• Journal of Korean Home Economics Education Association
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• v.23 no.3
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• pp.1-18
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• 2011

The purpose of this study was to develop the evaluation questions to enhance the higher-thinking skills such as decision-making, creative thinking, critical thinking, problem-solving skills and metacognition in the housing area of middle school home economics. Two steps, selection of contents, development of questions and check the validity were adapted to develop the questions. The total of 28 evaluation elements were selected from the validity of contents and questions related to housing in the 9 textbooks based on the 2007 revised curriculum and in the three on-line question banks operated by public institutions. Four guidelines such as using multi-classified table, various materials, question types, and question structures were applied to develop the evaluation questions. The 80 evaluation questions with 175 associated sub questions related to housing were reviewed two times by two professionals to finalize. The five home economics teachers with various teaching experience have evaluated the validity of each 80 questions. The 57(71.3%) questions got 5 point with average of 4,9 out of 5 point-Likert validity scale. The result of high validity of the evaluation questions developed in this study examined by 5 teachers need to apply to students' test in the class.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3626-3632
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• 2010

Some design changes were made to enhance the uniformity of temperature distribution inside the chamber of semiconductor test equipment. The design changes include the installation of adjustable airflow controller inside the chamber, the alignment of the centers of heater and match plate, the change in the size and the shape of holes in match plate base, and the addition of new holes of 2 mm diameter in order to allow airflow directly to the temperature sensors. In order to verify their effects, the temperature distributions inside the chambers were measured using 32 RTD sensors before and after the design changes. The temperature distributions were in the ranges of 87.1 to $91.5^{\circ}C$ ($90{\pm}2.9^{\circ}C$) and 89.5 to $90.8^{\circ}C$ ($90{\pm}0.8^{\circ}C$) before and after the design changes, respectively. The above temperature distribution after design changes was maintained for longer than 15 minutes, which satisfied the target temperature range of $90{\pm}1^{\circ}C$ for longer than 10 minutes.

• Journal of Korea Technology Innovation Society
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• v.13 no.3
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• pp.558-586
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• 2010

This paper analyze the economic effect of R&D investment for the IT Green growth initiatives in Korea, relating to Green growth which is main force for activating in order to durable growth currently. The IT green growth initiatives can be grouped by IT manufacture, IT service, and S/W and computer-related services in the R&D investment and to be analyzed by the RAS forecasting methods. The results indicate that the production-inducing effect is about 31,853 billion won for the IT manufacture, and IT service is about 14,360 billion won, and the next is S/W and computer-related service whose effect is about 4,482 billion won. The import, value added, and employment effect of IT manufacture is also bigger than those of any other sectors in IT. This is because R&D investment in case of IT manufacture is more huge than IT service. Besides, employment-inducing effects show that IT manufacture is highest in 16,596 persons; IT service is secondly highest in 9,000 persons and S/W; lastly, computer-related service is much lower than those of any other sector. So we can conjecture that the long-term initiatives of IT green growth implementation lead to increasing size of benefits in the IT sectors.

• Journal of Korea Multimedia Society
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• v.14 no.1
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• pp.33-43
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• 2011

Routing technologies considering QoS-based hypermedia services have been seen as a crucial network property in next generation optical Internet (NGOI) networks based on IP/dense-wavelength division multiplexing (DWDM). The huge potential capacity of one single fiber. which is in Tb/s range, can be exploited by applying DWDM technology which transfers multiple data streams (classified and aggregated IP traffics) on multiple wavelengths (classified with QoS-based) simultaneously. So, DWDM-based optical networks have been a favorable approach for the next generation optical backbone networks. Finding a qualified path meeting the multiple constraints is a multi-constraint optimization problem, which has been proven to be NP-complete and cannot be solved by a simple algorithm. The majority of previous works in DWDM networks has viewed heuristic QoS routing algorithms (as an extension of the current Internet routing paradigm) which are very complex and cause the operational and implementation overheads. This aspect will be more pronounced when the network is unstable or when the size of network is large. In this paper, we propose a flooding-based unicast and multicast QoS routing methodologies(YS-QUR and YS-QMR) which incur much lower message overhead yet yields a good connection establishment success rate. The simulation results demonstrate that the YS-QUR and YS-QMR algorithms are superior to the previous routing algorithms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.510-519
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• 2019

The aim of this study was to set a defect classification framework and evaluate the defect risks in apartment buildings For this, approximately 15,056 defect items for 133 apartment buildings were examined. As a result of the analysis, the major defect of the RC work was cracks, which were found mainly in public locations. Moreover, the RC work was found to exhibit a high defect risk of water problem and surface appearance, which are highly connected with cracks. Second, the finish work has a high defect risk because it is composed of various work types, and there are many kinds of materials and construction parts involved. Third, the major defects of the waterproof work were incorrect installation and missing tasks, which have high defect risks in the garage. This is because defects that require rework occur mainly in the underground garage. Based on these results, this study proposed countermeasures for defect risk management to be considered in the construction, handover, post-handover, and occupancy phases. These have been set in detail based on the three zones: low frequency high severity (LFHS), low frequency low severity (LFLS), and high frequency low severity (HFLS).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.157-163
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• 2019

