• Journal of the Korean Dietetic Association
• /
• v.26 no.4
• /
• pp.269-277
• /
• 2020

The perception volume, intake volume, and satiety rate of rice, soup, and side dishes using tableware and food trays were analyzed. Rice, beef, soup, and side dishes in tableware (1^st week) and the same menu in food trays (2^nd week) were served to twenty-nine female college students over two consecutive weeks (BMI 22.1 kg/㎡, Age 22.9 yr). The results showed that the perceived volume of soup served in tableware was significantly higher than when served in a food tray. On the other hand, except for the perception volume of soup (tableware: 174.80±19.40 g, food tray: 136.14±12.77 g, P<0.05), there was no significant difference in the food perception volume and food intake volume using tableware and food trays between the two groups. The satiety rate of the food tray group (6.68) was significantly higher than that of the tableware group (7.42) after one hour (P<0.05). However, except after one hour, the two groups' satiety rate showed a similar pattern. In most of the comparisons, the results showed no difference between table ware and food trays. Besides, the use of food trays has advantages in terms of easy to manage and convenience. Therefore, food trays might be a better option instead of a tableware.

• Journal of the Korea Safety Management & Science
• /
• v.6 no.3
• /
• pp.211-235
• /
• 2004

Component based design is perceived as a key technology for developing advanced real-time systems in a both cost- and time effective manner. Already today, component based design is seen to increase software productivity, by reducing the amount of effort needed to update and maintain systems, by packaging solutions for re-use, and easing distribution. Nowdays, a thousand and one companies in If(Information Technology) industry such as Sl(System Integration) and software development companies, regardless of scale of their projects, has spent their time and endeavor on developing reusable business logic. The component software is the outcome of software developers effort on overcoming this problem; the component software is the way propositioned for quick and easy implementation of software. In addition, there has been lots of investment on researching and developing the software development methodology and leading If companies has released new standard technologies to help with component development. For instance, COM(Component Object Model) and DCOM(Distribute COM) technology of Microsoft and EJB(Enterprise Java Beans) technology of Sun Microsystems has turned up. Component-Based Development (CBD) has not redeemed its promises of reuse and flexibility. Reuse is inhibited due to problems such as component retrieval, architectural mismatch, and application specificness. Component-based systems are flexible in the sense that components can be replaced and fine-tuned, but only under the assumption that the software architecture remains stable during the system's lifetime. In this paper, It suggest that systems composed of components should be generated from functional and nonfunctional requirements rather than being composed out of existing or newly developed components. about implements and accomplishes the modeling for the Product Control component development by applying CCD(Contract-Collaboration Diagram), one of component development methodology, to MRP(Material Requirement Planning) System

• Asia pacific journal of information systems
• /
• v.22 no.4
• /
• pp.75-99
• /
• 2012

