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the Association Rules Algorithm Based on Clustering in Mining Research in Corn Yield

The Association Rules Algorithm Based on Clustering in Minin...

引用

the 10th international conference on Computer and computing Technologies in Agriculture (CCTA 2016)

作者： Bo Liu Guifen Chen JiLin Agricultural University College of Information Technology

With the popularization of agricultural information technology, the use of data mining techniques to analyze the impact of different types of soil nutrient content and yield of corn has become a hot topic in the field of agriculture. Association rule mining is an important part of the field in Data mining,association rules can be found associated with agricultural data attributes. this article will use cluster analysis and association rule to analysis correlation between corn yield and soil nutrient. Firstly compare different clustering algorithm to chooses the optimal algorithm, make data collected in scientific classification, and based on expert knowledge of the collected data into different levels;then determine the type and content of different soil by association rules corn yield and soil nutrient;final inspection algorithm is correct. the results showed that: comparing K-means, hierarchical clustering analysis, and PAM, K-means algorithm to determine the optimal clustering;K value can be determined at selected intervals. K is equal to 3, 4 or 6, clustering effect is good according to Sil value when K from 3 to 10. Based on the principle of association rules, clustering algorithm to select a K value associated with the combination of rule 6;After clustering algorithm of association rules, support and credibility and improve degree of accuracy is better than not clustering;by mining association rules after clustering, a great influence on the different levels of soil nutrients in corn *** results for the corn yield provides intelligent decision support data.

关键词： Corn yield Cluster analysis Association rules Frequent itemsets Apriori algorithm

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Heterogeneous network data acquisition and storage solution in cloud environment 5th

Heterogeneous network data acquisition and storage solution ...

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5th international conference on Environmental Science and Information Application technology (ESIAT)

作者： Ren, Chunshao Yang, Jiandong Mao, Wei Zhang, Dengyin Nanjing Univ Posts & Telecommun Key Lab Broadband Wireless Commun & Sensor Networ Minist Educ Nanjing Peoples R China Nanjing Univ Posts & Telecommun Sci Tech Pk Internet Things Nanjing Peoples R China

ISBN: (纸本)9781315684895;9781138028142

there exist a number of heterogeneous net units in network in cloud environment. the problem faced by current network management is how to collect and store data generated by net units. To solve this problem, this paper proposes an acquisition and storage solution of huge network management data based on HBase. Taking the characteristics of heterogeneous network management data and advantages of HBase storage into consideration, an integrated and event-driven solution is made to realize huge network management data acquisition and storage. It has been proven by practice that by distributed computing of Hadoop and distributed columnar storage of HBase, the solution has secured efficient parallelization of acquisition and storage of the data. Acquisition performance can be linearly increased when the number of acquisition servers is extended. In theory, over 13 acquisition servers can run a poll to tens of thousands of net unit device in heterogeneous network within 3 minutes.

关键词： Heterogeneous networks

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A New Technical Solution for Resource Allocation in Heterogeneous distributed Platforms 6

A New Technical Solution for Resource Allocation in Heteroge...

引用

6th international conference on Applications of Digital Information and Web Technologies (ICADIWT)

作者： Ha Huy Cuong Nguyen Dac-Nhuong Le Van Son Le Nguyen thanh thuy Quangnam Univ Dept Informat Technol Tam Ky Vietnam Haiphong Univ Fac Informat Technol Haiphong Vietnam Danang Univ Danang Univ Educ Da Nang Vietnam VNU Univ Engn & Technol Hanoi Vietnam

ISBN: (纸本)9781614995036;9781614995029

An allocation of resources to a virtual machine specifies the maximum amount of each individual element of each resource type that will be utilized, as well as the aggregate amount of each resource of each type. In this paper, we present an new approach to improve the deadlock detection algorithm, to schedule the policies of resource supply for allocating multiple resources to competing services running in virtual machines on a heterogeneous distributed platform. We introduce the matrix representation of a deadlock detection problem and some essential features can be mapped into a cloud architecture which can handle multiple requests/grants simultaneously and can detect multiple deadlocks in linear time, hence, significantly improving performance. Our algorithm proposed has a run time complexity of O(min(m, n)), where m is the number of resources and n is the number of processes. the experiments also compare the performance of our algorithm proposed approach with other related works.

