• 제목/요약/키워드: materials recognition

검색결과 675건 처리시간 0.031초

PVC 및 GC물질의 혼합액을 코팅한 QCM가스센서의 센싱 및 열화특성 (Sensing and Degradation Properties in the QCM Gas Sensor Coated with the PVC and GC Blended Liquid)

  • 장경욱;김명호;이준웅
    • 한국전기전자재료학회:학술대회논문집
    • /
    • 한국전기전자재료학회 2000년도 하계학술대회 논문집
    • /
    • pp.483-486
    • /
    • 2000
  • In the recognition of the gases using the quartz crystal rnicrobalance (QCM) coated with the film materials, it is important to obtain the recognition ability of gases, and the stability of film coated above the QCM. Especially, the thickness of film coated above the QCM is decreased according with the using circumstance and time of QCM gas sensor. Therefore, the sensing chararcteristics of film is changed with these. In this paper, we coated the lipid GC materials varing with the blended amount of PVC(Po1y Vinyl Chloride) and solution (Tetra Hydrofan:THF) above QCM to obtain the stability of lipid PC film. QCM gas sensors coated with film materials were measured the frequency change in the chamber of stationary gas sensing system injected 1-hexane, ethyl acetate, ethanol and benzene of 20.4 respectively. Also, we measured the degradation characteristics of QCM gas sensor to show the properties of stability.

  • PDF

데크놀로지 활용수업에서 경험적 인식과 수학적 사고에 관한 연구 - 중학교 3학년 기하 단원을 중심으로 (A Study of Mathematical Thinking and Experimental Recognition in using of Technology - Focused on Unit of Geometry at Level of Middle School Student)

  • 정인철;김택수;황운구
    • 한국학교수학회논문집
    • /
    • 제10권2호
    • /
    • pp.207-219
    • /
    • 2007
  • 수학에서 중요한 부분인 증명을 학생들은 어려워한다. 증명을 테크놀로지를 이용하여 대수적 시각화 자료와 특수화된 시각화 자료를 만들어 지도하였다. 그러나 테크놀로지를 활용한 대수적 시각화 자료의 표현상 오류에 의하여, 학생들이 경험적 인식을 가지지 못하여 경험적 정당화를 하는데 어려움이 있었다. 테크놀로지를 활용한 특수화된 시각화 자료는 고정된 경우에만 성립하기 때문에 수학적 사고의 확장을 제한하였다. 이를 해결하기 위해서 테크놀로지를 활용하여 자체 제작한 중학교 3학년 기하단원의 기하적 시각화 자료와 일반화된 시각화 자료를 통해 학생들에게 경험적 인식을 심어주어 경험적 정당화를 시켰으며, 수학적 사고의 향상을 관찰할 수 있었다.

  • PDF

경남지역 초등학교 영양사의 영양교육 실시현황 및 인식조사 - 공동관리 여부와 경력을 중심으로 - (Nutritional Education Status and Recognition of the Importance of Elementary School Dietitians in the Gyeongnam Area)

  • 허은실;양한라;윤현숙;이경혜
    • 대한지역사회영양학회지
    • /
    • 제7권6호
    • /
    • pp.781-793
    • /
    • 2002
  • This study was carried out to investigate the nutritional education status and the recognition of the importance of elementary school dietitians (N=183) in the Gyeongnam area. The results are summarized as follows. All subjects took part in nutritional education program, but the educational methods were passive, as in the case of “home correspondence”(80.8%) and “bulletin board poster”(16.4%), and the education frequency was very low as in “one time/month”(90.2%). The subjects thought “as an independent subject”(41.5%) and “as a related subjects”(35.1%) were suitable teaching venues for the nutritional education. They were very low in individual counseling (4.5%) for school children because of “lack of opportunity”(42.2%) and “heavy work load”(24.1%). However, most of the subjects wished that nutritional counseling could offered in the future (95.5%). The parents' experience of nutritional education was also low (34.3%). Information sources for nutritional education were mainly the “internet”(53.1%) and “re-educational materials” (25.0%). The available instructional materials included “printed materials”(96.7%), “exhibition bulletin materials” (70.3%) and “electronic materials”(46.4%). The preferred education materials were “exhibitionㆍbulletin materials”(32.2%), “printed materials”(29.2%), and “electronic materials”(27.7%). However, materials they wished to purchase were “electronic materials”(54.5%) and “cubic materials”(26.0%). These results show a difference between the preferred materials and the possessed materials. Most school dietitians (98.4%) recognized the necessity of nutritional education with respect to “good table manners”(42.0%), “correction of food prejudices”(30.3%), and “proper nutrition for growth”(21.0%) Although they had a great interest in nutritional education, they had difficulty in cutting their teaming into practice because of “heavy work load”(30.9%), “lack of a systematic curriculum”(25.2%), and “lack of a educational opportunity”(22.8%). Ninety five percent of subjects wished to have nutrition education taught as an independent subject. They pointed out “kindergarten”(60.0%) and “lower grades in elementary school”(33.9%) as the optimal starting times for nutritional education and “school dietitians”(91.3%) as suitable teachers for these programs. The required topics chosen by the subjects for nutritional education for children were “proper eating habits”(54.2%) and “nutritional problem”(31.5%). The dietitians thought “food prejudices”(44.7%), “rat too much processed and instant foods”(36.5%), and “obesity”(11.8%) were the most common nutritional problems among elementary school children. These results suggest the necessity of solving the nutritional problems in children by developing a nutritional education program. Along with this program, if dietitian assisted programs for parents were developed, the effects of nutritional education could definitely be increased.

