• KIPS Transactions on Computer and Communication Systems
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• v.9 no.10
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• pp.239-246
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• 2020

In the medical field where artificial intelligence technology is introduced, research related to clinical decision support system(CDSS) in relation to diagnosis and prediction is actively being conducted. In particular, medical imaging-based disease diagnosis area applied AI technologies at various products. However, medical imaging data consists of inconsistent data, and it is a reality that it takes considerable time to prepare and use it for research. This paper describes a one-stop AI learning platform for converting to medical image standard R_CDM(Radiology Common Data Model) and supporting AI algorithm development research based on the dataset. To this, the focus is on linking with the existing CDM(common data model) and model the system, including the schema of the medical imaging standard model and report information for multi-center research based on DICOM(Digital Imaging and Communications in Medicine) tag information. And also, we show the execution results based on generated datasets through the AI learning platform. As a proposed platform, it is expected to be used for various image-based artificial intelligence researches.

• Korean Journal of Environmental Agriculture
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• v.15 no.4
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• pp.501-505
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• 1996

Azimsulfuron [1H-pyrazole-5-sulfonamide,N-(((4,6-dimethoxy-pyridine-2-yl-aminocarbonyl-4-(2-methyl-2H-tetrazole-5-yl)] is a new sulfonamide herbicide that selectively controls a wide range of weeds in lowland rice (Oryza sativa). It effectively controlled Cyperus serotinus, Eleocharis kuroguwai, Sagittaria pygmaea, S. trifolia, and Scirpus juncoides at 7.5 - 30 g ai/ha. In the tolerance test on grasses carried out in a nutrient solution containing 0.3 - 30 ppm of azimsulfuron, greater inhibition occurred in roots of both rice and barnyardgrass (Echinochloa crus galli) than in shoots. However, rice root was approximately 5-fold more tolerant than that of barnyardgrass. The downward movements as determined by 50% growth inhibition of S. juncoides were 4-cm in clay loam and 6.5-cm in sandy loam soil with 3-cm/day leaching for 3 days. When incubated at 20 and $30^{\circ}C$, the residual effect in clay loam soil lasted for 30 and 21 days, respectively. In a soil column applied at 15 g ai/ha of azimsulfuron followed by 3-cm/day leaching for 3 days, dry weights of S. trifolia emerging at 5, 10, and 15-cm depth were reduced to 87, 85, and 79% of the corresponding untreated control, respectively. Susceptibility of S. trifolia to azimsulfuron did not greatly vary with the emergence depth.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.237-246
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• 2020

this paper, a data modeling method based on decision-making conditions is proposed for making combat and battlefield management systems to be intelligent, which are also a decision-making support system. A picture of a robot seeing and perceiving like humans and arriving a point it wanted can be understood and be felt in body. However, we can't find an example of implementing a decision-making which is the most important element in human cognitive action. Although the agent arrives at a designated office instead of human, it doesn't support a decision of whether raising the market price is appropriate or doing a counter-attack is smart. After we reviewed a current situation and problem in control & command of military, in order to collect a big data for making a machine staff's advice to be possible, we propose a data modeling prototype based on decision-making conditions as a method to change a current control & command system. In addition, a decision-making tree method is applied as an example of the decision making that the reformed control & command system equipped with the proposed data modeling will do. This paper can contribute in giving us an insight of how a future AI decision-making staff approaches to us.

• The Korean Journal of Pesticide Science
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• v.2 no.1
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• pp.79-84
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• 1998

This study was conducted to obtain information on occurrance ecology of Aneilema keisak Hassk. and establish its effective control system in direct-seeded rice. Optimum germination temperature and storage temperature to break dormancy were $22^{\circ}C$ and $4^{\circ}C$, respectively. Optimum content of soil moisture for germination was 35%(w/w) in clay loam soil, where recorded 85% of germination rate. In the inter-specific competition between density of Aneilema keisak Hassk. and constant rice-mixed stands, the plant height and the tiller of rice were decreased with increase of density of Aneilema keisak Hassk. Among the herbicides tested, piperophos+dimethametryn(8.2+2.2 g ai/10a) GR and. pyrazosulfuron-ethyl+mefenacet(2.1 + 105 g ai/10g) GR were found to be effective for control of Aneilema keisak Hassk., having more herbicidal effect with an earlier application.

• Journal of Embryo Transfer
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• v.20 no.3
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• pp.297-302
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• 2005

Artificial insemination (AI) technology has widely applied in domestic animals including cattle for production and preservation of valuable animals. However, AI in goat was poorly studied. We here compared two different estrus synchronization methods, CIDR (controlled intravaginal drug release)+$PGF_2a$ and CIDR+PMSG, in Korean native goats. After treatment of CIDR+$PGF_2a$ or CIDR+PMSG for estrus synchronization, AI was applied to 38 recipients. Of 18 recipients treated with CIDR+$PGF_2a$, 4 recipients produced offsprings. However, no pregnancy was obtained in 20 recipients treated with CIDR+PMSG. Especially, after treatment of CIDR+$PGF_2a$, AI with fresh or frozen sperm showed markedly higher parturition rates than that of CIDR+PMSG. From these results, we suggest that combination of CIDR and $PGF_2a$ could be used as good method for estrus synchronization in Korean native goats.

