2021 IEEE International Conference on Smart Computing (SMARTCOMP)最新文献_第3页

Tutorial #1: Multi Agent Systems for Emergency Response 教程#1:应急响应的多代理系统

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00011

{"title":"Tutorial #1: Multi Agent Systems for Emergency Response","authors":"","doi":"10.1109/SMARTCOMP52413.2021.00011","DOIUrl":"https://doi.org/10.1109/SMARTCOMP52413.2021.00011","url":null,"abstract":"Summary form only given. The complete presentation was not made available for publication as part of the conference proceedings. Emergency response to incidents such as accidents, crimes, and wildfires is a major problem faced by communities. Emergency response management (ERM) comprises several stages and sub-problems like forecasting, detection, allocation, and dispatch. The design of principled approaches to tackle each problem is necessary to create efficient ERM pipelines. This talk will go through the design of principled decision-theoretic and data-driven approaches to tackle emergency incidents. It will discuss the data collection, cleansing, and aggregation as well as some models and methods we used to solve an imbalanced classification problem. Further, we will explain how large multi-agent systems can be used to tackle emergency scenarios under dynamic environments and communication and state uncertainty. We will go through fundamental modeling paradigms like Markov decision processes, semi-Markov decision processes, and partially-observable Markov decision processes and how promising actions can be found for stochastic control problems. As case studies, we will specifically look at emergency incidents like wildfires and road accidents. We will also go through two open-source datasets that we have created for the research community to use regarding traffic accidents and wildfires.","PeriodicalId":330785,"journal":{"name":"2021 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129214731","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

SmartSys 2021 Organizing Committees SmartSys 2021组委会

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/smartcomp52413.2021.00014

引用次数: 0

Integrity Verification for Streaming IoT Applications with a Minimalist Logging Scheme 具有极简日志方案的流物联网应用程序的完整性验证

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00047

Shuangsheng Lou, Nisha Panwar, G. Agrawal

引用次数: 0

A Cloud Platform for Collecting and Processing Road Pavement Multi Sensor Data 路面多传感器数据采集与处理的云平台

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00072

Fabrizio De Vita, G. Sollazzo, Dario Bruneo, O. Pellegrino, G. Bosurgi

{"title":"A Cloud Platform for Collecting and Processing Road Pavement Multi Sensor Data","authors":"Fabrizio De Vita, G. Sollazzo, Dario Bruneo, O. Pellegrino, G. Bosurgi","doi":"10.1109/SMARTCOMP52413.2021.00072","DOIUrl":"https://doi.org/10.1109/SMARTCOMP52413.2021.00072","url":null,"abstract":"With the advent of smart environments the requirements for diagnostics and prognostics techniques gained a lot of interest. Lately, the Industry 4.0 paradigm is starting to expand also in the smart road, referred to in this context as \"maintenance 4.0\". In such a context, the possibility to predict the conditions of a road network allows to deliver a preventive maintenance that can strongly reduce the costs and avoid severe consequences. However, considering the actual pavement management state of the art, it is evident the huge amount of heterogeneous data necessary to perform this challenging tasks. Leveraging the Cloud and Edge technologies, this paper proposes a web Geographical Information System (GIS) platform capable to dynamically collect and analyze several type of sensor data for the management of road pavements. On top of that, the platform is able to compute advanced indexes and metrics that are used to produce a maintenance proposal scheme. Experimental results present a preliminary case study on a real motorway and demonstrate the effectiveness of the proposed platform as a support tool during the maintenance process.","PeriodicalId":330785,"journal":{"name":"2021 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131246966","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

Hypersphere for Branching Node for the Family of Isolation Forest Algorithms 隔离森林算法族分支节点的超球

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00090

Jayanta Choudhury, Piseth Ky, Yi-Ming Ren, Chenhua Shi

{"title":"Hypersphere for Branching Node for the Family of Isolation Forest Algorithms","authors":"Jayanta Choudhury, Piseth Ky, Yi-Ming Ren, Chenhua Shi","doi":"10.1109/SMARTCOMP52413.2021.00090","DOIUrl":"https://doi.org/10.1109/SMARTCOMP52413.2021.00090","url":null,"abstract":"We propose Finite Boundary (FB) version of Isolation Forest (IF), Split Selection Criterion iForest (SciForest) and Extended Isolation Forest (EIF) algorithms using hypersphere as branching boundary for enhanced consistency in anomaly score. EIF substitutes axis parallel hyperplanes with slanted hyperplanes as in SciForest for a remedy of the problem of inconsistent anomaly score. EIF offers an improvement of computation speed over SciForest algorithm by removing the search for the optimum hyperplane for branching. We identify inconsistency in anomaly score by EIF for a synthetic 2-D spiral dataset and inconsistency in anomaly score for single blob of 2-D synthetic gaussian dataset by SciForest to empirically show that the slanted hyperplanes alone is insufficient. First, we explain the abnormal decrease of anomaly score for anomalous data points due to the unexpected increase in the number of branching for anomalous data points by the infinite extensions of hyperplanes. Second, we propose to use hyper-sphere as a suitable option for generalized branching decision boundary. Next, we empirically show that the anomaly scores suffer not from the artifacts of axis parallelism of the hyper-planes of IF, by comparing anomaly scores with finite boundary hyper-sphere as branching decision boundary against the slanted hyperplanes and highlight the redundant extension of the infinite hyperplanes as the dominant cause of the inconsistency in anomaly score. Third, we apply FB version of IF (FBIF), EIF (FBEIF) and SciForest (FBSciForest) to several standard 2-D synthetic datasets to assess robustness and computation speed in comparison to EIF, SciForest and IF.","PeriodicalId":330785,"journal":{"name":"2021 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131424215","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

