2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)最新文献_第2页

Data-driven soft sensing towards quality monitoring of industrial pasteurization processes 面向工业巴氏灭菌过程质量监测的数据驱动软测量

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-05-01 DOI: 10.1109/DCOSS54816.2022.00039

G. Filios, Andreas Kyriakopoulos, Stavros Livanios, Fotis Manolopoulos, S. Nikoletseas, Stefanos H. Panagiotou, P. Spirakis

{"title":"Data-driven soft sensing towards quality monitoring of industrial pasteurization processes","authors":"G. Filios, Andreas Kyriakopoulos, Stavros Livanios, Fotis Manolopoulos, S. Nikoletseas, Stefanos H. Panagiotou, P. Spirakis","doi":"10.1109/DCOSS54816.2022.00039","DOIUrl":"https://doi.org/10.1109/DCOSS54816.2022.00039","url":null,"abstract":"In the food and beverage industry many foods, beers and soft drinks usually need to get pasteurized, a process that holds a significant role in the quality and taste of the final product but is difficult to monitor due to the process nature. Soft sensing techniques, also called virtual sensing or surrogate sensing, can be leveraged to monitor the product quality, by using information available from other measurements and process parameters to calculate an estimation of the quantity of interest. In this paper, we develop a soft sensing methodology that is based on machine learning algorithms for continuous, end-to-end estimation of the temperature of products during the pasteurization process, with the vision to serve as an intermediate step towards monitoring live the final quality of the pasteurized products. This work studies a real beer pasteurization process in collaboration with Heineken’s plant in Patras, Greece and the results demonstrate notable performance in temperature prediction accuracy, with average root mean square error (RMSE) of 1.85°C in the test sets. Thus, we claim that it is possible to obtain measurements quite similar to the ones by the respective physical sensors with sufficient accuracy, and our methodology can be considered as a virtual low-cost solution for monitoring product quality in legacy pasteurizer operation.","PeriodicalId":300416,"journal":{"name":"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128483168","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: 4

Towards Industry 5.0 and Digital Circular Economy: Current Research and Application Trends 迈向工业5.0与数字循环经济:当前研究与应用趋势

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-05-01 DOI: 10.1109/DCOSS54816.2022.00037

Konstantinos Voulgaridis, T. Lagkas, P. Sarigiannidis

引用次数: 3

A Virtual Sink-based Strategy for Reducing the Funneling Effect in IEEE 802.15.4 DSME Networks IEEE 802.15.4 DSME网络中减少漏斗效应的虚拟接收器策略

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-05-01 DOI: 10.1109/DCOSS54816.2022.00015

Ivonne Mantilla-González, V. Turau

引用次数: 1

A Differential BCG Sensor System for Long Term Health Monitoring Experiment on the ISS 用于国际空间站长期健康监测实验的差分卡介苗传感器系统

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-05-01 DOI: 10.1109/DCOSS54816.2022.00028

U. Kulau, Jochen Rust, Daniel Szafranski, M. Drobczyk, Urs-Vito Albrecht

{"title":"A Differential BCG Sensor System for Long Term Health Monitoring Experiment on the ISS","authors":"U. Kulau, Jochen Rust, Daniel Szafranski, M. Drobczyk, Urs-Vito Albrecht","doi":"10.1109/DCOSS54816.2022.00028","DOIUrl":"https://doi.org/10.1109/DCOSS54816.2022.00028","url":null,"abstract":"Comprehensive health monitoring is highly relevant for the safety of manned spaced missions. Ballistocardiography (BCG) is a method for providing information of the heart physiology by measuring accelerations on the body surface that are caused by forwarded heart and blood movements in the vascular system. In order to provide a sensor system with a high signal quality, this paper presents differential BCG sensing at the system level for digital accelerometers and its integration into a sensing system. The system is part of a running experiment of the Cosmic Kiss mission on the International Space Station (ISS). Compared to single sensor solutions, the noise power scales down to about 50%, the Signal to Noise Ratio (SNR) is increased by a factor of 1.87 and the BCG signal variability especially improves for diastole area. Furthermore, by exploiting differential sensing techniques, both high reliability is achieved and common mode interference is mitigated, which is of high importance within the scope of space applications. Beside the presentation of the entire wireless sensor system including differential sensing approach, pre-processing unit and Ultra Wideband (UWB) communication module, results of the pre-flight tests show the performance of the system as well as the suitability for targeted mission.","PeriodicalId":300416,"journal":{"name":"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121757358","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: 6

Divide, Conquer and Merge for Internet-of-Things 物联网的分、治、并

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-05-01 DOI: 10.1109/DCOSS54816.2022.00026

Jagnyashini Debadarshini, Sudipta Saha

引用次数: 5

Network Economics-enabled Edge Computing in UAV-assisted Public Safety Systems 无人机辅助公共安全系统中基于网络经济学的边缘计算

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-05-01 DOI: 10.1109/DCOSS54816.2022.00067

