• Title/Summary/Keyword: 팔로우

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Outdoor Smart Follow Cart using Bluetooth Function of Smartphone (스마트폰의 Bluetooth 기능을 활용한 실외용 스마트 팔로우 카트)

  • Kim, Ji-Hoon;Kim, Young-Bin;Choi, Seong-Rak;Han, Young-Oh
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.5
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    • pp.959-968
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    • 2022
  • In this paper, we intend to develop a cart with the convenience of moving objects or items that are difficult to hold by the hand of the disabled and the elderly from outdoor activities to a moving location. Using GPS module, DC motor, Bluetooth module, magnetometer sensor, and Blynk application, the smart follow cart was programmed to accurately know the owner's location while following the cart. The values of latitude and longitude of the magnetometer sensor are set so that the correct leverage value can be obtained in the lead for fine adjustment of the start and stop angles so that the user's position can be freely detected. The above motor driver L298n was connected to the motor to drive the DC motor at a fine angle. A smart follow cart was implemented that receives location signals according to the direction of the owner by turning on/off the mobile phone app as a switching role by connecting the GPS through Bluetooth wireless communication using a smartphone.

Modeling Twitter Follower's Behavior Analysis (트위터에서 팔로워의 행태분석 모델)

  • Jeong, Kwang-Yong;Seol, Jae-Wook;Lee, Kyung-Soon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.604-607
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    • 2012
  • 소셜 네트워크 서비스의 하나인 트위터는 팔로우를 통하여 사용자 간의 관계를 맺을 수 있다. 트위터 사용자들은 다양한 팔로워들이 존재한다. 이 팔로워들은 사용자에 대한 호감을 가지고 팔로우 하거나, 맹목적으로 추종하거나, 부정적인 의견을 지니고 사용자의 행동과 글을 관찰하기 위해 팔로우할 수도 있다. 본 논문에서 사용자에게 팔로워들이 어떠한 목적으로 그 사용자를 팔로워의 행태를 분석하는 모델을 제안한다. 대상사용자의 영향력 있는 팔로워를 추출하고, 팔로워의 리트윗 정보, 프로파일, 최신 트윗의 감정분석을 통해 지지자, 중립, 비지지자로 분류한다. 제안 방법의 유효성을 검증하기 위해 트윗 데이터에서 정치인과 언론인 5 명의 팔로워들 중 무작위로 3 만명을 추출하여 실험하였다. 실험 결과 영향력 있는 사용자 추출을 통한 지지 팔로워 추출이 효과적임을 알 수 있다.

Expressed Follow Pan's real expression study in a long piece Japanese Animation (일본 장편 애니메이션 작품에 표현된 Follow Pan의 실재감 표현연구)

  • Kim Jea-Ho
    • Journal of Science of Art and Design
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    • v.8
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    • pp.45-61
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    • 2005
  • The 2D animation screen is a screen work that is produced on the plane. So, it is superficial in terms of space. Therefore, we expressed via picture technique that uses the movement of camera and back-ground in order to recreate the image of realistic feeling that has multiple effect. Though all multiple-effects were expressed realistically in the early Disney animation of the United States, Japan used the expression of Follow Pan profoundly to provide the animation with economic expression of picture and the depthof screen in order to realize a new technical expression of limited animation while it was producing TV series works in 1960s. Now it is positively expressed even in the United States, too. This study tries to analyze the example that applied the long piece works of Japan which was expressed via the Follow Pan, that is, the movement of camera, to the real approach.

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Community Driving using Distance Control between Vehicles (차량 간 거리 제어를 이용한 군집 주행)

  • Park, Jin-Chun;Kim, Min-Kyu;Lee, Moon-Hyuk;Han, Hee-Ju;Lee, Seung-Dae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.5
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    • pp.1071-1078
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    • 2018
  • In this paper, we implemented community driving system for auto-vehicles as a preceding research of drone's community flight. We used ultrasonic sensors in order to measure the distance between vehicles, and designed each vehicles to maintain specific distance to each other, by making the following vehicle to stop moving when the distance is closed to less than 20cm, to start moving when the distance increases to more than 30cm. We have also designed vehicle to accelerate until the distance is closed to 30cm when they are apart for more than 40cm due to contingencies during driving.

Extracting Method of User's Interests by Using SNS Follower's Relationship and Sequential Pattern Evaluation Indices for Keyword (키워드를 위한 시퀀셜 패턴 평가 지표와 SNS 팔로워의 관계를 이용한 사용자 관심사항 추출방법)

  • Shin, Bong-Hi;Jeon, Hye-Kyoung
    • Journal of the Korea Convergence Society
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    • v.8 no.8
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    • pp.71-75
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    • 2017
  • Due to the spread of SNS, web-based consumer-generated data is increasing exponentially. It is important in many fields to accurately extract what is appropriate for the user's interest in a large amount of data. It is especially important for business mangers to establish marketing policies to find the right customers for them in many users. In this paper, we try to obtain important information centering on customers who are interested in each account through Twitter follow - following relationship. Because Twitter's current follower relationships do not reflect the user's interests, we try to figure out the details of interest using keyword extraction methods for tweets of followers. To do this, we select two domestic commercial Twitter accounts and apply the sequential pattern evaluation index to the mining key phrase of the text data collected from the follower.

