Game and graph models of information networks for the study of complex systems

2020 ◽  
Keyword(s):  
Information Management ◽  
Information Networks ◽  
Optimization Models ◽  
Information Network ◽  
Graph Models ◽  
Informational Influence ◽  
Network Game ◽  
Game Player ◽  
Game Theoretic ◽  
Management Method

The questions of analysis, research and development of game-theoretic optimization models, methods of informational influence, control and confrontation in multi-criteria information networks are considered. Keywords game and graph models; information network; network game; player coalition model; information management method; agents benefit

Power information network intrusion detection based on deep learning and cloud computing

2021 ◽  
pp. 1-9
Author(s):  
Xiangbing Zhao ◽  
Jianhui Zhou
Keyword(s):  
Cloud Computing ◽  
Deep Learning ◽  
Intrusion Detection ◽  
High Speed ◽  
Information Networks ◽  
Network Intrusion Detection ◽  
Information Network ◽  
Advantages And Disadvantages ◽  
Network Intrusion ◽  
Capture Mechanism

With the advent of the computer network era, people like to think in deeper ways and methods. In addition, the power information network is facing the problem of information leakage. The research of power information network intrusion detection is helpful to prevent the intrusion and attack of bad factors, ensure the safety of information, and protect state secrets and personal privacy. In this paper, through the NRIDS model and network data analysis method, based on deep learning and cloud computing, the demand analysis of the real-time intrusion detection system for the power information network is carried out. The advantages and disadvantages of this kind of message capture mechanism are compared, and then a high-speed article capture mechanism is designed based on the DPDK research. Since cloud computing and power information networks are the most commonly used tools and ways for us to obtain information in our daily lives, our lives will be difficult to carry out without cloud computing and power information networks, so we must do a good job to ensure the security of network information network intrusion detection and defense measures.

scholarly journals Mapping of Education Information Networks in Community of Cintaratu Village Pangandaran

2020 ◽  
Vol 4 (2) ◽  
pp. 279
Author(s):  
Evie Ariadne Shinta Dewi ◽  
Nindi Aristi ◽  
Rachmaniar Rachmaniar
Keyword(s):  
Information Dissemination ◽  
Information Networks ◽  
Quality Of Education ◽  
Information Network ◽  
The Public ◽  
The University ◽  
The Village ◽  
Depth Interviews ◽  
Educational Information

This article is based on the results of research which the aim is to find out how is mapping of the education information dissemination network in the community of Cintaratu village, Pangandaran district. The reason for choosing the topic was that Padjadjaran University (Unpad) campus is in the village and it is assumed that the presence of the university in the village could improve the quality of education of its people. To confirm this assumption, it is necessary to map the education sector information network. We use qualitative methods which approach is a descriptive study, the researchers conducted a mapping of educational information dissemination. The main informants of this study are the community and village officials. Data were collected through in-depth interviews, passive participatory observation, and literature studies. The finding of the research are as follows, 1) the initial mapping of educational information dissemination to the community was carried out through direct communication, namely through two major activities - recitation and celebration; 2) recitation and celebration are two activities that are susceptible to physical noise-causing information related to education not conveyed properly to the public. Effective communication does not occur in these two activities. 

scholarly journals THE DEVELOPMENT OF INVENTORY, MONITORING AND INFORMATION NETWORKS SYSTEM OF FAUNAL DIVERSITY IN SOUTH SUMATRA

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Indra Yustian ◽  
Arum Setiawan ◽  
Doni Setiawan ◽  
Laila Hanum ◽  
Zulkifli Dahlan
Keyword(s):  
Web Application ◽  
Action Plan ◽  
Conservation Status ◽  
Information Networks ◽  
Data Management System ◽  
Information Network ◽  
International Level ◽  
Deforestation Rate ◽  
Degradation Rates ◽  
Biodiversity Information

