• Title/Summary/Keyword: Blind Technique

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Effects of Myofascial Release and Posture Correction Exercise on the Neck Movement and the Quality of Sleep in Patients with Chronic Tension-Type Headaches

  • Cho, Sunghak
    • Journal of International Academy of Physical Therapy Research
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    • v.10 no.4
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    • pp.1897-1902
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    • 2019
  • Background: Tension-type headaches, which make up the highest proportion of headaches, are prone to develop into chronic tension-type headaches (CTTH). The characteristic of CTTH in patients is that the active myofascial trigger point (ATrP) which causes pain in the muscles of the back of the head is increased, compared to the normal headache and moves the head position forward. Objective: The aim of this study was to investigate the effects of myofascial release (MFR) and posture correction in effectively improving neck function and sleep quality in the symptoms of CTTH patients. Design: Observer-blind study Methods: To reduce ATrP, MFR was applied and exercise was also applied to correct posture. The subjects of this study were 48 individuals randomly divided into three groups; The MFR group using the MFR technique; The MFR with exercise group subject to both the MFR technique and forward head position correction exercises (MFREx), and the control group. MFR and MFREx groups were given the relevant interventions twice a week for four consecutive weeks, and went through the number ATrPs, range of motion (ROM) of neck, Neck Disability Index (NDI) and the Pittsburgh Sleep Quality Index (PSQI) before and after the intervention. A physical therapist, who was fully familiar with the measuring methods of the equipment, was the measurer and not aware of the target's condition was blinded to take measurements only before and after intervention. Results: There was a significant improvement in the ATrP, Neck ROM, NDI and PSQI in the group of patients to whom the MFR technique and MFREx were applied. MFREx was more effective in increasing neck mobility. Conclusions: According to this study, the application of MFR is effective in improving neck movement and sleep quality in chronic tension headache patients.

Segaration of Corrupted Speech Signals using Canonical Correlation Analysis (정준 상관 분석을 이용한 잡음 섞인 음성 신호의 분리)

  • Kim, Seon-Il
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.164-167
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    • 2012
  • The technology which is used for segregating voices signals from exhaust noise signals of a car is very practical one to realize the interfaces between men and machines using voices. The voice signals contaminated by exhaust noise signal of a car was separated by canonical correlation ananysis(CCA) in an environment which does not guarantee the independence between signals and have prior informations. Rearrangement for the input signals is important in CCA. CCA was studied and segragation between source signals were performed by CCA through rearrangements of each of signals. It is possible to apply the technique to various signals since it is also possible to use CCA to the signals which are not independent.

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Incorporation of Fuzzy Theory with Heavyweight Ontology and Its Application on Vague Information Retrieval for Decision Making

  • Bukhari, Ahmad C.;Kim, Yong-Gi
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.11 no.3
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    • pp.171-177
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    • 2011
  • The decision making process is based on accurate and timely available information. To obtain precise information from the internet is becoming more difficult due to the continuous increase in vagueness and uncertainty from online information resources. This also poses a problem for blind people who desire the full use from online resources available to other users for decision making in their daily life. Ontology is considered as one of the emerging technology of knowledge representation and information sharing today. Fuzzy logic is a very popular technique of artificial intelligence which deals with imprecision and uncertainty. The classical ontology can deal ideally with crisp data but cannot give sufficient support to handle the imprecise data or information. In this paper, we incorporate fuzzy logic with heavyweight ontology to solve the imprecise information extraction problem from heterogeneous misty sources. Fuzzy ontology consists of fuzzy rules, fuzzy classes and their properties with axioms. We use Fuzzy OWL plug-in of Protege to model the fuzzy ontology. A prototype is developed which is based on OWL-2 (Web Ontology Language-2), PAL (Protege Axiom Language), and fuzzy logic in order to examine the effectiveness of the proposed system.

