• The Journal of the Society of Korean Medicine Diagnostics
• /
• v.19 no.2
• /
• pp.91-100
• /
• 2015

Objectives The aim of this study is to develop a structured clinical protocol related with acquisition of radial pulse wave in the randomized, $2{\times}2$ cross-over design, and cold-heat intervention trial for a pilot and preliminary study. Methods The protocol was contrived based on wide ranging literature searches for cold-heat intervention experiments and radial pulse diagnoses. Results Sample size of 60 subjects was calculated based on an effect size derived from the previous study designed to detect the pre-post cold-heat differences in the radial pulse. Each subjects will be randomly assigned to the cold (first) to heat (last) group (n=30) or heat (first) to cold (last) group (n=30). All subjects will fill out a case report form and questionnaires related with pattern identification, dietary patterns, sleep quality, and physical activity will be surveyed and used as a secondary outcomes. Safety assessment will be reported at the final stage. Conclusions This protocol will provide an additional reference to future studies related with observation of radial pulse during any interventions and also expect to be used as a guideline for acquisition of reliable radial pulse wave data.

• Journal of Korea Game Society
• /
• v.15 no.5
• /
• pp.109-118
• /
• 2015

The game of Go originated from ancient China is regarded as one of the most difficult challenges in the filed of AI. Over the past few years, the top computer Go programs based on MCTS have surprisingly beaten professional players with handicap. MCTS is an approach that simulates a random sequence of legal moves until the game is ended, and replaced the traditional knowledge-based approach. We applied the UCT algorithm which is a MCTS variant to the game of Tic-Tac-Toe for finding the best first move, and compared it with the result generated by a pure MCTS. Furthermore, we introduced and compared the performances of epsilon-Greedy algorithm and UCB algorithm for solving the Multi-Armed Bandit problem to understand the UCB.

• Information Systems Review
• /
• v.8 no.3
• /
• pp.175-200
• /
• 2006

Application service provider(ASP) model is emerging as a new form of application outsourcing. ASP model may be attractive for small companies and even some medium-sized companies because these companies lack appropriate resources and technical expertise to develop and operate their information system. However, studies of ASP model have so far been neglected. Service quality is argued to be a crucial success factor for ASP, but yet there is not an empirically validated instrument for measuring ASP service quality. Therefore, this paper aims to develop and test a model for measuring ASP service quality. In order to accomplish these, SERVQUAL that has developed in marketing area were adapted to the context of this study. The research sample was designed by randomly selecting 300 different companies from the database that listed up the small companies participating in "ASP based e-business project for small enterprises". 240 usable responses were received by interview. The results are that reliability and tangibility impact user performances and satisfaction more than any of the service quality dimensions.

• Journal of the Korea Computer Graphics Society
• /
• v.20 no.2
• /
• pp.25-32
• /
• 2014

We present an example-based approach to synthesizing physically simulated Rube Goldberg machines in which a series of rigid body elements are sequentially triggered and driven along the causal chain. Given a set of elements, our goal is to automatically instantiate and arrange those elements to meet the user-specified requirements including the start and end positions, and the boundary of movement. To do so, we first sample small-scale machines consisting of only a few elements randomly, and represent the connectivity between every pair of components as a graph structure. Searching over possible paths in this graph solves our problem by finding a path that can be unrolled to satisfy the given requirements, and then assembling components sequentially along the solution path. In order to ensure that the machine works precisely in a physically simulated environment, we finally elaborate the layout of assembled components by a simple greedy algorithm. We demonstrate the usefulness of our approach by displaying a large diversity of Rube Goldberg machines built with only five kinds of elements.

• Journal of IKEEE
• /
• v.22 no.3
• /
• pp.658-663
• /
• 2018

In this paper, we consider node deployment algorithms for the sequence-based localization (SBL) which is recently employed for in-door positioning systems, Whereas previous node selection or deployment algorithms seek to place nodes at centrold of the region where more targets are likely to be found, we observe that the boundaries dividing such regions can be good locations for the nodes in SBL systems. Motivated by this observation, we propose an efficient node deployment algorithm that determines the boundaries by using the well-known K-means algorithm and find the potential node locations based on the bi-section method for low-complexity design. We demonstrate through experiments that the proposed algorithm achieves significant localization performance over random node allocation with a substantially reduced complexity as compared with a full search.

