• Journal of Sport and Applied Science
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• v.7 no.2
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• pp.29-38
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• 2023

Purpose: The purpose of this study is to examine the structural relationship among relationship marketing, relationship quality, and behavioral intention toward children sports centers. Research design, data, and methodology: To achieve this purpose, this study employed a convenience sampling method via a questionnaire dissemination. A total of 427 responses were collected from the parents of six children sports centers. Among those, 21 responses were excluded as they were not completed, leaving 406 valid data. For hypotheses test, the collected data was computed in SPSS 27.0 and AMOS 27.0, and analyzed with frequency analysis, correlation analysis, reliability analysis, confirmatory factor analysis, and structural equation modeling analysis. Results: First, relationship marketing had a positive influence on relationship quality. Second, relationship marketing had a positive influence on behavioral intention. Third, relationship quality had a positive influence on behavioral intention. Conclusions: Results showed that relationship marketing had a positive influence on relationship quality and behavioral intention. Moreover, relationship quality had a positive influence on behavioral intention. These findings indicate a positive function of relationship marketing in building psychological and behavioral outcomes in the context of children sport industry. Given this, implications of relationships among research variables were discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.17-27
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• 2012

Broadcast-based data dissemination has become a widely accepted approach of communication in the mobile computing environment. However, with a large set of data items, the expected delay of receiving a desired data increases due to the sequential nature of the broadcast channel. This paper explores the issue of designing proper data allocation on multiple broadcast channels to reduce this wait time, and proposes a new data allocation scheme named near optimal data allocation(NODA). The proposed scheme first partitions all data items in K group based on the theoretical lower-bound of the average expected delay to determine data items which each broadcast channel has to broadcast. Then, NODA further partitions each group of data items in B groups using extended dynamic programming algorithm to broadcast data items allocated on the same broadcast channel in different frequencies. The proposed scheme is capable of minimizing the average expected delay time since it can broadcast data items allocated on the same channel reflecting their popularities.

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.17-23
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• 2016

In the future network such as Internet of Things (IoT), the number of computing devices are expected to grow exponentially, and each of the things communicates with the others and acquires information by itself. Due to the growing interest in IoT applications, the broadcasting in Opportunistic ad-hoc networks such as Machine-to-Machine (M2M) is very important transmission strategy which allows fast data dissemination. In distributed networks for IoT, the energy efficiency of the nodes is a key factor in the network performance. In this paper, we propose a fuzzy logic based probabilistic multi-hop broadcast (FPMCAST) algorithm which statistically disseminates data accordingly to the remaining energy rate, the replication density rate of sending node, and the distance rate between sending and receiving nodes. In proposed FPMCAST, the inference engine is based the fuzzy rule base which is consists of 27 if-then rules. It maps input and output parameters to membership functions of input and output. The output of fuzzy system defines the fuzzy sets for rebroadcasting probability, and defuzzification is used to extract a numeric result from the fuzzy set. Here Center of Gravity (COG) method is used to defuzzify the fuzzy set. Then, the performance of FPMCAST is evaluated through a simulation study. From the simulation, we demonstrate that the proposed FPMCAST algorithm significantly outperforms flooding and gossiping algorithms. Specially, the FPMCAST algorithm has longer network lifetime because the residual energy of each node consumes evenly.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.2
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• pp.133-138
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• 2011

In IP-based wireless sensor networks (WSNs), it might be necessary to distribute application updates to the sensor nodes in order to fix bugs or add new functionality. However, physical access to nodes is in many cases extremely limited following deployment. Therefore, network reprogramming protocols have recently emerged as a way to distribute application updates without requiring physical access to sensor nodes. In order to solve the network reprogramming problem over the air interface, this thesis presents a new scheme for new update code propagation using fragmentation scheme and network coding. The proposed code propagation method roughly shows reduced performance improvement in terms of the number of data exchange compared with the previously proposed pipelining scheme. Further, It is shows enhanced reliability for update code propagation and reduced overhead in terms of the number of data exchange. As a result, we can efficiently perform the software update from the viewpoint of speed, energy, and network congestion when the proposed code propagation system is applied. In addition, the proposed system solves overhearing problems of network coding such as the loss of original messages and decoding error using the predefined message. Therefore, our system allows a software update system to exchange reliable data in wireless sensor networks.

