Huiying Zhou, Longqiang Wang, Baicun Wang, Geng Yang
{"title":"Human-centric Application in Cyber-Physical System: An Inertial-based Motion Capture and Recognition System","authors":"Huiying Zhou, Longqiang Wang, Baicun Wang, Geng Yang","doi":"10.1109/INDIN51773.2022.9976121","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976121","url":null,"abstract":"Human-centric cyber physical system has become one of the most promising approaches in Industry 4.0. Humans are not obtained adequate attention in the traditional industrial process although humans serve as the orchestrator and beneficiary in the system. Human-centric physical system pertains to a safe and beneficial working environment, to the respect of human rights. This paper implements the inertial motion capture system into the industrial process, which supports to monitor human’s motion and recognize working activities regarding the assessment of the ergonomic performances. The inertial motion capture system integrates wearable inertial measurement units and the Unity3D application together for reconstructing human motion. Quaternion-based calibration algorithm is employed to achieve sensor-to-body segment alignment. Convolutional neural network based model classifies different activities of an assembly task when motion data are input of the deep learning network. The feasibility of the proposed system is validated by experiments.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131149724","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}
Vitor Vasconcelos, E. Leão, Natanael Ribeiro, F. Vasques, C. Montez
{"title":"A Scheduled Cluster-Tree Topology to Enable Wide-Scale LoRaWAN Networks","authors":"Vitor Vasconcelos, E. Leão, Natanael Ribeiro, F. Vasques, C. Montez","doi":"10.1109/INDIN51773.2022.9976151","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976151","url":null,"abstract":"Wireless Sensor Networks (WSNs) based on the Long-Range radio modulation (LoRa) can use the LoRaWAN protocol as the medium access layer. However, this protocol only supports a single-hop star topology. As a consequence, devices can not use retransmissions along the network to extend their coverage area or to circumvent signal attenuation with distance, obstacles or interference from other radio sources. This paper proposes a multi-hop LoRaWAN wide-scale WSN based on a scheduled cluster-tree topology. This methodology can expand the spatial coverage of the network, decrease collisions, and improve overall network performance. A multi-hop cluster-tree topology eliminates the need for adjustments of LoRa radio parameters as an attempt to expand the single-hop coverage limitation. Simulation results show that the scheduled cluster-tree topology can scale the network coverage and significantly improve communication and energy consumption performances.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131161335","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":"Criteria to consider in a decision model for collaborative robot (cobot) adoption: A literature review","authors":"A. Silva, A. Simões, Renata Blanc","doi":"10.1109/INDIN51773.2022.9976113","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976113","url":null,"abstract":"Collaborative robots are being increasingly used by manufacturing companies due to their potential to help companies cope with market volatility. Before introducing this technology, companies face the decision phase where they determine the investment feasibility. Decision models for cobot adoption can assist decision-makers in this task, but they require previous identification of decision criteria. Since existing literature overlooked this issue, this study aims to provide a list of decision criteria that can be considered in the cobot adoption decision process. These criteria were identified by a literature review of the benefits, advantages, and disadvantages of cobot adoption. Results show that flexibility, competitiveness, ergonomics, quality, safety, space, mobility, ease of programming, technical features, human-robot collaboration, and productivity are important aspects to consider when deciding whether to invest in cobots. The findings of this study provide a better understanding of the decision process for cobot adoption by listing decision criteria along with some indicators, which is an important input for the design of a decision-making process.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115377198","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":"Dynamic Task Offloading Approach for Task Delay Reduction in the IoT-enabled Fog Computing Systems","authors":"Hoa Tran-Dang, Dong-Seong Kim","doi":"10.1109/indin51773.2022.9976147","DOIUrl":"https://doi.org/10.1109/indin51773.2022.9976147","url":null,"abstract":"Fog computing systems (FCS) have been widely integrated in the IoT-based applications aiming to improve the quality of services (QoS) such as low response service delay by performing the task computation nearby the task generation sources (i.e., IoT devices) on behalf of remote cloud servers. However, to achieve the objective of delay reduction remains challenging for offloading strategies due to the resource limitation of fog devices. In addition, a high rate of task requests combined with heavy tasks (i.e., large task size) may cause a high imbalance of workload distribution among the heterogeneous fog devices. To cope with the situation, this paper proposes a dynamic task offloading (DTO) approach, which is based on the resource states of fog devices to derive the task offloading policy dynamically. Accordingly, a task can be executed by either a single fog or multiple fog devices through parallel computation of subtasks to reduce the task execution delay. Through the extensive simulation analysis, the proposed approaches show potential advantages in reducing the average delay significantly in the systems with high rate of service requests and heterogeneous fog environment compared with the existing solutions.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114604675","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":"Graph Attention Network for Financial Aspect-based Sentiment Classification with Contrastive Learning","authors":"Zhenhuan Huang, Guansheng Wu, Xiang Qian, Baochang Zhang","doi":"10.1109/INDIN51773.2022.9976125","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976125","url":null,"abstract":"Aspect-based Sentiment Classification (ASC) task is a challenge in Natural Language Processing (NLP) and is especially important for fields that require detailed analysis like finance. It aims to identify the sentiment polarity of specific aspects in sentences. In addition to tweets and posts directly related to finance, news from such as restaurants and e-commerce may also indirectly affect its stock prices. In previous approaches, attention-based neural network models were mostly adopted to implicitly connect aspects with opinion words for better aspect representations. However, due to the complexity of language and the presence of multiple aspects in a single sentence, these existing models often confuse connections. To tackle this problem, we propose a model named GAS-CL which encodes syntactical structure into aspect representations and refines it with a contrastive loss. Experiments on several datasets confirm that our approach can have better aspect representations and achieve a significant improvement.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114800672","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}
