• Korean Journal of Community Nutrition
• /
• v.5 no.4
• /
• pp.586-597
• /
• 2000

The nutrition knowledge and food attitude of obese children were assessed and compared with their normal children counterparts to provide information for nutrition education programs. One hundred forty six obese children and 92 normal children from the fourth to sixth grade in Bucheon and Anyang elementary schools of Kyeong-gi Province were selected for the study. A multiple choice questionnaire, including 12 items of general nutrition knowledge and 13 items of weight control, were used to test the nutrition knowledge of children. The results of this study are as follows : 1) 57.5% of male and 40.9% of female obese children had experience with weight control, but the rate of correct answers on the nutrition knowledge test ranged from 53% to 58%, which does not show any significant difference between the two groups. The rate of correct answers on items conrerning 'general nutrition knowledge' and 'nutrition knowledge for weight control' did not show any significant difference among the two groups. 2) Obese male students showed a higher rate of correct answers(59.2%) on items of 'the proper food selection for obese children', compared with their counterparts and also obese female students showed a higher rate of correct answers(88.6%) on 'physical exercise', compared with their counterparts. 3) The rate of correct answers on nutrition knowledge of 'basic food groups', 'the functions of iron and vitamins', 'the concept of energy', and 'the principle of weight change' were lower than 40%. 4) The obese children frequently did not have breakfast, overate during lunch in many cases, and had low recognition on knowledge that was necessary to weight control. 5) Only 30.9% and 22.7% of male and female obese children replied that they would participate in weight control programs. However, 53.6% of males and 68.2% of females did not show any concern in participating the programs. From these results, it was suggested that it is necessary to motivate the obese to participate in weight-control program. When developing nutrition education programs for the obese, the contents of the questions that showed a low correct answering rates should be emphasized.

• Journal of Biosystems Engineering
• /
• v.41 no.4
• /
• pp.408-417
• /
• 2016

Purpose: Yield monitoring systems are an essential component of precision agriculture. They indicate the spatial variability of crop yield in fields, and have become an important factor in modern harvesters. The objective of this paper was to review research trends related to yield monitoring sensors for grain crops. Methods: The literature was reviewed for research on the major sensing components of grain yield monitoring systems. These major components included grain flow sensors, moisture content sensors, and cutting width sensors. Sensors were classified by sensing principle and type, and their performance was also reviewed. Results: The main targeted harvesting grain crops were rice, wheat, corn, barley, and grain sorghum. Grain flow sensors were classified into mass flow and volume flow methods. Mass flow sensors were mounted primarily at the clean grain elevator head or under the grain tank, and volume flow sensors were mounted at the head or in the middle of the elevator. Mass flow methods used weighing, force impact, and radiometric approaches, some of which resulted in measurement error levels lower than 5% ($R^2=0.99$). Volume flow methods included paddle wheel type and optical type, and in the best cases produced error levels lower than 3%. Grain moisture content sensing was in many cases achieved using capacitive modules. In some cases, errors were lower than 1%. Cutting width was measured by ultrasonic distance sensors mounted at both sides of the header dividers, and the errors were in some cases lower than 5%. Conclusions: The design and fabrication of an integrated yield monitoring system for a target crop would be affected by the selection of a sensing approach, as well as the layout and mounting of the sensors. For accurate estimation of yield, signal processing and correction measures should be also implemented.

• The KIPS Transactions:PartB
• /
• v.13B no.2 s.105
• /
• pp.97-104
• /
• 2006

There is no method to control for the child efficiently when disease happens who cannot be able to express his symptoms. Therefore, doctor's diagnosis depends on inquiring from child's patients, that leads to wrong diagnosis result. For this, in this paper, we would like to develop child ocular inspection, auscultation diagnosis instruments, using Oriental medicine principle that living body signal of five organs and six hallow organs which reflects patients face and voice We would like to get more accurate diagnosis result for child's symptoms from doctor's intuition on the basis of diagnostic sight visualization, objectification, quantization itself. This paper develops color revision, YCbCr application, and face color selection and five sensory organs and nose or apex extraction method etc, in child ocular inspection by first work achievement sequence among the whole development systems. Also, in occasion of child auscultation, crying characteristics of colics through pitch, intensity and formant analysis is numerized and objectifies doctor's intuition through this. Finally, experiments are performed to verify the effectiveness of the proposed methods.

