• Title/Summary/Keyword: store value

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Retailing Attribute Evaluation and Satisfaction of New Silver Consumers: Focus on Department Stores and Traditional Markets (뉴실버 소비자의 소매업태 속성평가 및 소비자만족도 연구: 백화점과 전통시장을 중심으로)

  • Kim, Soo Min;Lee, Seung Sin
    • Human Ecology Research
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    • v.53 no.6
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    • pp.619-628
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    • 2015
  • Baby boomers who have rebuilt the Korean economy over the last half a century are now transitioning into a silver generation who are over 65 years of age. New silver consumers are qualitatively and quantitatively different from the previous generation and are considered to be 'the single most consumption-leading generation.' The number of new silver consumers using department stores and traditional markets has increased. SPSS ver. 21.0 was used with the methods of frequency analysis, t-test, one-way analysis of variance (ANOVA), device master record test, and regression analysis. This research studies consumer satisfaction of new silver consumers on department stores and traditional markets among retailing. The improvement of the parking environment is the most urgent issue for traditional markets because the long-term assessments of parking areas indicate that it is necessary to provide improved convenience for consumers. Salesman satisfaction has improved and consumer satisfaction ranks salesman satisfaction high for traditional markets; however, price satisfaction is low and the distribution system should be improved to supply products at a lower price. Salesman and price satisfaction should be improved at depart stores. Traditional markets should also promote consumer satisfaction through consistent management to make consumers trust information in regards to quality control and production and distribution; in addition, department stores should increase consumer satisfaction by maintaining store systems such as product diversification and display, cleanness, and atmosphere.

A Study on Selection Factors of Personal Cloud Storage Service Using AHP (AHP를 활용한 개인 클라우드 스토리지 서비스 선택 요인에 관한 연구)

  • Jo, Hyeon;Cho, Hyegyeong;Kim, Younghee;Kim, Hayan;Jeon, Hyeon-Jeong;Lee, Jae Kwang
    • Journal of Information Technology Services
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    • v.14 no.3
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    • pp.197-215
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    • 2015
  • Recently, many internet users are using cloud computing. Users can manage, store and share their data and information by using personal cloud storage. In this paper, we aim to figure out influencing factors on personal cloud storage selection. The causal relationship between factors were identified through a importance analysis by using AHP(Analytic Hierarchy Process). AHP is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. Research model consists of upper factorsincluding system factor, service factor and user factor. 12 lower factors and 6 alternatives were also analyzed. Asa result, system factor of 3 upper factors was found as the most important factor. Purpose-coincidence, security andaccessibility were top 3 factors among lower factors. N drive showed top importance value. We also conducted ANOVAby classifying 4 groups according to gender, age, currently used cloud and cloud to use. The results of this researchcan be useful guidelines for cloud computing industry.

Typology of Fashion Product Consumers: Application of Mixture-model Segmentation Analysis

  • Kim, Yeon-Hee;Lee, Kyu-Hye
    • Journal of the Korean Society of Clothing and Textiles
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    • v.35 no.12
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    • pp.1440-1453
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    • 2011
  • Proper consumer segmentation is receiving more attention from industry professionals as markets become more diverse and consumer-centered. Researchers have recognized the limitations of the traditional cluster analysis technique and this research study analyzes market segmentation using Mixture-model or latent-class segmentation. This study used a questionnaire to determine the characteristics of clothing shoppers using a new technique that proved its superiority over traditional techniques. Questions included items measuring fashion shopping behavior, store choice criteria, apparel consumption styles, price perception by product type, and demographic characteristics. Data were collected from 1074 males and females in their 20s and 30s through an online survey. SPSS 16.0 and Latent GOLD 4.0 were used to analyze the data. The ideal typology of clothing shoppers using the Mixture-model were: 'brand loyalty orientated group', 'group of conservative late 30s', 'group of pleasure-emotion early 20s', 'value oriented consumer product with high-income group', 'group of eco/symbol oriented consumer', and 'group of utility/goal oriented male consumer'. This study showed differences in fashion product purchasing behavior by conducting market segmentation for clothing shoppers using the Mixture-model.

