• International Journal of Advanced Culture Technology
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• v.7 no.1
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• pp.14-19
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• 2019

Stress affects the type of adaptation required for each case and the type of social support is also different. In order for social support to have a buffer effect on stress, we want to understand how to measure social support and support according to specific stress situations. Therefore, this study examines coping behaviors of community service workers exposed to these job stresses and examines the effect of support system (family support, peer support, superior support) on coping behavior. The purpose of this study is to investigate the effects of stress, coping resources and coping behaviors of community service workers. In this study, self - report method was used to investigate the questionnaire using structured questionnaires. In this study, the statistical program was used for data analysis and hierarchical regression analysis.

• Communications for Statistical Applications and Methods
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• v.26 no.2
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• pp.175-189
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• 2019

The problem of the estimation of quantitative sensitive variable using the item sum technique (IST) on successive occasions has been discussed. IST difference, IST regression, and IST general class of estimators have been proposed to estimate quantitative sensitive variable at the current occasion in two occasion successive sampling. The proposed new estimators have been elaborated under Trappmann et al. (Journal of Survey Statistics and Methodology, 2, 58-77, 2014) as well as Perri et al. (Biometrical Journal, 60, 155-173, 2018) allocation designs to allocate long list and short list samples of IST. The properties of all proposed estimators have been derived including optimum replacement policy. The proposed estimators have been mutually compared under the above mentioned allocation designs. The comparison has also been conducted with a direct method. Numerical applications through empirical as well as simplistic simulation has been used to show how the illustrated IST on successive occasions may venture in practical situations.

• Journal of the Semiconductor & Display Technology
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• v.20 no.1
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• pp.83-87
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• 2021

By the increase of internet usage, communicating online became an everyday thing. Thereby various people have experienced profanity by anonymous users. Nowadays lots of studies tried to solve this problem using artificial intelligence, but most of the solutions were for non-real time situations. In this paper, we propose a Telegram plugin that detects swear words using word2vec, and an algorithm to find the target of the sentence. We vectorized the input sentence to find connections with other similar words, then inputted the value to the pre-trained CNN (Convolutional Neural Network) model to detect any swears. For target recognition we proposed a sequential algorithm based on KoNLPY.

• Journal of Drive and Control
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• v.18 no.4
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• pp.59-64
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• 2021

In this paper, a mathematical pressure dynamics model for a variable thrust solid propulsion system with an electric actuator was derived from the mass conservation of gas. To solve the problem induced by modeling uncertainties in the propellant model and the dead zone of the actuator, a nonlinear pressure controller combined with a nonlinear disturbance observer was designed using a mathematical model of the system. The simulation results showed that the proposed pressure controller could reduce tracking errors compared to another conventional nonlinear controller even in situations where input disturbances were present.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.157-161
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• 2023

Reliability is one of the computable quality features of the software. To assess the reliability the software reliability growth models(SRGMS) are used at different test times based on statistical learning models. In all situations, Tradational time-based SRGMS may not be enough, and such models cannot recognize errors in small and medium sized applications.Numerous traditional reliability measures are used to test software errors during application development and testing. In the software testing and maintenance phase, however, new errors are taken into consideration in real time in order to decide the reliability estimate. In this article, we suggest using the Weibull model as a computational approach to eradicate the problem of software reliability modeling. In the suggested model, a new distribution model is suggested to improve the reliability estimation method. We compute the model developed and stabilize its efficiency with other popular software reliability growth models from the research publication. Our assessment results show that the proposed Model is worthier to S-shaped Yamada, Generalized Poisson, NHPP.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.881-885
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• 2005

Scheduling repetitive projects under limitations on the amounts of available resources (labor and equipment) has been an active subject because of its practical relevance. Traditionally, the limitation is specified as a deterministic (fixed) number, such as 1000 labor-hours. The limitation, however, is often exposed to uncertainty and variability, especially when the project is lengthy. This paper presents a stochastic optimization model to treat the situations where the limitations of resources are expressed as probability functions in lieu of deterministic numbers. The proposed model transfers each deterministic resource constraint into a corresponding stochastic one and then solves the problem by the use of a chance-constrained programming technique. The solution is validated by comparison with simulation results to show that it can satisfy the resource constraints with a probability beyond the desired confidence level.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.605-607
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• 2021

본 논문에서는 지형 API를 활용해 사용자와 병원들의 위치를 들로네 삼각화로 그래프를 구성하고, 교통정보를 기반으로 사용자에게 최적의 경로를 알려주는 새로운 길 찾기 알고리즘을 제안한다. 경로를 분석하는 과정에서 교통정보를 활용하여 최단 시간이 걸리는 구간을 알려주어 전체적인 처리 시간을 최소화한다. 또한, 본 논문에서는 교통정보와 지형 API를 기반으로 들로네 삼각화를 구성하고, 구성된 간선을 기반으로 최적화 문제를 풀어냄으로써, 사용자에게 최적의 경로를 알려준다.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.583-587
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• 2015

Scenario-based learning (SBL) has been used in a variety of training situations across different disciplines. Despite its seemly widespread use in construction management discipline, very few attempts have been made to explore its effectiveness and the respective students' learning experience. Using a survey research design, this study aims to investigate students' perceptions on SBL approach in construction management courses. The specific objectives are: (i) to identify the characteristics of a favourable SBL environment, and (ii) to explore the students' learning experience and effectiveness of the SBL approach. The results show that the four characteristics of a favourable SBL environment are: effective team formulation, constant engagement with lecturer, working in a group, and incorporation of motivational incentive for participation. The students really appreciated the opportunities to apply concepts learnt in the lectures in their SBL group work. Also, they perceived that the SBL approach is effective in developing their reflective and critical thinking skills, analytic and problem-solving skills and their ability to work as a team. These findings should facilitate more critical approaches to similar form of teaching methods.

• Journal of the HCI Society of Korea
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• v.8 no.2
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• pp.1-8
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• 2013

In previous study, we developed a guidance system outdoors for person with visual impairment to be able to walk safely to the destination. The volunteers are exposed to dangerous situations since they are performed to the experiments in the outdoors. In order to solve the problem, we propose an interactive application that monitors the volunteer wearing guidance system and warns remotely the volunteer about dangerous situations. The application is used to remote wireless communication with guidance system through Bluetooth module that is built in a laptop computer, without additional device. Therefore, we can monitor in real time user's location and guided contents to user, and it is possible to check a path to the destination and POI (Point of Interest) coordinate values. As using a proposed monitoring application, it is possible to perform safe experiment with the rapid situation awareness and fast detection of dangerous.

• The Korean Journal of Applied Statistics
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• v.31 no.3
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• pp.383-396
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• 2018

Various parallel processing R packages are used for fast processing and the analysis of big data. Parallel processing is used when the work can be decomposed into tasks that are non-interdependent. In some cases, each task decomposed for parallel processing can also be decomposed into non-interdependent subtasks. We have to choose whether to parallelize the decomposed tasks in the first step or to parallelize the subtasks in the second step when facing nested parallelism situations. This choice has a significant impact on the speed of computation; consequently, it is important to understand the nature of the work and decide where to do the parallel processing. In this paper, we provide an idea of how to apply parallel computing effectively to problems by illustrating how to select a parallelism point for the bandwidth selection of nonparametric regression.