• Journal of Power Electronics
• /
• v.19 no.2
• /
• pp.403-412
• /
• 2019

Aiming at the problems of large dv/dt and di/dt in traditional single-ended converters and high electromagnetic interference (EMI) noise levels, a single-ended isolated converter using the secondary resonance technique is proposed in this paper. In the proposed converter, the voltage stress of the main power switch can be reduced and the voltage across the output diode is clamped to the output voltage when compared to the conventional flyback converter. In addition, the peak current stress through the main power switch can be decreased and zero current switching (ZCS) of the output diode can be achieved through the resonance technique. Moreover, the EMI noise coupling path and an equivalent model of the proposed converter topology are presented through the operational principle of the proposed converter. Analysis results indicate that the common mode (CM) EMI noise and the differential mode (DM) EMI noise of such a converter are deduced since the frequency spectra of the equivalent controlled voltage sources and controlled current source are decreased when compared with the traditional flyback converter. Furthermore, appropriate parameter selection of the resonant circuit network can increase the equivalent impedance in the EMI coupling path in the low frequency range, which further reduces the common mode interference. Finally, a simulation model and a 60W experimental prototype of the proposed converter are built and tested. Experimental results verify the theoretical analysis.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.5
• /
• pp.1-6
• /
• 2022

This paper deals with the maximum cardinality matching(MCM) problem. The augmenting path technique is well known in MCM. MCM is obtained by $O({\sqrt{n}}m)$ time complexity augmenting path algorithm for the general graph, and O(m log n) algorithm for the bipartite graph. On the other hand, this paper suggests O(n) linear time algorithm. The proposed algorithm based on the basic principle of as possible as largest selected inter-vertex edges in order to obtain the MCM. This paper simply selects edge {u,𝜐} that the minimum degree vertex u and minimum degree vertex 𝜐 in N_G(u) 𝜈(G)=k times iteration. For various general and bipartite graphs experimental data, this algorithm can be get the 𝜈(G) exactly.

• Journal of Practical Engineering Education
• /
• v.14 no.2
• /
• pp.413-423
• /
• 2022

The purpose of this study is to analyze the role of the job competency assessor who assess achievement of job performance ability based on NCS (educational training, qualifications, field experience, etc.) through competency assessment. For this purpose, job analysis including development and verification of the job model and selection of core task are conducted. As a result, main duties of the job competency assessor are to understand the NCS based assessment principle, establish an assessment plan, design and develop assessment tools, assess competence, provide feedback and re-assessment, record and manage assessment result, verify the internal assessment result, establish the RPL (recognition of prior learning) plan, implement the RPL and verify the RPL assessment result, and 48 task are derived. In addition, a total of 21 core tasks are derived based on the threshold value multiplied by the importance and difficulty of the task for each duty. Based on this, implications for job analysis of the job competency assessor are presented.

• Journal of Fashion Business
• /
• v.26 no.4
• /
• pp.32-51
• /
• 2022

This study analyzed the characteristics and expression techniques of men's fashion bags and their aesthetic and formative values in modern men's fashion from the perspective of neo-deconstructivism. The study subjects were men's fashion bags appearing in four collections in Paris, Milan, London, and New York in the 2019 S/S-2021 S/S season. As a research method, the characteristics and expression techniques of the new disintegration of men's fashion bags were analyzed and categorized through prior research and literature research. The results of the study are as follows: First, the neoclassical characteristics of men's fashion bags caused 'Re-creation' to appear as the dissolution of the design principle and structure of the bag, and it was derived as 'decomposition of form' and 'decomposition of dress method'. Second, the 'Inclusive Diversity' of modern men's fashion bags of neo-deconstructivism appears in the form of gender demarcation and dissonance coordination. Third, 'Playfulness' in men's fashion bags involves the pursuit of fun through unconventional changes in the shape, size, and design of the bag, and it sometimes provides a fresh, new play experience through unpredictable design elements. Fourth, the 'Pursuit of new values' in male's fashion bags was a characteristic wherein the boundary between DIY attire and daily clothes and high fashion by the individual selection of consumers was blurred. This work is meaningful in that it conducted a basic study of men's fashion bags by examining the modern men's fashion bag from the perspective of the philosophical trend of neo-deconstructivism and categorizing its characteristics.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.4
• /
• pp.152-159
• /
• 2023

