• Journal of Communications and Networks
• /
• v.14 no.5
• /
• pp.566-577
• /
• 2012

In randomly deployed networks, such as sensor networks, an important problem for each node is to discover its neighbor nodes so that the connectivity amongst nodes can be established. In this paper, we consider this problem by incorporating the physical layer parameters in contrast to the most of the previous work which assumed a collision channel. Specifically, the pilot signals that nodes transmit are successfully decoded if the strength of the received signal relative to the interference is sufficiently high. Thus, each node must extract signal parameter information from the superposition of an unknown number of received signals. This problem falls naturally in the purview of random set theory (RST) which generalizes standard probability theory by assigning sets, rather than values, to random outcomes. The contributions in the paper are twofold: First, we introduce the realistic effect of physical layer considerations in the evaluation of the performance of logical discovery algorithms; such an introduction is necessary for the accurate assessment of how an algorithm performs. Secondly, given the double uncertainty of the environment (that is, the lack of knowledge of the number of neighbors along with the lack of knowledge of the individual signal parameters), we adopt the viewpoint of RST and demonstrate its advantage relative to classical matched filter detection method.

• International Journal of Knowledge Content Development & Technology
• /
• v.9 no.2
• /
• pp.33-44
• /
• 2019

This paper discussed the factors that necessitated information networking, types of networks, benefits of information networking, library information networking and the University of Port 0Harcourt library network initiatives. Information networking is a process of communication, exchange of ideas, resource sharing and collaboration between individuals, organizations, institutions and libraries and it is facilitated by ICTs and the internet for improved accessibility. It has been brought about by information explosion, rapid advancement in information communication technologies, inadequate funding and increased demand for quality information. Networks can be classified into local, national, regional, and international networks and are formed to serve different categories of user communities. Benefits of information networking include resource sharing, on-line conferences and participation in programmes at distant centers, collaboration among scholars in different countries. Communication flow through the internet, social media, and electronic mail. Library information networking started with the interlibrary loan which has metamorphosed into library consortia in which groups of libraries partner to coordinate activities, share resources and combine expertise. The University of Port Harcourt Library network initiatives started with an e-granary (a CD ROM) and the establishment of a local area network. The library subscribes to more than 10 electronic databases. Information networking has greatly improved the sharing of resources in acquisition and dissemination of information resources since no single institution can acquire the overwhelming number of information resources in their various formats.

• International Journal of Computer Science & Network Security
• /
• v.23 no.7
• /
• pp.39-48
• /
• 2023

Breast cancer screening makes extensive utilization of mammography. Even so, there has been a lot of debate with regards to this application's starting age as well as screening interval. The deep learning technique of transfer learning is employed for transferring the knowledge learnt from the source tasks to the target tasks. For the resolution of real-world problems, deep neural networks have demonstrated superior performance in comparison with the standard machine learning algorithms. The architecture of the deep neural networks has to be defined by taking into account the problem domain knowledge. Normally, this technique will consume a lot of time as well as computational resources. This work evaluated the efficacy of the deep learning neural network like Visual Geometry Group Network (VGG Net) Residual Network (Res Net), as well as inception network for classifying the mammograms. This work proposed optimization of ResNet with Teaching Learning Based Optimization (TLBO) algorithm's in order to predict breast cancers by means of mammogram images. The proposed TLBO-ResNet, an optimized ResNet with faster convergence ability when compared with other evolutionary methods for mammogram classification.

• Journal of Agricultural Extension & Community Development
• /
• v.9 no.2
• /
• pp.199-213
• /
• 2002

The purpose of this study uses agricultural knowledge system theory to explore how the extension system in South Korea was developed and have worked well. By agricultural knowledge system we emphasized the dynamic networks of actors, processes of negotiation, and the diverse ways in which knowledge is constructed and performed. It was possible that individuals may participate in and utilize multiple knowledge systems. The knowledge systems reflected the idea that the boundaries between knowledge groups were not closed and that there could be considerable overlap between knowledge systems. The constructions of agricultural knowledge systems thus included social interactions, communication, and the diverse processes individuals employ to create, use, and evaluate multiple types and sources of information. As such, there were six priorities to development agricultural extension system; the linkage between agricultural colleges, Rural Development Administration(RDA), branch of RDA, establishing the research institution of research and extension linkage. exchange research agent with extension agent, developing information technology system, bottom-up approach, the linkage between national project and regional within extension projects, enforcement of informal learning.