Abdul Rehan Khan Mohammed, Jiayi Zhang, Ahmad Bilal
{"title":"Observer-Based Robust Adaptive Tracking for Uncertain Robot Manipulators with External Force Disturbance Rejection","authors":"Abdul Rehan Khan Mohammed, Jiayi Zhang, Ahmad Bilal","doi":"10.1109/INDIN51773.2022.9976068","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976068","url":null,"abstract":"With the rapid growth in technology, the industries are fast-moving from the current automation standing into robotisation to increase productivity and deliver uniform quality. This requirement, in turn, has escalated the demand for robot control schemes. This paper proposes an observer-based robust adaptive tracking control scheme to minimise model uncertainties and external force disturbance effect to control the robot manipulator. No considerations are required for the upper bound of system uncertainties and disturbances in the control design. Plus, the speed of variation and the magnitude of unknown parameters and perturbations are assumed to have no limitations. The proposed control scheme uses an adaptation mechanism for a high gain nonlinear observer along with simplicity and universality properties to ensure robust tracking and make the system follow the desired reference model. Simulation results show that the proposed robust adaptive control scheme achieves boundedness for all the closed-loop signals and convergence of the tracking error.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121820392","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}
Alejandro López, Lucas Sakurada, Paulo Leitão, O. Casquero, E. Estévez, F. D. L. Prieta, M. Marcos
{"title":"Technology-Independent Demonstrator for Testing Industry 4.0 Solutions","authors":"Alejandro López, Lucas Sakurada, Paulo Leitão, O. Casquero, E. Estévez, F. D. L. Prieta, M. Marcos","doi":"10.1109/INDIN51773.2022.9976144","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976144","url":null,"abstract":"Cyber-Physical Systems (CPS) are devoted to be the main participants in Industry 4.0 (I4.0) solutions. In recent years, many authors have focused their efforts on making proposals for the design and implementation of CPS based on different digital technologies. However, the comparative evaluation of these I4.0 solutions is complex, since there is no uniform criterion when it comes to defining the test scenarios and the metrics to assess them. This paper presents a technology-independent CPS demonstrator for benchmarking I4.0 solutions. To that end, a set of testing scenarios, Key Performance Indicators and services were defined considering the available automation cells setup. The proposed demonstrator has been used to test an I4.0 solution based on a Multi-agent Systems (MAS) approach.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"38 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125736430","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":"A General Intelligent Portfolio Theory with Strength Investing and Sector Rotation in Stock Markets","authors":"Heping Pan","doi":"10.1109/INDIN51773.2022.9976180","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976180","url":null,"abstract":"This paper walks through mathematical evolution of modern portfolio theory and multi-factor models and advances with a General Intelligent Portfolio Theory and underlying applications in stock markets. Following up the earlier form of the Intelligent Portfolio Theory, the new generalization extends in 3 dimensions: 1) three forms of intelligent portfolios – multi-asset multi-strategy, multi-strategy multi-asset and multi-trader; 2) strength investing with momentum rotation as an engine driving dynamic re-selection of assets or strategies or traders; 3) sector rotation in stock markets as a main form of strength investing and as a paradigm shift from diversification in portfolio theory. Applications in Chinese stock markets and international index futures are demonstrated with nontrivial performance achieved through testing on historical data.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125154012","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":"Identifying Security Requirements for Smart Grid Components: A Smart Grid Security Metric","authors":"M. Clausen, J. Schütz","doi":"10.1109/INDIN51773.2022.9976103","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976103","url":null,"abstract":"The most vital requirement for the electric power system as a critical infrastructure is its security of supply. In course of the transition of the electric energy system, however, the security provided by the N-1 principle increasingly reaches its limits. The IT/OT convergence changes the threat structure significantly. New risk factors, that can lead to major blackouts, are added to the existing ones. The problem, however, the cost of security optimizations are not always in proportion to their value. Not every component is equally critical to the energy system, so the question arises, \"How secure does my system need to be?\". To adress the security-by-design principle, this contribution introduces a Security Metric (SecMet) that can be applied to Smart Grid architectures and its components and deliver an indicator for the \"Securitisation Need\" based on an individual risk assessment.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121194608","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":"Reinforcement learning approach to implementation of individual controllers in data centre control system","authors":"Y. Berezovskaya, Chen-Wei Yang, V. Vyatkin","doi":"10.1109/INDIN51773.2022.9976179","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976179","url":null,"abstract":"Contemporary data centres consume electricity on an industrial scale and require control to improve energy efficiency and maintain high availability. The article proposes an idea and structure of the framework supporting development and validation of the multi-agent control for the energy-efficient data centre. The framework comprises two subsystems: the modelling toolbox and the controlling toolbox. This work focuses on such essential components of the controlling toolbox, as an individual controller. The reinforcement learning approach is applied to the controllers’ implementation. The server fan controller, named SF agent, is implemented based on the framework infrastructure and reinforcement learning approach. The agent’s capability of energy-saving is demonstrated.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121729507","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}