본고는 모바일 러닝 기반 환경에서의 중국어 쓰기 교육방안 연구를 하고자 한다. 이를 위해 수업에 효과가 있는 교수-학습 방안을 실제 개발 및 적용하며 교육 방안을 제시하고자 한다. 또한 모바일 러닝 기반 중국어 쓰기 수업의 효과 분석 및 학습자의 정의적 영역에 미치는 영향을 분석하고 국내 적용 가능한 모바일 러닝 기반 중국어 쓰기 수업 활용방안을 제언하고자 한다. 이에 본 연구는 모바일 러닝 기반 환경에서의 중국어 쓰기 수업에 효과가 있는 교수-학습 방안 개발과 이런 교수-학습 방안들이 중국어 학습자들에게 중국어 쓰기 능력과 중국어 학습에 어떠한 영향을 미쳤는지, 또한 실제 효과가 있었는지에 대한 실험 검증을 실시하고 분석하고자 한다.

The degree and intensity of unpleasant and disgusting odors perceived through a person's sense of smell can vary depending on personal or social and cultural characteristics. In addition, it is not effective to manage odors solely on the basis of concentration levels because odors can be combined according to temperature, humidity, and frequency, so that they can be recognized differently even if the same person smells the same substance. The mobile odor application was developed to enable real time monitoring of odor characteristics reflecting the actual condition of the field. Accordingly, the Green Future Foundation, a civic group, conducted an environmental campaign to record and share the information of odors in school zone using the first version of the application. The real time monitoring of field odor was able to improve the problems of the current standard methods for the examination and assessment of odors. However, with regard to the first version of the application, the process and results of odor recording through odor measurement applied the direct olfactory method and were less relevant. Therefore, it was difficult to organize data due to duplicate selection. For that reason, this study was conducted to overcome the problems of the first version of the mobile application and to effectively and accurately reflect odors and personal characteristics. This odor application that has been developed is able to monitor and assess odors based on 5 features: classification, character, strength level, hedonic tone, and acceptability.

The role of QR Code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR Codes and the convenience of producing and attaching a lot of information within QR Codes have been raised, and many of these reasons have made QR Codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR codes with the same horizontal and vertical sides, and the error is to create a QR Code robot with accuracy to reach within 3mm. This paper focuses on the QR Code recognition mobile robotics study during the development of QR Code-aware indoor mobility robots.

해기사의 과도한 직무스트레스는 신체적, 정신적으로 부정적인 영향을 미치며, 이로 인한 이직은 원활한 해기인력 수급에 영향을 미칠 수 있다. 본 연구에서는 해기사의 체계적인 직무스트레스 측정 및 관리를 위한 도구로써 모바일 웹 애플리케이션을 개발 하고 품질평가를 통하여 검증하였다. 애플리케이션의 개발은 전통적인 소프트웨어 개발 방식인 Waterfall 모델에 따라 수행되었다. 요구분석 단계에서는 현직 해기사 및 해상직원 인사담당자 각 5명을 대상으로 Brain Storming을 실시하고 그 결과를 설계에 반영하였다. 설계 및 개발 단계에서는 요구사항 분석 결과를 바탕으로 애플리케이션을 설계하고, JSP와 Spring Framework를 활용하여 기능을 구현하였다. 애플리케이션의 작동 Test를 수행한 결과 사용자 인터페이스에서 입력한 직무스트레스, 정신건강, 진로적응성 등 입력 데이터에 따른 정상적인 출력 결과가 도시되었으며, 관리자 인터페이스에도 응답자의 입력 결과가 정상적으로 도시되고, 데이터베이스로 구성됨을 확인하였다. 요구사항 분석 참여 집단을 대상으로 ISO/IEC 9126-2 메트릭 기반의 5점 척도 품질평가를 시행한 결과 사용자 인터페이스 4.70점, 관리자 인터페이스 4.72점으로 유의한 결과가 도출되었다. 본 연구를 통해 개발한 애플리케이션은 사용자 요구를 반영한 지속적인 개정 및 보완이 필요하며, 향후 수집된 Data의 분석 및 활용을 위한 시스템 구축에 관한 연구가 필요하다.

With the recent development of autonomous driving technology, many researchers have studied autonomous mobile robots. Accordingly, they are developing diverse mobile robot actuators. However, most actuators mainly use reducers made of chains, belts, multi-stage gears, etc. So the volume and size of the actuators increase, and power transmission efficiency tends to be relatively low. Therefore, this study has proposed the reducer of the mobile robot actuator using a complex planetary gear train with small volume and high power transmission efficiency, and has confirmed the stability of the proposed reducer through finite element analysis.

The role of QR Code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR Codes and the convenience of producing and attaching a lot of information within QR Codes have been raised, and many of these reasons have made QR Codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR Codes with the same horizontal and vertical sides, and the error is to create a QR Code robot with accuracy to reach within 3mm. This paper focuses a suggestion of control method in QR Code-aware indoor mobility robots.

