• Smart Structures and Systems
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• v.33 no.2
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• pp.93-103
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• 2024

Despite the rapid development of sensors, structural health monitoring (SHM) still faces challenges in monitoring due to the degradation of devices and harsh environmental loads. These challenges can lead to measurement errors, missing data, or outliers, which can affect the accuracy and reliability of SHM systems. To address this problem, this study proposes a classification method that detects anomaly patterns in sensor data. The proposed classification method involves several steps. First, data scaling is conducted to adjust the scale of the raw data, which may have different magnitudes and ranges. This step ensures that the data is on the same scale, facilitating the comparison of data across different sensors. Next, informative features in the time and frequency domains are extracted and used as input for a deep neural network model. The model can effectively detect the most probable anomaly pattern, allowing for the timely identification of potential issues. To demonstrate the effectiveness of the proposed method, it was applied to actual data obtained from a long-span cable-stayed bridge in China. The results of the study have successfully verified the proposed method's applicability to practical SHM systems for civil infrastructures. The method has the potential to significantly enhance the safety and reliability of civil infrastructures by detecting potential issues and anomalies at an early stage.

• Safety and Health at Work
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• v.2 no.2
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• pp.105-121
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• 2011

Objectives: This paper presents the framework and protocol design for a construction industry risk management toolbox. The construction industry needs a comprehensive, systematic approach to assess and control occupational risks. These risks span several professional health and safety disciplines, emphasized by multiple international occupational research agenda projects including: falls, electrocution, noise, silica, welding fumes, and musculoskeletal disorders. Yet, the International Social Security Association says, "whereas progress has been made in safety and health, the construction industry is still a high risk sector." Methods: Small- and medium-sized enterprises (SMEs) employ about 80% of the world's construction workers. In recent years a strategy for qualitative occupational risk management, known as Control Banding (CB) has gained international attention as a simplified approach for reducing work-related risks. CB groups hazards into stratified risk 'bands', identifying commensurate controls to reduce the level of risk and promote worker health and safety. We review these qualitative solutions-based approaches and identify strengths and weaknesses toward designing a simplified CB 'toolbox' approach for use by SMEs in construction trades. Results: This toolbox design proposal includes international input on multidisciplinary approaches for performing a qualitative risk assessment determining a risk 'band' for a given project. Risk bands are used to identify the appropriate level of training to oversee construction work, leading to commensurate and appropriate control methods to perform the work safely. Conclusion: The Construction Toolbox presents a review-generated format to harness multiple solutions-based national programs and publications for controlling construction-related risks with simplified approaches across the occupational safety, health and hygiene professions.

• Journal of Preventive Medicine and Public Health
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• v.3 no.1
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• pp.97-110
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• 1970

