• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.42-47
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• 2017

In this study,we conducted an injection molding analysis of metal powder materials for the development of flanges, which are necessary adapters for optical communication. The metal powder injection molding process is a technique for producing an injection molded article having a complicated shape by mixing ceramic or stainless powder and binders. It is used to produce products which require complex processing technology or for which the productivity is low. The purpose of this study is to minimize the manufacturing processing of products which are manufactured through existing mechanical processing procedures. For the injection molding analysis, we mixed stainless STS316 metal powder with binders at a ratio of 6 to 4 to make molding materials consisting of granular pellets. Then, three-dimensional modeling and meshing were carried out to obtain the optimal injection molding analysis conditions(molding temperature, melting temperature, injection time, injection temperature, injection pressure, packing time and cooling time). As a result of the analysis, it was discovered that the inlet became available 13.29 seconds after the first injection. Also, as the flowing and packing in the melt through the sprue, runner and gate were stable, it is expected that good molds can be manufactured.

• Korean Journal of Soil Science and Fertilizer
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• v.24
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• pp.5-38
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• 1991

비료(肥料)를 공업적(工業的)으로 제조(製造)하여 농업(農業)에 사용(使用)하기 시작(始作)한 이래(以來) 신비종(新肥種)의 개발(開發)에 대한 관심(關心)은 부단(不斷)히 계속(繼續)되어 왔으며 현재(現在)에도 어느 국가(國家)나 생산업계(生産業界)에서 개발(開發)을 위한 노력(努力)을 많이 기우리고 있음이 현실(現實)일 것이다. 어느 국가(國家)와 어느 시대(時代)에 있어서나 현존(現存) 비종(肥種)을 생산(生産)함에는 소비(消費)와 생산면(生産面)에서 상응(相應)하는 사정(事情)이 있었을 것이며 또한 미래(未來)에도 신비종(新肥種)을 개량(改良)하거나 창제(創製)함에는 여러 가지 관련문제(關聯問題)를 검토(檢討)하여 새로운 요구(要求)에 합리적(合理的)으로 부합(符合)되도록 설계(設計)해야 할 것이다. 비료(肥料)는 현대(現代) 농업(農業)에서 불가피(不可避)하게 사용(使用)되는 기본자재(基本資材)이며 세계적(世界的)으로 그 소비(消費)가 증가(增加)되나 국가별(國家別) 농업(農業)의 특수성(特殊性)에 맞추어서 비료(肥料)의 형태(形態)와 생산량(生産量)에 차이(差異)가 있게 되며 또 변화(變化), 개량(改良)될 것이다. 우리나라의 농업(農業)이 최근(最近) 급속(急速)히 변화(變化)되면서 생산수단(生産手段)과 경영(經營)에도 큰 변혁(變革)이 불가피(不可避)하게 따라야 할 것으로 판단(判斷)된다. 생산수단(生産手段)의 개량(改良)은 농산물(農産物) 생산가(生産價)를 낮추고 노력(勞力)의 투입(投入)을 줄이며 우수품질(優秀品質)의 농산물(農産物)을 안정적(安定的)으로 생산(生産)하기 위한 대응책(對應策)이 될 것이다. 비료(肥料)의 사용(使用)은 이러한 시대적(時代的) 요구(要求)에 맞추어 신비종(新肥種)이 개발(開發)되고 시용기술면(施用技術面)에서 발전(發展)이 있어야 될 것이다. 미래(未來)의 우리 나라 농업(農業)을 위하여 개발(開發)되어야 할 비종(肥種)의 형태(形態)와 그에 관련(關聯)되는 요건(要件)은 다음과 같이 요약(要約)된다. 1. 시비효율(施肥效率)을 높히기 위하여서나 성력재배(省力裁培)를 위하여 완효성(緩效性) 비료(肥料) 특히 질소비료(窒素肥料)의 신비종(新肥種) 개발(開發)이 절실(切實)히 필요(必要)하다고 판단(判斷)됨. 신비종(新肥種)은 대상작물(對象作物)의 종류(種類), 재배방식(裁培方式) 및 기계화(機械化) 상태(狀態)에 적합(適合)한 형태별(形態別)로 제조(製造)됨이 바람직함. 완효성(緩效性) 질소비료(窒素肥料)의 제조(製造)에는 화학합성(化學合成), 성형화(成形化), 흡착화(吸着化) 및 피복화(被覆化) 방식중(方式中) 성형화(成形化)에 의한 것이 최다(最多)이나 피복화(被覆化)도 재료(材料)와 기술(技術)의 발전(發展)에 따라 증가(增加)의 경향(傾向)임. 2. 현존(現存) 복합비료(複合肥料)의 토양(土壤) 및 작물(作物)에 대한 적합성(適合性)을 재검토(再檢討)하여 효율(效率)을 높히도록 개량(改良)함. 3. 소시비방식(少施肥方式)의 영농(營農)으로서 환경(環境)을 오염(汚染)으로부터 방호(防護)할 것이며 4. 작물종류(作物種類)(품종포함(品種包含)) 유전자형별(遺傳子型別) 비료감응성(肥料感應性)을 검정(檢定)하여 소시비(少施肥), 고효율(高效率)을 기(期)하도록함. 5 작물(作物)의 영양생리학(營養生理學) 분야(分野)에서도 비료외적(肥料外的)인 성장관련요인(成長關聯要因)의 작용(作用)을 연구(硏究)하여 응용(應用)의 가능성(可能性)을 추구(追究)함이 미래(未來)의 한 과제(課題)가 될 것으로 생각됨. 예(例): 유전공학적(遺傳工學的) 기법(技法)에 의한 성장인자(成長因子)의 개량(改良) 또는 시비효율(施肥效率)의 증대(增大) 작물성장(作物成長)과 미생물활동(微生物活動)과의 상호관계(相互關係) 등(等). 6. 가용(可用) 자원(資源)의 비료화(肥料化)를 위하여 타산업(他産業)의 부산물(副産物) 및 폐기물(廢棄物) (특히 유기질(有機質) 자원(資源))을 효율적(效率的)으로 재활용(再活用)하도록 함.

