• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.11
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• pp.137-145
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• 2014

This paper suggests an LDA-based long distance face recognition algorithm for intelligent surveillance system. The existing face recognition algorithm using single distance face image as training images caused a problem that face recognition rate is decreased with increasing distance. The face recognition algorithm using face images by actual distance as training images showed good performance. However, this also causes user inconvenience as it requires the user to move one to five meters in person to acquire face images for initial user registration. In this paper, proposed method is used for training images by using single distance face image to automatically create face images by various distances. The test result showed that the proposed face recognition technique generated better performance by average 16.3% in short distance and 18.0% in long distance than the technique using the existing single distance face image as training. When it was compared with the technique that used face images by distance as training, the performance fell 4.3% on average at a close distance and remained the same at a long distance.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.6
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• pp.1139-1145
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• 2014

User recognition technology, which identifies or verifies a certain individual is absolutely essential under robotic environments for intelligent services. The conventional face recognition algorithm using single distance face image as training images has a problem that face recognition rate decreases as distance increases. The face recognition algorithm using face images by actual distance as training images shows good performance but this has a problem that it requires user cooperation. This paper proposes the LDA-based long distance face recognition method which uses multiple distance face images from a zoom camera for training face images. The proposed face recognition technique generated better performance by average 7.8% than the technique using the existing single distance face image as training. Compared with the technique that used face images by distance as training, the performance fell average 8.0%. However, the proposed method has a strength that it spends less time and requires less cooperation to users when taking face images.

• Journal of the Korean Society of Marine Environment & Safety
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• v.16 no.2
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• pp.195-200
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• 2010

Basing on the recommendation and guideline of IALA, Korean VTS authority made an instruction about the training and qualification of VTS operators, and three model courses for training have been performed at a training institute which has one VTS simulator. However, the simulator has not been enough to make training fully satisfactory because of several signs of limitations including inaccurate method for calculating ship's movement and inconvenient location for training. In this paper, a new simulator was proposed to make up for the weak points replacing the current simulator. The proposed simulator adopts mathematical model for calculating exactly ship's movement which heightens the effect of training with simulator. And also it can be used through Internet so as to make long-distance training possible without visiting the training center. The effectiveness and the convenience of training with the proposed simulator are expected to be improved.

• PNF and Movement
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• v.17 no.2
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• pp.177-187
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• 2019

Purpose: The purpose of this study was to investigate the effects of combined training on the physical fitness of male short distance athletes. Methods: Combined training was applied with CLT and isokinetric training three times a week for eight weeks. For CLT, elastic bands were used in the sitting and standing positions to gradually increase sprint and skating movements. Isokinetic training was conducted at $60^{\circ}/sec$ and $180^{\circ}/sec$ to improve muscle strength and muscle power. Results: After the application of combined training, strength (hand force) improved from 42.25 kg to 47.30 kg. Muscle power for standing long jump improved from 240.00 cm to 248.80 cm, while the sergeant jump improved from 55.00 cm to 58.00 cm. Isokinetic testing showed that muscle strength ($60^{\circ}/sec$) improved from 315.65 %BW to 365.79 %BW for the left extensor and from 306.60 %BW to 325.00 %BW for the right extensor. The left flexor improved from 177.23 %BW to 189.47 %BW, but the right flexor decreased slightly from 210.87 %BW to 201.53 %BW. Muscle power ($180^{\circ}/sec$) improved from 254.00 %BW to 293.00 %BW for the left extensor and from 256.00 %BW to 272.00 %BW for the right extensor. The left flexor improved from 150.00 %BW to 162.00 %BW and the right flexor from 145.25 %BW to 182.00 %BW. Conclusion: Combined training could be used as a physical training program for male short distance athletes.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.4
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• pp.737-742
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• 2013

The surveillance system has been developed to be intelligent which can judge and cope by itself using human recognition technique. The existing face recognition is excellent at a short distance but recognition rate is reduced at a long distance. In this paper, we analyze the performance of face recognition according to interpolation and face recognition algorithm in face recognition using the multiple distance face images to training. we use the nearest neighbor, bilinear, bicubic, Lanczos3 interpolations to interpolate face image and PCA and LDA to face recognition. The experimental results show that LDA-based face recognition with bilinear interpolation provides performance in face recognition.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.3
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• pp.250-255
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• 2012

