• 제목/요약/키워드: Traditional uses

검색결과 975건 처리시간 0.032초

복강경 수술 로봇의 힘 반향을 위한 임피던스 모델 기반의 양방향 제어 (Impedance Model based Bilateral Control for Force reflection of a Laparoscopic Surgery Robot)

  • 윤성민;김원재;이민철
    • 제어로봇시스템학회논문지
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    • 제20권8호
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    • pp.801-806
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    • 2014
  • LAS (Laparoscopy Assisted Surgery) has been substituted alternatively for traditional open surgery. However, when using a commercialized robot assisted laparoscopic such as Da Vinci, surgeons have encountered some problems due to having to depend only on information by visual feedback. To solve this problem, a haptic function is required. In order to realize the haptic teleoperation system, a force feedback and bilateral control system are needed. Previous research showed that the perturbation value estimated by a SPO (Sliding Perturbation Observer) followed a reaction force that loaded on the surgical robot instrument. Thus, in this paper, the force feedback problem of surgical robots is solved through the reaction force estimation method. This paper then introduces the possibility of the haptic function realization of a laparoscopic surgery robot using a bilateral control system. For bilateral control, the master uses an impedance control and the slave uses a SMC (Sliding Mode Control). The experiment results show that a torque and force sensorless teleoperation system can be implemented using a bilateral control structure.

서울, 경기지역의 황기에 대한 인지도 및 이용실태 조사 (An Investigative Analysis of Recognition and Uses for Astragalus Membranaceus in Seoul and Kyunggido Area)

  • 김명선;오윤재
    • 대한가정학회지
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    • 제47권7호
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    • pp.109-116
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    • 2009
  • This study was conducted to investigate the recognition and uses of Astragalus membranaceus. The survey methodology employed was a questionnaire, which interviewed 272(37.8%) males and 448(62.2%) females from the Seoul and Kyunggido area. The main results are as follows: 40-50 years old like and eat Astragalus membranaceus more frequently than 10-30 years old. The most popular reason provided for the preference of Astragalus membranaceus was good health benefits. People indicating a dislike for Astragalus membranaceus had generally fewer previous experiences of eating this plant. The main purchasing place appears to be traditional markets and supermarkets. Astragalus membranaceus was acknowledged as having the following characteristics ‘excellent nutrition’(3.82), ‘natural food’(3.76), ‘possessing anti-cancer and anti-oxidization characteristics’(3.70) and ‘good for liver function, a depressant and good coelenteron effects’(3.62). However, it was not associated with a ‘cheap price’(3.02) and was regarded as ‘difficult for buy’(3.10). Recognition and eating experience was low for Astragalus membranaceus kimchi and rice bread, bread, sauce and Astragalus membranaceus added health drinks. However opinion of its taste was regarded highly.

2000년대 패션에 표현된 페이크 디자인 연구 (A Study of Fake Design in the Fashion of the 2000s)

  • 박은경
    • 복식
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    • 제60권3호
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    • pp.110-122
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    • 2010
  • The purpose of this study is to analyze the expressional traits and internal meanings of fake design in the 2000s' fashion, based on study of art and design area. For achieving the purpose, this study performed related research works and a demonstrative analysis of fashion collection photographs. The scope of this study is from 2000 to 2009. The results are as follows. Fake design uses trompe-l'oeil which is an art technique related to the meanings of 'deceive or fool the eye'. This eye-deceiving technique has been used for a long time in the art, and particularly noticed as one of techniques of Surrealism. Art works using trompe-l'oeil express familiar and unreasonable world at the same time, and also the fusion of reality and fabrication. Fake design in design area of the 2000s makes people take daily life in unfamiliar way by unusualness and breaking the boundary between real and fake. By fake design, people can enjoy fun and a sense of freedom with amusement rather than unpleasant of being deceived. Fake design in the fashion of the 2000s uses eye-deceiving technique and also focuses on the concept of 'fake'. The expressional traits were categorized as realistic expression, surrealistic expression and fake value expression. The internal meanings were analyzed as breaking boundary between real and fake, rediscover dailiness, new attitude to traditional thinking. In conclusion, fake design in the fashion of the 2000s gives playfulness, fun, feeling of release and will be pursued continually.