An Optimization Technique for Smart-Walk Systems Using Big Stream Log Data (Smart-Walk 시스템에서 스트림 빅데이터 분석을 통한 최적화 기법)

  • Cho, Wan-Sup;Yang, Kyung-Eun;Lee, Joong-Yeub
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.3
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    • pp.105-114
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    • 2012
  • Various RFID-based smart-walk systems have been developed for guiding disabled people. The system sends appropriate message whenever the disabled people arrived at a specific point. We propose universal design concept and optimization techniques for the smart-walk systems. Universal design concept can be adopted for supporting various kinds of disabled such as a blind person, a hearing-impaired person, or a foreigner in a system. It can be supported by storing appropriate messages set in the message database table depending on the kinds of the disabled. System optimization can be done by analyzing operational log(stream) data accumulated in the system. Useful information can be extracted by analyzing or mining the accumulated operational log data. We show various analysis results from the operational log data.

A Voice Annotation Browsing Technique in Digital Talking Book for Reading-disabled People (독서장애인을 위한 음성 도서 어노테이션 검색 기법)

  • Park, Joo Hyun;Lim, Soon-Bum;Lee, Jongwoo
    • Journal of Korea Multimedia Society
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    • v.16 no.4
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    • pp.510-519
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    • 2013
  • In this paper, we propose a voice-annotation browsing system that make the reading-disabled people to be able to find and play the existing voice-annotations. The proposed system consists of 4 steps: input, ranking & recommendation, search, and output. For the reading-disabled people depending only on the auditory sense, all steps can accept voice commands. To evaluate the effectiveness of our system, we design and implement an android-based mobile e-book application supporting the voice-annotation browsing ability. The implemented system is tested by a number of blind-folded users. As a result, we can see almost all the reading-disabled people can successfully and easily reach the existing voice-annotations they want to find.

A scalar MSDD with multiple antenna reception of Differential Space-Time π/2-Shifted BPSK Modulation

  • Kim Jae-Hyung;Hwang Seung-Wook;Kim Jung-Keun;Kim Yong-Jae
    • Journal of Navigation and Port Research
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    • v.30 no.2
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    • pp.167-172
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    • 2006
  • In this paper, the issue of blind detection of Alamouti-type differential space-time (ST) ${\pi}/2$-shifted BPSK modulation in static Rayleigh fading channels is considered. We introduce a novel transformation to the received signal from each receiver antenna such that this binary ST modulation, which has a second-order transmit-diversity, is equivalent to QPSK modulation with second-order receive-diversity. The pre-detection combining of the result of transformation allows us to apply a low complexity detection technique specifically designed for receive-diversity, namely, scalar multiple-symbol differential detection (MSDD). With receiver complexity proportional to the observation window length, our receiver can achieve the performance 1.5dB better than that of conventional differential detection ST and 0.5dB worse than that qf a coherent maximum ratio combining receiver (with differential decoding) approximately.

Performance Comparison of MISP-based MANET Strong DAD Protocol

  • Kim, Sang-Chul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.9
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    • pp.3449-3467
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    • 2015
  • A broadcast operation is the fundamental transmission technique in mobile ad-hoc networks (MANETs). Because a broadcast operation can cause a broadcast storm, only selected forwarding nodes have the right to rebroadcast a broadcast message among the one-hop and two-hop neighboring nodes of a sender. This paper proposes the maximum intersection self-pruning (MISP) algorithm to minimize broadcasting redundancy. Herein, an example is given to help describe the main concept of MISP and upper bounds of forward node have been derived based on induction. A simulation conducted demonstrated that when conventional blind flooding (BF), self-pruning (SP), an optimized link state routing (OLSR) multipoint relay (MPR) set, and dominant pruning (DP), are replaced with the MISP in executing Strong duplicate address detection (DAD), the performances in terms of the energy consumption, upper bounds of the number of forward nodes, and message complexity have been improved. In addition, to evaluate the performance in reference to the link error probability, Pe, an enhancement was achieved by computing a proposed retransmission limit, S, for error recovery based on this probability. Retransmission limit control is critical for efficient energy consumption of MANET nodes operating with limited portable energy where Strong DAD reacts differently to link errors based on the operational procedures.

