• Archives of design research
• /
• v.17 no.1
• /
• pp.329-338
• /
• 2004

This study did derive a characteristic of a cover design through considering a concept, a function and components of a cover design based on a literature study and through analyzing cases of the best-seller cover designs for the literature section from 1999 to 2002. In terms of a reader's preference for a cover design according to an age and sex of a reader, it tried to suggest a condition and a method of a book-cover design through a questionnaire survey and the image evaluation. In a survey of the preference for a cover design, there was the difference of interest degree in a kind of a book, a place to buy a book and a cover design according to an age and sex. In addition, it was shown that a woman prefers the stylish typography, and both a man and a woman prefer the cool color. However, except these two, the reason why there is no difference in preference for visual elements are that a cover design is an integrative image comprising several elements. Accordingly, through the Semantic Differential Method, it carried out the evaluation as to a cover design as an integrative image. As a result of that, an abstract image was shown to be difficult to convey a meaning because of its fall in clarity. Further, a cover design mainly comprising the stylish typography gained the high evaluation in unique and clarity. It is thought to be attributable to the easiness to achieve a goal of seeing and reading in a cover design in which an image and the typography are balanced, rather than the excessive visual. Even though the visual is excellent, there was difference from what having been excellent in conveying a meaning, which is a functional aspect. This study tried to examine, limiting it only to a visual element. It will be hereafter required to proceed with a study on the influence on a reader's preference according to material, bookbinding and a form of book which are elements comprising a cover design.

• Journal of Appropriate Technology
• /
• v.7 no.1
• /
• pp.2-25
• /
• 2021

This study evaluated gender preferences regarding the mechanical properties of polymers that are typically used as cooperative robot skin. Gender-based preferences of workers aged 20~30 and polydimethylsiloxane were examined according to the body parts which is most frequently in contact with the robot during operation. The factors influencing preference, i.e., stiffness and stickiness, as measured by strain rate and contact angle, respectively, were analyzed to compare gender-based differences. Female preferred stiffer materials with small strain rates while male preferred softer materials with large strain rates. As a result of evaluating mechanical properties of the materials to relate to gender-based preference, we found that female tended to prefer Dragon-skin with the lowest stickiness, and a low strain rate, during compressive creep tests. In contrast, male tended to prefer Ecoflex with high strain rate regardless of stickiness. Therefore, these results provide basis for material selection when considering cooperative robot skin.

• Journal of Korea Society of Industrial Information Systems
• /
• v.10 no.3
• /
• pp.21-29
• /
• 2005

The most of automated negotiation systems are dependent upon negotiators' offers, as negotiation is going on. Particularly, the preference, evaluation function and negotiation strategy are variously changed at every negotiation round by the negotiator and have an effect on the counter offers. Therefore, this study proposed the automated negotiation methodology or negotiation model which makes the negotiator's participation minimize. To minimize negotiator's participation, the preference of negotiator was predicted by the ratio of seller and buyer's count offers and the evaluation function of negotiator was also predicted by least squares approximation method at every negotiation round. The predicted evaluation function was evaluated and selected by $R^2$ value, coefficient of determination. Finally the optimal counter offers were generated by the genetic algorithm using the predicted preference and value function.

• Korean journal of food and cookery science
• /
• v.22 no.2 s.92
• /
• pp.158-163
• /
• 2006

This study developed rosemary Jeungpyun to increase the functional value and flavor of traditional Jeungpyun by adding rosemary Powder. Rosemary Jeungpyun containing 0%, 0.5%, 1%, 1.5% and 2% of rosemary powder was prepared and the moisture content, pH, color, texture and sensory properties of the samples were measured. With increasing rosemary powder content, the moisture content of rosemary Jeungpyun decreased, pH increased significantly, L-value decreased, and Hunter a and b-values significantly increased. Textural profile analysis showed that the hardness and brittleness were significantly increased but adhesiveness was decreased with increasing rosemary powder content. Sensory evaluation showing the highest value on air cell uniformity, flavor and overall acceptability of 0.5% rosemary Jeungpyun, which suggested the Possibility of rosemary Jeungpyun with improved sensory characteristics.

• Journal of Digital Convergence
• /
• v.11 no.2
• /
• pp.271-277
• /
• 2013

Typical semantic search query for Semantic search promises to provide more accurate result than present-day keyword matching-based search by using the knowledge base represented logically. Existing keyword-based retrieval system is Preference for the semantic interpretation of a user's query is not the meaning of the user keywords of interconnect, you can not search. In this paper, we propose a method that can provide accurate results to meet the user's search intent to user preference based evaluation by ranking search. The proposed scheme is Integrated ontology-based knowledge base built on the formal structure of the semantic interpretation process based on ontology knowledge base system.

• The Journal of the Acoustical Society of Korea
• /
• v.30 no.5
• /
• pp.273-280
• /
• 2011

The sounds of the Korean temple bells, that are located in the various places, were recorded and classified into two groups according to the size of bells. The sound preference was investigated with the subjective listening test on the bells of each group. And the acoustic characteristics of the bells such as the frequency, amplitude, beat period, and 20 dB decay rate of the partials was analyzed. The correlation between the acoustic parameters and timbre preference were analyzed and the acoustic characteristics of highly preferred bell sound were presented.

