• Earthquakes and Structures
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• v.22 no.5
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• pp.487-502
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• 2022

China is prone to earthquake disasters, and the higher seismic performance is required by many existing civil buildings. And seismic evaluation and retrofit are effective measures to mitigate seismic hazards. With the development of performance-based seismic design and diverse retrofit technology for buildings, advanced evaluation methods and retrofit strategies are in need. In this paper, we introduced the evolution of seismic performance objectives in China combined with performance-based seismic design. Accordingly, multi-phase evaluation methods and comprehensive seismic capacity assessment are introduced. For buildings with seismic deficiency or higher performance requirements, the retrofit technologies are categorized into three types: component strengthening, system optimization, and passive control. Both engineering property and social property for the retrofit methods are discussed. The traditional seismic retrofit methods usually are costly and disturbing, and for example in Beijing, seismic strengthening costs approx. 1000 RMB/m² (for 160 USD/m²), for hospital building even more expensive as 5000 RMB/m²(for 790 USD/m²). So cost-efficient and little disturbance methods are promising techniques. In the end, some opinions about the retrofit strategy and schemes category are shared and wish to discuss the situation and future of seismic retrofit in China.

• Korean Journal of Occupational Therapy
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• v.26 no.4
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• pp.27-41
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• 2018

Objective : This study implemented occupation-based practice as a group program for children with neurodevelopmental disabilities, and investigated the quality of occupational performance, performance and satisfaction, and efficacy levels of the program. Methods : ADOC-S(Aid for Decision making in Occupation Choice-School) and COPM(Canadian Occupational Performance Measure) were used to establish common meaningful occupational goals for 10 children with neurodevelopmental disabilities. After occupational analysis of the 'subway use', the Performance Quality Rating Scale(PQRS) were used to evaluate the quality of occupational performance. Occupation-based interventions were implemented by participants individually performing meaningful occupations in the most natural and real-life environments as possible. The trial consisted of 1 session of pre-intervention assessments, 8 sessions of intervention, where a single session of 100 minutes is provided once a week. Post-intervention evaluation was conducted over one session. Results : The quality of occupational performance by PQRS was 38.10 higher than before intervention. The occupation-based intervention as a group program used the maintain and modify(compensation, adaptation) approaches and acquisition model. In the early stages of intervention (1 to 4 sessions), the occupational performance was greatly improved. The performance level of COPM increased by 5.80 and the satisfaction level was increased by 7.00. In addition, high scores were found in program satisfaction through parental interview. Conclusion : The results of implementing occupation-based interventions to children with neurodevelopmental disabilities showed increase in quality of occupational performance, performance, and satisfaction along with positive effects of satisfaction levels for the program.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.3
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• pp.198-207
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• 2012

In product or process parameter design, the case of multiple performance characteristics appears more commonly than that of a single characteristic. Numerous methods have been developed to deal with such multi-characteristic parameter design (MCPD) problems. Among these, this paper considers three representative methods, which are respectively based on the desirability function (DF), grey relational analysis (GRA), and principal component analysis (PCA). These three methods are then used to solve the MCPD problems in ten case studies reported in the literature. The performance of each method is evaluated for various combinations of its algorithmic parameters and alternatives. Relative performances of the three methods are then compared in terms of the significance of a design parameter and the overall performance value corresponding to the compromise optimal design condition identified by each method. Although no method is significantly inferior to others for the data sets considered, the GRA-based and PCA-based methods perform slightly better than the DF-based method. Besides, for the PCA-based method, the compromise optimal design condition depends much on which alternative is adopted while, for the GRA-based method, it is almost independent of the algorithmic parameter, and therefore, the difficulty involved in selecting an appropriate algorithmic parameter value can be alleviated.

• Physical Therapy Korea
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• v.12 no.4
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• pp.1-6
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• 2005

Community-based group exercise programs for people with chronic stroke are relatively uncommon in Korea. In addition, it is currently not known whether a community-based group exercise program is effective or not. The purpose of this study was to evaluate an 8 week community-based functional exercise program for its effects on balance performance and occupational performance in persons with chronic stroke. Twenty-five community-dwelling individuals with stroke participated in this program. Outcome of the program was assessed by the Berg Balance Scale and the Canadian Occupational Performance Measure (COPM). The functional exercise program lasted for eight weeks, with a 1-hour program twice per week and it consisted of mobility, stability, balance, functional strength, and gait training. The subjects were trained by one physical therapist but were under one-to-one supervision from students. The data of sixteen individuals who scored more than 24 on the Mini-Mental State Examination (MMSE) were analyzed. There was a significant effect both in terms of the COPM Performance Score & the Satisfaction Score (p=.002) and with the Berg Balance Score (p=.001). It was found that a short-term community-based exercise program could improve both performance of activities and balance. Further, all subjects reported that they were satisfied with this program.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.451-459
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• 2013

The purpose of this paper is to investigate the role of the internet based deviant behavior of smart phone during work hours on performance and the antecedents to deviant behavior mechanism. To do this, this paper proposes a theoretical model consisting of factors such as internet-based deviant behavior, work performance and intention, habit as it's influencing factors. It was analyzed via a survey of employees using smart phone at workplace. The results of this empirical study is summarized as followings. First, internet-based deviant behavior using smart phone has a negative effect on work performance. Second, intention and habit toward internet-based deviant behavior using smart phone are identified as the determinants of it's behavior. The findings have significant implications for the framework of internet-based deviant behavior using smart phone in the workplace.