This survey was conducted to evaluate not only the present status of health center directors-their personal histories, their will to private practice in the future, their responses to governmental policies, -but also the distribution of doctorless myons, budget and subsidy, and director's opinions to the enhancement of health center activities. This survey questioned 116 health center directors and 16 health personnel from August to October of 1970 and obtained the following results; 1) The average ages of directors of kun, city, and total health centers were $43.2{\pm}7.8,\;42.1{\pm}7.7,\;and\;42.9{\pm}10.3$ respectively. 2) The average family sizes of directors of kun, city, and total health centers were $5.6{\pm}2.7,\;5.6{\pm}2.1,\;and\;5.6{\pm}2.6$ respectively. 3) Directors holding M. D. degrees were 79.3%, those holding qualified M. D. degrees ('approved director') were 20.7%. 4) M. P. H., M. S., and Ph. D. holders were 6.0%, 6.1%, and 4.3% respectively. 5) The average duration of present directorship in kun and city were 30.2 months and 20.4 months respectively. 6) The majority of directors had been employed in related fields before assuming current position : directorship at other health center 26.7%, army 22.4%, health subcenter 21.6%, private practice 19.0%. 7) Average length of directorship is 41.8 months. Average length of public health career, including health subcenter and present position, is 56.5 months. 8) Both rural and urban experience in health centers for regular directors is 16.3% and for approved directors, 12,5%. A total of 15.5% of all survey directors had experience in both rural and urban health center. 9) A total of 70.7% of health center directorships were staffed by local doctors. 10) Nearly 40% wanted to quit the directorships within 3 years and 60.3% had already experienced private practice. 11) Of the regular directors 17.4% felt strongly about devoting their lives to public health fields, but only 4.1% of the approved approved directors felt so. 12) There wire 432 doctorless myons among 996 respondent myons and 4.5 doctorless myons per kun. 13) The percentage of doctorless myon by Province are as follows, Cholla buk-do 57.2%, Cholla nam-de 55.0%, Kyungsang nam-do 52.0%, Kyungsang buk-do 49.7%, Chungchong but-do 42.4%, Kyonggi-do 32.9%. Cheju-do 30.8%, Kangwon-do 25.8%. 14) Two thirds of health critters have experienced the abscence of the director for a certain period since 1966 and the average span of the abscence was 18.2 months. 15) The percentage of doctorless myons increased proportionally with the span of the director's abscence. 16) The average budgets of health centers, kun, city and ku, were $W15.03\;million{\pm}W4.5\;million,\;W22.03\;million{\pm}W17.80\;million,\;W13.10\;million{\pm}W7.9\;million$ respectively. 17) Chunju city had the highest health budget per capita(W344) while Pusan Seo ku had the lowest(W19). 18) Director's medical subsidies are W30,000-50,000 in kun, and roughly W20,000 in city. 19) The older of priority in health center activities is T.B. control(31.1%), Family Planning and M. C. H.(28.0%), prevention of acute communicable disease and endemic disease (18.2%) and clinical care of patients(14.3%). 20) Nearly 32% opposed in principle the governmental policy of prohibiting medical doctors from going abroad. 21) Suggestions for immediate enhancing the position of director of health centers and subcenters: (1) Raise the base subsidy (48.2%), (2) Provide more opportunities for promotion (20.7%), (3) Exemption from army services(12.1%), (4) Full scholarship to medical students for this purpose only (7.8%). 22) A newly established medical school was opposed by 56.9% of the directors, however 33.6% of them approved. 23) Pertaining to the division of labor in Medicine and Pharmacy, the largest portion (31.9%) urged the immediate partial division of antibiotics and some addictive drugs to be given only by prescription. 24) More than half wanted a W70,000 level for the director's medical subsidies, white 36.2% stated W50,000. 25) Urgently needed skills in the kun are clinical pathologist (38.6%) and doctor (health center director) (25.5%); while in the city nurse (37.1%), doctors(clinical)(31.4%) and health educators(14.4%) are needed. 26) Essential treatment for the better health center administration; raising the base subsidy (22.7%), obtaining the power of personal management (19.3%) and the establishment of a Board of Health (14.3%). etc.

• Smart Structures and Systems
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• v.14 no.5
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• pp.917-942
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• 2014

Multivariate statistics based damage detection algorithms employed in conjunction with novel sensing technologies are attracting more attention for long term Structural Health Monitoring of civil infrastructure. In this study, two practical data driven methods are investigated utilizing strain data captured from a 4-span bridge model by Fiber Bragg Grating (FBG) sensors as part of a bridge health monitoring study. The most common and critical bridge damage scenarios were simulated on the representative bridge model equipped with FBG sensors. A high speed FBG interrogator system is developed by the authors to collect the strain responses under moving vehicle loads using FBG sensors. Two data driven methods, Moving Principal Component Analysis (MPCA) and Moving Cross Correlation Analysis (MCCA), are coded and implemented to handle and process the large amount of data. The efficiency of the SHM system with FBG sensors, MPCA and MCCA methods for detecting and localizing damage is explored with several experiments. Based on the findings presented in this paper, the MPCA and MCCA coupled with FBG sensors can be deemed to deliver promising results to detect both local and global damage implemented on the bridge structure.

