• Title/Summary/Keyword: cue

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A Perceptual Study on the Temporal Cues of English Intervocalic Plosives for Various Groups Depending on Background Language, English Listening Ability, and Age (언어별, 연령별, 수준별 집단에 의한 모음간 영어 파열음 유/무성 인지 연구)

  • Kang, Seok-Han
    • Speech Sciences
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    • v.13 no.2
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    • pp.133-145
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    • 2006
  • In order to understand the various groups' perceptual pattern in both VCV trochee and iambus, this study examined the identification correctness and cue robustness for the unit intervals in light of background language, age, and English listening ability. The 4 groups of Native Speakers of English, Korean College Students of High Listening Achievement, Korean College Students of Low Listening Achievement, and Korean Elementary Students took part in the experiments. Tokens of $/d{\ae}per,\;d{\ae}per,\;d{\ae}per,\;d{\ae}per,\;d{\ae}per,\;d{\ae}per$ in trochee and of $/{\eth}{\partial}\;p{\ae}d,\;{\eth}{\partial}\;b{\ae}d,\;{\eth}{\partial}\;t{\ae}d,\;{\eth}{\partial}\;d{\ae}d,\;{\eth}{\partial}\;k{\ae}d,\;{\eth}{\partial}\;g{\ae}d/$ in iambus were extracted and modified into experimental signals composed of two digits(voiced-1, voiceless-0) by following the temporal intervals, in which the signals consisted of preceding vowel, closure, VOT, and post-vowel. In the first experiment of identification correctness in VCV iambus environment, all groups showed almost 100% correctness rate, while in trochee environment all groups were different(native speaker 87%, college high 74%, college low 70%, elementary 65%). In the second experiment of cue robustness, all groups showed the similar perceptual pattern in both environments. There was the order of robustness cues in VCV trochee: pre-vowel ${\gg}$ closure ${\gg}$ VOT ${\gg}$ post-vowel, while the order in VCV iambus: VOT ${\gg}$ post-vowel ${\gg}$ closure ${\gg}$ pre-vowel. In some condition, however, we found moderately different perceptual pattern depending on language, age and listening level.

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Relationship between anticipatory postural adjustment of the trunk, dual tasks and physical performance with chronic stroke survivors: a pilot test

  • Hwang, Won Jeong;Cho, Min Kwon;Chung, Yijung
    • Physical Therapy Rehabilitation Science
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    • v.4 no.1
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    • pp.44-48
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    • 2015
  • Objective: The purpose of this study was to investigate the relationship between anticipatory postural adjustment (APA), single task, dual tasks and physical performances. The trunk muscles of APA consist of bilateral erector spinae (ES) and bilateral internal oblique (IO) adnominal muscles, during rapid stepping with the affected or unaffected leg in a sitting posture. Design: Cross-sectional study. Methods: In patients with chronic stroke, electrodes of surface electromyography (EMG) were attached on the bilateral erector spinae (ES), bilateral internal oblique adnominal (IO), and bilateral rectus femoris (RF) muscles. RF acts as the prime mover. The stroke patients performed hip flexion until $20^{\circ}$ as fast as possible at each leg in a sitting posture according to a visual cue. The visual cue unexpectedly appeared on monitor in front of the stroke patient. The single task was the Timed Up and Go (TUG) test. The dual tasks were the TUGconitive, which increased cognitive capacity, and the TUGmanual task, which had an external focus. Results: All EMG data showed earlier onset latency before the prime mover. In affected leg raising, the onset time of unaffected ES muscle of the stroke patients was correlated with the single and dual tasks (p<0.05). In unaffected leg raising, the onset time of the affected IO muscle was related to all the tasks (p<0.05). Gait speed showed a relationship with the unaffected ES muscle only. Conclusions: The trunk muscles of the bilateral ES and bilateral IO play an important role in APA. The single and dual tasks using TUG test were correlated with the APA s of ES and IO muscles. Dual task by the TUG test is a good measuring tool for reflecting the real life in patients with chronic stroke.

Studies on the acquisition of CONV and IOD according to the distance for long-distance 3D stereoscopic video shooting (원거리 3D 입체영상촬영을 위한 거리에 따른 IOD와 CONV의 획득에 관한 연구)

