• Journal of Bio-Environment Control
• /
• v.7 no.1
• /
• pp.1-8
• /
• 1998

A Hardware system of hybrid environmental control was developed for using it in the multi-greenhouse. Now, an on/off control system is most utilized in protected cultivation, but a hybrid environmental control system is not yet. This system consists of a hardware to be devided by physical elements and a software for the hardware a personal computer, a hybrid environmental control and a communication Program for modules. The hardware was made of several independent modules with independent CPU. Each module was made to slots. which are very convenient to mount and take off. Also, they are managed easily to repair, add, remove, and change of their function and expansion. The software for a personal computer was a menu driven program written in visual basic within a Windows environment for easy applications by a user. The hybrid environmental control software have operating factors operate continuously with temperature, humidity and others in greenhouse. Communication programs were used both 485 communication method for long distance communication between modules and CRC communication method for making easy to program, and less errors between personal computer and modules.

• Smart Structures and Systems
• /
• v.4 no.5
• /
• pp.667-684
• /
• 2008

Numerous devices exist for reducing or eliminating seismic damage to structures. These include passive dampers, semi-active dampers, and active control devices. The performance of structural systems with these devices has often been evaluated using numerical simulations. Experiments on structural systems with these devices, particularly at large-scale, are lacking. This paper describes a real-time hybrid testing facility that has been developed at the Lehigh University NEES Equipment Site. The facility enables real-time large-scale experiments to be performed on structural systems with rate-dependent devices, thereby permitting a more complete evaluation of the seismic performance of the devices and their effectiveness in seismic hazard reduction. The hardware and integrated control architecture for hybrid testing developed at the facility are presented. An application involving the use of passive elastomeric dampers in a three story moment resisting frame subjected to earthquake ground motions is presented. The experiment focused on a test structure consisting of the damper and diagonal bracing, which was coupled to a nonlinear analytical model of the remaining part of the structure (i.e., the moment resisting frame). A tracking indictor is used to track the actuator ability to achieve the command displacement during a test, enabling the quality of the test results to be assessed. An extension of the testbed to the real-time hybrid testing of smart structures with semi-active dampers is described.

• Smart Structures and Systems
• /
• v.25 no.3
• /
• pp.323-335
• /
• 2020

Magnetorheological elastomer (MRE), a smart material, is an innovative material for base isolation system. It has magnetorheological (MR) effect that can control the stiffness in real-time. In this paper, a new hybrid base isolation system combining two electromagnetic closed circuits and the roller bearing is proposed. In the proposed system, the roller part can support the vertical load. Thus, the MRE part is free from the vertical load and can exhibit the maximum MR effect. The MRE magnetic loop is constructed in the free space of the roller bearing and forms a strong magnetic field. To demonstrate the performance of the proposed hybrid base isolation system, dynamic characteristic tests and performance evaluation were carried out. Dynamic characteristic tests were performed under the extensive range of strain of the MRE and the change of the applied current. Performance evaluation was carried out using the hybrid simulation under five earthquakes (i.e., El Centro, Kobe, Hachinohe, Northridge, and Loma Prieta). Especially, semi-active fuzzy control algorithm was applied and compared with passive type. From the performance evaluation, the comparison shows that the new hybrid base isolation system using fuzzy control algorithm is superior to passive type in reducing the acceleration and displacement responses of a target structure.

• Journal of Environmental Science International
• /
• v.19 no.8
• /
• pp.971-981
• /
• 2010

The objectives of this study were to measure ambient total gaseous mercury (TGM) concentrations in Seoul, to analyze the characteristics of TGM concentration, and to identify of possible source areas for TGM using back-trajectory based hybrid receptor models like PSCF (Potential Source Contribution Function) and RTWC (Residence Time Weighted Concentration). Ambient TGM concentrations were measured at the roof of Graduate School of Public Health building in Seoul for a period of January to October 2004. Average TGM concentration was $3.43{\pm}1.17\;ng/m^3$. TGM had no notable pattern according to season and meteorological phenomena such as rainfall, Asian dust, relative humidity and so on. Hybrid receptor models incorporating backward trajectories including potential source contribution function (PSCF) and residence time weighted concentration (RTWC) were performed to identify source areas of TGM. Before hybrid receptor models were applied for TGM, we analysed sensitivities of starting height for HYSPLIT model and critical value for PSCF. According to result of sensitivity analysis, trajectories were calculated an arrival height of 1000 m was used at the receptor location and PSCF was applied using average concentration as criterion value for TGM. Using PSCF and RTWC, central and eastern Chinese industrial areas and the west coast of Korea were determined as important source areas. Statistical analysis between TGM and GEIA grided emission bolsters the evidence that these models could be effective tools to identify possible source area and source contribution.

• Smart Structures and Systems
• /
• v.20 no.3
• /
• pp.285-301
• /
• 2017

This paper presents the design and the application of a new self-powered hybrid electromagnetic damper that can harvest energy while mitigating the vibration of a structure. The damper is able to switch between an energy harvesting passive mode and a semi-active mode depending on the amount of energy harvested and stored in the battery. The energy harvested in the passive mode resulting from the suppression of vibration is employed to power up the monitoring and electronic components necessary for the semi-active control. This provides a hybrid control capability that is autonomous in terms of its power requirement. The proposed hybrid circuit design provides two possible options for the semi-active control: without energy harvesting and with energy harvesting. The device mechanism and the circuitry that can drive this self-powered electromagnetic damper are described in this paper. The parameters that determine the device feasible force-velocity region are identified and discussed. The effectiveness of this hybrid damper is evaluated through a numerical simulation study on vibration mitigation of a bridge stay cable under wind excitation. It is demonstrated that the proposed hybrid design outperforms the passive case without external power supply. It is also shown that a broader force range, facilitated by decoupled passive and semi-active modes, can improve the vibration performance of the cable.

