• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2000.06a
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• pp.825-830
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• 2000

In this article, the underwater radiated noise of the submerged cylindrical shell model is investigated using hull transfer functions which were defined in accordance with structureborne and airborne noise propagation paths. This method is very useful tool as the prediction of radiated noise from submerged structures in design stage. This approach is verified by experimental model and its measurement results.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.1264-1266
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• 2009

We introduce a location-based routing model applied for grid backbone nodes in wireless mesh network. The number of paths with nearest distance between two nodes is calculated and used as key parameter to execute routing algorithm. Node will increase the transmission range that makes a trade off with data rate to reach its neighbors when node itself is isolated. The routing model is lightweight and oriented thanks to the simple but efficient routing algorithm.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.1
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• pp.173-178
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• 2020

A multi-ray model has been used to interpret radio transmission losses in half-canyon structures with slope and to formulate a multi-ray propagation model depending on the angle of slopes. The cut-off angles for the third and fourth paths, which are the slope-sided reflection paths of the transmission and reception radio waves determined by the inclined angles of the slope, were calculated with the height and location of the transmitter and receiver. To predict transmission losses in an inclined plane environment, the embankment environment where the actual slope exists was modeled and simulated to calculate the loss of propagation transmission, and the radio wave transmission loss was confirmed by the measurement for the frequency band 1 to 6 GHz. Simulation results and measurement results showed similar trends in radio transmission loss, and radio transmission loss predictions and measurement results for various terrain information can be used in the design of radio propagation service.

• The Transactions of the Korea Information Processing Society
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• v.3 no.5
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• pp.1281-1293
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• 1996

In this paper, we propose a novel recognition model of on-line cursive Korean characters using HMM(Hidden Markov Model) and level building algorithm. The model is constructed as a form of recognition network with HMM for graphemes and Korean combination rules. Though the network is so flexible as to accomodate variability of input patterns, it has a problem of recognition speed caused by 11, 172 search paths. To settle the problem, we modify the level building algorithm to be adapted directly to the Korean combination rules and apply it to the model. The modified algorithm is efficient network search procedure time complexity of which depends on the number of HMMs for each grapheme, not the number of paths in the extensive recognition network. A test with 15, 000 hand written characters shows recognition rat 90% and speed of 0.72 second per character.

• KIISE Transactions on Computing Practices
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• v.22 no.1
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• pp.32-37
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• 2016

In model-based testing using sequence diagrams, test cases are automatically derived from the sequence diagrams. For the generation of test cases, scenarios need to be found for representing as a sequence diagram, and to extract test paths satisfying the test coverage. However, it is hard to automatically extract test paths from the sequence diagram because a sequence diagram represents loop, opt, and alt information using CombinedFragments. To resolve this problem, we propose a transformation process that transforms a sequence diagram into an activity diagram which represents scenarios as a type of control flows. In addition, we generate test cases from the activity diagram by applying a test coverage concept. Finally, we present a case study for test cases generation from a sequence diagram.

• Journal of Korean Academy of Nursing
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• v.52 no.4
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• pp.407-420
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• 2022

Purpose: This structural model study was constructed and verified a hypothetical model to examine the effects of parenting stress, social resources, family resources, and positive coping on resilience among mothers of children with developmental disabilities. Methods: Data were collected using self-report structured questionnaires, from October 19 to October 30, 2018, with 214 mothers caring for children with developmental disabilities under the age of 20 years. Results: In the fitness test results of the hypothesis model, with the fit index 𝛘² (p) = 69.27 (< .001), and the normed fit indices (𝛘² = 1.87, GFI = .94, CFI = .97, NFI = .93, and TLI = .95, RMSEA = .06, SRMR = .06), this study satisfies the good fitness in standards. There are seven statistically significant paths among the 10 paths set in the hypothetical model. The explanatory power of parenting stress and social resources, which affects the family resources was 41.4%, the explanatory power of parenting stress, social resources, and family resources affecting the positive coping was 58.9%, and the explanatory power of parenting stress, social resources, family resources, and positive coping affecting resilience was 55.5%. Conclusion: Positive coping, family resources, and social resources of mothers of children with developmental disabilities directly affect their resilience, and parenting stress indirectly affects it. Therefore, to improve the resilience of mothers of children with developmental disabilities, it is necessary to develop a systematic nursing intervention that considers parenting stress, social resources, family resources, and positive coping.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1405-1422
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• 2021

This study aimed to construct and test a hypothetical model to explain health-promoting behaviors among high school students in Korea. Data were collected from a self-administered questionnaire of 395 first-year to third-year students at a high school in Gyeonggi-do area. The exogenous variables of this study were family function, friend support, school life environment, and social capital of the local community, and endogenous variables were self-efficacy, self-regulation, and health-promoting behaviors. Data were analyzed by SPSS 21.0 and AMOS 22.0. The final model with 13 of the 9 analyzed paths showed a good fit to the empirical data: χ²/df=1.96, GFI=.90, AGFI=.88, CFI=.94, TLI=.93, RMSEA=.05, SRMR=.06. The variables included in these paths were family function (β=.57), self-efficacy (β=.29), self-regulation(β=.14), the social capital of local community (β=.14), and friend support (β=.13). The variables included in the nine significant paths explained 86% of variance in the explain model. Thus, it is necessary to build up a social support system for dysfunctional families and health-promoting behaviors of adolescents in the families and develop a program for creating the environment of the local community including schools.

• Journal of Institute of Control, Robotics and Systems
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• v.5 no.5
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• pp.593-599
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• 1999

A mobile robot in FMS environment should be able to nevigate itself. Therefore, path planning is necessary for the mobile robot to perform its tasks without being lost. Path planning using a network model gives oprimal paths to every pair of nodes but building this model demands accurate information of environments. In this paper, a method to build a network model using sonar sensors is presented. The main idea is to build a quad tree model by using sonar sensors and convert the model to a network model for path planning. The new method has been implemented on a mobile robot. Experimental results show that the mobile robot constructs an accurate network model using inaccurate sonar data.

• Computers and Concrete
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• v.9 no.4
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• pp.293-310
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• 2012

This paper discusses a new constitutive model called the high-rate brittle microplane (HRBM) model and also presents the details of a new software package called the Virtual Materials Laboratory (VML). The VML software package was developed to address the challenges of fitting complex material models such as the HRBM model to material property test data and to study the behavior of those models under a wide variety of stress- and strain-paths. VML employs Continuous Evolutionary Algorithms (CEA) in conjunction with gradient search methods to create automatic fitting algorithms to determine constitutive model parameters. The VML code is used to fit the new HRBM model to a well-characterized conventional strength concrete called WES5000. Finally, the ability of the new HRBM model to provide high-fidelity simulations of material property experiments is demonstrated by comparing HRBM simulations to laboratory material property data.

• International Journal of Highway Engineering
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• v.13 no.4
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• pp.1-8
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• 2011

The purpose of this study is to suggest the optimized transfer algorithm of earthwork considering the precluded area such as the lake, bogs. The earthwork transfer plan in massive cutting and banking should be established because of affecting the construction cost highly. Until now, there was the study about the optimized earthwork transfer model considering the OR(Operating Research). but isn't the study about the model considering the precluded area such as the lake, bogs. In most cases, the engineer adjusts the earthwork transfer path considering the precluded area, manually. The presented model suggests to calculate various visibility paths with $A^*$algorithm after converting the precluded area to polygon topology. By using this paths, the minimum cost path to optimize the earthwork transfer can be obtained. In this study, the validity of the model was proved as implementing the system for the optimized earthwork transfer considering the precluded area.