• Korean Journal of Weed Science
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• v.16 no.1
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• pp.36-41
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• 1996

The experiments were conducted to identify the herbicidal effect of 2,4-D{ (2,4-dichlorophenoxy) acetic acid}, 2,4-D ethylester {ethyl 2,4- dichlorophenoxy acetate} and bentazon{3- isopropyl-1H-2,1,3- benzothiazin- 4-(3H)one 2,2-dioxide} on Sagittaria trifolia. Both 2,4-D and 2,4-D ethylester could completely control S. trifolia when applied before 80 days after transplanting of the tubers (DAT), but the weeding effect by bentazone decreased when applied after 60 DAT. 2,4-D and 2,4-D ethylester were effectively translocated from the treated parts to growing point. They killed S. trifolia completely when applied at 80 DAT under 3cm standing water depths, but the controlling effect by bentazone decreased at deeper than 1cm standing water depth. Formation of S. trifolia tuber was effectively suppressed with 2,4-D at 7g ai/10a and 2,4-D ethylester at 6g ai/10a when applied 60 DAT.

• Korean Journal of Environmental Agriculture
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• v.11 no.2
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• pp.146-154
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• 1992

DDVP, malathion and diazinon ECs which differ in chemical compositions and moisture contents were formulated with nine emulsifiers, three solvents(xylene, cyclohexanone and DMF) and epichlorohydrin. For the studies of decomposition characteristics, these technicals and ECs were subjected to the test under elevated temperature at $54^{\circ}C$ for 15 days and $38^{\circ}C$ for 90 days respectively. DDVP technical was rapidly decomposed in early stage of thermoaccelerated test at $54^{\circ}C$, but the decomposition rate slowed down with time. As for malathion and diazinon technicals, the longer they were incubated, the more decomposed. The decomposed AI in ECs increased with solvent polarity. The increment of moisture content in ECs accelerated the decomposition of AI, and that was remarkable especially in diazinon ECs. Addition of emulsifiers increased the moisture content to be accelerated the decomposition of AI, but the decomposition of AI was more affected by the kind of emulsifier than by the moisture content of emulsifier, Stabilizing effect by epichlorohydrin was distingished in malathion and diazinon ECs, but there was no effect in other solvent-based formulation except xylene.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1364-1370
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• 2006

Recently, Adopting Accounting Information Systems(AIS) has spread rapidly for efficient and rational making decision in the business organization. There are many types of AIS. These are from simple package to integrated packages which are including HR, Product, Sales and Distribute. In case of big enterprises, ERP systems have been implemented and attention is now being directed as to AIS module. AIS module is not easy to change its form, therefore this module need to be considered enough when it comes to the corporations. However there we few standard fer this module as a successful information systems. This study analyze critical factors of certain companies when the companies were implementing AIS and based on this analysis, this study suggest a framework for successful implementation of AIS Using Case Study. 42 AIS adopted companies are surveyed and their factors' correlations are analyzed by mean analysis and factor analysis in this study. As a result of this study, when a company adopt AIS, criteria or particularities for the adoption are more important than environment of the company. Thus, it is significant to empirically prove previous studies' factors relation and importance relations for successful AIS implementation through empirical method in this study.

• Journal of Bio-Environment Control
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• v.32 no.3
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• pp.217-225
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• 2023

This experiment was conducted to investigate the effects of microwave irradiation on the growth and secondary metabolite contents of lettuce seedlings. Seedlings at three weeks after sowing were treated by a microwave oven for 0, 4, 8, and 12 seconds with 200 W. After cultivation in a close plant production system for 4 weeks, plant growth measurements and secondary metabolite analysis were performed. The results showed that the fresh and dry weights of the shoot and root, leaf area, leaf length, and the number of leaves were decreased as increasing the microwave treatment times. Chlorophyll a and b, total carotenoids were increased and total phenolics were decreased at the 12-second treatment compared to the 4-second treatment. Total flavonoid contents were decreased at the 8-second treatment compared to the control. These results suggest that the changes in the levels of secondary metabolites were caused by oxidative stress. Although there was no significant difference in secondary metabolite contents excluding total flavonoid contents on the microwave treatments compared to the control, the significant difference suggests that the microwave treatment of 200 W and 2.45 GHz may alter secondary metabolite contents of lettuce after 4 weeks.

• The Journal of Bigdata
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• v.8 no.1
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• pp.49-59
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• 2023

There are various items in the safety and health standards of the manufacturing industry, but they can be divided into work-related diseases and musculoskeletal diseases according to the standards for sickness and accident victims. Musculoskeletal diseases occur frequently in manufacturing and can lead to a decrease in labor productivity and a weakening of competitiveness in manufacturing. In this paper, to detect the musculoskeletal harmful factors of manufacturing workers, we defined the musculoskeletal load work factor analysis, harmful load working postures, and key points matching, and constructed data for Artificial Intelligence(AI) learning. To check the effectiveness of the suggested dataset, AI algorithms such as YOLO, Lite-HRNet, and EfficientNet were used to train and verify. Our experimental results the human detection accuracy is 99%, the key points matching accuracy of the detected person is @AP0.5 88%, and the accuracy of working postures evaluation by integrating the inferred matching positions is LEGS 72.2%, NECT 85.7%, TRUNK 81.9%, UPPERARM 79.8%, and LOWERARM 92.7%, and considered the necessity for research that can prevent deep learning-based musculoskeletal diseases.