• Journal of the Korea Society of Computer and Information
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• v.9 no.2
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• pp.69-79
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• 2004

For the successful IT operation outsourcing there need appropriate metrics on which both of the service clients and provider agree. The metrics are used to set up the service level objectives, which are manifested in the service level agreement with price. A study of metrics is necessary for the following reasons: First, most of the metrics used today were introduced in the early years of computers and are not satisfactory to both of the service providers and clients. Second, metrics represent the performance of system components but not end-user satisfaction. Third, because the service provider leads the outsourcing agreement, the objectives are specified more favorable to the provider. The objectives should be based on metrics that both sides fully understand and agree on.

• Convergence Security Journal
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• v.12 no.4
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• pp.25-31
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• 2012

The SSE-CMM model is how to verify the level of information protection as a process-centric information security products, systems and services to develop the ability to assess the organization's development. The CMM is a model for software developers the ability to assess the development of the entire organization, improving the model's maturity level measuring. However, this method of security engineering process improvement and the ability to asses s the individual rather than organizational level to evaluate the ability of the processes are stopped. In this research project based on their existing research information from the technical point of view is to define the maturity level of protection. How to diagnose an information security vulnerabilities, technical security system, verification, and implementation of technical security shall consist of diagnostic status. The proposed methodology, the scope of the work place and the current state of information systems at the level of vulnerability, status, information protection are implemented to assess the level of satisfaction and function. It is possible that measures to improve information security evaluation based on established reference model as a basis for improving information security by utilizing leverage.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.334-344
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• 2020

This study explored students' subject interests and task difficulty recognition levels changed when they provided tasks with Keller's ARCS motivation design in PBL(Problem Based Learning) class. This study participant were 79 college students majoring in teaching profession. Experimental and comparative groups were formed for the study. Primary PBLs were conducted to measure prior levels of subject interest and task difficulty recognition. Secondary PBLs were performed to verify the effectiveness of the ARCS motivation design task. The experimental group performed the tasks that reflected the ARCS motivation design. Collected data were analyzed using ANCOVA. As a result, the experimental group had a higher level of subject interest and a lower level of task difficulty recognition.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.471-482
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• 2019

The purpose of this study was to analyze the effect on the level of subject interest and interaction when supporting scaffolding considering learner characteristics in PBL. For the study, the participants were 86 college students. The research procedure was as follows. First, we divided the experimental group and the comparative group. A primary PBL was used to measure prior levels of subject interest and interaction. Secondary PBL was performed to verify treatment effect. In the second PBL, the experimental group received cognitive, metacognitive, and motivation scaffolding that reflected the learner's characteristics. The control group received random scaffolding. Subject interest and interaction were measured after the end of the second PBL. Collected data were analyzed using ANCOVA. As a result, the interest and interaction level of the experimental group was analyzed to be higher than that of the control group.

• Education of Primary School Mathematics
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• v.25 no.4
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• pp.433-457
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• 2022

An effective teacher community helps the participating teachers improve their instructional quality. This study reports a teacher community consisting of 15 elementary school teachers and one teacher educator. This paper analyzed 15 mathematics lessons in which the teachers implemented the five practices for orchestrating productive mathematics discussions by Smith and Stein (2018) based on the grade-specific discussions as well as the whole community's discussions. The results of this study showed that the overall levels of each practice either increased gradually or maintained at the highest Level 4, as mathematics lessons had been implemented. Specifically, the following practices were quite successful: setting goals for a lesson, selecting an appropriate task, anticipating student responses, and selecting student solutions. However, both sequencing and connecting student solutions were implemented at various levels. Monitoring student work tended to remain at Level 2 which included incorrect implementation of the practice. This paper closes with implications related to the skillful implementation of the five practices through a teacher community.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.55-63
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• 2023

In this paper, we propose a function and service of the Disaster Crisis Alert Management System that automatically analyzes the situation judgment criteria to issue a disaster crisis alert and a plan to operate in the National Disaster Management System(NDMS). In the event of a disaster, a crisis alert(interest-caution-alert-serious) is issued according to the crisis alert level. In order to automatically analyze and determine the crisis alert level, first, data collection, crisis alert level analysis, crisis alert level judgment, and disaster crisis alert management system that expresses the crisis alert level by spatial scale(province, city, district) were implemented. The crisis alert level was analyzed and expressed in two ways by applying the intelligent crisis alert level(determination of regional sensitivity, risk level, and crisis alert level) and the crisis alert standard of the crisis management manual(province-level standard setting). Second, standard metadata, linkage of situation information of target) and API standards for data provision are presented to jointly utilize data linkage and crisis alert data of the disaster and safety data sharing platform so that it can be operated within the NDMS.

