2018 Annual IEEE International Systems Conference (SysCon)最新文献_第2页

Remote and dynamic assessment of reliability in electromechanical actuator systems 机电致动器系统可靠性的远程和动态评估

2018 Annual IEEE International Systems Conference (SysCon) Pub Date : 2018-04-23 DOI: 10.1109/SYSCON.2018.8369537

Miles Brim, J. Cale

引用次数: 0

Architecture for testing learning-based autonomous vehicle control design 基于测试学习的自动驾驶汽车控制设计体系结构

2018 Annual IEEE International Systems Conference (SysCon) Pub Date : 2018-04-23 DOI: 10.1109/SYSCON.2018.8369551

Michael Kogan, P. Jardine, S. Givigi

{"title":"Architecture for testing learning-based autonomous vehicle control design","authors":"Michael Kogan, P. Jardine, S. Givigi","doi":"10.1109/SYSCON.2018.8369551","DOIUrl":"https://doi.org/10.1109/SYSCON.2018.8369551","url":null,"abstract":"This paper presents the architecture for the testing of autonomous vehicle controllers designed using machine learning. A localization system feeds measurement data into a ground station. The ground station processes this data and provides the position of the vehicle to the controller, which has been tuned offline via machine learning. Control inputs are then generated and provided to the vehicle in order to accomplish the desired mission. The performance of the learned controller is compared to a nominal case. During the offline tuning process, a vehicle model is used to simulate the actual vehicle. Once tuning is complete, the parameters are used to control a real vehicle in order to accomplish the desired mission. The proposed architecture was tested by tuning a model predictive controller to guide a differential drive robot to a series of waypoints using a Reinforced Learning technique known as Learning Automata. The controller was then tested online with a similar but different problem on a real differential drive robot. The results showed that after tuning, the vehicle performed significantly better. This demonstrated that offline learning techniques can be used to optimally select controller parameters.","PeriodicalId":438488,"journal":{"name":"2018 Annual IEEE International Systems Conference (SysCon)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130233671","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: 2

An interactive architecture for industrial scale prediction: Industry 4.0 adaptation of machine learning 工业规模预测的交互式架构:机器学习的工业4.0适应

2018 Annual IEEE International Systems Conference (SysCon) Pub Date : 2018-04-23 DOI: 10.1109/SYSCON.2018.8369547

R. Dutta, H. Mueller, D. Liang

{"title":"An interactive architecture for industrial scale prediction: Industry 4.0 adaptation of machine learning","authors":"R. Dutta, H. Mueller, D. Liang","doi":"10.1109/SYSCON.2018.8369547","DOIUrl":"https://doi.org/10.1109/SYSCON.2018.8369547","url":null,"abstract":"According to wiki definition, there are four design principles in Industry 4.0. These principles support companies in identifying and implementing Industry 4.0 scenarios, namely, Interoperability, Information transparency, Technical assistance, Decentralized decisions. In this paper we have discussed our work on an implementation of a machine learning based interactive architecture for industrial scale prediction for dynamic distribution of water resources across the continent, keeping the four corners of Industry 4.0 in place. We report the possibility of producing most probable high resolution estimation regarding the water balance in any region within Australia by implementation of an intelligent system that can integrate spatial-temporal data from various independent sensors and models, with the ground truth data produced by 250 practitioners from the irrigation industry across Australia. This architectural implementation on a cloud computing platform linked with a freely distributed mobile application, allowing interactive ground truthing of a machine learning model on a continental scale, shows accuracy of 90% with 85% sensitivity of correct surface soil moisture estimation with end users at its complete control. Along with high level of information transparency and interoperability, providing on-demand technical supports and motivating users by allowing them to customize and control their own local predictive models, show the successfulness of principles in Industry 4.0 in real environmental issues in the future adaptation in various industries starting from resource management to modern generation soft robotics.","PeriodicalId":438488,"journal":{"name":"2018 Annual IEEE International Systems Conference (SysCon)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125445452","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: 3

Expected nodes in target sensing area in wireless sensor networks 无线传感器网络中目标感知区域的期望节点

2018 Annual IEEE International Systems Conference (SysCon) Pub Date : 2018-04-23 DOI: 10.1109/SYSCON.2018.8369503

K. Hadi

引用次数: 1

High latency cause detection using multilevel dynamic analysis 使用多级动态分析进行高延迟原因检测

2018 Annual IEEE International Systems Conference (SysCon) Pub Date : 2018-04-23 DOI: 10.1109/SYSCON.2018.8369613

Naser Ezzati-Jivan, Genevieve Bastien, M. Dagenais

{"title":"High latency cause detection using multilevel dynamic analysis","authors":"Naser Ezzati-Jivan, Genevieve Bastien, M. Dagenais","doi":"10.1109/SYSCON.2018.8369613","DOIUrl":"https://doi.org/10.1109/SYSCON.2018.8369613","url":null,"abstract":"The performance of applications remains a major concern to programmers. An unexpected latency can be caused by a bug or a bad program design, but it can also be caused by external factors such as resource contention or system overload. There exist tools, program profilers, that are used to detect latency. These tools, however, provide a limited view of a system's execution. For example, user space profilers can only detect slow functions but are unable to pinpoint the root causes-whether the problem comes from a slow I/O operation, interrupt, lock contention, or other problems. Kernel tracers, on the other hand, are able to collect detailed information about the operating system execution at various levels from hardware counters to system calls, disks, network I/O, etc, from which the main performance problems can be detected. In this paper, we combine user space and kernel space tracing data to understand and diagnose system performance problems and to guide users to identify the root causes. Our approach works by making a single data model by synchronizing and correlating the data gathered from different layers. We show the effectiveness of our approach by applying it to understand the latency of PHP web applications in handling web requests.","PeriodicalId":438488,"journal":{"name":"2018 Annual IEEE International Systems Conference (SysCon)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114831611","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

