Pub Date : 2023-03-15DOI: 10.1109/ISADS56919.2023.10091979
Xiaodong Lu, K. Morioka, N. Kanada, T. Koga
In order to improve safety, operational economics, and environmental sustainability, the International Civil Aviation Organization (ICAO) has established a collaborative environment that promotes the sharing of comprehensive information, not only between ground-to-ground systems but also between aircrafts and corresponding air traffic management systems. However, the existing Air Traffic Control (ATC) system heavily relies on voice communication, which is difficult to satisfy the demands of Trajectory Based Operations (TBO) by effectively coordinating the 4-Dimensional Trajectory (4DT) across various systems and stakeholders. This paper identifies the concept of connected aircraft, outlines potential implementation challenges, and explores additional functional capabilities that could enhance situational and operational awareness. Moreover, based on the live flight experiment, the validation of coordination method and information exchange between the aircraft and ground systems by using proposed system architecture and IP data link service are presented. Finally, we discuss the challenges and issues that need to be addressed for establishing a collaborative operational environment to realize 4DT negotiation through a system-wide information management environment.
{"title":"4D Trajectory Negotiation to Achieve Situational and Operational Awareness for Air Traffic Management","authors":"Xiaodong Lu, K. Morioka, N. Kanada, T. Koga","doi":"10.1109/ISADS56919.2023.10091979","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10091979","url":null,"abstract":"In order to improve safety, operational economics, and environmental sustainability, the International Civil Aviation Organization (ICAO) has established a collaborative environment that promotes the sharing of comprehensive information, not only between ground-to-ground systems but also between aircrafts and corresponding air traffic management systems. However, the existing Air Traffic Control (ATC) system heavily relies on voice communication, which is difficult to satisfy the demands of Trajectory Based Operations (TBO) by effectively coordinating the 4-Dimensional Trajectory (4DT) across various systems and stakeholders. This paper identifies the concept of connected aircraft, outlines potential implementation challenges, and explores additional functional capabilities that could enhance situational and operational awareness. Moreover, based on the live flight experiment, the validation of coordination method and information exchange between the aircraft and ground systems by using proposed system architecture and IP data link service are presented. Finally, we discuss the challenges and issues that need to be addressed for establishing a collaborative operational environment to realize 4DT negotiation through a system-wide information management environment.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129689700","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}
Pub Date : 2023-03-15DOI: 10.1109/ISADS56919.2023.10091973
Steven A. Wright
Modern public and private infrastructure is increasingly large and complex regardless of the industry within which it is deployed - communications, power, transportation, manufacturing, finance, etc. Autonomous Decentralized Systems (ADSs) analogous to living systems with autonomous and decentralized subsystems have been developed to support the requirements of modern infrastructure. Large-scale infrastructure is increasingly a significant source of data on both its own operations as well as the society dependent on it. Big data from infrastructure can thus supply a variety of artificial and augmented intelligence systems. Large complex infrastructures typically require large complex organizations to operate and maintain. Such organizations though are typically centralized and constrained by bureaucratic policies and procedures. Decentralized Autonomous Organizations (DAOs) are emerging that may provide better transparency, autonomy and decentralization for the manner in which these large-scale infrastructures are operated. The paper contrasts DAOs and ADSs before identifying the requirements for DAO administration of an ADS.
