• Smart Structures and Systems
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• v.31 no.2
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• pp.101-111
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• 2023

Structural health monitoring (SHM) covers a range of damage detection strategies for buildings. In real-time, SHM provides a basis for rapid decision making to optimise the speed and economic efficiency of post-event response. Previous work introduced an SHM method based on identifying structural nonlinear hysteretic parameters and their evolution from structural force-deformation hysteresis loops in real-time. This research extends and generalises this method to investigate the impact of a wide range of flag-shaped or pinching shape nonlinear hysteretic response and its impact on the SHM accuracy. A particular focus is plastic stiffness (K_p), where accurate identification of this parameter enables accurate identification of net and total plastic deformation and plastic energy dissipated, all of which are directly related to damage and infrequently assessed in SHM. A sensitivity study using a realistic seismic case study with known ground truth values investigates the impact of hysteresis loop shape, as well as added noise, on SHM accuracy using a suite of 20 ground motions from the PEER database. Monte Carlo analysis over 22,000 simulations with different hysteresis loops and added noise resulted in absolute percentage identification error (median, (IQR)) in K_p of 1.88% (0.79, 4.94)%. Errors were larger where five events (Earthquakes #1, 6, 9, 14) have very large errors over 100% for resulted K_p as an almost entirely linear response yielded only negligible plastic response, increasing identification error. The sensitivity analysis shows accuracy is reduces to within 3% when plastic drift is induced. This method shows clear potential to provide accurate, real-time metrics of non-linear stiffness and deformation to assist rapid damage assessment and decision making, utilising algorithms significantly simpler than previous non-linear structural model-based parameter identification SHM methods.

• Journal of the Korean Association of Geographic Information Studies
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• v.4 no.1
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• pp.1-17
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• 2001

This research is primarily intended to develop a decision-making support system about the natural environment in the country by integrating various formats of spatial data into a comprehensive GIS database. The first part of the research is to design GIS database as a means of combining thematic cartographic data with field survey records. Ecosystem records acquired by a field sampling have been reproduced as digital thematic maps. The database also included various natural environment related data (map for forestry, soil, national park etc.) collected from many other agencies. The second part of the research is devoted to the design of efficient man-machine interfaces. A key concern in the GUI (graphic user interface) design process was to address the need to handle and to manage large databases by non-GIS experts. The system has been checked experimentally, enabled the users to quarry the data required simply and execute spatial analysis accommodating versatile alternatives in decision-making process. Detailed visual maps can be generated over large areas quickly and easily. The system will serve to increase the scientific and objective decision-making by overcoming serious constraints suffered from the past non-GIS-based approach. It is anticipated that this research output could be used as a valuable reference in building a nationwide natural environment GIS-DB (database) in the central and local governments.

• Convergence Security Journal
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• v.21 no.3
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• pp.75-80
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• 2021

This study provided personnel and recruitment information related to job offer and job hunting, and proposed a non-face-to-face platform that can facilitate matching of one-time services as well as periodic services. The existing recruitment and job search method for personal assistant of the disabled is a one-way matching method in which a person in charge of the service providing centers assigns an activity assistant belonging to the institution when a consumer requests an personal assistant service, so the choice of job seekers is very weak. The job matching platform of the activity assistant for the disabled can be logged in separately by dividing users and separating them into the interface of the disabled or the disabled family members (job seekers) and activity assistants for the disabled (job seekers). Search for job offer and job seekers that meet their respective conditions, and real-time bidirectional decision-making through the chat function, and when the activity assistance service is completed, recruiters and job seekers can write service reviews and evaluations from their own point of view. The real-time interactive decision-making matching platform will also help minimize blind spots where it is difficult to provide services when short-term or one-time assistance is needed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.3D
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• pp.295-306
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• 2008

The Intersection is inner traffic facilities and the space where the roads are intersected and connected. And also, the Intersection is the decision-making section for drivers to select the route according to the geometric structure and operation method. However decision-making section cause to raise car accidents rate because it imposes a heavy burden on drivers. In that reason, many countries such as Europe use the Roundabouts to reduce the numbers of decision making and collision. In Korea, the kinds of method are just introduced and it is using now but there are no exact standards. Hence, this study suggests the process to evaluate and determine the types of Intersection which are based on the traffic flow (congestion) and traffic safety (accidents). Firstly, this study presents the number of accident at each Intersection which is depended on the traffic volume. Secondly, this study calculates and analysis the accident at signalized Intersection, non-signalized Intersection and Roundabout by TSIS-NETSIM program. Thirdly, this study concludes the best suitable Intersection type through the materials which are mentioned before.

