• Journal of Oral Medicine and Pain
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• v.21 no.2
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• pp.305-315
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• 1996

This study was performed to investigate the changes of head posture according to natural standing or sitting posture. Twenty seven healthy dental students without any signs and symptoms of temporomandibular disorders participated in this study. Cervical resting posture (CRP) of the head in sagittal plane was measured by Cervical-Range-of-Motion $^\textregistered$(CROM, U.S.A.) and lateral cephalograph was taken in natural posture. The items related to angle in cephalograph were the angles of cranial and cervical inclination to true vertical line(VER/NSL, VER/AML), the angles of cervical inclination to nasion-sella line(CVT/NSL, OPT/NSL), the angles of comical inclination to horizontal line(CVT/HOR, OPT/HOR), the angle of cervical lordosis(CVT/OPT). The items related to line measurement were the distance from subocciput to Cl(Dl), Cl to C2(D2), C2 to C3(D3), C3 to C4(D4), the upper(PNS to posterior pharyngeal wall) and the lower(tongue base to posterior pharyngeal wall) pharyngeal space, the distance from nation to mention(Na-Me), and the radius of comical curvature from the first comical vertebra(Cl ) to the fifth cervical vertebra(C5). The data were analyzed with SAS/STAT program. The obtained results were as follows : 1. Most items related to angular measurement showed significant difference between in standing and sitting posture. The angles of CRP, CVT/NSL, OPT/NSL, CVT/HOR, OPT/HOR, and CVT/OPT were high in sitting posture, but the angles of VER/NSL, VER/NSL were low in sitting posture. 2. In vertebral distance, only the distance between C3 and C4 was differed by the posture, which decreased in sitting posture. In sitting posture, the distance from nasion to menton(Na-Me) was longer, but the radius was shorter than in standing posture. 3. Correlationship in angular measurements was almost same in both postures. Ceervical resting posture(CRP) was correlated with VER/NSL, VER\ulcornerNSL was correlated with CRP, CVT/NSL, and OPT/NSL, VER/AML was correlated with CVT/HOR, OPT/HOR, CVT/OPT, and the angle of cervical lordosis(CVT/OPT) was correlated with the radius. 4. Correlationship in linear measurement was observed only in among D3, D4, and radius. And the Na-Me was not correlated with any other items. From this results, The author concluded that the head posture in sitting was mote backward extended than in standing.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.211-213
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• 2017

최근 컴퓨터 네트워크를 활용하는 다양한 기기들이 개발되고 급격히 확산되면서, 컴퓨터 네크워크는 전보다 많은 보안문제에 직면하게 되었다. 이에 따라 네트워크 보안을 위한 침입탐지시스템의 필요성이 대두된다. 침입탐지시스템을 구현하기 위한 대표적인 데이터 셋으로는 KDD CUP 99(KDD'99)와 이후 KDD'99의 문제점을 보완하여 공개된 NSL-KDD가 있다. 본 논문에서는 KDD'99와 NSL-KDD를 소개하고 인공신경망을 통해 두 데이터 셋을 비교 분석하였다. Multi-Layer Perceptron을 사용해 데이터 셋을 분석해본 결과, KDD'99는 전체 정확도에서 더 높은 결과를 얻은 반면 공격 별 탐지 정확도 면에서는 NSL-KDD에 뒤쳐졌다.

• Journal of the Korean Society for Precision Engineering
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• v.23 no.3 s.180
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• pp.156-162
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• 2006

Direct fabrication of nano patterns has been studied employing a nano-stereolithography (NSL) process. The needs of nano patterning techniques have been intensively increased for diverse applications for nano/micro-devices; micro-fluidic channels, micro-molds. and other novel micro-objects. For fabrication of high-aspect-ratio (HAR) patterns, a thick spin coating of SU-8 process is generally used in the conventional photolithography, however, additional processes such as pre- and post-baking processes and expansive precise photomasks are inevitably required. In this work, direct fabrication of HAR patterns with a high spatial resolution is tried employing two-photon polymerization in the NSL process. The precision and aspect ratio of patterns can be controlled using process parameters of laser power, exposure time, and numerical aperture of objective lens. It is also feasible to control the aspect ratio of patterns by truncation amounts of patterns, and a layer-by-layer piling up technique is attempted to achieve HAR patterns. Through the fabrication of several patterns using the NSL process, the possibility of effective patterning technique fer various N/MEMS applications has been demonstrated.

