• 유통과학연구
• /
• 제16권8호
• /
• pp.63-68
• /
• 2018

Purpose - Lettuce (Lactuca sativ L.) is one of the economically important vegetable crops, which worldwide market value is over 100 billion U.S. dollar. In Korea, about 89.7 kilo ton of lettuce was produced in 3400ha in 2016, recoded as No. 1 vegetable crop in domestic green house production. However, recently, domestic lettuce production and cultivation areas are all getting decreased. Thus, novel approaches are needed to be implemented to revive the production. Research design, data and methodology - In this review paper, we first prioritized the end-user traits which are imperative to positively stimulate the domestic lettuce market and discussed relevant genomics strategies. Especially, we assessed a possibility whether school meal program would be a potential niche market. Results - The genomics technologies, which become widely applied in the crop biotechnology since 2008 when next generation sequencing method was developed, may be a good solution in the crop improvement, efficiently gathering valuable information of agriculturally useful traits. Significantly, in lettuce, the high quality whole genome sequence, based on Lactuca sativa cv. Salinas, is publically available and this genomics platform, thus, would be implemented in lettuce breeding program to innovate relevant end-user traits both for the farmers and customers, including the disease resistance to the Fusarium wilt, productivity under hot weather conditions, various nutritional qualities and so forth. These improvements will boost domestic lettuce industries in the near future. Conclusions - Due to the nutritional distinctions comparing to the western style lettuces, domestic leaf lettuces could be one of the important vegetables in the school meal programs. To make it happen, we would better devise diverse recipes to make a salad with it, instead of only using as a wrap vegetable. Meanwhile, novel lettuce varieties need to be developed, which are favorable to the students and also easy to be handled with while processing. Overall, to achieve international competence in the lettuce industries, we need to create elite lettuce varieties that satisfies domestic farmers as well as customers, suitable to various niche markets, such as school meal program. Thus, efficient breeding programs using genomics approaches should be established in advance and careful monitoring on the preference of the related customers for a niche market be continued persistently.

• Journal of information and communication convergence engineering
• /
• 제21권1호
• /
• pp.68-74
• /
• 2023

This study examines the response of users' feelings from a gender perspective toward interactive video mobile learning (IVML). An IVML prototype was developed for the Android platform allowing users to install and make use of the app for m-learning purposes. This study aims to measure the level of feelings toward the IVML prototype and examine the differences in gender perspectives, identify the most responsive feelings between male, and female users as prominent feelings and measure the correlation between user-friendly feeling traits as an independent variable in accordance with gender attributes. The feelings response could then be extracted from the user experience, user interface, and human-computer interaction based on gender perspectives using the Kansei engineering approach as the measurement method. The statistical results demonstrated the different emotional reactions from a male and female perspective toward the IVML prototype may or may not have a correlation with the user-friendly trait, perhaps having a similar emotional response from one to another.

• 한국게임학회 논문지
• /
• 제18권2호
• /
• pp.77-88
• /
• 2018

본 연구는 전 세계적으로 가장 인기 있는 온라인 슬롯 게임 Slotomania에 존재하는 슬롯들의 다양한 특징들을 해부한다. Playtika사(社)에서 개발된 Slotomania는 Facebook을 통해 서비스가 되고 있는 소셜 카지노 장르의 게임이다. Slotomania는 소셜 카지노 장르에서 개별 타이틀로 1위에 위치하였으며, 본 연구는 게임에 존재하는 슬롯들의 다양한 특징들을 입체적으로 분석한다. 구체적으로, 1) UI(User Interface) 2) 테마 3) 페이라인 & 베팅 4) 구조 & 심볼 5) 보너스 6) 부가적 특징의 요소들을 탐구한다. 그 결과, "다양성"이 존재하는 것으로 조사 되었다. 이에 따라, 어떻게 그리고 왜 그러한 슬롯들이 사람들에게 매력을 주는지에 대해 조사할 뿐만 아니라, 페이스북 기반의 소셜 카지노 장르의 시장을 탐구한다.

• 한국디자인학회:학술대회논문집
• /
• 한국디자인학회 2004년도 추계 학술발표대회 논문집
• /
• pp.212-213
• /
• 2004

Since the advent of man there has been a constant struggle to define social pattern, and understand ways of cultural thinking. Every culture has it's own limitations and freedoms, problems and expectations. For centuries now anthropologist, ethnographers have worked on mapping and defining these differences. These findings instigate the designers to formulate new design theories and research methodologies for drafting cultural specific solutions. The question arises 'in a cross cultural application how effective and applicable are the basic research methodologies'? Quoting one such example the 'Privacy' issue seems to be a very strong component in the Japanese culture but is often a deterring factor in allowing the 'home ethnographic study to take place effectively'. However in countries like India similar studies could have a more welcoming reaction owing to the adaptive social culture. Similarly, the high rate of 'Illiteracy' in rural India closes many doors for 'form filling' user surveys. This leads to the scope of research for understanding specific cultural traits that may effect adaptation and re-improvisation of these existing methodologies. Quite often the cultural traits of a country may lead in forming new research methodologies.