This study endeavors to enrich investment prospects in cryptocurrency by establishing a rationale for investment decisions. The primary objective involves evaluating the predictability of four prominent cryptocurrencies - Bitcoin, Ethereum, Litecoin, and EOS - and scrutinizing the efficacy of trading strategies developed based on the prediction model. To identify the most effective prediction model for each cryptocurrency annually, we employed three methodologies - AutoRegressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), and Prophet - representing traditional statistics and artificial intelligence. These methods were applied across diverse periods and time intervals. The result suggested that Prophet trained on the previous 28 days' price history at 15-minute intervals generally yielded the highest performance. The results were validated through a random selection of 100 days (20 target dates per year) spanning from January 1st, 2018, to December 31st, 2022. The trading strategies were formulated based on the optimal-performing prediction model, grounded in the simple principle of assigning greater weight to more predictable assets. When the forecasting model indicates an upward trend, it is recommended to acquire the cryptocurrency with the investment amount determined by its performance. Experimental results consistently demonstrated that the proposed trading strategy yields higher returns compared to an equal portfolio employing a buy-and-hold strategy. The cryptocurrency trading model introduced in this paper carries two significant implications. Firstly, it facilitates the evolution of cryptocurrencies from speculative assets to investment instruments. Secondly, it plays a crucial role in advancing deep learning-based investment strategies by providing sound evidence for portfolio allocation. This addresses the black box issue, a notable weakness in deep learning, offering increased transparency to the model.

• Anatomy and Cell Biology
• /
• v.56 no.1
• /
• pp.86-93
• /
• 2023

Age at death estimation has always been a crucial yet challenging part of identification process in forensic field. The use of human skeletons have long been explored using the principle of macro and micro-architecture change in correlation with increasing age. The clavicle is recommended as the best candidate for accurate age estimation because of its accessibility, time to maturation and minimal effect from weight. Our study applies pre-trained convolutional neural network in order to achieve the most accurate and cost effective age estimation model using clavicular bone. The total of 988 clavicles of Thai population with known age and sex were radiographed using Kodak 9000 Extra-oral Imaging System. The radiographs then went through preprocessing protocol which include region of interest selection and quality assessment. Additional samples were generated using generative adversarial network. The total clavicular images used in this study were 3,999 which were then separated into training and test set, and the test set were subsequently categorized into 7 age groups. GoogLeNet was modified at two layers and fine tuned the parameters. The highest validation accuracy was 89.02% but the test set achieved only 30% accuracy. Our results show that the use of medial clavicular radiographs has a potential in the field of age at death estimation, thus, further study is recommended.

• Journal of Korean Society of Forest Science
• /
• v.78 no.2
• /
• pp.177-188
• /
• 1989

The habitat typing method of classification based on community has been developed on many forested areas in the ROCKY MOUNTAINS of WESTERN NORTH AMERICA, and is being used in providing an objective principle of guide for classification of forest sites, land classification, vertical distribution and multipurpose management of forest. I actually made a trial of forest habitat type classification - The methodology can be segmented into a number of tasks including reconnaissance, selection of stands to be sampled, location of plots, data gathering, preliminary and computer analysis, preparation of key- and map of habitat type and description for each habitat type in a view of forest management - on UNIVERSITY OF MONTANA FORESTS in order to examine whether its application is fit or not in korean forest circumstances : these are composed mainly of artificial forest and forest in the early stage of succession. The main results obtained from this study were summarized as follows 1. A hierarchical classification-Climax, Habitat type and Phases-of forest sites was developed using the habitat typing method of classification. 2. A diagnostic key is provided for field identification of the types based upon presence and number of indicator species, and forest managers could prepare a map of habitat type and classify forest habirat types by reference to it. 3. The classified habitat types were considered to be effective on providing an objective principle of guide for multipurpose management of forest including potential productivity for timber, feed productivity of forage and wildlife, selection of the right species in the right sites, application of method of treatment and so forth. 4. Forest habitat type classifications based upon extrapolation which used relict species and associated stands is considered to be suitable for korean forest circumstances and objective in studying potential vegetation, vertical and horizontal distribution of forest.