Despite high attention and commitment of Indonesia in biodiversity conservation and its habitat, however, loss of biodiversity and habitat deforestation is also still high. Deforestation rate in Indonesia between period of 2000-2012 reach up 6.02 million ha, and approximately onethird of which is in Sumatra Island. As the fulfillment of CBD and Aichi targets, and in line with the mandate of the Law on the Conservation of Natural Resources and Ecosystems and IBSAP (Indonesian Biodiversity Strategy & Action Plan 2015-2020), we try to support the requires data as well as information on the current state of biodiversity. The aims are to develop an inventory system of biodiversity needed to establish baseline data on biodiversity including its conservation status in South Sumatra, develop a biodiversity monitoring system with qualitative parameters that can be used in the determination and monitoring of degradation rates of biodiversity, and the establishment of data management system and information network of fauna biodiversity in South Sumatera so that it can be utilized in monitoring and reporting of biodiversity at regional, national and international level at the international level. We conduct a comprehensive review of methods and techniques of inventory and monitoring of fauna biodiversity, especially those that have been done in the area of South Sumatra Province. We also analysis of data needs and information network of fauna biodiversity in South Sumatra. The results is shows in the web-application database, called the South Sumatran Biodiversity Information Networks, or SSBIN, and could preview at http://ssbin.unsri.ac.id/.Keywords: south sumatra, biodiversity, information, networks, SSBIN.

Disassembly Processing Information Management System of Automotive Products Based on Disassembly Level Planning

2017 ◽  
Vol 863 ◽  
pp. 361-367
Author(s):  
Jun Zhong ◽  
Hong Bao ◽  
Yan Wang
Keyword(s):  
Environmental Protection ◽  
Information Management ◽  
Level Scheme ◽  
Management System ◽  
Information Management System ◽  
Planning Model ◽  
Regulatory Requirements ◽  
Disassembly Process ◽  
Processing Information ◽  
Management Method

As the current regulatory requirements of automobile disassembly and recycling are becoming strict increasingly, it is necessary to focus on environmental protection in the processing and information management system of disassembly and recycling. This paper studies on the information management method and system implementation of disassembly and recycling processing of automotive products. Firstly, the concept of parts-disassembly level is put forward and the level planning model is built together with the confirmed methods of parts-disassembly level scheme by LCIA. Then, a management system platform for disassembly process of automotive products is developed. Finally, the feasibility and availability of this system is verified by the application example of the disassembly level for a certain type automobile.

scholarly journals A Survey of Data Mining Techniques on Information Networks

2018 ◽  
Vol 7 (2.6) ◽  
pp. 293
Author(s):  
Sadhana Kodali ◽  
Madhavi Dabbiru ◽  
B Thirumala Rao
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Information Networks ◽  
Information Network ◽  
Heterogeneous Information ◽  
Data Mining Techniques ◽  
Heterogeneous Information Networks ◽  
Web Objects ◽  
The Social ◽  
Social Media Network

An Information Network is the network formed by the interconnectivity of the objects formed due to the interaction between them. In our day-to-day life we can find these information networks like the social media network, the network formed by the interaction of web objects etc. This paper presents a survey of various Data Mining techniques that can be applicable to information networks. The Data Mining techniques of both homogeneous and heterogeneous information networks are discussed in detail and a comparative study on each problem category is showcased.

scholarly journals Identifying the Salient Genes in Microarray Data: A Novel Game Theoretic Model for the Co-Expression Network

Diagnostics ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 586
Author(s):  
Papori Neog Bora ◽  
Vishwa Jyoti Baruah ◽  
Surajit Borkotokey ◽  
Loyimee Gogoi ◽  
Priyakshi Mahanta ◽  
...  
Keyword(s):  
Gene Expression ◽  
Genetic Diseases ◽  
System Level ◽  
Theoretic Model ◽  
Cancer Dataset ◽  
Network Games ◽  
Diagnosis And Prognosis ◽  
Network Game ◽  
Game Theoretic ◽  
Relevance Index

