• Restorative Dentistry and Endodontics
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• v.30 no.2
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• pp.128-137
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• 2005

In this study we measured the amount of light energy that was projected through the tooth material and analyzed the degree of polymerization by measuring the surface hardness of composites. For polymerization, Optilux 501 (Demetron, USA) with two types of light guide was used: a 12 mm diameter light guide with 840 nW/$cm^2$ light intensity and a 7 mm diameter turbo light guide with 1100 nW/$cm^2$. Specimens were divided into three groups according to thickness of penetrating tooth (1 mm, 2 mm, 0 mm). Each group was further divided into four subgroups according to type of light guide and curing time (20 seconds, 40 seconds). Vickers' hardness was measured by using a microhardness tester. In 0 mm and 1 mm penetrating tooth group, which were polymerized by a turbo light guide for 40 seconds, showed the highest hardness values. The specimens from 2 mm penetrating tooth group, which were polymerized for 20 seconds, demonstrated the lowest hardness regardless of the types of light guides (p < 0.05). The results of this study suggest that, when projecting tooth material over a specified thickness, the increase of polymerization will be limited even if light intensity or curing time is increased.

• Proceedings of the KSCN Conference
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• 2003.11a
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• pp.1070-1071
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• 2003

노년기의 독립적인 생활유지와 삶의 질을 향상시킬 수 있는 바람직한 영양섭취 방법을 모색하기 위한 종적연구의 대상자로 자원한 서울지역의 건강한 40-64세의 중년 293명(남 121명, 여172명)을 대상으로 생활습관과 영양섭취실태를 조사한 결과는 다음과 같다. 대상자의 평균 연령은 남자 52.0$\pm$7.3세, 여자 519$\pm$6.9세였고, 대부분 부부 중심으로 조사하였다. 교육수준은 남자의 71.9%, 여자의 39.5%가 대학졸업 이상이었으며, 남자의 43.0%가 전문직, 24.8%가 행정ㆍ사무직이었고, 가계의 한 달 평균 수입이 200만원 이상자가 72.5%로써 본 조사의 자원자는 대체적으로 고학력, 전문직종의 중류층이었다. 건강에 대한 염려를 가끔 또는 자주 하는 대상자가 66.9%로 건강에 대한 관심은 높았으나 건강을 지키기 위한 실천은 낮은 것으로 나타났다. 그 예로 지난 1년간 체중이 증가하고 있는 대상자가 37.5%였고, 이들 중 75%가 2kg 이상의 체중이 늘고 있지만 체중을 줄이려고 노력하는 대상자는 37.5%뿐이었다. 음주는 남성의 56.5%가 평균 주 2회 정도 하는 편이었고, 1회 음주량은 소주로 1병 이하가 대부분(88%)이었다. 현재 흡연자는 남자의 40.5%였고, 금연자는 30.6%로 비교적 흡연율이 낮았다. 식사시간은 대부분(83.6%) 규칙적이었다. 식사를 주 2-3회 이상 거르는 대상자가 남자는 23%인 반면 여자는 49%였고, 이들 대부분(60.3%)이 아침을 먹지 않았다. 1주일에 1번 이상 외식하는 대상자는 남자의 84%, 여자의 66%였다. 식사시 식품의 배합에 대하여 별로 관심이 없다는 사람이 50%였지만 실제로 식품군별 섭취 시에는 상당한 관심이 있는 것으로 나타났다. 즉, 육류의 기름기를 대충 또는 거의 다 제거하고 먹는 대상자가 남자의 68%, 여자의 88%였고, 육류를 자주 먹지 않거나 소량씩 먹는 대상자가 94%, 생선.두부 및 콩제품을 하루 1끼 이상 섭취하는 대상자가 87%, 채소를 하루 1번 이상 섭취하는 대상자가 96%인 반면, 인스턴트식품이나 패스트푸드를 주 2-3회 이상 먹는 대상자는 23% 정도였다. 영양지식점수(15.4$\pm$3.1/25)와 영양태도점수(50.5$\pm$4.9/75)는 비교적 양호하였다. 전체적으로 오답률이 높은 문항은 체중조절에 있어서 식사와 운동의 관계, 당뇨병 환자의 흰쌀밥 섭취 문제, 비타민제의 섭취와 감기, 고단백 식사의 문제점 등에 관한 것이었다. 반면 철분 섭취와 빈혈의 관계, 비만의 위험성, 동물성 기름의 섭취와 혈중 콜레스테롤치, 우유가 Ca의 급원이면서 성인에게도 필요하다는 것 등은 잘 인식되고 있었다. 조사 대상자의 평균 에너지 섭취량은 RDA의 77.3 $\pm$ 13.6%였으나, 이들 대부분(80%)의 활동 정도가 가벼운 활동에 속하므로 에너지가 부족하다고 할 수는 없다. 반면 평균 단백질 섭취량은 RDA의 109.9 $\pm$ 23.5%로 충분하였고, 3대 열량영양소 즉, 단백질:지방:탄수화물의 구성비는 16:22:62로 지방의 섭취가 약간 높으나 바람직한 구성비를 보였다. 권장량의 75% 이하를 섭취하고 있는 영양소는 칼슘(70.7$\pm$23.9%)뿐이었다. 과체중자의 비율을 체질량지수(BMI) 25이상으로 구분하면 남자의 45%, 여자의 23%가 과체중자로 나타나나, 23이상으로 구분하면 남자의 71%, 여자의 52%가 과체중자로 분류되었다. 이를 WHR의 기준치로 분류하면 남자의 25%, 여자의 26%가 과체중자로 나타났다. 대부분 대상자의 hemoglobin치(99%), hematocrit치(90%), 혈장 albumin치(99.7%)는 양호하였다. 혈당이 140mg/㎗ 이상인 대상자는 2.7%에 불과하였다. 혈중 총콜레스테롤치가 240mg/㎗ 이상인 대상자는 19%, 중성지방치가 250mg/㎗ 이상인 대상자는 9%, HDL-콜레스테롤치가 35mg/㎗ 이하인 대상자는 2.4%로 혈중 지질 profile은 양호하였다. 이상의 결과로 보아 본 연구 대상자는 영양섭취상태와 생화학적 건강상태가 양호하다고 판단되므로 종적연구의 대상자로 적합하다고 사료된다.

