Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation最新文献

COLTRANE 柯川

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360853

Arian Prabowo, Piotr Koniusz, W. Shao, F. Salim

{"title":"COLTRANE","authors":"Arian Prabowo, Piotr Koniusz, W. Shao, F. Salim","doi":"10.1145/3360322.3360853","DOIUrl":"https://doi.org/10.1145/3360322.3360853","url":null,"abstract":"The process of automatic generation of a road map from GPS trajectories, called map inference, remains a challenging task to perform on a geospatial data from a variety of domains as the majority of existing studies focus on road maps in cities. Inherently, existing algorithms are not guaranteed to work on unusual geospatial sites, such as an airport tarmac, pedestrianized paths and shortcuts, or animal migration routes, etc. Moreover, deep learning has not been explored well enough for such tasks. This paper introduces COLTRANE, ConvolutiOnaL TRAjectory NEtwork, a novel deep map inference framework which operates on GPS trajectories collected in various environments. This framework includes an Iterated Trajectory Mean Shift (ITMS) module to localize road centerlines, which copes with noisy GPS data points. Convolutional Neural Network trained on our novel trajectory descriptor is then introduced into our framework to detect and accurately classify junctions for refinement of the road maps. COLTRANE yields up to 37% improvement in F1 scores over existing methods on two distinct real-world datasets: city roads and airport tarmac.","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123240479","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: 14

One for all, All for one: a scalable decision-making framework for demand response with a district cooling plant 我为人人，人人为我:一个可扩展的决策框架的需求响应与区域冷却厂

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360850

S. Nagarathinam, H. Muralidharan, Arunchandar Vasan, V. Sarangan, S. Narayana, A. Sivasubramaniam

{"title":"One for all, All for one: a scalable decision-making framework for demand response with a district cooling plant","authors":"S. Nagarathinam, H. Muralidharan, Arunchandar Vasan, V. Sarangan, S. Narayana, A. Sivasubramaniam","doi":"10.1145/3360322.3360850","DOIUrl":"https://doi.org/10.1145/3360322.3360850","url":null,"abstract":"During demand response events, utility customers typically make decisions to reduce their own load independent of other customers. In the presence of district cooling with a centralized cooling plant, the control decisions of buildings and the district cooling plant become coupled, since the setpoints chosen by the cooling plant affect the consumption of the buildings and vice versa. While past works on demand response address control of building-level heating and cooling systems, control of such systems in the presence of district cooling has not received much attention. We consider the problem of minimizing the discomfort of buildings while meeting the target demand reduction. Specifically, we identify the optimal setpoints for the buildings and district cooling plant, even while obeying the non-linear, coupled thermodynamic constraints between the district cooling plant and buildings. We propose a novel solution strategy using domain knowledge that transforms the complex non-linear optimization problem to a series of quadratic programming which can be then solved conventionally. We validate the performance of the proposed strategy by comparing it with a combinatorial brute-force solution on a small data set. We also evaluate the performance of our strategy on a real-world data set of 416 buildings that are served by a district cooling plant. The results indicate that including the district plant in demand response and solving with the coupled constraints, allows the utility to meet higher target reductions for the same comfort levels. Also, the proposed solution strategy is both fast (at least 4x) and scalable (35x) when compared with conventional optimization solvers.","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115243624","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

Fine-Grained Recognition of Activities of Daily Living through Structural Vibration and Electrical Sensing 通过结构振动和电传感对日常生活活动进行细粒度识别

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360851

Shijia Pan, M. Berges, Juleen L Rodakowski, Pei Zhang, H. Noh

{"title":"Fine-Grained Recognition of Activities of Daily Living through Structural Vibration and Electrical Sensing","authors":"Shijia Pan, M. Berges, Juleen L Rodakowski, Pei Zhang, H. Noh","doi":"10.1145/3360322.3360851","DOIUrl":"https://doi.org/10.1145/3360322.3360851","url":null,"abstract":"Fine-grained non-intrusive monitoring of activities of daily living (ADL) enables various smart building applications, including ADL pattern assessments for older adults at risk for loss of safety or independence. Prior work in this area has focused on coarsegrained ADL recognition at the activity level (e.g., cooking, cleaning, sleeping), and/or course-grained (hourly or minutely) activity duration segmentation. It also typically relies on a high-density deployment of a variety of sensors. Finer-grained (sub-second-level and event-based) ADL recognition, could provide more detailed ADL information, which is crucial for enabling the assessment of patients' activity patterns and potential changes in behavior. To achieve this fine-grained ADL monitoring, we present a system that combines two emerging non-intrusive sparse sensing mechanisms: 1) vibration sensors to capture the action-induced structural vibration and 2) electrical sensor to capture appliance usage. To evaluate our system, we conducted real-world experiments with multiple human subjects to demonstrate the complementary information from these two sensing modalities. Results show that our system achieved an average 90% accuracy in recognizing activities, which is up to 2.6X higher than baseline systems considering each state-of-the-art sensing modality separately.","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125472480","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: 31

