2022 IEEE 20th International Conference on Industrial Informatics (INDIN)最新文献_第9页

Criteria to consider in a decision model for collaborative robot (cobot) adoption: A literature review 协作机器人(cobot)采用决策模型的标准:文献综述

2022 IEEE 20th International Conference on Industrial Informatics (INDIN) Pub Date : 2022-07-25 DOI: 10.1109/INDIN51773.2022.9976113

A. Silva, A. Simões, Renata Blanc

{"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}

引用次数: 0

Configuration of Parallel Real-Time Applications on Multi-Core Processors 多核处理器上并行实时应用的配置

2022 IEEE 20th International Conference on Industrial Informatics (INDIN) Pub Date : 2022-07-25 DOI: 10.1109/INDIN51773.2022.9976163

Mohammad Samadi Gharajeh, Tiago Carvalho, L. M. Pinho

{"title":"Configuration of Parallel Real-Time Applications on Multi-Core Processors","authors":"Mohammad Samadi Gharajeh, Tiago Carvalho, L. M. Pinho","doi":"10.1109/INDIN51773.2022.9976163","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976163","url":null,"abstract":"Parallel programming models (e.g., OpenMP) are more and more used to improve the performance of real-time applications in modern processors. Nevertheless, these processors have complex architectures, being very difficult to understand their timing behavior. The main challenge with most of existing works is that they apply static timing analysis for simpler models or measurement-based analysis using traditional platforms (e.g., single core) or considering only sequential algorithms. How to provide an efficient configuration for the allocation of the parallel program in the computing units of the processor is still an open challenge. This paper studies the problem of performing timing analysis on complex multi-core platforms, pointing out a methodology to understand the applications’ timing behavior, and guide the configuration of the platform. As an example, the paper uses an OpenMP-based program of the Heat benchmark on a NVIDIA Jetson AGX Xavier. The main objectives are to analyze the execution time of OpenMP tasks, specify the best configuration of OpenMP directives, identify critical tasks, and discuss the predictability of the system/application. A Linux perf based measurement tool, which has been extended by our team, is applied to measure each task across multiple executions in terms of total CPU cycles, the number of cache accesses, and the number of cache misses at different cache levels, including L1, L2 and L3. The evaluation process is performed using the measurement of the performance metrics by our tool to study the predictability of the system/application.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"80 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":"116225126","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

Control of Battery Storage Systems in Residential Grids: Model-based vs. Data-Driven Approaches 住宅电网中电池存储系统的控制:基于模型与数据驱动的方法

2022 IEEE 20th International Conference on Industrial Informatics (INDIN) Pub Date : 2022-07-25 DOI: 10.1109/INDIN51773.2022.9976136

S. Sajjadi, N. Bazmohammadi, A. Amani, M. Jalili, J. Guerrero, Xinghuo Yu

{"title":"Control of Battery Storage Systems in Residential Grids: Model-based vs. Data-Driven Approaches","authors":"S. Sajjadi, N. Bazmohammadi, A. Amani, M. Jalili, J. Guerrero, Xinghuo Yu","doi":"10.1109/INDIN51773.2022.9976136","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976136","url":null,"abstract":"In this paper, control of Battery Storage Systems (BSS) in power distribution grids with residential consumers as well as prosumers equipped with rooftop photovoltaic (PV) solar panels and Electric Vehicles (EV) is addressed. Different features of these Distributed Energy Resources (DERs), such as intermittent behaviour and the difference between the maximum generation time and the maximum demand, have caused several issues for electricity distributors in delivering high quality power. Smart control and scheduling of ESS and EVs is a promising approach to protect the grid against extra power injection from prosumers during day times while the benefit of household owners from DERs are still achieved. In this context, the performance of model-based controllers such as model predictive controllers (MPC) is compared with model-free data driven controllers (DDC) considering different complex scenarios that may happen in a distribution grid. The control objective is to minimize the difference between the net power exchanged with the main grid from the estimated average net load of prosumers. Our study on the real consumption data of about 40 residential consumers/prosumers in Victoria, Australia, demonstrates the strength of data-driven control approaches to deal with the complex environment of power distribution grids in the presence of DERs.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"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":"127875936","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

Partial Domain Intelligent Diagnosis Method for Rotor-Bearing System Based on Deep Learning 基于深度学习的转子-轴承系统局部域智能诊断方法

2022 IEEE 20th International Conference on Industrial Informatics (INDIN) Pub Date : 2022-07-25 DOI: 10.1109/INDIN51773.2022.9976132

