• Journal of the Korean Geographical Society
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• v.49 no.5
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• pp.761-778
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• 2014

There has been relatively little study to model price for commercial property because of its low transaction volume in the market. Despite of this thin market character, this paper tried to estimate prices for commercial lots as accurate as possible. We constructed a model whose components consist of mean structure(global trend), exponential covariance function and a pure error term, and applied it to actual sales price data of Seoul. We explicitly took account of spatial autocorrelation of land price by utilizing a kriging technique, a representative method of spatial interpolation, because the land price of commercial lots has feature of differential price forming pattern depending on submarkets they belong to. In addition, we chose to apply a bayesian kriging to overcome data scarcity by incorporating experts' knowledge into prior probability distribution. The chosen model's excellent performance was verified by the result from validation data. We confirmed that the excellence of the model is attributed to incorporating both autocorexperts' knowledge and spatial autocorrelation in the model construction. This paper is differentiated from previous studies in the sense that it applied the bayesian kriging technique to estimate price for commercial lots and explicitly combined experts' knowledge with data. It is expected that the result of this paper would provide a useful guide for the circumstances under which property price has to be estimated reliably based on sparse transaction data.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.1
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• pp.1-12
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• 2006

Approaches to spatial analysis differ from the type of spatial objects to be treated. Especially, in here, the case where two spatial data sets coexist is considered. The goal of such case lies on detecting a subset of spatial objects out of a large set that affects the distribution of the other object. However, it is not easy to extract a subset from a large set by visualization just with the help of GIS since huge amount of data are provided nowadays. In this research, therefore, relationship between two different spatial data are analyzed by quantitative measure in the case study of marketing geography. A purchase history data of a small retail store and the location of its competitors are given as source data for the analysis. The goal of analysis from the aspect of this case study is to extract strong competitors of the store that affects the sales amount of the store among many competitors. With the result, therefore, it is expected that market area pattern and competitive power of stores under micro scale retail environment would be understood by quantitative measure.

• The KIPS Transactions:PartD
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• v.17D no.1
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• pp.1-8
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• 2010

Association rule mining techniques enable us to acquire knowledge concerning sales patterns among individual items from voluminous transactional data. Certainly, one of the major purposes of association rule mining is utilizing the acquired knowledge to provide marketing strategies such as catalogue design, cross-selling and shop allocation. However, this requires too much time and high cost to only extract the actionable and profitable knowledge from tremendous numbers of discovered patterns. In currently available literature, a number of interest measures have been devised to accelerate and systematize the process of pattern evaluation. Unfortunately, most of such measures, including support and confidence, are prone to yielding impractical results because they are calculated only from the sales frequencies of items. For instance, traditional measures cannot differentiate between the purchases in a small basket and those in a large shopping cart. Therefore, some adjustment should be made to the size of market baskets because there is a strong possibility that mutually irrelevant items could appear together in a large shopping cart. Contrary to the previous approaches, we attempted to consider market basket's size in calculating interest measures. Because the devised measure assigns different weights to individual purchases according to their basket sizes, we expect that the measure can minimize distortion of results caused by accidental patterns. Additionally, we performed intensive computer simulations under various environments, and we performed real case analyses to analyze the correctness and consistency of the devised measure.

• Culinary science and hospitality research
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• v.9 no.4
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• pp.98-112
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• 2003

Approximately 0.7 millions dining business exist all over the country and the industry gains 33 trillions sales every year. Although the characteristics, preference factors, and consuming trends of the consumers in this area are diverse and unpredictable than those in other segments, it is actual that the industry has not been divided as a specified market suited to the real state of affairs in the nation. Therefore, in order for appropriate marketing strategies, it will be necessary to focus on extending product classification, diversifying brands, health marketing, and marketing by ages, by generations, and by life patterns. In addition, economically superior position can be established by subdividing strategies meeting various needs and expectations of consumers.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.10
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• pp.1278-1285
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• 2018

For saving electricity bill, energy storage system(ESS) is being installed in factories, public building and commercial building with a Time-of-Use(TOU) tariff which consists of demand charge(KRW/kW) and energy charge(KRW/kWh). However, both of peak reduction and ESS special tariff are not considered in an analysis of initial cost payback period(ICPP) on ESS. Since it is difficult to reflect base rate by an amount of uncertain peak demand reduction during mid-peak and on-peak periods in the future days. Therefore, the ICPP on ESS can be increased. Based on this background, this paper presents the advanced analysis method for the ICPP on ESS. In the proposed algorithm, the representative days of monthly electricity consumption pattern for the amount of peak reduction can be found by the k­means clustering algorithm. Moreover, the total expected energy costs of representative days are minimized by optimal daily ESS operation considering both peak reduction and the special tariff through a mixed-integer linear programming(MILP). And then, the amount of peak reduction becomes a value that the sum of the expected energy costs for 12 months is maximum. The annual benefit cost is decided by the amount of annual peak reduction. Two simulation cases are considered in this study, which one only considers the special tariff and another considers both of the special tariff and amount of peak reduction. The ICPP in the proposed method is shortened by 18 months compared to the conventional method.

