• Structural Engineering and Mechanics
• /
• v.74 no.2
• /
• pp.201-214
• /
• 2020

This study aims at evaluating composite moment frame structures (CFS) using wavelet analysis of the displacement behavior of these structures. Five seismic damage mitigation systems' models of 9-story CFS are examined namely, basic (Model 1), reinforced (Model 2), buckling restrained braced (BRB) (Model 3), lead rubber bearing (LRB) (Model 4), and composite (Model 5) moment frames. A novel integration between continuous and discrete wavelet transforms is designed to estimate the wavelet power energy and variance of measurements' behaviors. The behaviors of the designed models are evaluated under influence of four seismic loads to study the dynamic performance of CFS in the frequency domain. The results show the behaviors of models 3 and 5 are lower than other models in terms of displacement and frequency performances. Model 3 has been shown lower performances in terms of energy and variance wavelets along the monitoring time; therefore, Model 3 demonstrates superior performance and low probability of failure under seismic loads. Furthermore, the wavelet variance analysis is shown a powerful tool that can be used to assess the CFS under seismic hazards.

• Journal of Advanced Navigation Technology
• /
• v.5 no.1
• /
• pp.45-53
• /
• 2001

We present the frame synchronization scheme using the FFT window position restoration algorithm appropriate for wireless OFDM systems under multipath fading environment. From the restoration of the synchronization parameters of previous several frames, the algorithm can extract the synchronization parameters for the next frames. To analyze the performance of the proposed algorithm, we compare the probability of synchronization failure under time and frequency domains, respectively. From the simulation results, one can see that the algorithm in the time domain shows better performance than in the frequency one, for the $E_b/N_o$ of 6.0dB or more.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.2 no.1
• /
• pp.53-58
• /
• 1998

Traffic nonuniformity degrades the performance of DCMA cellular systems. This paper presents a new algorithm called the Soft Handoff with Dynamic Thresholds (SHDT) which reduces the performance degeradation due traffic nonuniformity on CDMA systems. Unlike the conventional fixed handoff thresholds, algorithm allows the handoff thresholds (T_ADD and T_DROP) to vary dynamically according to the traffic density of each cell. This algerian has been implemented by means of computer simulation and the results show that SHDT improves the overall CDMA system performance in terms of outage probability. The SHDT algorithm can easily be applied to CDMA cellular systems without my modification.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.8 no.1
• /
• pp.73-81
• /
• 2007

This paper analyzes the performance of the handover in an overlaid micro/macro cellular system suited for mobile communication environments. In proposed model, it is analyzed the performance of case that subscriber who move with high speed does handover to a macrocell instead of doing handover by microcell. For an easy analysis, a circle shaped cell model are assumed both in microcell and macrocell. The reservation channel scheme is adopted in microcell for a low-speed mobile while a scheme using queue is used in macrocell for a high-speed mobile. The analytic results show that the proposed scheme provides a lower handover failure relatively than in a non-overlaid cellular system with slightly increased new call blocking probability.

• Korean Journal of Veterinary Research
• /
• v.50 no.1
• /
• pp.43-48
• /
• 2010

Animal disease surveillance system, defined as the continuous investigation of a given population to detect the occurrence of disease or infection for control purposes, has been key roles to assess the health status of an animal population and, more recently, in international trade of animal and animal products with regard to risk assessment. Especially, for a system aiming to determine whether or not a disease is present in a population sensitivity of the system should be maintained high enough not to miss an infected animal. Therefore, when planning the implementation of surveillance system a number of factors that affecting surveillance sensitivity should be taken into account. Of these parameters sample size is of important, and different approaches are used to calculate sample size, usually depending on the objective of surveillance systems. The purpose of this study was to evaluate the sensitivity of the current national serological surveillance programs for four selected bovine diseases assuming a specified sampling plan, to examine factors affecting the probability of detection, and to provide sample sizes required for achieving surveillance goal of detecting at least an infection in a given population. Our results showed that, for example, detecting low level of prevalence (0.2% for bovine tuberculosis) requires selection of all animals per typical Korean cattle farm (n = 17), and thus risk-based target surveillance for high risk groups can be an alternative strategy to increase sensitivity while not increasing overall sampling efforts. The minimum sample size required for detecting at least one positive animal was sharply increased as the disease prevalence is low. More importantly, high reliability of prevalence estimation was expected with increased sampling fraction even when zero-infected animal was identified. The effect of sample size is also discussed in terms of the maximum prevalence when zero-infected animals were identified and on the probability of failure to detect an infection. We suggest that for many serological surveillance systems, diagnostic performance of the testing method, sample size, prevalence, population size, and statistical confidence need to be considered to correctly interpret results of the system.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.34 no.1
• /
• pp.11-18
• /
• 2010

