• Korean journal of food and cookery science
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• v.28 no.1
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• pp.57-66
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• 2012

This study was carried out to investigate the effect of nutritional knowledge on food habits of male employees in Korea. A questionnaire was developed and distributed to 265 male employees of Seoul and Kyunggi area in Korea. The data were analyzed by t-test and ANOVA using SPSS (ver 12.0). Regarding the general aspects of subjects, the highest percent of ages were between the age 21-30 year old. Most respondents were graduates from a university. About twenty percent of male employees' average income was 1-2 million won per month. Most of their families were nuclear families. Eighty three percent of the respondents did not experience any education on nutrition and obtained food and nutritional information from television and internet. The respondents had a high level of perceived knowledge (86.2%); yet, the accuracy of knowledge was lower than the perceived knowledge (72.31%). Regarding the nutritional knowledge, single groups showed a lower score than married groups and groups living with family. Higher nutritional knowledge correlated with higher educational levels, among man in their twenties and thirties. With regards to their eating habits, the frequency of food intake within a weekly period was significantly different; a large percentage of respondents had high frequencies of instant food, alcohol consumption, and smoking. The higher scores regarding dietary habits were for age groups ranging from 41-60 year old, married individuals, nuclear family groups and educational groups with university degrees. Based on the results of this study, male employees have problem concerning food habits in that they are unbalanced and have a tendency to skip meals. Therefore, for the improvement of nutritional status and eating behavior of male employees, the importance of nutrition needs to be emphasized with proper nutritional education programs.

• Korean Journal of Community Nutrition
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• v.4 no.3
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• pp.345-355
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• 1999

This study was intended to provide basic information for nutrition education and meal planning by evaluating the nutritional status, food habits, and food preference of elementary school children with school lunch program and without school lunch program(lunch box). The subjects of this study consisted of 266 elementary school children aged from 10 to 12(136 male, 130 female) in Ulsan the area. The survey was conducted by questionnaires and data were analyzed by SPSS program. The average body weight was $38.4{\pm}6.9kg$ for boys and $36.8{\pm}7.4kg$ for girls and the average heights was $141.3{\pm}5.6cm$ for boys and $141.2{\pm}5.7cm$ for girls. These values were lower than that of the Korean reference. 56.0% of the subjects skip breakfast 1 to 2 times a week, 58.2% of the subjects had prejudice for special food, such as bean, anchovy, and pork. The food habit scores of the subjects was divided into poor(11.7%), fair(63.5%), and good(24.8%). The average score of girl's was significantly(p<150) higher than that of the boy's. Compare to 1/3 of RDA for children, the average intake of nutrients provided lower amounts of all nutrients. Therefore Calcium and vitamin A intakes were especially lower than the others. Therefore the importance of milk and green vegetables must be emphsized to them through nutrition education. Children preferred ssalbab to jabkogbab and liked beef-based soup, and baechu kimchi. There were significant differences in food habit scores with gender, parent's education, and exercise. The results of this study indicate that nutrition education and menu planning program should be applied to elementary school children who are served by the school lunch program.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.23 no.3
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• pp.323-330
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• 2005

More than ten years after the era of GPS-Photogrammetry which could provide us only three projection center of all six exterior orientation parameters, direct georeferencing with GPS/INS is now becoming a standard method for image orientation. Its main advantage is to skip or reduce the indirect ground control process. This paper describes the experimental test results of integrated sensor orientation with a commercial GPS/IMU system to approve its performance in determination of exterior orientation. For this purpose two different imaging blocks were planned and the area was photographed at a large photo scale of 1:5,000 and a medium photo scale of 1:20,000. From these data set a variety of meaningful results was acquired, i.e., the accuracy. potential of exterior orientation from direct georeferencing and combined block adjustment using these data considering different photo scales and conditions.

• 한국정보디스플레이학회:학술대회논문집
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• 2005.07a
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• pp.797-798
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• 2005

We report a novel structure for a full-color AMOLED (Active Matrix Organic Light Emitting Diode) eliminating the patterning process of a blue emitting layer. The patterning of the three primary colors, RGB, is a key technology in the OLED fabrication process. Conventional full color AMOLED containing RGB layers includes the three opportunities of the defects to make an accurate position and fine resolution using various technologies such as fine metal mask, ink-jet printing and laser-induced transfer system. We can skip the blue patterning step by simply stacking the blue layer as a common layer to the whole active area after pixelizing two primary colors, RG, in the conventional small molecular OLED structure. The red and green pixel showed equivalent performances without any contribution of the blue emission.

