• Computers and Concrete
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• v.24 no.6
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• pp.555-560
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• 2019

During the application of shotcrete, a part of the concrete bounces back after hitting to the surface, the reinforcement or previously sprayed concrete. This rebound material is definitely not added to the mixture and considered as waste. In this study, a deep neural network model was developed to predict the rebound material during shotcrete application. The factors affecting rebound and the datasets of these parameters were obtained from previous experiments. The Long Short-Term Memory (LSTM) architecture of the proposed deep neural network model was used in accordance with this data set. In the development of the proposed four-tier prediction model, the dataset was divided into 90% training and 10% test. The deep neural network was modeled with 11 dependents 1 independent data by determining the most appropriate hyper parameter values for prediction. Accuracy and error performance in success performance of LSTM model were evaluated over MSE and RMSE. A success of 93.2% was achieved at the end of training of the model and a success of 85.6% in the test. There was a difference of 7.6% between training and test. In the following stage, it is aimed to increase the success rate of the model by increasing the number of data in the data set with synthetic and experimental data. In addition, it is thought that prediction of the amount of rebound during dry-mix shotcrete application will provide economic gain as well as contributing to environmental protection.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.10
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• pp.6310-6316
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• 2014

The increase in the Internet and smart device users requires high-level network security. Network security consists of Web Firewall, Network Firewall, IPS, DDoS system, UTM (Unified Treat Management), VPN, NAC (Network Access Control), Wireless security, Mobile security, and Virtualization. Most network security solutions running on IPv4, and IPv6 network services are not sufficiently ready. Therefore, in this paper, this study designed and implemented important functions of Network Access Control (NAC), which include IPv6 host detection, isolation, blocking and domain assignment for the IPv6 network. In particular, domain assignment function makes 128 bits IPv6 address management easy. This system was implemented on a KISA IPv6 test-bed using well known devices. Finally, the test result showed that all IPv6 based wired and wireless devices were well-controlled (detection, blocking, isolation and domain assignment).

• Journal of Internet Computing and Services
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• v.6 no.1
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• pp.1-12
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• 2005

Recently, the patterns of cyber attack through internet have been various and have become more complicated and thus it is difficult to detect a network intruder effectively and to response the intrusion quickly. Therefore, It is almost not possible to chase the real location of a network intruder and to isolate the Intruder from network in UDP based DoS or DDoS attacks spoofing source IP address and in TCP based detour connection attacks. In this paper, we propose active security architecture on active network to correspond to various cyber attacks promptly. Security management framework is designed using active technology, and security control mechanism to chase and isolate a network intruder is implemented. We also test the operation of the active security mechanism implemented on test_bed according to several attack scenarios and analyze the experiment results.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37B no.9
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• pp.822-830
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• 2012

The most representative research network in Korea, KREONET has developed the NSI based NSA (Network Service Agent) technology. The developed NSA supports web service and provides services for reservation, provision, release and termination of network resource, whenever users want to utilize them. In this paper, the system blocks of the developed NSA and flows of NSI interface massage are presented firstly, Also, service test results for NSI connection reservation is given through internet communication of the web portal system to operate as the RA NSA and the NSA, Finally, it is confirmed that reservation, provision, release and termination of network resource can be established through NSI messages based on reservation information from user, between the web portal and the NSA.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.2
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• pp.389-392
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• 2017

Previously, PCC and RFCC were proposed for the network coding possibility test of flow-intersecting nodes in a multi-hop wireless network. PCC works correctly only if there is only one intersecting node. RFCC solves this problem by defining the network coding conditions with considering decoding possibility at intermediate nodes. However, this may increase decoding possibility test overhead and coding operations at intermediate nodes. In this paper, we define DCC which can decrease this overhead by allowing decoding only at destinations. We analyze the performance of DCC by simulations.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.6
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• pp.551-556
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• 2004

Coagulation process is one of the most important processes in water treatment procedures for stable and economical operation, and coagulant dosing of this process for most plants is generally determined by the jar test. However, this method does not only take a long time to analyze and get the result but also has difficulties in applying to automatic control. This paper shows the feasibility of applying neural network to control the coagulant dosing automatically in water treatment plant. To be specific, the predicted results of the neural network model is shown to be similar to that of jar test. The input variables for learning the neural network are turbidity, water temperature, pH, and alkalinity. Combining the neural network and SCD(Streaming Current Detector) for feedforward and feedback control of injecting coagulant, a rapid change of the raw water quality can be accommodated.

• Proceedings of the Korean Society for Rock Mechanics Conference
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• 2000.09a
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• pp.129-137
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• 2000

This paper presents groundwater flow characteristics in discontinuous rock mass using fracture network program(NAPSAC) by statistical approach. Equivalent permeability coefficients are estimated from borehole data around Mabuk test tunnel site and fracture map on the arch of the tunnel. The reliability of fracture network model is obtained from determination of input data for statistical fracture network analysis from the real data(data of fracture network, data of hydraulic tests). The variation of permeability and mean anisotropic permeability coefficients are calculated from the realized model by increasing the size. As a result of analysis, a strong anisotropy of permeability is observed according to the direction of the fracture sets around the test tunnel.

• Tunnel and Underground Space
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• v.10 no.3
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• pp.378-386
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• 2000

This paper presents groundwater flow characteristics in discontinuous rock mass using fracture network program(NAPSAC) by statistical approach. Equivalent permeability coefficients are estimated from borehole data around Mabuk test tunnel site and fracture map on the arch of the tunnel. The reliability of fracture network model is obtained from determination of input data for statistical fracture network analysis from the real data(data of fracture network, data of hydraulic tests). The variation of permeability and mean anisotropic permeability coefficients are calculated from the realized model by increasing the size. As a result of analysis, a strong anisotropy of permeability is observed according to the direction of the fracture sets around the test tunnel.

• Journal of Korean Society of Forest Science
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• v.96 no.1
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• pp.70-76
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• 2007

The main purpose of this study was to realize Mountain Search and Rescue System based on Ubiquitous Sensor Network for applying search and rescue operations in the mountains. The on-site survey was conducted in order to test the possibility of data reception rate and sensor network stability, ten nodes was installed on the trail at 100m intervals Unson waterfall to Kwanumbong in Kyeryongsan national park. The results showed that the data reception rate was over 90.0% at least. To test sensor network stability, nodes were randomly turned off one by on. The result was 100% functionality.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.652-655
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• 2017

As maritime information and communication technology has been developing and the demands for various kinds of application services has been increasing nowadays, the multi-band maritime networks combining available multiple radio networks has been introduced. We have previously proposed a multi-band network selection(MNS) system which operates in the middleware layer and selects the best available network seamlessly. In this paper we develop MNS server software, network interfaces, and application program. The functionalities of the MNS system, including updating network status, connecting to heterogeneous networks, and communicating in the best network are also verified via indoor test.