• Journal of Korean Foot and Ankle Society
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• v.23 no.1
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• pp.24-30
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• 2019

Purpose: To evaluate the efficiency of the electronic foot function index (eFFI) through a prospective, random based, multi-institutional study. Materials and Methods: The study included 227 patients ranging in age from 20 to 79 years, visited for surgery in different 15 institutes, and agreed to volunteer. The patients were assigned randomly into a paper-based evaluated group (n=113) and tablet-based evaluated group (n=114). The evaluation was done on the day of hospital admission and the method was changed on the second day of surgery and re-evaluated. PADAS 2.0 (https://www.proscore.kr) was used as an electronic evaluation program. Results: There were no differences in age and sex in both groups. The intraclass correlation coefficient (ICC) evaluation revealed an eFFI ICC of 0.924, showing that both results were similar. The evaluation time was shorter in the tablet-based group than the paper-based group (paper vs tablet, $3.7{\pm}3.8$ vs $2.3{\pm}1.3minutes$). Thirty-nine patients (17.2%) preferred to use paper and 131 patients (57.7%) preferred the tablet. Fifty-seven patients (25.1%) found both ways to be acceptable. Conclusion: eFFI through tablet devices appears to be more constant than the paper-based program. In addition, it required a shorter amount of time and the patients tended to prefer the tablet-based program. Overall, tablet and cloud system can be beneficial to a clinical study.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.111-129
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• 2022