Ultrasound-guided Lateral Femoral Cutaneous Nerve Block in Meralgia Paresthetica

  • Kim, Jeong-Eun;Lee, Sang-Gon;Kim, Eun-Ju;Min, Byung-Woo;Ban, Jong-Suk;Lee, Ji-Hyang
    • The Korean Journal of Pain
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    • v.24 no.2
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    • pp.115-118
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    • 2011
  • Meralgia paresthetica is a rarely encountered sensory mononeuropathy characterized by paresthesia, pain or sensory impairment along the distribution of the lateral femoral cutaneous nerve (LFCN) caused by entrapment or compression of the nerve as it crossed the anterior superior iliac spine and runs beneath the inguinal ligament. There is great variability regarding the area where the nerve pierces the inguinal ligament, which makes it difficult to perform blind anesthetic blocks. Ultrasound has developed into a powerful tool for the visualization of peripheral nerves including very small nerves such as accessory and sural nerves. The LFCN can be located successfully, and local anesthetic solution distribution around the nerve can be observed with ultrasound guidance. Our successfully performed ultrasound-guided blockade of the LFCN in meralgia paresthetica suggests that this technique is a safe way to increase the success rate.

Detecting Copy-move Forgeries in Images Based on DCT and Main Transfer Vectors

  • Zhang, Zhi;Wang, Dongyan;Wang, Chengyou;Zhou, Xiao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.9
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    • pp.4567-4587
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    • 2017
  • With the growth of the Internet and the extensive applications of image editing software, it has become easier to manipulate digital images without leaving obvious traces. Copy-move is one of the most common techniques for image forgery. Image blind forensics is an effective technique for detecting tampered images. This paper proposes an improved copy-move forgery detection method based on the discrete cosine transform (DCT). The quantized DCT coefficients, which are feature representations of image blocks, are truncated using a truncation factor to reduce the feature dimensions. A method for judging whether two image blocks are similar is proposed to improve the accuracy of similarity judgments. The main transfer vectors whose frequencies exceed a threshold are found to locate the copied and pasted regions in forged images. Several experiments are conducted to test the practicability of the proposed algorithm using images from copy-move databases and to evaluate its robustness against post-processing methods such as additive white Gaussian noise (AWGN), Gaussian blurring, and JPEG compression. The results of experiments show that the proposed scheme effectively detects both copied region and pasted region of forged images and that it is robust to the post-processing methods mentioned above.

Manhole Cover Detection from Natural Scene Based on Imaging Environment Perception

  • Liu, Haoting;Yan, Beibei;Wang, Wei;Li, Xin;Guo, Zhenhui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.10
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    • pp.5095-5111
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    • 2019
  • A multi-rotor Unmanned Aerial Vehicle (UAV) system is developed to solve the manhole cover detection problem for the infrastructure maintenance in the suburbs of big city. The visible light sensor is employed to collect the ground image data and a series of image processing and machine learning methods are used to detect the manhole cover. First, the image enhancement technique is employed to improve the imaging effect of visible light camera. An imaging environment perception method is used to increase the computation robustness: the blind Image Quality Evaluation Metrics (IQEMs) are used to percept the imaging environment and select the images which have a high imaging definition for the following computation. Because of its excellent processing effect the adaptive Multiple Scale Retinex (MSR) is used to enhance the imaging quality. Second, the Single Shot multi-box Detector (SSD) method is utilized to identify the manhole cover for its stable processing effect. Third, the spatial coordinate of manhole cover is also estimated from the ground image. The practical applications have verified the outdoor environment adaptability of proposed algorithm and the target detection correctness of proposed system. The detection accuracy can reach 99% and the positioning accuracy is about 0.7 meters.