Xiaoyue Liu, Cong Peng

{"title":"Partial Domain Intelligent Diagnosis Method for Rotor-Bearing System Based on Deep Learning","authors":"Xiaoyue Liu, Cong Peng","doi":"10.1109/INDIN51773.2022.9976132","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976132","url":null,"abstract":"Recently, deep transfer learning (TL) has successfully addressed the problem of fault diagnosis under variable operating conditions. Existing methods default that the source and target domains have the same label space, and solve distribution discrepancy problem under different working conditions by aligning their feature distributions. However, in the practical industry, is unlikely to guarantee the health conditions of the target domain data are consistent with the source domain. Therefore, industrial applications usually face the challenge of more difficult partial domain diagnosis scenarios. In this paper, a deep partial domain adaptation network based on a balanced alignment constraint strategy is proposed to realize cross-domain diagnosis. The proposed method combines balanced augmentation and subdomain alignment, which can effectively facilitate the positive transfer of shared categories. Meanwhile, the conditional entropy minimization is introduced to encourage the predictions of target domain samples with high confidence. The experimental results on the rolling bearing dataset verify the effectiveness and feasibility of the proposed method in handling the actual partial domain fault diagnosis problem.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"2014 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":"127401206","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

Fundamental Quantitative Investment Theory and Technical System Based On Multi-Factor Models 基于多因素模型的基本定量投资理论与技术体系

2022 IEEE 20th International Conference on Industrial Informatics (INDIN) Pub Date : 2022-07-25 DOI: 10.1109/INDIN51773.2022.9976124

Li Zhao, Nathee Naktnasukanjn, Lei Mu, Haichuan Liu, Heping Pan

引用次数: 0

A General Intelligent Portfolio Theory with Strength Investing and Sector Rotation in Stock Markets 股票市场中具有优势投资和板块轮换的一般智能投资组合理论

2022 IEEE 20th International Conference on Industrial Informatics (INDIN) Pub Date : 2022-07-25 DOI: 10.1109/INDIN51773.2022.9976180

Heping Pan

引用次数: 0

Less is More: Bitcoin Volatility Forecast Using Feature Selection and Deep Learning Models 少即是多:使用特征选择和深度学习模型预测比特币波动

2022 IEEE 20th International Conference on Industrial Informatics (INDIN) Pub Date : 2022-07-25 DOI: 10.1109/INDIN51773.2022.9976100

Haiping Wang, Xing Zhou

引用次数: 0

Technology-Independent Demonstrator for Testing Industry 4.0 Solutions 技术独立的工业4.0解决方案测试示范

2022 IEEE 20th International Conference on Industrial Informatics (INDIN) Pub Date : 2022-07-25 DOI: 10.1109/INDIN51773.2022.9976144

Alejandro López, Lucas Sakurada, Paulo Leitão, O. Casquero, E. Estévez, F. D. L. Prieta, M. Marcos

引用次数: 1

Orthoimage Super-Resolution via Deep Convolutional Neural Networks 基于深度卷积神经网络的正射影超分辨率

2022 IEEE 20th International Conference on Industrial Informatics (INDIN) Pub Date : 2022-07-25 DOI: 10.1109/INDIN51773.2022.9976074

V. Berezovsky, Yunfeng Bai, Ivan Sharshov, R. Aleshko, K. Shoshina, I. Vasendina

引用次数: 0

Network Calculus-based Routing and Scheduling in Software-defined Industrial Internet of Things 软件定义工业物联网中基于网络演算的路由与调度

2022 IEEE 20th International Conference on Industrial Informatics (INDIN) Pub Date : 2022-07-25 DOI: 10.1109/INDIN51773.2022.9976177

Luyue Ji, Wen-Ruey Wu, Chaojie Gu, Jichao Bi, Shibo He, Zhiguo Shi

{"title":"Network Calculus-based Routing and Scheduling in Software-defined Industrial Internet of Things","authors":"Luyue Ji, Wen-Ruey Wu, Chaojie Gu, Jichao Bi, Shibo He, Zhiguo Shi","doi":"10.1109/INDIN51773.2022.9976177","DOIUrl":"https://doi.org/10.1109/INDIN51773.2022.9976177","url":null,"abstract":"With the emergence of Industry 5.0, it is significant to enable efficient cooperation between humans and machines in the Industrial Internet of Things (IIoT). However, achieving real-time and reliable transmission of data flows deriving from time-sensitive applications in IIoT remains an open challenge. In this paper, we propose a three-layer software-defined IIoT (SDIIoT) architecture to enable multiple industrial services and flexible network configuration. In particular, when network services change frequently in SDIIoT, the delay of the control plane has a great influence on the end-to-end delay of data flows. To address this issue, we portray two different service curves of OpenFlow switches to adapt to dynamic network status based on Network Calculus (NC). To elevate resource efficiency and comply with friendly environments, we minimize the total worst-case network cost under strict resource constraints and transmission requirements by exploiting the joint flow routing and scheduling algorithm (JFRSA). Our numerical simulation results demonstrate the effectiveness and efficiency of our solution.","PeriodicalId":359190,"journal":{"name":"2022 IEEE 20th International Conference on Industrial Informatics (INDIN)","volume":"157 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":"124405780","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