Insomnia is a chronic disease in modern society, with the number of new patients increasing by more than 20% in the last 5 years. Insomnia is a serious disease that requires diagnosis and treatment because the individual and social problems that occur when there is a lack of sleep are serious and the triggers of insomnia are complex. This study collected 5,699 data from 'insomnia', a community on 'Reddit', a social media that freely expresses opinions. Based on the International Classification of Sleep Disorders ICSD-3 standard and the guidelines with the help of experts, the insomnia corpus was constructed by tagging them as insomnia tendency documents and non-insomnia tendency documents. Five deep learning language models (BERT, RoBERTa, ALBERT, ELECTRA, XLNet) were trained using the constructed insomnia corpus as training data. As a result of performance evaluation, RoBERTa showed the highest performance with an accuracy of 81.33%. In order to in-depth analysis of insomnia social data, topic modeling was performed using the newly emerged BERTopic method by supplementing the weaknesses of LDA, which is widely used in the past. As a result of the analysis, 8 subject groups ('Negative emotions', 'Advice and help and gratitude', 'Insomnia-related diseases', 'Sleeping pills', 'Exercise and eating habits', 'Physical characteristics', 'Activity characteristics', 'Environmental characteristics') could be confirmed. Users expressed negative emotions and sought help and advice from the Reddit insomnia community. In addition, they mentioned diseases related to insomnia, shared discourse on the use of sleeping pills, and expressed interest in exercise and eating habits. As insomnia-related characteristics, we found physical characteristics such as breathing, pregnancy, and heart, active characteristics such as zombies, hypnic jerk, and groggy, and environmental characteristics such as sunlight, blankets, temperature, and naps.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.89-106
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• 2022

Recently, the amount of video data collected from smartphones, CCTVs, black boxes, and high-definition cameras has increased rapidly. According to the increasing video data, the requirements for analysis and utilization are increasing. Due to the lack of skilled manpower to analyze videos in many industries, machine learning and artificial intelligence are actively used to assist manpower. In this situation, the demand for various computer vision technologies such as object detection and tracking, action detection, emotion detection, and Re-ID also increased rapidly. However, the object detection and tracking technology has many difficulties that degrade performance, such as re-appearance after the object's departure from the video recording location, and occlusion. Accordingly, action and emotion detection models based on object detection and tracking models also have difficulties in extracting data for each object. In addition, deep learning architectures consist of various models suffer from performance degradation due to bottlenects and lack of optimization. In this study, we propose an video analysis system consists of YOLOv5 based DeepSORT object tracking model, SlowFast based action recognition model, Torchreid based Re-ID model, and AWS Rekognition which is emotion recognition service. Proposed model uses single-linkage hierarchical clustering based Re-ID and some processing method which maximize hardware throughput. It has higher accuracy than the performance of the re-identification model using simple metrics, near real-time processing performance, and prevents tracking failure due to object departure and re-emergence, occlusion, etc. By continuously linking the action and facial emotion detection results of each object to the same object, it is possible to efficiently analyze videos. The re-identification model extracts a feature vector from the bounding box of object image detected by the object tracking model for each frame, and applies the single-linkage hierarchical clustering from the past frame using the extracted feature vectors to identify the same object that failed to track. Through the above process, it is possible to re-track the same object that has failed to tracking in the case of re-appearance or occlusion after leaving the video location. As a result, action and facial emotion detection results of the newly recognized object due to the tracking fails can be linked to those of the object that appeared in the past. On the other hand, as a way to improve processing performance, we introduce Bounding Box Queue by Object and Feature Queue method that can reduce RAM memory requirements while maximizing GPU memory throughput. Also we introduce the IoF(Intersection over Face) algorithm that allows facial emotion recognized through AWS Rekognition to be linked with object tracking information. The academic significance of this study is that the two-stage re-identification model can have real-time performance even in a high-cost environment that performs action and facial emotion detection according to processing techniques without reducing the accuracy by using simple metrics to achieve real-time performance. The practical implication of this study is that in various industrial fields that require action and facial emotion detection but have many difficulties due to the fails in object tracking can analyze videos effectively through proposed model. Proposed model which has high accuracy of retrace and processing performance can be used in various fields such as intelligent monitoring, observation services and behavioral or psychological analysis services where the integration of tracking information and extracted metadata creates greate industrial and business value. In the future, in order to measure the object tracking performance more precisely, there is a need to conduct an experiment using the MOT Challenge dataset, which is data used by many international conferences. We will investigate the problem that the IoF algorithm cannot solve to develop an additional complementary algorithm. In addition, we plan to conduct additional research to apply this model to various fields' dataset related to intelligent video analysis.

