• 전자공학회논문지 IE
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• 제48권4호
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• pp.30-39
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• 2011

본 논문에서는 Smart Floor라는 새로운 개념의 정보공간을 제안한다. Smart Floor는 이동로봇의 경로유도에 필요한 정보를 저장하고 있는 공간으로, 이동로봇은 외부의 도움 없이 목표위치에 도달할 수 있다. 이를 위하여 RFID 태그 포장을 통하여 Smart Floor를 구현하고, UHF(Ultra High Frequency) 대역의 수동 RFID 시스템을 장착한 이동로봇을 제작하였다. Smart Floor에 저장되는 정보는 Q학습을 통해 미리 시뮬레이션 된 값으로, 임의의 시작위치에서 목표위치까지 가는데 필요한 방향값과 Q값이다. 본 연구는 Smart Floor의 구성과 정보를 이용하는 이동로봇 어플리케이션 개발에 도움을 줄 것이다.

• 한국인터넷방송통신학회논문지
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• 제16권5호
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• pp.7-12
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• 2016

일반적으로 은행, 관공서, 병원과 같이 사람이 많은 장소에서는 대체로 고객에게 일정 시간의 대기시간이 요구되며, 이로 인해 고객의 방문 순서에 따라 고객 대기번호가 기재된 순번대기표를 뽑아 순번을 기다리게 된다. 이와 같은 방법에서는 대기 중인 고객은 현재 처리중인 대기 순서를 항상 확인해야 하므로 대기번호표시부가 보이는 장소 내에 있어야 하는 제약이 있어 다른 장소에서 별도의 업무를 볼 수 없다는 문제점이 있다. 본 논문은 스마트폰을 이용한 대기번호를 발급하는 어플리케이션인 SmartQ 시스템을 개발하였다. SmartQ는 스마트폰을 이용하여 기존의 대기번호 발권기를 대체하여 편리하게 순번대기 서비스를 이용할 수 있도록 지원하며, 서비스 알림, 대기인원, 시간대별/업무별 예상대기시간 등을 실시간으로 제공한다.

• 한국공간구조학회논문집
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• 제21권1호
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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.

• 한국콘텐츠학회논문지
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• 제18권12호
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• pp.405-420
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• 2018

지능형 자동차 시장은 초기단계로 소비자들을 위한 관련 기술 및 서비스가 지속적으로 개발되고 있어 잠재 소비자들의 특성을 이해하는 것이 필요하다. 본 연구는 주관성연구방법론을 적용하여 지능형 자동차 잠재 소비자들의 유형을 파악하고 이해하는데 그 목적이 있다. 지능형 자동차의 핵심기술, 기술수용 및 개인 소비가치, 법제도와 정책 및 사회적 인식을 준거의 틀로 하여 총 36개의 Q표본을 구성하였다. 이 후 39명의 P표본을 선정하여 데이터를 수집한 뒤 Q분류와 심층인터뷰를 진행하였다. 분석결과, 지능형 자동차에 대한 잠재 소비자의 유형을 총 4개로 도출하였다. 첫 번째 유형은 지능형 자동차의 자동차 기능을 중요시하는 그룹으로 스마트 자동차(Smart Car) 소비자라고 하였다. 두 번째 유형은 지능형 자동차의 합리적인 경제성을 중요하게 인식하는 그룹으로 합리적(Reasonable) 소비자라 하였다. 세 번째 유형은 지능형 자동차의 안전성을 중요시하는 그룹으로 안전한 자동차(Safety Car) 소비자라 하였다. 네 번째 유형은 지능형 자동차의 IT기능을 중요하게 생각하는 그룹으로 스마트 디바이스(Smart Device) 소비자라 하였다. 응답자들은 공통적으로 지능형 자동차 운전자의 부상을 감소시키는 기능이 지능형 자동차 구매의 핵심 요소라고 대답하였다. 분석결과를 기반으로 초기단계인 지능형 자동차 시장에 대한 시사점을 도출하였다.

• 한국해양공학회지
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• 제35권4호
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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.

• 스마트미디어저널
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• 제8권3호
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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.

• 대한영양사협회학술지
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• 제26권2호
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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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• 제8권6호
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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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• 제14권12호
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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.

• 한국공간구조학회논문집
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• 제22권2호
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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.