• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.1
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• pp.163-170
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• 2022

This paper introduces a method of extracting facial features due to unrefined inputs in real life and improving the problem of not guaranteeing the ideal performance and speed of the object recognition model through a storage algorithm through weight summation. Many facial recognition processes ensure accuracy in ideal situations, but the problem of not being able to cope with numerous biases that can occur in real life is drawing attention, which may soon lead to serious problems in the face recognition process closely related to security. This paper presents a method of quickly and accurately recognizing faces in real time by comparing feature points extracted as input with a small number of feature points that are not overfit to multiple biases, using that various variables such as picture composition eventually take an average form.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.1-7
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• 2023

Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.210-216
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• 2023

Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.

• Wind and Structures
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• v.12 no.1
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• pp.1-19
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• 2009

In this paper, the airflow around an ideal thin plate (hereafter referred to as ITP) with various ratios of central slot is simulated by using the finite-difference-method (FDM)-based Arbitrary-Lagrangian-Eulerian descriptions for the rigid oscillating body. The numerical procedure employs the second-order projection scheme to decouple the governing equations, and the multigrid algorithm with three levels to improve the computational efficiency in evaluating of the pressure equation. The present CFD method is validated through comparing the computed flutter derivatives of the ITP without slot to Theodorsen analytical solutions. Then, the unsteady aerodynamics of the ITP with and without central slot is investigated. It is found that even a smaller ratio of central slot of the ITP has notable effects on pressure distributions of the downstream section, and the pressure distributions on the downstream section will further be significantly affected by the slot ratio and the reduced wind speeds. Continuous increase of $A_2^*$ with the increase of central slot may be the key feature of the slotted ITP. Finally, flutter analyses based on the flutter derivatives of the slotted ITP are performed, and moreover, flutter instabilities of a scaled sectional model of a twin-deck bridge with various ratios of deck slot are investigated. The results confirm that the central slot is effective to improve bridge flutter stabilities, and that the flutter critical wind speeds increase with the increase of slot ratio.

• Journal of Korean Academy of Nursing Administration
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• v.9 no.1
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• pp.41-49
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• 2003

Purpose : This study was to illuminate the main characteristics and limits of the feminine ethics of care when it applies to the nursing ethics, and suggested sufficient conditions of care ethics in nursing in order to actualize the autonomy for nurses. Method : This study inquired the relationship between the ethical trait of caring in nursing and Gilligan & Noddings's moral theory as feminine ethics in relation to supporting the nursing ethics. In contrast to traditional moral theories based on universal principles, Gilligan's moral theory emphasized the conscious of the interpersonal relationship on the basis of the empathy and the responsibility for the other's need in contextual situations, and Noddings developed her ethics based on mothering as a model for the caring relation, the moral feature of which was characterized as reciprocity, receptiveness and responsiveness. Result : The feminine ethics of care came to support nursing ethics considering the nterpersonal relationship and responsibility. However, it did not show a possible ideal of nursing ethics because it has some difficulties in actualizing the nurse's individual and professional autonomy in the health care system. Conclusion : Therefore, in order that ethics of care can be an ideal and universal nursing ethics, it should be studied in proper direction, that is, toward actualization of the autonomy of the universal ethical self in relation to the concern and responsibility for the other.

• Journal of the Daesoon Academy of Sciences
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• v.25_1
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• pp.87-119
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• 2015

Typology of religious organization is a useful analysis from the stand point of sociology of region. A study on the change of type of religious organization according to typology is a academic responsibility. This study can also make a religion prepare theoretical shape for the future of the religion. Although Daesoonjinrihoe now becomes a established sect, Daesoonjinrihoe should retain characteristics as a alternative sect. This feature as a alternative sect is an important identity of Daesoonjinrihoe which was established to criticize and overcome established sect. Dotongjingyeong is an ideal world of Daesoonjinrihoe. The foundation of Dotongjingyeong as an ideal world is essential value and reason of existence of Daesoonjinrihoe. For this reason, Daesoon jinrihoe should not just maintain its position but lead to reach the Dotongjingyeong here and now. Dotongjingyeong which should be built here and now is beyond Daesoonjinrihoe as a religious organization, because Dotongjingyeong is new heaven and new earth. Daesoonjinrihoe should put an guard against trial and error through change of type. Otherwise, Daesoonjinrihoe can not retain characteristics as an alternative sector. Now Daesoonjinrihoe may be at a revolutionary turning point for the foundation of Dotongjingyeong.

