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국내건설공사 사례를 기준한 건설클레임 집중관리 대상선정 프로세스 모델
강명용,민경석 남서울대학교 2007 남서울대학교 논문집 Vol.13 No.3
ABSTRACT : Recently, construction claims have been increased for protecting the rights of construction participants and obtaining the profit of construction projects.There are a lot of unpredictable and uncertain factors in construction projectand these fators cannot be stipulated clearly in contracts. For this reason, a chance of construction claims and disputes is always latent and construction disputes are occurred frequently while construction project are accomplished. Sound contractual relationship between owners and contractors can be maintained and contract clauses can be modified reasonably through construction claims. Although construction claims have theses good effects, construction claims can induce owners and contractors to an antagonism and lead to vast time and economic damages when construction claims develop disputes such as an arbiration and a litigation.
세계채소센터 고추, 파프리카, 토마토 자원의 국내 적응성 평가
전도연,서윤희,강명용,강예은,정효봉,양은영,조명철,이우문,황인덕,여경환,장성회 한국국제농업개발학회 2023 韓國國際農業開發學會誌 Vol.35 No.2
The World Vegetable Center (WorldVeg) maintains the world’s largest public vegetable germplasm collection. The Genebank contains over 65,000 accessions and consists of more than 130 genera and 330 species. It includes around 12,000 accessions of indigenous vegetables. The WorldVeg Korea Office (WKO) has been conducting regional adaptability evaluations in the fields of the National Institute of Horticultural and Herbal Science (NIHHS), with a focus on major solanaceous vegetable crops such as tomato, chili, and bell pepper. As climate change significantly affects vegetable crop productivity, the development of high-performing cultivars, tolerant to various abiotic and biotic stresses with enriched nutrients inside, is essential to enhance agricultural sustainability and human health. In this regard, the evaluation of growth and horticultural characteristics of pepper and tomato accessions from the WorldVeg will help contribute to the generation of new and improved cultivars, to address global challenges that affect food security, sustainability, and adaptation to climate change. Here, we summarize our activities and the results of the regional adaptability evaluation using the WorldVeg accessions of pepper and tomato germplasms.
Assessment of Load on Threshing Bar During Soybean Pod Threshing
이건호,문병은,Basak Jayanta Kumar,김나은,Paudel Bhola,전성우,국정후,강명용,고한종,김현태 한국농업기계학회 2023 바이오시스템공학 Vol.48 No.4
Purpose This study investigated the threshing load experienced by the threshing bar when it collides with soybean pods during the threshing process. Methods The threshing machine was designed and modeled in the commercial design software, Solidworks, referring to the threshing compartment of a commercial thresher available in Korea. The threshing load was simulated using a commercial simulation software and was recorded for each rotating speed. The actual load experienced by the threshing bar during soybean pod threshing was measured by a strain gauge attached to the threshing bar. Load data from the strain gauge was collected at each microsecond interval. Results The results of the field test and simulations showed that the load gap range varied from about 0.15 N at 250 rpm to about 1.00 N at 400 rpm rotational speed. It was observed that stress increases with an increase in rotational speed, which was similar in both simulation and field experiment. The probable reasons for this difference were the lack of consideration for the joint characteristics between the threshing bar and drum, the properties of the soybean pods, and the influence of gravity and pressure on the field test results.
Classification of strawberry ripeness stages using machine learning algorithms and colour spaces
Karki Sijan,Basak Jayanta Kumar,Paudel Bhola,Deb Nibas Chandra,김나은,국정후,강명용,김현태 한국원예학회 2024 Horticulture, Environment, and Biotechnology Vol.65 No.2
Accurate classifi cation of strawberry ripeness is a crucial aspect of ensuring high-quality food products, optimizing harvest ing and storage processes, and promoting consumer health. Although several non-destructive computer vision-based systems have been developed for this purpose, the infl uence of diff erent colour spaces on machine-learning model performance dur ing the ripeness stage classifi cation of strawberries remains underexplored. In this context, three machine-learning models, namely Gaussian Naïve Bayes (GNB), support vector machine (SVM) and feed-forward artifi cial neural networks (FANN), were combined with four colour spaces (RGB, HLS, CIELab and YCbCr) and biometrical characteristics to evaluate the eff ectiveness of colour spaces on the performance of machine-learning models for classifying strawberry ripeness. For this purpose, 1210 samples were collected and manually classifi ed into four ripeness stages. A dataset was created by combining each colour space value, biometrical properties, and corresponding ripeness stage, which was used as inputs to the models. The results indicated that FANN with CIELab colour space achieved the highest accuracy of 96.7%, followed by GNB and SVM, both having equal accuracy of 95.46% in CIELab colour space. The least accuracy of 92.15% was observed in RGB colour space with the GNB classifi er. In this study, the unripe and over-ripe stages were more accurately classifi ed, while intermediate ripening stages proved to be more challenging for the models. Furthermore, the accuracy of models was observed to be infl uenced by both the colour space and classifi cation model selected. Additionally, further research is needed to investigate other features that could improve the performance of models for strawberry ripeness classifi cation.