SWaP 交换

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360846

G. Bejarano, Adita Kulkarni, Raushan Raushan, A. Seetharam, Arti Ramesh

{"title":"SWaP","authors":"G. Bejarano, Adita Kulkarni, Raushan Raushan, A. Seetharam, Arti Ramesh","doi":"10.1145/3360322.3360846","DOIUrl":"https://doi.org/10.1145/3360322.3360846","url":null,"abstract":"Accurately predicting water consumption in residential and commercial buildings is essential for identifying possible leaks, minimizing water wastage, and for paving the way for a sustainable future. In this paper, we present SWaP, a Smart Water Prediction system that predicts future hourly water consumption based on historical data. To perform this prediction task, in SWaP, we design discriminative probabilistic graphical and deep learning models, in particular, sparse Gaussian Conditional Random Fields (GCRFs) and Long Short Term Memory (LSTM) based deep Recurrent Neural Network (RNN) models, to successfully encode dependencies in the water consumption data. We evaluate our system on water consumption data collected from multiple buildings in a university campus and demonstrate that both the GCRF and LSTM based deep models are able to accurately predict future hourly water consumption in advance using just the last 24 hours of data at test time. SWaP achieves superior prediction performance for all buildings in comparison to the linear regression and ARIMA baselines in terms of Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE), with the GCRF and LSTM models providing 50% and 44% improvements on average, respectively. We also demonstrate that augmenting our models with temporal features such as time of the day and day of the week can improve the overall average prediction performance. Additionally, based on our evaluation, we observe that the GCRF model outperforms the LSTM based deep learning model, while simultaneously being faster to train and execute at test time. The computationally efficient and interpretable nature of GCRF models in SWaP make them an ideal choice for practical deployment.","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115391701","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: 4

Hot or Not: Leveraging Mobile Devices for Ubiquitous Temperature Sensing 热或不:利用移动设备无处不在的温度传感

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360856

Joseph Breda, Amee Trivedi, Chulabhaya Wijesundara, Phuthipong Bovornkeeratiroj, David E. Irwin, P. Shenoy, Jay Taneja

{"title":"Hot or Not: Leveraging Mobile Devices for Ubiquitous Temperature Sensing","authors":"Joseph Breda, Amee Trivedi, Chulabhaya Wijesundara, Phuthipong Bovornkeeratiroj, David E. Irwin, P. Shenoy, Jay Taneja","doi":"10.1145/3360322.3360856","DOIUrl":"https://doi.org/10.1145/3360322.3360856","url":null,"abstract":"This paper introduces a novel technique to measure indoor ambient air temperature using the battery temperature sensor found on typical smartphones. We develop physics-based models to predict ambient air temperature that consider the many warming and cooling scenarios faced by phones and account for the excess heat generated by smartphone components such as the CPU, screen, network, and charging hardware. To accommodate never-before-seen devices, we also develop a domain adaptation technique that leverages previously derived models, substantially reducing the overhead of learning accurate models for a new phone. We evaluate our models for a range of devices, operating scenarios, ambient temperatures, and phone cases, with mean errors generally less than 1.5% of ambient temperature. We also present a case study to demonstrate the utility of our approach for spatial and temporal monitoring of ambient temperature variations in an office building; while indoor conditions vary by as much as 13°F, mean error in measurement by our models is 1.4%.","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125486734","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: 12

Coordinated Scheduling of Residential Appliances and Heterogeneous Energy Sources in a Smart Microgrid 智能微电网中家用电器与异构能源的协调调度

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3361001

P. Saha, Nilotpal Chakraborty, Arijit Mondal, S. Mondal

引用次数: 0

A Missing Link between Urban Mobility and Wellbeing 城市交通与福祉之间缺失的一环

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360873

Neda Mohammadi, J. Taylor

引用次数: 0

Abstracting Interactions with IoT Devices Towards a Semantic Vision of Smart Spaces 抽象与物联网设备的交互，以实现智能空间的语义视觉