• Applied Microscopy
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• v.50
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• pp.2.1-2.7
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• 2020

Electron energy loss spectroscopy (EELS) is an analytical technique that can provide the structural, physical and chemical information of materials. The EELS spectra can be obtained by combining with TEM at sub-nanometer spatial resolution. However, EELS spectral information can't be obtained easily because in order to interpret EELS spectra, we need to refer to and/or compare many reference data with each other. And in addition to that, we should consider the different experimental variables used to produce each data. Therefore, reliable and easily interpretable EELS standard reference data are needed. Our Electron Energy Loss Data Center (EELDC) has been designated as National Standard Electron Energy Loss Data Center No. 34 to develop EELS standard reference (SR) data and to play a role in dissemination and diffusion of the SR data to users. EELDC has developed and collected EEL SR data for the materials required by major industries and has a total of 82 EEL SR data. Also, we have created an online platform that provides a one-stop-place to help users interpret quickly EELS spectra and get various spectral information. In this paper, we introduce EEL SR data, the homepage of EELDC and how to use them.

• The Korean Journal of Applied Statistics
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• v.32 no.1
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• pp.83-97
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• 2019

As society develops, the dissemination of microdata has increased to respond to diverse analytical needs of users. Analysis of microdata for policy making, academic purposes, etc. is highly desirable in terms of value creation. However, the provision of microdata, whose usefulness is guaranteed, has a risk of exposure of personal information. Several methods have been considered to ensure the protection of personal information while ensuring the usefulness of the data. One of these methods has been studied to generate and utilize synthetic data. This paper aims to understand the synthetic data by exploring methodologies and precautions related to synthetic data. To this end, we first explain muptiple imputation, Bayesian predictive model, and Bayesian bootstrap, which are basic foundations for synthetic data. And then, we link these concepts to the construction of fully/partially synthetic data. To understand the creation of synthetic data, we review a real longitudinal synthetic data example which is based on sequential regression multivariate imputation.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.6 no.3
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• pp.9-13
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• 2007

In this paper, we propose a system that can be used to provide the national standard time for the general public with ease by using the self-implemented independent time-code generator for transmitting standard time information through both the wired and the wireless networks. The newly proposed time code is different from conventional methods in the point that it has a structural advantage of having an ability of obtaining reliable data by repeatedly transmitting the same information. We observe that it is sufficiently possible to transmit the time information with a microsecond level because measurement result shows that the system uncertainty is about few nanosecond of time-error fluctuation through the self characteristic measurement of total system including the time-code generator and decoder system receiving time-information.

• Proceedings of the Korea Database Society Conference
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• 1994.09a
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• pp.9-16
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• 1994

Author outlines briefly developments of policies relating to telecommunication infrastructure and databases since latter half of 1970′s. There exist three phases. The first phase was from later 1970′s to 1985, which was an initial stage of electronic information service in Japan. In the second phase, 1985～1990, basic policy change made possible the privatization of telecommunication services and proliferation of database products and vendors, The third phase began in early 1990′s with downsizing in computer usage, wide-spreading information networks and rapid dissemination of personal computers. Then author describes offers on policy formation for "novel information infrastructure" and current situation concerning the "Internet" in Japan. Finally, tasks and problems for implementing new generation program for information infrastructure and database usage are pointed out, These are knowledge resource, cost, copyrights and cultural problems including language.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.13-15
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• 2004

현재의 무선 센서네트워크는 다중 목적지 그룹에 동일한 interest를 전파함에 있어서 목적지 그룹별로 개별적인 interest 전송 경로를 사용한다. 이러한 데이터 전송기법은 동일한 정보를 여러 번에 걸쳐 전송함으로써 네트워크에 불필요한 트래픽을 증가시키고, 에너지 자원이 빈약한 센서네트워크의 네트워크 생명을 감소시키는 원인이 된다. 범용 센서네트워크에서 동일한 interest를 네트워크상의 다중 목적지에 전송하는 경우 공유경로의 사용을 통하여 네트워크 트래픽을 감소시킬 수 있다. 따라서 본 논문에서는 센서노드의 위치 정보를 기반으로 싱크노드로부터 복수개의 목적지 그룹까지 데이터를 전송함에 있어서 공유경로를 사용하여 데이터의 전송 경로를 최적화하는 기법을 제안한다. 제안 방우의 성능번상은 시걸친이해에 의해 불증하필으요, 에러 경로 최대 30%까지 감소하필다.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.532-533
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• 2009

The national wind map of South Korea has been established as a core data to support national strategy building and promotion of wind energy dissemination. The national wind map has been made by numerical wind simulation with the spatial resolution of 1 km horizontal, 10m vertical and temporal resolution of 1 hour interval for 5 years period (2003-2007). Therefore, an application system linked with the national wind map named KIER-WindMap$^{TM}$ is being developed to be used by the government, local government, developers and researchers. We introduce the current status of the application system and the future development plans.