• Title/Summary/Keyword: attributes to select

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A Study on the Website Evaluation Method Using the SEM (구조방정식을 이용한 웹사이트의 인간공학적 평가 방법에 관한 연구)

  • Choe, Jae-Ho;Baek, In-Gi
    • Journal of the Ergonomics Society of Korea
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    • v.22 no.2
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    • pp.45-56
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    • 2003
  • The purpose of this study is to develop the model including multiple causal relationship between factors to evaluate overall user satisfaction and develop an objective method to quantify the impacts and scores of each qualitative factors on overall user satisfaction using Structural Equation Model(SEM) and also test the feasibility to construct a comprehensive website evaluation model including qualitative and quantitative factors. The SEM model used 2 qualitative factors of usability and esthetic factors for the evaluation factors of user satisfaction and select 4 attributes of each factors using factor analysis. 3 shopping mall sites were evaluated to construct the SEM model, and 155 subjects participated the website evaluation using the walk-through and face-to-face survey method. Analysis results showed that the SEM model was statistically significant for all the 3 websites evaluated. Both the usability and esthetic factors showed significant effects to user satisfaction of websites and have positive correlation. The user satisfaction was more effected by the usability factor than esthetic factors, and the simplification and harmonization were the most critical attributes of the usability and esthetic factors.

EPG User Interface Via Multiple Programmable Attribute Values Specified (복수의 프로그램 속성 값 지정을 통한 EPG User Interface)

  • Yoon, Jeong-Shick
    • Journal of the Semiconductor & Display Technology
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    • v.14 no.4
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    • pp.61-66
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    • 2015
  • With the start of digital broadcasting, TV screen, there is provided a new broadcast service is called EPG (Electronic Program Guide) that can be retrieved directly to a channel or program. However, a study considering the EPG of the user interface on the viewer position is so far insufficient. TV is because everyone watching the media, rather than a specific layer is necessary in order to find easy, intuitive user interface for the program to the viewer. That is, it is possible to quickly find the program to select the attributes that the TV viewer can be easily understood by using the EPG. To this end, this paper first genres which are representative of the properties that distinguish a TV program, time, rating, etc. were systematically classified. So viewers the values of the properties but to specify organized by the EPG, the order of attributes that specify the value we design a user interface that can be selected as having easy. And compare the superiority of the function evaluation of the two through the EPG in the EPG Usability Test proposed by the EPG with the existing commercial paper.

Study on Beverage Select Behavior according to the Food-related Lifestyle focused on Behaviors in Seoul, and Gyeonggi Province (식생활라이프스타일에 따른 소비자의 음료선택행동 - 서울, 경기지역을 중심으로 -)

  • Lee, Kyung-Ran;Lee, Eun Jung;Kim, Ju-Yeon
    • Journal of the Korean Society of Food Culture
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    • v.32 no.1
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    • pp.27-38
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    • 2017
  • This study aimed to analyze the beverage usage behavior according to the food-related lifestyle in Seoul, Gyeonggi province area. Group 1, named 'health & safety seeking' group, consists of high percentage of women in their 40s, as well as a high percentage of high income and highly educated. Group 2, was group of 'high interest in dietary life', consists of a high percentage of women in their 30s, highly educated, earned 3~5 million won. Group 3, named 'convenience seeking' group, had a high percentage of men and of those in their 20s who earned less than 2 million won. In verifying the difference between food-related lifestyle groups in terms of their behaviors and attitudes towards the usage of beverage specialty shop, group 1 showed significantly high score in the number of visit beverage specialty shops, the intention to spend higher average expenditure per visit per person, importance of selection attributes of beverage specialty shop.

Multicriteria Movie Recommendation Model Combining Aspect-based Sentiment Classification Using BERT

  • Lee, Yurin;Ahn, Hyunchul
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.201-207
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    • 2022
  • In this paper, we propose a movie recommendation model that uses the users' ratings as well as their reviews. To understand the user's preference from multicriteria perspectives, the proposed model is designed to apply attribute-based sentiment analysis to the reviews. For doing this, it divides the reviews left by customers into multicriteria components according to its implicit attributes, and applies BERT-based sentiment analysis to each of them. After that, our model selectively combines the attributes that each user considers important to CF to generate recommendation results. To validate usefulness of the proposed model, we applied it to the real-world movie recommendation case. Experimental results showed that the accuracy of the proposed model was improved compared to the traditional CF. This study has academic and practical significance since it presents a new approach to select and use models in consideration of individual characteristics, and to derive various attributes from a review instead of evaluating each of them.

