• Imaging Science in Dentistry
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• v.32 no.2
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• pp.81-87
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• 2002

Purpose : To investigate the diagnostic significance of cortical changes in the bone of diseased jaws utilizing computed tomography (CT). Materials and Methods: Computed tomographic images of 91 patients, consisting of 7 osteomyelitis, 46 cysts, 18 benign tumors, and 20 malignant tumors, were analyzed. The pattern of cortical expansion was classified into three types: no expansion (N), buccal or lingual expansion (B/L), and buccolingual expansion (B & L). The pattern of cortical destruction was classified into four types: no destruction (N), point destruction (PO), gross destruction (GR), and permeative destruction (PE). The pattern of periosteal reaction was classified into four types: parallel, irregular, spicule, and Codmans triangle. The relationship between the pattern of cortical bone changes and diseases of the jaws was assessed. Results: When the pattern of cortical expansion was compared to diseases of the jaw, N-type was most prevalent in cases of osteomyelitis and malignant tumors, B/L-type with cysts, and B&L-types with benign tumors. Comparison between the pattern of cortical bone destruction with diseases of the jaw showed strong correlations between PO and PE-types to osteomyelitis, N-type with cysts, N and GR-types with benign tumors, and GR-type with malignant tumors. Finally, the relationship between the pattern of periosteal reaction to diseases of the jaw showed a strong correlation between parallel-type to osteomyelitis and spicule-type to malignant tumors. Conclusion : The pattern of cortical expansion and cortical destruction is useful in differentiating diseases of the jaws.

• The Research Journal of the Costume Culture
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• v.26 no.3
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• pp.360-376
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• 2018

The purpose of this study was to make a pants pattern suitable for women 70 to 85 years of age, then analyze that- pattern's shape, size, appearance, fit, allowance and air gap. Participants made the pattern using 3D simulation program DC Suite version 5.1. The results suggest a design method suitable for the lower-body shapes of elderly women. In external appearance, the A-type earned the highest evaluation in all items except the allowance of the back waist and back hip. The L type earned the highest evaluation in the allowance of back waist and hips. The A-type's, back waist appeared set at an angle that did not match the body shape of an old-old aged woman in the center-back-line setting. Therefore, the pattern method of A-type combined with L-type's method of center back, produces an excellent pants pattern. Evaluation of the air gaps among patterns revealed that; the A-type showed the largest air gap in waist and hip circumference and the smallest air gap in thigh circumference. The waists, abdomen, and hip circumferences of older women often become larger while their legs become slimmer. This study accounted for those factors in determining a pattern suitable for the lower-body shape of old-old aged women. However, participants only analyzed four patterns and compared them with women 70 to 85, years of age. Therefore, it is necessary to develop industrial patterns applicable to a wide age group.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.05a
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• pp.127-128
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• 2012

• 한국생활과학회:학술대회논문집
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• 2010.05a
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• pp.143-144
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• 2010

• Proceedings of the KWS Conference
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• 2005.06a
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• pp.305-307
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• 2005

• Proceedings of the Zoological Society Korea Conference
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• 1997.10b
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• pp.198.2-198
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• 1997

No Abstract, See Full Text

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.1009-1010
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• 2010

• Journal of Korea Multimedia Society
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• v.9 no.9
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• pp.1118-1130
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• 2006

Existed pattern analysis algorithms in data streams environment have researched performance improvement and effective memory usage. But when new data streams come, existed pattern analysis algorithms have to analyze patterns again and have to generate pattern tree again. This approach needs many calculations in real situation that needs real time pattern analysis. This paper proposes a method that continuously analyzes patterns of incoming data streams in real time. This method analyzes patterns fast, and thereafter obtains real time patterns by updating previously analyzed patterns. The incoming data streams are divided into several sequences based on time based window. Informations of the sequences are inputted into a hash table. When the number of the sequences are over predefined bound, patterns are analyzed from the hash table. The patterns form a pattern tree, and later created new patterns update the pattern tree. In this way, real time patterns are always maintained in the pattern tree. During pattern analysis, suffixes of both new pattern and existed pattern in the tree can be same. Then a pointer is created from the new pattern to the existed pattern. This method reduce calculation time during duplicated pattern analysis. And old patterns in the tree are deleted easily by FIFO method. The advantage of our algorithm is proved by performance comparison with existed method, MILE, in a condition that pattern is changed continuously. And we look around performance variation by changing several variable in the algorithm.

• Nuclear Engineering and Technology
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• v.55 no.9
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• pp.3359-3366
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• 2023

In this study, a spiking cortical model (SCM) based n-g discrimination method is proposed. The SCM-based algorithm is compared with three other methods, namely: (i) the pulse-coupled neural network (PCNN), (ii) the charge comparison, and (iii) the zero-crossing. The objective evaluation criteria used for the comparison are the FoM-value and the time consumption of discrimination. Experimental results demonstrated that our proposed method outperforms the other methods significantly with the highest FoM-value. Specifically, the proposed method exhibits a 34.81% improvement compared with the PCNN, a 50.29% improvement compared with the charge comparison, and a 110.02% improvement compared with the zero-crossing. Additionally, the proposed method features the second-fastest discrimination time, where it is 75.67% faster than the PCNN, 70.65% faster than the charge comparison and 38.4% slower than the zero-crossing. Our study also discusses the role and change pattern of each parameter of the SCM to guide the selection process. It concludes that the SCM's outstanding ability to recognize the dynamic information in the pulse signal, improved accuracy when compared to the PCNN, and better computational complexity enables the SCM to exhibit excellent n-γ discrimination performance while consuming less time.

• The Journal of Korean Physical Therapy
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• v.25 no.6
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• pp.374-378
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• 2013

Purpose: Human body have biological rhythmic pattern in a day, which is affected by internal and external environmental factors. We investigated whether respiratory function was fluctuated according to the influence of time-of-day (around at 9 am, 1 pm, and 6 pm) in health subjects, using pulmonary function test (PFT). Methods: Eighteen healthy volunteers (8 men, mean ages; $22.4{\pm}1.6$, mean heights; $166.61{\pm}9.60$, mean weight; $59.3{\pm}10.3$) were recruited. Pulmonary function test (PFT) was measured at three time points in day, around 9 am, 1 pm, and 6 pm in calm research room with condition of under 55dB noise level, using a spirometer (Vmax 229, SensorMecis, USA). Forced vital capacity (FVC), forced expiratory volume at one second (FEV1), FVC/FEV1, and peak expiratory flow (PEF) were acquired. Results: In comparison of raw value of PFT among three time points, subjects showed generally better respiratory function at 9 am, than at other points, although no significance was found. In comparison of distribution of ranking for respiratory function in each individual, only PEF showed significant difference. In general, distributional ratio of subjects who showed best performance of respiratory function in a day was high. Conclusion: These findings showed that circadian rhythm by diurnal pattern was not detected on respiratory function throughout all day. But, best performance on respiratory function was observed mostly in the morning, although statistical significance did not exist.