Innovation can come from inside or outside organizations. Recently, organizations have begun turning to external knowledge more often, through various forms of collective intelligence (CI) as collaborative platform to solve complex problems. Several factors facilitate this CI utilization phenomenon. First, with the rapid development of Internet and social media, numerous web applications have become available to millions of the Internet users over the past few decades. Web 2.0 and social media have become innovative web applications that provide an environment for human social interaction and collaboration. Second, the diffusion of simple and easy-to-use technologies that enable users to interact and design web applications without programming skills have led to vast, previously unknown amounts of user-generated content. Finally, the Internet has enabled communities to connect and collaborate, creating a virtual world of CI. In this study, web enabled CI is defined as a composed ability of individuals who are acting as a single cognitive unit to achieve common goals, think reasonably, solve problems, make decisions, carry out complex tasks, and develop creative ideas collectively through participation and collaboration on the web. Although CI plays a critical role in organizational innovation and collaboration, the dubious quality of CI is still problem that is difficult to solve. In general, the quality level of content collected from the crowd is lower than that from professionals. Thus, it is important to identify determinants of CI quality and to analyze the relationship between CI quality and its usefulness. However, there is a lack of empirical study on the quality factors of web-enabled CI. There exist a variety of web enabled CI sites such as Threadless, iStockphoto or InnoCentive, Wikipedia, and Youtube. One of the most successful forms of web-enabled CI is the Wikipedia online encyclopedia, accessible all over the world. Another one example is Naver KnowledgeiN, a typical and popular CI site offering question and answer (Q&A) services. It is necessary to study whether or not different types of CI have a different effect on CI quality and its usefulness. Thus, the purpose of this paper is to answer to following research questions: ${\bullet}$ What determinants are important to CI quality? ${\bullet}$ What is the relationship between CI quality factors and the usefulness of web-enabled CI? ${\bullet}$ Does CI type have a moderating effect on the relationship between CI quality, its determinants, and CI usefulness? Online survey using Google Docs with email and Kakao Talk was conducted for collecting data from Wikipedia and Naver KnowledgeiN users. A totoal of 490 valid responses were collected, where users of Wikipedia were 220 while users of Naver KnowledgeiN were 270. Expertise of contributors, community size, and diversity of contributors were identified as core determinants of perceived CI quality. Perceived CI quality has significantly influenced perceived CI usefulness from a user's perspective. For improving CI quality, it is believed that organizations should ensure proper crowd size, facilitate CI contributors' diversity and attract as many expert contributors as possible. Hypotheses that CI type plays a role of moderator were partially supported. First, the relationship between expertise of contributors and perceived CI quality was different according to CI type. The expertise of contributors played a more important role in CI quality in the case of Q&A services such as Knowledge iN compared to wiki services such as Wikipedia. This implies that Q&A service requires more expertise and experiences in particular areas rather than the case of Wiki service to improve service quality. Second, the relationship between community size and perceived CI quality was different according to CI type. The community size has a greater effect on CI quality in case of Wiki service than that of Q&A service. The number of contributors in Wikipeda is important because Wiki is an encyclopedia service which is edited and revised repeatedly from many contributors while the answer given in Naver Knowledge iN can not be corrected by others. Finally, CI quality has a greater effect on its usefulness in case of Wiki service rather than Q&A service. In this paper, we suggested implications for practitioners and theorists. Organizations offering services based on collective intelligence try to improve expertise of contributeros, to increase the number of contributors, and to facilitate participation of various contributors.

• Journal of Korea Technology Innovation Society
• /
• v.10 no.3
• /
• pp.486-508
• /
• 2007

This study identifies key determinants of participation in UCC services. Incorporating insights from the flow theory, we examine the effects of psychological factors of social presence, self expression, arousal, and challenge as well as web-site characteristics variables of media easiness, contents usability, and immediateness. We have done a sample survey of internet users and collected 260 responses. Using Windows SPSS/PC 12.0 Package, we have performed statistical analyses including a correlation analysis, a factor analysis, and a multiple regression analysis. The result of the study is as follows. Psychological variables of perceived social presence, self expression, arousal, and challenge all show positive significant effect on participation in UCC service. Among web site characteristics, media easiness, which consists of a web structure that is easy-to-use, user friendliness, and personalized service, demonstrates a positive significant effect on participation in UCC services. Immediateness also has a positive significant effect. Some of the practical implications of the result are follows. We should improve user access to platforms of UCC service by opening up platforms. This will heighten perceived challenge which has the strongest influence on participation in UCC services. We need to focus on multimedia services and adjust to the cultural code of netizen who crave for visual expressions and on the spot on-line activities. Also suggested is that contributions made by participants need to be acknowledged through such provisions as profit sharing. Needs for individualized service, which is an aspect of media easiness, should also be addressed. Participants tend to value individuality while at the same time accepting broader trends. Information services need to be customized for individuals. In UCC centered internet businesses, netizen consumers are presumer. They are consumers and producers at the same time, and consumer needs should also be explored for the success of internet businesses.

