• 제어로봇시스템학회:학술대회논문집
• /
• 1993.10a
• /
• pp.754-759
• /
• 1993

An adaptive model predictive control (AMPC) strategy using auto-regression moving-average (ARMA) models is presented. The characteristic features of this methodology are the small computer memory requirement, high computational speed, robustness, and easy handling of nonlinear and time varying MIMO systems. Since the process dynamic behaviors are expressed by ARMA models, the model parameter adaptation is simple and fast to converge. The recursive least square (RLS) method with exponential forgetting is used to trace the process model parameters assuming the process is slowly time varying. The control performance of the AMPC is verified by both comparative simulation and experimental studies on distillation column control.

• The Journal of the Korea Contents Association
• /
• v.8 no.5
• /
• pp.61-71
• /
• 2008

It is often claimed that the descriptive way of documentation is insufficient to define software requirements as being unambiguous. This is caused by not only the difference of knowledge and understanding of the stakeholder as to system but also the difference in the way of documentation like method of representation as well as depth of description. The study explains the process and results of applying a diagraming tool like UML to improve the requirements of GLORY(GLObal Resource management sYstem) initially defined in descriptive way. Especially, the result shows that the requirements are more accurately improved with the good hierarchies and well-leveled functionalities, with the help of diagraming tool, expecting easy maintenance of requirements and prevention of omission of requirements.

• Asian-Australasian Journal of Animal Sciences
• /
• v.31 no.2
• /
• pp.252-262
• /
• 2018

Objective: An experiment was conducted to evaluate dietary supplemental trace mineral source and deletion on mineral content in tissues. Methods: Weanling crossbred pigs (n = 144; 72 barrows and 72 gilts; body weight [BW] = $7.4{\pm}1.05kg$) were used. A basal diet was prepared, and trace mineral premix containing either inorganic (ITM) or organic (OTM) trace minerals (Cu, Fe, Mn, and Zn) was added to the basal diet. Pigs were blocked by sex and BW and randomly allotted to 24 pens for a total of 6 pigs per pen, and fed a diet containing either ITM or OTM supplemented at the 1998 NRC requirement estimates for each of 5 BW phases (Phase I to V) from 7 to 120 kg. The trace mineral supplementation was deleted for 6, 4, 2, and 0 wk of Phase V; regarding nutrient adequacy during this phase, the indigenous dietary Fe and Mn was sufficient, Cu was marginal and Zn was deficient. Results: At the end of Phase IV, Mn content (mg/kg on the dry matter basis) was greater (p<0.05) in heart (0.77 vs 0.68), kidney (6.32 vs 5.87), liver (9.46 vs 8.30), and longissimus dorsi (LD; 0.30 vs 0.23) of pigs fed OTM. The pigs fed OTM were greater (p<0.05) in LD Cu (2.12 vs 1.89) and Fe (21.75 vs 19.40) and metacarpal bone Zn (141.86 vs 130.05). At the end of Phase V, increased length of deletion period (from 0 to 6 wk) resulted in a decrease (linear, p<0.01) in liver Zn (196.5 to 121.8), metacarpal bone Zn (146.6 to 86.2) and an increase (linear, p<0.01) in heart Mn (0.70 to 1.08), liver Mn (7.74 to 12.96), and kidney Mn (5.58 to 7.56). The only mineral source by deletion period interaction (p<0.05) was observed in LD Zn. Conclusion: The results demonstrated differential effects of mineral deletion on tissue mineral content depending on both mineral assessed and source of the mineral.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.5
• /
• pp.115-126
• /
• 2012

It is very important to trace whether all the requirements has been reflected in the developed system. However, most existing researches apply Requirement Traceability Matrix(RTM) to the whole SDLC according to the development methodology. RTM has no practical value because it has not only too many pursuit items but also its tracking method is very complicated and the practical management in developing the information system is not accomplished nearly. Therefore, in this study, we proposed an enhanced RTM which was composed of only necessary items and allow us to manage the applied area effectively from Request for Proposal(RFP) or the proposal stage to SDLC stage then confirmed the effect through six actual applicable cases of information system development project of "K" company.