{"title":"DAOs & ADSs","authors":"Steven A. Wright","doi":"10.1109/ISADS56919.2023.10091973","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10091973","url":null,"abstract":"Modern public and private infrastructure is increasingly large and complex regardless of the industry within which it is deployed - communications, power, transportation, manufacturing, finance, etc. Autonomous Decentralized Systems (ADSs) analogous to living systems with autonomous and decentralized subsystems have been developed to support the requirements of modern infrastructure. Large-scale infrastructure is increasingly a significant source of data on both its own operations as well as the society dependent on it. Big data from infrastructure can thus supply a variety of artificial and augmented intelligence systems. Large complex infrastructures typically require large complex organizations to operate and maintain. Such organizations though are typically centralized and constrained by bureaucratic policies and procedures. Decentralized Autonomous Organizations (DAOs) are emerging that may provide better transparency, autonomy and decentralization for the manner in which these large-scale infrastructures are operated. The paper contrasts DAOs and ADSs before identifying the requirements for DAO administration of an ADS.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124117527","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}
Pub Date : 2023-03-15DOI: 10.1109/ISADS56919.2023.10092023
Yiwei Zhao, Song Jiang, Weidong Zhong, Lizhong Wang, Xiao-Feng Li
Today’s apps on a mobile device, such as a smartphone and a tablet, need to access various resources to deliver quality service to users’ satisfaction. These resources may include cameras, microphones, screens, processors, various specialized sensors, and data. In today’s client-server framework, resources accessible to an app are limited to those available in the device running the app, on the cloud, and likely in a few statically connected devices. However, there can be abundant resources on devices near the app-running one with desirable functionalities that can enable or empower the app’s new features and services, but cannot be easily accessed and leveraged. The NEOP (Neutron Operation Platform) framework is an app development and execution environment that removes the barrier across the devices. Heterogeneous IoT devices make the capabilities in their hardware and service software available after security and privacy authentication. An app is developed as a composition of capabilities distributed across various end devices and the cloud. Its constituent computing tasks can be dynamically created and scheduled. Different device capabilities can be selectively and dynamically recruited into the app for the optimal user experience. In this paper we describe example scenarios that motivate the next-generation app framework, the framework’s architecture, design principles, technical challenges, and details on its design and implementation. We also compare this work with related efforts on distributed mobile computing to highlight the unique contributions made by the NEOP platform.
{"title":"NEOP: A Framework for Distributed Mobile Apps on Heterogeneous Devices","authors":"Yiwei Zhao, Song Jiang, Weidong Zhong, Lizhong Wang, Xiao-Feng Li","doi":"10.1109/ISADS56919.2023.10092023","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092023","url":null,"abstract":"Today’s apps on a mobile device, such as a smartphone and a tablet, need to access various resources to deliver quality service to users’ satisfaction. These resources may include cameras, microphones, screens, processors, various specialized sensors, and data. In today’s client-server framework, resources accessible to an app are limited to those available in the device running the app, on the cloud, and likely in a few statically connected devices. However, there can be abundant resources on devices near the app-running one with desirable functionalities that can enable or empower the app’s new features and services, but cannot be easily accessed and leveraged. The NEOP (Neutron Operation Platform) framework is an app development and execution environment that removes the barrier across the devices. Heterogeneous IoT devices make the capabilities in their hardware and service software available after security and privacy authentication. An app is developed as a composition of capabilities distributed across various end devices and the cloud. Its constituent computing tasks can be dynamically created and scheduled. Different device capabilities can be selectively and dynamically recruited into the app for the optimal user experience. In this paper we describe example scenarios that motivate the next-generation app framework, the framework’s architecture, design principles, technical challenges, and details on its design and implementation. We also compare this work with related efforts on distributed mobile computing to highlight the unique contributions made by the NEOP platform.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121724414","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}
Pub Date : 2023-03-15DOI: 10.1109/ISADS56919.2023.10092180
Yuke Wang, Ling Lu, Wu Yang, Yinong Chen
Abstract Lexicon have been proved to enhance character representation to help Chinese named entity recognition (NER) model distinguish entities. Although lexicon information includes both semantic and boundary information of words, existing studies usually use only part of them and has low utilization of lexicon information. To efficiently extract dictionary features and integrate character representation, we propose a Heterogeneous Graph and Dynamic Attention Network (HGDAN), aiming at fusing contextual information and capturing dynamic associations between characters and words, thus improving the performance of Chinese NER. PGDNA uses the boundary information of the dictionary to construct a heterogeneous graph and uses the graph attention method to extract semantic information, as well as suppressing lexical noise through the gating unit. In addition, we found the traditional attention model has a non-zero attention problem that will distract the attention of the model, and proposed a simple and effective method to solve it. Experiments on the performance and inference speed of HGDAN on four Chinese datasets have proved its superiority.
