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检索条件"任意字段=3rd International Conference on Soft Computing in Data Science, SCDS 2017"

共 696 条记录，以下是381-390 订阅

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Exploring Diversified Incentive Strategies for Long-term Participatory Sensing data Collections 3

Exploring Diversified Incentive Strategies for Long-term Par...

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3rd international conference on Big data computing and Communications (BIGCOM)

作者： Ji, Xinna Zhao, Dong Yang, Hao Liu, Liang Beijing Univ Posts & Telecommun Beijing Key Lab Intelligent Telecommun Software & Beijing Peoples R China

ISBN: (纸本)9781538633496

The popularity of smartphones provides a new data collection paradigm, participatory sensing, which extends existing web-based crowdsourcing applications to pervasively collect sensing data around the physical world. It is important to design an effective incentive strategy to attract enough users' participation to guarantee the success of participatory sensing applications. Most of existing incentive mechanisms lack sufficient evaluation on the feasibility and effectiveness in a practical application scenario. Although some recent studies consider several practical factors in psychology and sociology, and evaluate different incentive strategies in practical experiments, but still fail to consider the time and location dependence of sensing data or the long-term sensing data collection requirements. In this paper, we focus on a new participatory sensing application, namely to recruit users to take time and geo-tagged images of the sky for a long duration to build a large-scale dataset, which is used in the research on outdoor air quality level inference. Three incentive strategies, linear reward, competitive and random red envelope are considered. Furthermore, we explore to combine three incentive strategies in different orders to investigate their effects on long-term data collections and perform practical experiments in three universities for a long duration (6 weeks). A number of sky images are collected, from which we obtain some interesting insights, providing important guidelines for designing diversified incentive strategies for long-term participatory sensing data collections.

关键词： participatory sensing crowdsourcing incentive strategies data collection

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Efficient bottom-up Mining of Attribute Based Access Control Policies 3

Efficient bottom-up Mining of Attribute Based Access Control...

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3rd IEEE international conference on Collaboration and Internet computing (CIC)

作者： Talukdar, Tanay Batra, Gunjan Vaidya, Jaideep Atluri, Vijayalakshmi Sural, Shamik Rutgers Business Sch MSIS Dept Newark NJ 08854 USA IIT Kharagpur Dept Comp Sci & Engn Kharagpur W Bengal India

ISBN: (纸本)9781538625651

Attribute Based Access Control (ABAC) is fast replacing traditional access control models due to its dynamic nature, flexibility and scalability. ABAC is often used in collaborative environments. However, a major hurdle to deploying ABAC is to precisely configure the ABAC policy. In this paper, we present an ABAC mining approach that can automatically discover the appropriate ABAC policy rules. We first show that the ABAC mining problem is equivalent to identifying a set of functional dependencies in relational databases that cover all of the records in a table. We also propose a more efficient algorithm, called ABAC-SRM which discovers the most general policy rules from a set of candidate rules. We experimentally show that ABAC-SRM is accurate and significantly more efficient than the existing state of the art.

关键词： Organizations Authorization Cardiology Medical services Collaboration data mining

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data exchange protocol in self-organizing computing environments 3

Data exchange protocol in self-organizing computing environm...

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3rd international conference on Information Technology and Nanotechnology (ITNT)

作者： Filimonov, D. V. Timofeeva, S. V. Sukhov, A. M. Samara Natl Res Univ 34 Moskovskoe Shosse Samara 443086 Russia

The paper describes the development of a data exchange protocol for self-organizing computing environments with minimal delay. This protocol is designed for networks of mobile devices based on the neighborhoods method. The protocol is implemented using two broadcast requests. One of these requests is issued by the node at the beginning of the route;the second is from the other endpoint. The neighborhoods method allows the selection of the data types and sizes of the header fields of communication packets. This paper contains a justification for the metrics function used for route selection, and an estimation of the computational complexity of the algorithm based on the neighborhoods method is carried out. (C) 2017 The Authors. Published by Elsevier Ltd.

关键词： Metric function of neighborhoods method routing protocol with minimal latency

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SEESH: Sleep-awake energy efficient super heterogeneous routing protocol for Wireless Sensor Networks 3

SEESH: Sleep-awake energy efficient super heterogeneous rout...