• Food Science and Preservation
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• v.22 no.3
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• pp.353-360
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• 2015

Yakju, a Korean traditional alcoholic beverage, is made from rice and Nuruk. In this study, the fermentation characteristics of Yakju was investigated using rice and rice starch. Ingredients was classified into raw material (rice, rice starch) and starter (enzyme supplements, modified Nuruk, traditional Nuruk, and yellow rice koji) for fermentation. The crude protein content of rice, rice starch, and starter were determined as follows (%): rice 6.69, rice starch 0.44, enzyme supplements 7.84, modified Nuruk 15.29, traditional Nuruk 14.28, and yellow rice koji 7.28. The alcohol content of rice with traditional Nuruk ($20.13{\pm}0.12%$) was higher than other Yakju. The concentration of organic acids of rice starch-based Yakju (389.83~538.34 mg%) was higher than that of rice Yakju (259.27~357.70 mg%). The concentration of nitrogen compound of rice Yakju (498.38~5976.93 ppm) was higher than that of rice starch-based Yakju (600.43~4463.79 ppm). In line with these findings, further studies will be necessary for the quality analysis of the rice, rice starch and fermented starter (enzyme supplements, modified Nuruk, traditional Nuruk and yellow rice koji).

• Journal of Korean Society of Forest Science
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• v.54 no.1
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• pp.1-24
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• 1981

Kangweon-Do is rich in sightseeing resources. There are three sightseeing areas;first, mountain area including Seolak and Ohdae National Parks, and chiak Provincial Park; second eastern coastal area; third lake area including the watersheds of North Han River. In this paper, several methods of forestation were studied for landscaping the North Han River watersheds centering around Chounchon. In Chunchon lake complex, there are four lakes; Uiam, Chunchon, Soyang and Paro from down to upper stream. The total surface area of the above four lakes is $14.4km^2$ the total pondage of them 4,155 million $m^3$, the total generation of electric power of them 410 thousand Kw, and the total forest area bordering on them $1,208km^2$. The bordering forest consists of planned management forest ($745km^2$) and non-planned management forest ($463km^2$). The latter is divided into green belt zone, natural conservation area, and protection forest. The forest in green belt amounts to $177km^2$ and centers around the 10km radios from Chunchon. The forest in natural conservation area amounts to $165km^2$, which is established within 2km sight range from the Soyang-lake sides. Protection forest surrounding the lakes is $121km^2$ There are many scenic places, recreation gardens, cultural goods and ruins in this lake complex, which are the same good tourist resources as lakes and forest. The forest encirelng the lakes has the poor average growing stock of $15m^3/ha$, because 70% of the forest consists of the young plantation of 1 to 2 age class. The ration of the needle-leaved forest, the broad-leaved forest and the mixed forest in 35:37:28. From the standpoint of ownership, the forest consists of national forest (36%), provincial forest (14%), Gun forest (5%) and private forest(45%). The greater part of the forest soil, originated from granite and gneiss, is much liable to weathering. Because the surface soil is mostly sterile, the fertilization for improving the soil quality is strongly urged. Considering the above-mentioned, the forestation methods for improving landscape of the North Han River Watersheds are suggested as follows: 1) The mature-stage forest should be induced by means of fertilizing and tendering, as the forest in this area is the young plantation with poor soil. 2) The bare land should be afforested by planting the rapid growing species, such as rigida pine, alder, and etc. 3) The bare land in the canyon with moderate moist and comparatively rich soil should be planted with Korean-pine, larch, ro fir. 4) Japaness-pine stand should be changed into Korean-pine, fir, spruce or hemlock stand from ravine to top gradually, because the Japanese-pine has poor capacity of water conservation and great liability to pine gall midge. 5) Present hard-wood forest, consisting of miscellaneous trees comparatively less valuable from the point of wood quality and scenerity, should be change into oak, maple, fraxinus-rhynchophylla, birch or juglan stand which is comparatively more valuable. 6) In the mountain foot within the sight-range, stands should be established with such species as cherry, weeping willow, white poplar, machilus, maiden-hair tree, juniper, chestnut or apricot. 7) The regeneration of some broad-leaved forests should be induced to the middle forest type, leading to the harmonious arrangement of the two storied forest and the coppice. 8) For the preservation of scenery, the reproduction of the soft-wood forest should be done under the selection method or the shelter-wood system. 9) Mixed forest should be regenerated under the middle forest system with upper needle-leaved forest and lower broad-leaved forest. In brief, the nature's mysteriousness should be conserved by combining the womanly elegance of the lakes and the manly grandeur of the forest.