• 전자공학회논문지 IE
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• v.48 no.4
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• pp.30-39
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• 2011

This paper proposed a new concept of information space called Smart Floor. Smart Floor is an intelligent space where a mobile robot can read and write specific information through Radio Frequency IDentification (RFID) tags which are mounted on Smart Floor to drive its goal position. RFID tag packaging technology is described for building Smart Floor. Also a mobile robot equipped passive RFID System with ultra high frequency (UHF) bandwidth has developed. The information that consists of an absolute position in the Smart Floor and desired direction saved on RFID tags is a simulated Q-value based on Q-learning algorithm. Proposed Smart Floor will be a proper method to communicate between space and robot.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.5
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• pp.7-12
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• 2016

In general, crowded places, such as banks, government offices and hospitals, require the customer to wait for a certain period of time. Thus according to the order of the wait, customers takes waiting numbers. In this way, so customers should always check the order of waiting processes that they can not carry on another affairs. In this paper, we develop an application, that is SmartQ, managing queue using a mobile handset. SmartQ is an easy-to-use application allowing customers an alternative to the classic queue management systems. With this application, they are aware of the waiting conditions in real time for each of their services. They can indicate the time they wish to come and take a virtual ticket in the queue. It provides service notification, the number of waiting person, and expected waiting time.

• Journal of Korean Association for Spatial Structures
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• v.21 no.1
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• pp.79-86
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• 2021

Control performance of a smart tuned mass damper (TMD) mainly depends on control algorithms. A lot of control strategies have been proposed for semi-active control devices. Recently, machine learning begins to be applied to development of vibration control algorithm. In this study, a reinforcement learning among machine learning techniques was employed to develop a semi-active control algorithm for a smart TMD. The smart TMD was composed of magnetorheological damper in this study. For this purpose, an 11-story building structure with a smart TMD was selected to construct a reinforcement learning environment. A time history analysis of the example structure subject to earthquake excitation was conducted in the reinforcement learning procedure. Deep Q-network (DQN) among various reinforcement learning algorithms was used to make a learning agent. The command voltage sent to the MR damper is determined by the action produced by the DQN. Parametric studies on hyper-parameters of DQN were performed by numerical simulations. After appropriate training iteration of the DQN model with proper hyper-parameters, the DQN model for control of seismic responses of the example structure with smart TMD was developed. The developed DQN model can effectively control smart TMD to reduce seismic responses of the example structure.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.405-420
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• 2018

As the intelligent vehicle market continues to develop relevant technologies and services for consumers, it is necessary to understand the characteristics of potential consumers. The purpose of this study is to identify and understand the types of potential consumers of intelligent vehicle using the Q-methodology. A Q-frame was constructed using thirty six statements from intelligent vehicle related literature concerning core technology, technology acceptance and personal consumption value, legal system and policy and social awareness. Q-sorting and in-depth interviews were conducted using thirty nine P-samples snowballed. Analysis produced four types of potential consumers for intelligent vehicle: Smart Car Consumer, Reasonable Consumer, Safety Car Consumer, and Smart Device Consumer. Smart Car Consumer value the vehicle capability of intelligent vehicle as most important while Reasonable Consumer focus upon the economics of intelligent vehicle. Safety Car Consumer recognize the safety of intelligent vehicle as most important while Smart Device Consumer highly value the IT functions provided by intelligent vehicles. Across these four different types of consumers, preventing injuries of intelligent vehicle drivers turned out to be the most common critical factor in assessing intelligent vehicle. Implications for the intelligent vehicle market is discussed at the end with further studies needed.

• Journal of Ocean Engineering and Technology
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• v.35 no.4
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• pp.266-272
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• 2021

Mooring systems are among the most important elements employed to control the motion of floating offshore structures on the sea. Considering the use of polymer material, a new method is proposed to address the creep characteristics rather than the method of using a tension load cell for measuring the tension of the mooring line. This study uses a synthetic mooring rope made from a polymer material, which usually consists of three parts: center, eye, and splice, and which makes a joint for two successive ropes. We integrate the optical sensor into the synthetic mooring ropes to measure the rope tension. The different structure of the mooring line in the longitudinal direction can be used to measure the loads with the entire mooring configuration in series, which can be defined as SMART (Smart Mooring and Riser Truncation) mooring. To determine the characteristics of the basic SMART mooring, a SMART mooring with a diameter of 3 mm made of three different polymer materials is observed to change the wavelength that responds as the length changes. By performing the longitudinal tension experiment using three different SMART moorings, it was confirmed that there were linear wavelength changes in the response characteristics of the 3-mm-diameter SMART moorings. A 54-mm-diameter SMART mooring is produced to measure the response of longitudinal tension on the center, eye, and splice of the mooring, and a longitudinal tension of 100 t in step-by-step applied for the Maintained Test and Fatigue Cycle Test is conducted. By performing a longitudinal tension experiment, wavelength changes were detected in the center, eye, and splice position of the SMART moorings. The results obtained from each part of the installed sensors indicated a different strain measurement depending on the position of the SMART moorings. The variation of the strain measurement with the position was more than twice the result of the difference measurement, while the applied external load increased step-by-step. It appears that there is a correlation with an externally generated longitudinal tensional force depending on the cross-sectional area of each part of the SMART mooring.