• Korean Journal of Breeding Science
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• v.51 no.3
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• pp.214-221
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• 2019

'Aram' is a soybean cultivar developed for soy-sprout. It was developed from the crossing of 'Bosug' (Glycine max IT213209) and 'Camp' (G. max IT267356) cultivars in 2007. F₁ plants and F₂ population were developed in 2009 and 2010. A promising line was selected in the F₅ generation in 2011 using the pedigree method and it was evaluated for agronomic traits, yield, and soy-sprouts characteristics in a preliminary yield trial (PYT) in 2012 and an advanced yield trial (AYT) in 2013. Agronomic traits and yield were stable between 2014 and 2016 in the regional yield trial (RYT) in four regions (Suwon, Naju, Dalseong, and Jeju). Morphological characteristics of 'Aram' are as follows: determinate plant type, purple flowers, grey pubescence, yellow pods, and small, yellow, and spherical seeds (9.9 g 100-seeds^-1) with a light brown hilum. The flowering date was the 5^th of August and the maturity date was the 15^th of October. Plant height, first pod height, number of nods, number of branches, and number of pods were 65 cm, 13 cm, 16, 4.5, and 99, respectively. In the sprout test, germination rate and sprout characteristics of 'Aram' were comparable to that of the 'Pungsannamulkong' cultivar. The yield of 'Aram' was 3.59 ton ha^-1 and it was 12% higher than that of 'Pungsannamulkong' in southern area of Korea. The yield of 'Aram' in the Jeju region, which is the main region for soybean sprout production, was 20% higher than that of 'Pungsannamulkong'. The height of the first pod and the tolerance to lodging and pod shattering, which are connected to the adaptation to mechanized harvesting, were higher in 'Aram' compared to those in 'Pungsannamulkong'. Therefore, the 'Aram' cultivar is expected to be broadly cultivated because of its higher soybean sprout quality, and seed yield and better adaptation to mechanized harvesting. (Registration number: 7718)

• Food Science of Animal Resources
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• v.23 no.3
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• pp.269-277
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• 2003

This study was carried out to evaluate the safety of Korean human milk. The microorganisms were identified from human milk of 149 healthy mothers by two collection methods, hand and pump expression. The means of total bacterial counts were 2.33x10$^4$ cfu/mL on the samples collected by the pump expression and 7.83xl0$^3$ cfu/mL on those collected by the hand expression. Therefore, the total bacterial counts of pump expression samples was 9.80xl0$^2$∼3.06x10$^4$ cfu/mL more than that of hand expression samples. The coliform counts of pump expression was 9.36xl0$^3$∼8.57xl0$^4$ cfu/mL more than that of hand expression. However, there was any significant differences of the lactic acid bacterial counts between the two samples collected by each methods. 100 strains of 5 patterns of total bacterial counts were isolated based on the morphology of colony in the standard plate count agar. 13 species were identified among the isolated strains. The dominant species in Korean human milk were Staphylococcus which 7 subspecies identified(81% in the rate of total bacteria, 1.07x10$^4$ cfu/mL). Other species identified were Micrococcus, Bacillus, Providencia, Pseudomonas, Yersinia and Acinetobacter. 36 strains of 6 patterns of lactic acid bacterial counts were isolated based on morphology of colony in the BCP agar. 7 species were identified among the isolated strains. The dominant species of lactic acid bacteria in Korean human milk were Lactobacillus brevis(50.9% in the rate of lactic acid bacteria, 4.72xl0$^4$ cfu/mL). Others species identified(49.1% lactic acid bacteria) were Lactobacillus curvatus, Lactobacillus delbrueckii subsp. lactis, Lactobacillus acidophilus, Leuconostic lactis and Streptococcus salivarius subsp. thermophilus.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.7
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• pp.1216-1221
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• 2022

