• KIISE Transactions on Computing Practices
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• v.20 no.11
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• pp.579-585
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• 2014

A phoneme is the minimal unit of speech, and it plays a very important role in speech recognition. This paper proposes a novel method that can be used to recognize 'ㅅ', 'ㅈ', and 'ㅊ' among Korean phonemes. The proposed method is based on a volatility indicator and a turning point indicator that are calculated for each constituting block of the input speech signal. The volatility indicator is the sum of the differences between the values of each two samples adjacent in a block, and the turning point indicator is the number of extremal points at which the direction of the increment or decrement of the values of the sample are inverted in a block. A phoneme recognition algorithm combines the two indicators to finally determine the positions at which the three target phonemes mentioned above are recognized by utilizing optimized thresholds related with those indicators. The experimental results show that the proposed method can markedly reduce the error rate of the existing methods both in terms of the false reject rate and the false accept rate.

• The Korean Journal of Applied Statistics
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• v.29 no.1
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• pp.243-255
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• 2016

The developed composite index has limits to estimate and predict economic status due to economic pattern change and the response change of explanatory variables. A higher precedence individual indicators should be selected to predict the future accurately. In this study, effectiveness of Jeju Island precedence indicators consists of constituents in the area, the consumer price index, services production index, mining and manufacturing production index. The average temperature of Seogwipo and credit card purchase amount is reviewed as an economic turning point consideration and time lag correlation analysis with real data. In addition, we suggest the proper reference cycle in Jeju composite precedence index and evaluate the configuration in leading indicators for Jeju by comparing national economic indicators. Based on the derived results, the current problems of Jeju Island precedence indicators will be illustrated and the improvement methods to estimate a regional composite index will be suggested.

• KOMUNHWA
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• no.62
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• pp.3-28
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• 2003

The researches related to rice farming are still mainstream, although cultivation research has a new transition due to investigation of arable land since 1990s. The latter of 1990s, the interest of fields was increased after the large scale investigation

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.42-42
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• 2021

한강 자연성 회복은 사회환경을 고려한 한강의 생태적 기능회복과 복원, 자연의 복원력을 기반으로 한 사람이 공생 공존하는 새로운 관계로의 전환점을 의미하고 있다. 본 연구에서는 한강 유역권 산·학·연 관계자 100명을 대상으로 설문조사를 실시하여 한강 자연성 회복 비전과 추진전략을 도출한 결과, '맑은 물이 흐르는 강'(1순위), '더불어 사는 강'(2순위), '생명이 숨쉬는 강'(3순위), '살아 움직이는 강'(4순위)으로 정책방향을 수립할 수 있었다. 또한 설문조사의 결과를 바탕으로 AHP 및 델파이 분석을 통해 한강 상류, 중류(서울권, 경기권), 하류별 자연성 회복 평가지표간 가중치를 산정하여 주요 추진과제를 선정하였다. 상류유역에서는 비점오염원 관리를 통한 환경오염 감소, 중류 유역에서는 도심하천의 수질관리강화 및 물 순환 체계 개선, 하류 유역에서는 생물다양성 확보 및 상·하류 지역 협력을 통한 상수원 수질 개선의 방안 필요의 결과가 도출되었다. 본 연구를 통하여 한강의 하천관리정책은 이수·치수 중심의 하천조성에서 하천생태복원 및 강과 사람과의 공존과 공생이 조화를 이룬 하천조성으로 관점이 변화되었음을 확인할 수 있었으며, 가중치 평가를 통한 최적 조합의 하천 관리방안이 도출되었다.

• Information and Communications Magazine
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• v.28 no.1
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• pp.22-28
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• 2010

외환위기 이후 IT는 우리 경제의 견인차로 인식되어 왔으나 2000년대 초두의 IT 버블 붕괴 이후 극심한 성장정체를 겪으면서 일부 학자 및 정책입안자를 중심으로 IT 역할에 대한 회의론적 시각이 제기되어 왔다. 그러나, 지난 2~3년간의 각종 경제지표를 볼 때, IT는 여전히 우리 경제에서 중요한 역할을 하고 있음을 확인할 수 있을 뿐만 아니라 미래사회에의 대응을 위해서도 IT에 대한 관심 제고가 무엇보다도 절실한 시점이라 하겠다. 특히, 스마트폰의 등장에 따라 스마트폰 환경에 최적화된 다양한 애플리케이션의 등장과 이를 이용한 모바일 서비스의 보급 확산으로 IT 기기 및 서비스 산업의 경쟁구조에 근본적인 변화가 발생하면서 IT 강국이라는 국가적 브랜드마저 위협받고 있는 시점이어서 더욱 그렇다. 스마트폰의 등장으로 국가경쟁력 결정 패턴이 노동과 자본 등 전통적인 생산요소에 기반한 개별 산업분야의 경쟁우위를 기초로 결정되던 형태에서 감성과 창의성 등 소프트 파워의 보유 정도에 따라 결정되는 형태로 전환되었다는 점에서 R&D전략에 있어서도 중요한 전환점을 맞고 있다고 보여진다. 또한, 산업사회와 정보사회에 이어 급격한 기술혁신에 따른 기술간 및 산업간 융합의 정도가 산업 전반의 경쟁구도에 영향을 미칠 것으로 대부분의 전문가들이 예견하고 있으나, 산업현장이나 기술분야에서 실제적으로 발생되는 융합의 양상은 그다지 신속하지 못한 것으로 나타나고 있다. 따라서, 기술간 및 산업간 융합촉진을 통한 전산업 경쟁력 제고를 위한 R&D 방향 모색이 필요한 시점이다. 이에 따라 본고에서는 스마트폰의 등장에 따른 IT산업의 경쟁구도 변화와 글로벌 기업들의 전략, 대응방향 등을 살펴보는 한편 IT의 전반적인 활용도 증가에 따라 더욱 가속화될 것으로 전망되는 기술간 및 산업간 융합시대에 대응한 IT R&D 방향을 살펴본다. 이는 궁극적으로 IT 강국이라는 국가적 브랜드 이미지의 고착화 전략인 동시에 IT 기반의 융합을 촉진시킴으로써 스마트한 IT Korea라는 국가적 미래비전을 달성해 나가기 위한 방향이 될 것이다.

