• Journal of Convergence for Information Technology
• /
• v.10 no.4
• /
• pp.18-24
• /
• 2020

Recently, research on Society 5.0 has been actively carried out in Japan. The Society 5.0 is used in various areas using IoT sensors. This paper proposes a privacy approach model of multiple approaches to IoT users based on Society 5.0. The proposed model used multiple methods of synchronizing important information of IoT devices with one another in the virtual environment. The proposed model improved the efficiency of IoT information by accumulating the weight of IoT information on a probability-based basis. Further, it improves the accuracy of IoT information by segmenting it so that attribute information is linked to IoT information. As a result of the performance evaluation, the efficiency of IoT devices has improved by an average of 5.6 percent, depending on the number of IoT devices and the number of IoT hub devices. Accuracy has improved by an average of 15.9% depending on information collection and processing.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.46 no.6
• /
• pp.95-101
• /
• 2009

Among the adaptive noise cancellers (ANC), the least mean square (LMS) algorithm has probably become the most popular algorithm because of its robustness, good tracking properties, and simplicity of implementation. However, it has non-uniform convergence and a trade-off between the rate of convergence and excess mean square error (EMSE). To overcome these shortcomings, a number of variable step size least mean square (VSSLMS) algorithms have been researched for years. These LMS algorithms use a complex variable step method approach for rapid convergence but need high computational complexity. A variable step approach can impair the simplicity and robustness of the LMS algorithm. The proposed instantaneous gain control (IGC) algorithm uses the instantaneous gain value of the original signal and the noise signal. As a result, the IGC algorithm can reduce computational complexity and maintain better performance.

• Journal of Digital Convergence
• /
• v.13 no.9
• /
• pp.129-136
• /
• 2015

We investigate the underlying structure of big data research domain, which is diversified and complicated using bottom-up approach. For that purpose, we derive a set of articles by searching "big data" through the Korea Citation Index System provided by National Research Foundation of Korea. With some preprocessing on the author-provided keywords, we analyze bibliometric data such as author-provided keywords, publication year, author, and journal characteristics. From the analysis, we both identify major sub-domains of big data research area and discover the hidden issues which made big data complex. Major keywords identified include SOCIAL NETWORK ANALYSIS, HADOOP, MAPREDUCE, PERSONAL INFORMATION POLICY/PROTECTION/PRIVATE INFORMATION, CLOUD COMPUTING, VISUALIZATION, and DATA MINING. We finally suggest missing research themes to make big data a sustainable management innovation and convergence medium.

• Journal of Digital Convergence
• /
• v.13 no.5
• /
• pp.31-39
• /
• 2015

In the modern society, as development innovative technology consumers could access various information. It make consumers empower in the market, and information asymmetry problem were solving more and more. In the technical information, however, there are still information asymmetry because technical information is very difficult to understand, and those are related with professional knowledge such as financial information. This study used the dataset which was collected to track Korean consumers consumption index by KCA(Korea Consumer Agency) which included consumer's problem experience at financial field. The results are followings. Firstly, consumers want to get exact and important information to decide purchase or not and comparative information in technical information area. Secondly, age is the influence variable to experience more problems in technical information section. Thirdly, consumer's subjective financial competency is major influence factor to reduce problem experience.

• Journal of the Korea Convergence Society
• /
• v.9 no.12
• /
• pp.381-391
• /
• 2018

The goal of current study was to investigate the perception of emotional lighting according to the types of exercise participation of fitness center users. The subjects of this study were 292 people in Gyeongin area fitness center. As a survey tool, the color types used in the study of Oh & Kwak(2015) were used, and the color recognition was based on the emotional adjective scale used in Lee(1997). Data were analyzed using crossover, independent t-test and one-way ANOVA using SPSS23.0. The following conclusions can be drawn from the results of this study. First, emotional lighting color preference of fitness users varies according to Gender. Second, the difference of perception of color by emotional illumination of fitness users was found to be partially different in color and sex. Third, there was a difference in color recognition among emotional lighting color recognition according to exercise participation type of fitness users.

