• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2005.05a
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• pp.48-53
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• 2005

The world, coming into the 21st century, is preparing a new revolution called a knowledge-based society after the industrial society. The interest of the world is concentrated on information technology, nano-technology and biotechnology. In particular, the nano-technology of which study was originally started from an alternative for overcoming semiconductor micro-technology. It can be applied to most industry subject such as electronics, information and communication, machinery, chemistry, bioengineering, energy, etc. They are emerging into the technology that can change civilization of human beings. Specially, ultra precision machining is quickly applied to nano-technology in the field of machinery. Lately, with rapid development of electronics industry and optic industry, there are needs for super precision finishing of various core parts required in such related apparatuses. This paper handles stability of a super precision micro cutting machine that is a core unit of such a super precision finisher, and analyzes the results depending on the hinge type and material change, using FEM analysis. By reviewing the stability, it is possible to achieve the effect of basic data collection for unit control and to reduce trials and errors in unit design and manufacturing.

• Journal of the Ergonomics Society of Korea
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• v.28 no.4
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• pp.61-69
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• 2009

With increasing needs for affective design, it became an essential part in a product development process to look up quantitative ergonomic data that reflects customers' preferences on design factors in various products. This study looked at wide LCD monitors and analyzed customers' affective preferences regarding monitor's bezel frame size and shape. The monitor's bezel frame depth, size and ratio were selected as independent variables among many design parameters. As dependent variables, customer's subjective preferences were measured. A statistical analysis revealed that monitor's bezel frame depth, size and ratio had significant effects on customer's preferences. Also, it was possible to find a different tendency on affective variables and their levels for 19" and 24" wide LCD monitors. In general, experiments revealed that customers reacted more sensitively in 24" wide LCD monitors to all variables. In 19" wide LCD monitors, only the lower frame bezel size had a significant effect, otherwise, lower, upper and side frame bezels appeared to be effective variables in 24" monitors. In order to reflect customer's affective preferences to new design of wide LCD monitors, this study is expected to provide quantitative ergonomic data and guidelines for the design of wide LCD monitor's bezel frame depth and size.

• Journal of the East Asian Society of Dietary Life
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• v.24 no.4
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• pp.444-456
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• 2014

The purpose of this study was to investigate drinking behaviors and need for programs to prevent drinking problems for university students. Data were obtained from 355 university students in Gyeongbuk region through a self-administered questionnaire. Data were analyzed by SPSS Windows V.21.0. To describe characteristics of the respondents, frequency distributions were used. In addition, t-test, one-way analysis of variance and Duncan's multiple range tests were conducted. For 'how many times do you drink a month?', 70.4% of the respondents answered they drank '1~5 times a month'. Additionally, for 'how much alcohol do you drink?', 54.1% of the respondents answered they drank 'appropriately'. The main motive for drinking was to promote friendship or celebrate an anniversary such as a birthday, and 44.8% of respondents started drinking from high school days. Many respondents took meals before drinking, and smokers smoked more while drinking. Intention to participate in education or programs related to desirable drinking was low compared to their necessity. The level of information on 'health problems caused by excessive drinking' was highest among information needs related to drinking.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.2
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• pp.105-110
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• 2008

Human being recognizes emotion fusing information of the other speech signal, expression, gesture and bio-signal. Computer needs technologies that being recognized as human do using combined information. In this paper, we recognized five emotions (normal, happiness, anger, surprise, sadness) through speech signal and facial image, and we propose to method that fusing into emotion for emotion recognition result is applying to multimodal method. Speech signal and facial image does emotion recognition using Principal Component Analysis (PCA) method. And multimodal is fusing into emotion result applying fuzzy membership function. With our experiments, our average emotion recognition rate was 63% by using speech signals, and was 53.4% by using facial images. That is, we know that speech signal offers a better emotion recognition rate than the facial image. We proposed decision fusion method using S-type membership function to heighten the emotion recognition rate. Result of emotion recognition through proposed method, average recognized rate is 70.4%. We could know that decision fusion method offers a better emotion recognition rate than the facial image or speech signal.

• Journal of the Korea Furniture Society
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• v.14 no.2
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• pp.41-51
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• 2003

With rapidly changing modem information technology, the structure of our lifestyle has underwent much changes in our society. One of these changes is an immense distribution of computer desks, which became necessities of life in various organizations, companies and public offices as well as at home. Therefore, many companies are faced with the necessity of bringing about a new product with esthetic needs and new functions and come to have opportunities to make profits from top-quality products based on competitive design development. The academic design support program in collaboration with industry can provide design-related industry with a design assistance for a new product development, in addition, it can give to the professional faculty of the college the chances to contribute to advancement of design industry of the nation. To accomplish the need and purpose of this research, the design development of unified computer desks was carried out with the introduction of life-long Universal design concept named ‘Design For All.’ The theoretical background of this study researched all the literature on the terms definition of a computer desk, the concept and definition of Universal design and design support program in collaboration with industry and performed data analyses for a product development through an analysis of domestic products and a benchmarking of foreign products. On the basis of these theoretical background and analysis results, this research brought out a new product through designing processes and the information of this production could be utilized via the feedback of a new product. That is, this research was done for a practical use.