• The Korean Journal of Applied Statistics
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• v.35 no.3
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• pp.335-346
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• 2022

Profile control chart aims to detect a change in the functional relationship of multivariate characteristics in the statistical process control. In monitoring two variables, a linear profile is of interest composed of the intercept and slope of one variable (response variable) against the other (explanatory variable). The previous studies on monitoring of the linear profile mostly assume that the explanatory variables are the same for all profiles. However, there are also cases where they vary depending on profiles. This paper intends to extend the monitoring method to where explanatory variables are different for each profile. We compare the new method's performance through simulation and apply it to monitoring a network intrusion using NSL-KDD data.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.924-935
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• 2023

Purpose: The central aim of this study is to leverage machine learning techniques for the classification of Intrusion Detection System (IDS) data, with a specific focus on identifying the variables responsible for enhancing overall performance. Method: First, we classified 'R2L(Remote to Local)' and 'U2R (User to Root)' attacks in the NSL-KDD dataset, which are difficult to detect due to class imbalance, using seven machine learning models, including Logistic Regression (LR) and K-Nearest Neighbor (KNN). Next, we use the SHapley Additive exPlanation (SHAP) for two classification models that showed high performance, Random Forest (RF) and Light Gradient-Boosting Machine (LGBM), to check the importance of variables that affect classification for each model. Result: In the case of RF, the 'service' variable and in the case of LGBM, the 'dst_host_srv_count' variable were confirmed to be the most important variables. These pivotal variables serve as key factors capable of enhancing performance in the context of classification for each respective model. Conclusion: In conclusion, this paper successfully identifies the optimal models, RF and LGBM, for classifying 'R2L' and 'U2R' attacks, while elucidating the crucial variables associated with each selected model.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.4
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• pp.795-805
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• 2019

Recently, there is a growing interest in network anomaly detection technology to tackle unknown attacks. For this purpose, diverse studies using data mining, machine learning, and deep learning have been applied to detect network anomalies. In this paper, we evaluate the decision tree to see its feasibility for network anomaly detection on NSL-KDD data set, which is one of the most popular data mining techniques for classification. In order to handle the over-fitting problem of decision tree, we select 13 features from the original 41 features of the data set using chi-square test, and then model the decision tree using TensorFlow and Scik-Learn, yielding 84% and 70% of binary classification accuracies on the KDDTest+ and KDDTest-21 of NSL-KDD test data set. This result shows 3% and 6% improvements compared to the previous 81% and 64% of binary classification accuracies by decision tree technologies, respectively.

• Journal of Bio-Environment Control
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• v.16 no.3
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• pp.222-227
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• 2007

In this study, nutrient solution for Liliaceae (Chinese chive) leafy vegetable was developed. The various strength (1/2, 1 and 3/2) of nutrient solution recommended by National Horticultural Research Institute (NSH) was applied to the crops in deep flow technique (DFT) system for 42 days. The growth of Chinese chive were highest in the treatment of 1/2 strength. The proper constitution of nutrient solution developed for liliaceae crops (NSL) was N 12, P 2.5, K 7, Ca 4 and Mg 2 met. The crops were grown two times in March and September to examine the appropriateness of the NSC. As a result, the relative growth rate and the amount of chlorophyll (SPAD value)of Chinese chive treated with NSL were increased 1.11 times. The most important nutrient factor of ascorbic acid were also increased 1.16 times.

• The Journal of Korean Academy of Prosthodontics
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• v.8 no.1
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• pp.73-76
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• 1968

The author analyzed 51 Korean male adults and 53 female adults with normal occlusion roentgenocephalometrically and following conclusions were obtained. 1. The angle between the Camper line and the maxillary occlusal line was $-6.22^{\circ}$ in male and $-4.76^{\circ}$ in female. There was not a considerable difference between male and female. 2. The angle formed by the Camper line and the Frankfort Horizontal line was $18.01^{\circ}$ in male and $17.3^{\circ}$ in female. Not a significant difference was found in both sexes. 3. The angles of NSL-$OL_s$, NSL-FH and $OL_s$-FH showed no considerable differences in both sexes.

• The korean journal of orthodontics
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• v.21 no.3
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• pp.581-590
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• 1991

This study was carried out for the comparison of the head postures between mouth breathers and normal nasal breathers. For this purpose, a test group of 28 mouth breathers, between the ages of 8 to 12 years old and a control group of 25 nasal breathers were used. Following results were obtained after comparing the craniofacial and craniocervical angulations to the True Vertical line. 1. In the comparisions relating to the True Vertical Line, results were obtained using four items; NSL/VER, FH/VER, NL/VER, PMV/VER. Variations were observed in all the items and the craniofacial angulations in the mouth breathers group showed more superior position compared to the control group. 2. In the comparisions relating to the craniocervical angulations, results were obtained using four items; NSL/OPT, FH/OPT, NL/OPT, PMV/OPT. Variations between the two groups were observed only in the PMV/OPT item and the mouth breather group showed more craniocervical angulations compared to the control group.

• Convergence Security Journal
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• v.17 no.1
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• pp.31-38
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• 2017

As the cyber-attacks through the networks advance, it is difficult for the intrusion detection system based on the simple rules to detect the novel type of attacks such as Advanced Persistent Threat(APT) attack. At present, many types of research have been focused on the application of machine learning techniques to the intrusion detection system in order to detect previously unknown attacks. In the case of using the machine learning techniques, the performance of the intrusion detection system largely depends on the feature set which is used as an input to the system. Generally, more features increase the accuracy of the intrusion detection system whereas they cause a problem when fast responses are required owing to their large elapsed time. In this paper, we present a network intrusion detection system based on artificial neural network, which adopts a multi-objective genetic algorithm to satisfy the both requirements: accuracy, and fast response. The comparison between the proposing approach and previously proposed other approaches is conducted against NSL_KDD data set for the evaluation of the performance of the proposing approach.