2018 23rd Conference of Open Innovations Association (FRUCT)最新文献

Temporal Extension of the Select Statement – New Clauses 选择语句的时间扩展-新子句

2018 23rd Conference of Open Innovations Association (FRUCT) Pub Date : 2018-11-01 DOI: 10.23919/FRUCT.2018.8587916

Michal Kvet, K. Matiaško

引用次数: 0

Forecasting of the Urban Area State Using Convolutional Neural Networks 基于卷积神经网络的城市区域状态预测

2018 23rd Conference of Open Innovations Association (FRUCT) Pub Date : 2018-11-01 DOI: 10.23919/FRUCT.2018.8588075

Ksenia D. Mukhina, Alexander A. Visheratin, G. Mbogo, D. Nasonov

引用次数: 3

Performance Enhancement Of Optimized Link State Routing Protocol For Health Care Applications In Wireless Body Area Networks 无线体域网络中医疗保健应用优化链路状态路由协议的性能增强

2018 23rd Conference of Open Innovations Association (FRUCT) Pub Date : 2018-11-01 DOI: 10.23919/FRUCT.2018.8588070

V. Kumar, S. Prakash, S. Balandin

引用次数: 0

Incremental Community Detection in Social Networks Using Label Propagation Method 基于标签传播方法的社交网络增量社区检测

2018 23rd Conference of Open Innovations Association (FRUCT) Pub Date : 2018-11-01 DOI: 10.23919/FRUCT.2018.8588023

Mohammad Asadi, F. Ghaderi

{"title":"Incremental Community Detection in Social Networks Using Label Propagation Method","authors":"Mohammad Asadi, F. Ghaderi","doi":"10.23919/FRUCT.2018.8588023","DOIUrl":"https://doi.org/10.23919/FRUCT.2018.8588023","url":null,"abstract":"The structure of online social networks such as Facebook is continuously changing. Phenomena such as birth, growth, contraction, split, dissolution, and merging with other communities are issues that occur in the communities of online social networks over time. However, characteristics of the consecutive time slots of these networks depend on each other, and independent investigation of each time slot is not efficient for detecting communities in terms of execution time due to the big size of data in each time slot. In order to detect the changes in communities over time, there is a need for algorithms that can detect communities incrementally with proper precision. In this paper, we propose an unsupervised machine learning algorithm for incremental detection of communities using the label propagation method, called Incremental Speaker-Listener Propagation Algorithm (ISLPA). ISLPA can detect both overlapping and non-overlapping communities incrementally after removing or adding a batch of nodes and edges over time. Execution time and modularity comparison on a subset of Facebook dataset confirm that despite the reduced computational costs, the proposed algorithm has promising performance.","PeriodicalId":183812,"journal":{"name":"2018 23rd Conference of Open Innovations Association (FRUCT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121649153","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

Positive Computing as Paradigm to Overcome Barriers to Global Co-authoring of Open Educational Resources 积极计算:克服开放教育资源全球合作障碍的范例

2018 23rd Conference of Open Innovations Association (FRUCT) Pub Date : 2018-11-01 DOI: 10.23919/FRUCT.2018.8588100

Irawan Nurhas, Thomas de Fries, Stefan Geisler, J. Pawlowski

引用次数: 7

Comparing the Finite -Difference Schemes in the Simulation of Shunted Josephson Junctions 分流约瑟夫逊结模拟中有限差分格式的比较

2018 23rd Conference of Open Innovations Association (FRUCT) Pub Date : 2018-11-01 DOI: 10.23919/FRUCT.2018.8588028

V. Ostrovskii, A. Karimov, V. Rybin, E. Kopets, D. Butusov

引用次数: 6

Formalization and Automated Detection of Tourist City Center Location 旅游城市中心位置的形式化与自动化检测

2018 23rd Conference of Open Innovations Association (FRUCT) Pub Date : 2018-11-01 DOI: 10.23919/FRUCT.2018.8588109

R. Akhundov, A. Filchenkov, V. Gorovoy

引用次数: 0

From Heterogeneous Sensor Networks to Integrated Software Services: Design and Implementation of a Semantic Architecture for the Internet of Things at ARCES@UNIBO 从异构传感器网络到集成软件服务:物联网语义架构的设计与实现，网址:ARCES@UNIBO

2018 23rd Conference of Open Innovations Association (FRUCT) Pub Date : 2018-11-01 DOI: 10.23919/FRUCT.2018.8588024