Ships tend to be larger to increase the efficiency of cargo transportation. Larger ships lead to increased travel time for ship workers, increased work intensity, and reduced work efficiency. Problems such as increased work intensity are reducing the influx of young people into labor, along with the phenomenon of avoidance of high intensity labor by the younger generation. In addition, the rapid aging of the population and decrease in the young labor force aggravate the labor shortage problem in the maritime industry. To overcome this, the maritime industry has recently introduced technologies such as an intelligent production design platform and a smart production operation management system, and a smart autonomous logistics system in one of these technologies. The smart autonomous logistics system is a technology that delivers various goods using intelligent mobile robots, and enables the robot to drive itself by using sensors such as lidar and camera. Therefore, in this paper, it was checked whether the mobile robot could autonomously drive to the stop sign by detecting the passage way of the ship deck. The autonomous driving was performed by detecting the passage way of the ship deck through the camera mounted on the mobile robot based on the data learned through Nvidia's End-to-end learning. The mobile robot was stopped by checking the stop sign using SSD MobileNetV2. The experiment was repeated five times in which the mobile robot autonomously drives to the stop sign without deviation from the ship deck passage way at a distance of about 70m. As a result of the experiment, it was confirmed that the mobile robot was driven without deviation from passage way. If the smart autonomous logistics system to which this result is applied is used in the marine industry, it is thought that the stability, reduction of labor force, and work efficiency will be improved when workers work.

• Journal of Chest Surgery
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• v.42 no.3
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• pp.337-343
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• 2009

Background: Postoperative recurrence is a major problem after performing video-assisted thoracic surgery for the treatment of primary pneumothorax. This study was designed to evaluate the efficacy and safety of a bioabsorbable staple line reinforcement (GORE $SEAMGUARD^{(R)}$) for preventing recurrence after bullectomy. Material and Method: From January 2000 to December 2004, 300 patients underwent video assisted thoracoscopic surgery for the treatment of primary penumothorax. 143 patients were treated with bioabsorbable staple line reinforcement (Group A) and 142 patients were treated with stapling of the bullae (Group B). Mechanical pleural abrasion was performed in all the patients. The operating time, the duration of the indwelling chest tube, the length of the hospital stay and the number of recurrences after operation were compared between the groups. Result: No operative deaths occurred. The conversion rate to an open procedure was 5% (15/300). Comparison with these groups (Group A versus Group B) showed the following results: the operating time ($49.6{\pm}25.6$ vs $51.8{\pm}30.4$ minutes, respectively, p=0.514), the duration of an indwelling chest tube ($5.8{\pm}2.5$ vs $7.2{\pm}3.3$ days, respectively, p<0.005), the hospital stay ($10.9{\pm}4.3$ vs $12.5{\pm}4.3$ days, respectively, p<0.005) and the number of recurrences (14 (9.8%) vs 10 (7.0%), respectively, the over all rate: 8.4% p=0.523), and the mean follow up period. ($48.1{\pm}36.6$ vs $36.5{\pm}24.4$ months, respectively). Conclusion: There were advantages to use synthetic absorbable staple line reinforcement over the usual method for the treatment of primary pneumothorax in regard to the duration of an indwelling chest tube and the hospital stay, but here was no significant difference between the groups for postoperative recurrence.