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3rd international conference on Advances in computing, Communication and Automation (Fall), ICACCA 2017

作者： Singh, Vikas Thakkar, V.M. Goswami, Vasudev Computer Science and Engineering GBPEC Pauri Ghurdauri India

ISBN: (纸本)9781509064038

Wireless Sensor Networks are extensively using the idea of heterogeneity to increase the throughput, network lifetime, and stability. Many routing algorithms on the idea of heterogeneity are proposed that mainly focuses on energy efficiency, stability, network lifetime, and clustering processes and many more are likely to come. We put forward Sleep-Awake Energy Efficient Super Heterogeneous (SEESH) protocol. This protocol assumes four levels of heterogeneity in conjunction with the pairing of nodes. These nodes are deployed in four different energy regions to exploit heterogeneity at maximum. In each pair of node, one node sleeps and saves the energy resources while the other node awakes and transfers the data to cluster head. The cluster heads in each region are chosen based on average energy of each four energy regions and remaining energy of nodes. The results are verified and proved using MATLAB. © 2017 IEEE.

关键词： Energy efficiency

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An approach to handel nondeterminism in fuzzy time series forecasting by hesitant fuzzy sets 3

An approach to handel nondeterminism in fuzzy time series fo...

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3rd international conference on Advances in computing, Communication and Automation (Fall), ICACCA 2017

作者： Bisht, Kamlesh Dhyani, Makrand Kumar, Sanjay Department of Mathematics Statistics and Computer Science G. B. Pant University of Agriculture and Technology Pantnagar Uttarakhand263145 India

ISBN: (纸本)9781509064038

In this present study, we have addressed the issue of hesitancy in fuzzy set based forecasting method that occurs due to the availability of several fuzzification method of time series data and propose integrated fuzzy time series forecasting method with hesitant fuzzy sets. In this study, partition the universe of discourse and used triangular and Gaussian fuzzy membership function to construct hesitant fuzzy sets. Further to this hesitant fuzzy element are aggregated by a suitable aggregation operator to construct fuzzy logical relations. Proposed forecasting method is implemented over the historical enrollments of Alabama University. The outperformance is tested over other forecasted models under the error measure, validation test and statistical analysis. © 2017 IEEE.

关键词： Forecasting

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Performance analysis of intrusion detection systems in the cloud computing 3

Performance analysis of intrusion detection systems in the c...

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3rd international conference of Cloud computing Technologies and Applications, CloudTech 2017

作者： Derfouf, Mostapha Eleuldj, Mohsine Department of Computer Science Mohammadia School of Engineers MOHAMMED v UNIVERSITY in Rabat Morocco

ISBN: (纸本)9781538611159

Cloud computing is a paradigm that provides access to compute infrastructure on demand by allowing a user to use a big number of virtual machines (VMs) to solve a given computational problem. Before implementing new applications running on the cloud, it is often useful to estimate the different performance/cost of possible implementations. Do it physically on cloud providers will be intensive and expensive, this is why we use simulators. In this paper we will compare the different scenarios of collaborative intrusion detection systems that we have proposed already in a previous paper [1] using a tool called CloudAnalyst that was developed to simulate large-scale Cloud applications with the purpose of studying the behavior of such applications under various deployment configurations. The simulation is made taking into consideration several parameters such as the data processing time, the response time, user hourly average, the request servicing time, the total data transfer and virtual machines costs, the obtained results are analyzed and compared. © 2017 IEEE.

关键词： Cloud computing

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Experience of using the WELCOME remote monitoring system on patients with COPD and comorbidities 3rd

Experience of using the WELCOME remote monitoring system on ...

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3rd international conference on Biomedical and Health Informatics, ICBHI 2017

作者： Kaimakamis, E. Perantoni, E. Serasli, E. Kilintzis, V. Chouvarda, I. Kayyali, R. Nabhani-Gebara, S. Chang, J. Siva, R. Hibbert, R. Philips, N. Karamitros, D. Raptopoulos, A. Frerichs, I. Wacker, J. Maglaveras, N. Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Ag. Dimitriou street Thessaloniki Greece Pulmonary Department General Hospital "G. Papanikolaou" Thessaloniki Greece Faculty of Science Engineering and Computing Kingston University Kingston-upon-Thames United Kingdom Chest Clinic and Research and Development Croydon University Hospital Croydon United Kingdom EXUS Company Athens Greece Department of Anesthesiology and Intensive Care Medicine University Medical Centre Schleswig-Holstein Kiel Germany CSEM Company Neuchatel Switzerland