Cristiano Aguzzi, Francesco Antoniazzi, Paolo Azzoni, L. Bononi, F. Brasini, R. Canegallo, A. D'Elia, Angelo De Lisa, M. D. Felice, E. Franchi, Luca Perilli, L. Roffia, L. Sciullo, R. Siagri, M. Verardi, T. S. Cinotti

{"title":"From Heterogeneous Sensor Networks to Integrated Software Services: Design and Implementation of a Semantic Architecture for the Internet of Things at ARCES@UNIBO","authors":"Cristiano Aguzzi, Francesco Antoniazzi, Paolo Azzoni, L. Bononi, F. Brasini, R. Canegallo, A. D'Elia, Angelo De Lisa, M. D. Felice, E. Franchi, Luca Perilli, L. Roffia, L. Sciullo, R. Siagri, M. Verardi, T. S. Cinotti","doi":"10.23919/FRUCT.2018.8588024","DOIUrl":"https://doi.org/10.23919/FRUCT.2018.8588024","url":null,"abstract":"The Internet of Things (IoTs) is growing fast both in terms of number of devices connected and of complexity of deployments and applications. Several research studies analyzing the economical impact of the IoT worldwide identify the interoperability as one of the main boosting factor for its growth, thanks to the possibility to unlock novel commercial opportunities derived from the integration of heterogeneous systems which are currently not interconnected. However, at present, interoperability constitutes a relevant practical issue on any IoT deployments that is composed of sensor platforms mapped on different wireless technologies, network protocols or data formats. The paper addresses such issue, and investigates how to achieve effective data interoperability and data reuse on complex IoT deployments, where multiple users/applications need to consume sensor data produced by heterogeneous sensor networks. We propose a generic three-tier IoT architecture, which decouples the sensor data producers from the sensor data consumers, thanks to the intermediation of a semantic broker which is in charge of translating the sensor data into a shared ontology, and of providing publish-subscribe facilities to the producers/consumers. Then, we describe the real-world implementation of such architecture devised at the Advanced Research Center on Electronic System (ARCES) of the University of Bologna. The actual system collects the data produced by three different sensor networks, integrates them through a SPARQL Event Processing Architecture (SEPA), and supports two frontend applications for the data access, i.e., a web dashboard and an Amazon Alexa voice service.","PeriodicalId":183812,"journal":{"name":"2018 23rd Conference of Open Innovations Association (FRUCT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116173026","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

Area-Efficient FPGA Implementation of Minimalistic Convolutional Neural Network Using Residue Number System 基于剩余数系统的极简卷积神经网络的面积高效FPGA实现

2018 23rd Conference of Open Innovations Association (FRUCT) Pub Date : 2018-11-01 DOI: 10.23919/FRUCT.2018.8588106

N. Chervyakov, P. Lyakhov, M. Valueva, G. Valuev, D. Kaplun, G. Efimenko, D. V. Gnezdilov

引用次数: 4

A General Semantic Web Approach for Data Analysis on Graduates Statistics 面向毕业生统计数据分析的通用语义Web方法

2018 23rd Conference of Open Innovations Association (FRUCT) Pub Date : 2018-11-01 DOI: 10.23919/FRUCT.2018.8588022

A. Carbonaro, Luca Santandrea

{"title":"A General Semantic Web Approach for Data Analysis on Graduates Statistics","authors":"A. Carbonaro, Luca Santandrea","doi":"10.23919/FRUCT.2018.8588022","DOIUrl":"https://doi.org/10.23919/FRUCT.2018.8588022","url":null,"abstract":"Currently, several datasets released in a Linked Open Data format are available at a national and international level, but the lack of shared strategies concerning the definition of concepts related to the statistical publishing community makes difficult a comparison among given facts starting from different data sources. In order to guarantee a shared representation framework for what concerns the dissemination of statistical concepts about graduates, we developed SW4AL, an ontology-based system for graduate’s surveys domain. The developed system transforms low-level data into an enriched information model and is based on the AlmaLaurea surveys covering more than 90% of Italian graduates. SW4AL: i) semantically describes the different peculiarities of the graduates; ii) promotes the structured definition of the AlmaLaurea data and the following publication in the Linked Open Data context; iii) provides their reuse in the open data scope; iv) enables logical reasoning about knowledge representation. SW4AL establishes a common semantic for addressing the concept of graduate’s surveys domain by proposing the creation of a SPARQL endpoint and a Web based interface for the query and the visualization of the structured data.","PeriodicalId":183812,"journal":{"name":"2018 23rd Conference of Open Innovations Association (FRUCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129899836","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