• Title/Summary/Keyword: 기억에 근거한 판단

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A Study on in Influence on the Memory-Based Judgement and Purchase Intention upon Temporal Distance and Prior Kowledge in Preannouncing Strategy (시간적 거리와 사전지식에 따른 프리어나운싱 전략이 기억에 근거한 판단과 구매의도에 미치는 효과)

  • Han, Kwang-Seok
    • Management & Information Systems Review
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    • v.33 no.1
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    • pp.99-118
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    • 2014
  • This study is a product launch strategy Preannouncing companies associated with temporal distance( in the near future/ distant future) and prior knowledge level(high knowledge/ low knowledge), the memory - based judgments(Global product judgment/ Discrete product judgment) and the purchase intention appears, the difference between the empirical verification of what was discriminatory. The study, first, Preannouncing main effect of temporal distance on judgments remember the difference between the purchase intention and consistent global product judgment is more discrete product judgment were higher awareness, purchase intention is higher. Second, Preannouncing high level of product knowledge in global product judgment showed that compared to discrete product judgment. In addition, low levels of knowledge than a discrete product judgment that global product judgment and purchase intention shown that a high level of consumer knowledge through systematic information processing and the road leads to higher purchase attitude. Third, Preannouncing according to the temporal distance and level of knowledge about the interaction effect results in the near future in terms of the high level of knowledge consumers global product judgment was higher than the discrete product judgment. On the other hand, a low level of knowledge of conditions in the distant future, consumers are more discrete product judgment recognized global product judgment showed that high.

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Effects of Spatial Attention for Words on Implicit Memory (단어에 대한 공각적 주의가 암묵기억에 미치는 영향)

  • 심원목;김민식
    • Korean Journal of Cognitive Science
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    • v.11 no.3_4
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    • pp.13-22
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    • 2000
  • The present study examined the role of spatial attention in implicit memory for words when the word identity processing was not required. Spatial attention to the identity-irrelevant perceptual features of the words was manipulated by using a visual search task (Experiment 1) or a focused attention task (Experiment 2). In two e experiments. a significant priming effect was not found for the target words as well as for the distractor words. Implicit memory for words was not affected by spatial attention on the perceptual properties of the words. indicating that the word identity processing is required to produce priming.

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Implicit Learning with Artificial Grammar : Simulations using EPAM IV (인공 문법을 사용한 암묵 학습: EPAM IV를 사용한 모사)

  • 정혜선
    • Korean Journal of Cognitive Science
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    • v.14 no.1
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    • pp.1-9
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    • 2003
  • In implicit learning tasks, human participants learn grammatical letter strings better than random letter strings. After learning grammatical letter strings, participants were able to judge the grammaticality of new letter strings that they have never seen before. EPAM (Elementary Perceiver and Memorizer) IV, a rote learner without any rule abstraction mechanism, was used to simulate these results. The results showed that EPAM IV with a within-item chunking function was able to learn grammatical letter strings better than random letter strings and discriminate grammatical letter strings from non-grammatical letter strings. The success of EPAM IV in simulating human performance strongly indicated that recognition memory based on chunking plays a critical role in implicit learning.

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The Automatic Processing of Emotion (정서의 자동처리기제)

  • 이수정;권준모;이훈구
    • Korean Journal of Cognitive Science
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    • v.9 no.1
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    • pp.13-29
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    • 1998
  • This literature review explores the possibilities for the automatic processing to account for the people's responses to emotional stimuli. The most fundamental question is if some parts of emotions are experienced without any intrusion of cognitions. In other words. can emotions be processed completely implicitly$\ulcorner$ Some studies advocate emotion related processes are much more immediate and primary than semantic processes. The phenomena to catch up the emotive values of stimuli even subliminally suggest that the implicit knowledge structure takes charge of this automatic processes of emotional information. This study summarizes the explanatory scheme of emotional processing by means of applying implicit memory principle and physiological evidences related to e emotional memories.