• 한국시뮬레이션학회논문지
• /
• 제23권4호
• /
• pp.219-228
• /
• 2014

분산 환경에 존재하는 다양한 이기종의 계산 자원은 가상화 기술을 통해 통합된 고성능 컴퓨팅 환경을 구축한다. 최근, 사용자 수준의 향상으로 인해 복잡한 응용 작업의 처리에 대한 요구가 증가하고 있으며, 이는 고성능 컴퓨팅에 대한 수요로 이어지고 있다. 사용자가 요구하는 각각의 작업에는 데이터가 포함되어 있고, 각각의 데이터는 고유의 특성을 가지고 있으므로, 작업의 분류와 처리는 데이터의 특성이 고려되어야 한다. 본 논문에서는 분산 환경에서 계산 자원의 효율 증대를 위한 데이터 특성 기반의 작업 분류방법(JCDT : Job Classifying method based on Data Traits for Increased Efficiency of Computational Resources in Distributed Environment) 을 제안한다. 제안하는 JCDT 는 사용자가 요구하는 작업이 지닌 데이터의 특성을 기반으로 작업을 분류하여, 계산 자원의 효율 증대와 작업 처리속도를 향상시킬 수 있을 것으로 기대한다.

• 한국정보시스템학회지:정보시스템연구
• /
• 제21권3호
• /
• pp.1-22
• /
• 2012

This study aims to investigate the effects of UCC parody content trait on user attitude and e-word of mouth. The conventional methods had two identified factors: UCC content factors - trust, usefulness, and information, and parody content factors - humor, satire, and mockery. It also analyzes the impacts gap in UCC attitude between a high-involvement user and a low-involvement user in UCC contents. In this study, our findings are broadly summarized as follows: first, both trust and information, of UCC content factors, showed a positive impact on UCC attitude; second, both humor and satire, of parody content factors, showed a positive impact on UCC attitude; third, UCC attitude showed a positive impact on e-word of mouth, and both humor and satire were highly correlated to UCC attitude in UCC involvement user groups. In conclusion, this study is expected to give useful suggestions on selecting variables for further studies on UCC parody contents.

• International Journal of Computer Science & Network Security
• /
• 제21권9호
• /
• pp.303-316
• /
• 2021

Digital content protection has recently become an important requirement in biometrics-based authentication systems due to the challenges involved in designing a feasible and effective user authentication method. Biometric approaches are more effective than traditional methods, and simultaneously, they cannot be considered entirely reliable. This study develops a reliable and trustworthy method for verifying that the owner of the biometric traits is the actual user and not an impostor. Watermarking-based approaches are developed using a combination of a color face image of the user and a mobile equipment identifier (MEID). Employing watermark techniques that cannot be easily removed or destroyed, a blind image watermarking scheme based on fast discrete curvelet transform (FDCuT) and discrete cosine transform (DCT) is proposed. FDCuT is applied to the color face image to obtain various frequency coefficients of the image curvelet decomposition, and for high frequency curvelet coefficients DCT is applied to obtain various frequency coefficients. Furthermore, mid-band frequency coefficients are modified using two uncorrelated noise sequences with the MEID watermark bits to obtain a watermarked image. An analysis is carried out to verify the performance of the proposed schema using conventional performance metrics. Compared with an existing approach, the proposed approach is better able to protect multimedia data from unauthorized access and will effectively prevent anyone other than the actual user from using the identity or images.

• 응용통계연구
• /
• 제18권3호
• /
• pp.597-606
• /
• 2005

대개의 표본조사에서 무응답은 필연적으로 발생되고 있고, 직접 표본조사에 참가하지 않은 데이터의 사용자는 무응답의 원인을 알 수 없는 것이 일반적이므로 데이터 분석에 어려움을 갖는다. 또 대부분의 통계분석 방법은 무응답을 전제하지 않고 있어 무응답이 있는 항목은 데이터 분석의 걸림돌이 된다고 하겠다. 최근 무응답에 대해 대체법이 하나의 표준적인 처리 방법이 되고 있어 현재까지 대체법에 대한 많은 연구가 있었으나 대부분의 대체법은 정규성 등을 가정한 연속형 변수의 대체법에 대한 것이었다. 그러나 표본조사에서 많은 중요한 항목들이 순서 범주에 의해 측정되는 경우가 많으므로 범주형변수의 대체법에 대한 연구가 필요하며, 본 연구에서는 보조변수가 있는 경우 Bayesian 모형에 의한 순서범주형 항목의 대체법에 대해 알아본다.

• International Journal of Advanced Culture Technology
• /
• 제6권4호
• /
• pp.309-316
• /
• 2018

The main purpose of this study is to understand how cognitive factors influence the way people interact with information/information systems, by conducting comprehensive and in-depth literature reviews and a theoretical synthesis of related research. Adaptive systems have been built around an individual user's characteristics, such as interests, preferences, knowledge and goals. Individual differences in the ability to use new information and communication technology have been an important issue in all fields. Performance differences in utilizing new information and communication technology are sufficiently predictable that we can begin to coordinate them. Therefore, it is necessary to understand cognitive mechanisms to explain differences between individuals as well as the levels of performance. The theoretical synthesis from this study can be applied to design intelligent (i.e., human friendly) systems in our everyday lives. Further research should explore optimization design for user, by integrating user's individual traits (such as emotion and intent) and system modules to improve the interactions of human-system in data-driven environments.

• International Journal of Computer Science & Network Security
• /
• 제21권11호
• /
• pp.321-327
• /
• 2021

Mobile devices have recently developed to be an integral part of humans' daily lives because they meet business and personal needs. It is challenging to design a feasible and effective user authentication method for mobile devices because security issues and data privacy threats have significantly increased. Biometric approaches are more effective than traditional authentication methods. Therefore, this paper aims to analyze the existing biometric user authentication methods on mobile platforms, particularly those that use face recognition, to demonstrate the methods' feasibility and challenges. Next, this paper evaluates the methods according to seven characteristics: universality, uniqueness, permanence, collectability, performance, acceptability, and circumvention. Last, this paper suggests that solely using the method of biometric authentication is not enough to identify whether users are authentic based on biometric traits.