  • Kim, Hyun-jo;Kim, Min;Son, Kyung-Min;Kim, Kwan hyung;Byun, Gi-sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.919-921
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    • 2013
  • 영상시장의 개척과 디지털 기술의 발전과 더불어 차세대 3D 입체영상기술에 대한 관심과 수요가 증가하고 있다. 입체 정보는 크게 '단안 입체 정보(monoscopic depth cue)'와 '양안 입체 정보(stereoscopic depth cue)'로 분류 할 수 있다. 단안 입체 정보는 은폐, 상대적 크기, 상대적 밀도, 시야 안의 높이, 공기투시, 운동투시, 초점조절인 7가지로 경험에 의한 입체감을 지각하는 것을 말하며 양안 입체 정보는 두 눈으로 볼 때 처음으로 깊이를 지각 할 수 있는 것으로 크게 '동시시(simultaneous perception)', '융합(sensory fusion)', '입체시(stereoscopic vision)'의 세종류의 기능으로 분류한다. 3D 촬영은 이 양안시의 원리를 이용하여 두 대의 카메라의 좌우 영상을 합성하여 깊이감 있는 영상을 만들어 내게 된다. 본 논문에서는 3D 촬영방법은 촬영방식에 따라 크게 평행방식, 직교방식, 교차방식이 있는데 이중 중 원거리 촬영에 유리한 교차방식을 활용하여 사이드 바이 사이드 리그(Rig; 카메라를 수평으로 설치할 수 있도록 만들어진 장치)를 원거리 촬영에 맞게 축간거리를 기존의 리그 사이즈보다 2배 이상 긴 리그를 제작하여 보다 먼 거리에서의 상이한 좌우 영상획득이 가능하도록 설계하였다. 또한, 일정한 간격에 따라 피사체를 촬영하면서 거리에 따른 양 카메라의 가장 이상적인 IOD(Interocular Distance)와 CONV(Convergence)를 찾고, 교차방식촬영에 따른 특징적인 아티팩트인 키스톤 왜곡(Keystone distance)의 보정을 통한 원거리 입체영상을 효과적으로 획득하는데 본 연구방법을 제안하고자 한다.

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Constructing Tagged Corpus and Cue Word Patterns for Detecting Korean Hedge Sentences (한국어 Hedge 문장 인식을 위한 태깅 말뭉치 및 단서어구 패턴 구축)

  • Jeong, Ju-Seok;Kim, Jun-Hyeouk;Kim, Hae-Il;Oh, Sung-Ho;Kang, Sin-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.6
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    • pp.761-766
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    • 2011
  • A hedge is a linguistic device to express uncertainties. Hedges are used in a sentence when the writer is uncertain or has doubt about the contents of the sentence. Due to this uncertainty, sentences with hedges are considered to be non-factual. There are many applications which need to determine whether a sentence is factual or not. Detecting hedges has the advantage in information retrieval, and information extraction, and QnA systems, which make use of non-hedge sentences as target to get more accurate results. In this paper, we constructed Korean hedge corpus, and extracted generalized hedge cue-word patterns from the corpus, and then used them in detecting hedges. In our experiments, we achieved 78.6% in F1-measure.

Resource Allocation and Power Control for Device-to-Device Communication in LTE-Advanced Based on User Area Information (LTE-Advanced에서 단말간 직접 통신을 위한 영역 정보 기반 자원할당 및 전력 제어 기법)

  • Li, Xiang;Shin, Oh-Soon;Shin, Yoan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.1
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    • pp.32-42
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    • 2015
  • In this paper, we considered the scenario that one cellular link and muti-D2D links share the same frequency resource which can improve the spectrum efficiency during uplink communication in LTE (Long Term Evolution)-Advanced network. In order to reduce the interference caused to the D2D users, we set DME (Discovery and Management Entity) which can send the area information to eNB(evolved Node B). We proposed a resource allocation scheme by using these assistant devices to reduce the interference that CUE (Cellular User Equipment) causes to DUE Rx (D2D UE Receiver). Basing on the area information, in order to mitigate the interference among the D2D pairs which share the same frequency resource, a power control scheme has been proposed. The simulation results prove that by using the DMEs, the proposed schemes improve the stability of D2D communication and bring the highest performance of the communication system when comparing to the other different schemes.

A development of interactive manual system guideline for mobile service. (인터액티브 사용자 매뉴얼 가이드라인 개발에 관한 연구 - 모바일 서비스를 중심으로 -)

  • 이종호
    • Archives of design research
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    • v.15 no.3
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    • pp.29-38
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    • 2002
  • Recently, types of mobile services are ever-growing with technological advances, such as CDMA 2000, 256 Color LCD, 16 channel sound chip set and easy internet access. However, manual system that is supposed to support users for finding features and functions doesn't help users most of the cases since users are moving. Therefore, mobile sonics needs new concept for manual system that can support users while they are in use In this research report, new concept for interactive manual system is suggested. Then a guideline for interactive manual system is developed as a result from three empirical studies. First, ten information visualization methods used for describing functions are positioned on user's perception map. Secondly, user behavior pattern of getting required information from written manual was analyzed. Finally, visual cue system was selected as one of options for developing interactive manual system and a guideline was developed based on these research results.