关键词： Cloud computing Resource allocation Heterogeneous Platforms Deadlock detection

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Integrating Building Automation Technologies with Smart Cities An Assessment Study of past, Current and Future Interroperable Technologies 4

Integrating Building Automation Technologies with Smart Citi...

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4th international conference on Smart Cities and Green ICT Systems / 1st international conference on Vehicle technology and Intelligent Transport Systems (VEHITS)

作者： Lilis, Georgios Conus, Gilbert Asadi, Nastaran Kayal, Maher Ecole Polytech Fed Lausanne Elect Lab Lausanne Switzerland

ISBN: (纸本)9789897581052

Future smart cities would integrate a wide range of mostly heterogeneous systems and ICT is an essential asset in the coordination of those. the smart buildings, a major smart cities research and development domain, should advance beyond the complex automation tools and the anticipated energy and comfort envelope. the universal convergence to technologies that would enable the seamless integration with the anticipated smart cities urban environment should be highlighted. Although it is a concept widely accepted for current and future developing standards, it is much less communicated across scientific fields as for example the urban development and building automation. Even worse its necessity, in the latter, is frequently challenged. this paper firstly will try to address the market and scientific criticism towards a fully web-services enabled building in a fair and transparent approach. Secondly it proposes a system as an interoperability layer able to build advanced managements schemes by integrating the assets of current automation and monitoring systems to the internet backbone.

关键词： Smart Cities Cloud computing Smart Environments Smart Buildings Smart Grid internet of things Web of things IPv6

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SFR: Scalable forwarding with RINA for distributed clouds

SFR: Scalable forwarding with RINA for distributed clouds

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international conference on the Network of the Future (NOF)

作者： Fatma Hrizi Anis Laouiti Hakima Chaouchi Telecom SudParis France

distributed clouds have been regarded as the key enabling technology to provide new trends of services. the contribution of this paper is twofold. First, we discuss current distributed clouds architecture and highlight the issues involved, specifically scalability. Second, we investigate the benefits of the use of the Recursive internetwork Architecture (RINA) as a networking solution for the distributed clouds. Our proposal, called Scalable Forwarding with RINA (SFR), has been evaluated via simulations and showed to reduce the routing table size by around 75%. the paper concludes by highlighting the advantages of the RINA-based approach over current distributed clouds networking solutions in terms of scalability, simplicity and manageability.

关键词： Cloud computing Routing Scalability Computer architecture Computers Security Protocols

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Improving bag-of-words representation with efficient twin feature integration 15

Improving bag-of-words representation with efficient twin fe...

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7th international conference on internet Multimedia computing and Service, ICIMCS 2015

作者： Wang, Lei Wang, Hanli Department of Computer Science and Technology Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China

ISBN: (纸本)9781450335287

In recent years, the Bag-of-Words (BoW) model has been widely used in most state-of-the-art large-scale image re-trieval systems. However, the standard BoW based systems suffer from low discriminative power of local features as well as quantization errors that significantly affect the retrieval performance. In this paper, twin feature is employed and well combined with two advanced techniques including Ham-ming Embedding (HE) and Multiple Assignment (MA) to construct a discriminative image retrieval system on BoW representation in an efficient way. Experimental results on two benchmark datasets Oxford5k and Paris6k demonstrate that the proposed technique can greatly refine the visual matching process and enhance the final performance for im-age retrieval. © 2015 ACM.

关键词： Image retrieval

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Agriculture Big Data: Research Status, Challenges and Countermeasures 1

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8th IFIP WG 5.14 international conference (CCTA)

作者： Zhang, Haoran Wei, Xuyang Zou, Tengfei Li, Zhongliang Yang, Guocai Southwest Univ Sch Comp & Informat Sci Chongqing 400715 Peoples R China

ISBN: (数字)9783319196206

ISBN: (纸本)9783319196206;9783319196190

Agriculture data type and amount in human society is growing in an amazing speed which is caused by the emerging of agricultural internet of things. the growth of agricultural data volume brought many difficulties in storage and analysis. the realization of the big data and cloud computing technologies provides the solution of these problems. the cloud computing and big data technologies can be applied in agriculture to solve the problems in storage and analysis. this paper elaborates the related concept of agricultural big data briefly, and emphasizes some current researches, the challenges that agricultural big data should face in the future and its countermeasures.

