• Journal of the Korean Institute of Telematics and Electronics
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• v.12 no.3
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• pp.30-36
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• 1975

Distortions are analyzed and compared for two TDM channel expansion methods- periodic sample skipping and sampling frequency reduction. Signal is assumed to be stationary random signal with zero.mean. Channel noise and interference are not considered in the analysis. For speech signal, it is shown that the periodic sample skipping method could be a better choice under practical design constraints.

• Journal of The Institute of Information and Telecommunication Facilities Engineering
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• v.10 no.2
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• pp.53-61
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• 2011

This research presents an adaptive fast motion estimation (ME) computation on the stage of uneven multi-hexagon grid search (UMHGS) algorithm included in an unsymmetrical-cross multi-hexagon-grid search (UMHexagonS) in H.264 standard. The proposed adaptive method is based on statistical analysis and previously obtained motion vectors to reduce the computational complexity of ME. For this purpose, the algorithm is decomposed into three processes: skipping, terminating, and reducing search areas. Skipping and terminating are determined by the statistical analysis of the collected minimum SAD (sum of absolute difference) and the search area is constrained by the slope of previously obtained motion vectors. Simulation results show that 13%-23% of ME time can be reduced compared with UMHexagonS, while still maintaining a reasonable PSNR (peak signal-to-noise ratio) and average bitrates.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.5
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• pp.417-425
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• 2003

H.264, which is the latest video coding standard of both ITU-T(International Telecommunication Union-Telecommunication standardization sector) and MPEG(Moving Picture Experts Group), adopts new video coding tools such as variable block size motion estimation, multiple reference frames, quarter-pel motion estimation/compensation(ME/MC), 4${\times}$4 Integer DCT(Discrete Cosine Transform), and Rate-Distortion Optimization, etc. These new video coding tools provide good coding of efficiency compared with existing video coding standards as H.263, MPEG-4, etc. However, these new coding tools require the increase of encoder complexity. Therefore, in order to apply H.264 to many real applications, fast algorithms are required for H.264 coding tools. In this paper, when encoder MacroBlock(MB) mode is decided by rate-distortion optimization tool, fast mode decision algorithm by skipping variable block size ME/MC and spatial-predictive coding, which occupies most encoder complexity, is proposed. In terms of computational complexity, the proposed method runs about 4 times as far as JM(Joint Model) 42 encoder of H.264, while the PSNR(peak signal-to-noise ratio)s of the decoded images are maintained.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.95-104
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• 2009

This paper proposes the noise robust algorithm to detect the starting point of music. Detection of starting point of music is necessary to solve computational-waste problem and retrieval-comparison problem with inconsistent input data in music content based retrieval system. In particular, such detection is even more necessary in time sequential retrieval method that compares data in the sequential order of time in contents based music retrieval system. Whereas it has the long point that the retrieval is fast since it executes simple comparison in the order of time, time sequential retrieval method has the short point that data starting time to be compared should be the same. However, digitalized music cannot guarantee the equity of starting time by bit rate conversion. Therefore, this paper ensured that recognition rate shall not decrease even while executing high speed retrieval by applying time sequential retrieval method through detection of music starting point in the pre-processing stage of retrieval. Starting point detection used minimum wave model that can detect effective sound, and for strength against noise, the noises existing in mute sound were swapped. The proposed algorithm was confirmed to produce about 38% more excellent performance than the results to which starting point detection was not applied, and was verified for the strength against noise.

• Journal of Fisheries and Marine Sciences Education
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• v.17 no.1
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• pp.35-47
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• 2005

The purpose of this study is to investigate various kinds of discipline problems in middle school classrooms, and the differences in severity and frequency of the classroom discipline problems between male and female students' classrooms in middle schools. This study shows that the discipline problems in the middle school classrooms include using a cellular phone, chattering, sleeping, chewing gum, reading comic books, asking useless questions, challenging a teacher, fighting, calling names, skipping class, throwing trash in the classroom, breaking classroom equipment, creating disorder, losing materials, playing with a ball in the classroom, gambling, and so on. Generally, male students recognized the severity of the classroom discipline problems more than the female students. However, it is shown that the frequency of discipline problems in male students' classrooms is higher than that in female students' classrooms. From the results of this study, male students have more active discipline problems (playing with a ball in the classroom, throwing trash in the classroom, coming to class late, gambling, cutting in line, and so on). On the other hand, female students have more passive discipline problems (making a noise by using a cellular phone, asking useless questions, sending messages to a classmate, studying other subjects, scattering, and so on).

• Journal of the East Asian Society of Dietary Life
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• v.13 no.5
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• pp.362-370
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• 2003

This study was conducted to investigate the dietary behavior and utilization of university foodservice in Incheon area. Self administered questionnaires were collected from 305 students. Statistical data analysis was completed using a SPSS v. 10.0 program. The results are summarized as follows: Most students had poor dietary behavior, such as skipping meals. Only 21.4% of male students and 30% of female students responded to have breakfast regularly. About 60% of students were utilizing for lunch at the university foodservice and 3.9% of them for dinner, which mainly caused by the reasons “low price”, “time saving”, “near place”. In particular, only 21% of students used the university foodservice daily. More than 80% of students responded to have lunch at restaurants around campus when they did not have meals at the university foodservice. Reasons for not utilizing the university foodservice were responed as simple menus and tasteless, etc. Recommendations for the improvements of the university foodservice can be summarized as menu variation, emphasis on taste, reducing of noise, expending opening time, reducing waiting time, sanitation, change of old utensils and comfortable atmosphere of dining hall.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.9
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• pp.129-138
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• 2014

Various interpolations for digital imaging devices with a single image sensor have proposed. However, conventional methods did not consider the resolution modus of image sensor using periodic sampling. Therefore, the resulting images have problems such as quality degradation and color artifacts(color moire, zipper). In this paper, we propose a color interpolation algorithm for pixel resolution modus of image sensor. The proposed algorithm consisted of an initial step to compensate edge prediction effectively and refinement step using minimum directions for pixel resolution modus. To analyze a result of the proposed algorithm with conventional methods, we evaluated subjectively using images quality comparison and objectively using PSNR(Peak Signal to Noise Ratio). Experimental results showed that the proposed algorithm was more successful in eliminating the color artifacts than conventional methods judged by both objective and subjective criteria.