• Smart Structures and Systems
• /
• v.14 no.6
• /
• pp.1081-1103
• /
• 2014

Real-time hybrid simulation (RTHS) has emerged as an important tool for testing large and complex structures with a focus on rate-dependent specimen behavior. Due to the real-time constraints, accurate dynamic control of servo-hydraulic actuators is required. These actuators are necessary to realize the desired displacements of the specimen, however they introduce unwanted dynamics into the RTHS loop. Model-based actuator control strategies are based on linearized models of the servo-hydraulic system, where the controller is taken as the model inverse to effectively cancel out the servo-hydraulic dynamics (i.e., model-based feedforward control). An accurate model of a servo-hydraulic system generally contains more poles than zeros, leading to an improper inverse (i.e., more zeros than poles). Rather than introduce additional poles to create a proper inverse controller, the higher order derivatives necessary for implementing the improper inverse can be calculated from available information. The backward-difference method is proposed as an alternative to discretize an improper continuous time model for use as a feedforward controller in RTHS. This method is flexible in that derivatives of any order can be explicitly calculated such that controllers can be developed for models of any order. Using model-based feedforward control with the backward-difference method, accurate actuator control and stable RTHS are demonstrated using a nine-story steel building model implemented with an MR damper.

• Smart Structures and Systems
• /
• v.12 no.6
• /
• pp.641-659
• /
• 2013

In this paper is studied the influence of the uncertain mass distribution over the floors on the choice of the optimal parameters of a hybrid control system for tall buildings subjected to wind load. In particular, an optimization procedure is developed for the robust design of a hybrid control system that is based on an enhanced Monte Carlo simulation technique and the genetic algorithm. The large computational effort inherent in the use of a MC-based procedure is reduced by the employment of the Latin Hypercube Sampling. With reference to a tall building modeled as a multi degrees of freedom system, several numerical analyses are carried out varying the parameters influencing the floors' masses, like the coefficient of variation of the distribution and the correlation between the floors' masses. The procedure allows to obtain optimal designs of the control system that are robust with respect to the uncertainties on the distribution of the dead and live loads.

• Journal of Korean Society for Atmospheric Environment
• /
• v.29 no.4
• /
• pp.486-503
• /
• 2013

This paper has comprehensively reviewed fine dust control technology from emission sources. Owing to the stringent national regulation, domestic industries have made consistent efforts to develop the high efficiency facilities since 1960s. In these days, harmful particulate pollutants including dioxins and PAHs as well as $PM_{2.5}$ are also of critical interests in government and civic groups. In addition, simultaneous treatment of gas and particles is being widely studied. It is believed that hybrid facilities which integrate a few advanced equipment may meet the atmospheric guidelines.

• Structural Monitoring and Maintenance
• /
• v.9 no.2
• /
• pp.179-200
• /
• 2022

This paper proposes a data-driven methodology for online early damage identification under changing environmental conditions. The proposed method relies on two data analysis methods: feature-based method and hybrid principal component analysis (PCA) and kernel PCA to separate damage from environmental influences. First, spectral sub-band features, namely, spectral sub-band centroids (SSCs) and log spectral sub-band energies (LSSEs), are proposed as damage-sensitive features to extract damage information from measured structural responses. Second, hybrid modeling by integrating PCA and kernel PCA is performed on the spectral sub-band feature matrix for data normalization to extract both linear and nonlinear features for nonlinear procedure monitoring. After feature normalization, suppressing environmental effects, the control charts (Hotelling T² and SPE statistics) is implemented to novelty detection and distinguish damage in structures. The hybrid PCA-KPCA technique is compared to KPCA by applying support vector machine (SVM) to evaluate the effectiveness of its performance in detecting damage. The proposed method is verified through numerical and full-scale studies (a Bridge Health Monitoring (BHM) Benchmark Problem and a cable-stayed bridge in China). The results demonstrate that the proposed method can detect the structural damage accurately and reduce false alarms by suppressing the effects and interference of environmental variations.

• Journal of Agricultural Extension & Community Development
• /
• v.22 no.1
• /
• pp.43-54
• /
• 2015

This study explored the effects of adoption of innovation and resistant attitude on farmers' perspectives and also was deigned for developing prompt spread of ICT and facilitating stronghold support center in the convergence agricultural field. To closely examine the variation for exploitation intent of stronghold support center in the ICT convergence agriculture, 110 farmers who had experienced introduction for ICT hybrid environmental control system were participated in the study using the questionnaire. The results revealed the several findings. Firstly, there was no significant differences between the self-efficacy such as confidence of application technology for farmers and adoption of innovative technique (p=.075). Secondly, suitability of using ICT hybrid environmental control system showed a significant difference in the adoption of innovation (p=2.750) while complexity of using ICT hybrid environmental control system indicated the negative effects on the adoption of innovation (p=3.591). Thirdly, introduction cost of ICT hybrid environmental control system showed the negative effects in the adoption of innovation (p=2.278), whereas adoption of innovation indicated a significant difference in the stronghold support center in the convergence agricultural field (p=5.500). Finally, resistance of ICT adoption of innovative technique revealed the negative effects on the stronghold support center in the ICT convergence agriculture. This study, therefore, demonstrated that educational assistance for acquiring ICT technique, suggestion of influences for productivity, and development for skills were needed to extend ICT convergence technology. Additionally, the study indicated the strategies related with promotion as well as ways of minimizing introduction cost.