• 월간 기계설비
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• s.34
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• pp.84-119
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• 1993

• 월간 기계설비
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• s.169
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• pp.88-103
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• 2004

• 월간 기계설비
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• s.170
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• pp.90-93
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• 2004

• 월간 기계설비
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• s.170
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• pp.94-103
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• 2004

• Korean Journal of Construction Engineering and Management
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• v.13 no.6
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• pp.121-132
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• 2012

The current estimation system of construction equipment cost was first introduced in 1960's when general contractors had ownership of equipment. However, most of construction equipment in construction sites has been rented from equipment leasing company these days. Therefore, the improvement of current cost estimation system is therefore inevitable in order to advance domestic construction industry. This study is aimed to suggest the improved system by analyzing nationwide market rental rates of major construction equipment. A user friendly prototype of actual database grounded on actual market rental rates collected from over 200 leasing companies in the nation was proposed. The database includes various rates and statistics analyzed by different form of contract as well as different region. Using the collected data, "The Cost Estimate System in Construction Equipment Database" was developed by using VBA(Visual Basic for Applications). The system makes users convenient to utilize the rental rates by choosing equipment and region, and various types of contract.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2002.02a
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• pp.54-59
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• 2002

1. 일시수확형 고추의 기계수확 요인을 구명하기 위하여 4종류의 탈과장치를 제작하여 공시고추로 탈과시험을 실시한 결과 탈과장치는 방사대칭식(브러쉬형), 고추이송(공급)속도는 0.1m/s, 탈과장치 간격은 3cm, 탈과장치 회전수는 180rpm에서 정상탈과율 77.3%, 손상률 7.6% 미탈과율 3.0%로 가장 양호한 성적이 나타났다. 2. 방사대칭식(브러쉬형) 탈과장치를 이용하여 무지용 상향착과형 고추, 지주용 하향착과형 고추, 지주용 상향착과형 고추를 공시하여 고추별 탈과시험을 실시한 결과, 고추이송(공급)속도 0.1m/s, 원통사이간격 3cm, 탈과장치 회전수 180rpm에서 가장 양호한 성적이 나왔으며, 지주용 하향착과형 고추가 정상탈과률 82.7%, 손상률 7.4%, 미탈과율 2.7%로 무지주용 상향착과형 고추(52.3%, 14.3%, 12.5%)와 지주용 상향착과형 고추(77.3%, 7.6%. 3.0%)에 비해 기계수확에 적합한 것으로 나타났다. 3. 이상의 고추 기계수확 요인시험의 결과, 탈과장치는 방사대칭식(브러쉬형) 고추종류로는 하향착과형 고추가 기계수확에 바람직한 것으로 나타났으며, 수확 후 회수가 가능한 줄기부착고추를 포함한다면 고추기계수확률은 80% 이상, 꼭지가 떨어진 것이 대부분인 손상고추도 수확 후 즉시 기계건조하여 가공용으로 사용한다고 가정한다면 기계 수확률은 90% 이상 가능하지만, 이것의 수용 여부는 좀 더 폭넓은 의견수렴 및 조사가 필요하다고 사료된다. 4. 고추수확 기계화를 위해서는 실내요인 시험 결과를 토대로 포장에서 수확메커니즘 구명과 더불어 고추 과실이 크고 무지주용 하향착과형 일시수확형 고추 품종의 개발이 병행되어야 한다고 판단된다. 5) 마늘 선별작업 -마늘선별기는 작업성능이 높고 5등급으로 균일 선별되었으며 손상도 없었으나, 기계가 크고 무거워 이동이 곤란하고 가격이 비싸므로 선별등급을 3∼4단계로 줄이고 소형 농가보급형으로 개량제작이 요구됨. 나. 마늘재배 일관기계화에 의한 노동투하시간과 비용 -종자준비부터 통마늘선별까지의 일관기계화로 투입된 주요작업의 노력은 75∼76%가 절감되고, 재배규모 3ha기준시 비용은 44-53%절감되었음. the annealing texture. Observations by TEM and EBSD revealed the formation of very fine grains of ∼1.0$\mu\textrm{m}$ after CCSS.he dislocations form local defect arrangements at the grooves permitting the substantial reduction in defect density over the remainder of the interfacial area.한 최대의 감자 재배지역을 형성하였다. 제주도는 산지지형과 따뜻한 기온으로 2기작이 가능하고, 감자가공 공장설립과 교통발달에 따른 육지 시장과의 접근이 용이해졌기 때문에 남한에서 2번째로 큰 감자재배지역이 되었다.(요약 및 결론에서 발췌)그람양성균에서 효과적이었으며, 농도별 항균력시험 결과 농도가 증가할수록 비례하여 저해율도 증가함을 알 수 있었다. 첨가농도를 달리하여 미생물의 생육도를 측정한 결과, fraction II磎꼭\ulcorner경우 그람양성균에 대해 500 ppm 이상에서 뚜렷한 증식억제효과를 나타내었다.서 뚜렷한 증식억제효과를 나타내었다.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.1
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• pp.25-32
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• 2020