• Knowledge Management Research
• /
• v.14 no.5
• /
• pp.35-53
• /
• 2013

This paper aims to describe how knowledge management could be put into practice in a voluntary way. From a practice-based standpoint, this study focused closely on the linkage between knowledge and practice. It is because knowledge management could fail if not put into practice. Using its own information system, iCOOP, a federation of consumers' co-operatives in Korea has been practised successful knowledge management voluntarily with its members. Based on the exploratory case study on iCOOP, this study conducted focused interviews with 5 member co-operatives of iCOOP. Main findings are as follows. First, an NoP emerges within a corporate information system when corporate work processes are concentrated in the information system. Second, corporate information system facilitates CoPs and the NoP when its information and information about its users are opened to all of the information system users. In conclusion, this study points out that it is not the matter of primary importance to build a knowledge management system. Rather, practice has the key to the successful knowledge management.

• Proceedings of the IEEK Conference
• /
• 2001.06c
• /
• pp.59-62
• /
• 2001

This paper discusses a data mining technique for time series analysis of traffic data, which provides useful knowledge for network configuration management. Commonly, a network designer must employ a combination of heuristic algorithms and analysis in an interactive manner until satisfactory solutions are obtained. The problem of heuristic algorithms is that it is difficult to deal with large networks and simplification or assumptions have to be made to make them solvable. Various data mining techniques are studied to gain valuable knowledge in large and complex telecommunication networks. In this paper, we propose a traffic pattern association technique among network nodes, which produces association rules of traffic fluctuation patterns among network nodes. Discovered rules can be utilized for improving network topologies and dynamic routing performance.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.12 no.3
• /
• pp.1-9
• /
• 2016

The current meaning of "Big Data" refers to all the techniques for value eduction and actionable analytics as well management tools. Particularly, with the advances of wireless sensor networks, they yield diverse patterns of digital records. The records are mostly semi-structured and unstructured data which are usually beyond of capabilities of the management tools. Such data are rapidly growing due to their complex data structures. The complex type effectively supports data exchangeability and heterogeneity and that is the main reason their volumes are getting bigger in the sensor networks. However, there are many errors and problems in applications because the managing solutions for the complex data model are rarely presented in current big data environments. To solve such problems and show our differentiation, we aim to provide the solution of actionable analytics and semantic reusability in the sensor web based streaming big data with new data structure, and to empower the competitiveness.

• Journal of Institute of Control, Robotics and Systems
• /
• v.5 no.5
• /
• pp.600-613
• /
• 1999

This paper focuses on development of a performance manager for IEEE 802.4 token bus networks to serve large-scale integrated systems. In order to construct the management algorithm, the principles of fuzzy logic, genetic algorithm, and neural network have been combined to represent human knowledge and to imitate of human inference mechanism. Through the simulation experiments, it is shown that the proposed performance manager is capable of improving the network performance without a priori knowledge.

• Knowledge Management Research
• /
• v.13 no.2
• /
• pp.1-18
• /
• 2012

This article describes how attributes of social network contribute to enhance innovativeness of corporation which is considered to be one of the competitive factors in this global market. The study especially focused on employees' formal and informal communication that is expected to play a mediating role between the factors. 211 employees were randomly selected to participate in an online survey. The result has shown that the static correlation exists between social network, communication, and innovativeness. Closeness of social network was the only influencing factor on communication and innovativeness, and had a partial mediated effect between social network and innovativeness. Based on the suggested contribution for HRD intervention, various communication channels should be developed and supported in order to enhance innovation among social networks in organizations.

• Knowledge Management Research
• /
• v.19 no.3
• /
• pp.31-46
• /
• 2018

Despite the organizational benefits of knowledge sharing among employees, many workers are reluctant to share their knowledge with their colleagues. Most organizations have taken a lot of actions to facilitate knowledge sharing among employees, including developing reward systems, enhancing social networks and interpersonal relationships and crafting organizational cultures that support knowledge sharing. To date, however, earlier studies have demonstrated that knowledge doesn't flow easily when an organization makes a concerted effort to facilitate knowledge sharing. The issue whether or not employees are motivated to share their knowledge with others is definitely the main concern in knowledge sharing. The purpose of this study is to explore the conditions under which employees are inclined to share knowledge with other members. Specifically, we examine the effect of knowledge self-efficacy on knowledge sharing intention. In addition, we attempt to investigate medicating effects of personal outcome expectation and performance-related outcome expectation on the relationship between knowledge self-efficacy and knowledge sharing intention. To test the proposed hypotheses in our study, we collected data via a survey with a sample of 210 employees in 23 firms in Korea. The major findings of the empirical research are as follows: 1) knowledge self-efficacy was positively related with knowledge sharing intention. 2) personal outcome expectation has turned out to have a mediation effect on the relationship between knowledge self-efficacy and knowledge sharing intention. 3) performance-related outcome expectation also mediates the relationship between knowledge self-efficacy and knowledge sharing intention That is, this result indicates that knowledge self-efficacy has indirect effect on knowledge sharing intention through personal outcome expectation and performance-related outcome expectation. Based on these findings, implications of the research findings and recommendation for future research are discussed.