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2018 First International Conference on Artificial Intelligence for Industries (AI4I)最新文献

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Efficient Simulative Pass/Fail Characterization Applied to Automotive Power Steering 应用于汽车动力转向的高效仿真合格/不合格表征
2018 First International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2018-09-01 DOI: 10.1109/AI4I.2018.8665717
Jonas Stricker, Benno Koeppl, Andi Buzo, Jérôme Kirscher, L. Maurer, G. Pelz
{"title":"Efficient Simulative Pass/Fail Characterization Applied to Automotive Power Steering","authors":"Jonas Stricker, Benno Koeppl, Andi Buzo, Jérôme Kirscher, L. Maurer, G. Pelz","doi":"10.1109/AI4I.2018.8665717","DOIUrl":"https://doi.org/10.1109/AI4I.2018.8665717","url":null,"abstract":"Any component should optimally serve its application by providing exactly the right quantity of features and performances. This is called application fitness of a component. Application fitness can be assessed by simulating component models in an application model. Varying the component's performances may end up in a pass-or fail-behavior with regard to the application requirements. Characterizing the border between this pass and fails states is extremely helpful in the definition of the component's properties. With a number of component properties, this characterization problem gets complex. In this paper, we propose an approach for the planning of simulative experiments, to efficiently characterize this pass/fail border in n dimensions. Especially, smart sampling helps a lot to keep the simulation effort at bay, even if the pass or fail domain falls into a number of unconnected regions. The proposed approach is evaluated taking into account semiconductor components in an automotive electric power steering application. The smart sampling as proposed shows substantial improvements in the number of simulation runs while maintaining a comparable resolution at the border. 1","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124139782","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
Genetic Algorithm Based Parallelization Planning for Legacy Real-Time Embedded Programs 基于遗传算法的遗留实时嵌入式程序并行规划
2018 First International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2018-09-01 DOI: 10.1109/AI4I.2018.8665690
Zi-Cheng Han, Guangzhi Qu, Bo Liu, Anyi Liu, Weihua Cai, Dona Burkard
{"title":"Genetic Algorithm Based Parallelization Planning for Legacy Real-Time Embedded Programs","authors":"Zi-Cheng Han, Guangzhi Qu, Bo Liu, Anyi Liu, Weihua Cai, Dona Burkard","doi":"10.1109/AI4I.2018.8665690","DOIUrl":"https://doi.org/10.1109/AI4I.2018.8665690","url":null,"abstract":"Multicore platforms are pervasively deployed in many different sectors of industry. Hence, it is appealing to accelerate the execution through adapting the sequential programs to the underlying architecture to efficiently utilize the hardware resources, e.g., the multi-cores. However, the parallelization of legacy sequential programs remains a grand challenge due to the complexity of the program analysis and dynamics of the runtime environment. This paper focuses on parallelization planning in that the best parallelization candidates would be determined after the parallelism discovery in the target large sequential programs. In this endeavor, a genetic algorithm based method is deployed to help find an optimal solution considering different aspects from the task decomposition to solution evaluation while achieving the maximized speedup. We have experimented the proposed approach on industrial real time embedded application to reveal excellent speedup results.","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124031383","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
Machine Learning, A Tutorial with R 机器学习，R语言教程
2018 First International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2018-09-01 DOI: 10.1109/AI4I.2018.8665676
Joseph R. Barr
{"title":"Machine Learning, A Tutorial with R","authors":"Joseph R. Barr","doi":"10.1109/AI4I.2018.8665676","DOIUrl":"https://doi.org/10.1109/AI4I.2018.8665676","url":null,"abstract":"This briefest whirlwind of a tutorial is aimed to pique your appetite by introducing machine learning techniques and procedures on the R platform, especially using the H2O computational framework.","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124571446","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
Used Car Pricing and Beyond: A Survival Analysis Framework 二手车定价及其后:一个生存分析框架
2018 First International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2018-09-01 DOI: 10.1109/AI4I.2018.8665680
A. Demiriz
{"title":"Used Car Pricing and Beyond: A Survival Analysis Framework","authors":"A. Demiriz","doi":"10.1109/AI4I.2018.8665680","DOIUrl":"https://doi.org/10.1109/AI4I.2018.8665680","url":null,"abstract":"A significant part of the overall automotive market is derived from the used car trade. Determining correctly the used car market values will certainly help achieving fairer trade in many economies. By using the web listings as a proxy data source, we can create some models for the used car pricing based on the asking prices listed in the web adverts. This type of data acquisition requires a thorough data cleaning process to generate dependable statistical models after all. This paper proposes a survival analysis based approach to study the lifetime of the used car listings that can be found at web sites like Craigslist. Pricing models can be easily built to determine the market values of the used-cars from this type of data. One of the most important assumptions in our approach is to consider the delisting of an advert as a sale event. This is also equivalent to the death in the survival analysis context. Since the collected data have labels in terms of sale or not, we can utilize the predictive models to determine whether a particular car at a certain price will be successfully sold or not.","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129072317","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