• Clinics in Shoulder and Elbow
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• v.19 no.2
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• pp.110-116
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• 2016

Background: Arthroscopic surgical repair is a better intervention than non-operative (conservative) treatment for patients with shoulder dislocations. This systematic review determined the numbers-needed-to-treat (NNT) and relative risk reduction (RRR) associated with arthroscopic surgical repair versus non-operative treatment in reducing recurrence rates among patients with first-time traumatic anterior shoulder dislocations. Methods: We searched Google Scholar, MEDLINE, SPORTDiscus, and CINAHL from inception in 2015. All articles had to compare arthroscopic surgical repair and non-operative treatment and be written in English. We used the total number of subjects and the number of recurrent dislocations within each treatment to calculate the NNT and RRR for each study and the pooled data. Results: Six articles were selected and all clearly demonstrated that the arthroscopic surgical repair was more effective than non-operative treatment in reducing the recurrence episodes. The pooled NNT was 1.76 (95% confidence interval [CI]=NNT to benefit 1.50-2.13) and the pooled RRR was 86.0% (95% CI=77.0%-92.0%) among individuals who underwent arthroscopic repair. The average follow-up time was 56 months. Conclusions: A Strength of Recommendation Taxonomy level of evidence of 1 with a grade A recommendation supports the use of arthroscopic surgical repair over non-operative treatment in prevention of first-time traumatic anterior shoulder dislocations. We suggest that sports medicine practitioners consider the patients' age, occupation, and physical activity level when making a clinical decision.

• Journal of Korea Water Resources Association
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• v.51 no.spc
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• pp.1135-1148
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• 2018

Previous studies on reservoir operation have been assumed that the climate in the future would be similar to that in the past. However, in the presence of climate non-stationarity, Robust Optimization (RO) which finds the feasible solutions under broader uncertainty is necessary. RO improves the existing optimization method by adding a robust term to the objective function that controls the uncertainty inherent due to input data instability. This study proposed Robust-SDP that combines Stochastic Dynamic Programming (SDP) and RO to estimate dam operation rules while coping with climate non-stationarity. The future inflow series that reflect climate non-stationarity were synthetically generated. We then evaluated the capacity of the dam operation rules obtained from the past inflow series based on six evaluation indicators and two decision support schemes. Although Robust-SDP was successful in reducing the incidence of extreme water scarcity events under climate non-stationarity, there was a trade-off between the number of extreme water scarcity events and the water scarcity ratio. Thus, it is proposed that decision-makers choose their optimal rules in reference to the evaluation results and decision support illustrations.

• International Journal of Contents
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• v.7 no.4
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• pp.84-89
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• 2011

General recognition on the role of a designer has differently changed according to the age and region respectively. This research has clarified general recognition on a designer's role among a designer, experts that designers mainly perform co-work and an ordinary people in a period when the design identity is more confused than any other time. The results of this research are as follows. First, the 13 definitions on a role of a designer in a company were identified through field interview survey by presidents and practical responsible persons in design-specialized companies. Second, it was proved whether there is a difference in recognition on a role of a designer between designers and non-designers. Third, this research divided a group of non-designers into two groups such as a design job-related group mainly performing co-work with designer, and an ordinary people's group that doesn't major design. After that, this research found out the most sympathizing definition on a role of a designer at a company in three groups divided into a designer's group, a design job-related group and an ordinary people's group. The awareness on the role of designer was more objectively regulated three-dimensionally in all aspects of a designers group and a non-designers group. In addition, the findings of recognition difference of each group on a designer's role will help comprehensive understanding on each experts group and an ordinary people. The findings of the research will help in performing co-work of designers and non-designers in design decisionmaking based on understanding of this recognition.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.349-352
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• 2008

Weather condition is the uncontrolled factor to influence the project duration. Determining non-working days due to it incorrectly leads to often change the project duration and increase the total cost as well as causing the dispute among stakeholders. When making decision of non-working days, it is important to consider the expert's experience according to the characteristic of the site and local area. Therefore this paper presented the method to estimate non-working days due to wether condition by using fuzzy numbers reflecting expert's subjective experience.

• Korean Journal of Acupuncture
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• v.33 no.3
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• pp.102-113
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• 2016

Objectives : This study is aimed at developing and discussing the prediction model of blood stasis pattern of traditional Korean medicine(TKM) using machine learning algorithms: multiple logistic regression and decision tree model. Methods : First, we reviewed the blood stasis(BS) questionnaires of Korean, Chinese, and Japanese version to make a integrated BS questionnaire of patient-reported outcomes. Through a human subject research, patients-reported BS symptoms data were acquired. Next, experts decisions of 5 Korean medicine doctor were also acquired, and supervised learning models were developed using multiple logistic regression and decision tree. Results : Integrated BS questionnaire with 24 items was developed. Multiple logistic regression models with accuracy of 0.92(male) and 0.95(female) validated by 10-folds cross-validation were constructed. By decision tree modeling methods, male model with 8 decision node and female model with 6 decision node were made. In the both models, symptoms of 'recent physical trauma', 'chest pain', 'numbness', and 'menstrual disorder(female only)' were considered as important factors. Conclusions : Because machine learning, especially supervised learning, can reveal and suggest important or essential factors among the very various symptoms making up a pattern identification, it can be a very useful tool in researching diagnostics of TKM. With a proper patient-reported outcomes or well-structured database, it can also be applied to a pre-screening solutions of healthcare system in Mibyoung stage.

• 한국방재학회:학술대회논문집
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• 2007.02a
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• pp.267-270
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• 2007

In order to reduce flood damage with debris flow, it is necessary to build up comprehensive flood control, including structural and non-structural countermeasures. In this paper, the decision making factors of individual refuge activities which are major non-structural activities to save peoples, lives against flood have been estimated based on questionnaire survey. Furthermore, in order to effective debris flow countermeasures, its simulation has carried out and it will useful for minimizing their damages.