2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC)最新文献

Towards a generic computation model for smart city platforms 面向智慧城市平台的通用计算模型

2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC) Pub Date : 2016-04-11 DOI: 10.1109/SCOPE.2016.7515059

Subhav Pradhan, A. Dubey, S. Neema, A. Gokhale

{"title":"Towards a generic computation model for smart city platforms","authors":"Subhav Pradhan, A. Dubey, S. Neema, A. Gokhale","doi":"10.1109/SCOPE.2016.7515059","DOIUrl":"https://doi.org/10.1109/SCOPE.2016.7515059","url":null,"abstract":"Smart emergency response systems, smart transportation systems, smart parking spaces are some examples of multi-domain smart city systems that require large-scale, open platforms for integration and execution. These platforms illustrate high degree of heterogeneity. In this paper, we focus on software heterogeneity arising from different types of applications. The source of variability among applications stems from (a) timing requirements, (b) rate and volume of data they interact with, and (c) behavior depending on whether they are stateful or stateless. These variations result in applications with different computation models. However, a smart city system can comprise multi-domain applications with different types and therefore computation models. As such, a key challenge that arises is that of integration; we require some mechanism to facilitate integration and interaction between applications that use different computation models. In this paper, we first identify computation models based on different application types. Second, we present a generic computation model and explain how it can map to previously identified computation models. Finally, we briefly describe how the generic computation model fits in our overall smart city platform architecture.","PeriodicalId":300592,"journal":{"name":"2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126448520","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: 8

OSU SMOOTH in a Smart City 智慧城市中的OSU SMOOTH

2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC) Pub Date : 2016-04-11 DOI: 10.1109/SCOPE.2016.7515057

Michael Vernier, K. Redmill, U. Ozguner, A. Kurt, Bilin Aksun Guvenc

{"title":"OSU SMOOTH in a Smart City","authors":"Michael Vernier, K. Redmill, U. Ozguner, A. Kurt, Bilin Aksun Guvenc","doi":"10.1109/SCOPE.2016.7515057","DOIUrl":"https://doi.org/10.1109/SCOPE.2016.7515057","url":null,"abstract":"As the city infrastructure becomes more intelligent, individuals will have access to many different flavors of transportation. As this growth continues, problems in the current structure are found. Particularly in the U.S., the first mile and the last mile of an individual's commute can be the weakest links due to the distance from their home to a public transportation acces point and from another access point to their final destination. This is especially true for those with impaired mobility, e.g. injury or disability. In this paper, a system called SMOOTH (Smart Mobile Operation: OSU Transportation Hub) will be discussed. The primary goal of SMOOTH is to augment current public transportation infrastructure by providing users with access to a heterogeneous network of on-demand autonomous vehicles. A mobile-first web application is used to schedule the pickup and drop-off locations of the trip. The system has been designed to maximize scalability for future city-wide deployments. Initial testing on the Ohio State University Campus has been completed with two vehicle platforms, a single passenger mobility scooter and a four passenger golf cart.","PeriodicalId":300592,"journal":{"name":"2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125767951","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: 10

Platforms for Smart Cities – connecting humans, infrastructure and industrial IT 智慧城市平台——连接人类、基础设施和工业IT

2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC) Pub Date : 2016-04-11 DOI: 10.1109/SCOPE.2016.7515056

Martin Lehofer, M. Heiss, Sophie Rogenhofer, Chang Wei Weng, Monika Sturm, Sebnem Rusitschka, S. Dippl

引用次数: 13

Interactive analytics for smart cities infrastructures 智能城市基础设施的交互式分析

2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC) Pub Date : 2016-04-11 DOI: 10.1109/SCOPE.2016.7515055

Madhur Behl, R. Mangharam

{"title":"Interactive analytics for smart cities infrastructures","authors":"Madhur Behl, R. Mangharam","doi":"10.1109/SCOPE.2016.7515055","DOIUrl":"https://doi.org/10.1109/SCOPE.2016.7515055","url":null,"abstract":"Infrastructures in smart cities are complex systems, more than the sum of their parts, and operate through a multitude of individual and collective decisions. These systems are experiencing a gradual but substantial change in moving away from being non-interactive and manually-controlled systems to utilizing tight integration of both cyber (computation, communications, and control) and physical representations guided by first principles, at all scales and levels. As a result, facility managers for such systems are demanding more control over the system operation. They prefer data-driven insights into performance and usage across their portfolios to make more effective decisions. Such insights help determine, if the system is operating efficiently and enable the facilities manager/system operator to investigate areas for improvement and evaluate upgrades. In this paper we describe one such system, which uses data-driven control-oriented models to build a data intelligence layer for the underlying physical infrastructure. Our system provides interactive analytics for the operator by answering queries and making recommendations about the systems operation. We extend our previous work with using regression trees ensembles for predictive modeling of these large and 'messy' systems, and show how tree based models can be converted into a knowledge discovery database. We present preliminary results for this system using data from a large office building.","PeriodicalId":300592,"journal":{"name":"2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134487872","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

Catalyzing the Internet of Things and smart cities: Global City Teams Challenge 催化物联网和智慧城市:全球城市团队挑战赛

2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC) Pub Date : 2016-04-11 DOI: 10.1109/SCOPE.2016.7515058

S. Rhee

引用次数: 33

Smart building energy efficiency via social game: a robust utility learning framework for closing–the–loop 通过社交游戏实现智能建筑能源效率:闭环的强大效用学习框架

2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC) Pub Date : 2016-04-11 DOI: 10.1109/SCOPE.2016.7515054

Ioannis C. Konstantakopoulos, L. Ratliff, Ming Jin, C. Spanos, S. Sastry

引用次数: 17

Reliable crowdsourced event detection in smartcities 智能城市中可靠的众包事件检测

2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC) (SCOPE - GCTC) Pub Date : 2016-04-11 DOI: 10.1109/SCOPE.2016.7515060

Ioannis Boutsis, V. Kalogeraki, Dimitrios Guno

引用次数: 11