• Journal of dental hygiene science
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• v.23 no.2
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• pp.69-87
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• 2023

Background: Swallowing function deterioration is a common problem experienced by older adults worldwide. Many studies have been conducted to improve swallowing function in older adults; however, due to differences in intervention methods and study designs, it is difficult to draw a common conclusion. This study aimed to analyze trends and intervention methods in studies of swallowing function intervention for older adults conducted from 2010 to 2022, to establish a systematic approach for developing interventions to improve swallowing function in older adults and to provide evidence for this approach. Methods: Literature research was conducted for studies published between 2010 and 2022 that applied to swallow function interventions to adults aged 60 years or older. Databases including PubMed, Medline, RISS, Science On, KISS, and KCI were used. From a total of 1,164 articles searched using keywords, 20 articles were selected for final analysis. Results: The number of published articles steadily increased over time, and the intervention period was most commonly 6 or 8 weeks. The types of interventions included focused exercises to improve oral muscle strength in 12 articles and programs incorporating education, practice, and expert management in 8 articles. Among the focused exercises, tongue-strengthening exercises were most common in 4 articles. The evaluation variables for intervention effects were muscle strength evaluation, oral function evaluation, quality of life, and oral health and hygiene status. Muscle strength and oral function evaluations were statistically significant in focused exercise interventions, while the quality of life and oral health and hygiene status was significant in program interventions. Conclusion: This literature review is meaningful as a study that can be used to select the intervention period and program contents when planning an elderly swallowing intervention program.

• Journal of Information Processing Systems
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• v.15 no.2
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• pp.422-432
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• 2019

A hybrid kernel function of support vector machine is proposed to improve the classification performance of power quality disturbances. The kernel function mathematical model of support vector machine directly affects the classification performance. Different types of kernel functions have different generalization ability and learning ability. The single kernel function cannot have better ability both in learning and generalization. To overcome this problem, we propose a hybrid kernel function that is composed of two single kernel functions to improve both the ability in generation and learning. In simulations, we respectively used the single and multiple power quality disturbances to test classification performance of support vector machine algorithm with the proposed hybrid kernel function. Compared with other support vector machine algorithms, the improved support vector machine algorithm has better performance for the classification of power quality signals with single and multiple disturbances.

• Journal of the Korean Society of Physical Medicine
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• v.6 no.2
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• pp.119-126
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• 2011

Purpose: The purpose of this study was to confirm whether the Swiss Ball exercise program is effective to improve lower extremity function and activity of daily living of elderly women with mild cognitive impairment (MCI). Methods: This study was a double blind control study. Subjects participated 34 female elderly women who were assigned to exercise group (n=17) and control group (n=17). The Swiss Ball exercise program was performed 2 times a week during the 12 weeks. Pre-and post-exercise various measurements were made: lower extremity function (OLS, TUG, STS). Results: In exercise group, There showed statically significance improve between pre-and post-exercise in OLS (7.29${\pm}$1.10 and 7.64${\pm}$1.32), TUG (10.47${\pm}$2.03 and 10.05${\pm}$2.04), STS (7.71${\pm}$1.04 and 7.94${\pm}$.82)(p<.05). ADL also showed statically significance improve between pre-and post-exercise (13.76${\pm}$3.54 and 12.82${\pm}$3.39, p<.05). There showed statically significance difference between two groups (p<.05). Conclusion: The Swiss Ball exercise program improved lower extremity function and ADL of elderly women with MCI. Further studies are required to examine the significance of the assessment of motor function of lower extremities.