Face recognition has wide applications in security and surveillance systems as well as in robot vision and machine interfaces. Conventional challenges in face recognition include pose, illumination, and expression, and face recognition at a distance involves additional challenges because long-distance images are often degraded due to poor focusing and motion blurring. This study investigates the effectiveness of applying photon-counting linear discriminant analysis (Pc-LDA) to face recognition in harsh environments. A related technique, Fisher linear discriminant analysis, has been found to be optimal, but it often suffers from the singularity problem because the number of available training images is generally much smaller than the number of pixels. Pc-LDA, on the other hand, realizes the Fisher criterion in high-dimensional space without any dimensionality reduction. Therefore, it provides more invariant solutions to image recognition under distortion and degradation. Two decision rules are employed: one is based on Euclidean distance; the other, on normalized correlation. In the experiments, the asymptotic equivalence of the photon-counting method to the Fisher method is verified with simulated data. Degraded facial images are employed to demonstrate the robustness of the photon-counting classifier in harsh environments. Four types of blurring point spread functions are applied to the test images in order to simulate long-distance acquisition. The results are compared with those of conventional Eigen face and Fisher face methods. The results indicate that Pc-LDA is better than conventional facial recognition techniques.

• MALSORI
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• no.58
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• pp.83-99
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• 2006

One key factor that hinders the widespread deployment of speaker identification technologies is the requirement of long enrollment utterances to guarantee low error rate during identification. To gain user acceptance of speaker identification technologies, adaptation algorithms that can enroll speakers with short utterances are highly essential. To this end, this paper applies MLLR speaker adaptation for speaker enrollment and compares its performance against other speaker modeling techniques: GMMs and HMM. Also, to speed up the computational procedure of identification, we apply speaker clustering method which uses principal component analysis (PCA) and weighted Euclidean distance as distance measurement. Experimental results show that MLLR adapted modeling method is most effective for short enrollment utterances and that the GMMs performs better when long utterances are available.

• Korean Journal of Geomatics
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• v.5 no.1
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• pp.27-34
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• 2005

Unsupervised classification is an important area of research in image processing because supervised classification has the disadvantages such as long task-training time and high cost and low objectivity in training information. This paper focuses on unsupervised classification, which can extract ground object information with the minimum 'Spectral Angle Distance' operation on be behalf of 'Spectral Euclidian Distance' in the clustering process. Unlike previous studies, our algorithm uses the unit vector, not the spectral distance, to compute the cluster mean, and the Single-Pass algorithm automatically determines the seed points. Atmospheric correction for more accurate results was adapted on the Hyperion data and the results were analyzed. We applied the algorithm to the Hyperion and ETM+ data and compared the results with K-Means and the former USAM algorithm. From the result, USAM classified the water and dark forest area well and gave more accurate results than K-Means, so we believe that the 'Spectral Angle' can be one of the most accurate classifiers of not only multispectral images but hyperspectral images. And also the unit vector can be an efficient technique for characterizing the Remote Sensing data.

• Journal of Korean Clinical Health Science
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• v.1 no.1
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• pp.91-98
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• 2013

Purpose: The purpose is to study the effects of the vision training, as a non-surgically treated vision therapy, on the objective and the subjective symptoms of the patients with intermittent exotropia combined with vertical deviation. Method: For the boys at the age of eight with intermittent exotropia, who report a long-distance blurred vision, dazzling, and intermittent diplopia more than ten times a day, the vision training had been practiced for seven weeks. The objective and subjective symptoms have been examined after six months from the end of the training. Results: The objective and the subjective symptoms have been improved after the seven weeks training and the improvements lasted after six months from the end of the treatment. Conclusion: Non-surgical treatment for the patients with intermittent exotropia, including intermittent exotropia combined with vertical deviation like this case, should be considered as an auxiliary treatment and on the preferential basis.

• Journal of Navigation and Port Research
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• v.47 no.4
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• pp.191-201
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• 2023

The provision of onboard Internet services is recognized as one of the measures to enhance the appeal of seafarers and improve seafarer welfare. This study aims to investigate the influence of seafarers' leisure activities using the Internet on shipboard culture. Shipboard culture was examined using Hofstede's cultural dimensions theory. An empirical analysis was conducted on crewmembers regarding their Internet-based leisure activities and the shipboard culture. As a result, it was observed that sociability activities through the Internet while onboard significantly influenced power distance, uncertainty avoidance, and long-term orientation. The investigation of shipboard culture revealed uncertainty avoidance, masculinity, and long-term orientation, along with low power distance and individualism cultures. In addition, an analysis of shipboard culture according to seafarers' characteristics showed significant differences in certain shipboard cultures based on seafarers' attributes.