Fundamental Research for Video-Integrated Collision Prediction and Fall Detection System to Support Navigation Safety of Vessels

  • Kim, Bae-Sung;Woo, Yun-Tae;Yu, Yung-Ho;Hwang, Hun-Gyu
    • 한국해양공학회지
    • /
    • 제35권1호
    • /
    • pp.91-97
    • /
    • 2021
  • Marine accidents caused by ships have brought about economic and social losses as well as human casualties. Most of these accidents are caused by small and medium-sized ships and are due to their poor conditions and insufficient equipment compared with larger vessels. Measures are quickly needed to improve the conditions. This paper discusses a video-integrated collision prediction and fall detection system to support the safe navigation of small- and medium-sized ships. The system predicts the collision of ships and detects falls by crew members using the CCTV, displays the analyzed integrated information using automatic identification system (AIS) messages, and provides alerts for the risks identified. The design consists of an object recognition algorithm, interface module, integrated display module, collision prediction and fall detection module, and an alarm management module. For the basic research, we implemented a deep learning algorithm to recognize the ship and crew from images, and an interface module to manage messages from AIS. To verify the implemented algorithm, we conducted tests using 120 images. Object recognition performance is calculated as mAP by comparing the pre-defined object with the object recognized through the algorithms. As results, the object recognition performance of the ship and the crew were approximately 50.44 mAP and 46.76 mAP each. The interface module showed that messages from the installed AIS were accurately converted according to the international standard. Therefore, we implemented an object recognition algorithm and interface module in the designed collision prediction and fall detection system and validated their usability with testing.

대상물 인식을 위한 지능센서 및 평가기법 개발 (Development Smart Sensor & Estimation Method to Recognize Materials)

  • 황성연;홍동표;정태진;김영문
    • 한국공작기계학회논문집
    • /
    • 제15권3호
    • /
    • pp.73-81
    • /
    • 2006
  • This paper describes our primary study for a new method of recognizing materials, which is need for precision work system. This is a study of dynamic characteristics of smart sensors, new method$(R_{SAI})$ has the sensing ability of distinguishing materials. Experiment and analysis are executed for finding the proper dynamic sensing condition. First, we developed advanced smart sensor. We made smart sensors for experiment. The type of smart sensor is HH type. The smart sensor was developed for recognition of material. Second, we develop new estimation methods that have a sensing ability of distinguish materials. Dynamic characteristics of sensor are evaluated through new recognition index$(R_{SAI})$ that ratio of sensing ability index. Distinguish of object is executed with $R_{SAI}$ method relatively. We can use the $R_{SAI}$ method for finding materials. Applications of this method are finding abnormal condition of object (auto-manufacturing), feeling of object(medical product), robotics, safety diagnosis of structure, etc.

단체급식소에서의 환경운동이 환경문제 인식도와 환경보호 실천도에 미치는 영향 (The Effect of Environmental Campaign on the Recognition of Environmental Problem and the Execution of Environmental Protection in Foodservice)

  • 전무영;민혜선
    • 대한영양사협회학술지
    • /
    • 제6권2호
    • /
    • pp.71-78
    • /
    • 2000
  • Environmental pollution induced by food wastes is considered as one of very serious problems in the world, and it is the most important to reduce the production of food wastes. In this study, environmental campaign for reducing food waste was conducted by applying various campaign methods using such as a bulletin board, intra-network, slogans & posters and news letters, as well as some systems such as penalty and prize in a business & industry foodservice. We investigated customers' recognition and execution degree before and after environmental campaign for the purpose of analyzing the changes of customers' attitude by the campaign. The subjects of this study had generally high level of recognition of environmental problem(3.09 point) compared to the execution degree(1.88 point)(Max. 5 points), implying necessity for the induction of actual execution of food wastes reduction by continuous environmental campaign. After environmental campaign, the recognition of environmental problem related to food wastes was significantly increased from 3.09 point to 3.29 point (p<0.001), and the execution degree for food wastes reduction was also greatly increased from 1.88 to 2.70 point (p<0.001). These changes indicated that campaign for food wastes reduction has raised customers' recognition and execution for environmental protection.