• Journal of the Korea Convergence Society
• /
• v.10 no.10
• /
• pp.275-281
• /
• 2019

This study aimed to analyse the mediating effects of learning attitudes in respect to the correlation between achievement goal orientation and learning flow. For the purpose, this study surveyed achievement goal orientation, learning flow and learning attitude of beauty specialized high school students located in Jeonnam with the use of a questionnaire. 335 copies of the answers were analysed with the use of the SPSS(PASW, ver 21.0). The results are presented as follows: Mastery approach of the achievement goal orientation and learning attitude had a significant effect on learning flow. It was discovered that learning attitude had a partial effect on the relations between mastery approach and learning flow, but it was reported that it had a complete mediating effect on the relations between performance avoidance and learning flow.

• The Journal of Korean Institute of Next Generation Computing
• /
• v.14 no.6
• /
• pp.15-29
• /
• 2018

This paper proposes an enhanced object tracking algorithm to compensate the lack of temporal information in existing particle swarm optimization based object trackers using the trajectory of the target object. The proposed scheme also enables the tracking and documentation of the location of an online updated set of distractions. Based on the trajectories information and the distraction set, a rule based approach with adaptive parameters is utilized for occlusion detection and determination of the target position. Compare to existing algorithms, the proposed approach provides more comprehensive use of available information and does not require manual adjustment of threshold values. Moreover, an effective weight adjustment function is proposed to alleviate the diversity loss and pre-mature convergence problem in particle swarm optimization. The proposed weight function ensures particles to search thoroughly in the frame before convergence to an optimum solution. In the existence of multiple objects with similar feature composition, this algorithm is tested to significantly reduce convergence to nearby distractions compared to the other existing swarm intelligence based object trackers.

• Journal of the Institute of Convergence Signal Processing
• /
• v.11 no.1
• /
• pp.32-40
• /
• 2010

In this work, the method of acquiring the pupil function of optical system is proposed. The wavefront aberration and the intensity distribution of pupil can be analysed with the pupil function. This system can be adopted to the manufacturing line of optical pickup directly and also has good performance to analysing various property of optical instrument. It is one kind of inverse problem to get pupil functions by 3D beam data. The extended Nijboer-Zernike(ENZ) approach recently proposed by Netherlands research group is adopted to accompany to solve these inverse problem. The ENZ approach is one of a aberration retrieval method for which numerous approaches are available. But this approach is new in the sense that it use the highly efficient representation of pupil functions by means of their Zernike coefficients. These coefficients are estimated by using matching procedure in the focal region the theoretical 3D intensity distribution and measured 3D intensity distribution. The algorithm that can be applied more general circumstance such as high-numerical aperture instrument is developed by modifying original ENZ approach. By these scheme, MS windows based GUI program is developed and the good performance is verified with generated 3D beam data.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.57 no.3
• /
• pp.9-19
• /
• 2015

Internal air temperature of greenhouse is an important variable that can be influenced by the complex interaction between outside weather and greenhouse inside climate. This paper focuses on a data-based model approach to predict internal air temperature of the greenhouse. External air temperature, solar radiation, wind speed and wind direction were measured next to an experimental greenhouse supported by the Electronics and Telecommunications Research Institute and used as input variables for the model. Internal air temperature was measured at the center of three sections of the greenhouse and used as an output variable. The proposed model consisted of a transfer function including the four input variables and tested the prediction accuracy according to the sampling interval of the input variables, the orders of model polynomials and the time delay variable. As a result, a second-order model was suitable to predict the internal air temperature having the predictable time of 20-30 minutes and average errors of less than ${\pm}1K$. Afterwards mechanistic interpretation was conducted based on the energy balance equation, and it was found that the resulting model was considered physically acceptable and satisfied the physical reality of the heat transfer phenomena in a greenhouse. The proposed data-based model approach is applicable to any input variables and is expected to be useful for predicting complex greenhouse microclimate involving environmental control systems.

• Convergence Security Journal
• /
• v.11 no.6
• /
• pp.67-72
• /
• 2011

A system that provides a ubiquitous service is a networked system that has to overcome their circumstances that the service survivability is weak. the survivability of a networked system is defined as an ability of the system that can offer their services without interruption, regardless of whether components comprising the system are under failures, crashes, or physical attacks. This paper presents an approach that end users can obtain a quantitative evaluation of U-service survivability to reflect intended cyber attacks causing the networked system to fall into byzantine failures in addition to the definition of the survivability. In this paper, a Jini system based on wireless local area networks is used as an example for quantitative evaluation of U-service survivability. This paper also presents an continuous time markov chain (CTMC) Model for evaluation of survivability of U-service that a Jini system provides, and an approach to evaluate the survivability of the U-service as a blocking probability that end users can not access U-services.