{"title":"Semi-supervised Learning in Distributed Split Learning Architecture and IoT Applications","authors":"Mahdi Barhoush, Ahmad Ayad, A. Schmeink","doi":"10.1109/ISADS56919.2023.10092050","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092050","url":null,"abstract":"In the era of big data, new learning techniques are emerging to solve the difficulties of data collection, storage, scalability, and privacy. To overcome these challenges, we propose a distributed learning system that merges the hybrid edge-cloud split-learning architecture with the semi-supervised learning scheme. The proposed system based on three semisupervised learning algorithms (FixMatch, Virtual Adversarial Training, and MeanTeacher) is compared to the supervised learning scheme and trained on different datasets and data distributions (IID and non-IID) and with a variable number of clients. The new system could efficiently utilize the local unlabeled samples on the client side and gave a performance encouragement that exceeds 30% in most cases even with small percentage of labelled data. Additionally, certain Split-SSL algorithms showed performance that was on par with or occasionally even better than more resource-intensive algorithms, although requiring less processing power and convergence time.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"57 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":"126219058","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}
{"title":"Assessment of Situation Awareness and Automation in Performance-Based Navigation Procedures","authors":"C. Morales, S. Moral","doi":"10.1109/ISADS56919.2023.10091986","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10091986","url":null,"abstract":"PBN (Performance-Based Navigation) implies an increase in the automation of air operations, in the context of the current evolution of flight trajectories that are based on a flexible definition of route waypoints, to enable the implementation of TBO (Trajectory-Based Operations) and trajectory negotiation, all under the umbrella of SWIM (System-Wide Information Management). From a general perspective, automation has a positive impact on flight safety, contributing to the reduction of flight crew workload. However, in the particular case of PBN turns, there are cases where pilots are not aware of the type of turns that their aircraft perform. There is a risk of an automation bias leading to situations where the crew perceive that it is not their responsibility to start a turn or to monitor the conditions that drive the autopilot behaviour. In the context of a research line that aims to apply Bayesian networks to SA (Situation Awareness) measurement, we have designed an experiment to assess automation in a simulated PBN departure procedure, intending to collect data that are relevant to analyze the automation bias problem and rate SA using logistic regression.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"27 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":"120934391","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}
{"title":"Resilient Streamlines Optimization for Baby Carriages","authors":"X. Zeng, Yexin Guo, Peiran Ying, Siyu Ai","doi":"10.1109/ISADS56919.2023.10092040","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092040","url":null,"abstract":"In this paper, we developed a resilient streamline optimization method for the baby carriage in a subway station based on a video evaluation system and the simulation approach. Yolov5 algorithm is adopted to detect the streamline of the baby carriages visually. According to the movement characteristics of the baby carriage, the detected streamlines are evaluated by the analytic hierarchy process (AHP) from resilient aspects. Finally, a digital-twin simulation model, including all the facilities and people in the subway station, is built in AnyLogic to access the current streamlines of baby carriages. A feasible optimization scheme is given based on the evaluation and simulation results. The case studies of Zhuguang Road Station of Shanghai subway Line 13 are executed. Different situations are tested and simulated. More resilient streamlines for baby carriages are designed. The results showed that this approach could effectively optimize the streamlines for baby carriages.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"79 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":"126183089","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}
Sarah Shafqat, Zahid Anwar, Qaisar Javaid, H. F. Ahmad