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Effect of Dropwort (Oenanthe javanica) Extracts on Memory Improvement in Alzheimer's Disease Animal Model, Tg2576 mice (알츠하이머질병 모델동물인 Tg2576 마우스를 이용한 미나리 알코올추출물의 기억력 개선 효능)

  • Won, Beom Young;Shin, Ki Young;Ha, Hyun Jee;Chang, Keun-A;Yun, Yeo Sang;Kim, Ye Ri;Park, Yong Jin;Lee, Hyung Gun
    • Korean Journal of Food Science and Technology
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    • v.47 no.6
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    • pp.779-784
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    • 2015
  • This study was conducted to investigate the effect of herbs on memory improvement by focusing on their cholinergic functions in Tg2576 mice. Seven herbs were used to obtain extracts by using alcohol and water. In screening test for cholinergic activities of the extracts, acetylcholinesterase (AChE) activity was highly inhibited in Oenanthe javanica alcohol extract (OJAE, 18.76%) as compared with the others. The OJAE-treated Tg2576 (Tg-OJAE) groups showed the statistically significant increases of latency time in passive avoidance test. Also, it was found that the concentration of $A{\beta}1-42$ was significantly reduced in Tg-OJAE groups compared to non-treated Tg2576 groups. In the additional enzyme test, it was found that $IC_{50}$ of OJAE was $991.77{\mu}g/mL$ and OJAE acted as an uncompetitive inhibitor of AChE. Therefore, it seemed that OJAE can be used for the development of processed foods for memory improvement.

Decision Support System fur Arrival/Departure of Ships in Port by using Enhanced Genetic Programming (개선된 유전적 프로그래밍 기법을 이용한 선박 입출항 의사결정 지원 시스템)

  • Lee, K. H.;Rhee, W.
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.06a
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    • pp.383-389
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    • 2001
  • 된 연구에서 대상으로 하고 있는 LG 정유 광양항 제품부두는 7 선석(Berth)에 재화중량(DWT) 300톤에서 48000 톤의 선박까지 다양한 선박이 이용하고 있으며, 해상의 기상상태에 따른 선박 입출향 통제 지침 설정이 어렵고, 현재 사용하고 있는 지침의 근거가 명확하지 않아 현재의 부두 운영이 비효율적이거나 안전성이 결여되어 있다고 할 수 있다. 따라서 이를 개선하기 위한 합리적인 부두운영 제한조건 개발이 절실히 요구되었다. 본 논문에서는 대상 부두의 특성, 대상 선박의 특성, 하중상태, 선박 운항자의 특성 등을 고려하여 해상/기상 상황(바람, 조류 및 파랑)에 따른 부두 입출항 가능 여부를 정량적으로 판단하고, 안전성 향상 방안을 제시할 수 있는 의사결정 시스템을 개발하고 5번, 7번 선석을 대상으로 이를 검증하였다. 여기서는 입출항 여부를 정량적으로 판단하여 결과를 제시하기 위해서 유전적 프로그래밍(Genetic Programming)을 이용한 기계학습 방법을 이용하였으며, GP의 방대한 계산량을 줄이기 위한 가중 선형 연상 기억(Weighted Linear Associative Memory: WLAM) 방법의 도입 및 전역 최적점을 쉽게 찾기 위한 Group of Additive Genetic Programming Trees(GAGPT)를 도입함으로써 학습 성능을 개선하였다.

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Machine learning model for residual chlorine prediction in sediment basin to control pre-chlorination in water treatment plant (정수장 전염소 공정제어를 위한 침전지 잔류염소농도 예측 머신러닝 모형)

  • Kim, Juhwan;Lee, Kyunghyuk;Kim, Soojun;Kim, Kyunghun
    • Journal of Korea Water Resources Association
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    • v.55 no.spc1
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    • pp.1283-1293
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    • 2022
  • The purpose of this study is to predict residual chlorine in order to maintain stable residual chlorine concentration in sedimentation basin by using artificial intelligence algorithms in water treatment process employing pre-chlorination. Available water quantity and quality data are collected and analyzed statistically to apply into mathematical multiple regression and artificial intelligence models including multi-layer perceptron neural network, random forest, long short term memory (LSTM) algorithms. Water temperature, turbidity, pH, conductivity, flow rate, alkalinity and pre-chlorination dosage data are used as the input parameters to develop prediction models. As results, it is presented that the random forest algorithm shows the most moderate prediction result among four cases, which are long short term memory, multi-layer perceptron, multiple regression including random forest. Especially, it is result that the multiple regression model can not represent the residual chlorine with the input parameters which varies independently with seasonal change, numerical scale and dimension difference between quantity and quality. For this reason, random forest model is more appropriate for predict water qualities than other algorithms, which is classified into decision tree type algorithm. Also, it is expected that real time prediction by artificial intelligence models can play role of the stable operation of residual chlorine in water treatment plant including pre-chlorination process.