关键词： agricultural big data cloud computing challenge countermeasure

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A Relational Context Proximity Query Language 6

A Relational Context Proximity Query Language

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6th international ICST conference on Mobile Networks and Management (MONAMI)

作者： Walters, Jamie Kanter, theo Rahmani, Rahim Stockholm Univ Dept Comp & Syst Sci Forum 100 Kista Sweden

ISBN: (纸本)9783319162928;9783319162911

the creation of applications and services realising massive immersive participation require the provisioning of current, relevant and accurate context information. these applications benefit from access to this highly dynamic information in real time. Existing approaches to provisioning context information are limited by their interpretation of context relationships as address book solutions thus limiting the discovering of related entities. We introduce the context proximity query language (CPQL) for querying context related entities on distributed across collections of remote endpoints. As a declarative query language (CPQL) is similar in structure to SQL and describes the relationships between entities as distance functions between their associated context information. We simulate CPQL and show that it offers improvements over existing approaches while scaling well.

关键词： Context-Awareness Immersive participation Context Context models internet of things Context proximity Sensor information P2P context Query language

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Design and implementation of P2P users' action simulation system

Design and implementation of P2P users' action simulation sy...

引用

IEEE international conference on Software Engineering and Service Sciences (ICSESS)

作者： Yulong Yang Lianzhong Liu Shu Min School of Computer Science and Engineering Beihang University Beijing China National Computer Network Emergency Response Coordination Center of China Beijing China

ISBN: (纸本)9781479983544

With the rapid development of P2P network technology, the share of P2P internet traffic is growing among the total internet traffic. Because of the complex structure of P2P network and its protocals is flexible, most of the traditional P2P simulations simulate P2P protocols. this paper presents a distributed P2P users' action simulation system which is able to flexibly configure the content and P2P users' action sequence. Meantime, the system can simulate the execution progress of the action sequence of the P2P network for multiple users with generated data traffic containing specific content. At the same time, the system also provides rich users' action sequence templates, and records the execution progress and corresponding results. Experiments show that the system can simulate real users' action P2P sequence through simple and flexible configuration.

关键词： Servers Databases Peer-to-peer computing internet Data models Computational modeling Protocols

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On security and privacy issues of fog computing supported internet of things environment

On security and privacy issues of fog computing supported In...

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international conference on the Network of the Future (NOF)

作者： Kanghyo Lee Donghyun Kim Dongsoo Ha Ubaidullah Rajput Heekuck Oh Department of Computer Science and Engineering Hanyang University South Korea

Recently, the concept of internet of things (IoT) is attracting much attention due to the huge potential. IoT uses the internet as a key infrastructure to interconnect numerous geographically diversified IoT nodes which usually have scare resources, and therefore cloud is used as a key back-end supporting infrastructure. In the literature, the collection of the IoT nodes and the cloud is collectively called as an IoT cloud. Unfortunately, the IoT cloud suffers from various drawbacks such as huge network latency as the volume of data which is being processed within the system increases. To alleviate this issue, the concept of fog computing is introduced, in which foglike intermediate computing buffers are located between the IoT nodes and the cloud infrastructure to locally process a significant amount of regional data. Compared to the original IoT cloud, the communication latency as well as the overhead at the backend cloud infrastructure could be significantly reduced in the fog computing supported IoT cloud, which we will refer as IoT fog. Consequently, several valuable services, which were difficult to be delivered by the traditional IoT cloud, can be effectively offered by the IoT fog. In this paper, however, we argue that the adoption of IoT fog introduces several unique security threats. We first discuss the concept of the IoT fog as well as the existing security measures, which might be useful to secure IoT fog. then, we explore potential threats to IoT fog.

关键词： Cloud computing Security Privacy internet of things Sensors Real-time systems distributed databases

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