{"title":"Chinese named entity recognition based on Heterogeneous Graph and Dynamic Attention Network","authors":"Yuke Wang, Ling Lu, Wu Yang, Yinong Chen","doi":"10.1109/ISADS56919.2023.10092180","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092180","url":null,"abstract":"Abstract Lexicon have been proved to enhance character representation to help Chinese named entity recognition (NER) model distinguish entities. Although lexicon information includes both semantic and boundary information of words, existing studies usually use only part of them and has low utilization of lexicon information. To efficiently extract dictionary features and integrate character representation, we propose a Heterogeneous Graph and Dynamic Attention Network (HGDAN), aiming at fusing contextual information and capturing dynamic associations between characters and words, thus improving the performance of Chinese NER. PGDNA uses the boundary information of the dictionary to construct a heterogeneous graph and uses the graph attention method to extract semantic information, as well as suppressing lexical noise through the gating unit. In addition, we found the traditional attention model has a non-zero attention problem that will distract the attention of the model, and proposed a simple and effective method to solve it. Experiments on the performance and inference speed of HGDAN on four Chinese datasets have proved its superiority.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"60 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132236579","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}
Pub Date : 2023-03-15DOI: 10.1109/ISADS56919.2023.10091943
Md. Jawad Siddique, Khaled R. Ahmed
Deer Vehicle Collisions (DVCs) is a major concern in road safety that results in loss of human life, properties and wildlife. DVCs mostly occurs during the fourth quarter of the year when deer are more active andless attentive. DVCs are increasing due to the increase in number of vehicles and the absence of intelligent highway safety and alert systems. One of the most challenging issues is to detect deer and its movement on roadways during both day and nighttime to mitigate DVCs. Thus, this paper proposed a deer detection and movement, DDM technique to automate DVCs mitigation system The DDM combines computer vision, artificial intelligent methods with deep learning techniques. DDM includes two main deep learning algorithms 1) one-stage deep learning algorithm based on Yolov5 that generates a detection model (DM) to detect deer and 2) deep learning algorithm developed by python toolkit DeepLabCut to generate movement model (MM) for detecting the movement of the deer. The proposed method can detect deer with 99. 7% precision and usingDeepLabCuttoolkit on the detected deer we can ascertain if the deer is moving or static with an inference speed of $theta$. 29s.
{"title":"DDM: Study Of Deer Detection And Movement Using Deep Learning Techniques","authors":"Md. Jawad Siddique, Khaled R. Ahmed","doi":"10.1109/ISADS56919.2023.10091943","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10091943","url":null,"abstract":"Deer Vehicle Collisions (DVCs) is a major concern in road safety that results in loss of human life, properties and wildlife. DVCs mostly occurs during the fourth quarter of the year when deer are more active andless attentive. DVCs are increasing due to the increase in number of vehicles and the absence of intelligent highway safety and alert systems. One of the most challenging issues is to detect deer and its movement on roadways during both day and nighttime to mitigate DVCs. Thus, this paper proposed a deer detection and movement, DDM technique to automate DVCs mitigation system The DDM combines computer vision, artificial intelligent methods with deep learning techniques. DDM includes two main deep learning algorithms 1) one-stage deep learning algorithm based on Yolov5 that generates a detection model (DM) to detect deer and 2) deep learning algorithm developed by python toolkit DeepLabCut to generate movement model (MM) for detecting the movement of the deer. The proposed method can detect deer with 99. 7% precision and usingDeepLabCuttoolkit on the detected deer we can ascertain if the deer is moving or static with an inference speed of $theta$. 29s.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126623025","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}
Pub Date : 2023-03-15DOI: 10.1109/ISADS56919.2023.10092151
Georgios L. Stavrinides, H. Karatza
In this study, we propose and investigate a scheduling technique for linear workflow (LW) jobs with dynamically adjustable exit tasks in a distributed system. The proposed approach takes into account the probability for a LW job to permit partial computations for its exit task, under specific conditions. We investigate via simulation the case where none, half or all of the LW jobs in the workload allow partial computations, under different scenarios of load conditions and service demand variability. The simulation results provide useful insights into how the probability for a LW job to permit partial computations for its exit task, as well as the system load, affect the system performance. The results also demonstrate that partial computations, under the proposed scheduling scheme, can reduce the mean response time of the LW jobs, incurring only an insignificant degradation in their average result precision.