Microarray techniques are used to generate a large amount of information on gene expression. This information can be statistically processed and analyzed to identify the genes useful for the diagnosis and prognosis of genetic diseases. Game theoretic tools are applied to analyze the gene expression data. Gene co-expression networks are increasingly used to explore the system-level functionality of genes, where the roles of the genes in building networks in addition to their independent activities are also considered. In this paper, we develop a novel microarray network game by constructing a gene co-expression network and defining a game on this network. The notion of the Link Relevance Index (LRI) for this network game is introduced and characterized. The LRI successfully identifies the relevant cancer biomarkers. It also enables identifying salient genes in the colon cancer dataset. Network games can more accurately describe the interactions among genes as their basic premises are to consider the interactions among players prescribed by a network structure. LRI presents a tool to identify the underlying salient genes involved in cancer or other metabolic syndromes.

Research on Management Information System for Construction Consultant in Hydropower Project Based on Process Control

2012 ◽  
Vol 594-597 ◽  
pp. 2986-2989
Author(s):  
Rui Wang ◽  
Deng Hua Zhong ◽  
Jun Ping Zhou
Keyword(s):  
Information System ◽  
Process Control ◽  
Information Management ◽  
Management Information System ◽  
Management Mode ◽  
Hydropower Project ◽  
Management Information ◽  
Workflow Technology ◽  
Management Method

The work of construction consultant in hydropower project in China is different from other countries and the Chinese consultant is more like a supervisor whose work is constrained by the owner. Therefor the consultant has to coordinate among designers, owner and constructors and the information management becomes complex and trivial, especially in the manual management mode, it is difficult to communicate among departments and staffs and manage the information promptly and efficiently. This paper proposed a process control based information management method which includes the main consultant workflow and the consultant business database and used the workflow technology to develop a flexible and adaptable MIS (Management Information System) for construction consultant.

Graph Colorings Applied in Scale-Free Networks

2013 ◽  
Vol 760-762 ◽  
pp. 2199-2204 ◽  
Author(s):  
Chao Yang ◽  
Bing Yao ◽  
Hong Yu Wang ◽  
Xiang'en Chen ◽  
Si Hua Yang
Keyword(s):  
Communication Networks ◽  
Information Networks ◽  
Chromatic Numbers ◽  
Graph Colorings ◽  
Graph Models ◽  
Important Method ◽  
Scale Free ◽  
Scale Free Networks ◽  
As Graph

Building up graph models to simulate scale-free networks is an important method since graphs have been used in researching scale-free networks and communication networks, such as graph colorings can be used for distinguishing objects of communication and information networks. In this paper we determine the avdtc chromatic numbers of some models related with researching networks.

A comparative study on heterogeneous information network embeddings

2020 ◽  
Vol 39 (3) ◽  
pp. 3463-3473
Author(s):  
Fujiao Ji ◽  
Zhongying Zhao ◽  
Hui Zhou ◽  
Heng Chi ◽  
Chao Li
Keyword(s):  
Comparative Study ◽  
Communication Networks ◽  
Problem Definition ◽  
Information Networks ◽  
Future Research ◽  
Information Network ◽  
Network Embedding ◽  
Heterogeneous Information Network ◽  
Heterogeneous Information ◽  
Heterogeneous Information Networks

Heterogeneous information networks are widely used to represent real world applications in forms of social networks, word co-occurrence networks, and communication networks, etc. However, It is difficult for traditional machine learning methods to analyze these networks effectively. Heterogeneous information network embedding aims to convert the network into low dimensional vectors, which facilitates the following tasks. Thus it is receiving tremendous attention from the research community due to its effectiveness and efficiency. Although numerous methods have been present and applied successfully, there are few works to make a comparative study on heterogeneous information network embedding, which is very important for developers and researchers to select an appropriate method. To address the above problem, we make a comparative study on the heterogeneous information network embeddings. Specifically, we first give the problem definition of heterogeneous information network embedding. Then the heterogeneous information networks are classified into four categories from the perspective of network type. The state-of-the-art methods for each category are also compared and reviewed. Finally, we make a conclusion and suggest some potential future research directions.

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