• Communications for Statistical Applications and Methods
• /
• v.17 no.3
• /
• pp.459-471
• /
• 2010

Higher quality level is generally perceived by customers as improved performance by assigning a correspondingly higher satisfaction score. Usually, the quality level is measured by process capability indices. The index is used to determine whether a production process is capable of producing items within a specified tolerance. The third generation index $C_{pmk}$ is more powerful than two useful indices $C_p$ and $C_{pk}$. which have been widely used in six sigma industries to assess process performance. Most evaluations on process capability indices focus on point estimates, which may result in unreliable assessments of process performance. In this paper, we consider better testing procedure on assessing process capability index $C_{pmk}$ for practitioners to use in determining whether a given process is capable. It is easy to use the proposed method for assessing process capability index $C_{pmk}$. Whether a process is clearly normal or nonnormal, our bootstrap testing procedure could be applied effectively without the complexity of calculation. A numerical result based on our proposed method is illustrated.

• Communications for Statistical Applications and Methods
• /
• v.15 no.3
• /
• pp.451-464
• /
• 2008

Six sigma is the rating that signifies "best in clas", with only 3.4 defects per million units or operations. Higher sigma quality level is generally perceived by customers as improved performance by assigning a correspondingly higher satisfaction score. The process capability indices and the sigma level $Z_{st}$ have been widely used in six sigma industries to assess process performance. Most evaluations on process capability indices focus on point estimates, which may result in unreliable assessments of process performance. In this paper, we consider statistical inference for process capability indices $C_p$, $C_{pk}$ and $C_{pm}$. Also, we study better testing procedure on assessing sigma level $Z_{st}$ and capability index $C_{pm}$, for practitioners to use in determining whether a given process is capable. The proposed method is easy to use and the decision making is more reliable. Whether a process is clearly normal or nonnormal, our bootstrap testing procedure could be applied effectively without the complexity of calculation. A numerical result based on our proposed method is illustrated.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.30-31
• /
• 2009

Early detection of schedule delay in field construction activities is vital to project management. It provides the opportunity to initiate remedial actions and increases the chance of controlling such overruns or minimizing their impacts. This entails project managers to design, implement, and maintain a systematic approach for progress monitoring to promptly identify, process and communicate discrepancies between actual and as-planned performances as early as possible. Despite importance, systematic implementation of progress monitoring is challenging: (1) Current progress monitoring is time-consuming as it needs extensive as-planned and as-built data collection; (2) The excessive amount of work required to be performed may cause human-errors and reduce the quality of manually collected data and since only an approximate visual inspection is usually performed, makes the collected data subjective; (3) Existing methods of progress monitoring are also non-systematic and may also create a time-lag between the time progress is reported and the time progress is actually accomplished; (4) Progress reports are visually complex, and do not reflect spatial aspects of construction; and (5) Current reporting methods increase the time required to describe and explain progress in coordination meetings and in turn could delay the decision making process. In summary, with current methods, it may be not be easy to understand the progress situation clearly and quickly. To overcome such inefficiencies, this research focuses on exploring application of unsorted daily progress photograph logs - available on any construction site - as well as IFC-based 4D models for progress monitoring. Our approach is based on computing, from the images themselves, the photographer's locations and orientations, along with a sparse 3D geometric representation of the as-built scene using daily progress photographs and superimposition of the reconstructed scene over the as-planned 4D model. Within such an environment, progress photographs are registered in the virtual as-planned environment, allowing a large unstructured collection of daily construction images to be interactively explored. In addition, sparse reconstructed scenes superimposed over 4D models allow site images to be geo-registered with the as-planned components and consequently, a location-based image processing technique to be implemented and progress data to be extracted automatically. The result of progress comparison study between as-planned and as-built performances can subsequently be visualized in the D4AR - 4D Augmented Reality - environment using a traffic light metaphor. In such an environment, project participants would be able to: 1) use the 4D as-planned model as a baseline for progress monitoring, compare it to daily construction photographs and study workspace logistics; 2) interactively and remotely explore registered construction photographs in a 3D environment; 3) analyze registered images and quantify as-built progress; 4) measure discrepancies between as-planned and as-built performances; and 5) visually represent progress discrepancies through superimposition of 4D as-planned models over progress photographs, make control decisions and effectively communicate those with project participants. We present our preliminary results on two ongoing construction projects and discuss implementation, perceived benefits and future potential enhancement of this new technology in construction, in all fronts of automatic data collection, processing and communication.

