• Journal of the East Asian Society of Dietary Life
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• v.21 no.1
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• pp.118-124
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• 2011

The purpose of this study was to evaluate the menu of meal boxes delivered to low-income children during summer vacation. Out of 114 questionnaires distributed nationwide concerning lunch menus during summer vacation of 2008, 51 (44.7% response rate) were returned. A total of 170 daily lunch menus consisting of 5 day menus from 34 organizations (29.8% analysis rate) were analyzed after excluding 16 organizations that delivered side dishes only and one organization that provided menus of less than 5 days. The mean numbers of dishes and food items in the menus were five and eight, respectively. Over two-thirds (67.1%) of the lunch box menus included only three food groups: grain, meat and vegetable. Only 2% of the menus included all five food groups, grain, meat, vegetable, fruit, and dairy products. In general, the menus tended to lack fruits and dairy products; the percentages of the menus not including fruits and dairy products reached 89% and 77%, respectively. The average number of dishes, distribution of food group patterns, and average dietary diversity scores of the menus were significantly different according to reimbursement rate. The organizations receiving reimbursement of 3,500 won were more likely to include diverse food groups than those receiving 3,000 won although most of the menus were not proper in terms of food diversity anyway. These results suggest that lunch box menus for low-income children can be improved, in particular, by including more diverse food groups.

• Korean Journal of Community Nutrition
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• v.28 no.6
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• pp.449-465
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• 2023

Objectives: This study aimed to analyze menu patterns and food group diversity in daycare centers managed by the Center for Children's Foodservice Management in South Korea. Methods: Data from 18 Center for Children's Foodservice Management centers across various provinces (excluding Jeju Island) were analyzed. We examined 8,796 meals served in February, May, August, and December 2021, focusing on seasonal lunch and snack menus for children aged 3-5. Foods were categorized into 19 groups for lunch and 21 for snacks. The frequency of food groups and dietary patterns were assessed using the Dietary Diversity Score. Analyses were conducted using Excel 2016 and IBM SPSS Statistics version 28. Results: Most lunch menus (89%) included five menu items, with a ratio of grain, meat, and vegetables at 88%. Snack menus typically had one item (57%), with significantly more items in the afternoon compared to the morning (P < 0.001). Regarding snack patterns, 75.2% of morning snacks and 61.1% of afternoon snacks contained only one solid food and drink (P < 0.001). Fruit and milk (22.4%) was the most prevalent pattern in morning snacks, while grain and milk (31%) dominated afternoon snacks (P < 0.001). Only 48% of daycare center menus (all snacks and lunch) included all five food groups (grain, meat, vegetables, fruit, and milk). Notably, only 83% included milk and 57% included fruit. Conclusions: These findings highlight the need to improve food variety and diversity in the Center for Children's Foodservice Management-managed daycare center menus. Developing more detailed guidelines for menu structure and food composition is crucial to ensure children receive balanced and diverse nutrition.

• Journal of the Korean Society of Food Culture
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• v.20 no.6
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• pp.668-674
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• 2005

This study was carried out to investigate preference and perception of seafood among soldiers on cook's duty in military meal service. 58.9% of the respondents answered that they liked seafood and the major eating place were in their home(48.0%) and in the restaurant(40.4%). The favorite seafood cooking methods turned out to eat as raw fish, to grill, to stew, to fry in order. In comparison with the meat dishes, seafoods were considered superior to meat in nutritional value but evaluated inferior to meat in the aspects of sanitation and tasteless problem. 32.9% of the respondents answered they liked seafood dishes in military meal service and they disliked them because of taste or cooking method of the seafood. They liked fried or grilled seafood in military meal service. The plate waste amounts of the seafood menu were more than half in almost every surveyed menu and reasons for plate waste were fish smell and taste problems. The difficulties of cooking seafood in military meal service were breaking down of seafood during cooking and complexity of cooking. They scored seafood higher than average in nutrition, taste, diversity of cooking method and aspect of health. On the basis of the results above, introducing diverse cooking methods and menu are suggested and education of cooking skills and development of cooking facilities are needed in military meal service.

• The Korean Journal of Food & Health Convergence
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• v.9 no.4
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• pp.19-23
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• 2023

The integration of ChatGPT, an AI-powered language model, is causing a profound transformation within the food industry, impacting various domains. It offers novel capabilities in recipe creation, personalized dining, menu development, food safety, customer service, and culinary education. ChatGPT's vast culinary dataset analysis aids chefs in pushing flavor boundaries through innovative ingredient combinations. Its personalization potential caters to dietary preferences and cultural nuances, democratizing culinary knowledge. It functions as a virtual mentor, empowering enthusiasts to experiment creatively. For personalized dining, ChatGPT's language understanding enables customer interaction, dish recommendations based on preferences. In menu development, data-driven insights identify culinary trends, guiding chefs in crafting menus aligned with evolving tastes. It suggests inventive ingredient pairings, fostering innovation and inclusivity. AI-driven data analysis contributes to quality control, ensuring consistent taste and texture. Food writing and marketing benefit from ChatGPT's content generation, adapting to diverse strategies and consumer preferences. AI-powered chatbots revolutionize customer service, improving ordering experiences, and post-purchase engagement. In culinary education, ChatGPT acts as a virtual mentor, guiding learners through techniques and history. In food safety, data analysis prevents contamination and ensures compliance. Overall, ChatGPT reshapes the industry by uniting AI's analytics with culinary expertise, enhancing innovation, inclusivity, and efficiency in gastronomy.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.4
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• pp.281-293
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• 2023