Control of Crowning Using Residual Stress induced by the Difference of Tehermal Expansion Between Ceramic and Carbon Steel in Ceramic Cam Follower (열팽창계수차에 기인된 잔류응력을 이용한 세라믹 캠 팔로우어의 크라우닝 제어)

  • Choe, Yeong-Min;Lee, Jae-Do;No, Gwang-Su
    • Korean Journal of Materials Research
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    • v.10 no.10
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    • pp.703-708
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    • 2000
  • As the engine design changes to get high efficiency and performance of commercial diesel engine, surface w wear of the earn follower becomes an important issue as applied load increasing at the contact face between cam follower and cam. We developed the ceramic cam follower made of sili$\infty$n nitride ceramic which was more wear resistant than the cast iron or sintered metal cam follower. Ceramic cam follower was made by direct brazing of thin ceramic disk to steel body using an active brazing alloy without the interlayer. In-situ crowning(R), resulted from the difference of thermal expansion coefficient between ceramic and carbon steel after direct brazing without any stress-relieving inter]ayer, could be controlled. When a earbon steel was heated above $A_{c1}$ point and then c$\infty$led, the expansion curve represented a hysteresis. Appropriate crowning was achieved below the $A_{c1}$ point(about $723^{\circ}C$) and crowning increased with brazing temperature exponentially above the $A_{c1}$ point. Optimum brazing temperature range was from 700 to $720^{\circ}C$. We developed successfully the ceramic cam follower having appropriate crowning and being inexpensive. Also we could successfully control the crowning of ceramic earn follower by hysteresis behavior of thermal expansion of earbon steel during direct brazing process.

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A Study on Ways to Increase the Effectiveness of Virtual Models as Influencers for the MZ Generation: Focusing on Medical Institutions (MZ세대에게 가상모델 인플루언서의 효과를 높일 수 있는 방안 연구:의료기관을 중심으로)

  • Heejung Lee;Myounga An
    • Journal of Service Research and Studies
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    • v.13 no.1
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    • pp.26-47
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    • 2023
  • In the age of digital media transformation, the rapid rise of social media has changed the paradigm of traditional marketing techniques by leveraging the influence of influencers. However, the influence of influencers cannot be freed from ethical issues that arise as individuals, so virtual influencers are emerging as a countermeasure. This study is a study on how to increase the influencer effect of virtual models with a focus on the MZ generation in medical service. This study investigated whether respondents in their 40s or younger were aware of 'Rosy', a virtual influencer, and then conducted a survey on those who recognized 'Rosy'. As a result of this study, first, both cognitive and emotional motivation had a positive influence on fanship and attractiveness for virtual influencer. In addition, it was found that there was a difference in follow motive according to gender. Second, in order to lead to the intention of visiting hospitals, which is the medical service industry, only the cognitive motives with useful and reliable information and useful information for the virtual influencer were found to be significant in intention to visit.

Analysis shoulder pain of tennis players and the movement of the scapula in flat serve (테니스 선수의 어깨 통증과 플랫서브 동작의 견갑골 움직임 분석)

  • Park, Jong-Chul;Cha, Jung-Hoon
    • Journal of the Korea Convergence Society
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    • v.11 no.6
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    • pp.393-400
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    • 2020
  • This study used a three-dimensional motion analysis system for 15 elite tennis players (male 8, female7) to identify the relevance of scapula movement to shoulder pain. During the flat serve, the angular velocity and joint moment of scapula anterior/posterior tilt, downward/upward rotation, internal/external rotation were calculated and this was compared between groups. As a result, the maximum angular velocity for the anterior and posterior tilt tended to be higher in control group(CG) than in the shoulder pain group(SPG), and the maximum angular velocity for internal and external rotation in all phases except the follow-through phase was higher than that of CG. The maximum moment for the anterior and posterior tilt in the late coking phase was statistically significantly higher than that of SPG, the joint moment for the downward and upward rotation of the coking phase was statistically significantly lower than that of CG, and the moment for the internal and external rotation, the SPG was found to be lower than that of CG in the whole phases.

Follower classification system based on the similarity of Twitter node information (트위터 사용자정보의 유사성을 기반으로 한 팔로어 분류시스템)

  • Kye, Yong-Sun;Yoon, Youngmi
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.1
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    • pp.111-118
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    • 2014
  • Current friend recommendation system on Twitter primarily recommends the most influential twitter. However, this way of recommendation has drawbacks where it does not recommend the users of which attributes of interests are similar to theirs. Since users want other users of which attributes are similar, this study implements follower recommendation system based on the similarity of twitter node informations. The data in this study is from SNAP(Stanford Network Analysis Platform), and it consists of twitter node information of which number of followers is over 10,000 and twitter link information. We used the SNAP data as a training data, and generated a classifier which recommends and predicts the relation between followers. We evaluated the classifier by 10-Fold Cross validation. Once two twitter node informations are given, our model can recommend the relationship of the two twitters as one of following such as: FoFo(Follower Follower), FoFr(Follower Friend), NC(Not Connected).

Twitter User Information based Users Similarity Ranking System (트위터 사용자 정보 기반의 유사성 순위 시스템)

  • Yang, Xi-tong;Kim, Jae-Yoon;Kumar, Sajan;Kim, Chang-Su;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.1051-1053
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    • 2015
  • Twitter is using Tweets to post 140 characters at a time to interact with different people around the world. In addition, Twitter will also provide speed, such as instant messaging by providing the follow feature. This was used for increasing the number of users because of the tweeter, a portion of the life was due to the popularity of smart phones. However, because of the large amount of data of the tweeter has a disadvantage similar to the user information or user information is not recommended. In this paper, in order to compensate for this problem to establish a ranking filter the similarity information based on a user's system, we propose that the user or the like similar to the user information. The system proposed in this paper consists of the collected data and modules to collect data using a user account in the filtering and the like to the tweeter module. These modules use the Open API and Mahout designed and implemented.

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