• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.161-170
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• 2019

Multi-product mass production small and medium enterprise factories have a wide variety of products and a large number of products, wasting manpower and expenses for inventory management. In addition, there is no way to check the status of inventory in real time, and it is suffering economic damage due to excess inventory and shortage of stock. There are many ways to build a real-time data collection environment, but most of them are difficult to afford for small and medium-sized companies. Therefore, smart factories of small and medium enterprises are faced with difficult reality and it is hard to find appropriate countermeasures. In this paper, we implemented the contents of extension of existing inventory management method through character extraction on label with barcode and QR code, which are widely adopted as current product management technology, and evaluated the effect. Technically, through preprocessing using OpenCV for automatic recognition and classification of stock labels and barcodes, which is a method for managing input and output of existing products through computer image processing, and OCR (Optical Character Recognition) function of Google vision API. And it is designed to recognize the barcode through Zbar. We propose a method to manage inventory by real-time image recognition through Raspberry Pi without using expensive equipment.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1053-1065
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• 2019

Land use statistics calculation is very informative data as the activity data for calculating exact carbon absorption and emission in post-2020. To effective interpretation by land use category, This study classify automatically image interpretation by land use category applying forest aerial photography (FAP) to deep learning model and calculate national unit statistics. Dataset (DS) applied deep learning is divided into training dataset (training DS) and test dataset (test DS) by extracting image of FAP based national forest resource inventory permanent sample plot location. Training DS give label to image by definition of land use category and learn and verify deep learning model. When verified deep learning model, training accuracy of model is highest at epoch 1,500 with about 89%. As a result of applying the trained deep learning model to test DS, interpretation classification accuracy of image label was about 90%. When the estimating area of classification by category using sampling method and compare to national statistics, consistency also very high, so it judged that it is enough to be used for activity data of national GHG (Greenhouse Gas) inventory report of LULUCF sector in the future.

• Journal of Fashion Business
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• v.14 no.3
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• pp.35-51
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• 2010

This study aims at providing data for establishing a marketing strategy which can enhance the competitiveness of Korea domestic SPA(Specialty Store Retailer of Private Label Apparel) Brands by suggesting countermeasure strategy through the observation and analysis for SPA Brands, under the current circumstance in which the systematic and scholastic discussion for the matter, is lack, despite the diastrophism in fashion industry is prospected according to the rapid growth of Global SPA Brands. For this purpose, the characteristic and current status of Global SPA Brands is examined, and the main cause of growth is analyzed by approaching to their marketing characteristic, in this study. In relation with this situation, this study suggests the provisions as below, which are drawn from the analysis on Global SPA Brands' marketing strategy, so that Korea domestic SPA Brands could achieve successive performance under fierce competition. First, to be a competitive SPA Brands a business should be able to supply products with frequent product turnover by an interval level of one week or so, the existent product planning by seasons, as a business obtains various swift informations on consumers' demand with R&D center foundation. Secondly, SPA Brands should establish a strategy that a business can create high net profit by inventory management which enables lowering inventory ratio remarkably, and a strategy for innovative product supply by small quantity batch production, along with founding a high technological logistics system. Third, SPA Brands should establish a strategy for primary cost reduction by overseas dispersed outsourcing in order to enable diverse product development and rational price setting. Fourth, fashion marketers should establish also a strategy for communication by which brand image can be delivered effectively, by firming the brand identity and by informing product characteristic and customer service totally, with the method of VMD and flagship store. Additionary, fashion marketers also should establish a strategy by developing mobile application which can provide brand image and diverse other fashion related information.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1B
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• pp.85-94
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• 2010

Many RFID systems use dynamic slotted ALOHA to identify the label information of the RFID tags. One of the key problems in the RFID system is how to estimate the number of RFID tags up to the desired level of accuracy. In this paper, we present the framework of tag estimation algorithm for the collision-oblivious (CO) reader which can only decide whether the tag response is successful or not. Thus, the CO reader must rely on the success estimator to predict the RFID tag population. We propose two estimation algorithms to predict the number of RFID tags, named the memoryless success estimator (MSE) and the intersection-based success estimator (ISE). The MSE considers only the estimate obtained at the current inventory round, while the ISE finds an appropriate intersection interval of the existing estimates collected at every inventory round. Through the simulation results, we demonstrate that the ISE is a fast, accurate, and controllable estimator whose performance is close to that of the collision/idle estimators.

• Physical Therapy Rehabilitation Science
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• v.11 no.2
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• pp.165-171
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• 2022

Objective: Nonspecific low back pain (NSLBP) is experienced worldwide by many age groups. Yoga is recommended as an exercise to reduce back pain and stress because it is a breathing exercise, posture, and meditation as key elements. The aim of this study is to compare the effects of yoga and stabilization exercise on pain intensity, function, and depression. Design: An open-label, parallel arm, randomized controlled trial Methods: Twenty-four participants were allocated to the experimental and the control group in a ratio of 1:1. Yoga (experimental group) and stabilization exercise (control group) were received twice a week for 6 weeks Participants were assessed at baseline and post-intervention for pain intensity (numeric pain rating scale), function (Aberdeen low back pain scale, flexibility,and strength), and depression (Beck depression inventory). Results: When the experimental group (Yoga) and control group (stabilization exercise) were performed twice a week for 6 weeks, numeric pain rating scale, Aberdeen low back pain scale, and flexibility in post-intervention showed significant improvement in both groups (P<0.05), However, in all variables, the experimental group showed a positive benefit compared to the control group (P<0.05). Conclusions: The results of this study show that yoga has more positive benefits compared to stabilization exercise in pain intensity, function, and depression in individuals with NSLBP.