Concept Analysis of Suffering (고통(Suffering) 개념 분석)

  • Gang, Gyeong-A
    • The Korean Nurse
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    • v.36 no.2
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    • pp.39-48
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    • 1997
  • There is a need to define the concept of suffering more appropriate in the context of Korean culture. This research is an attempt to reanalyze the concept of suffering by applying Walker & Avant's process of concept analysis. The steps of concept analysis are : 1. Select a concept. 2. Determine the aims or purpose of the analysis. 3. Identify all uses of the concept that you can discover. 4. Determine the defining attributes. 5. Construct model, contrary, borderline, related and invented cases. 6. Identify antecedents and consequences. 7. Define empirical referents. The concept of suffering can be defined as follows: Suffering is a fundamental and inevitable experience of all human beings. When each individual experiences loss, damage and pain which threaten one's personal integrity, suffering is perceived differently among each individual depending on their personal inner factors, one's significant others, exterior circumstances and stimuli, and the ultimate meaning of life. Suffering brings severe and unendurable distress which accompany despair, powerlessness, anxiety, bitterness, fear, anguish, guilt, depression, withdrawal and anger. The attributes of suffering were analyzed. Model case, contrary case, borderline case, related case, and invented case were described. Antecedents, consequences and empirical referents were explored. This concept analysis provides data for new insights of suffering. These findings suggests that appropriate nursing interventions aimed at relieving suffering of patients need to be developed and implemented more widely.

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A Data Mining Approach for Selecting Bitmap Join Indices

  • Bellatreche, Ladjel;Missaoui, Rokia;Necir, Hamid;Drias, Habiba
    • Journal of Computing Science and Engineering
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    • v.1 no.2
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    • pp.177-194
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    • 2007
  • Index selection is one of the most important decisions to take in the physical design of relational data warehouses. Indices reduce significantly the cost of processing complex OLAP queries, but require storage cost and induce maintenance overhead. Two main types of indices are available: mono-attribute indices (e.g., B-tree, bitmap, hash, etc.) and multi-attribute indices (join indices, bitmap join indices). To optimize star join queries characterized by joins between a large fact table and multiple dimension tables and selections on dimension tables, bitmap join indices are well adapted. They require less storage cost due to their binary representation. However, selecting these indices is a difficult task due to the exponential number of candidate attributes to be indexed. Most of approaches for index selection follow two main steps: (1) pruning the search space (i.e., reducing the number of candidate attributes) and (2) selecting indices using the pruned search space. In this paper, we first propose a data mining driven approach to prune the search space of bitmap join index selection problem. As opposed to an existing our technique that only uses frequency of attributes in queries as a pruning metric, our technique uses not only frequencies, but also other parameters such as the size of dimension tables involved in the indexing process, size of each dimension tuple, and page size on disk. We then define a greedy algorithm to select bitmap join indices that minimize processing cost and verify storage constraint. Finally, in order to evaluate the efficiency of our approach, we compare it with some existing techniques.

Selection of Cutting Fluids for Environmentally Clean Machining (청정 절삭 가공을 위한 절삭유제의 선택)

  • Chang, Yoonsang
    • Clean Technology
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    • v.2 no.2
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    • pp.165-175
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    • 1996
  • Cutting fluids in machining process are one of the parameters which have serious effects on the environment. A simple method to accomplish the environmentally clean process is to evaluate the effects of cutting fluids and select one which has the least environmental load. In this research, a process planning to select the best cutting fluid is suggested considering both machinability and environmental effects. The selection criteria and evaluation method named AHP are introduced. The planning process is illustrated with drilling characterized as a heavy-duty and low-speed process. Five standard fluids are compared with respect to five environmental attributes. Compounded cutting oils are superior to water-soluble oils in both machinability and environmental effects.

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The Impact of Employee's Attributes on Corporate Pension Insurance Products Preference (기업연금보험상품 선호도에 대한 종업원 속성의 영향)

