• The Journal of Korean Medicine
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• v.32 no.4
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• pp.75-82
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• 2011

Objectives: This case report aimed to evaluate whether oriental medical treatment was effective on ADHD through a records review of a local oriental medical clinic. Methods: We reviewed clinical charts of a local oriental medical clinic between December 2007 and September 2010 to select ADHD patients. Among those patients, for comparison before and after treatment, we selected cases which had at least twice Stroop test results and 2 months of treatment. Baseline, 3-month and 6-month Stroop test results were compared. Oriental medical treatment consisted of 2 months' herbal medicine, periodic acupuncture and exercise. Results: 1. 3-month data showed that subjects were 12 and improved word score and word-color score of Stroop test. 2. 6-month data showed that subjects were 20 and improved word score, color score, and word-color score of Stroop test. Conclusions: 1. Relatively short term herbal medication and exercise are effective on the word score and word-color score of the Stroop test. 2. After short term herbal medication, continuous exercise maintained the effects of short term oriental medical treatment. 3. We need to consider the balance of left and right as an important point of exercise, but further study is needed.

• The Journal of Internal Korean Medicine
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• v.38 no.5
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• pp.681-688
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• 2017

An obese patient was treated with Korean medicine for a short-term period of seven days while under admission care. In this case report, we report the efficacy of a complex treatment comprising various Korean medicine methods by evaluating the differences in obesity-linked factors. The patient lost weight loss and showed decreases in fat mass and various indexes of obesity. Korean medicine could therefore represent a prompt and effective treatment for obese patients.

• Fashion & Textile Research Journal
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• v.10 no.6
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• pp.873-881
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• 2008

The purpose of this study is to examine the effects of sales person's perception of ethical management on job performance in department stores. Sales person's perception of ethical management consists of such things as fairness, looking for short-term profits and observing the rules. Job performance consists of such things as sales person's organizational commitment, Sales person's service delivery level, rational operations, and participational attitude. For these purposes, the author developed several hypotheses. The data was collected from 435 sales person's in department stores. The results of this study are as follows: First, fairness, looking for short-term profits, and observing the rules had a significantly positive effect on sales person's organizational commitment. Second, fairness and observing the rules had significantly positive effect on sales person's service delivery level. Third, fairness had a significantly positive effect on rational operation. Fifth, looking for short-term profits and observing the rules had significantly positive effect on participational attitude. At the end of this paper, limitations, further research directions, and implications are suggested.

• Journal of Korean Society on Water Environment
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• v.29 no.1
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• pp.19-28
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• 2013

Artificial neural networks were used for time series modelling of algal dynamics of whole year and by season at the Paldang dam station (confluence area). The modelling was based on comprehensive weekly water quality data from 1997 to 2004 at the Paldang dam station. The results of validation of seasonal models showed that the timing and magnitude of the observed chlorophyll a concentration was predicted better, compared with the ANN model for whole year. Internal weightings of the inputs in trained neural networks were obtained by sensitivity analysis for identification of the primary driving mechanisms in the system dynamics. pH, COD, TP determined most the dynamics of chlorophyll a, although these inputs were not the real driving variable for algal growth. Short-term prediction models that perform one or two weeks ahead predictions of chlorophyll a concentration were designed for the application of Harmful Algal Alert System in Lake Paldang. Short-term-ahead ANN models showed the possibilities of application of Harmful Algal Alert System after increasing ANN model's performance.

• Journal of Information Technology Services
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• v.16 no.4
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• pp.149-160
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• 2017

Sentiment analysis is the process of determining whether a piece of document, text or conversation is positive, negative, neural or other emotion. Sentiment analysis has been applied for several real-world applications, such as chatbot. In the last five years, the practical use of the chatbot has been prevailing in many field of industry. In the chatbot applications, to recognize the user emotion, sentiment analysis must be performed in advance in order to understand the intent of speakers. The specific emotion is more than describing positive or negative sentences. In light of this context, we propose deep learning models for conducting multi-class sentiment analysis for identifying speaker's emotion which is categorized to be joy, fear, guilt, sad, shame, disgust, and anger. Thus, we develop convolutional neural network (CNN), long short term memory (LSTM), and multi-layer neural network models, as deep neural networks models, for detecting emotion in a sentence. In addition, word embedding process was also applied in our research. In our experiments, we have found that long short term memory (LSTM) model performs best compared to convolutional neural networks and multi-layer neural networks. Moreover, we also show the practical applicability of the deep learning models to the sentiment analysis for chatbot.

