• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.729-736
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• 2023

Traditionally, Germany, a conservative welfare state, has pursued a male breadwinner model based on gender division of labor. For a long time, Germany tried to address low fertility through economic support centered on cash benefits, but it was not successful. In 2007, the German government began to shift the paradigm of family policy for work-life balance under the slogan of "A mix of time policy, income transfer, and infrastructure." When the issue of low birth rates emerged as a national concern in Germany, there was a growing social sentiment that not only the government but also private companies should contribute to increasing fertility by providing family-friendly personnel policies and working conditions. Private companies have been voluntarily improving family-friendly working conditions beyond legal obligations, aiming to secure personnel and prevent turnover. Germany's fertility rate is currently rising toward the European average level in 2023, which can be attributed to the government's work-life balance policies and the participation of private companies. In terms of improving work-life balance policies in Korea, it has been proposed to change the perception of the need for fathers to participate in child care, to make parental leave compulsory for men, to guarantee employment for women after childbirth, to expand child care facilities, and to revitalize family-friendly policies in companies.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.493-499
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• 2023

Trade credit refers to a transaction where a product supplier allows an distributor to defer payment for a certain period of time for the purchase cost of the products. This practice is generally permitted as a means of differentiation between competing companies. Such trade credit is commonly granted based on the volume of transactions, aiming to increase customer orders. From the perspective of the distributor, trade credit allows for a deferred payment period for the purchase cost, leading to cost savings in inventory investment. These cost savings in inventory investment can be a factor in reducing selling prices with the aim of increasing customer demand. In this study, we analyze a model that determines the optimal selling price and order quantity from the perspective of the distributor, assuming that the supplier allows a deferred payment period dependent on the transaction volume. We assume that the final customer's annual demand exhibits an exponential decrease with respect to the distributor's selling price, using a constant price elasticity function. To analyze the problem, we assume that the product deteriorates at a constant rate over time and aim to establish an inventory model for the intermediate distributor. We also want to analyze the impact of deterioration on the inventory policies of the intermediate distributor.

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.63-73
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• 2023

This study aimed to investigate factors influencing depressive symptoms among middle-aged women based on walking and nonwalking. The participants of the study were 56,007 women aged 40-64 years. A complex sample statistical analysis was conducted. Notably, 48.9% of middle-aged women were in the walking group and 51.1% were in the nonwalking. In the nonwalking group, relative to the walking group, more people had high school diploma as their highest level of education, and were 40-49 years old, unemployed, and public assistance recipients than in the walking group. In addition, in the nonwalking group, more people had sleeping durations of less than 7 hours, perceived stress, and depressive symptoms than in the walking group. Factors influencing depressive symptoms were identified as less than 7 hours of sleeping duration and high perceived stress in both the walking and nonwalking groups, and the degree of influence was higher in the walking group than in the non-walking group, suggesting than further studies are needed to identify the cause. The results confirmed that perceived stress and depressive symptoms in middle-aged women could be reduced by walking. Therefore, if middle-aged women continue to engage in walking practices appropriate for them, it will enhance their walking rate, reduce stress, and improve their depressive symptoms.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.293-303
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• 2014

The mobile game market is fast growing after the Kakao game launched. Especially, the market is placed at the second highest by occupying 33.1% of the market. However, the rate of the total sales amount is only 6%, showing quite an imbalance between the market occupancy and the sales amount. This means that the profit-making models are not stabilized yet in the mobile game market. The absence of profit-making models can be ascertained by the relationship of DAU and sales ranking. There are several games which are ranked at DAU Top10 among Google free games, but not ranked at top 10 among sales amounts. On the other hand, there are several games which are low in DAU ranking but high in sales amount ranking. This result shows that there is no direct interrelation between the product attractiveness which users feel and the profit-making models in the market. This study compared the Google play free games which are ranked at top 10 in terms of DAU ranking and sales amount ranking to find out the factor which causes the imbalance between the DAU ranking and sales amount ranking. Based on this outcome, this study presents the reference point for the design of profit-making models on behalf of the manufacturers who wish to launch into the mobile game market in the future.

• Journal of Intelligence and Information Systems
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• v.9 no.1
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• pp.227-249
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• 2003

Prediction of corporate failure using past financial data is a well-documented topic. Early studies of bankruptcy prediction used statistical techniques such as multiple discriminant analysis, logit and probit. Recently, however, numerous studies have demonstrated that artificial intelligence such as neural networks can be an alternative methodology for classification problems to which traditional statistical methods have long been applied. In building neural network model, the selection of independent and dependent variables should be approached with great care and should be treated as model construction process. Irrespective of the efficiency of a teaming procedure in terms of convergence, generalization and stability, the ultimate performance of the estimator will depend on the relevance of the selected input variables and the quality of the data used. Approaches developed in statistical methods such as correlation analysis and stepwise selection method are often very useful. These methods, however, may not be the optimal ones for the development of neural network model. In this paper, we propose a genetic algorithms approach to find an optimal or near optimal input variables fur neural network modeling. The proposed approach is demonstrated by applications to bankruptcy prediction modeling. Our experimental results show that this approach increases overall classification accuracy rate significantly.

