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

Autonomous Inventory Monitoring through Multi-Modal Sensing (AIM3S) for Cashier-Less Stores 基于多模态传感(AIM3S)的无收银员商店自主库存监控

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3361018

C. Dominguez, Joao Falcao, Shijia Pan, H. Noh, Pei Zhang

引用次数: 11

Tracking the Evolution of Public Transport Demand using Spatial-Social-Temporal Contexts 基于时空背景的公共交通需求演变跟踪研究

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360870

R. Cardell-Oliver, Prathyusha Sangam

引用次数: 0

AIM3S

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360834

Carlos Ruiz, João Falcão, Shijia Pan, H. Noh, Pei Zhang

{"title":"AIM3S","authors":"Carlos Ruiz, João Falcão, Shijia Pan, H. Noh, Pei Zhang","doi":"10.1145/3360322.3360834","DOIUrl":"https://doi.org/10.1145/3360322.3360834","url":null,"abstract":"A common pain point for physical retail stores is live inventory monitoring, i.e. knowing how many items of each product are left on the shelves. About 4% of sales are lost due to an average 5-10% out-of-shelf stockout rate, while additional supplies existed in the warehouse. Traditional techniques rely on manual inspection, per-item tagging using RFIDs, or human-in-the-loop systems such as Amazon Go. These approaches, while effective, either have poor accuracy, long delays between results or are cost prohibitive. In this paper, we present AIM3S (Autonomous Inventory Monitoring through Multi-Modal Sensing) for cashier-less stores. To the best of our knowledge, this is the first fully autonomous system that fuses multiple sensing modalities. Utilizing weight difference on a shelf, visual item recognition in customers' hands and prior knowledge of item layout AIM3S monitors products picked up or returned without human-in-the-loop. We present results from a real-world setup with 85 items (33 unique products) replicating the layout of a local 7-Eleven store. Our results show that the fused approach provides up to 93.2% item identification accuracy, better than reported self-checkout stations (86%).","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"3 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":"121314306","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

Indoor Path Planning and Decentralized Access Control in Commercial Buildings 商业建筑室内路径规划与分散访问控制

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3361013

Leepakshi Bindra, Kalvin Eng, Yancheng Ou, Omid Ardakanian, Eleni Stroulia

引用次数: 1

Semantic search in household energy consumption segmentation through descriptive characterization 基于描述性特征的家庭能耗分割中的语义搜索

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360865

M. Afzalan, F. Jazizadeh

{"title":"Semantic search in household energy consumption segmentation through descriptive characterization","authors":"M. Afzalan, F. Jazizadeh","doi":"10.1145/3360322.3360865","DOIUrl":"https://doi.org/10.1145/3360322.3360865","url":null,"abstract":"With the widespread adoption of smart metering infrastructures, household energy consumption segmentation is receiving increasing attention. The objective is to transform the large volume of household daily load shapes into representative patterns through clustering methods, with the aim of program targeting and customer engagement. In the literature, there exists a high variation in the number of clusters that different studies have adopted. In order to address the challenge in the trade-off between cluster accuracy and ease of interpretation, in this paper, we introduce a data-driven characterization scheme for resultant clustered load shapes, with the aim of facilitating information retrieval of load shapes with specific semantic attributes. The characterization scheme extracts descriptive features from load shapes to explain their temporal pattern. Using segmentation results on a sample data set from Pecan Street Dataport, we show the feasibility of obtaining the semantic representation of load shapes and performing query analysis by accounting for their similarities. Furthermore, as an application case study, we demonstrated the identification/retrieval of suitable households with specific load types for the adoption of PV-battery system, with average self-sufficiency of 80%.","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":"122007467","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

Data-Driven Energy and Population Estimation for Real-Time City-Wide Energy Footprinting 实时城市能源足迹数据驱动的能源和人口估算

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360847

Peter Wei, Xiaofan Jiang

引用次数: 5

Learning from Correlated Events for Equipment Relation Inference in Buildings 基于相关事件的建筑物设备关系推断学习

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360852

Dezhi Hong, Renqin Cai, Hongning Wang, K. Whitehouse

{"title":"Learning from Correlated Events for Equipment Relation Inference in Buildings","authors":"Dezhi Hong, Renqin Cai, Hongning Wang, K. Whitehouse","doi":"10.1145/3360322.3360852","DOIUrl":"https://doi.org/10.1145/3360322.3360852","url":null,"abstract":"Modern buildings produce thousands of data streams, and the ability to automatically infer the physical context of such data is the key to enabling building analytics at scale. As acquiring this contextual information is currently a time-consuming and error-prone manual process, in this study we make the first attempt at automatically inferring one important contextual aspect of the equipment in buildings --- how each equipment is functionally connected with another. The main insight behind our solution is that functionally connected equipment is exposed to the same events in the physical world, creating correlated changes in the time series data of both equipment. Because events are of indeterminate length in time series, however, identifying them requires solving a non-polynomial combinatorial data segmentation problem. We present a solution that first extracts latent events from the sensory time series data, and then sifts out coincident events with a customized correlation procedure to identify the relationship between equipment. We evaluated our approach on data collected from over 1,000 pieces of equipment from 5 commercial buildings of various sizes located in different geographical regions in the US. Results show that this approach achieves 94.38% accuracy in relation inference, compared to 85.49% by the best baseline.","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"18 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":"123090329","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

Measuring Routine Variability of Daily Activities with Image Complexity Metrics 用图像复杂度度量测量日常活动的常规可变性

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3361009

Bogyeong Lee, C. Ahn, P. Mohan, Theodora Chaspari, Hyunsoo Lee

{"title":"Measuring Routine Variability of Daily Activities with Image Complexity Metrics","authors":"Bogyeong Lee, C. Ahn, P. Mohan, Theodora Chaspari, Hyunsoo Lee","doi":"10.1145/3360322.3361009","DOIUrl":"https://doi.org/10.1145/3360322.3361009","url":null,"abstract":"Since the abrupt change of daily routines can be an early symptom of cognitive impairment, it is important to measure and track the variability of daily routines of the elderly living alone in terms of their healthcare. This study is motivated by the idea that the degree of image complexity manifested in a person's day-to-day schedule chart is related to the degree of routine variability of his/her daily activities. To test this idea, synthetic data on daily activity logs containing varying degrees of routine variability was created, and a schedule bar chart image was generated based on the synthetic data. Then this study examines whether and to what extent the routine variability inherent in the dataset can be measured by existing image complexity metrics, which have been used to a pattern tendency of an image. The results indicate that the outcomes from three metrics, including Shannon Entropy, GLCM-Entropy, and GLCM-Energy, are well-associated with the degree of routine variability manifested in different aspects of daily activity schedules (i.e., start-time, duration, non-routine-contributing activities, and sequence of routine-contributing activities).","PeriodicalId":128826,"journal":{"name":"Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"78 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":"121162997","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

The Standby Energy in Smart Homes: Problems, Progress, & Potential 智能家居中的待机能源:问题、进展和潜力

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360993

Wenpeng Wang, Zackary Hicks, Bradford Campbell

引用次数: 0

Good to see you again: Capture and recapture method on mobile devices to estimate occupancy profiles 很高兴再次见到你:移动设备上的捕获和重新捕获方法，以估计占用情况

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation Pub Date : 2019-11-13 DOI: 10.1145/3360322.3360869

J. Park, E. Mbata, Z. Nagy

引用次数: 7