• Journal of the Korean Geotechnical Society
• /
• v.28 no.10
• /
• pp.17-25
• /
• 2012

Shotcrete, rockbolt, and steel rib are installed to support ground after tunnel was excavated. These are important supports for NATM applied tunnels. Recently, lattice girder is increasingly used because it is easily installed. In this study, we developed a new lattice girder by increasing contacting area between spider and rod. To verify the effect of the new lattice girder, the 3-point and 4-point flexural strength tests were carried out for LG-$50{\times}20{\times}30$, LG-$70{\times}20{\times}30$, LG-$95{\times}22{\times}32$. As a result, in case of contacting area, strength of new SGS lattice girder is 17.95% higher than that of original lattice girder. In case of weakness point, strength of new SGS lattice girder is 19.37% higher than that of original lattice girder.

• The Journal of the Korea Contents Association
• /
• v.15 no.11
• /
• pp.422-432
• /
• 2015

The government provides various support systems for small-medium companies who perform a vital role for hiring and manufacturing: focusing on activating of start-up. Various governmental supports have been made and these entrepreneurship support systems have been contributed a certain point to start-up activation. Based on precedent study, this study has been setup the independent variables as five factors: mainly tax support system, financial support system, technology support system, management support system, self-employment infrastructure support program and empirically completed with the hypothesis how independent variables affect entrepreneurial intention. In this study, surveys which consist of measurements and questions allowing drawing variables and verifying the relationship between variables, and empirical study methods that prove in accordance with statistics process of measured data were implemented. To conclude, the results are as follows. It was showed in supplemental analysis performed through path analysis that tax support system and financial support system influence entrepreneurial intention.

• International Journal of Internet, Broadcasting and Communication
• /
• v.12 no.4
• /
• pp.33-41
• /
• 2020

Nowadays, distributed mobility management (DMM) approaches have been widely adopted to address the limitations of centralized architectural methods to support seamless data transmission schemes in wireless sensor networks. This paper deals with the end-to-end (E2E) integration of Network Mobility (NEMO) basic support protocol in distributed wireless sensor network systems in structural health and environmental monitoring of social overhead capital (SOC) public infrastructures such as bridges, national highways, tunnels, and railroads. The proposed scheme takes advantage of the features of both the NEMO basic support protocol and partially distributed network-based DMM framework in providing seamless data transmission and robust mobility support. The E2E seamless data transmission scheme allows mobile users to roam from fixed-point network access locations and mobile platforms (i.e., vehicles such as cars, buses, and trains) without disconnecting its current sessions (i.e., seamless handover).

• Journal of the Korean Institute of Intelligent Systems
• /
• v.17 no.6
• /
• pp.799-803
• /
• 2007

In this paper, we propose a new fuzzy membership function for FSVM(Fuzzy Support Vector Machines). We apply a fuzzy membership to each input point of SVM and reformulate SVM into fuzzy SVM (FSVM) such that different input points can make different contributions to the learning of decision surface. The proposed method enhances the SVM in reducing the effect of outliers and noises in data points. This paper compares classification and estimated performance of SVM, FSVM(1), and FSVM(2) model that are getting into the spotlight in time series prediction.

• Knowledge Management Research
• /
• v.9 no.2
• /
• pp.15-34
• /
• 2008

The firm leading community that is built to achieve firm's ad hoc purpose has two interested parties, operator and user. The success of the firm leading community, therefore, can be driven by meeting the needs of both parties. Most studies of the community, however, have focused not on operator but on user so far. This study identifies two variables-operating activities and organizational support-as success factors of firm leading community based on prior studies and analyzes them in term of the operator of firm leading community through 2nd in-depth interview. The result of study shows that organizational support affects operating activities and then both operating activities and organizational support affect the success of the firm leading community.

• Journal of Institute of Control, Robotics and Systems
• /
• v.15 no.4
• /
• pp.379-384
• /
• 2009

A human gaze detection and tracing method is importantly required for HMI(Human-Machine-Interface) like a Human-Serving robot. This paper proposed a novel three-dimension (3D) human gaze estimation method by using a face recognition, an orientation estimation and SVMs (Support Vector Machines). 2,400 images with the pan orientation range of $-90^{\circ}{\sim}90^{\circ}$ and tilt range of $-40^{\circ}{\sim}70^{\circ}$ with intervals unit of $10^{\circ}$ were used. A stereo camera was used to obtain the global coordinate of the center point between eyes and Gabor filter banks of horizontal and vertical orientation with 4 scales were used to extract the facial features. The experiment result shows that the error rate of proposed method is much improved than Liddell's.

• Journal of Korean Elementary Science Education
• /
• v.17 no.1
• /
• pp.105-112
• /
• 1998

It is well known that making electric motors is very difficult in chapter 2, "Electric Current and Magnetic Field", natural science textbook 6-1 in primary school. In the present paper, we propose a new and successful method for making them. The most important point is that iron cores are not used in making electromagnets. This resolves the problem that both poles of electromagnet can be attracted by any pole of permanent magnet because of iron core in the electromagnet. The thick enamel wire is used as arms of armature so that they can support the electromagnet stably and we can reliably strip off the skin of the enamel wires, completely for one end and half for the other end of the enamel wires coming from the electromagnet. In addition, we suggest the ring-type support made of aluminum foil and the M-shaped support made of thick enamel wire that can substitute for the M-shaped copper wire support for armature. armature.

• Journal of the Korean Data and Information Science Society
• /
• v.18 no.3
• /
• pp.735-744
• /
• 2007

Support vector machine(SVM) is capable of providing a more complete description of the linear and nonlinear relationships among random variables. In this paper we propose a sparse kernel regression(SKR) to overcome a weak point of SVM, which is, the steep growth of the number of support vectors with increasing the number of training data. The iterative reweighted least squares(IRWLS) procedure is used to solve the optimal problem of SKR with a Laplacian prior. Furthermore, the generalized cross validation(GCV) function is introduced to select the hyper-parameters which affect the performance of SKR. Experimental results are then presented which illustrate the performance of the proposed procedure.

• Communications for Statistical Applications and Methods
• /
• v.6 no.2
• /
• pp.337-344
• /
• 1999

Support vector machine(SVM) is a new and very promising regression and classification technique developed by Vapnik and his group at AT&T Bell laboratories. This article provides a brief overview of SVM focusing on linear regression. We explain from statistical point of view why SVM might be attractive and how this could be compared with other linear regression techniques. Furthermore. we explain model selection based on VC-theory.

• Journal of the Korean Data and Information Science Society
• /
• v.12 no.2
• /
• pp.83-93
• /
• 2001

We investigate a kernel approach to discriminant analysis for binary classification as a machine learning point of view. Our view of the kernel approach follows support vector method which is one of the most promising techniques in the area of machine learning. As usual discriminant analysis, the kernel method can discriminate an object most likely belongs to. Moreover, it has some advantage over discriminant analysis such as data compression and computing time.