맥파 재현장치 개발 동향 (A review on development trends of arterial pulse simulators)

  • 민상원;고복영;장재순;김기왕
    • 대한한의진단학회지
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    • 제16권2호
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    • pp.1-10
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    • 2012
  • Objectives : Recently, for over ten years, various arterial pulse simulators have been developed for training of pulse palpation technique. In this paper, we summarized development trends of those apparatuses. Materials and methods : To search the cases of development, we mainly used China Knowledge Infrastructure (CNKI), National Discovery for Science Leaders (NDSL), Korean Traditional Knowledge Portal, Patent Search by Baidu (百度專利搜索), and some general search engines. Some domain cases introduced were collected based on personal experience. Results : It was found that there were two types of arterial pulse simulators. The first type uses fluids and pumps, while the second type uses actuators without fluid circulation parts. Conclusion : From year 2000, various arterial pulse simulators have been developed. In general, they could be classified two types. Further effort toward Maixiang (脈象) simulation and validation in field is needed.

사과의 이용실태, 기호도 및 인식에 대한 조사연구 (A Survey on Uses, Preference and Recognition of Apple)

  • 최영희;이수진
    • 한국식생활문화학회지
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    • 제20권2호
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    • pp.204-213
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    • 2005
  • This study was focused on the analysis of questionnaire that surveyed the uses, preference and recognition on apple. The subjects of this study consisted of 452 female(married 238, unmarried 214) in Daegu area. Among those respondents, 49.1% answered that they ate apple after dinner. Respondents preferred as purchase place fruits store(34.5%), traditional market(22.6%), and big discount store(21.7%), in order. Taste(46.0%) was the most important as purchase criterion. 49.1% of respondents preferred small amount below 2-3kg every one purchase. In preference survey on apples, 80.5% of total subjects responded 'like' or 'very like', and 73.6% of those subjects who favorably responded liked the 'taste' of apples. The preference survey study on apple foods revealed that respondents preferred the most apple juice(M=3.47), fellowed by apple jam(M=3.35) and apple vinegar(M=3.21). On the other hand, apple bab(M=2.29) and apple jook(M=2.23) had the most low preference score. The recognition survey study on apple revealed that respondents knew relatively well the followings: apple is natural food(M=4.25), apple is good for body and apple is good for beauty(M=4.20). Respondents required apple to be fresher(41.0%) and taster(37.4%). 89.4% of respondents expected that consumption of apples would be increased or maintain at the present level.

Internal Company Factors as Determining Variables for Improving Bank Lending

  • PRAWITASARI, Dian;KADARNINGSIH, Ana;MACHMUDDAH, Zaky;UD-DIN, Maaz
    • The Journal of Asian Finance, Economics and Business
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    • 제7권8호
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    • pp.205-212
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    • 2020
  • This study seeks to examine the main factors, external and internal to the bank, that enhance bank lending. Bank lending is one of the connecting bridges in sustaining society. Internal factors consist of ROA, DPK, and CAR. External factors are economic growth and interest rate of Bank Indonesia. The population of this research consists of traditional commercial banks listed on the IDX over the 2014-2017 period. Samples were chosen by purposive sampling method. This study uses secondary data with 56 samples; data analysis uses multiple linear regression. The findings of the study show that internal factors have a greater impact on increasing bank lending than external factors. The main variable among internal factors that influences increase in bank lending is ROA. DPK is the internal factor with the smallest impact on increasing bank lending. The implication of the study is that determining the bank lending should take more account of CAR, DPK, ROA, BI interest rates, and economic growth in making decisions about the amount of lending. These variables can only have a slight effect on increasing lending, though. Besides, internal factors such as NPL, LDR or non-economic factors also need to be considered in channeling bank credit.

Utilization of Planned Routes and Dead Reckoning Positions to Improve Situation Awareness at Sea

  • Kim, Joo-Sung;Jeong, Jung Sik;Park, Gyei-Kark
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제14권4호
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    • pp.288-294
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    • 2014
  • Understanding a ship's present position has been one of the most important tasks during a ship's voyage, in both ancient and modern times. Particularly, a ship's dead reckoning (DR) has been used for predicting traffic situations and collision avoidance actions. However, the current system that uses the traditional method of calculating DR employs the received position and speed data only. Therefore, it is not applicable for predicting navigation within the harbor limits, owing to the frequent changes in the ship's course and speed in this region. In this study, planned routes were applied for improving the reliability of the proposed system and predicting the traffic patterns in advance. The proposed method of determining the dead reckoning position (DRP) uses not only the ships' received data but also the navigational patterns and tracking data in harbor limits. The Mercator sailing formulas were used for calculating the ships' DRPs and planned routes. The data on the traffic patterns were collected from the automatic identification system and analyzed using MATLAB. Two randomly chosen ships were analyzed for simulating their tracks and comparing the DR method during the timeframes of the ships' movement. The proposed method of calculating DR, combined with the information on planned routes and DRPs, is expected to contribute towards improving the decision-making abilities of operators.