Message from the TPC Co-Chairs 贸易政策委员会联合主席的致辞

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/smartcomp52413.2021.00006

Binbin Chen, Ziling Zhou, Yuda Zhao

引用次数: 0

Recommender Systems And Digital Storytelling To Enhance Tourism Experience In Cultural Heritage Sites 推荐系统和数字化叙事提升文化遗产地旅游体验

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00067

M. Casillo, M. D. Santo, Marco Lombardi, Rosalba Mosca, D. Santaniello, Carmine Valentino

引用次数: 4

Predicting Parking Occupancy by FPGA-Accelerated DNN Models at Fog Layer 基于fpga加速DNN模型的雾层停车占用率预测

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00032

Sang Nguyen, Z. Salcic, Utsav Trivedi, Xuyun Zhang

{"title":"Predicting Parking Occupancy by FPGA-Accelerated DNN Models at Fog Layer","authors":"Sang Nguyen, Z. Salcic, Utsav Trivedi, Xuyun Zhang","doi":"10.1109/SMARTCOMP52413.2021.00032","DOIUrl":"https://doi.org/10.1109/SMARTCOMP52413.2021.00032","url":null,"abstract":"Model inference is the final stage in machine/deep learning application deployments in practical applications. Hardware-implemented or accelerated model inferences find significant attractions as they offer faster inference than those implemented as programs. This is especially attractive for real-time applications. In this paper, we address models that serve for parking occupancy prediction based on historical time-series parking records. We use the Keras library to build and train software DNN and LSTM models, then compare their prediction performances in terms of accuracy. While the software-implemented inference models indicate advantages of LSTM, we still opted to select only DNN-based models for additional hardware acceleration as the current advanced tool-chains leveraged for automatic software-to-hardware model converting do not allow the creation of LSTM hardware- implemented models. We create, explore and compare the inference performances of hardware (FPGA)-implemented models on relatively low-cost FPGAs. For this, we create an FPGA-accelerated Fog-layer cluster by adding two additional Xilinx FPGA boards of different performances into our existing cluster of four Raspberry Pi (RPi) computers.","PeriodicalId":330785,"journal":{"name":"2021 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"260 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115277948","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

An IoT-based Framework to Protect Cultural Heritage Buildings 基于物联网的文化遗产建筑保护框架

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00076

F. Colace, C. Elia, Caterina Gabriella Guida, Angelo Lorusso, Francesco Marongiu, D. Santaniello

{"title":"An IoT-based Framework to Protect Cultural Heritage Buildings","authors":"F. Colace, C. Elia, Caterina Gabriella Guida, Angelo Lorusso, Francesco Marongiu, D. Santaniello","doi":"10.1109/SMARTCOMP52413.2021.00076","DOIUrl":"https://doi.org/10.1109/SMARTCOMP52413.2021.00076","url":null,"abstract":"Italy offers a Cultural Heritage of considerable value to be protected. In fact, the artifacts and ancient buildings are affected by a natural deterioration linked to the flow of time. Sometimes the deterioration compromises the functionality of Cultural Heritage, driving them toward degradation. In this scenario, given the different critical points, the wide variability of the factors involved, and the wide range of possible treatments, intervene efficiently seems impossible. However, the spread of low-cost technology has led to the possibility of having various devices and sensors able to communicate and interact with each other and with humans: the Internet of Things (IoT). In this scenario, the IoT paradigm allows mapping the reality by defining a coherent virtual environment, which could help preserve Cultural Heritage. This paper aims to introduce an IoT-based system that combines three aspects: monitoring, predictive maintenance, and decision-making related to interventions to be implemented to preserve buildings belonging to Cultural Heritage. In order to test the proposed architecture, a prototype capable of interacting with expert users has been implemented and tested. The results of the experimental campaign are promising.","PeriodicalId":330785,"journal":{"name":"2021 IEEE International Conference on Smart Computing (SMARTCOMP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115439718","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: 9

Machine Learning Equity and Accuracy in an Applied Justice Setting 应用司法环境下的机器学习公平性和准确性

2021 IEEE International Conference on Smart Computing (SMARTCOMP) Pub Date : 2021-08-01 DOI: 10.1109/SMARTCOMP52413.2021.00050

J. Russell

引用次数: 1