Mechatronic system design with manufacturing constraints using set-based concurrent engineering 基于集合并行工程的制造约束机电系统设计

2018 Annual IEEE International Systems Conference (SysCon) Pub Date : 2018-04-23 DOI: 10.1109/SYSCON.2018.8369513

Randa Ammar, M. Hammadi, J. Choley, M. Barkallah, J. Louati

{"title":"Mechatronic system design with manufacturing constraints using set-based concurrent engineering","authors":"Randa Ammar, M. Hammadi, J. Choley, M. Barkallah, J. Louati","doi":"10.1109/SYSCON.2018.8369513","DOIUrl":"https://doi.org/10.1109/SYSCON.2018.8369513","url":null,"abstract":"Mechatronics expresses the close integration of mechanics, electrics/electronics, control engineering and software engineering. The design of mechatronic systems follows the traditional point-based design method, which drawback is the decrease of the potential of innovation, by limiting the design space to few solutions. The Set-Based Concurrent Engineering SBCE, however, begins by broadly considering sets of possible solutions and gradually narrowing the set of possibilities to converge on a final solution. Nevertheless, few industrials in the mechatronic field are using SBCE concept, because of the difficulty to implement it. In this paper, we show how to apply the SBCE concept for mechatronic systems, with an application to an industrial case study of an Electronic Throttle Body (ETB), used to regulate the amount of air in an internal combustion engine. The results show that with a well-structured SBCE process model, we can explore the big number of solutions that we generate when dealing with mechatronic systems, and then we progressively reduce the set of possibilities to the final system design.","PeriodicalId":438488,"journal":{"name":"2018 Annual IEEE International Systems Conference (SysCon)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116452220","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: 2

Concurrent and geometry-dependent selection of material and joining technology — An initial utility-based systematic decision-making tool 材料和连接技术的同步和几何相关选择——一种基于效用的初始系统决策工具

2018 Annual IEEE International Systems Conference (SysCon) Pub Date : 2018-04-23 DOI: 10.1109/SYSCON.2018.8369549

J. Kaspar, S. Choudry, D. Landgrebe, M. Vielhaber

{"title":"Concurrent and geometry-dependent selection of material and joining technology — An initial utility-based systematic decision-making tool","authors":"J. Kaspar, S. Choudry, D. Landgrebe, M. Vielhaber","doi":"10.1109/SYSCON.2018.8369549","DOIUrl":"https://doi.org/10.1109/SYSCON.2018.8369549","url":null,"abstract":"Today, the requested multi-objective engineering design process is difficult and time-consuming when faced with the large number of available materials and its complex relations to design as well as manufacturing and joining processes. For this specific purpose, multi-criteria decision-making (MCDM) methods are seen as one of the key factors within the modern product development when designing cost-benefit optimized multi-material systems. However, this multi-criteria optimization process should not merely be considered on the basis of the design, materials and manufacturing processes of exclusively one single component, but tally far more closely with regard to systemic or rather cross-component aspects, and thus additionally covers such issues as the ever more relevant integrated choice of the right joining technology. Concerning this matter, the contribution presents an initial utility-based decision-making tool regarding a concurrent systematic and geometry-dependent material and joining technology selection to facilitate a real-world technological selection process in computer-based form taking all systemic dimensions and basic (technical, economic, ecological) assessment criteria into account.","PeriodicalId":438488,"journal":{"name":"2018 Annual IEEE International Systems Conference (SysCon)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123596745","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

System complexity leadership: The relationship between emotion and decision-making 系统复杂性领导:情绪与决策的关系

2018 Annual IEEE International Systems Conference (SysCon) Pub Date : 2018-04-23 DOI: 10.1109/SYSCON.2018.8369540

Leonie Hallo, I. Gunawan, Tiep Nguyen

引用次数: 2

A performability model for the BRT system BRT系统的可执行性模型

2018 Annual IEEE International Systems Conference (SysCon) Pub Date : 2018-04-23 DOI: 10.1109/SYSCON.2018.8369608

R. Dantas, J. Dantas, Carlos Melo, P. Maciel, Gabriel Alves

引用次数: 3

The effects of demand elasticity and selling price decisions on the value of information 需求弹性和销售价格决策对信息价值的影响

2018 Annual IEEE International Systems Conference (SysCon) Pub Date : 2018-04-23 DOI: 10.1109/SYSCON.2018.8369489

A. Abbas, M. Zellner

引用次数: 2