• Structural Engineering and Mechanics
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• v.55 no.6
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• pp.1157-1176
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• 2015

This study presents optimizing structural topology patterns using regularization of Heaviside function. The present method needs not filtering process to typical SIMP method. Using the penalty formulation of the SIMP approach, a topology optimization problem is formulated in co-operation, i.e., couple-signals, with design variable values of discrete elements and a regularized Heaviside step function. The regularization of discontinuous material distributions is a key scheme in order to improve the numerical problems of material topology optimization with 0 (void)-1 (solid) solutions. The weak forms of an equilibrium equation are expressed using a coupled regularized Heaviside function to evaluate sensitivity analysis. Numerical results show that the incorporation of the regularized Heaviside function and the SIMP leads to convergent solutions. This method is tested using several examples of a linear elastostatic structure. It demonstrates that improved optimal solutions can be obtained without the additional use of sensitivity filtering to improve the discontinuous 0-1 solutions, which have generally been used in material topology optimization problems.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.815-821
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• 2005

Among the various artificial neural networks the backpropagation network (BPN) has become a standard one. One of the components in a neural network is an activating function or a transfer function of which a representative function is a sigmoid. We have discovered that by updating the slope parameter of a sigmoid function simultaneous with the weights could improve performance of a BPN.

• Journal of Electrical Engineering and Technology
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• v.5 no.4
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• pp.597-605
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• 2010

This paper presents a contribution to parameter identification of a non-linear system using a new strategy to improve the genetic algorithm (GA) method. Since cost function plays an important role in GA-based parameter identification, we propose to improve the simple version of GA, where weights of the cost function are not taken as constant values, but varying along the procedure of parameter identification. This modified version of GA is applied to the induction motor (IM) as an example of nonlinear system. The GA cost function is the weighted sum of stator current and rotor speed errors between the plant and the model of induction motor. Simulation results show that the identification method based on improved GA is feasible and gives high precision.

• Journal of Korean Physical Therapy Science
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• v.19 no.4
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• pp.35-40
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• 2012

Background : The purpose of this study is to provide the basic data. Elderly cognitive identify the difference between dynamic balance and quality of life according to the performance level of the clinical exercise therapy and cognitive training. Methods : This study was conducted to collect data from October 17th in 2011 until October 28th, to target seniors who living in Yong-in, Gyeonggi-do. Results : The results of the statistical analysis according to the cognitive ability to function. Higher cognitive functions, the dynamic balance ability was higher, and higher quality of life. Also showed that the dynamic balance ability and a high quality of life to the higher cognitive functions(p<.05). Conclusion : For the maintenance and promotion of cognitive function in the elderly, physical therapy approach seems to improve the quality of life and still plays an important role, as well as the promotion of dynamic balance ability. Therefore, to improve cognitive function is thought to be the appropriate intervention methods and approaches to be developed.

• ETRI Journal
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• v.41 no.2
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• pp.207-223
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• 2019

Network function virtualization can significantly improve the flexibility and effectiveness of network appliances via a mapping process called service function chaining. However, the failure of any single virtualized network function causes the breakdown of the entire chain, which results in resource wastage, delays, and significant data loss. Redundancy can be used to protect network appliances; however, when failures occur, it may significantly degrade network efficiency. In addition, it is difficult to efficiently map the primary and backups to optimize the management cost and service reliability without violating the capacity, delay, and reliability constraints, which is referred to as the reliability-aware service chaining mapping problem. In this paper, a mixed integer linear programming formulation is provided to address this problem along with a novel online algorithm that adopts the joint protection redundancy model and novel backup selection scheme. The results show that the proposed algorithm can significantly improve the request acceptance ratio and reduce the consumption of physical resources compared to existing backup algorithms.

• Journal of IKEEE
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• v.25 no.4
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• pp.728-734
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• 2021

In recent years, there has been a strong interest in the end-to-end autonomous driving based on deep reinforcement learning. In this paper, we present a reward function of latent SAC deep reinforcement learning to improve the longitudinal driving performance of an agent vehicle. While the existing reward function significantly degrades the driving safety and efficiency, the proposed reward function is shown to maintain an appropriate headway distance while avoiding the front vehicle collision.

• Kyungpook Mathematical Journal
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• v.50 no.3
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• pp.345-355
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• 2010

In this paper, we investigate uniqueness problems of meromorphic functions sharing a small function with their differential polynomials, and give some results which are related to a conjecture of R. Br$\"{u}$ck, and also improve several previous results.