• International Journal of Advanced Culture Technology
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• v.7 no.3
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• pp.143-148
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• 2019

In order to solve the urban problems caused by the increase of the urban population, the construction of smart city applying the latest technology is being carried out all over the world. In particular, we will create a smart city platform that utilizes data generated in the city to collect and store and analyze, thereby enhancing the city's continuous competitiveness and resilience and enhancing the quality of life of citizens. However, existing smart city platforms are not enough to construct a platform for smart city as a platform for solution elements such as IoT platform, big data platform, and AI platform. To complement this, we will reanalyze the existing overseas smart city platform and IoT platform in a comprehensive manner, combine the technical elements applied to it, and apply it to the future Korean smart city platform. This paper aims to investigate the trends of smart city platforms used in domestic and foreign countries and analyze the technology applied to smart city to study smart city platforms that solve various problems of the city such as environment, energy, safety, traffic, environment.

• Korean Journal of Organic Agriculture
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• v.26 no.4
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• pp.543-558
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• 2018

The purpose of this study is to analyze the amount of willingness to pay for environment-friendly agricultural processed foods by the level of consumption intention. To accomplish the objective of the study a consumer survey was conducted for quantitative analysis regarding consumption pattern. The ordered-probit selection model, Heckman-type two-stage method was employed for an empirical analysis on determining the amount of willingness to pay. The estimation results showed that in the case of consumers who are to keep their consumption at the present level, those with high quality contentment compared to price, brand contentment, and purchasing chiefly in the special store, have the higher amount of willingness. The estimation results also showed that in the case of consumers who are to increase their consumption, those with high quality contentment compared to price, brand contentment, certificate contentment, and having family members who suffer from diseases such as atopy, cancer, diabetes, high blood pressure, have the higher amount of willingness. Therefore For those who are to increase their consumption, enhancement of quality, enhancement of contentment with certificate, promotion are useful to increase the amount of willingness to pay.

• Elastomers and Composites
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• v.56 no.2
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• pp.72-78
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• 2021

A phase-change material (PCM) is a material that has the ability to delay heat transfer by absorbing heat from its environment or releasing heat to its environment while its phase changes from solid to liquid or liquid to solid at a specific temperature. As it is applied, it can contribute to environmental conservation such as energy savings and carbon dioxide emission reduction. In order for a PCM to store and release heat, the volume change during its phase transition should be large, and thus a phase transition space is required. When a PCM is used as a polymer additive, it is confined within the polymer, and there is no phase transition space; thus, its ability to absorb and release heat is significantly reduced. Therefore, in this study, porous silica was used to provide EVA/PCM compounds with sufficient space for their phase transition, and to improve the compatibility between the EVA and PCM, modified silica is used: surface-modified 5 wt% silica with 3-methacryloxypropyltrimethoxysilane. The compound was prepared and compared with the silica compound. The presence or absence of the modified silica surface modification was confirmed using Fourier-transform infrared spectroscopy and thermogravimetric analysis, the heat capacity of the compound was evaluated based on a differential scanning calorimetry analysis, and its mechanical strength and morphology were determined using scanning electron microscopy.

• Journal of Fashion Business
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• v.27 no.1
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• pp.16-35
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• 2023

The advent of Omni Channel has changed the fashion business model and the role of fashion sales persons. In such situation, internal marketing can become an important organizational management strategy for fashion companies. Therefore, the purpose of this study is to identify the components of internal marketing of fashion companies for fashion shop masters in an omni channel environment. To achieve the purpose of this study, To achieve the purpose of this study, a qualitative study was conducted to investigate the internal marketing sub-factors of fashion companies. In-depth interviews were conducted for qualitative study. Seven respondents to the in-depth interview were fashion shop masters who had at least 10 years of field work experience. As a result of the qualitative study, internal marketing was derived from five factors, including empowerment, education and training, rewards, internal communication, and management supports. Empowerment factors consist of initiative, encourage creativity, and problem solving. Education and training factors consist of the degree of education and training opportunities, the value of education and training, and the scope of education and training. Rewards factors consist of diversity of rewards, fairness of rewards, and source of rewards. Internal communication factors consist of communication flexibility, diversity of communication and receptivity of communication. Management support factors consist of headquarters support and department store support.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.101-107
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• 2024

Cloud computing is a widely used technology that has changed the way people and organizations store and access information. This technology is quite versatile, which is why extensive amounts of data can be stored in the cloud. Furthermore, businesses can access various services over the cloud without having to install applications. However, the cloud computing services are provided over a public domain, which means that both trusted and non-trusted users can access the services. Though there are several advantages of cloud computing services, especially to business owners, various challenges are also posed in terms of the privacy and security of information and online services. A kind of threat that is widely faced in the cloud environment is the on/off attack. In this kind of attack, a few entities exhibit proper behavior for a given time period to develop a highly a positive reputation and gather trust, after which they exhibit deception. A viable solution is provided by the given trust model for preventing the attacks. This method works by providing effective security to the cloud services by identifying malicious and inappropriate behaviors through the application of trust algorithms that can identify on-off attacks.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.167-172
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• 2016

Commercial analysis has been used for a lot of reasons such as improving the distribution structure, operational cost savings. However, existing commercial assay system is mostly flow through the analysis of the population and the environment around the store. Therefore, in this paper, we design a path weighted data analysis system for efficient product arrangement. It is not applying the analysis method of the existing commercial sales center but the data analysis system applying the weight to the form of customers' paths in a store. In conjunction with the existing POS system, it provides effective product placement in department stores, such as supermarkets, convenience stores. To this end, a system that maximizes efficiency of product placement in stores, receiving path data, converting them into statistics data that apply the weight, and printing out them into a visualized monitering system for the manager to see was designed.

