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2019 IEEE International Conference on Smart Computing (SMARTCOMP)最新文献

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Redefining Node Centrality for Task Allocation in Mobile CrowdSensing Platforms 移动众感平台任务分配中节点中心性的重新定义
2019 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2019-06-01 DOI: 10.1109/SMARTCOMP.2019.00069
Christine Bassem
{"title":"Redefining Node Centrality for Task Allocation in Mobile CrowdSensing Platforms","authors":"Christine Bassem","doi":"10.1109/SMARTCOMP.2019.00069","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00069","url":null,"abstract":"With the recent developments in Mobile CrowdSensing, an interesting model of temporal graphs has emerged, in which node weights evolve over time, according to the availability of spatio-temporal tasks on the mobility field. The analysis and understanding of these types of graphs, namely Weight Evolving Temporal (WET) graphs, is critical for optimizing task allocation in such crowdsensing platforms. In this paper, we formally define WET graphs and their corresponding routing problem, in which the objective of the routing is to maximize the reward collected from vertices visited amid the graph traversal. By modeling a WET graph as a time-ordered graph, we define efficient and optimal routing algorithms, and theoretically analyze them. Moreover, we present a novel node centrality measure, namely Coverage Centrality, that captures the popularity of various nodes of the WET graph, and which we incorporate in an online crowdsensing task allocation mechanism to increase task coverage. Finally, we evaluate the efficacy of this novel centrality measure on different types of graphs, when compared to other centrality measures, and evaluate its effect on task coverage in online mobile crowdsensing platforms.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129721047","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
SMARTCOMP 2019 Program Committee SMARTCOMP 2019项目委员会
2019 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2019-06-01 DOI: 10.1109/smartcomp.2019.00007
{"title":"SMARTCOMP 2019 Program Committee","authors":"","doi":"10.1109/smartcomp.2019.00007","DOIUrl":"https://doi.org/10.1109/smartcomp.2019.00007","url":null,"abstract":"","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129479311","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
Online Energy Management in Commercial Buildings using Deep Reinforcement Learning 基于深度强化学习的商业建筑在线能源管理
2019 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2019-06-01 DOI: 10.1109/SMARTCOMP.2019.00060
Avisek Naug, Ibrahim Ahmed, G. Biswas
{"title":"Online Energy Management in Commercial Buildings using Deep Reinforcement Learning","authors":"Avisek Naug, Ibrahim Ahmed, G. Biswas","doi":"10.1109/SMARTCOMP.2019.00060","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00060","url":null,"abstract":"This paper proposes an efficient online approach for reducing energy consumption in large buildings by combining data driven models with deep reinforcement learning techniques. We use data driven methods for modeling the heating and cooling energy consumption in the building. These models are integrated into a single \"OpenAI Gym\" class in Python to create the environment for studying building energy consumption as a function of control actions, such as setting the discharge temperature set points at different locations in the building. We discuss a policy gradient based actor-critic reinforcement learning approach (Q Actor-Critic) that learns the optimal policy by interacting with the above environment. The optimal policy acts as a controller for adjusting the discharge temperature set point of the dehumidified air in real time so that the total energy consumption can be reduced but the building conditions (temperature and humidity) remain comfortable. Preliminary results show that the method %is fast enough for online application and achieves an energy savings of 2 to 5%.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116002025","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
Detecting Common Insulation Problems in Built Environments using Thermal Images 利用热图像检测建筑环境中常见的绝缘问题
2019 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2019-06-01 DOI: 10.1109/SMARTCOMP.2019.00087
Naima Khan, Nilavra Pathak, Nirmalya Roy
