• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권4호
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• pp.711-725
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• 2013

A heuristic with multi-byte suffix matching plays an important role in real pattern matching algorithms. By skipping many characters at a time in the process of comparing a given pattern with the text, the pattern matching algorithm based on a heuristic with multi-byte suffix matching shows a faster average search time than algorithms based on deterministic finite automata. Based on various experimental results and simulations, the previous works show that the pattern matching algorithms with multi-byte suffix matching performs well. However, there have been limited studies on the mathematical model for analyzing the performance in a standard manner. In this paper, we propose a new probabilistic model, which evaluates the performance of a heuristic with multi-byte suffix matching in an average-case search. When the theoretical analysis results and experimental results were compared, the proposed probabilistic model was found to be sufficient for evaluating the performance of a heuristic with suffix matching in the real pattern matching algorithms.

• 유통과학연구
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• 제17권10호
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• pp.73-81
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• 2019

Purpose - The purpose of this study was to examine the effect of the heuristic type of consumers affecting purchase decision making and the intention of shopping value in their relationship to derive mobile social commerce purchase promotion plans. Research design, data, and methodology - A research model was constructed to relate the mediating effect of shopping value between heuristic types and purchase intentions. A total of 233 valid questionnaires were used for analysis for users using mobile social commerce. The statistical program used SPSS 24.0 and AMOS 24.0, and correlation analysis, regression analysis, and 3-step parametric regression analysis were used for the analysis. Results - The results of the analysis showed that representativeness heuristics, availability heuristics, adjustment heuristics, and affect heuristics had a statistically significant effect on the utilitarian value and the hedonic value. On the other hand, affect heuristics among the heuristic types were found to have the greatest influence not only on the utilitarian value but also on the hedonic value. The two types of shopping value were found to be partially mediated between representativeness heuristics and purchase intentions, between adjustment heuristics and purchase intentions, and fully mediated between availability heuristics and purchase intentions, affect heuristics and purchase intentions. Conclusions - These findings suggest that mobile social commerce companies should check in advance how consumer heuristic types affect purchase intentions. In particular, affect heuristics are caused by consumers' emotional mood such as mood or external stimulus being more important to decision making than rational decision making. Therefore, the result of this study suggests that it can be an important factor to secure the competitiveness that the potential customers who access to use mobile social commerce can feel enough fun and enjoyment in the platform provided by the company. It is also worth paying attention to the utilitarian and hedonic values perceived by consumers. This is because the judgment regarding the economic, convenience and important information provided by the mobile social commerce users affects the purchase intention through the trust of the information, past use, and shopping experience displayed on the mobile social commerce platform.

• 융합경영연구
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• 제11권5호
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• pp.69-80
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• 2023

Purpose: The purpose of this study is to identify factors that affect decision-making for e-commerce users and to present ecommerce companies with the company's strategic directions for consumer purchases. Research design, data, and methodology: In this study, a structured research model was derived to confirm the relationship between brand image, product liking, heuristic and purchase intention and the difference according to psychological power. For analysis a total of 212 valid questionnaires from e-commerce users were used. confirmatory factor analysis, correlation analysis, and structural equations were conducted to verify. Results: Both brand image and product liking had a significant effect on purchase intention as well as heuristics. However, heuristics did not affect the purchase intention. It was found that the relationship between brand image, product liking, heuristic, and purchase intention differed depending on the psychological power. Conclusions: Companies should seek ways to increase the positive brand image and likability of products so that consumers can quickly purchase products. In the relationship between brand image and heuristic, the low-psychological group has more influence on heuristic, and in case of product liking, the high-psychological group has more influence on heuristic. In the relationship between brand image and product liking for purchase intention, both in the high psychological power group affect more influence on purchase intention. Since the process of purchasing products varies depending on the consumer psychological power tendency, it is necessary to identify the characteristics of consumers and establish strategies for purchasing promotion measures.

• 디자인학연구
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• 제17권2호
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• pp.23-32
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• 2004

본 연구는 사용자의 시지각 프로세스에 대한 분석을 통해 시선추적 과정을 이해하고, 인간의 정보처리 모델을 기반으로 휴리스틱 가이드라인을 도출하여, 실무에서 적용할 수 있는 인터페이스 디자인의 일반적인 원리를 발견하는 것에 목적이 있다. 이를 위해 인간의 시각 특성을 이용한 시선추적 시스템을 실험에 적용하여, 상향처리와 하향처리의 시지각 프로세스를 파악하고 인간의 정보처리 모델을 근거로 디자인을 위한 적용점을 분석하였다. 사례 연구로 인터랙티브 미디어를 실험하여 시선의 동선 및 고정점을 통해 사용자의 관심을 확인하고, 사용자의 인지과정을 이해하기 위한 단서를 효과적으로 얻을 수 있었다 그리고, 인간 행위의 각 단계와 정보처리 모델을 기반으로 다섯 가지의 휴리스틱 가이드라인을 도출하였으며, 이를 통하여 디자인 실무에서 직접 적용할 수 있는 인터페이스 디자인의 일반적인 원칙을 발견할 수 있었다.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2002년도 봄 학술발표회 논문집
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• pp.240-241
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• 2002