• Journal of Internet Computing and Services
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• v.5 no.6
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• pp.1-10
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• 2004

A web robot is a software that has abilities of tracking and collecting web documents on the Internet(l), The performance scalability of recent web robots reached the limit CIS the number of web documents on the internet has increased sharply as the rapid growth of the Internet continues, Accordingly, it is strongly demanded to study on the performance scalability in searching and collecting documents on the web. 'Design of web robot based on Multi-Agent to speed up documents collection ' rather than 'Sequentially executing Web Robot based on the existing Fork-Join method' and the results of analysis on its performance scalability is presented in the thesis, For collection speedup, a Multi-Agent based web robot performs the independent process for inactive URL ('Dead-links' URL), which is caused by overloaded web documents, temporary network or web-server disturbance, after dividing them into each agent. The agents consist of four component; Loader, Extractor, Active URL Scanner and inactive URL Scanner. The thesis models a Multi-Agent based web robot based on 'Amdahl's Law' to speed up documents collection, introduces a numerical formula for collection speedup, and verifies its performance improvement by comparing data from the formula with data from experiments based on the formula. Moreover, 'Dynamic URL Partition algorithm' is introduced and realized to minimize the workload of the web server by maximizing a interval of the web server which can be a collection target.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.2824-2837
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• 2019

Container technologies are widely used in infrastructures to deploy and manage applications in cloud computing environment. As containers are light-weight software, the cluster of cloud applications can easily scale up or down to provide Internet-based services. Container-based applications can well deal with fluctuate workloads by dynamically adjusting physical resources. Current works of scheduling applications often construct applications' performance models with collected historical training data, but these works with static models cannot self-adjust physical resources to meet the dynamic requirements of cloud computing. Thus, we propose a self-adaptive automatic container scheduling framework AutoScale for cloud applications, which uses a feedback-based approach to adjust physical resources by extending, contracting and migrating containers. First, a queue-based performance model for cloud applications is proposed to correlate performance and workloads. Second, a fuzzy Kalman filter is used to adjust the performance model's parameters to accurately predict applications' response time. Third, extension, contraction and migration strategies based on predicted response time are designed to schedule containers at runtime. Furthermore, we have implemented a framework AutoScale with container scheduling strategies. By comparing with current approaches in an experiment environment deployed with typical applications, we observe that AutoScale has advantages in predicting response time, and scheduling containers to guarantee that response time keeps stable in fluctuant workloads.

• The Journal of Information Systems
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• v.26 no.4
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• pp.1-15
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• 2017

Purpose Through the provision of real time performance information about who is contributing and who is not in Electronic Brainstorming, prior studies evidenced a significant performance gain. However, it has been observed that the quantity-based performance feedback alone does not have enough restrictiveness to guide the performance behavior throughout the idea generation session. We included the notion of goal setting into the process performance feedback mechanism in an effort to regulate performance behavior and to better understand why individuals in Electronic Brainstorming are not obtaining enough stimulation benefits in the group interaction process. Design/methodology/approach We had developed real-time visual process performance feedback and modified to include goal setting. This mechanism visually displays individuals' performances two-dimensionally (quality for each idea vertically and quantity of ideas horizontally along with their goals). As individuals' contributions accumulate, the mechanism reveals performance histories by connecting the sequence of ideas in a time-series format, telling stories of individuals' performances. Then, we compared the performance outcome from this study with the outcomes from two prior studies (i.e., Jung et al., 2010 and Jung, 2014). Findings The results showed that the inclusion of goal setting into the process performance feedback solved the issue in the previous study. That was the lower than expected magnitude of performance enhancement of process performance feedback when compared to that of quantity-based feedback. It appears that goals as a motivational technique provide standards for systematic self-evaluation, serving as a cue to regulate performance behavior by strengthening the linkage between effort and performance. Thus, goals seem to set up a self-fulfilling prophecy, preconditioning better performance. However, the outcome still showed that its performance magnitude is unsatisfactory because the outcome of this study turned out to be close to the outcome of just quantity-based performance feedback in Jung et al.'s (2010) study.

• Fire Protection Technology
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• s.27
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• pp.40-45
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• 1999

• Korean Architects
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• s.478
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• pp.76-81
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• 2009