Cognitive-Pragmatic Language Assessment for Normal Aging : Study of Assessment Tools and Content Validity (노년층의 인지-화용언어 능력 평가 : 평가도구 및 내용타당도 연구)

  • Lee, Mi-Sook;Kim, Hyang-Hee
    • The Journal of the Korea Contents Association
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    • v.12 no.5
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    • pp.280-292
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    • 2012
  • Cognitive-pragmatic language ability decreases during the normal aging process. Evaluating the ability might be useful in testing predicting cognitive level and diseases such as dementia. The aim of this study is to analyze various assessment protocols for normal aging, and evaluate the content validity of the currently developing cognitive-pragmatic language test domains and items. Content Validity Index(CVI) was calculated based on ratings judged by 17 experts including speech-language pathologists and clinical psychologists. As a result, it was found that CVIs of all 7 domains including attention, memory, organization, reasoning, problem solving, executive function, pragmatic language were above .75. It was concluded that the test items contained the appropriate content validity to assess cognitive-pragmatic language for normal aging.

A Study on the Usability Evaluation and Improvement of Voice Tag Reader for an Visually Impaired Person (시각장애인 대상 음성태그리더기의 사용성 평가 및 개선 방안 연구)

  • Sora Kim;Yongyun Cho;Taehee Yong
    • Journal of Internet of Things and Convergence
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    • v.9 no.2
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    • pp.1-9
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    • 2023
  • This study was conducted for the purpose of improving the usability of the product through the usability evaluation of the voice tag reader to improve the life convenience of the visually impaired. Perceived usability evaluation was conducted for 19 evaluation items based on the evaluation model considering the usability principle and the characteristics of the visually impaired. A total of 50 participants were included for the analysis. As a result of the perceived usability evaluation of the visually impaired, the safety of the voice tag reader, voice and sound quality, and accuracy of voice information were relatively satisfactory. It was found that the reader received a low evaluation in terms of efficiency in use, including the size and weight of the reader, and the convenience of carrying and storing. For the usability improvement, the procedure for using a product needs to be more simplified, and it would be helpful to input and supply tags for commonly used objects in advance.

Beverage Taste Perception Influenced by Its Turbidity: Results from Twenties and Thirties (탁도에 따른 음료의 미각 인지: 20, 30대 소비자를 중심으로)

  • Kim, Taesu;Choi, Kyungah;Suk, Hyeon-Jeong
    • Science of Emotion and Sensibility
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    • v.20 no.2
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    • pp.3-10
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    • 2017
  • This research investigated the cross-modal correspondence between the turbidity and taste of beverages. For an empirical study, we employed two types of achromatic beverages: rice wine and a soft drink. The turbidity of each drink varied between 0.0625~32 g/L, and 0.0078~4 g/L, respectively, and the stimuli were prepared in ten levels according to cognitive turbidity. In the study, participants (N=35) rated each drink stimulus using a 3-point Likert scale with regard to five basic tastes: sweet, salty, bitter, sour, and preferred. In addition, six specific tastes were included that deliberately describe rice wine and the soft drink. Three were yeasty, alcoholic, and astringent for the rice wine, and the other three were creamy, bubbly, and syrupy for the soft drink. Based on participants' assessments, the turbidity of rice wine is highly positively correlated with all five basic tastes. In contrast, the turbidity of the soft drink was positively correlated with sour only. Concerning preference, the most preferred turbidity of rice wine was 4.6~20 g/L, which is close to the turbidity of existing products on the market. Furthermore, except for astringent and syrupy, all tastes were influenced by the turbidity, which implies the potential of turbidity as a new visual parameter to communicate the taste experience of beverages.