• Archives of design research
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• v.16 no.3
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• pp.381-390
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• 2003

The purpose of this study was to examine satisfactory of users and actual condition in the postpartum care center. This study focused on the private room for postpartum mothers. Data were collected through questionnaire survey including observations and interviews. The subjects of this subjects study were 240 postpartom mothers. The interviews were carried out from March 8th. 2003. to March 29nd. 2003 The data were analyzed by using SPSS-Win. The major results of this study were as follows: 1) The ambient elements such as noise, ventilation, and natural light should be considered primarily for the postpartum mother rooms. 2) The functional elements such as the size of the room, window, toliet are important factor of the satisfaction for users

• Journal of the Korean Society of Food Culture
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• v.20 no.4
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• pp.438-445
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• 2005

This research examines how various dimensions of physical environments influence patrons' psychological responses(especially emotional responses) in the restaurant service setting, and how these emotional responses, in turn, influence patrons' attitude formation. The result of empirical research indicates that restaurant physical environments have a significant effect patrons' emotional responses, and that these psychological experiences serve as critical mediators in the restaurant physical environments-store attitudes relationship. However, the effects of restaurant physical environments on patrons' psychological responses varied with the dimensions of physical environments. First, the effect of cleanliness on emotional responses was most significant, especially on negative emotion, out of 4 dimension of restaurant physical environment. Second, ambient conditions are the most important predictor on customers' positive emotion, and in turn, positive emotion has the most significant effects on customers' attitude formation of restaurant. Therefore, the result suggests that restaurants should manage(or, improve) their ambient conditions(e.g. background music, scents, ventilation, noise etc.) for efficiently maximizing customers' positive attitude. The implications of this study are discussed, and ideas for future work suggested.

• Smart Structures and Systems
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• v.7 no.2
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• pp.133-152
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• 2011

System identification is a fundamental step towards the application of structural health monitoring and damage detection techniques. On this respect, the development of evolved identification strategies is a priority for obtaining reliable and repeatable baseline modal parameters of an undamaged structure to be adopted as references for future structural health assessments. The paper presents the identification of the modal parameters of the Guangzhou New Television Tower, China, using a data-driven stochastic subspace identification (SSI-data) approach complemented with an appropriate automatic mode selection strategy which proved to be successful in previous literature studies. This well-known approach is based on a clustering technique which is adopted to discriminate structural modes from spurious noise ones. The method is applied to the acceleration measurements made available within the task I of the ANCRiSST benchmark problem, which cover 24 hours of continuous monitoring of the structural response under ambient excitation. These records are then subdivided into a convenient number of data sets and the variability of modal parameter estimates with ambient temperature and mean wind velocity are pointed out. Both 10 minutes and 1 hour long records are considered for this purpose. A comparison with finite element model predictions is finally carried out, using the structural matrices provided within the benchmark, in order to check that all the structural modes contained in the considered frequency interval are effectively identified via SSI-data.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.7A
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• pp.520-528
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• 2003

This paper proposes a method of implementing synthetic stereo and an acoustic echo cancellation algorithm for multiple participant conference system. Synthetic stereo is generated by HRTF and two loudspeakers. A robust adaptive algorithm for synthetic stereo echo cancellation is proposed to reduce the weight misalignment due to near-end speech signals and ambient noises. The proposed adaptive algorithm is modified version of SMAP algorithm and the coefficients of adaptive filter is updated with cross correlation of input and estimation error signal normalized with sum of the autocorrelation of input signal and the power of the estimation error signal multiplied with projection order. This is more robust to projection order and ambient noise than conventional SMAP. Computer simulation show that the proposed algorithm effectively attenuates synthetic stereo acoustic echo.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.23 no.7
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• pp.928-936
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• 1999

The electronic refrigerating kimchi jar operates with a low noise because it contains no compressor but it consumes more energy than that of an refrigerator with compressor. In this paper, the heat flow characteristics and cooling performance of an electronic refrigerating kimchi jar are studied by means of experiments. When the storage temperature is kept in a range of $-5.7^{\circ}C$ to $4.1^{\circ}C$. in the case of three ambient temperatures; $12.7^{\circ}C$, $22.3^{\circ}C$ and $32.2^{\circ}C$, the cooling performance of $20{\ell}$ kimchi jar is investigated. The experiments show that the temperature difference that exists between kimchi jar and its ambient provides a measure of the coefficient of performance of kimchi jar. It is also found that ratio of net pumping heat to the heat pumping rate of thermoelectric module is independent of the temperature difference.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.57 no.4
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• pp.404-407
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• 2008