{"title":"Scheduling Linear Workflows with Dynamically Adjustable Exit Tasks on Distributed Resources","authors":"Georgios L. Stavrinides, H. Karatza","doi":"10.1109/ISADS56919.2023.10092151","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092151","url":null,"abstract":"In this study, we propose and investigate a scheduling technique for linear workflow (LW) jobs with dynamically adjustable exit tasks in a distributed system. The proposed approach takes into account the probability for a LW job to permit partial computations for its exit task, under specific conditions. We investigate via simulation the case where none, half or all of the LW jobs in the workload allow partial computations, under different scenarios of load conditions and service demand variability. The simulation results provide useful insights into how the probability for a LW job to permit partial computations for its exit task, as well as the system load, affect the system performance. The results also demonstrate that partial computations, under the proposed scheduling scheme, can reduce the mean response time of the LW jobs, incurring only an insignificant degradation in their average result precision.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128519874","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}
Pub Date : 2023-03-15DOI: 10.1109/ISADS56919.2023.10092152
Hironao Takahashi, Uzair Lakhani
Now there are variable type of digital data, contents and real time signals are coming from multiple IoT sensors which is called dynamic big data and these trading are operating on the decentralized system in our life. One of unique transaction model, Non Fungible Token (NFT) become popular now, and it has a high financial value in areas such as arts and intellectual property right, sometime. But, NFT trading system requires a secured system policy. NFT exchange marketplace system should have a high availability and security for P to P node transfer and confirmation policy. This paper proposes smart contract mechanism and its implementation to confirm for blockchain transaction on the autonomous decentralized layer one voting blockchain system. The voting blockchain system architecture is shown and its smart contract implementation using Geth code is also shown in this paper.
{"title":"Implementation of Smart Contract on Autonomous Decentralized Voting Blockchain","authors":"Hironao Takahashi, Uzair Lakhani","doi":"10.1109/ISADS56919.2023.10092152","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092152","url":null,"abstract":"Now there are variable type of digital data, contents and real time signals are coming from multiple IoT sensors which is called dynamic big data and these trading are operating on the decentralized system in our life. One of unique transaction model, Non Fungible Token (NFT) become popular now, and it has a high financial value in areas such as arts and intellectual property right, sometime. But, NFT trading system requires a secured system policy. NFT exchange marketplace system should have a high availability and security for P to P node transfer and confirmation policy. This paper proposes smart contract mechanism and its implementation to confirm for blockchain transaction on the autonomous decentralized layer one voting blockchain system. The voting blockchain system architecture is shown and its smart contract implementation using Geth code is also shown in this paper.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130021665","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}
Pub Date : 2023-03-15DOI: 10.1109/ISADS56919.2023.10092078
Hiram Ponce, E. Moya-Albor, J. Brieva
Convolutional neural network (CNN) is a prominent algorithm in Deep Learning methods. CNN architectures have been used successfully to solve various problems in image processing, for example, segmentation, classification, and enhancement task. However, automatic search for suitable architectures and training parameters remain an open area of research, where metaheuristic algorithms have been used to fine-tuning the hyperparameters and learning parameters. This work presents a bio-inspired distributed strategy based on Wound Treatment optimization (WTO) for training the learning parameters of a LenNet CNN model fast and accurate. The proposed method was evaluated over the popular benchmark dataset MNIST for handwritten digit recognition. Experimental results showed an improvement of 36.87% in training time using the distributed WTO method compared to the baseline with a single learning agent, and the accuracy increases 4.69% more using the proposed method in contrast with the baseline. As this is a preliminary study towards the distributed WTO method for training CNN models, we anticipate this approach can be used in robotics, multi-agent systems, federated learning, complex optimization problems, and many others, where an optimization task is required to be solved fast and accurate.