• Annual Conference on Human and Language Technology
• /
• 2002.10e
• /
• pp.199-206
• /
• 2002

언어가 아닌 다양한 지식원으로부터 그것을 설명하는 텍스트를 생성하는 텍스트 생성 (text generation)은 여러 가지 복합적이고 단계적인 과정을 거쳐 이루어진다. 자연스러운 텍스트를 생성하기 위한 여러 단계 중, 지식원으로부터 텍스트에 포함되기 위해 뽑힌 정보들간의 순서를 적절히 결정하는 과정을 텍스트 구조화(text structuring)라고 한다. 텍스트 구조화는 생성될 텍스트의 결속성(coherence)을 크게 좌우하므로, 양질의 텍스트를 생성하기 위해서는 텍스트 구조화를 다루기 위한 정교한 방법론이 요구된다. 본 논문에서는 SA(simulated annealing) 알고리즘을 이용해 추계적 텍스트 구조화 방안을 제안하며 특히, SA의 평가 함수(evaluation function)로서, 총 4가지의 방법론-중심화 이론(centering theory)을 이용한 센터 전이 유형의 선호도, 추론 비용에 근거한 전이 유형간의 선호도, 서두 문장을 결정하기 위한 가중치 할당에 따른 선호도, 인접한 문장간의 유사도에 따른 선호도-을 제안하고 실험을 통해, 그 효용성을 보였다.

• Journal of Korea Society of Industrial Information Systems
• /
• v.24 no.4
• /
• pp.29-36
• /
• 2019

We propose a smart parking space guiding system based on user preferences in a parking lot. This system guides each vehicle to the most suitable parking space in a parking lot to meet the user preferences such as the available parking spaces in the parking zones and the proximity to the destination by exploiting the traffic to each parking zone gathered at the sensors near each guiding display. For this purpose, this paper proposes the cost function for the optimal route guide based on the various user preferences. In addition, the paper reports the design and implementation results of an event based simulator to show the feasibility of the smart parking guidance system.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.33 no.6
• /
• pp.990-1001
• /
• 2009

The purpose of this study was to investigate the effect of perceiver's gender, clothing, and hairstyle on the visual evaluation of men's professionalism and preference. A quasi-experimental method by questionnaire was used. The experimental design was a $2\times8\times2$ (perceiver's gender $\times$ clothing $\times$ hairstyle) factorial design by 3 independent variables. The stimuli were 16 photographs of a man in his twenties. The upper clothing of the man included tailored collar jackets in beige and dark blue colors, and jumpers and sweaters in beige, dark blue, and red colors. The lower clothing of the men included jean pants. Two types of the hairstyles included short hair and medium length hair. The subjects were 208 men and 223 women in Seoul, Korea. Wearing a beige sweater with jean pants was evaluated high in intellectual image, a red jumper was perceived low in intellectual image, and a beige tailored collar jacket was evaluated low in potent image. Men's short hairstyle was evaluated to be more professional than the medium length hair. Male perceivers liked short hair more than medium length hair, but female perceivers evaluated both hairstyles similarly. In the case of women, the preferences of tailored collared jacket and soutien collared jumper were similar, but jumper was preferred to jacket in the case of men. Male perceivers showed more positive feedback towards jean pants with soutien collared jumper than jeans with tailored collared jacket, which indicated that men showed more conservative attitude towards the outfit than women. The man who was wearing a jumper with short hair was evaluated positively and the man who was wearing a jacket with medium length hair was evaluated negatively when the attires were coordinated with jean pants. In conclusion, medium length hairstyle with a beige jacket and short hairstyle with a red sweater were evaluated as professional image; and the results indicated that clothing and hairstyle interact with each other and influence the evaluation of professionalism.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.49 no.3
• /
• pp.1-10
• /
• 2021

This study aimed to evaluate preferences of Bukhansan dulegil using sentiment analysis, a natural language processing technique, to derive preferred and non-preferred factors. Therefore, we collected blog articles written in 2019 and produced sentimental scores by the derivation of positive and negative words in the texts for 21 dulegil courses. Then, content analysis was conducted to determine which factors led visitors to prefer or dislike each course. In blogs written about Bukhansan dulegil, positive words appeared in approximately 73% of the content, and the percentage of positive documents was significantly higher than that of negative documents for each course. Through this, it can be seen that visitors generally had positive sentiments toward Bukhansan dulegil. Nevertheless, according to the sentiment score analysis, all 21 dulegil courses belonged to both the preferred and non-preferred courses. Among courses, visitors preferred less difficult courses, in which they could walk without a burden, and in which various landscape elements (visual, auditory, olfactory, etc.) were harmonious yet distinct. Furthermore, they preferred courses with various landscapes and landscape sequences. Additionally, visitors appreciated the presence of viewpoints, such as observation decks, as a significant factor and preferred courses with excellent accessibility and information provisions, such as information boards. Conversely, the dissatisfaction with the dulegil courses was due to noise caused by adjacent roads, excessive urban areas, and the inequality or difficulty of the course which was primarily attributed to insufficient information on the landscape or section of the course. The results of this study can serve not only serve as a guide in national parks but also in the management of nearby forest green areas to formulate a plan to repair and improve dulegil. Further, the sentiment analysis used in this study is meaningful in that it can continuously monitor actual users' responses towards natural areas. However, since it was evaluated based on a predefined sentiment dictionary, continuous updates are needed. Additionally, since there is a tendency to share positive content rather than negative views due to the nature of social media, it is necessary to compare and review the results of analysis, such as with on-site surveys.