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360859

Roberto Yus, Georgios Bouloukakis, S. Mehrotra, N. Venkatasubramanian

{"title":"Abstracting Interactions with IoT Devices Towards a Semantic Vision of Smart Spaces","authors":"Roberto Yus, Georgios Bouloukakis, S. Mehrotra, N. Venkatasubramanian","doi":"10.1145/3360322.3360859","DOIUrl":"https://doi.org/10.1145/3360322.3360859","url":null,"abstract":"This paper describes a middleware framework for IoT smart spaces, SemIoTic, that provides application developers and end-users with the semantic domain-relevant view of the smart space, hiding the complexity of having to deal with/understand lower-level information generated by sensors and actuators. SemIoTic uses a meta-model, based on the popular SOSA/SSN ontology with some extensions, to represent relationships between the low-level IoT devices' world (i.e., devices, observations) and semantic concepts (i.e., users and spaces and their observable attributes). It supports a language using which users can express their action requirements (i.e., requests for sensor data, commands for actuators, and privacy preferences) in terms of user-friendly high-level concepts. We present an ontology-based algorithmic approach to translate user-defined actions into sensor/actuators commands. Finally, our end-to-end approach includes a cross-layer solution to provide interoperability with diverse IoT devices and their data exchange protocols.","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133514504","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

Who can Access What, and When?: Understanding Minimal Access Requirements of Building Applications 谁可以访问什么，何时访问?:了解建筑应用程序的最小访问要求

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360868

Jason Koh, Dezhi Hong, Shreyas Nagare, Sudershan Boovaraghavan, Yuvraj Agarwal, Rajesh K. Gupta

{"title":"Who can Access What, and When?: Understanding Minimal Access Requirements of Building Applications","authors":"Jason Koh, Dezhi Hong, Shreyas Nagare, Sudershan Boovaraghavan, Yuvraj Agarwal, Rajesh K. Gupta","doi":"10.1145/3360322.3360868","DOIUrl":"https://doi.org/10.1145/3360322.3360868","url":null,"abstract":"Smart building applications (apps) are faced with the real challenge of unfettered access to mission-critical building resources that makes buildings vulnerable to attacks and occupants to privacy invasions. Existing methods that group users for access control are too coarse-grained to avoid granting over-privileges to apps. Furthermore, they lack means to model, express, and use access patterns that can be critical in securing automated building operations. In this paper, We identify Who, What, and When as the key information dimensions for building apps access control after thoroughly reviewing 125 smart building app publications in two major venues. Our analysis reveals that dynamic access control requires unique access patterns of individual apps, as well as the building and user context. We also observe that existing Building Operating Systems and IoT platforms fall short of sufficiently representing all the necessary patterns, and further discuss future directions for the design of access control systems needed to support building apps.","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116140048","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

Urban Transportation System Resilience and Diversity Coupling using Large-scale Taxicab GPS Data 基于大尺度出租车GPS数据的城市交通系统弹性与多样性耦合

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360864

Farnaz Khaghani, Armin Rahimi-Golkhandan, F. Jazizadeh, M. Garvin

{"title":"Urban Transportation System Resilience and Diversity Coupling using Large-scale Taxicab GPS Data","authors":"Farnaz Khaghani, Armin Rahimi-Golkhandan, F. Jazizadeh, M. Garvin","doi":"10.1145/3360322.3360864","DOIUrl":"https://doi.org/10.1145/3360322.3360864","url":null,"abstract":"In this study, moving towards enabling the development of a platform for dynamic performance assessment of roadway networks, we have proposed to leverage coarse GPS data from probe vehicles such as taxis to quantify the resilience of road network using a multi-dimensional approach. The method is applied to a dataset of taxi trips in the Washington metropolitan area to analyze the roadways resilience to recurrent traffic jams during rush hours. Further, the influence of the diversity of transportation system, that quantifies the availability and distribution of transportation modes in an urban community, on the resilience of roadways to congestions is explored. The results indicate that the resilience of trips in all zones is highly correlated with the transportation diversity of those zones. Specifically, the pick-up and drop-off hubs of taxi trips in the District of Columbia are mainly located in areas with low transportation diversity that highlights the impact of transportation diversity on addressing mobility demand. The proposed approach could potentially be used as a benchmark for transportation planning and optimization as well as traffic monitoring and alleviation to allocate resources and adjust the schedule of transit modes in real-time.","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125906306","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: 7