• Fashion & Textile Research Journal
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• v.13 no.5
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• pp.705-716
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• 2011

The purpose of this study was to investigate salesperson's perception of fashion company in the middle management system of department store. This study was conducted by a qualitative research method. An in-depth interview was managed to 14 fashion shop managers and salesperson who have three or more years of work experience at the department store. Interview details were classified three categories: relations with fashion company and others, concern with products supply, concern with products sales. First, the positive factors on relations with fashion company are mutual trust, stability of fashion company, coordination and consideration for shop, communication with fashion company, methodical IT system, methodical education, and social gathering support. The negative factors are unilateral breach of contract from fashion company, communication problem, gap between sales status in shop and product design in fashion company, lack of professional education, difficulty of participating in education, and inadequate employee benefits. Second, the positive factor on products supply is priority of products supply. The negative factors are lack of main items, product procurement lacking rapidity, and problem of securing a supply. Third, the positive factors on products sales are brand pride, display and information support about products, and free gift support. The negative factors are unfair selling commission policy, sales pressure, and excessive responsibility.

• Journal of Advanced Navigation Technology
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• v.18 no.6
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• pp.640-647
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• 2014

The WBAN technology means a short distance wireless network which provides each device's interactive communication by connecting devices inside and outside of body located within 3 meters. It is necessary to develop core technology that the WBAN middleware and application service for WBAN sensor network. A device for gathering patient's biometric information was used zigbex of Hanbaek electronics and we designed the message structure which is collected the biometric information. The gateway design and implementation for the WBAN environment. The embedded system was HBE-empos II of Hanbaek electronics and the WBAN network is implemented to BNC and BN that used for hbe-ubi-zigbex. It was confirmed that the proposed sensor gateway could be used for the interconnection of the proposed system with other networks.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.60-68
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• 2012

This paper describes design and implementation of a distributed rendering management system using existing rendering module. Currently, most of 3D commercial software provide modeling, rendering and distributed environment in the whole package. So, the server and client should use the given renderer as is, without the required features. In this paper, we propose a distributed rendering management system that consist of rendering module and distributed rendering client-server. The rendering module can be executed independently and managed by the distributed rendering client. The server requests rendering for each connected client. After the execution, the server gathers rendering result from each client. After gathering, the server provides the rendering result to the user.

• ETRI Journal
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• v.33 no.6
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• pp.977-980
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• 2011

Wave field synthesis (WFS) has been gathering more and more attention recently due to its ability to perfectly reproduce an original sound field. However, to realize theoretically perfect WFS, a four-sided loudspeaker array that encloses the listener is required. However, it is difficult to build such a system except in large listening spaces, such as a theater or concert hall. In other words, if the listening space is a home, installing a side loudspeaker array is impractical. If the two side walls located to the left and right of the listener can be omitted, a setup using only front and rear loudspeaker arrays may be a solution. In this letter, we present a subjective listening experiment of sound localization/distance based on a WFS using a front and rear loudspeaker array system which is conducted on two listening points and shows average localization errors of $6.1^{\circ}$ and $9.18^{\circ}$, while the average distance errors are -27% (0.5 m) and -29% (0.6 m), respectively.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.569-572
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• 2008

I proposed wireless ordering system using Qt embedded. This system will make the good use of real life applications and make fit for practical use. I embodied data input, transfer, gathering and back-transfer on wireless network using TCP/IP protocol on QSocket provided by Qt. Server environment is Linux 9.0 and gcc-2.95.3 on PC, and three target-boards consist PXA255 processor with wireless-LAN card which communicate through wireless access pointer. Software tools on target-board are gcc, tmake, qt-X11, qt-embedded and etc. I designed touch-screen interface for user convenience.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.124-129
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• 2021

As the 4th industrial era is in full swing, the public's interest in related technologies such as artificial intelligence, big data, and block chain is increasing. As artificial intelligence technology is used in various industrial fields, the need for research methods incorporating artificial intelligence technology in related fields is also increasing. Evidence collection among digital forensic investigation techniques is a very important procedure in the investigation process that needs to prove a specific person's suspicions. However, there may be cases in which evidence is damaged due to intentional damage to evidence or other physical reasons, and there is a limit to the collection of evidence in this situation. Therefore, this paper we intends to propose an artificial intelligence-based evidence collection system that analyzes numerous image files reported by citizens in real time to visually check the location, user information, and shooting time of the image files. When this system is applied, it is expected that the evidence expected data collected in real time can be actually used as evidence, and it is also expected that the risk area analysis will be possible through big data analysis.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.98-106
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• 2022

A condition of the retina known as hypertensive retinopathy (HR) is connected to high blood pressure. The severity and persistence of hypertension are directly correlated with the incidence of HR. To avoid blindness, it is essential to recognize and assess HR as soon as possible. Few computer-aided systems are currently available that can diagnose HR issues. On the other hand, those systems focused on gathering characteristics from a variety of retinopathy-related HR lesions and categorizing them using conventional machine-learning algorithms. Consequently, for limited applications, significant and complicated image processing methods are necessary. As seen in recent similar systems, the preciseness of classification is likewise lacking. To address these issues, a new CAD HR-diagnosis system employing the advanced Deep Dense CNN Learning (DD-CNN) technology is being developed to early identify HR. The HR-diagnosis system utilized a convolutional neural network that was previously trained as a feature extractor. The statistical investigation of more than 1400 retinography images is undertaken to assess the accuracy of the implemented system using several performance metrics such as specificity (SP), sensitivity (SE), area under the receiver operating curve (AUC), and accuracy (ACC). On average, we achieved a SE of 97%, ACC of 98%, SP of 99%, and AUC of 0.98. These results indicate that the proposed DD-CNN classifier is used to diagnose hypertensive retinopathy.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.48-56
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• 2024