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Human Fatigue Inferring using Bayesian Networks (베이지안 네트워크를 이용한 인간의 피로도 추론)

  • Park, Ho-Sik;Nam, Kee-Hwan;Han, Jun-Hee;Jung, Yeon-Gil;Lee, Young-Sik;Ra, Sang-Dong;Bae, Cheol-Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.1145-1148
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    • 2005
  • In this paper, we introduce a probabilistic model based on Bayesian networks (BNs) for inferring human fatigue by integrating information from various visual cues and certain relevant contextual information. Visual parameters, typically characterizing the cognitive states of a person including parameters related to eyelid movement, gaze, head movement, and facial expression, serve as the sensory observations. But, an individual visual cue or contextual Information does not provide enough information to determine human fatigue. Therefore in this paper, a Bayesian network model was developed to fuse as many as possible contextual and visual cue information for monitoring human fatigue. At the experiment results, display the utility of the proposed BNs for predicting and modeling fatigue.

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The Effect of the Consumption Monitoring Inaccuracy by Vision on Kimbab Intake and Satiety Rate (시각에 의한 식이 섭취 모니터링의 부정확성이 김밥 섭취량과 포만도에 미치는 영향)

  • Chang, Un-Jae;Jung, Eun-Young;Suh, Hyung-Joo;Kim, Jin-Man;Hong, In-Sun
    • Korean Journal of Community Nutrition
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    • v.13 no.2
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    • pp.237-243
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    • 2008
  • It was examined whether altering vision would influence food intake through consumption monitoring and whether this would be reflected in consumption estimate and satiety. The experiment was designed in two visibility levels: 1) an accurate visual cue (bowl covered with wrap) vs 2) a biased visual cue (bowl covered with foil). Thirty three female college students participated in this study. The subjects ate Kimbab in the lab once a week for 2 weeks. They were served 24 pieces of Kimbab in a bowl covered either with wrap or foil. The results showed that the actual Kimbab intake from the bowl covered with foil was significantly lower than the test using wrap ($13.4{\pm}3.3$ pieces vs $15.0{\pm}3.8$ pieces, p < 0.05). And there were no significant differences from the cognitive Kimbab intake between the tests with foil and wrap. However, the satiety rate of Kimbab in a bowl covered with foil was significantly higher than that with wrap at 1 hour and 2 hour after the Kimbab eaten (p < 0.05). Less consumed cases were recognized by subjects due to the inaccuracy during the consumption monitoring process. This result revealed that vision influences not only eating behavior but also subjective feelings of satiety after meal. In conclusion, the consumption monitoring by visual cues can play an important role in food intake and satiety rate.

Semantic Cue based Image Classification using Object Salient Point Modeling (객체 특징점 모델링을 이용한 시멘틱 단서 기반 영상 분류)

  • Park, Sang-Hyuk;Byun, Hye-Ran
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.1
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    • pp.85-89
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    • 2010
  • Most images are composed as union of the various objects which can describe meaning respectively. Unlike human perception, The general computer systems used for image processing analyze images based on low level features like color, texture and shape. The semantic gap between low level image features and the richness of user semantic knowledges can bring about unsatisfactory classification results from user expectation. In order to deal with this problem, we propose a semantic cue based image classification method using salient points from object of interest. Salient points are used to extract low level features from images and to link high level semantic concepts, and they represent distinct semantic information. The proposed algorithm can reduce semantic gap using salient points modeling which are used for image classification like human perception. and also it can improve classification accuracy of natural images according to their semantic concept relative to certain object information by using salient points. The experimental result shows both a high efficiency of the proposed methods and a good performance.

Resource Allocation for D2D Communication in Cellular Networks Based on Stochastic Geometry and Graph-coloring Theory

  • Xu, Fangmin;Zou, Pengkai;Wang, Haiquan;Cao, Haiyan;Fang, Xin;Hu, Zhirui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.12
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    • pp.4946-4960
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    • 2020
  • In a device-to-device (D2D) underlaid cellular network, there exist two types of co-channel interference. One type is inter-layer interference caused by spectrum reuse between D2D transmitters and cellular users (CUEs). Another type is intra-layer interference caused by spectrum sharing among D2D pairs. To mitigate the inter-layer interference, we first derive the interference limited area (ILA) to protect the coverage probability of cellular users by modeling D2D users' location as a Poisson point process, where a D2D transmitter is allowed to reuse the spectrum of the CUE only if the D2D transmitter is outside the ILA of the CUE. To coordinate the intra-layer interference, the spectrum sharing criterion of D2D pairs is derived based on the (signal-to-interference ratio) SIR requirement of D2D communication. Based on this criterion, D2D pairs are allowed to share the spectrum when one D2D pair is far from another sufficiently. Furthermore, to maximize the energy efficiency of the system, a resource allocation scheme is proposed according to weighted graph coloring theory and the proposed ILA restriction. Simulation results show that our proposed scheme provides significant performance gains over the conventional scheme and the random allocation scheme.