{"title":"Detecting Common Insulation Problems in Built Environments using Thermal Images","authors":"Naima Khan, Nilavra Pathak, Nirmalya Roy","doi":"10.1109/SMARTCOMP.2019.00087","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00087","url":null,"abstract":"Proper thermal insulation yields optimum energy expenses in buildings by maintaining necessary heat gain or loss through the built envelope. However, improper thermal insulation causes significant energy wastage along with infusing various damages on indoor and outdoor walls of the buildings, for example, damp areas, black stains, cracks, paint bubbles etc. Therefore, it is important to inspect the temperature variations in different areas of the built environments in regular basis. We propose a method for identifying temperature variance in building thermal images based on Symbolic Aggregated Approximation (SAX). Our process helps detect the temperature variation over different image segments and infers the fault prone segments of leakages. We have collected about 50 thermal images associated with different types of wall specific insulation problems in indoor built environment and were able to identify the affected area with approximately 75% accuracy using our proposed method based on temperature variation detection approach.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"3 1-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129094936","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
On Data Summarization for Machine Learning in Multi-organization Federations 多组织联盟中机器学习的数据汇总研究
2019 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2019-06-01 DOI: 10.1109/SMARTCOMP.2019.00030
Bongjun Ko, Shiqiang Wang, T. He, D. Conway-Jones
{"title":"On Data Summarization for Machine Learning in Multi-organization Federations","authors":"Bongjun Ko, Shiqiang Wang, T. He, D. Conway-Jones","doi":"10.1109/SMARTCOMP.2019.00030","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00030","url":null,"abstract":"Machine learning is a promising technology for many modern applications. To train an effective machine learning model, a large amount of data is required. However, data may be created in different organizations and sharing data across organizational boundaries is difficult due to privacy concerns and communication bandwidth limitations. Data summarization is a technique for reducing the amount of data that needs to be shared, while preserving characteristics in the data that are useful for training machine learning models. In this paper, we present an overview of data summarization techniques, which can be useful for machine learning across organizational boundaries. We also discuss some possible applications related to these data summarization techniques and challenges for future research.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131389643","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: 5
Neural Networks at the Edge 边缘神经网络
2019 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2019-06-01 DOI: 10.1109/SMARTCOMP.2019.00027
Deboleena Roy, G. Srinivasan, P. Panda, Richard J. Tomsett, N. Desai, R. Ganti, K. Roy
{"title":"Neural Networks at the Edge","authors":"Deboleena Roy, G. Srinivasan, P. Panda, Richard J. Tomsett, N. Desai, R. Ganti, K. Roy","doi":"10.1109/SMARTCOMP.2019.00027","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00027","url":null,"abstract":"As neural networks gain importance with several successful applications of them, this paper raises the question of how they can be applied in the context of coalition operations. A key challenge in military coalition operations is that of energy and severe bandwidth constraints. We address this challenge by exploring the use of Deep Neural Networks (DNNs) and splitting them across multiple edge nodes. Further, we explore the idea of using spiking neural networks that can lower the energy consumption significantly. Preliminary results show that both these approaches can have significant impact on coalition operations.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128126470","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
DAIS 2019 Committees
2019 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2019-06-01 DOI: 10.1109/smartcomp.2019.00012
{"title":"DAIS 2019 Committees","authors":"","doi":"10.1109/smartcomp.2019.00012","DOIUrl":"https://doi.org/10.1109/smartcomp.2019.00012","url":null,"abstract":"","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128484806","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
Comparison of NoSQL Datastores for Large Scale Data Stream Log Analytics 面向大规模数据流日志分析的NoSQL数据存储比较
2019 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2019-06-01 DOI: 10.1109/SMARTCOMP.2019.00093
Khalid Mahmood, Kjell Orsborn, T. Risch