We examine a single machine scheduling problem with step-improving jobs in which job processing times decrease step-wisely over time according to their starting times. The objective is to minimize total completion time which is defined as the sum of completion times of jobs. The total completion time is frequently considered as an objective because it is highly related to the total time spent by jobs in the system as well as work-in-progress. Many applications of this problem can be observed in the real world such as data gathering networks, system upgrades or technological shock, and production lines operated with part-time workers in each shift. Our goal is to develop a scheduling algorithm that can provide an optimal solution. For this, we present an efficient branch and bound algorithm with an assignment-based node design and tight lower bounds that can prune branch and bound nodes at early stages and accordingly reduce the computation time. In numerical experiments well designed to consider various scenarios, it is shown that the proposed algorithm outperforms the existing method and can solve practical problems within reasonable computation time.

• Herbal Formula Science
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• v.25 no.4
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• pp.553-574
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• 2017

The purpose of this study is to find out effects of prescriptions according to the formula, manipulation of Rhei Rhizoma, configuration. The following results were reached through investigations on the prescriptions using Rhei Rhizoma as a main component. Objectives : Analysis of prescriptions According to the formula : Liquid Extract Prescriptions were used widely on three parts to treat fever and damp heat in the interior organs. Powder Prescriptions were taken with hot water, thin porridge, tea etc. to treat damp heat, congestion of phlegm, acute episodes. Liquid Mixed Pill treat congestion of QI, damp heat, phlegm. Honey Mixed Pill treat accumulated fever, distension, acute excessive fever. Paste Pill treat blood stagnation, excessive toxic-fever, epidemic diseases. External Application treat inflammation by injury, swelling due to severe fever by internal damage. Methods : Analysis of prescriptions According to the manipulation of Rhei Rhizoma : Prescriptions including Liquor processed Rhei Rhizoma treat excessive toxic-fever, congestion of phlegm, blocking orifices on the upper side. Steamed Rhei Rhizoma strengthen effects of making evacuate and cooling of heat. Processed Rhei Rhizoma with vinegar strengthen effects of removing blood stagnation by activating blood movement, releasing gathering. Results : Analysis of prescriptions According to the Composition of Rhei Rhizoma : 41% of the total prescriptions were on the area of less than 20%. In case of lower groups show increased frequency of combination with Pharbitidis Semen, Persicae Semen, Scutellariae Radix and manipulation of baking, steaming, roasting. In case of higher groups show increased frequency of treating excess syndrome, critical illness, acute severe illness, and using proccesed Rhei Rhizoma with vinegar. Treatment of damp heat on the liver and gallbladder, disorder of the spleen and stomach is done mostly by prescriptions on the area of less than 30%. Conclusions : Rhei Rhizoma-Coptidis Rhizoma pair treat damp heat, heat toxins in blood, and Constipation caused by excessive heat. Rhei Rhizoma-Glycyrrhizae Radix pair relieve effects of Rhei Rhizoma passing blocked feces, removing the poison, activating blood movement, releasing gathering with the effects of Glycyrrhizae Radix relaxing tension by harmonizing Middle. Rhei Rhizoma-Magnoliae Cortex pair are used to treat damp heat in middle area, excessive heat in the stomach and intestine. Rhei Rhizoma-Pharbitidis Semen pair act on both blood system and QI system treating edema, damp, stagnation, heat toxins, feces. Rhei Rhizoma-Persicae Semen pair treat blood stagnation with fever on blood system.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.4
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• pp.227-236
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• 2007

Ubiquitous systems have grown explosively over the few years. Nowadays users' needs for high qualify service lead a various type of user terminals. One of various type of user interface, various types of effective human computer interface methods have been developed. In many researches, researchers have focused on using brain-wave interface, that is to say, BCI. Nowadays, researches which are related to BCI are under way to find out effective methods. But, most researches which are related to BCI are not centralized and not systematic. These problems brought about ineffective results of researches. In most researches related in HCI, that is to say - pattern recognition, the most important foundation of the research is to build correct and sufficient DB. But there is no effective and reliable standard research conditions when researchers are gathering brain-wave in BCI. Subjects as well as researchers do not know effective methods for gathering DB. Researchers do not know how to instruct subjects and subjects also do not know how to follow researchers' instruction. To solve these kinds of problems, we propose effective brain-wave DB building system using the five senses stimulation. Researcher instructs the subject to use the five senses. Subjects imagine the instructed senses. It is also possible for researchers to distinguish whether brain-wave is right or not. In real time, researches verify gathered brain-wane data using spectrogram. To verify effectiveness of our proposed system, we analyze the spectrogram of gathered brain-wave DB and pattern. On the basis of spectrogram and pattern analysis, we propose an effective brain-wave DB building method using the five senses stimulation.