• The Journal of Industrial Distribution & Business
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• v.14 no.5
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• pp.1-9
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• 2023

Purpose: Visual design has many prospective applications, including attaining business, social, educational, and political goals. The purpose of this study is to gain an understanding of how visual design influences consumer-facing brand values and marketing messages. In order to be successful in marketing, one must promptly attract the attention of the clients one is attempting to sell to. Research design, data and methodology: In order for the research to provide useful information, it will be necessary to sort the findings in descending order of importance and construct an integrated whole out of the knowledge gleaned from various books, papers, and other sources. This method is essential for establishing the degree of objectivity present in each piece of research and combining the results of those studies. Results: Visual marketing promotes a product or service through moving or still images, illustrations, logos, and other forms of digital content. The audience may comprehend your message better if you include visuals. Even if people only scan your content, they may be more likely to notice it if it is presented appealingly. Conclusions: In conclusion, this study found that visual design substantially influences both the demand for products and the awareness of brand values within their target audiences

• Annual Conference of KIPS
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• 2008.05a
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• pp.231-234
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• 2008

Currently an automated methodology based on data mining techniques is presented for the prediction of customer load patterns in load demand data. The main aim of our work is to forecast customers' contract information from capacity of daily power consumption patterns. According to the result, we try to evaluate the contract information's suitability. The proposed our approach consists of three stages: (i) data preprocessing: noise or outlier is detected and removed (ii) cluster analysis: SOMs clustering is used to create load patterns and the representative load profiles and (iii) classification: we applied the K-NNs classifier in order to predict the customers' contract information base on power consumption patterns. According to the our proposed methodology, power load measured from AMR(automatic meter reading) system, as well as customer indexes, were used as inputs. The output was the classification of representative load profiles (or classes). Lastly, in order to evaluate KNN classification technique, the proposed methodology was applied on a set of high voltage customers of the Korea power system and the results of our experiments was presented.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2457-2460
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• 2003

There is a great demand to manipulate biological cell autonomously since biologist should spend much time to obtain skillful manipulation techniques. For this purpose, we propose a cell chip to control, carry, fix and locate the cell. In this paper, we focus on the cell rotator to rotate individual biological cell based on a micro fluidics technology. The cell rotator consists of injection hole and rotation well to rotate a biological cell properly. Under the variation of flow rate in injection hole, the angular velocity of a biological cell is evaluated to find the feasibility of the proposed rotation method. As a practical experiment, Zebrafish egg is employed. Based on this research, we find the possibility of non-contact rotation way that can highly reduce the damage of the biological cell during manipulation. To realize an autonomous biological cell manipulation, a cell chip with manipulation well and micro channel in this research will be utilized effectively in near future.

• IEIE Transactions on Smart Processing and Computing
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• v.3 no.4
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• pp.212-220
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• 2014

The current cellular communications are optimized for low mobility users, meaning that their performance is degraded at high speed. Therefore, passengers in a high-speed train experience very poor radio link quality due to the significantly large number of simultaneous handovers. In addition, wireless data traffic is expanding exponentially in trains, subways and buses due to the widespread use of smartphones and mobile devices. To solve the inherent problem of cellular communication networks and meet the growing traffic demand, this paper proposes the mobile hotspot network of a millimeter-wave communication system as a mobile wireless backhaul. This paper describes the physical layer design of uplink and downlink in the proposed system, and the performances of uplink and downlink are evaluated under Rician fading channel conditions. The implemented baseband prototype of the proposed millimeter-wave communication modem is presented. This system can provide a Gbps data rate service in high-speed trains carrying hundreds of wireless Internet users.

• Transactions of the Korean Society of Automotive Engineers
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• v.21 no.1
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• pp.1-8
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• 2013

Recently, the automotive technology has developed with electronics and information technology as convergence technology while vehicles had been regarded as machines. Moreover, vehicles are becoming more intelligent and safer devices, assembly of advanced technologies by customers' demand. Even though all of installations of vehicle have attracted as diverting devices, it cause drivers' mistakes like delay of response on traffic condition. Here, we proposed the Field Operational Test (FOT) environment which could be used as driving and road conditions collector(Vehicle motion, Traffic condition, Driver input, Driver state, etc.) for researches about Driver Friendly Intelligent System(SCC, LDWS, etc.), Human Vehicle Interface(Driving Workload, etc.) and Economic Drive Model. Furthermore driving patten and fuel consumption patten of drivers were analyzed by measured data and direction of future research was suggested.