  • Joo, Heon
    • The Korean Journal of Franchise Management
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    • v.7 no.2
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    • pp.27-35
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    • 2016
  • Purpose - The primary objective of this study is to investigate the impact of employee characteristics on employees' preference towards corporate pension products. This study can provide a guidance for maximization of benefits for employees and their affiliated corporation. Employee characteristics include average length of labour, wage system of annual salary, age, types of interest rates and size of corporation. Existing research generally concentrate on vitalizations of corporate pension product raising an imperfection, improvements, tax benefit analysis and legal consideration. Thus, this study intensively analyses the effect of employee attributes on firms' decision for corporate pension products, such as DB(defined benefit) and DC(defined contribution) type. Research design, data, and methodology - The data were collected using self-administrated questionnaire survey on corporate pension products from CEOs or HR directors 250 foreign-invested companies', purchasing pension plans in practice with domestic financial trustees (insurance companies, banks and security companies). Hypotheses testing was conducted using Logistic Regression analysis with SPSS/PC+ 21.0. Results - The findings of the study are as follows. Employees with the long length of labour are more likely to have DB plan; more likely to prefer DC plan with the dividend distribution product regarding the types of interest rate. SMEs(less than 100 employees) are more likely to select DC plan whereas high fluctuation in wage with annual salary has no impacts. In addition, the ages has no significant effect on the preference. Conclusions - This study has examined with the empirical testing that employees' variable attributes and qualities are one of the vital factors for corporation pension plan selection. Currently, majority employees are highly likely to join DB plan and Defined interest types. Corporation with less than 10 employees prefer IRP scheme while most of corporation are intended to join DC plan. In a very near future, corporation more than 300 employees will be required to purchase mandatory plan under national regulation. For maximization of employees' contentment to corporation pension insurance and for complementing the flaws of existing plans, the future studies shall also research in a perspective of employee benefit.

A Research on Swedish University Students' Perceptions of Asian Food;Focused on Thai, Chinese, Japanese and Korean Food (스웨덴 대학생의 아시아 음식에 대한 인식 연구;태국, 중국, 일본 그리고 한국 음식을 중심으로)

  • Lee, Kyung-Ran;Lee, Jong-Mee;Cho, Mi-Sook
    • Journal of the Korean Society of Food Culture
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    • v.23 no.3
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    • pp.348-355
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    • 2008
  • For globalization of Korean food, It is essential to research and analyze target markets in advance. However until recently, there has been a lack of food research in regions of select countries in order to create systematic plans for marketing Korean foods. Therefore this study aimed to investigate the recognition of Korean foods as compared to other Asian foods in young adults living in Vaxjo, Sweden. Over 90 percent of the Swedish students had experienced Thai and Chinese cuisines, indicating their popularity as Asian foods in Sweden. The participants were attracted to six positive attributes of Asian food: 'fresh vegetables', 'low fat', 'chicken and sea food', 'exotic ingredients', 'good value for the money' and 'unknown foods'. The favorite type of Asian food was Thai food and Korean food was the least tried, as over 50% of respondents linked it to 'unknown food' attributes. Based on these results, in order to introduce Korean food more successfully, focus should be placed on the unique and unknown attributes of Korean food, as well as emphasis placed on its healthfulness, to stimulate the curiosity of target markets such as young Swedish adults.

Estimation of Attributes Affecting University Students to Select the Pizza Restaurant by Gender (성별에 따른 대학생의 피자전문점 선택에 영향을 미치는 속성 평가)

  • Kang, Jong-Heon;Jeong, In-Suk
    • Journal of the Korean Society of Food Culture
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    • v.21 no.1
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    • pp.57-64
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    • 2006
  • The purpose of this study was to measure the pizza purchasing behavioral characteristics of respondents and importances of factors affecting pizza purchase, to estimate the effects of attributes on pizza restaurant choice, and to predict probability of selecting a particular pizza restaurant. The questionnaire consisted of two parts: The paired experimental profiles, purchasing behavior and importances of factors affecting pizza purchase. This study generated profiles of 16 hypothetical pizza restaurant based on the seven attributes. The profiles comprised 16 discrete sets of variables, each of which had two levels. For this study, researcher randomly selected 150 students of university as respondents. Twenty students did not complete the survey instrument, resulting in a final sample size of 129. All estimations were carried out using frequencies, $X^2$, independent samples t-test, phreg procedure of SAS package. The results are as follows. Some purchasing behavioral characteristics and importances of factors affecting pizza purchase were significantly different by gender. Based on the estimated models developed for male student group and female student group, the Chi-square statistics were significant at p<0.001. The parameter estimate for late delivery time with male student group was highest, and the parameter estimate for price with female student group was highest. The pizza restaurant that charged \20,000, offered 100% discount on eleventh pizza, promised to deliver pizza in 40 mins, usually delivered the pizza as promised time, offered only 1 type of pizza crust, delivered warm pizza, offered the money-back guarantee was favored by each of male student group and female student group. The results from this study suggested that there was an opportunity to increase market share and profit by improving operations so that customers receive discount and money-back guarantee simultaneously, and by reducing price, delivery time.