• Physical Therapy Korea
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• v.2 no.1
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• pp.21-35
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• 1995

This study was done to determine a new qualitative base for educating and evaluating patients by comparing a 60 or over age group with a 20-30 age group when rising from supine to erect stance. Sixty normal adults were devided into 60 or over and 20-30 aged groups. Each persons was asked to standing from the supine position. This process was recorded by two video cameras. The results was classified into the three existing movement categories. And then they were analyzed by percent rate. The results showed that each group had its own different and special characteristics. This means that physical therapists need to select the best motor patterns according to age in teaching functional tasks such as rising from supine to erect stance.

• Korean Journal of Plant Resources
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• v.30 no.6
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• pp.686-692
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• 2017

The aim of this study was to determine the suitability of surfactant to extract higher phenolic compound, flavonoid and antioxidant activity from Tartary buckwheat and evaluate the potentiality of surfactant as a screening agent for breeding purpose. Primarily, we employed two types of surfactant (Hydrophilic: Tween 20 and Lipophilic: Span 80) to select the suitable surfactant agent for the extraction of optimum bioactive compounds. Between two surfactants, Tween 20 showed highest efficiency at 4 mM concentration to extract total phenolic content (TP), total flavonoid (TF) and antioxidant activity (AA). Tween 20 at 4 mM concentration was fixed for further analysis along with hot water ($90^{\circ}C$) treatment as a control. In our findings, highest TP (118 mg/g), TF (38 mg/g) and AA (76%) was achieved in KW21 and KW22 among the fifteen accessions of Tartary buckwheat. In other way, TP, TF and AA was 200%, 120% and 110% higher in surfactant formulation compared with control treatment, respectively.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.6
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• pp.1555-1560
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• 2012

Recently, it has been increasing attention on health care that can provide remote medical service to an aging population, people with disabilities and people having a medical checkup periodically due to increasing people's average life span. Home health care system should provide reasonable cost, on-line basic health status monitoring, embedded basic medical helper function and intuitive interface. In this paper, we developed a prototype of 3G networked pulse measurement system that can detect pulse signal information from subject's fingertip using the optical sensor. The prototype had been analyzed in terms of abnormalities, feeling, timing and pulse counting accuracy. Finally we evaluated its suitability.

• Smart Structures and Systems
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• v.21 no.2
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• pp.171-185
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• 2018

Maintenance of deteriorated bridge structures has always been one of the challenging issues in developing countries as it is directly related to daily life of people including trade and economy. An effective maintenance strategy is highly dependent on timely inspections on the bridge health condition. This study is intended to investigate an approach for detecting bridge damage for the long-term health monitoring by use of copula theory. Long-term measured data for the seven-span plate-Gerber bridge is investigated. Autoregressive time series models constructed for the observed accelerations taken from the bridge are utilized for the computation of damage indicator for the bridge. The copula model is used to analyze the statistical changes associated with the modal parameters. The changes in the modal parameters with the time are identified by the copula statistical properties. Applicability of the proposed method is also discussed based on a comparison study among other approaches.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2004.10a
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• pp.135-142
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• 2004

Two-step identification approach for effective bridge health monitoring is proposed to alleviate the issues associated with many unknown parameters faced in the real structures and to improve the accuracy in the estimate results. It is suitable for on-line monitoring scheme, since the damage assessment is not always needed to be carried out whereas the alarming for damages is to be continuously monitored. In the first step for screening potential damaged members, damage indicator method based on modal strain energy, probabilistic neural networks and the conventional neural networks using grouping technique are used and then the conventional neural network technique is utilized for damage assessment on the screened members in the second step. The proposed methods are verified through a field test on the northern-most span of old Hannam Grand Bridge.

• Structural Engineering and Mechanics
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• v.18 no.5
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• pp.609-626
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• 2004

The Land Transport Authority of Singapore has a continuing program of highway bridge upgrading, to refurbish and strengthen bridges to allow for increasing vehicle traffic and increasing axle loads. One subject of this program has been a short span bridge taking a busy highway across a coastal inlet near a major port facility. Experiment-based structural assessments of the bridge were conducted before and after upgrading works including strengthening. Each assessment exercise comprised two separate components; a strain and acceleration monitoring exercise lasting approximately one month, and a full-scale dynamic test carried out in a single day. This paper reports the application of extreme value statistics to estimate bridge live loads using strain measurements.