{"title":"Comparison of NoSQL Datastores for Large Scale Data Stream Log Analytics","authors":"Khalid Mahmood, Kjell Orsborn, T. Risch","doi":"10.1109/SMARTCOMP.2019.00093","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00093","url":null,"abstract":"With the advent of cyber-physical systems, industrial internet of things (IIoT) and industrial analytics numerous application scenarios have emerged where business and mission-critical decisions depend upon large scale analysis of data in form of sensor streams. However, large volumes of sensor stream data generated at high frequency pose substantial challenges for existing scalable data analysis techniques requiring the use of high-performance distributed datastores. This work covers in-depth performance comparison of three principal categories of distributed state-of the-art NoSQL datastores by evaluating their applicability and efficiency for large-scale analysis of sensor logs from real-world hydraulic power systems. One central datastore is selected from each of the three principal categories of NoSQL datastores: MongoDB from the document store, Cassandra from the column store and Redis from the distributed main memory key-value store to be included in the performance evaluation. Understanding the differences and behavior of this type of systems are crucial for optimizing application performance. Key insights from this work can serve as a basis for an improved understanding of the applicability of NoSQL datastores in systems for large scale data stream analysis. This will be important for supporting data analytics in IIoT applications as found in monitoring and control of Power plants, Smart Cities, Transportation systems, Environmental and Health monitoring, etc.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134085831","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
A Smartwatch-Based Service Towards Home Exercise Therapy for Patients with Peripheral Arterial Disease 基于智能手表的外周动脉疾病患者家庭运动治疗服务
2019 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2019-06-01 DOI: 10.1109/SMARTCOMP.2019.00047
Nicholas Constant, Travis Frink, M. Delmonico, P. Burbank, R. Patterson, J. Simons, K. Mankodiya
{"title":"A Smartwatch-Based Service Towards Home Exercise Therapy for Patients with Peripheral Arterial Disease","authors":"Nicholas Constant, Travis Frink, M. Delmonico, P. Burbank, R. Patterson, J. Simons, K. Mankodiya","doi":"10.1109/SMARTCOMP.2019.00047","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00047","url":null,"abstract":"Utilizing a consumer-grade smartwatch in conjunction with a prescribed exercise therapy plan can help to reduce the patient-level entry barriers into programs designed for patients with peripheral arterial disease, which affects millions of people worldwide. Currently, the alternative to this physical therapy plan is surgical therapy which costs between $3 and $5 billion annually. This paper presents the development and testing of WalkCoach app, a smart service system integrating a consumer-grade smartwatch (Polar M600) in the monitoring of supervised walking exercises. By monitoring a participant's baseline activity and improvements with time, it will be possible to provide personalized exercise prescriptions that can be easily modified or personalized to adjust and optimize for improved walking ability as the therapy progresses. This paper demonstrates the accuracy of the smartwatch-based WalkCoach app in a pilot cohort study of 10 healthy older adults (>65 yrs) who were recruited to perform a 400m overground walking task. Results are promising and show that the consumer-grade smartwatch accurately measures steps (step count = 637) compared to a video/manual step count (650 steps; Pearson's r = 0.96, P <0.001). In the future, WalkCoach will be improved to produce granular analytics on a patient's compliance and performance to the supervised walking exercises.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127756169","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
Decentralized Multi-authority Anonymous Authentication for Global Identities with Non-interactive Proofs 基于非交互证明的全局身份去中心化多权威匿名认证
2019 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2019-06-01 DOI: 10.1109/SMARTCOMP.2019.00024
Hiroaki Anada
{"title":"Decentralized Multi-authority Anonymous Authentication for Global Identities with Non-interactive Proofs","authors":"Hiroaki Anada","doi":"10.1109/SMARTCOMP.2019.00024","DOIUrl":"https://doi.org/10.1109/SMARTCOMP.2019.00024","url":null,"abstract":"We propose a decentralized multi-authority anonymous authentication scheme in which a prover and a verifier are non-interactive. When a prover wants authorities to issue private attribute certificates, the authorities simply generate digital signatures on her global identity string. We give two security definitions; resistance against collusion attacks that cause misauthentication, and anonymity for privacy protection. Then we give a concrete construction by employing the structure-preserving signature scheme and the Groth-Sahai non-interactive proof system, the both of which are based on bilinear groups. We give security proofs in the standard model, which reduce to the security of the building blocks.","PeriodicalId":253364,"journal":{"name":"2019 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115900315","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
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