  • PDF

A standardization model based on image recognition for performance evaluation of an oral scanner

  • Seo, Sang-Wan;Lee, Wan-Sun;Byun, Jae-Young;Lee, Kyu-Bok
    • The Journal of Advanced Prosthodontics
    • /
    • 제9권6호
    • /
    • pp.409-415
    • /
    • 2017
  • PURPOSE. Accurate information is essential in dentistry. The image information of missing teeth is used in optically based medical equipment in prosthodontic treatment. To evaluate oral scanners, the standardized model was examined from cases of image recognition errors of linear discriminant analysis (LDA), and a model that combines the variables with reference to ISO 12836:2015 was designed. MATERIALS AND METHODS. The basic model was fabricated by applying 4 factors to the tooth profile (chamfer, groove, curve, and square) and the bottom surface. Photo-type and video-type scanners were used to analyze 3D images after image capture. The scans were performed several times according to the prescribed sequence to distinguish the model from the one that did not form, and the results confirmed it to be the best. RESULTS. In the case of the initial basic model, a 3D shape could not be obtained by scanning even if several shots were taken. Subsequently, the recognition rate of the image was improved with every variable factor, and the difference depends on the tooth profile and the pattern of the floor surface. CONCLUSION. Based on the recognition error of the LDA, the recognition rate decreases when the model has a similar pattern. Therefore, to obtain the accurate 3D data, the difference of each class needs to be provided when developing a standardized model.

대학교 3학년의 치매 인식과 보건교육 요구도: 보건계열과 비보건계열 비교 (The Third Year Students' Recognition Level for Dementia and Health Education Needs in Universities: Comparison between Health Major and Non-health Major)

  • 이준우
    • 한국학교ㆍ지역보건교육학회지
    • /
    • 제10권1호
    • /
    • pp.35-46
    • /
    • 2009
  • Background & Objectives: The purpose of this study was to offer basic materials for the correct comprehension of dementia and of health education needs by comparing the students' recognition level of dementia. Methods: Three health major departments(the department of nursing science, physical therapy and occupational therapy) and three non-health major departments(the department of English, early childhood education and biology) were randomized in universities. And the 180 juniors students involved in this study and their level of educational experience and of recognition of dementia was analyzed. Results: There weas no difference about recognition of social welfare services between the students of health departments and non-health departments, but there were differences between them about other health education needs. Conclusion: Students of non-health majors who learn the subjects unrelated to dementia should get an education on dementia so that they can understand and recognize health education needs on dementia.

  • PDF

Human Activities Recognition Based on Skeleton Information via Sparse Representation

  • Liu, Suolan;Kong, Lizhi;Wang, Hongyuan
    • Journal of Computing Science and Engineering
    • /
    • 제12권1호
    • /
    • pp.1-11
    • /
    • 2018
  • Human activities recognition is a challenging task due to its complexity of human movements and the variety performed by different subjects for the same action. This paper presents a recognition algorithm by using skeleton information generated from depth maps. Concatenating motion features and temporal constraint feature produces feature vector. Reducing dictionary scale proposes an improved fast classifier based on sparse representation. The developed method is shown to be effective by recognizing different activities on the UTD-MHAD dataset. Comparison results indicate superior performance of our method over some existing methods.

철골 및 PC 공사의 물류관리를 위한 문자 인식 기술의 적용성 검토 (A Study on the Applicability of Character Recognition Technology for Construction Supply Chain Management of Structural Steel Components and Precast Concrete Works)

  • 김준식;진상윤;윤수원
    • 한국건설관리학회논문집
    • /
    • 제15권4호
    • /
    • pp.20-29
    • /
    • 2014
  • 건설 프로젝트가 대형화, 복잡화됨에 따라 건설 프로젝트에 투입되는 자재의 효과적 관리를 위하여, 바코드, RFID 등의 다양한 인식 기술의 적용이 시도되고 있다. 하지만 기존의 바코드, RFID 등의 기술의 적용은 기존 관리 업무에서 사용되지 않던 RFID 장비의 추가 투입과 부재 관리를 위한 RFID tag 부착 등의 추가 작업이 요구됨으로써, 공장 및 현장의 작업자들에게 관리 비용 증가, 추가 작업의 번거로움 등의 문제를 발생시키는 한계를 가지고 있었다. 또한 해당 장치를 인식하기 위한 별도의 RFID 리더를 소지하지 않는 경우, 해당 부재를 작업자가 해당 부재의 정보를 인식하기 어려운 한계를 가지고 있다. 따라서 본 연구에서는 Long-lead item 자재 중 철골과 PC 부재를 대상으로, 앞 서 제기된 문제점 개선을 위해 스마트 폰 등의 영상처리 기능을 이용한 문자인식 기술을 대체 기술로 제안하고, 제안된 문자인식 기술의 적용 가능성 테스트를 통해 기술의 적용가능성을 제시하였다. 또한 제안된 문자인식 기술을 보다 효과적으로 적용하기 위한 문자 표기 방식, 코드 체계를 제안하고, 기존 RFID 기반 물류 관리 프로세스와 비교를 통해 문자인식 기술이 실제 적용될 경우의 효과를 제시하였다.