ISBN: (纸本)9789811074189

The WELCOME system is an innovative telemonitoring system designed to provide constant monitoring of COPD patients also suffering from other major comorbidities. It consists of a sensors vest capable of recording various vital parameters in real time and transmitting them to the cloud via a tablet PC and wireless connection. In addition, peripheral devices record extra physiological data which is coupled with responses to validated health questionnaires that the patient responds to via the tablet. A dedicated medical decision support system (DSS) and a medical professional user interface support the system in providing automated detection of abnormal conditions. The obtained signals included Heart and Respiratory Rate, Body Posture, SpO2, multi-lead ECG, Auscultation and Electric Impedance Tomography. The system is tested with pilot studies in two European countries, Greece and UK. The preliminary results from the Greek pilot study are presented in this paper, highlighting the main findings from the first operational use of the WELCOME infrastructure. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Decision support systems

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An Evaluation Method of data Valuation Based on Analytic Hierarchy Process 14

An Evaluation Method of Data Valuation Based on Analytic Hie...

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14th international Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN) / 11th international conference on Frontier of Computer science and Technology (FCST) / 3rd international Symposium of Creative computing (ISCC)

作者： Qiu, Shaoming Du, Xiuli Zhang, Dong Dalian Univ Coll Informat Engn Dalian Peoples R China

ISBN: (纸本)9781538608401

In the data migration study, in order to make migration efficient, accurately measuring the value of data is useful. Aiming at the problem that the existing data value measure method can not describe the true value of data accurately, this paper presents a new evaluation method of data value. The algorithm not only considers the size of the data, access time, file content, data read and write frequency and access, while taking into account the importance of the data and the possibility of being accessed over time. We use analytic hierarchy process to weight the value of data attribute and get the quantization formula of data value. The results show that this algorithm can express the value of data more accurately, which improves the data access hit rate of the storage system.

关键词： data value degree hierarchical storage data migration analytic hierarchy process(AHP)

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A privacy preservation scheme in cloud environment 3

A privacy preservation scheme in cloud environment

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3rd IEEE international conference on Advances in Electrical and Electronics, Information, Communication and Bio-Informatics, AEEICB 2017

作者： Agarkhed, Jayashree Ashalatha, R. Department of Computer Science Poojya Doddappa Appa College of Engineering Kalaburagi Karnataka India

ISBN: (纸本)9781509054343

Cloud computing is named as virtual computing in information technology which makes use of virtual data centers and also needs ultimate privacy protection. The cloud computing features aims at providing security and confidentiality to its customers. The business officials have gained maximum profit using the cloud environment. The privacy preservation and cloud security issue is the most critical challenge that we are facing in today's world in cloud computing. The present work highlights the security as well as privacy issues in cloud area for maintaining integrity and confidentiality in the cloud environment. © 2017 IEEE.

关键词： Cloud security

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Fault Detection and Diagnosis of Analog Circuit Using soft computing Technique

Fault Detection and Diagnosis of Analog Circuit Using Soft C...

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3rd international conference on computing, Communication, Control and Automation (ICCUBEA)

作者： Mandaogade, Nitin N. Ingole, Prashant V. Thakare, Sneha GHRCEM Dept EXTC Amravati Maharashtra India PRMITR IT Dept Amravati Maharashtra India

ISBN: (纸本)9781538640081

Circuit fault diagnosis is an important area for electronic manufacturing industries. For critical applications, it is desired to design & develop the system that will detect the fault appearing condition by analyzing various circuit parameters. It is proposed to develop the fault detection and diagnosis system which analyzes circuit parameters like supply current and output voltage of circuit under test (CUT). From these parameters it is possible to identify the deviation in performance of the circuit. The circuit under test is H Bridge Inverter which converts the input DC voltage to AC voltage. Analog circuit fault detection and diagnosis system based on embedded board is achieved. A real time embedded system with ATmega16 microcontroller is developed due to which real time data extraction is possible. Back Propagation neural network algorithm with embedded system is applied to that system. Real-time data collection, analog circuit fault detection and location are designed as the basic functions of fault detection and diagnosis system.

关键词： CUT Circuit Parameters Fault Diagnosis soft computing Technique

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