• Journal of the Korean Dietetic Association
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• v.15 no.1
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• pp.10-21
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• 2009

The objective of this research was to assess the dietary habits, food frequency, and nutrition knowledge of young children who like sweets in the Busan area; the study was conducted using survey method with questionnaires. One hundred eighty three children, aged 8 to 9 years, were divided into two groups: the sweet preference group (SPG) and the control group, based on the subjects' scores for sweets-related dietary habits, sweets preference, and sweets frequency. For dietary habits, the score for eating more snacks than meals was significantly higher in the SPG group than the control group. The SPG group members were also more likely to skip breakfast, have irregular meals, and consume instant and fast food more frequently (p<0.001) than the control group. Nutrition knowledge scores for proper snack intake and proper dietary attitude were significantly lower in the SPG than in the control group (p < 0.05). With regard to food frequency, the SPG consumed more bread, cake, chicken, ham, sausage, hamburger, and ice cream, but less fish, tofu, beans, kimchi, bean sprouts, and milk than the control group. Strong positive correlations were noted between sweets preference, sweets frequency, and sweets-related dietary habits, whereas all of them were correlated negatively with nutritional knowledge. Sweets frequency was related negatively to meal regularity, having breakfast, eating the adequate amount of meals, and recommended food frequency.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.1061-1070
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• 2021

In this manuscript, we tried to improve the performance of the FC-DenseNet by applying an attention gate for the classification of cropping areas. The attention gate module could facilitate the learning of a deep learning model and improve the performance of the model by injecting of spatial/spectral weights to each feature map. Crop classification was performed in the onion and garlic regions using a proposed deep learning model in which an attention gate was added to the skip connection part of FC-DenseNet. Training data was produced using various PlanetScope satellite imagery, and preprocessing was applied to minimize the problem of imbalanced training dataset. As a result of the crop classification, it was verified that the proposed deep learning model can more effectively classify the onion and garlic regions than existing FC-DenseNet algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.7
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• pp.1726-1748
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• 2024

Trajectory planning is vital for autonomous systems like robotics and UAVs, as it determines optimal, safe paths considering physical limitations, environmental factors, and agent interactions. Recent advancements in trajectory planning and future location prediction stem from rapid progress in machine learning and optimization algorithms. In this paper, we proposed a novel framework for Spatial-temporal transformer-based feed-forward neural networks (STTFFNs). From the traffic flow local area point of view, skip-gram model is trained on trajectory data to generate embeddings that capture the high-level features of different trajectories. These embeddings can then be used as input to a transformer-based trajectory planning model, which can generate trajectories for new objects based on the embeddings of similar trajectories in the training data. In the next step, distant regions, we embedded feedforward network is responsible for generating the distant trajectories by taking as input a set of features that represent the object's current state and historical data. One advantage of using feedforward networks for distant trajectory planning is their ability to capture long-term dependencies in the data. In the final step of forecasting for future locations, the encoder and decoder are crucial parts of the proposed technique. Spatial destinations are encoded utilizing location-based social networks(LBSN) based on visiting semantic locations. The model has been specially trained to forecast future locations using precise longitude and latitude values. Following rigorous testing on two real-world datasets, Porto and Manhattan, it was discovered that the model outperformed a prediction accuracy of 8.7% previous state-of-the-art methods.

• Korean Journal of Rural Living Science
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• v.5 no.2
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• pp.135-144
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• 1994