{"title":"A Unified Deep Learning Diagnostic Architecture for Big Data Healthcare Analytics","authors":"Sarah Shafqat, Zahid Anwar, Qaisar Javaid, H. F. Ahmad","doi":"10.1109/ISADS56919.2023.10092137","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092137","url":null,"abstract":"Healthcare automation is evolving rapidly as can been seen in the recent popularity of e-health or digital health systems. The massive amount of health related data produced by these systems has given rise to the field of health informatics. The World Health organization (WHO) decomposes SMARThealth as Standards-based, Machine-readable, Adaptive, Requirementsbased, and Testable, and provides guidelines for digital health. Heterogeneous and big health data health that flows into the cloud requires considerations for uniformity of structure to allow for interoperability and generalizability for universal use and analysis. This research proposes a deep-learning architecture for disease diagnosis that considers Diabetes Mellitus (DM) as a case study. Three corpuses containing DM patient data are considered which are prepared and processed using extensive data warehousing techniques and labeled with ICD-10-CM diagnostic codes. Extraction of desired health data is through a unified data model for healthcare that is in compliance with HL7 FHIR v4.0 schema. Our contributions are two-fold: First, three big data cloud analytical models are proposed and validated on the unified corpora and second the maximum possible diseases specific to a single or multiple DM patients have been diagnosed with a 100% accuracy using deep multinomial/multi-label distribution learning (DMDL).","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"27 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":"126416350","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}
{"title":"Intrusion Detection System for Industrial Control Systems Based on Imbalanced Data","authors":"Xinrui Dong, Y. Lai","doi":"10.1109/ISADS56919.2023.10092008","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092008","url":null,"abstract":"The integration of industrialization and informatization has exposed industrial control systems (ICSs) to increasingly serious security challenges. Currently, the mainstream method to protect the security of ICSs is intrusion detection system (IDS) based on deep-learning. However, these methods depend on a massive amount of high-quality data. Owing to the characteristics and protocol limitations, ICSs data usually experience low-quality and data imbalance problems, which significantly affects the accuracy of IDS.In this study, an IDS for ICS that combines data expansion algorithm and CNN was proposed. A novel normalized neighborhood weighted convex combined random sample (NNW-CCRS) oversampling algorithm was designed, which automatically attenuates the effects of noise and expanding imbalanced data to produce balanced ICS datasets. By reducing the impact of imbalanced ICS data on IDSs, our system effectively protects the security of ICS. Secure Water Treatment dataset (SWaT) was used for experimental validation. The experimental results confirmed that the accuracy of the proposed system improved by approximately 20%, compared to the ICS without data expansion.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"22 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":"116946974","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}
J. Gonzalez, J. Poza, Jacobo Robles, Hiram Ponce, J. Brieva, E. Moya-Albor
{"title":"Design of a Soft Gripper Hand for a Quadruped Robot","authors":"J. Gonzalez, J. Poza, Jacobo Robles, Hiram Ponce, J. Brieva, E. Moya-Albor","doi":"10.1109/ISADS56919.2023.10091976","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10091976","url":null,"abstract":"This work aims to solve a current balancing problem for a quadruped robot by proposing a soft gripper. The main problem for the project is the lack of modules to make a quadruped robot walk through tough environments, which is designed to help in accidents to look for people and maintenance in factories. Viable solutions for the main body were found with a look alike chameleon robot. With that premise, the goal for the chameleon robot is to have a capable of moving through difficult surfaces and to have enough movement so to get better results in the displacement. To fulfill this requirement, the proposed key idea presented here is to design a gripper capable of helping the main body to achieve difficult places being as safe as possible. Furthermore, the gripper is an actual module for the main robot, and should be easy to substitute and build, in case it is needed in other situations. Because of that, the gripper is designed with the help of soft robotics. Experimental results in lab show the effectiveness of the soft gripper. We anticipate this system will help the robot to use the force effectively through each step.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"237 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":"116884582","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}
Namiko Saito, Peizhi Zhang, Hiroaki Hayashi, S. Sugano, K. Mori