• Journal of Digital Contents Society
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• v.11 no.3
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• pp.307-314
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• 2010

The demand for cyber education in Korea is constantly increasing and the need for research on online lecture on contents design that increases the learning effect is rising. In this research, the online lecture contents about the technical information type provided by Korea Cyber University was understood and we researched about the most preferred lecture type and the most effective lecture type in learning among the 1,173 students in Korea Cyber University who participated in this online survey. Also, we analyzed if the students' preference for the lecture type depended on their experience on that lecture type and we studied the students' claims postulated on the interface design of the lecture contents. The most preferred lecture type among students was e-Stream+flash and they answered that multi-media type lectures were the most effective lectures in learning. The majority of the students preferred lecture contents that they have experienced before and preferred the menu on the left side of the page in interface design. Not only the completeness, but the applications in design in lecture contents are also an important factor in online lectures. As the demand for cyber education in Korea is increasing, content design that can increase the academic performance should be further researched.

• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.119-127
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• 2020

As the electric vehicle (EV) market in South Korea grows, it is required to expand charging facilities to respond to rapidly increasing EV charging demand. In order to conduct a comprehensive facility planning, it is necessary to forecast future demand for electricity and systematically analyze the impact on the load capacity of facilities based on this. In this paper, we design and develop a Long Short-Term Memory (LSTM) neural network model that predicts the daily peak electric load at each charging station using the EV charging data of KEPCO. First, we obtain refined data through data preprocessing and outlier removal. Next, our model is trained by extracting daily features per charging station and constructing a training set. Finally, our model is verified through performance analysis using a test set for each charging station type, and the limitations of our model are discussed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.91-105
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• 2018

The purpose of this study is to examine an immoral effectiveness decrease by information access monitoring between ethical dilemma and unethical information-sharing behavior. Firms are raising the demand of confidential information management and are highlighting the ethical awareness of organizational members. The individuals in organization are concerned information sharing for future-oriented social networking. To prevent their immoral behavior, Firms should consider investing the information access monitoring. This system is aiming at log verification of movement, storage and deletion on information and will reduce an ethical conflict and unethical behavior on employees. I used the structural equation methodology for this empirical study. The research model constructs the voluntary and involuntary dilemma of information sharing on the two independent-variables, the unethical information behavior and the improper networking reinforcement on the two dependent-variables and the information access monitoring the one mediating-variables. This model tests the power effect of direct path, indirect path and total path. According to the study, the two ethical dilemma of information sharing provided a high influence to the unethical sharing action and to the inappropriate social networking strengthens. However, the mediating role of information access monitoring shows the effect weakens of independent and dependent variables. Thus, the mediating variables appeared to be important for the controlling role of an unethical behavior and improper social networking. Ultimately, The firms will need to invest the information access monitoring for a compulsory ethics behavior of organizational members. In addition, this can hinder networking enhancements for future opportunistic behaviors.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.239-244
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• 2021

With the entry into an aged society, interest and demand for the elderly are increasing. The rapid increase in the elderly is calling for change in various fields. As the opportunities and desires of the elderly to participate in society increase, research on services suitable for the elderly society is needed. Although the expansion of convenience facilities and improvement of the system are being made to solve problems arising from the elderly society, there are many shortcomings in the increasing demand of the elderly. In addition, due to aging, they have difficulty in living independently and independently due to the decline in their daily life ability and physical function. To solve these problems, the government and local governments provide various services for the elderly. The service for the elderly is provided based on the general characteristics of the elderly, so it has limitations in customized services. In this paper, present a service model using extended information in ICT-based services to complement these problems. Scalable information uses IoT environments to collect information and environmental information for the elderly. Service support using information on the expansion of the elderly shall identify the characteristics of the elderly and support appropriate services when users request services. The proposed method may support self-reliance services that reflect the characteristics and needs of the elderly.

• Journal of Biosystems Engineering
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• v.20 no.1
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• pp.22-35
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• 1995

Pepper is the most important horticultural plant in Korean farm. Pepper harvesting has been known to be the most difficult process in pepper cultivation so that demand for mechanization is strong. In a research to develop a pepper harvesting machine performance and capacity of the harvester should be determined based on both economical feasibility and machine design concept. In order to accomplish an economical analysis of the pepper harvester, a mathematical model for comparing manual harvesting cost to machine harvest cost was developed. Validity of the model depends on the data used in the model. Economical information for the model variables was acquired from the result of farm survey on pepper cultivation technique and economics of pepper farmer. Technical information on pepper harvester were also collected through literature review and analyzed. Based on the economical analysis and synthesis of the technical information on pepper harvesters, its performance and capacity were determined. The operating performances of the harvester such as cutting, conveying, flipping, pepper removing and post-processing (sorting) were determined. Daisy capacity of the machine was determined to be 0.41 ha. A pepper harvester with the suggested capacity was economically feasible if the price of pepper harvester, pepper recovery ratio and service life of harvester were about 6 million won, 80%, and 4 years, respectively.