This study determines the difference in prevalence of anemia and hemoglobin concentration between chronic obstructive pulmonary disease (COPD) and control groups in the elderly. Moreover, this study also examines the prevalence of anemia and hemoglobin concentration according to the severity of COPD in the elderly. Medical records of 8150 participants who answered the 7th National Health and Nutritional Survey conducted in 2016 were reviewed, and a total of 694 participants was included in the analysis. Participants were classified into two groups: COPD and control groups. Laboratory studies on hemoglobin, hematocrit, red blood cell concentration and prevalence of anemia were collected. Subgroup analysis was also conducted according to the severity of COPD. No significant differences were determined for the prevalence of anemia and hemoglobin concentration between both groups. Hemoglobin concentration was significantly higher in the COPD group. Although not statistically significant, there was a tendency for decrease in the prevalence of anemia and increase in the hemoglobin concentration as the severity of COPD increased. Our findings present specific data about the prevalence of anemia and hemoglobin concentration in elderly patients with COPD. Hence, we propose that occurrence of anemia in elderly patients with COPD requires further evaluation of the causes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.32-39
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• 2018

Raman spectra exhibit differences in intensity depending on the measuring equipment and environmental conditions even for the same material. This restricts the pattern recognition approach of Raman spectroscopy and is an issue that must be solved for the sake of its practical application, so as to enable the reusability of the Raman database and interoperability between Raman devices. To this end, previous studies assumed the existence of a transfer function between the measurement devices to obtain a direct spectral correction. However, this method cannot cope with other conditions that cause various intensity distortions. Therefore, we propose a classification method using linear intensity calibration which can deal with various measurement conditions more flexibly. In order to evaluate the performance of the proposed method, a Raman library containing 14033 chemical substances was used for identification. Ten kinds of chemical Raman spectra measured using three different Raman spectroscopes were used as the experimental data. The experimental results show that the proposed method achieves 100% discrimination performance against the intensity-distorted spectra and shows a high correlation score for the identified material, thus making it a useful tool for the identification of chemical substances.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.634-640
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• 2020

Failure analysis and heat-resistant were performed for an electric fuel pump that is installed in the fuel tank to transfer fuel to the engine of combat vehicles. The fuel pump with a DC motor was disassembled and inspected to determine the cause of failure. The failure phenomenon was classified into three categories based on observations of the inside of the housing: burnt winding, quick brush abrasion, and fuel leak into the pump. Based on the inspection results, it was estimated that overheating was the main cause of failure. The thermal test was conducted under the no-load condition in 24 hours, and the thermal sensor was installed on the stator surface and the brush holder to check the possibility of damage to the winding due to overheating. When the ambient temperature of the fuel pump was set to 68 ℃, the stator temperature increased to 135.9 ℃, and the winding of the motor was almost damaged. The test results confirmed the lack of heat resistance of fuel pump windings, and suggested that the type F of insulation class (below 155 ℃) of the windings and varnish should be replaced with type C or higher that can be used above 180 ℃.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.728-739
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• 2020

Using webometric big data, this study examines the diversity of online information sources about the novel coronavirus causing the COVID-19 pandemic. Specifically, it focuses on some 28 countries where confirmed coronavirus cases occurred in February 2020. In the results, the online visibility of Australia, Canada, and Italy was the highest, based on their producing the most relevant information. There was a statistically significant correlation between the hit counts per country and the frequency of visiting the domains that act as information channels. Interestingly, Japan, China, and Singapore, which had a large number of confirmed cases at that time, were providing web data related to the novel coronavirus. Online sources were classified using an N-tuple helix model. The results showed that government agencies were the largest supplier of coronavirus information in cyberspace. Furthermore, the two-mode network technique revealed that media companies, university hospitals, and public healthcare centers had taken a positive attitude towards online circulation of coronavirus research and epidemic prevention information. However, semantic network analysis showed that health, school, home, and public had high centrality values. This means that people were concerned not only about personal prevention rules caused by the coronavirus outbreak, but also about response plans caused by life inconveniences and operational obstacles.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.1-8
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• 2020

In recent years, due to the exponential increase in internet data, many fields such as deep learning have developed, but side effects generated as commercial advertisements, such as viral marketing, have been discovered. This not only damages the essence of the internet for sharing high-quality information, but also causes problems that increase users' search times to acquire high-quality information. In this study, we define advertisement as "a text that obscures the essence of information transmission" and we propose a model for filtering information according to that definition. The proposed model consists of advertisement filtering and advertisement filtering performance improvement and is designed to continuously improve performance. We collected data for filtering advertisements and learned document classification using KorBERT. Experiments were conducted to verify the performance of this model. For data combining five topics, accuracy and precision were 89.2% and 84.3%, respectively. High performance was confirmed, even if atypical characteristics of advertisements are considered. This approach is expected to reduce wasted time and fatigue in searching for information, because our model effectively delivers high-quality information to users through a process of determining and filtering advertisement paragraphs.