• Journal of Advanced Research in Ocean Engineering
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• v.3 no.1
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• pp.32-40
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• 2017

Recently, the amount of data to be processed and the complexity thereof have been increasing due to the development of information and communication technology, and industry's interest in such big data is increasing day by day. In the shipbuilding and offshore industry also, there is growing interest in the effective utilization of data, since various and vast amounts of data are being generated in the process of design, production, and operation. In order to effectively utilize big data in the shipbuilding and offshore industry, it is necessary to store and process large amounts of data. In this study, it was considered efficient to apply Hadoop and R, which are mostly used in big data related research. Hadoop is a framework for storing and processing big data. It provides the Hadoop Distributed File System (HDFS) for storing big data, and the MapReduce function for processing. Meanwhile, R provides various data analysis techniques through the language and environment for statistical calculation and graphics. While Hadoop makes it is easy to handle big data, it is difficult to finely process data; and although R has advanced analysis capability, it is difficult to use to process large data. This study proposes a big data platform based on Hadoop for applications in the shipbuilding and offshore industry. The proposed platform includes the existing data of the shipyard, and makes it possible to manage and process the data. To check the applicability of the platform, it is applied to estimate the weights of offshore structure topsides. In this study, we store data of existing FPSOs in Hadoop-based Hortonworks Data Platform (HDP), and perform regression analysis using RHadoop. We evaluate the effectiveness of large data processing by RHadoop by comparing the results of regression analysis and the processing time, with the results of using the conventional weight estimation program.

• Journal of Satellite, Information and Communications
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• v.12 no.4
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• pp.42-49
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• 2017

Delay- and Disruption-Tolerant Network (DTN) has been considered as a key technology to overcome main challenges in interplanetary communications such as an intermittent connectivity and high bit error rates. The lack of end-to-end connectivity between source and destination results in long and variable delays and data loss, hence the Internet Protocols cannot operate properly in such environments because it requires an end-to-end connectivity. The DTN, which utilizes 'store-and-forward' message passing scheme between nodes, can overcome the lack of end-to-end connectivity in Interplanetary Network (IPN). In this paper, DTN is applied to 3-hop relay IPN, where messages are transmitted from Earth ground station to Lunar lander through Earth satellite and Lunar orbiter. ONE simulator is used to reflect the real environment of IPN and an efficient resource management method are analyzed to guarantee the message delivery by optimizing a message TTL (Time to Live), buffer size and message fragmentation.

• Journal of Distribution Science
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• v.18 no.3
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• pp.87-97
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• 2020

Purpose: The aim of this study is to understand the internal and external responses that consumers experience when they are exposed to an innovative system in retail stores. This study considered the SST(Self-Service Technology) system in a retail setting as a type of functional environmental stimuli and selected a smart shopping cart as an example of SST system. The influences of functional environmental stimuli on consumers' emotional, cognitive, and behavioral responses were examined by applying S-O-R model. In addition, this study attempted to extend the traditional S-O-R model by (a) incorporating personal characteristics variables such as time pressure and perceived crowding and (b) considering not only emotional but also cognitive aspects of consumers' internal responses. Research Design, Data, and Methodology: This study used a video-scenario technique. Participants watched a video about grocery shopping situations using a smart shopping cart and responded to their emotional, cognitive, and behavioral responses. An online survey was conducted using Amazon's Mechanical Turk (N = 185). All participants were US consumers over 20 years old and had been shopping at the grocery store in the last month. Data were analyzed through structural equations modeling with AMOS 20. Results: Test results showed that consumers who perceived higher levels of time pressure and perceived crowding in usual shopping situations were more likely to evaluate the SST system favorably. The results showed that personal characteristics have a significant impact on consumers' evaluation of functional environmental stimuli in retail setting. As consumers evaluated the SST system favorably, they experienced more positive affect and less negative affect during their shopping behaviors. Positive affect led to good service quality inference, which further increased patronize intention. However, negative affect did not show a significant impact on service quality inference, but only on patronize intention. Conclusions: This study attempted to investigate the influence of SST system by extending the traditional S-O-R model. This study classified the SST system as functional environmental stimulus of retail stores and analyzed the effect of stimulus on consumers' internal and external responses. The results of this study showed that the introduction of innovative SST can serve as an effective store differentiation strategy in an increasingly competitive retail environment.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.193-206
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• 2020

Despite recent changes in life style, the content called bookstore has steadily stood by our side, changing its shape. In this environment, This manuscript is a quantitatively empirical study that individual innovation affects a combined bookstore's service design factors and the user's intention to word of mouth. Researchers believed that individual innovation would affect a combined bookstore's service design factors. It was also assumed that there would be considerable causality between the combined bookstore's service design factors deduced through prior study. Furthermore, the assumption that these parameters would affect internal variables, perceived ease of use, perceived usefulness and satisfaction, word of mouth intentions was presented, and verified using An Integrated Model of Extended Technology Acceptance Model and Post Acceptance Model. Researchers expect that this research will contribute significantly in that it is a developer's approach to the combined bookstore that are seen as major tenants in large retail facilities.