Recently, with the development of technologies for the fourth industrial revolution, convergence and complex technology are being applied to aircraft, electronic home appliances and mobile devices, and the number of parts used is increasing. Increasing the number of parts and the application of convergence technologies such as HW (hardware) and SW (software) are increasing the No Defect Found (NDF) phenomenon in which the defect is not reproduced or the cause of the defect cannot be identified in the subsequent investigation systems after the discovery of the defect in the product. The NDF phenomenon is a major problem when dealing with complex technical systems, and its consequences may be manifested in decreased safety and dependability and increased life cycle costs. Until now, NDF-related prior studies have been mainly focused on the NDF cost estimation, the cause and impact analysis of NDF in qualitative terms. And there have been no specific methodologies or examples of a working-level perspective to reduce NDF. The purpose of this study is to present a practical methodology for reducing NDF phenomena through data mining methods using quantitative data accumulated in the enterprise. In this study, we performed a cluster analysis using market defects and design-related variables of mobile devices. And then, by analyzing the characteristics of groups with high NDF ratios, we presented improvement directions in terms of design and after service policies. This is significant in solving NDF problems from a practical perspective in the company.

본 연구는 JD-R 이론, WH-R 모형을 기반으로 기혼 여성근로자들의 프로틴 경력지향성이 경력만족에 미치는 영향을 보다 세부적으로 탐색하기 위해 일-가정 균형과 업무 후 모바일기기 사용의 조절된 매개 효과를 검증하였다. 이를 통해, 일-가정 균형의 단순 매개효과, 업무 후 모바일기기 사용의 단순 조절 효과를 검증하는 것이 아니라 조절된 매개효과라는 하나의 종합적 모형으로 실증 분석하였다. 국내 제조업과 주요 서비스업 등에 종사하고 있는 기혼 여성 직원 278명을 대상으로 한 연구결과는 다음과 같다. 첫째, 프로틴 경력지향성은 일-가정 균형과 경력만족에 긍정적 영향을 주었다. 둘째, 프로틴 경력지향성과 경력만족에서 일-가정 균형에 의한 업무 후 모바일기기 사용의 조절된 매개효과가 검증되 었다. 본 연구결과를 바탕으로 시사점과 연구 한계점 및 향후 연구 방향이 논의되었다.

The role of QR code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR codes and the convenience of producing and attaching a lot of information within QR codes have been raised, and many of these reasons have made QR codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR codes with the same horizontal and vertical sides, and the error is to create a QR code robot with accuracy to reach within 3mm. This paper focuses on the driving operation techniques during the development of QR code-aware indoor mobility robots.

The role of QR code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR codes and the convenience of producing and attaching a lot of information within QR codes have been raised, and many of these reasons have made QR codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR codes with the same horizontal and vertical sides, and the error is to create a QR code robot with accuracy to reach within 3mm. This paper focuses on the moving control model during the development of QR code-aware indoor mobility robots.

Metal bodies have generally been produced through machining process, even the smallest parts that are assembled and mounted on the metal body. In this study, we will study the process of manufacturing parts called SIM Tray through compound forging process instead of cutting. The process of replacing a series of SIM Tray production process with a composite forging process by simulating the forming process using DEFORM-3D and making process design, mold design, mold fabricating.

목적 : 본 연구에서는 다양한 방법들을 이용하여 토릭렌즈 마킹 회전량을 평가할때 일치도를 평가측정하고자 하였다. 방법 : 모형안과 콘택트렌즈 착용이 가능한 57안(평균 24.79±1.29세)을 대상으로 토릭소프트렌즈를 제조사의 가이드라인에 따라 피팅한 후, 사진 촬영, 각도기 어플리케이션, 휴대용 돋보기와 세극등 현미경을 사용하여 회전 평가를 진행했을 때의 서로 다른 검사자 간의 검사 결과값을 비교 분석하였고, 서로 다른 회전평가 방법 간의 일 치도는 블랜드 알트만 분석을 사용하였다. 결과 : 서로 다른 검사자 간 같은 회전평가 방법으로 토릭소프트렌즈의 회전량을 측정하였을 때, 측정값의 평 균 차이가 사진 촬영, 각도기 어플리케이션, 휴대용 돋보기, 세극등 현미경 평가 방법 각각 –0.50, -0.70, -0.30, -0.13°로 유사한 결과를 보였다. 회전평가 방법 간 비교에 대해서는 사진 촬영과 각도기 어플리케이션을 사용했을 때, 허용 오차 범위(5°) 내의 측정값이 각각 74.56%, 75.44%로 비교적 낮은 신뢰도를 보였고 휴대용 돋 보기를 사용한 방법에서는 95.61%로 높은 신뢰도를 보였다. 결론 : 토릭소프트렌즈 처방에서 세극등 현미경을 사용할 수 없어도 사진 촬영, 핸드폰 각도기 어플리케이션, 휴대용 돋보기를 통해 토릭소프트렌즈 회전평가에 대한 임상적으로 유용한 결과를 얻을 수 있다.

The object of this study is to analyse the intention to use mobile payment in transportation system through four dimensions which is cashless Characteristics, Individual Differences, Adoption Readiness and Perceived Credibility Risk. 1080 respondent data gathered by the survey method and analysed by SEM-PLS. The study shows that the main reason for the society to use mobile payment in transportation systems are the facilitating conditions and perceived usefulness. While the perceived usefulness is significantly affected by the compatibility and convenience. It brings a big impact toward the increasing use of mobile payment if the company focused on that variables for markets their products. Furthermore, the facilitating conditions can be increased by adding more infrastructure and more effective, integrated, and efficient system to also increase the convenience and compatibility of using the mobile payment. Perceived Usefulness also can be increased by adding more promotion, discount, and partnering merchants that can be used through mobile payment. This study can assist the business owner what to focus their business model to efficiently exert appropriate investment and effort in the transportation system.