{"title":"Innovation by Connecting People, Skill, and Value: A Community Platform for Collaborative Job Hunting","authors":"Namiko Saito, Peizhi Zhang, Hiroaki Hayashi, S. Sugano, K. Mori","doi":"10.1109/ISADS56919.2023.10092110","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092110","url":null,"abstract":"These days, value structure and social structure are changing with the background of immigration, globalization, and diversification. In many countries, such as Japan, a foreign workforce is introduced due to ageing citizens and labour shortages. Such diversification would be a great opportunity to create innovation. Innovation is often achieved when ideas from different perspectives synergize with each other. In this paper, we focus on the job hunting scene and suggest recruiting diverse and cooperative teams as one form of recruitment. Conventional job-hunting services and Social networking services (SNSs) are limited to matching labour supply and demand or attracting people with similar values. To help build and recruit diverse and cooperative teams, we propose a system to build a platform to connect people with different backgrounds, skills, and values and promote their cooperation. With the system, job hunters could find a team where members can leverage each other’s strengths and compensate for each other’s weaknesses. Furthermore, companies could effectively evaluate the diversity and cooperativeness of teams for hiring decisions. The evaluation scenario demonstrated that the proposed system could increase both job hunter and recruiter satisfaction levels and social impact.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"8 Suppl 4 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":"123083253","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}
{"title":"Preliminary Feasibility Study of Quantum Key Distribution for Future Air Traffic Management Systems","authors":"N. Kanada, Xiaodong Lu","doi":"10.1109/ISADS56919.2023.10092072","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092072","url":null,"abstract":"The authors conducted a preliminary feasibility study on applying quantum key delivery (QKD) to future air traffic management systems. We evaluated the number of bits required to exchange the information needed for air traffic management systems to ensure air traffic safety and found that the currently feasible QKD key generation rate is sufficient for the daily operations of airlines.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"25 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":"121980108","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}
{"title":"Emotion monitoring sensor network using a drive recorder","authors":"Jinshan Luo, Haruka Yoshimoto, Yuki Okaniwa, Y. Hiramatsu, Atsushi Ito, Madoka Hasegawa","doi":"10.1109/ISADS56919.2023.10092139","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092139","url":null,"abstract":"With the development of a mobility society, supporting drivers from the mental aspect for safe driving is an increasingly important issue before self-driving cars are dominant. We have developed a sensor network that uses biosignal sensors such as EEG, ECG, heart rate, and drivers’ operation of pedals and steering to measure drivers’ emotions. However, even though EEG may be an excellent index to estimate emotion, it is not practical to wear an EEG sensor while driving. So, we would like to add other methods that are easy to use and can support estimating drivers’ emotions. In this paper, we report the result of using the facial expression analysis technique to estimate a car driver’s stress and fatigue. The result shows that facial expression reflects driver emotion in most cases and is closely related to automotive operating status.","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":"124392167","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}
Sergio Alejandro Arizmendi Flores, Carlos Contreras Fernandez Del Castillo, Diego Santiago Solana Carreón, Sebastián Zenteno Barreiro, J. Brieva, Hiram Ponce, E. Moya-Albor
{"title":"Portable Device for Monitoring the Respiratory Rate in Home Conditions","authors":"Sergio Alejandro Arizmendi Flores, Carlos Contreras Fernandez Del Castillo, Diego Santiago Solana Carreón, Sebastián Zenteno Barreiro, J. Brieva, Hiram Ponce, E. Moya-Albor","doi":"10.1109/ISADS56919.2023.10092089","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092089","url":null,"abstract":"During the last decades, technological advances have escalated at astronomical levels. One of the fields where technology has proven to be the most beneficial is in medicine. The vital signs monitoring is one of the medical areas with greater advances. Despite this technological advance in monitoring vital signs, heart rate and oxygen saturation are the ones that continue to be most used in diagnosis to the detriment of respiratory rate (RR) in medical and non medical environments. In this work we propose a preliminary contact device easy to use in non medical environments for monitoring, measuring and recording the RR. We test our device in controlled conditions in five healthy subjects. Accuracy will be computed through comparison of a visible estimation of the RR and the acquired data. The obtained mean PE% is less than 6% in normal conditions of utilisation for the experiments. Overall, our device has proven a reliable tool for RR measurement in this preliminary version.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"27 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":"125735446","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}