Tool condition monitoring (TCM) is crucial for improvement of productivity in manufacturing process. However, TCM techniques have not been applied to monitor tool failure in an industrial gear shaving application. Therefore, this work studied a statistical TCM method for monitoring gear shaving tool condition. The method modeled the vibration signal of the shaving process using beta probability distribution in order to extract the effective features for TCM. Modeling includes rectifying for converting a bi-modal distribution into a unimodal distribution, estimating the parameters of beta probability distribution based on method of moments. The performance of features obtained from the proposed method was evaluated and discussed.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 1998.06a
• /
• pp.762-766
• /
• 1998

Mechanical valve is one of the most widely used implantable artificial organs, Since its failure (mechanical failures and thrombosis to name two representative example) means the death of patient, its reliability is very important and early noninvasive detection is essential requirement . This paper will explain the method to detect the thrombosis formation by spectral analysis and neural network. In order quantitatively to distinguish peak of a normal valve from that of a thrombotic valve, a 3 layer backpropagation neural network, which contains 7,000 input nodes, 20 hidden layer and 1output , was employed. The trained neural network can distinguish normal and thrombotic valve with a probability that is higher than 90% . In conclusion, the acoustical spectrum analysis coupled with a neural network algorithm lent itself to the noninvasive monitoring of implanted mechanical valves. This method will be applied to be applied to the performance evaluation of other implantable rtificial organs.

• Earthquakes and Structures
• /
• v.9 no.3
• /
• pp.563-576
• /
• 2015

Over the past few decades, seismic retrofitting of structural systems has been significantly improved by the adoption of various methods such as FRP composite wraps, base isolation systems, and passive/active damper control systems. In parallel with this trend, probabilistic risk assessment (PRA) for structural and nonstructural components has become necessary for risk mitigation and the achievement of reliable designs in performance-based earthquake engineering. The primary objective of the present study was to evaluate the effect on piping fragility at T-joints due to seismic retrofitting of structural systems with passive energy-dissipation devices (i.e., linear viscous dampers). Three mid-rise building types were considered: without any seismic retrofitting; with distributed damper systems; with optimal placement of dampers. The results showed that the probability of piping system failure was considerably reduced in a Multi Degree of Freedom (MDOF) building retrofitted with optimal passive damper systems at lower floor levels. This effect of damper systems on piping fragility became insignificant as the floor level increased.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2001.10a
• /
• pp.257-260
• /
• 2001

The primary objective of Supply Chain Management (SCM) is to optimize the cash, material and information flow considering all components of Supply Chain (SC) . The plan, established for achieving such objective, is called Supply Chain Planning (SCP) . This SCP gives each SC component specific volume or operation task, should be done in specific due date, for optimizing SC. In detail, the degree of accomplishment for SCP, depends on the SCP achievement of each SC components, is very close to successful SCM. However, this achievement is affected by uncertainties about time and volume. In general, reliability concepts means the probability that a product or system will perform its specified function under prescribed conditions without failure for a specified period of time. Therefore, the concept of Supply Chain Reliability (SCR) and an analytic methodology to calculate the degree of achievement SCP using reliability concept are proposed in this paper. SCR means that the degree of achievement for SCP considering all SC components in due date. SCR can be used to measure the performance of whole supply chain and indicate the direction of SCP.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.27 no.1
• /
• pp.61-67
• /
• 2013

The turnout point system is installed to separate the main rail track from other tracks in rail load stations. It is also important to set up the switch point system to change the direction of the turnout point, to lead and change the direction of tracks. The switch point system can be negatively affected by heavy snow during winter seasons which can cause critical safety problems. Furthermore, the maintenance and repair of the conventional system is prohibitively expensive due to its complexity and high probability of failure. In this paper, an efficient switch point system is proposed which simplifies the equipment structure and lowers the cost for maintenance and repair, while improving safety and performance of the rail road system.