, and it involves the connection between humans, non-human physical objects, enabling monitoring, automation, and decision making within organization. The Internet of Things (IoT) is a network of ‘smart’ devices that connect and communicate via the Internet. The concept of the IoT is to establish a pervasive and ubiquitous environment (i.e., an IoT ecosystem) with a variety of things or objects (e.g., RFID tags, sensors and actuators, smart phones, washing machines, smart TV, etc.) that can autonomously collaborate, and cooperate to reach common goals providing smart services for the benefit of humankind. Because of lack of awareness within the public about devices, lack of standardization for devices, and characteristics of IoT are highly dynamic, and continuously change because of mobility, for that reasons IoT alleviates concerns about security, and privacy. In this paper research is mainly focusing on the concept of IoT, architecture, new business model and security and privacy issues with suggested countermeasure and cyber security awareness in IoT threats, also outlines recommendations for how to mitigate or reduce the effects of these IoT concerns.","PeriodicalId":176605,"journal":{"name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122555077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

6LoFD: A Failure Detector for 6LoWPAN 6LoFD: 6LoWPAN的故障检测器

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152256

Philipp Raich, W. Kastner

引用次数: 0

Caching in SWIPT-Enabled Bidirectional Cooperative Hybrid Relaying Networks 支持swift的双向合作混合中继网络中的缓存

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152155

Kevanna Mutha, P. K. Upadhyay, J. M. Moualeu

引用次数: 0

Run-Time Probabilistic Model Checking for Failure Prediction: A Smart Lift Case Study 故障预测的运行时概率模型检查:智能电梯案例研究

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152177

Xin Xin, S. Keoh, Michele Sevegnani, Martin Saerbeck

{"title":"Run-Time Probabilistic Model Checking for Failure Prediction: A Smart Lift Case Study","authors":"Xin Xin, S. Keoh, Michele Sevegnani, Martin Saerbeck","doi":"10.1109/WF-IoT54382.2022.10152177","DOIUrl":"https://doi.org/10.1109/WF-IoT54382.2022.10152177","url":null,"abstract":"Modern smart systems are powered by cyber-physical systems integrating sensor networks with service-oriented architecture to automate their operations. Control algorithms deployed on smart systems are now driven by connected sensors with control decisions being made based on the sensor generated data. As sensors tend to be unreliable and prone to failures, this has resulted in the increase of system errors due to the wrong control decisions derived from the faulty sensor readings, thus affecting the performance, safety and quality of the operational tasks. Existing methodologies to evaluate and test such systems do not take into account the complexity and uncertainty exhibited by the underlying sensor networks, and hence not being able to dynamically verify the behaviour of the smart systems at run-time. This paper proposes a novel run-time verification framework combining sensor-level fault detection and system-level probabilistic model checking. This framework rigorously quantifies the trustworthiness of sensor readings, hence enabling formal reasoning for system failure prediction. We evaluated our approach on a passenger lift equipped with sensor networks to monitor its main components continuously. The results indicate that the proposed verification framework involving the quantified sensor's trustworthiness enhances the accuracy of the system failure prediction.","PeriodicalId":176605,"journal":{"name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131557132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Serverless Outlier Management for Environmental IoT Data - A Case Study of PuhatuMonitoring 环境物联网数据的无服务器离群值管理——以puhatu监测为例

2022 IEEE 8th World Forum on Internet of Things (WF-IoT) Pub Date : 2022-10-26 DOI: 10.1109/WF-IoT54382.2022.10152102

Shivananda R. Poojara, A. Jõeleht, P. Jakovits, S. Srirama

{"title":"Serverless Outlier Management for Environmental IoT Data - A Case Study of PuhatuMonitoring","authors":"Shivananda R. Poojara, A. Jõeleht, P. Jakovits, S. Srirama","doi":"10.1109/WF-IoT54382.2022.10152102","DOIUrl":"https://doi.org/10.1109/WF-IoT54382.2022.10152102","url":null,"abstract":"PuhatuMonitoring (PM) is an IoT application for observing the water level changes in a wetland in the Puhatu Nature Protection Area (NPA), North West Estonia next to an open-pit oil-shale quarry. IoT devices are installed for monitoring the environment and the LORAWAN things network stack is used to collect raw sensor data into the cloud. A major challenge faced by geologists were outliers in the collected data, caused by natural and weather conditions or device/sensor failures. We propose a system for data collection, detection of outliers using unsupervised machine learning algorithms, tagging of outlier data, and storing the results. We utilize Serverless (FaaS) model to deploy individual data processing services as virtual functions, which can be executed in an event-driven manner on data streams. We designed two different serverless data pipeline (SDP) approaches: Apache NiFi and Message Queue (MQTT) based. We investigated the performance of the two proposed approaches and results showed that Apache NiFi-based SDP approach has a lower processing time and higher disk utilization. In contrast, the MQTT-based approach experienced higher processing time and lower disk and memory utilization. Our suitability analysis showed that Apache NiFi-based approach suits better for environment monitoring applications like PuhatuMonitoring.","PeriodicalId":176605,"journal":{"name":"2022 IEEE 8th World Forum on Internet of Things (WF-IoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131245834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0