• Tuberculosis and Respiratory Diseases
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• v.60 no.6
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• pp.653-662
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• 2006

Background: The changes in the pulmonary function observed in burn patients with an inhalation injury are probably the result of a combination of airway inflammation, chest wall and muscular abnormalities, and scar formation. In addition, it appears that prolonged ventilatory support and an episode of pneumonia contribute to the findings. This study investigated the changes in the pulmonary function in patients with inhalation injury at the early and late post-burn periods. Methods: From August 1, 2002, to August 30, 2005, surviving burn patients who had an inhalation injury were enrolled prospectively. An inhalation injury was identified by bronchoscopy within 48hours after admission. Spirometry was performed at the early phase during admission and the recovery phase after discharge, and the changes in the pulmonary function were compared. Results: 37 patients (M=28, F=9) with a total burn surface area (% TBSA), ranging from 0 to 18%, were included. The initial $PaO_2/$FiO_2$ratio and COHb were $286.4{\pm}129.6mmHg$ and $7.8{\pm}6.6%$. Nine cases (24.3%) underwent endotracheal intubation and 3 cases (8.1%) underwent mechanical ventilation. The initial X-ray findings revealed abnormalities in, 18 cases (48.6%) with 15 (83.3%) of these being completely resolved. However, 3 (16.7%) of these had residual sequela. The initial pulmonary function test, showed an obstructive pattern in 9 (24.3%) with 4 (44.4%) of these showing a positive bronchodilator response, A restrictive pattern was also observed in 9 (24.3%) patients. A lower DLco was observed in only 4 (17.4%) patients of which 23 had undergone DLco. In the follow-up study, an obstructive and restrictive pattern was observed in only one (2.7%) case each. All the decreased DLco returned to mormal. Conclusions: Most surviving burn patients with an inhalation injury but with a small burn size showed initial derangements in the pulmonary function test that was restored to a normal lung function during the follow up period.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.29-45
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• 2015

Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.

• Journal of Korea Water Resources Association
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• v.54 no.11
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• pp.903-913
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• 2021

In the flood season, the measurement of the river discharge has many restrictions due to reasons such as budget, manpower, safety, convenience in measurement and so on. In particular, when heavy rain events occur due to typhoons, etc., it is difficult to measure the amount of flood due to the above problems. In order to improve this problem, in this study, a method was developed that can measure the river discharge in a flood season simply and safely in a short time with minimal manpower by combining the functions of a drone and a surface velocity doppler radar. To overcome the mechanical limitations of drones caused by weather issues such as wind and rainfall derived from the measurement of the river discharge using the conventional drone, we developed a drone with P56 grade dustproof and waterproof performance, stable flight capability at a wind speed of up to 36 km/h, and a payload weight of up to 10 kg. Further, to eliminate vibration which is the most important constraint factor in the measurement with a surface velocity doppler radar, a damper plate was developed as a device that combines a drone and a surface velocity Doppler radar. The velocity meter DSVM (Dron and Surface Veloctity Meter using doppler radar) that combines the flight equipment with the velocity meter was produced. The error of ±3.5% occurred as a result of measuring the river discharge using DSVM at the point of Geumsan-gun (Hwangpunggyo) located at Bonghwang stream (the first tributary stream of the Geum River). In addition, when calculating the mean velocity from the measured surface velocity, the measurement was performed using ADCP simultaneously to improve accuracy, and the mean velocity conversion factor (0.92) was calculated by comparing the mean velocity. In this study, the discharge measured by combining a drone and a surface velocity meter was compared with the discharge measured using ADCP and floats, so that the application and utility of DSVM was confirmed.

• Korean Journal of Soil Science and Fertilizer
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• v.40 no.5
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• pp.418-428
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• 2007

Physical and chemical properties of the aggregate by-products including sludge and crushed dust samples collected from the 21 private companies throughout the country were analyzed to evaluate possible usage of the by-products as artificial soil materials for plantation. The pH of the materials ranged from 8.0 to 11.0. The organic matter content was $2.85g\;kg^{-1}$, and the total nitrogen content and available phosphate content were low as 0.7 percents and $12.98mg\;kg^{-1}$, respectively. Exchangeable $Ca^{2+}$, $Mg^{2+}$, $K^+$, and $Na^+$ were 2.29, 0.47, 0.02 and $0.05cmol\;kg^{-1}$, respectively. Heavy metal contents were lower than the limits regulated by environmental law of Korea. Textural analysis showed that most of the materials were silt loam with low water holding capacity ranged from 0.67 to 7.41 percents, and with low hydraulic conductivity ranged from 0.4 to $2.8m\;s^{-1}$. Mineralogical analysis showed that the aggregate by product materials were mostly composed of silicate, alumina and ferric oxides except calcium oxide dominant materials derived from limestones. The primary minerals were quartz, feldspars and dolomites derived from granite and granitic gneiss materials. Some samples derived from limestone material showed calcite and graphite together with the above minerals. According to the result, it can be concluded that the materials could be used as the artificial soil material for plantation after proper improvement of the physico-chemical properties and fertility.