• Journal of Fashion Business
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• v.20 no.4
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• pp.15-35
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• 2016

The purpose of this study was to develop brassiere pattern designed to fit the breast shapes based on ESMOD pattern. It has three quarters cup round shape and also consists of three parts; upper cup, lower cup, and wings. Breast types are classified into five shapes; ideal breast, flat breast, upper developed breast, lower developed breast, and projecting breast. Two subjects for each breast type wore the brassiere, and they evaluated the appearance and wearing twice. Type I for research pattern designed to fit into the breast shape reflecting details of breast size were assessed as superior to the divided commercial type. However, wings' tightness of Type I for research pattern brassiere was high. Thus, to improve wearing satisfaction, extra was added to wing. Based on the results of wearing experiments of Type I for research, we adjusted and modified Type II for research pattern. Subsequently, its appearance and wearing were evaluated, in order to be improved. For upper developed breast pattern, we extended the length of lower part to balance upper and lower part, as the upper part was somewhat long. The lower developed breast has the closest feature to the ideal breast, suggestive that implies it does not require much improvement Projecting breast pattern has minimal space in the lower part, so we added the support to lift them to be similar to the ideal breasts. For all the breast shapes, we reduced the wings' tightness from 8% to 7% so that we could extend the length of the wings.

• Proceedings of the Korean Vacuum Society Conference
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• 2015.08a
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• pp.61.1-61.1
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• 2015

Nanoscale semiconductor plasma processing has become one of the most challenging issues due to the limits of physicochemical fabrication routes with its inherent complexity. The mission of future and emerging plasma processing for development of next generation semiconductor processing is to achieve the ideal nanostructures without abnormal profiles and damages, such as 3D NAND cell array with ultra-high aspect ratio, cylinder capacitors, shallow trench isolation, and 3D logic devices. In spite of significant contributions of research frontiers, these processes are still unveiled due to their inherent complexity of physicochemical behaviors, and gaps in academic research prevent their predictable simulation. To overcome these issues, a Korean plasma consortium began in 2009 with the principal aim to develop a realistic and ultrafast 3D topography simulator of semiconductor plasma processing coupled with zero-D bulk plasma models. In this work, aspects of this computational tool are introduced. The simulator was composed of a multiple 3D level-set based moving algorithm, zero-D bulk plasma module including pulsed plasma processing, a 3D ballistic transport module, and a surface reaction module. The main rate coefficients in bulk and surface reaction models were extracted by molecular simulations or fitting experimental data from several diagnostic tools in an inductively coupled fluorocarbon plasma system. Furthermore, it is well known that realistic ballistic transport is a simulation bottleneck due to the brute-force computation required. In this work, effective parallel computing using graphics processing units was applied to improve the computational performance drastically, so that computer-aided design of these processes is possible due to drastically reduced computational time. Finally, it is demonstrated that 3D feature profile simulations coupled with bulk plasma models can lead to better understanding of abnormal behaviors, such as necking, bowing, etch stops and twisting during high aspect ratio contact hole etch.

• Journal of the Korean Society of Costume
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• v.55 no.7 s.98
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• pp.38-50
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• 2005

The purpose of this study is first, to see through the aesthetic essence of the clothing as art, through theoretical consideration of cultural feature and body style in Postmodern Feminism. Also, this study will examine the aesthetic value in artistic meaning regarding a Deformational body image in visual an. Second, this study will analysis the formative character of Modern Art to wear which expressed unfixed body style, followed by the change of Postmodern Feminity, as a Deformation image. This character will be categorized by Expansion, Grotesque, Pleasure, and Virtuality. The following is the result of this study. Expansion expressed in modern Art to wear created intentional structure of the form, and intentionally presented refusal of body existence through disembodied. Grotesque expressed refusal and deviation of women's ideal body style, which is defined by mannish discourse, very grotesquely. Pleasure pleasantly presented free emotion through an intentional transformation like distortion or imbalance of the body By paradoxically reproducing women's virtual body as other unfixed female identity was expressed visually through virtuality to embody post-gender.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1275-1280
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• 2006

In this paper, comparing and analyzing the distribution of High brightness as domestic lamps and Japanese products go thinner and lighter, we setting an effective composition standard. By comparing and analyzing the feature, brightness, chromaticity and uniformity of domestic LGPs and Japanese products, early home-manufacturing and stabilization in home-manufacturing are possible. By comparing and analyzing the distribution of brightness as sariheets are ved, we can design an ideal sheet composition.