2018 First International Conference on Artificial Intelligence for Industries AI4I 2018 2018第一届工业人工智能国际会议AI4I 2018
2018 First International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2018-09-01 DOI: 10.1109/ai4i.2018.8665697
{"title":"2018 First International Conference on Artificial Intelligence for Industries AI4I 2018","authors":"","doi":"10.1109/ai4i.2018.8665697","DOIUrl":"https://doi.org/10.1109/ai4i.2018.8665697","url":null,"abstract":"","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125836805","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
Towards Enterprise-Ready AI Deployments Minimizing the Risk of Consuming AI Models in Business Applications 实现企业级AI部署，最大限度地降低在业务应用程序中使用AI模型的风险
2018 First International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2018-09-01 DOI: 10.1109/AI4I.2018.8665685
Vinod Muthusamy, Aleksander Slominski, Vatche Isahagian
{"title":"Towards Enterprise-Ready AI Deployments Minimizing the Risk of Consuming AI Models in Business Applications","authors":"Vinod Muthusamy, Aleksander Slominski, Vatche Isahagian","doi":"10.1109/AI4I.2018.8665685","DOIUrl":"https://doi.org/10.1109/AI4I.2018.8665685","url":null,"abstract":"The stochastic nature of artificial intelligence (AI) models introduces risk to business applications that use AI models without careful consideration. This paper offers an approach to use AI techniques to gain insights on the usage of the AI models and control how they are deployed to a production application.","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"20 74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130564763","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: 16
Developing Logistics and Supply Chain Management by Using Agent-Based Simulation 利用基于代理的模拟发展物流和供应链管理
2018 First International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2018-09-01 DOI: 10.1109/AI4I.2018.8665707
Javad Rouzafzoon, P. Helo
{"title":"Developing Logistics and Supply Chain Management by Using Agent-Based Simulation","authors":"Javad Rouzafzoon, P. Helo","doi":"10.1109/AI4I.2018.8665707","DOIUrl":"https://doi.org/10.1109/AI4I.2018.8665707","url":null,"abstract":"Agent-based simulation provides new opportunities to resolve companies' complex problems. This paper presents an agent-based modeling approach for resolving the vehicle scheduling and fleet optimization problem. The method is implemented on case company data and various key performance indicators are generated to measure the efficiency of the solution.","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133804825","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
Message from the ai4i 2018 Program Co-Chairs ai4i 2018项目联合主席致辞
2018 First International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2018-09-01 DOI: 10.1109/ai4i.2018.8665718
{"title":"Message from the ai4i 2018 Program Co-Chairs","authors":"","doi":"10.1109/ai4i.2018.8665718","DOIUrl":"https://doi.org/10.1109/ai4i.2018.8665718","url":null,"abstract":"","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122294883","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
Gait Recognition with Smart Devices Assisting Postoperative Rehabilitation in a Clinical Setting 步态识别与智能设备协助术后康复的临床设置
2018 First International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2018-09-01 DOI: 10.1109/AI4I.2018.8665677
Athanasios I. Kyritsis, G. Willems, Michel Deriaz, D. Konstantas
{"title":"Gait Recognition with Smart Devices Assisting Postoperative Rehabilitation in a Clinical Setting","authors":"Athanasios I. Kyritsis, G. Willems, Michel Deriaz, D. Konstantas","doi":"10.1109/AI4I.2018.8665677","DOIUrl":"https://doi.org/10.1109/AI4I.2018.8665677","url":null,"abstract":"Postoperative rehabilitation is a vital program that re-establishes joint motion and strengthens the muscles around the joint after an orthopedic surgery. This kind of rehabilitation is led by physiotherapists who assess each situation and prescribe appropriate exercises. Modern smart devices have affected every aspect of human life. Newly developed technologies have disrupted the way various industries operate, including the healthcare one. Extensive research has been carried out on how smartphone inertial sensors can be used for activity recognition. However, there are very few studies on systems that monitor patients and detect different gait patterns in order to assist the work of physiotherapists during the said rehabilitation phase, even outside the time-limited physiotherapy sessions, and therefore literature on this topic is still in its infancy. In this paper, we are presenting a gait recognition system that was developed to detect different gait patterns including walking with crutches with various levels of weight-bearing, walking with different frames, limping and walking normally. The proposed system was trained, tested and validated with data of people who have undergone lower body orthopedic surgery, recorded by Hirslanden Clinique La Colline, an orthopedic clinic in Geneva, Switzerland. A gait detection accuracy of 94.9% was achieved among nine different gait classes, as these were labeled by professional physiotherapists.","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124903834","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
2018 First IEEE International Conference on Artificial Intelligence for Industries 2018首届IEEE工业人工智能国际会议
2018 First International Conference on Artificial Intelligence for Industries (AI4I) Pub Date : 2018-09-01 DOI: 10.1109/ai4i.2018.8665699
{"title":"2018 First IEEE International Conference on Artificial Intelligence for Industries","authors":"","doi":"10.1109/ai4i.2018.8665699","DOIUrl":"https://doi.org/10.1109/ai4i.2018.8665699","url":null,"abstract":"","PeriodicalId":133657,"journal":{"name":"2018 First International Conference on Artificial Intelligence for Industries (AI4I)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190929","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
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