• Journal of the Korean Regional Science Association
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• v.39 no.3
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• pp.49-63
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• 2023

This study investigates the occupational mobility patterns of young wage employees at the local level of the labor market and empirically examines the interplay between worker-level and local labor market-level determinants between 2010 and 2020. The 4th to 14th waves of the Youth Panel 2007 were integrated with the Korea Network for Occupations and Workers and the Local Area Labor Force Survey for estimation using hierarchical linear model. Our results indicate that Gross Regional Domestic Product per capita is key determinant of occupational upward mobility. Also, Estimates of employment size, population density, and the unemployment rate of local labor market have different effects depending on the education level and occupational location of youth workers, suggesting that the effects of structural factors of local labor market may not be distributed equally among all youth wage workers. The findings have policy implications regarding the recent rise in inequality and polarization in local labor markets.

• Journal of Practical Engineering Education
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• v.16 no.5_spc
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• pp.611-618
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• 2024

The rapid advancement of deep learning has significantly enhanced the performance of single image super-resolution (SR). However, most existing deep learning-based image SR networks only facilitate information flow in the forward direction, which limits their performance. In this study, we investigate a feedback network for precise image SR. This feedback network effectively enhances lower-level feature representation by rerouting multiple higher-level features. We sequentially construct several Residual Density Modules and deploy them repeatedly over time. Multiple feedback connections between two adjacent time steps leverage high-level features captured within a large receptive field to refine low-level features lacking sufficient contextual information. A carefully designed feedback module efficiently selects and enhances valuable information from the rerouted high-level features, thereby improving low-level features with enriched high-level information. Extensive experiments demonstrate that the proposed method outperforms existing approaches in both objective and subjective evaluations.

• Korean Journal of Poultry Science
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• v.46 no.3
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• pp.205-213
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• 2019

The objective of this experiment was to investigate the effect of dietary apparent metabolizable energy and protein concentrations on growth performance, carcass characteristics, and nutrient digestibility of Korean native ducks. In $2{\times}2$ factorial arrangement, 1-d-old Korean native ducks were completely randomized to experimental diets with 2,800 and 2,900 kcal of AMEn/kgofdiet, respectively, from 0 to 21 d of age. From 22 to 56 d of age, experimental diets 3,000 and 3,100 kcal of, and contained 16% and 17% CP, respectively. Feed and water were provided ad libitum. And BW gain were higher during 0 to 21 d (P<0.01) in AME 2,800 kcal/kg and CP 21% diet treatment than other treatments. As AME increased from 2,800 to 2,900 kcal/kg, feed intake was decreased (P<0.05) during 0 to 21 d. From 22 to 56 d of age, the, BW gain, feed intake and were not different among the treatments. Carcass ratio, relative weight per 100 of BW (wing, back, neck, breast, and leg), nutrient digestibility, meat color and nutrient composition in breast meat the treatments. In conclusion, diets with 2,800 kcal of AME/kg and 21% CP or with 3,000 kcal of AME/kg and 17% CP at 0 to 21 d and 22 to 56 d, respectively, were more efficient.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.371-378
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• 2009

A lot of learning systems are applying and verify evaluating the item difficulty to increase learner's learning effect. But most of this methods ware calculated the item difficulty when it analyze the learning result before or after learning. So, it is hard to support learning contents with changing item difficulty during learning to learner. In this research, we proposed the method that system can support learning contents to next learning to fit leaner's level immediately as apply to calculate item difficulty during the proceed learning. Through this method, learner could supported learning contents by calculated difficulty through pre-test and it caused this method was helped learner to increase learning effect.