• 스마트미디어저널
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• 제1권4호
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• pp.8-17
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• 2012

본 논문에서는 모바일 기기에서 사용자 경험의 향상을 위해 다중 진동신호를 활용하는 연구로, 포항공과대학교 햅틱스 및 가상현실 연구실의 '다중 진동자를 사용한 촉각 흐름'과 '실시간 이중 채널 촉감 음악 재생기'의 연구 현황을 소개한다. '다중 진동자를 사용한 촉각 흐름'은 여러 개의 진동자를 사용하여 흐르는 듯한 진동을 생성함으로써 다수의 구분 가능한 진동 신호를 제공할 수 있으며 이를 통한 정보 전달력의 향상을 도모할 수 있다. '실시간 이중 채널 촉감 음악 재생기'는 음악적 신호를 진동 신호로 변환하여 제공함으로써 사용자들로 하여금 더 나은 경험을 제공할 수 있다. 이러한 사례들은 향후 예상되는 모바일 기기에서의 더 많은 정보 전달과 더 나은 사용자 경험에 대한 요구를 충족시키기 위한 좋은 예가 될 수 있을 것으로 기대된다.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.122-128
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• 2020

This research investigates how a Virtual Reality (VR)-based simulation could be used to train safe operation skills for forklift operators. Forklift operation is categorized as high-risk work by many occupational health and safety regulators and authorities due to high injury and fatality rates involved with forklifts. Therefore, many safety guidelines have been developed for forklift operators. Typically, forklift operation safety training is delivered based on instructional texts or videos, which have limitations in influencing people's safety behavior. Against this background, we propose a VR-based forklift simulator that can enable safe operation skills training through a feedback system. The training program consists of several modules to teach how to perform the basic tasks of forklift operation, such as driving, loading and unloading, following the safety guidelines. The system provides instantaneous instructions and feedback regarding safe operation. This training system is based on the model of "learning-by-doing". The user can repeat the training modules as many times as necessary before being able to perform the given task without violating any safety guidelines. The last training module tests the user's acquisition of all safety skills required. The user feedback from several demonstration sessions showed the potential usefulness of the proposed training system.

• 로봇학회논문지
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• 제8권3호
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• pp.143-149
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• 2013

This paper presents a new miniature haptic display to convey ample haptic information to a user of a handheld interface. There are buttons on interfaces or general electronic devices, but existing buttons provide haptic feedback of only one passive pattern to a user. Because humans perceive tactile and kinesthetic information simultaneously when they handle objects the proposed actuator provides both sensations at once. It is able to generate various levels of kinesthetic sensations when pressing a button under diverse situations. Also, vibrotactile feedback can be delivered for exciting haptic effects with numerous patterns. Its performance was evaluated in accordance with the resistive force by changing the intensity of the input current. Experiments show that the proposed actuator has the ability to provide numerous haptic sensations for more realistic and complex haptic experiences.

• 디지털융복합연구
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• 제19권8호
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• pp.225-234
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• 2021

팬데믹으로 인해 생활의 중심이 집으로 이동함에 따라 집을 다양한 활동에 최적화된 공간으로 만들어줄 수 있는 가정용 로봇의 개발이 활발하다. 이 연구는 로봇이 작업을 수행하는 상황에 따라 피드백을 하기 위한 접근 또는 회피 움직임이 사용자 경험에 미치는 효과를 확인하고자 하였다. 작업 수행 상황과 움직임 조건에 따라 6가지 시나리오를 구성하여, 각 조건에 따른 호감도, 인지된 지능, 친밀감, 부정적 태도, 행동 예측가능성을 측정하였다. 실험 결과, 작업 수행 상황에서는 인지된 지능과 친밀감, 행동 예측가능성에서 주효과가 나타났고, 움직임 조건에서는 호감도, 인지된 지능, 친밀감에서 주효과가 나타났다. 상호작용 효과는 호감도와 인지된 지능에서만 나타났다. 결론적으로 로봇의 움직임에도 접근-회피 경험을 적용할 수 있고, 회피에 따른 부정적 효과를 확인할 수 있었다.