In the context-aware system, rule-based AI technology has been used in the abstraction process for getting context information. However, the rules are complicated by the diversification of user requirements for the service and also data usage is increased. Therefore, there are some technical limitations to maintain rule-based models and to process unstructured data. To overcome these limitations, many studies have applied machine learning techniques to Context-aware systems. In order to utilize this machine learning-based model in the context-aware system, a management process of periodically injecting training data is required. In the previous study on the machine learning based context awareness system, a series of management processes such as the generation and provision of learning data for operating several machine learning models were considered, but the method was limited to the applied system. In this paper, we propose a training data generating method of a machine learning model to extend the machine learning based context-aware system. The proposed method define the training data generating model that can reflect the requirements of the machine learning models and generate the training data for each machine learning model. In the experiment, the training data generating model is defined based on the training data generating schema of the cardiac status analysis model for older in health status notification service, and the training data is generated by applying the model defined in the real environment of the software. In addition, it shows the process of comparing the accuracy by learning the training data generated in the machine learning model, and applied to verify the validity of the generated learning data.

• Korean Journal of Food Science and Technology
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• v.34 no.4
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• pp.719-724
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• 2002

Fresh bamboo was charred in the mechanical steel kiln and traditional earth kiln, and then its smoke was condensed to produce bamboo smoke distillates (BSD). BSD made by mechanical steel kiln (MBSD) was purified by distillation. There is significant difference (p<0.05) in total phenol content among them, 663.40 ppm in MBSD, 571.62 ppm in PMBSD, and 485.16 ppm in TBSD. The nitrite scavenging activity and electron donation ability of BSDs were measured and the content of total phenol content was determined. The nitrite scavenging activity of BSD increased with increasing concentration of BSD at the same pH and decreased with increasing pH. There is significant difference (p<0.05) in nitrite scavenging activity among MBSD, purified MBSD (PMBSD), and BSD made by traditional earth kiln (TBSD) and the activity was the highest in MBSD and the lowest in TBSD. The electron donationg ability of BSDs increased with increasing the concentration of BSD and the reaction time. There is significant difference in the electron donation ability of BSDs at the same period and different concentration among the BSDs, the highest in MBSD and the lowest in TBSD.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.1
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• pp.1-12
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• 2019

In this paper, it was found that most of the machinery facilities problems generated by clients could be prevented in advance by systematically managing the mechanical equipment production process of small and medium enterprises (SMEs) that produce machinery facilities. Major point of this process is to establish an operating system that corresponds to reality of facility manufacturers as it represents 63% of machinery facilities problems that occur in customers and is a task that needs to be solved most intensively. Technical issues account for 23% of machinery facilities problems occurring at the client's companies and should be approached from a long-term perspective as they are directly related to the technical capabilities of the manufacturers. Organizational problems account for 14% of machinery facilities problems occurring in customer companies, and can change depending on the relationship of members and the nature of the human being, such as morality and motivation. In addition, we propose the establishment of an Internet-based production process management platform for smooth and efficient transfer of information between customers and machinery facilities manufacturers.

• Particle and aerosol research
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• v.15 no.2
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• pp.79-90
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• 2019

It is important to control fine particles in children care centers, elementary schools, elderly care facilities and so on where vulnerable children and the aged stay during most of their time. This study has investigated $PM_{2.5}$ and $PM_{10}$ concentrations in two classrooms equipped with an air cleaner and two air cleaners, respectively and they were compared to those in a classroom without an air cleaner as well as those outdoors. Eight air cleaners which have various clean air delivery rates (CADRs) between 9.9 and $21.3m^3/min$ were tested in classrooms in two elementary schools in Seoul. Average $PM_{2.5}$ and $PM_{10}$ were $7.3{\pm}0.7$ and $45.5{\pm}4.1{\mu}g/m^3$ in classrooms equipped with an air cleaner and $4.2{\pm}0.6$ and $24.6{\pm}2.5{\mu}g/m^3$ in classrooms with two air cleaners, whereas they were $22.1{\pm}2.6$ and $109.1{\pm}9.6{\mu}g/m^3$ in classrooms without an air cleaner and $36.9{\pm}5.1$ and $74.1{\pm}10.6{\mu}g/m^3$ outdoors, respectively. $PM_{2.5}$ in classrooms could be reduced effectively by using an air cleaner or two air cleaners, because $PM_{2.5}$ was mainly infiltrated from outdoors, however $PM_{10}$ could not because $PM_{10}$ was mainly caused indoors by students' activities. Air cleaners were more effective for removal of $PM_{2.5}$ and $PM_{10}$ in classrooms with a high airtightness than those in classrooms with a relatively low one. Average $CO_2$ in classrooms was about 1500 to 2000 ppm for class hours dependent on the student number per a classroom, which was about 1.5 to 2 times higher than the standard, regardless of the use of air cleaner.