• Smart Media Journal
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• v.8 no.3
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• pp.17-22
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• 2019

Signature-based intrusion systems use intrusion detection rules for detecting intrusion. However, writing intrusion detection rules is difficult and requires considerable knowledge of various fields. Attackers may modify previous attempts to escape intrusion detection rules. In this paper, we deal with the problem of detecting modified attacks based on previous intrusion detection rules. We show a simple method of reporting approximate occurrences of at least one of the network intrusion detection rules, based on q-grams and the longest increasing subsequences. Experimental results showed that our approach could detect modified attacks, modeled with edit operations.

• Journal of the Korean Dietetic Association
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• v.26 no.2
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• pp.126-140
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• 2020

The purpose of this study was to investigate the association between dietary quality and smart device use among middle school students. A total of 330 middle school students (171 boys and 159 girls) residing in Incheon participated in this questionnaire survey in June 2018. The boys and girls were divided into two groups according to their daily use time of smart devices: less than 3 hours a day (<3 hours) and 3 hours or more a day (≥3 hours). Eating habits and dietary quality were assessed using a nutrition quotient for adolescents (NA-Q). For boys and girls, higher consumption frequency of white milk was significantly associated with less time spent using a smart device. For boys, a higher number of vegetable dishes and eating frequency of breakfast were significantly associated with the less time spent using a smart device. For girls, higher consumption frequency of processed beverages, ramyeon, and street foods was significantly associated with more time spent using a smart device. For boys and girls, those who spent more time using a smart device had significantly lower NA-Q scores, indicating low dietary quality. To sum up, more time spent using a smart device among middle school students may be associated with lower dietary quality. These results suggest the need to provide a nutrition education program and guidelines to students who use smart devices for a long time.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.6
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• pp.2171-2185
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• 2014

From the perspectives of regulation and convergence, several debates on the industrial definition of smart TV service in the Korean broadcasting and communications market are currently in progress. The most heated controversy mainly depends on whether smart TV is controlled under broadcasting regulations or under communications regulations. This Korean- specific problem is summarized in regulation fairness or asymmetric regulations between smart TV and IPTV operators. Although both operators utilize very similar technology and share the same business model, the regulations for only smart TV operators are unfettered. This would be an intrinsic cause that prohibits fair competition in the new converging market. Currently we confront the matter of asymmetric regulations between smart TV and others including IPTV or ISP. The purpose of this study, thus, is to provide the strategic, regulatory guidance and theoretical definitions on smart TV service, as one of converging services, based on a qualitative approach through subjectivity methodology. The study identifies three issues net neutrality, regulation fairness and new media and new market and proposes desirable promotion plans regarding those issues. The study draws lessons learned through a Korean smart TV case and provides directions to strategic-policy studies for future emergent converging services.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.12
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• pp.4748-4762
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• 2020

Recently, the COVID 19 pandemic has affected on our daily lives and society in many ways. Specifically, it has brought rapid changes in the working environment from office working to smart telecommuting. In addition, cloud computing technology and services not only provided ubiquitous access, but also led to a sharing of information, internal-external communication channels, telework, and innovative smart work for the business process. As a result, smart work services based on social cloud networking have spread to the public sector. However, existing academic research examining smart work merely remains to focus on the theoretical conceptualization or to deal with merely several examples of private views. Best practices of smart work services based on cloud computing technology in the public field rarely exists. Moreover, many studies have been differently measured the values of smart work for private and public sectors depending on organizational singularities. Therefore, the study aims to define new theoretical implications and to explore future business strategies and policy directions based on a technical working group's personal psychological subjectivity. The research applied Q methodology, and selected five public organizations in Korea, that they have adopted or currently plan to adopt some part of smart work services.

• Journal of Korean Association for Spatial Structures
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• v.22 no.2
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• pp.39-46
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• 2022

Recently, machine learning is widely used to solve optimization problems in various engineering fields. In this study, machine learning is applied to development of a control algorithm for a smart control device for reduction of seismic responses. For this purpose, Deep Q-network (DQN) out of reinforcement learning algorithms was employed to develop control algorithm. A single degree of freedom (SDOF) structure with a smart tuned mass damper (TMD) was used as an example structure. A smart TMD system was composed of MR (magnetorheological) damper instead of passive damper. Reward design of reinforcement learning mainly affects the control performance of the smart TMD. Various hyper-parameters were investigated to optimize the control performance of DQN-based control algorithm. Usually, decrease of the time step for numerical simulation is desirable to increase the accuracy of simulation results. However, the numerical simulation results presented that decrease of the time step for reward calculation might decrease the control performance of DQN-based control algorithm. Therefore, a proper time step for reward calculation should be selected in a DQN training process.