Because of directly receiving the thing in which a microwave is reflected and comparing the frequency, the microwave sensor with doppler effect completely overcomes the problem of the passive infrared sensor. The microwave sensor with doppler effect well operates about a temperature, the dust, and the peripheral noise because of being dull in the most of ambient conditions. The system developed in this research is the electricity saving detection sensor which it senses the real time action of a man as the microwave sensor and automatically turns on the electric lamp and turns off, minimizes the electrical energy consumption. Since the microwave sensor is not influenced in the light, the dust, and the natural element like the ambient temperature, the effectiveness is considered to be superior to the passive infrared sensor being used currently. There was the energy reduction effect more than about 60% in the performed example which established this system. When this was compared with the construction cost, the cost of establishing payback period was about 1-1.5 year. The microwave sensor with doppler effect developed from this research result is convinced in the future to do enough for the electric energy saving.

• Smart Structures and Systems
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• v.2 no.2
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• pp.127-140
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• 2006

In this study, a wavelet-based covariance-driven system identification technique is proposed for damage assessment of structures under ambient excitation. Assuming the ambient excitation to be a white-noise process, the covariance computation is shown to be able to separate the effect of random excitation from the response measurement. Wavelet transform (WT) is then used to convert the covariance response in the time domain to the WT magnitude plot in the time-scale plane. The wavelet coefficients along the curves where energy concentrated are extracted and used to estimate the modal properties of the structure. These modal property estimations lead to the calculation of the stiffness matrix when either the spectral density of the random loading or the mass matrix is given. The predicted stiffness matrix hence provides a direct assessment on the possible location and severity of damage which results in stiffness alteration. To demonstrate the proposed wavelet-based damage assessment technique, a numerical example on a 3 degree-of-freedom (DOF) system and an experimental study on a three-story building model, which are all under a broad-band excitation, are presented. Both numerical and experimental results illustrate that the proposed technique can provide an accurate assessment on the damage location. It is however noted that the assessment of damage severity is not as accurate, which might be due to the errors associated with the mode shape estimations as well as the assumption of proportional damping adopted in the formulation.

• Smart Structures and Systems
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• v.23 no.5
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• pp.507-520
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• 2019

In the structural health monitoring field, damage detection has been commonly carried out based on the structural model and the engineering features related to the model. However, the extracted features are often subjected to various errors, which makes the pattern recognition for damage detection still challenging. In this study, an automated damage identification method is presented for hanger cables in a tied-arch bridge using a convolutional neural network (CNN). Raw measurement data for Fourier amplitude spectra (FAS) of acceleration responses are used without a complex data pre-processing for modal identification. A CNN is a kind of deep neural network that typically consists of convolution, pooling, and fully-connected layers. A numerical simulation study was performed for multiple damage detection in the hangers using ambient wind vibration data on the bridge deck. The results show that the current CNN using FAS data performs better under various damage states than the CNN using time-history data and the traditional neural network using FAS. Robustness of the present CNN has been proven under various observational noise levels and wind speeds.

• Computers and Concrete
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• v.27 no.1
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• pp.29-39
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• 2021

This study aimed to develop a method for the determination of the damaged story in reinforced concrete (RC) structure with ambient vibrations, based on modified jerk energy methodology. The damage was taken as a localized reduction in the stiffness of the structural member. For loading, random white noise excitation was used, and dynamic responses from the finite element model (FEM) of 4 story RC shear frame were extracted at nodal points. The data thus obtained from the structure was used in the damage detection and localization algorithm. In the structure, two damage configurations have been introduced. In the first configuration, damage to the structure was artificially caused by a local reduction in the modulus of elasticity. In the second configuration, the damage was caused, using the Elcentro1940 and Kashmir2005 earthquakes in real-time history. The damage was successfully detected if the frequency drop was greater than 5% and the mode shape correlation remained less than 0.8. The results of the damage were also compared to the performance criteria developed in the Seismostruct software. It is demonstrated that the proposed algorithm has effectively detected the existence of the damage and can locate the damaged story for multiple damage scenarios in the RC structure.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.740-749
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• 2017

The epigraphy is a text or a picture engraved on metal or stone. One of advantages of rubbing of ancient inscription has been used in epigraphic field is simple. But the rubbing is not an optimal method in viewpoints of resolution and noise to decode the inscribed characters. In this study, we proposed a new research method that increases the possibility of a reading by reflecting the 3D characteristics of the engraved letters. The proposed techniques apply 3D scanning technology to obtain three-dimensional and high quality data of each of the letters in the epigraphy and use Ambient Occlusion visualization techniques to express the shade according to the 3D form of the letters. Research result enhances the readability of the letters that removed the damaged and worn information from the letters information of surface. This research contributes to narrow the scope of a particular letter and read to the controversial letters on the Pohang Jungsoengri Silla Stone Monument(Korea's national treasure number 318).