{"title":"Towards the Distributed Wound Treatment Optimization Method for Training CNN Models: Analysis on the MNIST Dataset","authors":"Hiram Ponce, E. Moya-Albor, J. Brieva","doi":"10.1109/ISADS56919.2023.10092078","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092078","url":null,"abstract":"Convolutional neural network (CNN) is a prominent algorithm in Deep Learning methods. CNN architectures have been used successfully to solve various problems in image processing, for example, segmentation, classification, and enhancement task. However, automatic search for suitable architectures and training parameters remain an open area of research, where metaheuristic algorithms have been used to fine-tuning the hyperparameters and learning parameters. This work presents a bio-inspired distributed strategy based on Wound Treatment optimization (WTO) for training the learning parameters of a LenNet CNN model fast and accurate. The proposed method was evaluated over the popular benchmark dataset MNIST for handwritten digit recognition. Experimental results showed an improvement of 36.87% in training time using the distributed WTO method compared to the baseline with a single learning agent, and the accuracy increases 4.69% more using the proposed method in contrast with the baseline. As this is a preliminary study towards the distributed WTO method for training CNN models, we anticipate this approach can be used in robotics, multi-agent systems, federated learning, complex optimization problems, and many others, where an optimization task is required to be solved fast and accurate.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129620995","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}
Pub Date : 2023-03-15DOI: 10.1109/isads56919.2023.10092051
{"title":"ISADS 2023 Cover Page","authors":"","doi":"10.1109/isads56919.2023.10092051","DOIUrl":"https://doi.org/10.1109/isads56919.2023.10092051","url":null,"abstract":"","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126245970","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}
Pub Date : 2023-03-15DOI: 10.1109/ISADS56919.2023.10092185
Edwin Williams Azaña Cutipa, Gianfranco Cervera Arias, Julio Enrique Quispe Tuesta
The perishable food supply chain represents a great logistical challenge due to different environmental factors that must be met to ensure minimal loss and avoid diminishing profitability. The purpose of this study is to present a low-cost portable system and intuitive to monitor the environmental status of cargo using the Internet of things (IoT), store the collected data in the Amazon Web Services (AWS) cloud and generate reports for the decision-making. To corroborate the correct functioning of the prototype, a controlled route was simulated within Lima, Peru. The main components of the proposed system are the M5Stack AWS development kit, the ENV III temperature and humidity sensor, and the Android application, LogiApp, connected to the other components through the AWS cloud.
{"title":"Application prototype for the registration, checking, and monitoring of perishable foods","authors":"Edwin Williams Azaña Cutipa, Gianfranco Cervera Arias, Julio Enrique Quispe Tuesta","doi":"10.1109/ISADS56919.2023.10092185","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092185","url":null,"abstract":"The perishable food supply chain represents a great logistical challenge due to different environmental factors that must be met to ensure minimal loss and avoid diminishing profitability. The purpose of this study is to present a low-cost portable system and intuitive to monitor the environmental status of cargo using the Internet of things (IoT), store the collected data in the Amazon Web Services (AWS) cloud and generate reports for the decision-making. To corroborate the correct functioning of the prototype, a controlled route was simulated within Lima, Peru. The main components of the proposed system are the M5Stack AWS development kit, the ENV III temperature and humidity sensor, and the Android application, LogiApp, connected to the other components through the AWS cloud.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130441459","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}
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