• Science of Emotion and Sensibility
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• v.21 no.2
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• pp.15-28
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• 2018

The purpose of this study was to conduct eye-tracking experiments to target large spaces and to analyze the characteristics of pupil gaze by gender. By analyzing the change of pupil size in the eye-tracking experiment, we suggest a template for objective and scientific analyses of gender observation data. Additionally, based on the difference between gender and time to pupil size change, we noted the characteristic of time that gather the visual perception data information and showed that females attend to interesting elements of visual information one to two seconds slower than males. In the initial "$1sec{\rightarrow}2sec$", the pupil size has been increased in leap condition of male and in fixed condition of female. In addition, if condition limits to fixed observation to view the change rates on gender then the pupil size of female was larger than male before 9 seconds, while male's pupil size was larger after 9 seconds. This indicates that females obtain visual information through a relatively larger pupil size during the first 1-8 seconds after stimulus presentation, while males acquire it between 10-15 seconds after input. However, based on the result that the pupil size of female was larger than male on the change of observation time, the pupil size movement on female was energized to watch more interest element after a certain period of time.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.63-83
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• 2019

Investors prefer to look for trading points based on the graph shown in the chart rather than complex analysis, such as corporate intrinsic value analysis and technical auxiliary index analysis. However, the pattern analysis technique is difficult and computerized less than the needs of users. In recent years, there have been many cases of studying stock price patterns using various machine learning techniques including neural networks in the field of artificial intelligence(AI). In particular, the development of IT technology has made it easier to analyze a huge number of chart data to find patterns that can predict stock prices. Although short-term forecasting power of prices has increased in terms of performance so far, long-term forecasting power is limited and is used in short-term trading rather than long-term investment. Other studies have focused on mechanically and accurately identifying patterns that were not recognized by past technology, but it can be vulnerable in practical areas because it is a separate matter whether the patterns found are suitable for trading. When they find a meaningful pattern, they find a point that matches the pattern. They then measure their performance after n days, assuming that they have bought at that point in time. Since this approach is to calculate virtual revenues, there can be many disparities with reality. The existing research method tries to find a pattern with stock price prediction power, but this study proposes to define the patterns first and to trade when the pattern with high success probability appears. The M & W wave pattern published by Merrill(1980) is simple because we can distinguish it by five turning points. Despite the report that some patterns have price predictability, there were no performance reports used in the actual market. The simplicity of a pattern consisting of five turning points has the advantage of reducing the cost of increasing pattern recognition accuracy. In this study, 16 patterns of up conversion and 16 patterns of down conversion are reclassified into ten groups so that they can be easily implemented by the system. Only one pattern with high success rate per group is selected for trading. Patterns that had a high probability of success in the past are likely to succeed in the future. So we trade when such a pattern occurs. It is a real situation because it is measured assuming that both the buy and sell have been executed. We tested three ways to calculate the turning point. The first method, the minimum change rate zig-zag method, removes price movements below a certain percentage and calculates the vertex. In the second method, high-low line zig-zag, the high price that meets the n-day high price line is calculated at the peak price, and the low price that meets the n-day low price line is calculated at the valley price. In the third method, the swing wave method, the high price in the center higher than n high prices on the left and right is calculated as the peak price. If the central low price is lower than the n low price on the left and right, it is calculated as valley price. The swing wave method was superior to the other methods in the test results. It is interpreted that the transaction after checking the completion of the pattern is more effective than the transaction in the unfinished state of the pattern. Genetic algorithms(GA) were the most suitable solution, although it was virtually impossible to find patterns with high success rates because the number of cases was too large in this simulation. We also performed the simulation using the Walk-forward Analysis(WFA) method, which tests the test section and the application section separately. So we were able to respond appropriately to market changes. In this study, we optimize the stock portfolio because there is a risk of over-optimized if we implement the variable optimality for each individual stock. Therefore, we selected the number of constituent stocks as 20 to increase the effect of diversified investment while avoiding optimization. We tested the KOSPI market by dividing it into six categories. In the results, the portfolio of small cap stock was the most successful and the high vol stock portfolio was the second best. This shows that patterns need to have some price volatility in order for patterns to be shaped, but volatility is not the best.