• Korean Journal of Community Nutrition
• /
• v.20 no.3
• /
• pp.165-177
• /
• 2015

Objectives: Based on individual and environmental characteristics of low-income children, we developed a nutrition education program for school-aged children from low-income families according to effective use in social welfare centers. Methods: We conducted in-depth group interviews to assess program needs in 28 participants, 10 low-income school-aged children and 9 of their care givers, 9 social workers and 9 care-givers. Theoretical backgrounds of our program were heath belief model and social cognitive theory considering motivation, action and environment characteristics. Results: Based on the findings of this qualitative study, we developed major program themes and contents. Five selected key themes were 'balanced diet', 'processed food', 'food hygiene and safety', 'Korean healthy traditional diet', and 'family cooking' to induce changes in dietary behaviors. Main findings of in-depth group interviews included 'child's active participation', 'simple and easy to understand messages', and 'environmental constraints' such as a lack of child care at home, limited budget of social welfare centers, and less qualified educators for nutrition and health. Each lesson was constructed as a 1-hour program particularly emphasizing activity-based programs, including cooking and teamwork exercises. Program contents in each session consisted of activities that could induce outcome and value expectations, self-efficacy, perceived benefits, and barriers and cues to actions regarding diet behavior. Conclusions: We developed a nutrition education programthat is rarely available for low-income children in Korea, considering theoretical bases. Further studies are needed to validate our program.

• Journal of Korea Technology Innovation Society
• /
• v.12 no.3
• /
• pp.662-686
• /
• 2009

Lately innovation is perceived as a systemic, horizontal phenomenon and requires a new governance for innovation. Subsequently, broader societal questions enter the domain of innovation policy and coordination and integration between innovation policy and various other policy domains, such as economic, educational, social, regional and environmental policies become crucial. Definitions of policy integration include terms such as coherence, cooperation, coordination and put great emphasis on joint working to promote synergies among policies and reduce duplication and the use of the same goals to formulate policy. As innovation capabilities of the private sector have improved and it has become unclear who to catch up with, the Korean government, a leading player in the process of "catch-up," is likely to have more difficulties in maintaining the old way of planning and executing policies. The Korean government is now under the pressure of planning technologies and policies that do not allow any easy imitation or copy of other advanced countries longer, which in turn reveals various limits of the existing policy framework. Policy integration involves a continual process demanding changes in political, organizational and procedural activities. To ensure long term and cross sectoral innovation policy, overall change and improvement in policy and its implementation needed in terms of political commitments, governance systems, policy instruments and monitoring, and evaluation systems.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.2
• /
• pp.343-348
• /
• 2022

This study aims to analyze the user experience of unmanned checkout counters perceived by consumers using SNS big data. For this study, blogs, news, intellectuals, cafes, intellectuals (tips), and web documents were analyzed on Naver and Daum, and 'unmanned checkpoints' were used as keywords for data search. The data analysis period was selected as two years from January 1, 2020 to December 31, 2021. For data collection and analysis, frequency and matrix data were extracted through Textom, and network analysis and visualization analysis were conducted using the NetDraw function of the UCINET 6 program. As a result, the perception of the checkout counter was clustered into accessibility, usability, continuous use intention, and others according to the definition of consumers' experience factors. From a supplier's point of view, if unmanned checkpoints spread indiscriminately to solve the problem of raising the minimum wage and shortening working hours, a bigger employment problem will arise from a social point of view. In addition, institutionalization is needed to supply easy and convenient unmanned checkout counters for the elderly and younger generations, children, and foreigners who are not familiar with unmanned calculation.