• Journal of Computing Science and Engineering
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• v.1 no.2
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• pp.125-160
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• 2007

Data Warehousing and OLAP (On-Line Analytical Processing) have turned into the key technology for comprehensive data analysis. Originally developed for the needs of decision support in business, data warehouses have proven to be an adequate solution for a variety of non-business applications and domains, such as government, research, and medicine. Analytical power of the OLAP technology comes from its underlying multidimensional data model, which allows users to see data from different perspectives. However, this model displays a number of deficiencies when applied to non-conventional scenarios and analysis tasks. This paper presents an attempt to systematically summarize various extensions of the original multidimensional data model that have been proposed by researchers and practitioners in the recent years. Presented concepts are arranged into a formal classification consisting of fact types, factual and fact-dimensional relationships, and dimension types, supplied with explanatory examples from real-world usage scenarios. Both the static elements of the model, such as types of fact and dimension hierarchy schemes, and dynamic features, such as support for advanced operators and derived elements. We also propose a semantically rich graphical notation called X-DFM that extends the popular Dimensional Fact Model by refining and modifying the set of constructs as to make it coherent with the formal model. An evaluation of our framework against a set of common modeling requirements summarizes the contribution.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.103-109
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• 2018

This paper presents an idea and framework to automate a full cycle business process management and re-engineering by integrating traditional business process management systems, process mining, data mining, machine learning, and simulation. We build our framework on the cloud-based platform such that various data sources can be incorporated. We design our systems to be extensible so that not only beneficial for practitioners of BPM, but also for researchers. Our framework can be used as a test bed for researchers without the complication of system integration. The automation of redesigning phase and selecting a baseline process model for deployment are the two main contributions of this study. In the redesigning phase, we deal with both the analysis of the existing process model and what-if analysis on how to improve the process at the same time, Additionally, improving a business process can be applied in a case by case basis that needs a lot of trial and error and huge data. In selecting the baseline process model, we need to compare many probable routes of business execution and calculate the most efficient one in respect to production cost and execution time. We also discuss the challenges and limitation of the framework, including the systems adoptability, technical difficulties and human factors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.777-780
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• 2014

The sensor network technology for core technology of ubiquitous computing is in the spotlight recently, the research on sensor network is proceeding actively which is composed many different sensor node. The major traffic patterns of plenty of sensor networks are composed of collecting types of single directional data, which is transmitting packets from several sensor nodes to sink node. One of the important condition for design of sensor node is to extend for network life which is to minimize power-consumption under the limited resources of sensor network. In this work, we analysis adapted routing protocols using the network simulation that was used exiting network and network provider needs will be able to solve the problem.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.3
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• pp.97-110
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• 2022

The case study looks into the case of the "extreme" market segmentation strategy of company L with its top luxury windows and door brand "Lonchel". Company L has long enjoyed a leading position in the Korean windows and doors mass market. However, it went against their already well-established flagship brand and created a completely new one called "Lonchel", pursuing an extreme market segmentation strategy focusing on the small niche market of highest-income customers exclusively. The strategy has turned out to be successful and the company has gained long-lasting competitive advantages. In this vein this study analyzes the market environment in which the top-tier brand "Lonchel" appeared, the concept of the extreme positioning and the smallest viable market, the characteristics of target customers, the company's analysis of and response to them, and the analysis of products to meet their needs. The brand operation plan and promotion will be also reviewed. Through this, we intend to draw implications related to the extreme positioning strategy that a company may pursue in a target market of small groups of people.

• Fashion & Textile Research Journal
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• v.24 no.6
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• pp.756-765
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• 2022

The purchase-related responses of MZ generation consumers may vary depending on the environmental factors of the fitting room. Therefore, this study extracted and systematized fitting room characteristics in the retail fashion environment. In-depth interviews were conducted with a total of 50 informants to collect data on the experience of using the fitting room. Then, a qualitative analysis was performed. First, results confirmed that the environmental factors of the fitting room include physical (spatiality, functionality, comfort, and convenience) and human (interactivity and congestion) aspects. Next, additional analysis was performed on functionality and interactivity to clarify the influence of environmental characteristics of the fitting room. These factors were classified into qualitative categories. The study results confirmed that, in the case of functionality, preferred lighting and mirror factors vary depending on the clothing product type, the place and situation for wearing, and individual characteristics. Furthermore, regarding interactivity, the preference for the presence of sales staff or companions differed according to personal traits and the need for additional information and evaluation. The study provides valuable information for effective fitting room space planning for offline fashion stores to meet the needs of MZ generation consumers.