• Fisheries and Aquatic Sciences
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• v.9 no.1
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• pp.38-43
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• 2006

We developed and evaluated a method of short-term acute toxicity testing based on the feeding behavior of Ceriodaphnia dubia. In prior toxicity tests, neonates of C. dubia were hatched and cultivated with the addition of yeast only for the preparation of the transparent daphnid's gut. Scenedesmus subspicatus was supplied as food after 1 to 6 h of exposure to toxicants. The effects of 1-h and 6-h exposure time on test sensitivity did not significantly differ. A comparison of the short-term l-h acute toxicity test developed in this study to the standard 48-h acute toxicity test using heavy metals, cyanide, and pentachlorophenol indicated that the 1-h test provided an acceptable sensitivity level in toxicity testing of C. dubia..

• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1237-1242
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• 2010

Based on the detailed travel history of cases from 2006 to 2008 who reside in non-malarious areas, statistical estimates of the incubation periods were obtained. The data suggest that cases fall into two categories with short- and long-term incubation periods, respectively. 72 and 25 cases successfully met our criteria for inferring the durations of short- and long-term incubation periods. The mean short- and long-term incubation periods were estimated to be 25.42 days and 328.6 days weeks, respectively.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.8
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• pp.1137-1144
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• 2015

Accurate and robust load forecasting model is very important in power system operation. In case of short-term electric load forecasting, its result is offered as an standard to decide a price of electricity and also can be used shaving peak. For this reason, various models have been developed to improve forecasting accuracy. In order to achieve accurate forecasting result for summer season, this paper proposes a forecasting model using corrected effective temperature based on Heat Index and CDH data as inputs. To do so, we establish polynomial that expressing relationship among CDH, load, temperature. After that, we estimate parameters that is multiplied to each of the terms using PSO algorithm. The forecasting results are compared to Holt-Winters and Artificial Neural Network. Proposing method shows more accurate by 1.018%, 0.269%, 0.132% than comparison groups, respectively.

• Computers and Concrete
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• v.13 no.6
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• pp.799-827
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• 2014

In this paper, a theoretical and experimental study of the sectional behaviour of reinforced concrete beams subjected to short-term loads is carried out. The pure bending behaviour is analysed with moment-curvature diagrams. Thus, the experimental results obtained from 24 beams tested by the authors and reported in literature are compared with theoretical results obtained from a layered model, which combines the material parameters defined in Model Code 2010 with some of the most recognized tensions-tiffening models. Although the tests were carried out for short-term loads, the analysis demonstrates that rheological effects can be important and must be accounted to understand the experimental results. Another important conclusion for the beams tested in this work is that the method proposed by EC-2 tends to underestimate the tension-stiffening effects, leading to inaccuracies in the estimations of deflections. Thus, the actual formulation is analysed and a simple modification is proposed. The idea is the separation of the deflection prediction in two parts: one for short-term loads and other for rheological effects (shrinkage). The results obtained are in fairly good agreement with the experimental results, showing the feasibility of the proposed modification.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.1
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• pp.8-14
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• 1999

This paper presents the methods of short-term load forecasting Kohonen neural networks and back-propagation neural networks. First, historical load data is divided into 5 patterns for the each seasonal data using Kohonen neural networks and using these results, load forecasting neural network is used for next day hourly load forecasting. Next day hourly load of weekdays and weekend except holidays are forecasted. For load forecasting in summer, max-temperature and min-temperature data as well as historical hourly load date are used as inputs of load forecasting neural networks for a better forecasting accuracy. To show the possibility of the proposed method, it was tested with hourly load data of Korea Electric Power Corporation(1994-95).