Strategy for the Seamless Mode Transfer of an Inverter in a Master-Slave Control Independent Microgrid

  • Wang, Yi;Jiang, Hanhong;Xing, Pengxiang
    • Journal of Power Electronics
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    • 제18권1호
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    • pp.251-265
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    • 2018
  • To enable a master-slave control independent microgrid system (MSCIMGS) to supply electricity continuously, the microgrid inverter should perform mode transfer between grid-connected and islanding operations. Transient oscillations should be reduced during transfer to effectively conduct a seamless mode transfer. This study uses a typical MSCIMGS as an example and improves the mode transfer strategy in three aspects: (1) adopts a status-tracking algorithm to improve the switching strategy of the outer loop, (2) uses the voltage magnitude and phase pre-synchronization algorithm to reduce transient shock at the time of grid connection, and (3) applies the hybrid-sensitivity $H_{\infty}$ robust controller instead of the current inner loop to improve the robustness of the controller. Simulations and experiments show that the proposed strategy is more practical than the traditional proportional-derivative control mode transfer and effective in reducing voltage and current oscillations during the transfer period.

Automatic Road Extraction by Gradient Direction Profile Algorithm (GDPA) using High-Resolution Satellite Imagery: Experiment Study

  • Lee, Ki-Won;Yu, Young-Chul;Lee, Bong-Gyu
    • 대한원격탐사학회지
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    • 제19권5호
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    • pp.393-402
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    • 2003
  • In times of the civil uses of commercialized high-resolution satellite imagery, applications of remote sensing have been widely extended to the new fields or the problem solving beyond traditional application domains. Transportation application of this sensor data, related to the automatic or semiautomatic road extraction, is regarded as one of the important issues in uses of remote sensing imagery. Related to these trends, this study focuses on automatic road extraction using Gradient Direction Profile Algorithm (GDPA) scheme, with IKONOS panchromatic imagery having 1 meter resolution. For this, the GDPA scheme and its main modules were reviewed with processing steps and implemented as a prototype software. Using the extracted bi-level image and ground truth coming from actual GIS layer, overall accuracy evaluation and ranking error-assessment were performed. As the processed results, road information can be automatically extracted; by the way, it is pointed out that some user-defined variables should be carefully determined in using high-resolution satellite imagery in the dense or low contrast areas. While, the GDPA method needs additional processing, because direct results using this method do not produce high overall accuracy or ranking value. The main advantage of the GDPA scheme on road features extraction can be noted as its performance and further applicability. This experiment study can be extended into practical application fields related to remote sensing.

A Deep Learning Model for Extracting Consumer Sentiments using Recurrent Neural Network Techniques

  • Ranjan, Roop;Daniel, AK
    • International Journal of Computer Science & Network Security
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    • 제21권8호
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    • pp.238-246
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    • 2021
  • The rapid rise of the Internet and social media has resulted in a large number of text-based reviews being placed on sites such as social media. In the age of social media, utilizing machine learning technologies to analyze the emotional context of comments aids in the understanding of QoS for any product or service. The classification and analysis of user reviews aids in the improvement of QoS. (Quality of Services). Machine Learning algorithms have evolved into a powerful tool for analyzing user sentiment. Unlike traditional categorization models, which are based on a set of rules. In sentiment categorization, Bidirectional Long Short-Term Memory (BiLSTM) has shown significant results, and Convolution Neural Network (CNN) has shown promising results. Using convolutions and pooling layers, CNN can successfully extract local information. BiLSTM uses dual LSTM orientations to increase the amount of background knowledge available to deep learning models. The suggested hybrid model combines the benefits of these two deep learning-based algorithms. The data source for analysis and classification was user reviews of Indian Railway Services on Twitter. The suggested hybrid model uses the Keras Embedding technique as an input source. The suggested model takes in data and generates lower-dimensional characteristics that result in a categorization result. The suggested hybrid model's performance was compared using Keras and Word2Vec, and the proposed model showed a significant improvement in response with an accuracy of 95.19 percent.