• Journal of Korean Public Health Nursing
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• v.36 no.2
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• pp.240-252
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• 2022

Purpose: The purpose of this study was to draw practical implications applicable to the field by analyzing a double-mediator model of social participation and depression in relation to the utilization of Information Communication Technology (ICT) and cognitive function. Methods: The data from the Fifth Living Profiles of Older People Survey in Korea was used, and the sample included 3,925 people, 75 years of age or older. Descriptive statistics, correlation analysis, and the PROCESS macro test were used for verification of the double mediator model. Results: The results were as follows: First, ICT utilization was rated at an average of 1.4 out of 10, social participation at an average of 1.1 out of 7, depression at an average of 3.72 out of 15, and cognitive function at an average of 22.42 out of 30. Second, ICT utilization has a significant effect on cognitive function. Third, the mediating effects of social participation between ICT utilization and cognitive function were significant. Fourth, the mediating effects of depression between ICT utilization and cognitive function were not significant. Fifth, the serial double mediator effects leading to ICT utilization, social participation, depression, and cognitive function were significant. Conclusion: The study discussed the implications of maintaining and protecting cognitive function in the vulnerable elderly through the utilization of ICT.

• Journal of The Korean Society of Integrative Medicine
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• v.4 no.2
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• pp.77-88
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• 2016

Purpose : The purpose of this study was to explore an effect exerted to non-affected hand and affected hand of patients by performing training of chopsticks and grasp strength that are helpful to dexterity and grasp strength of hand together with training method of joint exercise, muscle strength build-up training, delicate hand function training. Method : By targeting 30 normal adult male/females engaged in K university, Busan for one month on April, 2015, 10 persons of hand function build-up training group, that of dexterity training group and 10 persons of control group were randomly selected. For hand function build-up training group, chopsticks training in parallel with total 20 times of grasp strength training for 4 weeks including 5 minutes of dominant hand grasp strength training, 5 minutes of non-dominant hand grasp strength training, 15 minutes of chopsticks training was performed based on 25 minutes/one time, 5 times a week. Result : First, In a comparison of dexterity of both hands by each group depending on training period, hand function build-up group and dexterity training group were represented to be effective compared with control group. Secondly, In a comparison of manipulatory ability of both hands by each group depending on training period, hand function build-up group and dexterity training group were represented to be effective compared with control group. Conclusion : It is considered that diversified and broad research covering patients with musculoskeletal disease and nervous system-related disease would be performed by securing far more test subjects after comparing a correlation between dexterity training and hand function training.

• Proceedings of the IEEK Conference
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• 2000.11a
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• pp.217-220
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• 2000

This paper studies a real-time VBR traffic characterization. There are two big approaches to determine traffic. One is a statistic approach and the other is a deterministic approach. This paper proposes a new constraint function, what we called “Sub-Sum Constraint Function”(SSCF). This function is mainly based on a deterministic approach and uses a statistic approach. It predicts and calculates the next rate with a present information about the stream. SSCF captures the intuitive bounded by a rate lower than its peak rate and closer to its long-term average rate. This model makes a order of the constraint function much less than any other works (O(n)). It can also be mapped on a token bucket algorithm which consists of r (token rate) and b (token depth). We use a concept, EB(effective bandwidth) for a utility of our function and comparing with other techniques such as CBR, average VBR. We simulated 21 multimedia sources for verifying the utility of our function.

• The Journal of Information Systems
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• v.17 no.2
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• pp.27-47
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• 2008

The base of an internet shopping mall is web application system. However, this mall is a market place where selling and buying of products and services take place. Therefore, it should be considered both a commerce function and a web site design function. The commerce function and the web site design function are considered as variables that influence trust and familiarity. This trust and familiarity are considered as the main factors that influence satisfaction of shoppers of internet shopping malls. Analysis indicates that the web site design function significantly influences both trust and familiarity, but the commerce function significantly influence only familiarity negatively. Also trust and familiarity significantly influence user satisfaction.

• The Korean Journal of Applied Statistics
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• v.20 no.2
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• pp.333-343
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• 2007

The auxiliary renewal function has an important role in analyzng queues in which the either of the inter-arrival time and the service time of customers is not exponential. As like the renewal function, the auxiliary renewal function is hard to compute although it can be defined theoretically. In this paper, we suggest two approximations for auxiliary renewal function and compare the two with the true value of auxiliary renewal function which can be computed in some special cases.

• Journal of information and communication convergence engineering
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• v.3 no.3
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• pp.123-130
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• 2005

This study performed five methods of tests and measurements to verify the improvement of connection time and bandwidth efficient of FSS (fixed satellite service) TCP/IP network by means of the cash function and the spoofing function. Tests and measurements are performed with; 1. Not to apply the cash and spoofing function 2. Apply the cash function 4. Apply both cash and spoofing function in HUB station and VSAT 5. In a typical commercial terrestrial Internet with LAN. The study results in this paper show that application of the spoofing and cash function greatly improves the bandwidth efficiency to FSS TCP/IP Internet service.

• Communications for Statistical Applications and Methods
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• v.15 no.4
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• pp.509-516
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• 2008

We derive the influence function on the coefficient of variation. Empirical influence function and Sample influence function are used to verify the validity of the derived influence function. To show the validity of the influence function, we carry out simulations with random samples from normal distribution $N(20,1^2)$ and $N(20,5^2)$, respectively. The simulation result proves that the derived influence function is very accurate in estimating changes in the coefficient of variation when an observation is deleted.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1537-1545
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• 2015

Support vector quantile regression (SVQR) can be obtained by applying support vector machine with a check function instead of an e-insensitive loss function into the quantile regression, which still requires to solve a quadratic program (QP) problem which is time and memory expensive. In this paper we propose an SVQR whose objective function is composed of an asymmetric quadratic loss function. The proposed method overcomes the weak point of the SVQR with the check function. We use the iterative procedure to solve the objective problem. Furthermore, we introduce the generalized cross validation function to select the hyper-parameters which affect the performance of SVQR. Experimental results are then presented, which illustrate the performance of proposed SVQR.

• Journal of the Korea Society of Computer and Information
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• v.11 no.3
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• pp.107-115
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• 2006

This paper presents a new class of activation functions for Cascade Correlation learning algorithm, which herein will be called CosGauss function. This function is a cosine modulated gaussian function. In contrast to the sigmoidal, hyperbolic tangent and gaussian functions, more ridges can be obtained by the CosGauss function. Because of the ridges, it is quickly convergent and improves a pattern recognition speed. Consequently it will be able to improve a learning capability. This function was tested with a Cascade Correlation Network on the two spirals problem and results are compared with those obtained with other activation functions.

• Journal of the Korea Society of Computer and Information
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• v.17 no.12
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• pp.149-158
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• 2012

Proposed is a hybrid randomizing function using two asymptotically optimal randomizing functions: Elias function and Peres function. Randomizing function is an mathematical abstraction of producing a uniform random bits from a source of randomness with bias. It is known that the output rate of Elias function and Peres function approaches to the information-theoretic upper bound. Especially, for each fixed input length, Elias function is optimal. However, its computation is relatively complicated and depends on input lengths. On the contrary, Peres function is defined by a simple recursion. So its computation is much simpler, uniform over the input lengths, and runs on a small footprint. In view of this tradeoff between computational complexity and output efficiency, we propose a hybrid randomizing function that has strengths of the two randomizing functions and analyze it.