This study addresses the optimal design methodology for switching between active electronically scanned array (AESA) radar operating modes to easily select the necessary information to reduce pilots' cognitive load and physical workload in situations where diverse and complex information is continuously provided. This study presents a procedure for defining a hidden Markov chain model (HMM) for modeling operating mode changes based on time series data on the operating modes of the AESA radar used by pilots while performing mission scenarios with inherent uncertainty. Furthermore, based on a transition probability matrix (TPM) of the HMM, this study presents a mathematical programming model for proposing the optimal structural design of AESA radar operating modes considering the manipulation method of a hands on throttle-and-stick (HOTAS). Fighter pilots select and activate the menu key for an AESA radar operation mode by manipulating the HOTAS's rotary and toggle controllers. Therefore, this study presents an optimization problem to propose the optimal structural design of the menu keys so that the pilot can easily change the menu keys to suit the operational environment.

• Journal of the East Asian Society of Dietary Life
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• v.5 no.1
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• pp.75-86
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• 1995

This study was undertaken to provide useful information to restaurant managers by analyzing eating out behavior and the diverse needs and wants of the people residing in the Seoul area. four hundred twenty-seven(427) people were sampled for this study and classified into three groups : housewives, salarymen and college students. The results of this study are as follows : (10 Among the groups, there were significant differences in general eating out behavior such as 'frequency' 'preferred food style' and 'who pays the check' among others. (2) The study showed housewives listing 'special occasion' as 'taking care of meal' (3) All groups considered 'price' as especially important. (4) When selecting a menu item, taste was considered most important by all groups. Housewives showed nutritional value to be important while salarymen chose the same item as companions an college students showed 'portions' and 'price' to be important. (5) degree of satisfaction of restaurants were found to be low with items such as ' price'. 'range of menu choices' and 'courteousness of employees' being relatively low.

• Culinary science and hospitality research
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• v.1
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• pp.25-55
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• 1995

The Korea food service industry, in its external shape, is growing explosively, along with the foreign brand's great influx. The domestic food service industry is loosing the competition against the foreign due to its poor development in human resources, marketing techniques and the menu. To actively compete with the foreign brands that runs with the developed management skills and enough fund, the domestic should classify the customers first and develop the menu. Also classified customers need diverse atmospheres to be satisfied. In addition to improve and specialize the quality of the service, there must be enough education for sure. Introducing foreign brands toward the domestic market doesn't help. In here, it is too crowded. We must try the international market with revised traditional and even foreign foods. The government needs to develop more effective and material polices, at the same time they abolish legal and systematic regulation.

• Journal of Biomedical Engineering Research
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• v.8 no.2
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• pp.118-122
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• 1987

The medical image processing system is intended for a diverse set of users in the medical Imaging Parts. This system consists of a 640 Kbyte IBM-PC/AT with 30 Mbyte hard disk, special purpose image processor with video input devices and display monitor. Image may be recorded and processed in real time at sampling rate up to 10 MHz. This system provides a wide range of image enhancement processing facilities via a menu-driven software packages. These facilities include point by point processing, image averaging, convolution filter and subtraction.

• Genomics & Informatics
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• v.10 no.4
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• pp.263-265
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• 2012

We developed a user-friendly, interactive program to simultaneously cluster and visualize omics data, such as DNA and protein array profiles. This program provides diverse algorithms for the hierarchical clustering of two-dimensional data. The clustering results can be interactively visualized and optimized on a heatmap. The present tool does not require any prior knowledge of scripting languages to carry out the data clustering and visualization. Furthermore, the heatmaps allow the selective display of data points satisfying user-defined criteria. For example, a clustered heatmap of experimental values can be differentially visualized based on statistical values, such as p-values. Including diverse menu-based display options, QCanvas provides a convenient graphical user interface for pattern analysis and visualization with high-quality graphics.

• Journal of the Ergonomics Society of Korea
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• v.34 no.3
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• pp.247-264
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• 2015

Objective: The purpose of this study is to determine the priority of information presentation and the effective menu type to be placed in the center of a gauge cluster display for commercial trucks and to present a set of ergonomic designs for the gauge cluster display. Background: An effective ergonomic design is specifically needed for the development of the gauge cluster display for the commercial trucks, because more diverse and heavier information is delivered to truck drivers, compared to the information to passenger car drivers. Method: First, all the information that must be shown on the commercial truck display was collected. Then, the severity, frequency of use, and display design parameters were evaluated for those information by commercial truck drivers. Next, an analysis on the information attributes and the heuristic evaluation utilizing the display design principles were carried out. According to the results, a design alternative of the main screen to be displayed was constructed by priority. A comparative analysis between the alternative and existing main screens was also conducted to see the efficacy of the designs. Lastly, we conducted an experiment for the selection of menu type. The experiment was conducted using the driving simulator with an eye-tracking device. The independent variables were four types of the menu reflecting the commercial truck characteristics such as grid type, icon type, list type, and flow type. We measured preference, total execution time, the total duration of fixation on the gauge cluster area, and the total number of fixation on the gauge cluster area as dependent variables. Results: Four types of driver convenience information and six types of driver assistance information were selected as the information to be placed primarily on the main screen of the gauge cluster. The Grid type was the most effective among the menu types. Conclusion: In this study, the information that appears on the main screen of the display, the division of the display and the design of the menu type for commercial truck drivers were suggested. Application: This study is expected to be utilized as guidelines on the ergonomic design of a gauge cluster display for commercial trucks.