• 품질경영학회지
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• 제46권3호
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• pp.717-738
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• 2018

Purpose: This study aims to analyze why surveys of a single set of customer requirement result in different Kano analyses depending on the survey questionnaire designs. Methods: This study singled out 14 common features from four different questionnaires of two studies of Smart Car features and analyzed them using the Kano model. Several methods and devices were used: Group Comparison and Timko Index were applied; Kano Distribution Index, Timko Dispersion and Kano Conformity were newly introduced for the quantitative analysis; Correlations between Timko indices from different Kano questionnaires were conducted; Heuristic Splitting technic for reinforcing attribute categorization is introduced. Results: Correlation Coefficient proved strong positive relations among the three questionnaires, whose agreement degree of the resulting Kano attributes showed less than 10% when Indifferent was ignored. Heuristic Splitting on Timko charts enhanced the degree of the resulting Kano attributes up to 80%. Conclusion: Among the questionnaires the representation of customer requirements tends to move by parallel shifts on the Timko chart maintaining their relative locations. Heuristic Splitting suggests a rational solution to the interpretation of those inexplicable attribute categories resulting from traditional Kano methods.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.845-853
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• 2021

The stock market shows the current health of an economy, and investment performance represents it. This study aims to clarify the relationship between financial behavior and investment decisions as well as its impact on investment results. Determine the influence of behavioral factors on individual investors' investment decisions and investment performance on the Vietnam stock market. The study surveyed 250 investors. The main analytical methods used are Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). Research results show that Heuristic, Prospect, Market, and Herding directly and positively affect investment decision-making. Besides, the above factors have a direct and positive effect on investment performance. In particular, the Prospect factor has the strongest influence on investment decision-making and investment performance. The major findings of this study suggested that the important role of Heuristic, Prospect, Market, and Herding on Investment Decision-making and Investment Performance. Prospect had the strongest impact on Investment decision-making (β = 0.275). Heuristic had the second strongest impact (β = 0.257), then Herding (β = 0.202), and finally Market (β = 0.189) had the weakest effect. Regarding Investment Performance, the Prospect factor has a higher degree of impact than Heuristic Herding and Market.

• 한국컴퓨터정보학회논문지
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• 제22권9호
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• pp.81-89
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• 2017

The CRP(Container Relocation Problem) algorithms pursuing efficient container relocation of wharf container terminal can not be deterministic because of the large number of layout cases. Therefore, the CRP algorithms should adopt trial and error intuition and experimental heuristic techniques. And because the heuristic can not be best for all individual cases, it is necessary to find metrics which show excellent on average. In this study, we analyze GLAH(Greedy Look-ahead Heuristic) algorithm which is one of the recent researches in detail, and propose a heuristic metrics HOB(sum of the height differences between a badly placed container and the containers prohibited by the badly placed container) to improve the algorithm. The experimental results show that the improved algorithm, GLAH', exerts a stable performance increment of up to 3.8% in our test data, and as the layout size grows, the performance increment gap increases.

• 한국수학사학회지
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• 제18권4호
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• pp.29-38
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• 2005

이 논문에서는 고대 그리스 시대부터 비롯되었던 논리 전개 방식 토는 발견술에서 출발하여 19세기 사영기하학의 방법론에 이르기까지 종합법과 해석법의 대립을 다룬다. 애초에 발견술로서 차이를 드러냈던 두 방법은 출발 자체가 주로 기하학영역에서 비롯되었듯이 18세기에 이르러 기하학의 양대 분야, 즉 해석기하학과 종합기하학으로까지 나뉘게 되는 토대를 제공한다. 19세기에 이르러서는 사영기하학 내부에서 수학의 본성에 대하여 다른 관점을 가지는 데서 야기된 대립 양상까지 보이게 된다 그렇지만 결국 양자의 변증법적 지양을 도모했던 고대에서와 마찬가지로 더 이상 대립의 근거가 없어지기에 이르는 과정을 밝힌다.

• Structural Engineering and Mechanics
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• 제60권6호
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• pp.1093-1117
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• 2016

Global sensitivity analysis (GSA) has been widely used to investigate the sensitivity of the model output with respect to its input parameters. In this paper a new single-solution search optimization algorithm is developed based on the GSA, and applied to the size optimization of truss structures. In this method the search space of the optimization is determined using the sensitivity indicator of variables. Unlike the common meta-heuristic algorithms, where all the variables are simultaneously changed in the optimization process, in this approach the sensitive variables of solution are iteratively changed more rapidly than the less sensitive ones in the search space. Comparisons of the present results with those of some previous population-based meta-heuristic algorithms demonstrate its capability, especially for decreasing the number of fitness functions evaluations, in solving the presented benchmark problems.