Hardware Architecture of Automatic Exposure Algorithm for CMOS Image Sensor (CMOS Image Sensor용 자동노출 알고리즘의 하드웨어 구조)

  • Mo, Sung-Wook;Park, Hyun-Sang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.7
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    • pp.1497-1502
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    • 2009
  • AE(Auto exposure) is a function to maintain the exposure value of a captured image constant, and is one of the crucial functionalities of a CIS-based mobile camera. Generally AE is implemented in software, requiring a CPU and a ROM to store the corresponding software. This approach increases the hardware size at the cost of increased flexibility. In this paper, we propose an AE algorithm featuring variable frame-rate and adaptive analog gain control, as well as a FSM-based hardware architecture for a CIS-based mobile camera.

Capturing Data from Untapped Sources using Apache Spark for Big Data Analytics (빅데이터 분석을 위해 아파치 스파크를 이용한 원시 데이터 소스에서 데이터 추출)

  • Nichie, Aaron;Koo, Heung-Seo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.7
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    • pp.1277-1282
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    • 2016
  • The term "Big Data" has been defined to encapsulate a broad spectrum of data sources and data formats. It is often described to be unstructured data due to its properties of variety in data formats. Even though the traditional methods of structuring data in rows and columns have been reinvented into column families, key-value or completely replaced with JSON documents in document-based databases, the fact still remains that data have to be reshaped to conform to certain structure in order to persistently store the data on disc. ETL processes are key in restructuring data. However, ETL processes incur additional processing overhead and also require that data sources are maintained in predefined formats. Consequently, data in certain formats are completely ignored because designing ETL processes to cater for all possible data formats is almost impossible. Potentially, these unconsidered data sources can provide useful insights when incorporated into big data analytics. In this project, using big data solution, Apache Spark, we tapped into other sources of data stored in their raw formats such as various text files, compressed files etc and incorporated the data with persistently stored enterprise data in MongoDB for overall data analytics using MongoDB Aggregation Framework and MapReduce. This significantly differs from the traditional ETL systems in the sense that it is compactible regardless of the data formats at source.

A Strategic Implementation of e-SCM(Supply Chain Management) for the Development of e-Business (e-Business활성화를 위한 e-SCM의 전략적 구축)

  • Lee, Shin-Kyuo
    • The Journal of Information Technology
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    • v.9 no.1
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    • pp.65-79
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    • 2006
  • e-Marketplace is a business concept which is importantly considered in the area of marketing. e-Marketplace provides the public field in which multi-purchasers can efficiently trade with multi-suppliers. Supply Chain Management(SCM) is being widely acknowledged by the development of information technology. SCM is well known as one of the key issues lately. The complexity of supply chains and the associated potential opportunities for gaining a competitive edge by designing a product and process to support supply chain management can be significant. In order to achieve successful implementation of supply chain management system, companies should understand some barriers in implementation and set up effective and integrated information system. Standardization of logistics is needed through the unification of EDI, Bar Code, Pallet and so on. It's effect is magnified on Efficient Consumer Response such as efficient store assortment, efficient replenishment, efficient promotion and efficient product introduction. International logistics management is the integration of key business processes from original suppliers to end user that provides products, services and information that add value for customers. e-Logistics is being used in managing the international logistics. In this study, three basic e-SCM models for the strategic implementation of supply chain management are suggested. Among them, the virtual company can be the best one we can develop in order to cope with the individualized customer needs.