• 대한전자공학회논문지TC
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• 제47권2호
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• pp.25-33
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• 2010

양자화된 채널 상태 정보를 이용하는 공간 분할 다중 접속 방식은 제한된 되먹임 정보로도 다중 송신의 이득을 가질 수 있다. 그러나 되먹임 정보의 양은 사용자에 따라 선형적으로 증가하기 때문에, 공간 분할 다중 접속 방식은 제한된 되먹임 방식을 사용하더라도 여전히 높은 신호처리 부담을 갖게 된다. 그러므로 본 논문에서는 대상이 되는 사용자 수를 효과적으로 제어할 수 있는 새로운 되먹임 방식을 제안한다. 제안하는 방식에서는 성능 열화 없이 되먹임 정보량을 줄이기 위해 되먹임 요청 기준 조건을 제시하고 이에 미치지 못하는 열악한 통신 환경의 사용자들을 제한한다. 본 논문의 모의 실험에서는 제안하는 방식이 전송 효율 이득을 높일 뿐만 아니라 되먹임 정보를 합리적으로 감소시킬 수 있음을 보여준다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권12호
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• pp.3149-3165
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• 2013

Content based image retrieval is increasingly gaining popularity among image repository systems as images are a big source of digital communication and information sharing. Identification of image content is done through feature extraction which is the key operation for a successful content based image retrieval system. In this paper content based image retrieval system has been developed by adopting a strategy of combining multiple features of shape, color and relevance feedback. Shape is served as a primary operation to identify images whereas color and relevance feedback have been used as supporting features to make the system more efficient and accurate. Shape features are estimated through second derivative, least square polynomial and shapes coding methods. Color is estimated through max-min mean of neighborhood intensities. A new technique has been introduced for relevance feedback without bothering the user.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권4호
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• pp.703-719
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• 2011

In multi-user wireless communication systems, adaptive modulation and scheduling are promising techniques for increasing the system throughput. However, a mass of wireless recourse will be occupied and spectrum efficiency will be decreased to feedback channel quality indication (CQI) of all users in every subcarrier or chunk for adaptive orthogonal frequency division multiplexing (OFDM) systems. Thus numerous limited feedback schemes are proposed to reduce the system overhead. The recently proposed compressive sensing (CS) theory provides a new framework to jointly measure and compress signals that allows less sampling and storage resources than traditional approaches based on Nyquist sampling. In this paper, we proposed two novel CQI feedback schemes based on general CS and subspace CS, respectively, both of which could be used in a wireless OFDM system. The feedback rate with subspace CS is greatly decreased by exploiting the subspace information of the underlying signal. Simulation results show the effectiveness of the proposed methods, with the same feedback rate, the throughputs with subspace CS outperform the discrete cosine transform (DCT) based method which is usually employed, and the throughputs with general CS outperform DCT when the feedback rate is larger than 0.13 bits/subcarrier.

• 한국통신학회논문지
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• 제33권7A호
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• pp.768-775
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• 2008

본 논문에서는 부분적 채널 피드백 정보를 이용하는 다중사용자 직교 주파수 분할다중화 시스템의 하향링크 전송성능을 고려한다. 특히, 두 종류의 부분적 채널 정보 궤환 방식을 고려하는데 첫째는 부반송파 당 1비트의 정보만을 이용하는 1비트(1bit per sub-carrier) 궤환 방법과 선택적으로 채널정보를 궤환하는 선택적 궤환(selective feedback) 방법을 비교 분석한다. 사용자당 주어진 피드백 비트 수에 대한 절대적인 비교 분석은 매우 어려우므로 대신에 각 방법에서의 설계 파라미터에 따른 성능 곡선을 분석함으로써 실제 시스템에의 적용에 필요한 정보를 제공하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권1호
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• pp.249-268
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• 2014

Relevance feedback is an effective tool to bridge the gap between superficial image contents and medically-relevant sense in content-based medical image retrieval. In this paper, we propose an interactive medical image search framework based on pairwise constraint propagation. The basic idea is to obtain pairwise constraints from user feedback and propagate them to the entire image set to reconstruct the similarity matrix, and then rank medical images on this new manifold. In contrast to most of the algorithms that only concern manifold structure, the proposed method integrates pairwise constraint information in a feedback procedure and resolves the small sample size and the asymmetrical training typically in relevance feedback. We also introduce a long-term feedback strategy for our retrieval tasks. Experiments on two medical image datasets indicate the proposed approach can significantly improve the performance of medical image retrieval. The experiments also indicate that the proposed approach outperforms previous relevance feedback models.

• 한국컴퓨터정보학회논문지
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• 제24권2호
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• pp.9-16
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• 2019

Computer-Assisted Pronunciation Training system is considered to be a useful tool for pronunciation learning for students who received elementary level English pronunciation education, especially for students who have difficulty in correcting their pronunciation in front of others or who are not able to receive face-to-face training. The conventional Computer-Assisted Pronunciation Training system shows the word to the user, the user pronounces the word, and then the system provides phoneme or audio feedback according to the pronunciation of the user. In this paper, we propose a Computer-Assisted Pronunciation Training system that can practice on the varying pronunciation according to positions of adjacent phonemes. To achieve this, the proposed system is implemented by recommending a series of words by focusing on adjacent phonemes for simplicity and clarity. Experimental results showed that word recommendation considering adjacent phonemes leads to improvement of pronunciation accuracy.