• The Korean Journal of Pesticide Science
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• v.21 no.1
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• pp.17-25
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• 2017

Dissipation pattern and biological half-lives of fungicides boscalid and pyraclostrobin were calculated on jujube. The pesticides were sprayed on jujube in two different field at the standard rate, respectively. The raw agricultural commodities were harvested at 0 (2 hr), 1, 3, 5, 7, 10 and 14 days after treatment, and analyzed by HPLC/DAD. The method limit of quantification (MLOQ) was $0.02mg\;kg^{-1}$ for boscalid and pyraclostrobin. The recovery ranged 101.8~109.3% with below 5% of CV (Coefficient of variation) for boscalid and 104.2~115.4% with below 5% of CV for pyraclostrobin. An average initial deposit at field 1 and field 2 samples were observed 0.40 and $0.48mg\;kg^{-1}$ for boscalid and, 0.76 and $0.57mg\;kg^{-1}$ for pyraclostrobin, respectively. The biological half-lives of field 1 and field 2 were 11.0 and 13.2 day for boscalid, and 6.1 and 12.7 days for pyraclostrobin.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.207-215
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• 2017

With rapid development of IT technology and biotechnology, human lifespan is extended rapidly, and we are living in the era where aging becomes the social issue. Due to this aging problem, manpower is mainly replaced by Automated Guided Vehicles (AGV) in manufacturing factories or warehouse logistics transportation. Rate of AGV use increases sharply every year. AGVs, which were used only in Smart Factories, extends its usage into indoor and outdoor operation by changing their usages to container transportation that can carry huge containers in the harbor. With the expansion of AGVs usage, the importance of RCS (Remote Control System) is also increased. In this study, we surveyed and analyzed the characteristics and technology trends of technical features of AGV's RCS that are developing in various ways to establish quality evaluation system of AGV RCS. Based on this, and by referring to international quality assessment standards, ISO/IEC 25000 series, we derived evaluation items on functional suitability and usability to secure reliability of AGV RCS. Also, it is our intention to develop evaluation model using those derived usability and reliability evaluation items.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.183-190
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• 2016

This paper proposes algorithm to reduce the computing time in a neural network that reduces transmission of data for tracking mobile objects in surveillance networks in terms of detection and communication load. Object Detection can be defined as follows : Given image sequence, which can forom a digitalized image, the goal of object detection is to determine whether or not there is any object in the image, and if present, returns its location, direction, size, and so on. But object in an given image is considerably difficult because location, size, light conditions, obstacle and so on change the overall appearance of objects, thereby making it difficult to detect them rapidly and exactly. Therefore, this paper proposes fast and exact object detection which overcomes some restrictions by using neural network. Proposed system can be object detection irrelevant to obstacle, background and pose rapidly. And neural network calculation time is decreased by reducing input vector size of neural network. Principle Component Analysis can reduce the dimension of data. In the video input in real time from a CCTV was experimented and in case of color segment, the result shows different success rate depending on camera settings. Experimental results show proposed method attains 30% higher recognition performance than the conventional method.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.535-541
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• 2020

A conventional elastic material replacement and performance evaluation are very complicated and time-consuming, and it is difficult to know when to replace the elastic material in advance. By comparing with the product limit and the functional limit, the necessity of elastic material replacement and the improvement of track support stiffness according to replacement can be immediately demonstrated based on experimental data. Using an evaluation system of track support stiffness, the performance evaluation data for elastic materials obtained through field tests using software for track support stiffness is integrated and managed on the administrator's computer. Therefore, the replacement plan is established and maintenance history is managed by identifying the replacement time and location of elastic materials. It is possible to evaluate the performance and condition of the elastic material at the various points during the working time of the track inspection and the track performance (track support stiffness) and durability of the elastic material (aging level, spring stiffness variation rate, etc.) at the operation condition. The elastic material could be replaced timely, and the deterioration of the elastic material can be continuously monitored.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.225-232
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• 2017

This study aimed to identify worker groups that are to accidents and to track the changes in their socioeconomic status there after. We analyzed the Korean Labor and Income Panel Study (KLIPS) database(2001-2006) were recorded according to the participant's economic activity status at the beginning of follow-up, and economic activity status was. During the follow-up period, the unemployed group experienced more accidents that resulted in disability than the economically active group. Interestingly, the unemployed group also had the highest industrial accident rate. Among the employed, daily and unpaid family workers were more vulnerable to disabilities. After the accidents, the participants tended to become economically inactive or unemployed. Compared to other worker groups, the economically inactive, unemployed, and daily and unpaid family workers experienced higher rates of accidents and faced graver conditions as a result. Although they constitute a significantly large part of society, these vulnerable workers are not currently covered by any social security measures, such as accident surveillance, training, and accident insurance. Social policy should therefore be directed toward protecting these vulnerable worker groups.