This study was carried out to investigate health status and nutritional status based on dietary intake and food habit of elderly women in rural area of Keyonggi Province. The subject of this study were 133 elderly women aged 60 and over and interviewed with a questionaire. Main result was as follows : 1) Health score based on modified Cornell Medical Index, CMI(45 out of 195 items) was the average $29.1\pm6.8$ and was not significantly different with family size educational level and farmwork participation. In age, 44.0% of the subject in 60~65 years old was low score of CMI(11~25), but 50% of the subject in older than 80 years old was high score(33~44). The subject with disease was 82% and disease of musculoskeletal system was main type. 2) Dietary intake data obtained by a semiquantitative food frequency questionaire showed the average daily intake of energy, protein, Ca, retinol and riboflavin was lower than RDA Daily energy, protein and Ca intake was individually 84%, 67% and 55.1%. It was retinol that was the least sufficient as 49.1% of RDA. 3) The relation between CMI score(divided into three level : low, middle and high) showed low level was significantly different with others according to daily intake of energy, protein, retinol, thiamin, riboflavin and ascorbic acid. The correlation between CMI score and all nutrient intake were highly significant (p＜0.001), thus we knew that health status was affected importantly by nutrient intake. 4) Family size, educational level and age showed not significant correlation with all nutrient intake. 5) In food habit, 84.8% of the subject had regular mealtime and 14.4% were skip meal sometimes. The main reason of skip meal was a poor appetite. Preference for salty taste of subject was insufficiently salty of somewhat salty. Preference for fishes and meats showed the subject consumed fishes more than meats, but 23.5% of the subject didn't consume both. The subject eaten supplement was 38.3%.

• Journal of Korean Home Economics Education Association
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• v.33 no.3
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• pp.41-63
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• 2021

The purpose of this study was to investigate the nutritional knowledge and eating behavior of middle school students in Gwangju area in order to provide basic data for the development of home economics curriculum that can help the students form healthy eating habits. For this purpose, a self-administered questionnaire was distributed to middle school students in Gwangju area. A total of 330 questionnaires were collected by convenience sampling and analyzed using SPSS(Statistics Package for the Social Science) Version 20.0 for Windows. Results of this study are as follows. First, school curriculum session ranked top(31.82%) on the list of sources for middle school students to acquire nutrition knowledge. Second, the mean score of nutrition knowledge of all respondents was moderately high(14.33 points out of maximum 20 points). In terms of nutrition knowledge by gender, female students had a higher level of nutrition knowledge in the 'Food' domain than their male counterparts(p<0.05). With regard to nutrition knowledge by grade, Grade 9 showed a higher score than Grade 7 and 8(p<0.001). Third, the mean score of eating behavior of all respondents was at an average level(69.75 out of 100 points). In terms of eating behavior by gender, male students showed a higher score than their female counterparts(p<0.05). In particular, male students had higher scores than female students for the following items: "I exercise regularly after school"(p<0.001); "I regularly eat meal three times per day"(p<0.01); "I don't skip breakfast"(p<0.01); and "I don't eat sweet food often"(p<0.01). In terms of eating behavior by grade, Grade 9 showed higher scores than Grades 7 and 8 for the following items: "I eat meal out of thankfulness for those who have prepared food"(p<0.01) and "I eat grains for every meal"(p<0.01). Finally, with regard to eating behavior depending on the level of nutrition knowledge, the 'Upper' and 'Middle' groups had higher scores for eating behavior than the 'Lower' group, indicating that a lower level of nutrition knowledge resulted in a lower score in eating behavior. Based on the above results, home economics teachers responsible for dietary education should have a greater sense of mission and pride and make more efforts to improve nutrition knowledge and eating behavior of middle school students.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.5
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• pp.54-63
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• 2000

We present a multi-resolution block matching algorithm (BMA) for fast motion estimation At the coarsest level, a motion vector (MV) having minimum matching error is chosen via a full search, and a MV with minimum matching error is concurrently found among the MVs of the spatially adjacent blocks Here, to examine the spatial MVs accurately, we propose an efficient method for searching full resolution MV s without MV quantization even at the coarsest level The chosen two MV s are used as the initial search centers at the middle level At the middle level, the local search is performed within much smaller search area around each search center If the method used at the coarsest level is adopted here, the local searches can be done at integer-pel accuracy A MV having minimum matching error is selected within the local search areas, and then the final level search is performed around this initial search center Since the local searches are performed at integer-pel accuracy at the middle level, the local search at the finest level does not take an effect on the overall performance So we can skip the final level search without performance degradation, thereby the search speed increases Simulation results show that in comparison with full search BMA, the proposed BMA without the final level search achieves a speed-up factor over 200 with minor PSNR degradation of 02dB at most, under a normal MPEG2 coding environment Furthermore, our scheme IS also suitable for hardware implementation due to regular data-flow.