• Korean Journal of Biological Psychiatry
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• v.20 no.1
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• pp.12-20
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• 2013

Objectives We investigated the tolerability, safety, and treatment response to flexible-dose paliperidone ER in patients with non-acute schizophrenia in whom previous antipsychotic drugs were ineffective. Methods This 24-week interim analysis of the 48-week multicenter, prospective, open-label study assessed effectiveness using the Positive and Negative Syndrome Scale (PANSS), Clinical Global Impression-Schizophrenia-Severity (CGI-SCH-S) Scale, Personal and Social Performance (PSP) and Drug Attitude Inventory (DAI). Safety and tolerability were assessed using the Drug-Induced Extrapyramidal Symptoms Scale (DIEPSS) and Liverpool University Neuroleptic Side Effect Rating Scale (LUNSERS). Results Effectiveness was assessed in 169 patients. Significant improvement in the PANSS total score was observed by week-1 and continued until week-24. The response rate was 33%. The CGI-SCH-S and PSP total scores significantly improved during 24 weeks ; however, no change occurred in the total DAI. Fifty-nine percent of patients reported adverse events, of which extrapyramidal symptoms were the most frequent (19.0%). The DIEPSS and LUNSERS scores were improved after 24 week. Conclusions Switching to the flexible-dose paliperidone ER from an ineffective antipsychotic drug was safe, tolerable, and showed a good treatment response in Korean patients with schizophrenia.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.8 no.2
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• pp.266-272
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• 1997

We examine the clinical efficacies of fluoxetine in treating the children with selective mutism. In an 8-week open-label clinical study, 17 children with selective mutism are received 20-60mg/day of fluoxetine. Our results reveal that 13 subjects(76%) of 17 subjects improve statistically in within subjects comparison of pre- and post-treatment changes in the scores of Clinical Global Impression scale for mutism, Children’s Depression Inventory scale, and Revised Children’s Manifest Anxiety Scale. These data suggest that selective serotonergic antidepressants may be effective in treating selective mutism in children and adolescents.

• Fashion & Textile Research Journal
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• v.17 no.6
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• pp.907-918
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• 2015

With the pervasiveness of digital environment and expansion of new media, ICT (Information and Communication Technology) leads the role of consumer to change from a passive customer into an active co-producer. As customer participation in the fashion industry increases, this study attempts to explore the cases of customer participation as a co-producer in fashion industry through analyzing business models of companies, including Threadless, Blank label, Cut on Your Bias, Acustom Apparel, Thinkgivers. The results show that customer participation is mainly facilitated through design participation in fashion industry, with different level of participation and IT as well as different contribution target. Compared to the past, consumer’s preference is reflected through participation before the stage of production. Results indicate three main characteristics of customer participation in fashion industry. First, value co-creations using customer experiences and understanding customer needs are important. Second, active online communication among customers are critical. Third, it is important to ensure customer’s own item. From a customer perspective, participation enables them to purchase their own distinctive product and offers exciting experience and satisfaction over the production processes, and compensation can be used to increase customer participation. On the other hand, companies using customer participation can take advantage of cost reduction in product development, inventory, and marketing. Customer participation, as a win-win strategy for business and consumer, is expected to expand further in the future with the development of ICT.

• The Research Journal of the Costume Culture
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• v.15 no.1 s.66
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• pp.1-12
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• 2007

The purpose of this study is to identify the SPA(Specialty store retailer of Private label Apparel) characteristics and product supply process of Korean casual apparel brands. The research was conducted by questionnaire surveys to 63 casual apparel brands. SPA characteristics of each brand were measured with four SPA characteristic indices: short product supply cycle, spacious retail floor, single brand retail store, and low product price compared to the quality of the product. The 63 apparel brands were grouped by SPA index score. The brands belonged to group H had high index score and brands in group L had low index score. The results of this study showed that the most of the casual apparel brands' products were sold at department stores, especially the brands belonged to group L greatly depended on department stores. Few apparel brands have spacious retail floor. The retail product price of the brands belonged to group H was low price while the product price of the brands belonged to group L was in the medium-high price. The supply time of the new products was short in general. The most brands supplied new styles to the retail floor within 1 to 3 weeks. The information technology was heavily used. The brands belonged to group H highly used information technology including bar codes system, pas data analysis, and inventory control system. The current style trends were analyzed with street fashion and feedback from the shop managers.

• Informatization Policy
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• v.27 no.1
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• pp.3-35
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• 2020

Interest in smart cities is growing; information and communication technology, urban planning, urban economy development, health, and many other areas are intertwined within smart city research and practice. The definition of smart city is evolving, and its vagueness is sometimes confusing. This review of the smart city literature tries to capture the big picture of this big idea. This review places into context work done since 2016, as earlier work is well reviewed in Albino (2015) and Cochia (2014). First is a review of the various smart city definitions. Second, an inventory of terms related to or subsumed by the smart city label are presented. Third, outcomes of indexes created to measure a city's smartness are presented. Fourth, the taxonomies used to organize the disparate content that falls under the smart city umbrella are discussed. Fifth, the most recent literature associated with six commonly recognized subgenres, namely smart economy, smart governance, smart living, smart people, smart environment, and smart mobility are reviewed. Sixth, important critiques of the smart city idea are presented.