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A Study of Commercial Rental Properties within a Large Complex Facility by Measuring the Spatial Structure (공간 구조와 보행량 측정을 통한 대형 복합시설물 상가 임대료 특성에 관한 연구)

  • Hwang, Jae-Hong;Ahn, Byung-Ju;Kim, Ju-Hyung;Kim, Jae-Joon
    • Journal of the Korea Institute of Building Construction
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    • v.10 no.6
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    • pp.87-96
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    • 2010
  • This research analyzed the location of stores using a space syntax analysis model to measure the location of building interior stores in a quantitative way. Measure walk population of each space and analyzed analysis model and actuality measurement rent and difference to calculate value of store. With this, analyzed mad effect factor to rent. Drew effect factor of rent which is appropriated present. Had cleared that rent which consider walk population is required.

A Study on the Optimal Control Strategy of Air-Conditioning System with Slab Thermal Storage - The Difference by the Presence of Radiant Heat as a Criterion Factor - (슬래브축열의 최적제어방책에 관한 연구 -평가요소로 복사열의 고려 유무에 의한 차이-)

  • Jung Jae-Hoon;Shin Young-Gy
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.18 no.4
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    • pp.287-296
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    • 2006
  • In this paper, optimal control strategy of the air-conditioning system with slab thermal storage was investigated based on the optimal control theory. An optimal heat output to the plenum chamber and the air-conditioned room was determined based on two kinds of criterion functions. The first one requires small deviation in room air temperature from a set-point value and low energy consumption. It is shown that the optimized control is to store heat through the whole storage time and to increase storage rate gradually with time. As the second case, a criterion that both a deviation of operative temperature from a set-point temperature and the energy consumption should be minimized was adopted. The room air temperature was a little high and the cooling load during storage time was reduced, compared with the results when a criterion function considering only the room air temperature is used.

A Study of Edge Detection for Auto Focus of Infrared Camera

  • Park, Hee-Duk
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.1
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    • pp.25-32
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    • 2018
  • In this paper, we propose an edge detection algorithm for auto focus of infrared camera. We designed and implemented the edge detection of infrared image by using a spatial filter on FPGA. The infrared camera should be designed to minimize the image processing time and usage of hardware resource because these days surveillance systems should have the fast response and be low size, weight and power. we applied the $3{\times}3$ mask filter which has an advantage of minimizing the usage of memory and the propagation delay to process filtering. When we applied Laplacian filter to extract contour data from an image, not only edge components but also noise components of the image were extracted by the filter. These noise components make it difficult to determine the focus state. Also a bad pixel of infrared detector causes a problem in detecting the edge components. So we propose an adaptive edge detection filter that is a method to extract only edge components except noise components of an image by analyzing a variance of pixel data in $3{\times}3$ memory area. And we can detect the bad pixel and replace it with neighboring normal pixel value when we store a pixel in $3{\times}3$ memory area for filtering calculation. The experimental result proves that the proposed method is effective to implement the edge detection for auto focus in infrared camera.

Channel Capacity Analysis of DNA-based Molecular Communication with Length Encoding Mechanism

  • Xie, Jialin;Liu, Qiang;Yang, Kun;Lin, Lin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.8
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    • pp.2923-2943
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    • 2021
  • The double helix structure of DNA makes it diverse, stable and can store information with high density, and these characteristics are consistent with the requirements of molecular communication for transport carriers. In this paper, a specific structure of molecular communication system based on DNA length coding is proposed. Transmitter (Tx) adopts the multi-layer golden foil design to control the release of DNA molecules of different lengths accurately, and receiver (Rx) adopts an effective and sensitive design of nanopore, and the biological information can be converted to the electric signal at Rx. The effect of some key factors, e.g., the length of time slot, transmission distance, the number of releasing molecules, the priori probability, on channel capacity is demonstrated exhaustively. Moreover, we also compare the transmission capacity of DNA-based molecular communication (DNA-MC) system and concentration-based molecular communication (MC) system under the same parameter setting, and the peak value of capacity of DNA-MC system can achieve 0.08 bps, while the capacity of MC system remains 0.025 bps. The simulation results show that DNA-MC system has obvious advantages over MC system in saving molecular resources and improving transmission stability.