• Journal of the Korean Chemical Society
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• v.29 no.5
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• pp.510-515
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• 1985

Color of $MoO_{(aq)}^{3+}$ in concentrated methanesulfonic acid (∼10M) changes dark green due to the formation of $Mo_2O_2(OH)_{2(aq)}^{4+}$ dimer. This color is similar to that shown by addition of water to that shown by addition of water to green $MoO_{(aq)}^{3+}$ solution in 15-16M methanesulfonic acid. The molar extinction coefficient of monomer in 15M methanesulfonic acid is about 20 at 415nm. Rate constants are independent on the aquomolybdenum (V) and hydrogen ion concentration under the condition of this experment. Bridging hydroxides of $Mo_2O_2(OH)_{2(aq)}^{4+}$ are dehydrogenated at the less concentration of ∼6 M for HPTS and ∼10M for $CH_3SO_3H$. The structure of both the yl-oxygens and the bridging oxygens of final product is identified to (*image)unit.

• Journal of IKEEE
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• v.22 no.1
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• pp.156-161
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• 2018

Recently, as the population rapidly increases, food shortages and waste are emerging serious problem. In order to solve this problem, various countries and enterprises are trying research and product development such as a study of consumers' purchasing patterns of food and a development of smart refrigerator using IoT technology. However, the smart refrigerators which currently sold have high price issue and another waste due to malfunction and breakage by complicated configurations. In this paper, we proposed a low-cost smart refrigerator system based on IoT for solving the problem and efficient management of ingredients. The system recognizes and registers ingredients through QR code, image recognition, and speech recognition, and can provide various services of the smart refrigerator. In order to improve an accuracy of image recognition, we used a model using a deep learning algorithm and proved that it is possible to register ingredients accurately.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.11 no.3
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• pp.63-70
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• 1997

The objective of this study was to investigate the color preference and the recognition of color names among college students. The study revealed the following: 1) The most favorite colors included blue, purple, white and green in that order; and the least favorite colors included achromatic colors, ocher and red in that order. 2) Brown was the favorite color in furniture while red was the disliked color; In colthing, white was preferred while red was disliked; Red was appropriate for accent colors, and bright colors were for product packages. 3) In regards with seasonal image, yellow, blue, brown and white were associated with spring, summer, fall and winter, respectively; Blue represented self-image most. 4) Black, grey, red and green in that order showed the higest recognitions in color names while indigo, crimson, deep carmine and havy blue showed the lowesR ; Color name recognitions showed the order of achomatic, neutial, warm and cool colors.

• Science of Emotion and Sensibility
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• v.10 no.2
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• pp.187-198
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• 2007

To improve VMD technology and suggest the comprehensive evaluation method for VMD, this study investigated and compared two methods of VMD evaluations; expert evaluation and questionnaire to consumers. We analyzed VMD factors of 4 stores with the same brand according to purchasing psychological steps of consumers at the purchasing point. The results are following: Customer Attraction and Purchase Stimulus by VMD showed higher scores in road shop than in department stores, while Put-on Imagination and Comparison Process by VMD showed higher scores in department stores than road shop. Visual Satisfaction and Shop Visit Satisfaction increased the purchasing desire of consumers. High-scored VMD shop evaluated by expert had high score in product purchasing intention of consumers. We found out that questionnaire method to consumers or their response is needed for evaluate VMD of shop in terms of analyze possibility of the related to their purchasing intention.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.3
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• pp.288-296
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• 1992

This paper describes an improved 2D QPS(quadrature polar separable) filter design and its applications to texture processing. The filter kernel pair consists of the product of a radial weighting function based on the finite PSS (prolate spheroidal sequences) and an exponential at tenuation function for the orientational angle. It is quadrature and polar separable in the frequency domain. It is near optimal in the energy loss because we let the orientational angle function approximate the radial weighting function. The filter frequency characteristics is easy to control as it depends only upon the design specifications such as the bandwidth, the directional angle, the attenuation constant, and the shift constant of the central frequency. Some applications of the filter in texture processing, such as the generation of the texture image, the estimation of orientation angles, and the segmentations for the synthetic texture image, are considered. The result shows that the filter with the wide bandwidth can be used for the generation of discrimination of the strong orientational textures and the segmentation results are good.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.4
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• pp.867-873
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• 1999

Camera calibration is a procedure which calculates internal and external parameters of a camera with the Down world coordinates of the control points. Accurate camera calibration is required for achieving accurate visual measurements. In this paper, we propose a simple and flexible camera calibration using neural networks which doesn't require a special knowledge of 3D geometry and camera optics. There are some applications which are not in need of the values of the internal and external parameters. The proposed method is very useful to these applications. Also, the proposed camera calibration has advantage that resolves the ill-condition as object plane is near parallel image plane. The ill-condition is frequently met in product inspection. For little more accurate calibration, acquired image is divided into two regions according to radial distortion of lens and neural network is applied to each region. Experimental results and comparison with Tsai's algorithm prove the validity of the proposed camera calibration.