• Journal of the Korean Society of Costume
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• v.56 no.4 s.103
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• pp.15-32
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• 2006

The purpose of this study is to research on the actual condition of production and selling in silver apparel market. For the questionnaire, 19 women's wear brands which were in higher ranking of sales in boutiques and madame-zone of department stores were selected. Pattern makers of each brand were questioned about 40 items for this research. The results of the questionnaire were as follows: 1) According to the result of the survey on the made-to-wear production of 19 ready-to-wear manufacturers, there was the gap was in ages between the target and the real consumer. Consumers of these brands were older and aged more broadly than their target ages. 2) Most of the consumers of silver-zone has thick waists, common heights, fat shapes. Custom-made clothes are ordered in many cases because of the big abdomen(50.0%) and H-shape(58.3%) of a somatotype. The body size variation of user population is needed for a good fit. 3) All brands(100%) of this research are using KS standards in the label of clothing, but they don't use these data in their production by reason of unawareness and distrust about these data. These inconsistency between the label and the real size of products may cause a confusion when consumers buy ready-to-wear. 4) Silver apparel manufacturers have need of anthropometry information and dummy(78.6%) suitable for their target consumers to increase their satisfaction about their apparel fit.

• Archives of design research
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• v.20
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• pp.219-229
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• 1997

Today seafoods, such as fisheries and clams, have become an important part of our diet. But processing and storing these perishable seafoods for a long period of time present a serious problem. Only a few years ago, the seafood consumption was minimal. However, an improvement in our diet has enabled us to enjoy seafoods more often than before. Moreover, the recent trend toward the concentration of the popuration to the metropolitan area and the improvement in the standards of living have accelerated a change in our food consumption pattern-preference for the convenient foods over time consuming cooking. Judging from these changes, we can easily predict that the demand for the covenient, dried seafoods will rise sharply in the coming days. The development for an innovative and attractive way to package and market these products are on the way. Research and development of the distribution channel and package design of the dried seafoods will offer a wide array of opportunities to increase the sales volume of the dried seafoods. In addition, by associating the image of Pusan, as a prime oceanic city, with the dried seafoods on the package will certainly draw the attention of many prospective consumers. Consequently it will make the dried seafoods special products of Pusan, and eventually contribute to the prosperity of the city.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.11
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• pp.956-962
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• 2005

This paper presents an integrated analysis of production and financing decisions. We assume that a cash storage unit is installed to manage the cash flows related with production activities such as raw material procurement, process operating setup, Inventory holding cost and finished product sales. Temporarily financial investments are allowed for more profit. The production plant is modeled by the Batch-Storage Network with Recycle Streams in Yi and Reklaitis (2003). The objective function of the optimization is minimizing the opportunity costs of annualized capital investment and cash/material inventory while maximizing stockholder's benefit. No depletion of all the material and cash storage units is major constraints of the optimization. A novel production and inventory analysis formulation, the PSW(Periodic Square Wave) model, provides useful expressions for the upper/lower bounds and average level of the cash and material inventory holdups. The expressions for the Kuhn-Tucker conditions of the optimization problem can be reduced to two subproblems and analytical lot sizing equations under a mild assumption about the cash flow pattern of stockholder's dividend. The first subproblem is a separable concave minimization network flow problem whose solution yields the average material flow rates through the networks. The second subproblem determines the decisions about financial Investment. Finally, production and financial transaction lot sizes and startup times can be determined by analytical expressions as far as the average flow rates are calculated. The optimal production lot and storage sizes considering financial factors are smaller than those without such consideration. An illustrative example is presented to demonstrate the results obtainable using this approach.

• Journal of the Korean housing association
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• v.25 no.2
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• pp.1-9
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• 2014

This study investigates supply patterns and residential characteristics of the Urban-type Housing in Seoul. There have been 3,336 buildings and 71,790 housing units approved until the end of 2012. One-room apartments and small units less than 30 $m^2$ of residential area amount to 81% and 82% of total units, respectively. Major findings are as follows. First, single- and two-person households less than 30 years of age are mostly lived in the housing. Respondents are mainly professional and white-collar (43%) and service and sales workers (27%). Most of them are mid-income classes (67%), which is twice more than that of single- and two-person households in Seoul. They pay 672 thousand won in rent more than average rent of mid-income class. The rent to income ratios are 29.9% for single households and 24.5% for two-person households, which are higher than that of mid-income bracket. Third, their satisfaction level is relatively high in internal environment and access to public service facilities, but not in external environment and community service facilities. They are satisfied with security and daylight, walking and safety, access to public transport and parking space, but not with noise and vibration, natural environment, access to park and cultural and sports facilities, and most community service facilities. It is necessary to reexamine the articles of deregulation and prepare design standards while considering different housing and locational types.

• Korean Journal of Agricultural Science
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• v.38 no.3
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• pp.549-557
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• 2011

Chinese cabbage is a staple food to Korean, which has the high degree of self-sufficiency and worldwide breeding technique in the aspect of seed. However, the producers' competitiveness has been decreasing after the agricultural product market was open. In order to cope with this problem, the government introduced some policies for promoting seed industry in 2007 to reflect producer's needs for high quality seeds of Chinese cabbage. These policies will be a good opportunity for producers to secure and promote the producers' competitiveness against low-price importing Chinese cabbage. In this aspect it is very important to know how well these policies are established and what Chinese cabbage farmers want in regard to a new variety of Chinese cabbage seed. This study was carried out to look over the Chinese cabbage producers' using pattern about a new variety of seed and show some directions for efficient way of diffusion of a new variety of seed to producers using a survey research. The main results are as follows. The producers thought the characteristics of a new variety of seed most important factor compared to other factors such as the seed price, and easiness of cabbage sales when they choose a seed. Also, the 65% of respondents were willing to accept a new variety of seed and thought the government support for an exhibition field and diffusing public information about a new variety of Chinese cabbage seed are important in accepting a new variety of seed.