• Journal of Broadcast Engineering
• /
• v.14 no.1
• /
• pp.89-92
• /
• 2009

In this paper, we discuss the BBA based power scaling scheme in cognitive radio technique for WPAN system. We focus on Cognitive Radio environment which is currently ongoing standard procedure and is able to focus on future communication and show the transmitted power scaling of CR user. We suggest the available communication method of CR user, while it is simultaneously satisfying both minimum interference of PU(Primary User) and possible communication of CR user. The method is using the BBA, and we show several merits in face of received SINR. and we prove that CR vary its transmit power while maintaining a guarantee of service to primary users.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.9 no.4
• /
• pp.123-127
• /
• 2009

Cognitive Radio rules provide that the user outside service region should not utilize communication system in Cognitive Radio environment. The reason why main user should use service without any loss and interference. If this rule is guaranteed, CR users are able to be offered enough services outside service region. In this paper, we target the issue which can operate practical cognitive systems even without causing excessive interference to legacy users. Also, we focus use on non-interference to the primary system rather than realizable benefits for the secondary systems, and using the proposed device. In this paper, we present the possible scheme using Bi-directional Beamforming Antenna.

• Journal of the Korea Society for Simulation
• /
• v.17 no.2
• /
• pp.83-90
• /
• 2008

We introduce the coordination among the intrusion detection agents by BBA(BlackBoard Architecture) that belongs to the field of distributed artificial intelligence. The system which uses BBA for the coordination can be easily expanded by adding new agents and increasing the number of BB(BlackBoard) levels. Several simulation tests performed on the targer network will illustrate our techniques. And this paper applies PBN(Policy-Based Network) to reduce the false positives that is one of the main problems of IDS. The performance obtained from the coordination of intrusion detection agent with PBN is compared against the corresponding non PBN type intrusion detection agent. The application of the research results lies in the experimentation of the various security policies according to the network types in selecting the best security policy that is most suitable for a given network.

• Korean Journal of Remote Sensing
• /
• v.26 no.5
• /
• pp.593-603
• /
• 2010

Most spatial data acquisition systems employing a set of frame cameras may have suffered from their small fields of view and poor base-distance ratio. These limitations can be significantly reduced by employing an omni-directional camera that is capable of acquiring images in every direction. Bundle Block Adjustment (BBA) is one of the existing georeferencing methods to determine the exterior orientation parameters of two or more images. In this study, by extending the concept of the traditional BBA method, we attempt to develop a mathematical model of BBA for omni-directional images. The proposed mathematical model includes three main parts; observation equations based on the collinearity equations newly derived for omni-directional images, stochastic constraints imposed from GPS/INS data and GCPs. We also report the experimental results from the application of our proposed BBA to the real data obtained mainly in urban areas. With the different combinations of the constraints, we applied four different types of mathematical models. With the type where only GCPs are used as the constraints, the proposed BBA can provide the most accurate results, ${\pm}5cm$ of RMSE in the estimated ground point coordinates. In future, we plan to perform more sophisticated lens calibration for the omni-directional camera to improve the georeferencing accuracy of omni-directional images. These georeferenced omni-directional images can be effectively utilized for city modelling, particularly autonomous texture mapping for realistic street view.

• Journal of Korea Water Resources Association
• /
• v.54 no.11
• /
• pp.985-998
• /
• 2021

In general, the upstream dam changes downstream flow regime dramatically, i.e., from natural flow regime to hydropeaking flows. This study investigates the impact of the natural flow pattern on downstream fish habitat in a regulated river in Korea using the physical habitat simulation. The study area is a 13.4 km long reach of the Geum-gang River, located downstream from the Yongdam Dam, Korea. A field monitoring revealed that three fish species are dominant, namely Zacco platypus, Coreoleuciscus splendidus, and Opsariichthys bidens, and they account for 70% of the total fish community. Specially, Opsariichthys bidens is an indigenous species in the Geum-gang River. The three fish species are selected as target fish species for the physical habitat simulation. The Nays2D model, a 2D shallow water equation solver, and the HSI (Habitat Suitability Index) model are used for hydraulic and habitat simulations, respectively. To assess the impact of the natural flow pattern, this study uses the annual natural flow regime and hydropeaking flows from the dam. It is found that the natural flow regime increases significantly the Composite Suitability Index (CSI) in the study reach. Then, using the Building Block Approach (BBA), the scenarios for the modifying dam operations are presented in the study reach. Both Scenario 1 and scenario 2 are proposed by using the hydrological method considering both magnitude and duration of the inflow and averaging the inflow over each month, respectively. It is revealed that the natural flow regime embodied in scenario 1 and scenario 2 increases the Weighted Usable Area (WUA) significantly, compared to the hydropeaking flows. In conclusion, the modifying the dam operations by restoring to the natural flow pattern is advantageous to fish community.

• Journal of the Korea Computer Industry Society
• /
• v.5 no.2
• /
• pp.235-242
• /
• 2004

As e-business being rapidly developed the importance of security is on the rise in network. Intrusion detection systems which are a core security system detect the network intrusion trial. As intrusions become more sophisticated, it is beyond the scope of any one IDS to deal with them. Thus we placed multiple IDS agents in the network and the information helpful for detecting the intrusions is shared among these agents to cope effectively with attackers. Each agent cooperates through the BBA (Black Board Architecture) and CNP (Contract Net Protocol) for detecting intrusions. In this paper, we propose the effective method comparing the blackboard architecture to contract net protocol.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 1996.10a
• /
• pp.351-356
• /
• 1996

\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner. \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner. \ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner. \ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner \ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner. \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner, \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner BBA(Building Block Approach)\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner. \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner. \ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner \ulcorner\ulcorner \ulcorner\ulcorner \ulcorner \ulcorner \ulcorner\ulcorner \ulcorner\ulcorner\ulcorner \ulcorner\ulcorner\ulcorner\ulcorner.