Md Sahabul Hossain, Fisayo Sangoleye, Oshan Poudyal, Eirini-Eleni Tsiropoulou

{"title":"Network Economics-enabled Edge Computing in UAV-assisted Public Safety Systems","authors":"Md Sahabul Hossain, Fisayo Sangoleye, Oshan Poudyal, Eirini-Eleni Tsiropoulou","doi":"10.1109/DCOSS54816.2022.00067","DOIUrl":"https://doi.org/10.1109/DCOSS54816.2022.00067","url":null,"abstract":"In this paper, the joint problem of agents, e.g., police officers, firefighters, etc., to Unmanned Aerial Vehicles (UAVs) association and optimal partial task offloading is addressed based on the principles of reinforcement learning and contract theory, respectively, in public safety scenarios. A two-layers approach is followed. At the first layer, the agents act as learning automata in order to learn their most beneficial UAV selection to optimize their long-term reward in terms of processing their offloaded data, while respecting their delay constraints and tolerance stemming from their requested computing service and the public safety scenario that they serve. At the second layer, a contract-theoretic model is proposed to determine the agents’ optimal amount of offloaded data to the selected UAV and the UAV’s optimal portion of allocated computing capacity to each agent’s computing tasks, while considering the urgency of the agents’ requested service. A detailed set of numerical and comparative simulation results demonstrates the drawbacks and benefits of the proposed framework under rea-life public safety scenarios.","PeriodicalId":300416,"journal":{"name":"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"49 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132192133","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

Multi-physics Analysis of Electromagnetic Wave Propagation and Photothermal Heating in Human Tissues at Terahertz and Optical Frequencies 太赫兹和光学频率下人体组织中电磁波传播和光热加热的多物理场分析

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-05-01 DOI: 10.1109/DCOSS54816.2022.00064

I. Reddy, J. Jornet

{"title":"Multi-physics Analysis of Electromagnetic Wave Propagation and Photothermal Heating in Human Tissues at Terahertz and Optical Frequencies","authors":"I. Reddy, J. Jornet","doi":"10.1109/DCOSS54816.2022.00064","DOIUrl":"https://doi.org/10.1109/DCOSS54816.2022.00064","url":null,"abstract":"We present a custom-built, multi-physics model to investigate electromagnetic wave propagation in extreme random media such as human tissue and study its subsequent photothermal effects. The proposed finite-element model consists of two segments – the first one estimates the intensity distribution along the beam path, while the second calculates the increase in temperature due to the wave distribution inside the tissue. We determine the intensity variation in the tissue using the radiative transfer equation and compare the results with Monte Carlo analysis and existing analytical models. The intensity information is then utilized to predict the rise in temperature with a bio-heat transfer module, powered by Pennes’ bioheat equation. The model is parametric, and we perform a systematic photothermal analysis to recognize the crucial variables responsible for the temperature growth inside the tissue, particularly for terahertz and near infrared optical frequencies. Our numerical model can serve as a benchmark for intrabody communication studies involving complex heterogeneous media.","PeriodicalId":300416,"journal":{"name":"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"263 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123910856","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

Towards Bat Bio-inspired Decision-making for Task Allocation in Vehicular Fogs 基于蝙蝠仿生的车辆雾天任务分配决策

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-05-01 DOI: 10.1109/DCOSS54816.2022.00056

M. S. Quessada, D. Lieira, R. E. Grande, R. Meneguette

{"title":"Towards Bat Bio-inspired Decision-making for Task Allocation in Vehicular Fogs","authors":"M. S. Quessada, D. Lieira, R. E. Grande, R. Meneguette","doi":"10.1109/DCOSS54816.2022.00056","DOIUrl":"https://doi.org/10.1109/DCOSS54816.2022.00056","url":null,"abstract":"Technological evolutions in intelligent transportation have enabled smart and connected vehicles to support novel safety and infotainment services. The provision of such services is guaranteed with effective sharing and allocation of resources for task offloading and processing. The use of vehicular fogs also helps this process by lowering the latency in communications and the resource share among the fog members. However, allocation in Fogs introduces challenges related to the intermittency of Fog vehicle nodes, clustering, topology changes, and resource allocation problems. The use of metaheuristic algorithms has been explored in several works to solve these optimization problems, such as resource allocation, clustering, task allocation, and network communications, especially regarding efficiency. We thus propose a bat bio-inspired decision-making algorithm for task allocation in vehicular fogs called AEGIS. AEGIS uses the cluster members and task parameters to do the decision-making process in the task allocation process that helps to choose the best vehicle of the fog to allocate a determined task. The AEGIS was compared to a GWO approach (meta-heuristic), Greedy, and Random (traditional) approaches. We considered allocated, denied, and lost tasks for the simulation criteria. AEGIS lost fewer tasks than the other algorithms and allocated more tasks than the traditional algorithms.","PeriodicalId":300416,"journal":{"name":"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129259291","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

Message from the UrbCom 2022 Workshop Chairs 来自2022年城市城市委员会研讨会主席的信息

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-05-01 DOI: 10.1109/dcoss54816.2022.00008

引用次数: 0

(POSTER) A Software-Defined Underwater Visible Light Communication Testbed (海报)软件定义的水下可见光通信试验台

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-05-01 DOI: 10.1109/DCOSS54816.2022.00024

Clifford Boakye-Mensah, Dontez V. Vann, Javionn J. Ramsey, Hongzhi Guo

引用次数: 0