• Journal of the Korean Society of Costume
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• v.56 no.2 s.101
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• pp.70-82
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• 2006

The purpose of this study was to analyze the trends and features of male fashion and hair style image and thereby, determine the relationship between fashion and hair styles, and thus, provide for some basic data for future studies about male hair styles as well as for new male hair style trends. For this purpose, relevant literature was extensively reviewed including some visual materials. The major references for this study were domestic and foreign books, journals and preceding studies about fashion and hair. The visual materials referred to for this study were domestic magazines specialized in fashion and hair, visual data supplied by hair product brands, Korea Beauty Parlor Journal, Beauty and Cosmetic Newspaper, Beauty Today, and such fashion special websites as $S{\cdot}F{\cdot}I,\;C{\cdot}F{\cdot}T$, firstview.com, fashionwide.com, etc. Based on the results from a questionnaire survey of master or Ph degree holders of apparel science, reputed designer were sampled and then, 80 works were finally sampled from their collections published between January, 2002 and April, 2005. As a result of analyzing the images shown in modern male apparel and hair style fashions by classifying them into natural, restored, folklore and eclectic ones, it was confirmed that both male apparels and hair styles have been reinterpreted in modern terms depending on social and cultural settings to be expressed as new styles, and in particular, that male hair styles have evolved diversely into new styles depending on fashion tendencies, while having been versatile in some relationships with their fashion tendencies.

• Korean Institute of Interior Design Journal
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• v.21 no.2
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• pp.123-132
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• 2012

In the trend of concentrating on the consumer driven experience market as a new marketing concept according to the improvement of life standard and the change of consummation pattern, SPA brand has applied experience marketing strategies to the market successfully to be grown constantly with consumer secure and production of business benefit through brand image and positive consumer attraction. Therefore, this study aims to research the experiential representation element and attribute in the competitive Global SPA brand space due to the sustainable growth from the recent domestic fashion market based on the strategy type of the experiential marketing. Thus, the experiential marketing strategy type was drawn based on the experiential marketing and the theoretical reflections of Global SPA brand, and the SPA brand space was classified depending on the attribute of the commercial space for making the framework of case analysis, so it was progressed as the method of analysis through the experiential representation attribute in the SPA brand space. The marketing strategy and representation for advertising the image of company and product message by the SPA brand should be planned, so successful application of the experiential marketing to the shop is connected to the corporate interests, and forming the meaning more than space by impressing on the consumers the brand and arousing the emotional experience of the consumers and meeting the consumers' a variety of needs had effects on forming a lasting relationship between the brand and consumers. Therefore, this study is expected to be an opportunity to vitalize the domestic SPA brand behind the competition with the Global SPA brand.

• Korean Institute of Interior Design Journal
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• v.19 no.5
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• pp.95-104
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• 2010

One of 21st century's main paradigms is a 'Culture', and people started to express their 'cultural desires and demands' regarding public environments. Accordingly central and local governments are paying attention to these demands from their citizens and trying to establish the policies to meet these needs. This research is done to suggest the strategy programming model to support the executions of culture-centered public designs which are based on the local resources and identities. The entire research contains three sub-topics. First topic is setting the prototype phases of strategy programming. Second topic is analyzing the associated indices for each prototype phase. Third topic is suggesting Matrix Model in which the prototype phases and their associated indices are linked. Among three topics, this paper deals with the first one - the prototype phases of strategy programming. It studies this subject in relation with Place Marketing which emphasizes the local resources and identities. The prototype phases are comprised of 3 steps for Place Strategy and 4 steps for Marketing Strategy. Place Strategy should be considered prior to Marketing Strategy because in culture-centered public design, locality has priority over other concerns. The phases for Place Strategy includes 'Resource_analyzing of local resources', 'Mission_setting a purpose', and 'Targeting_segmenting target groups'. The phases for Marketing Strategy involves 'Organization_instituting the main body and/or partnership', 'Image Positioning_setting an unique local image', 'Point_realizing the product', and 'Channel_deciding the sales promotion tools'.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1993.10a
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• pp.1243-1253
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• 1993

Visual features of a mushroom(Lentinus Edodes L) are critical in sorting and grading as most agricultural products are. Because of its complex and various visual features, grading and sorting of mushrooms have been done manually by the human expert. Though actions involved in human grading looks simple, a decision making undereath the simple action comes form the results of the complex neural processing of the visual image. And processing details involved in the visual recognition of the human brain has not been fully investigated yet. Recently, however, an artificial neural network has drawn a great attention because of its functional capability as a partial substitute of the human brain. Since most agricultural products are not uniquely defined in its physical properties and do not have a well defined job structure, a research of the neuro-net based human like information processing toward the agricultural product and processing are widely open and promising. In this pape , neuro-net based grading and sorting system was developed for a mushroom . A computer vision system was utilized for extracting and quantifying the qualitative visual features of sampled mushrooms. The extracted visual features and their corresponding grades were used as input/output pairs for training the neural network and the trained results of the network were presented . The computer vision system used is composed of the IBM PC compatible 386DX, ITEX PFG frame grabber, B/W CCD camera , VGA color graphic monitor , and image output RGB monitor.