• Journal of Nutrition and Health
• /
• v.41 no.3
• /
• pp.242-253
• /
• 2008

It is a common clinical practice to recommend taking iron supplements for pregnant women during gestation. Although it is required to ensure adequate iron stores during pregnancy, there has been some debate over the interference effects of excessive iron load, because it is possible to compete in the transport in the intestine and placenta and in binding to serum proteins of other trace minerals. In this study, maternal and neonatal serum concentrations of Fe, Zn, Cu, Se, Cr, Mn, and Co were assessed along with maternal Fe intakes. A total of 124 pregnant women and their term neonates participated voluntarily in this research. The women were divided into one of the three groups {high Fe intake (HFI), median Fe intake (MFI), and low Fe intake (LFI)} by their total Fe intakes and one of the two groups (Anemic and Normal) by their Fe nutritional status. All the data were compared among the three groups and between the two groups also. Total Fe intakes of HFI, MFI, and LFI groups were 140.8 ${\pm}$ 76.1, 68.0 ${\pm}$ 11.2, and 30.2 ${\pm}$ 8.6 mg/day, respectively. Those of Anemic and Normal groups were 90.1 ${\pm}$ 74.8 and 86.6 ${\pm}$ 46.8 mg/day, respectively. Maternal Hb concentration and Hct were not significantly different among HFI, MFI, and LFI groups but those were significantly different between Anemic and Normal groups. However, neonatal Hb concentration was not significantly different among HFI, MFI, and LFI groups and between Anemic and Normal groups either. Maternal serum Fe concentrations of the three groups, HFI, MFI, and LFI, were similar but that of Anemic group was significantly lower compared to Normal group. However, there was no significant difference in neonatal serum Fe concentrations among the three groups and between the two groups either. Serum concentrations of the other trace minerals in both mothers and neonates were not significantly different among HFI, MFI, and LFI groups and between Anemic and Normal groups. In addition, in the maternal serum, Fe concentration was positively correlated to Zn and Se concentration, respectively. As for the neonatal serum, Fe concentration showed a positive correlation to Zn, Cu, Mn, Se, and Co concentration, respectively. No trace mineral concentration was found to correlate negatively to Fe concentration in both maternal and neonatal serum, The results in this study indicate that Fe intakes of pregnant women, even if it is considerably above the level of estimated average requirement (EAR), may not affect serum Fe concentration in both mothers and neonates. In addition it might not influence adversely on the availability of other trace minerals including Zn and Cu in both mothers and neonates.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.20 no.4
• /
• pp.93-99
• /
• 2020

It seems to be increased rapidly that practical uses of intelligent Dron for public mission performance such as surveillance, prevention of disaster accident, relief etc with Dron technology development. Dron is needed for major technology realization of detection and trace technology of target, flight control and obstacle avoidance during flighting, detection and control of landing point functions to use smart safety-city platform construction. This dron system cause a great ripple effect technically and promote industrialization in the field of new technology. In this paper, an effective analysis and design method of dron system software will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.

• Journal of Aquaculture
• /
• v.1 no.2
• /
• pp.109-119
• /
• 1988

Following the previous study on the nutritional quantity of Al, Fe, and their interrelationships with other trace metals, this study was conducted to determine the effect of supplementation of Cu and Mn to fish meal-diets on the growth of Japanese eel. The feeding experiment to determine Cu requirement was conducted using white fish meal-diets supplemented with 0, 5, 10, or 20 $\mu$g/g cupric sulfate, and that to determine Mn requirement was conducted by suppling the diet with 0, 10, 20, or 40 $\mu$g/g manganese sulfate. The results revealed that the fish on diet annexed with 5 $\mu$g/g of Cu were observed to have the best growth among these groups. In case of Mn, 20 $\mu$g/g of supplementary level promoted growth rate and 40 $\mu$g/g of diet resulted in the highest feed efficiency. On the other hand, the highest level of Cu (20 $\mu$g/g), and Mn (40 $\mu$g/g) supplementary diets did not expressed adverse effect on growth. These results indicated that the suitable Cu and Mn supplementary concentrations are 20 $\mu$g/g and 30 $\mu$g/g of formulated the white fish meal-diet respectively. The white fish meal had 1.6 $\mu$g/g of Cu and 6.1 $\mu$g/g of Mn.

• Journal of Korea Society of Industrial Information Systems
• /
• v.29 no.2
• /
• pp.55-68
• /
• 2024

Plant engineering companies create or refer to requirements documents for each related field, such as plant process/equipment/piping/instrumentation, in different engineering departments. The process-related requirements document includes not only a description of the process but also the requirements of the equipment or related facilities that will operate it. Since the authors and reviewers of the requirements documents are different, there is a possibility that inconsistencies may occur between equipment or parts design specifications described in different requirement documents. Ensuring consistency in these matters can increase the reliability of the overall plant design information. However, the amount of documents and the scattered nature of requirements for a same equipment and parts across different documents make it challenging for engineers to trace and manage requirements. This paper proposes a method to analyze requirement sentences and calculate the similarity of requirement sentences in order to identify semantically identical sentences. To calculate the similarity of requirement sentences, we propose a named entity recognition method to identify compound words for the parts and properties that are semantically central to the requirements. A method to calculate the similarity of the identified compound words for parts and properties is also proposed. The proposed method is explained using sentences in practical documents, and experimental results are described.

• Journal of the Korean Society of Systems Engineering
• /
• v.3 no.2
• /
• pp.9-16
• /
• 2007

To Manage the Defense Acquisition Process more efficiently, DAPA has looked over the applying SE process to the Eagle Acquisition Program. Based on comparing 'Requirement' with 'items suggested in the proposal' in RFP and analyzing the result by using Cradle, those items have been discovered with IPT, actualized and corrected. In addition, the computerized data base system makes easier to trace all changed and more efficiency to manage programs. Therefore, this study using SE in other acquisition program.

• Membrane Journal
• /
• v.6 no.3
• /
• pp.141-156
• /
• 1996

For ultra-pure water, the removal of various impirities is required, and the requirement level is rising year by year. To cope with this problem, various removing technologies and system technologies have been developed and the introduction of new materials for the piping, etc. to form the system have been positively made. For the element technologies to be used for ultra-pure water production, their range will be expanded from the technological and economic viewpoints. Therefore, it is absolutely necessary to develop trace analysis evaluation technologies for ultra-pure water. Especially to raise the analytical level of heavy metals and organic substances is important. It is also important to establish individual analysis methods of organic substances. It is expected that the analytical methods will be established and new treating methods will be put to practical use in the near future.