• The Journal of the Korea Contents Association
• /
• v.19 no.12
• /
• pp.471-482
• /
• 2019

The purpose of this study was to analyze the effect on the level of subject interest and interaction when supporting scaffolding considering learner characteristics in PBL. For the study, the participants were 86 college students. The research procedure was as follows. First, we divided the experimental group and the comparative group. A primary PBL was used to measure prior levels of subject interest and interaction. Secondary PBL was performed to verify treatment effect. In the second PBL, the experimental group received cognitive, metacognitive, and motivation scaffolding that reflected the learner's characteristics. The control group received random scaffolding. Subject interest and interaction were measured after the end of the second PBL. Collected data were analyzed using ANCOVA. As a result, the interest and interaction level of the experimental group was analyzed to be higher than that of the control group.

• Korean Journal of Environmental Biology
• /
• v.22 no.3
• /
• pp.472-477
• /
• 2004

To study the radiation related gene expression in mutants of Bacillus lentimorbus WJ5 induced by gamm radiation, the simultaneous gene expression was analyzed by DNA micro array. We constructed DNA chips including two thousand randomly digested genome spots of B. lentimorbus WJ5 and compared its quantitative aspect with seven mutants induced by gamma radiation $(^{60}/Co)$. From the cluster analysis of gene expression pattern, totally 408 genes were expressed and 27 genes were significantly upregulated by the gamma radiation in all mutants. Especially, genes involved in repair (mutL, mutM), energy metabolism (acsA, sdhB, pgk, yhjB, citB), protease (npr), and reduction response to oxidative stress (HMM) were simultaneously upregulated. It seems that the induction of the direct and/or indirect repair related genes in mutants induced by gamma radiation could be remarkably different from the adaptive responses against acute exposure to radiation.

• Smart Media Journal
• /
• v.10 no.2
• /
• pp.70-75
• /
• 2021

Grouping and classifying similar designs in design increase efficiency in terms of management and provide convenience in terms of use. Using artificial intelligence algorithms, this study attempted to classify textile designs into four categories: dots, flower patterns, stripes, and geometry. In particular, we explored whether it is possible to find and explain the regions of interest underlying classification from the perspective of artificial intelligence. We randomly extracted a total of 4,536 designs at a ratio of 8:2, comprising 3,629 for training and 907 for testing. The models used in the classification were VGG-16 and ResNet-34, both of which showed excellent classification performance with precision on flower pattern designs of 0.79%, 0.89% and recall of 0.95% and 0.38%. Analysis using the Local Interpretable Model-agnostic Explanation (LIME) technique has shown that geometry and flower-patterned designs derived shapes and petals from the region of interest on which classification was based.

• The Journal of the Korea Contents Association
• /
• v.19 no.4
• /
• pp.187-196
• /
• 2019

This experimental study examines whether paralinguistic behavior is a deception cue in an interrogation. 92 college students participated in an experiment and were randomly assigned to two conditions. Participant were then asked to take the money or not to take the money according to the condition they were assigned. Then participants had a face-to-face interrogation. During the interrogation, participants' paralinguistic behavior was recorded and used for coding and analysis. Results reveal that participants' paralinguistic behaviors differ depending on question types and deceptive paralinguistic cues are speech speed and fillers for the closed critical question and response latency, response length, and fillers for the open critical question. These findings implicate that part of paralinguistic behavior could be a deception cue and thus these cues might be applicable to deception detection in real world criminal investigations.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.15 no.5
• /
• pp.299-307
• /
• 2022

Harmony Search (HS) is a relatively recently developed meta-heuristic optimization algorithm, and various studies have been conducted on it. HS is based on the musician's improvisational performance, and the objective variables play the role of the instrument. However, each instrument is given only a sound range, and there is no concept of a scale that can be said to be the basis of music. In this study, the performance of the algorithm is improved by introducing a scale to the existing HS and quantizing the bandwidth. The introduced scale was applied to HM initialization instead of the existing method that was randomly initialized in the sound band. The quantization step can be set arbitrarily, and through this, a relatively large bandwidth is used at the beginning of the algorithm to improve the exploration of the algorithm, and a small bandwidth is used to improve the exploitation in the second half. Through the introduction of scale and bandwidth quantization, it was possible to reduce the algorithm performance deviation due to the initial value and improve the algorithm convergence speed and success rate compared to the existing HS. The results of this study were confirmed by comparing examples of optimization values for various functions with the conventional method. Specific comparative values were described in the simulation.