• Journal of the Korea Society of Computer and Information
• /
• v.14 no.9
• /
• pp.11-19
• /
• 2009

A RAM-based Neural Net(RBNN) which has multi-discriminators is more effective than RBNN with a discriminator. Experience Sensitive Cumulative Neural Network and 3-D Neuro System(3DNS) that accumulate the features point improved the performance of BNN, which were enabled to train additional and repeated patterns and extract a generalized pattern. In recognition process of Neural Net with multi-discriminator, the selection of class was decided by the value of MRD which calculates the accumulated sum of each class. But they had a saturation problem of its memory cells caused by learning volume increment. Therefore, the decision of MRD has a low performance because recognition rate is decreased by saturation. In this paper, we propose the method which improve the MRD ability. The method consists of the optimum MRD and the matching ratio prototype to generalized image, the cumulative filter ratio, the gap of prototype response MRD. We experimented the performance using NIST database of NIST without preprocessor, and compared this model with 3DNS. The proposed MRD method has more performance of recognition rate and more stable system for distortion of input pattern than 3DNS.

• Journal of Korean Foot and Ankle Society
• /
• v.26 no.1
• /
• pp.22-29
• /
• 2022

Purpose: Despite continuous updates of standard treatment guidelines for acute ankle sprain and chronic ankle instability (CAI), in practice preferred treatment protocols vary widely. Based on a Korean Foot and Ankle Society (KFAS) member survey, this study reports current trends in the management of ankle ligament injuries. Materials and Methods: A web-based questionnaire containing 34 questions was sent to all KFAS members in September 2021. Questions mainly addressed clinical experience and preferences for the diagnosis and treatment of ankle ligament injuries. Answers with a prevalence of ≥50% among respondents were considered to reflect tendencies. Results: Eighty-four of the 550 members (15.3%) responded. Answers that showed a tendency were as follows: commonest additional image study (ultrasound), conservative treatment modality (immobilization, oral medication), frequency of surgical treatment (<5 cases per annum), most important factor when deciding on surgical treatment (activity level, e.g., occupation or sport), and commonest surgical procedure (open ligament repair). Answers that showed a tendency for CAI were as follows: most important symptom (repeated sprain, giving way), radiological factors (talar tilt, osteochondral lesion, anterior talar translation), and patient factors (occupation, sports activities, recurrent instability after surgery, etc.). For decision making regarding surgical treatment and method, the most preferred surgical procedure was the modified Broström procedure, and the most common repair technique was suture anchor technique. The following were considered poor prognostic factors; generalized laxity, failed previous surgery, cavovarus, severe mechanical instability, heavy work, obesity, and dissatisfaction after surgery because of residual pain. Conclusion: This study updates information regarding current trends in the management of ankle ligament injuries in Korea, and reveals consensus opinions and variations in approaches to patients with an acute or chronic injury. The divergence of approaches identified indicates the need for further studies to determine standard guidelines and long-term results.

• Therapeutic Science for Rehabilitation
• /
• v.11 no.1
• /
• pp.87-99
• /
• 2022

Objective : Through the application of the Anderson model, this study provides an empirical analysis of the decision-making factors for participation in cognitive improvement programs for the elderly living in the community. Methods : This study was conducted through an online survey. The participants were elderly people aged 65 years or older living in the community. The survey had 154 participants and was conducted over a two-month period from August to September 2020. Results : The main results of this study were as follow: first, there was no correlation between the predisposing factors and cognitive improvement program; second, among the enabling factors, diversity, interest, and effectiveness of the program were correlated with the cognitive improvement program; and third, there was no correlation between participation in the cognitive improvement program and need factors. Conclusion : This study shows that the results of basic information and evidence will be identified through analysis of the results of the study and that the implications for the development of cognitive improvement programs will be obtained in the future.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.42 no.2
• /
• pp.249-256
• /
• 2022

Various studies are being actively conducted to show that the real-time visualization technology that combines BIM (Building Information Modeling) and AR (Augmented Reality) helps to increase construction management decision-making and processing efficiency. However, when large-capacity BIM data is projected into AR, there are various limitations such as data transmission and connection problems and the image cut-off issue. To improve the high efficiency of visualizing, a mesh optimization algorithm based on the k-nearest neighbors (KNN) classification framework to reconstruct BIM data is proposed in place of existing mesh optimization methods that are complicated and cannot adequately handle meshes with numerous boundaries of the 3D models. In the proposed algorithm, our target BIM model is optimized with the Unity C# code based on triangle centroid concepts and classified using the KNN. As a result, the algorithm can check the number of mesh vertices and triangles before and after optimization of the entire model and each structure. In addition, it is able to optimize the mesh vertices of the original model by approximately 56 % and the triangles by about 42 %. Moreover, compared to the original model, the optimized model shows no visual differences in the model elements and information, meaning that high-performance visualization can be expected when using AR devices.

• Korean Journal of Schizophrenia Research
• /
• v.22 no.2
• /
• pp.21-33
• /
• 2019

Objectives: The current study covers a secondary revision of the guidelines for the pharmacotherapy of schizophrenia issued by the Korean Medication Algorithm for Schizophrenia (KMAP-SCZ) 2001, specifically for co-existing symptoms and antipsychotics-related side-effects in schizophrenia patients. Methods: An expert consensus regarding the strategies of pharmacotherapy for positive symptoms of schizophrenia, co-existing symptoms of schizophrenia, and side-effect of antipsychotics in patients with schizophrenia was retrieved by responses obtained using a 30-item questionnaire. Results: For the co-existing symptoms, agitation could be treated with oral or intramuscular injection of benzodiazepine or antipsychotics; depressive symptoms with atypical antipsychotics and adjunctive use of antidepressant; obsessive-compulsive symptoms with selective serotonin reuptake inhibitors and antipsychotics other than clozapine and olanzapine; negative symptoms with atypical antipsychotics or antidepressants; higher risk of suicide with clozapine; comorbid substance abuse with use of naltrexone or bupropion/varenicline, respectively. For the antipsychotics-related side effects, anticholinergics (extrapyramidal symptom), propranolol and benzodiazepine (akathisia), topiramate or metformin (weight gain), change of antipsychotics to aripiprazole (hyperprolactinemia and prolonged QTc) or clozapine (tardive dyskinesia) could be used. Conclusion: Updated pharmacotherapy strategies for co-existing symptoms and antipsychotics-related side effects in schizophrenia patients as presented in KMAP-SCZ 2019 could help effective clinical decision making of psychiatrists as a preferable option.

• Korea Trade Review
• /
• v.41 no.3
• /
• pp.135-156
• /
• 2016

This study, with reference to data on economic conditions in Shandong Province, China, looked into trade and investment activities in Korea and major cities of Shandong - Qingdao, Yantai, Weihai and Jinan - and investigated claim cases between the two countries by type. In addition, we investigated the matter empirically by conducting a survey administered to 300 Korean companies investing in Shandong Province and, based on the data, tested hypotheses for inferential analysis. The findings are as follows: i) while hypotheses in which the size of a firm, represented by import and export volume, has a positive relation with the frequency of trade claim filings (H1) and with the financial value of the trade claims (H2) were quoted, company size proved to have a significantly negative relation with the time required to obtain a claim decision, which rejects the third hypothesis (H3) in which the relation was thought to be positive: ii) while products, as represented by the type of business, showed a clearly significant difference with the frequency of trade claim filings (H4) and with methods of preventing and responding to claims (H6), they did not show a significant link to the type of trade claim (H5). This study is a theoretical and empirical overview of Korean companies based in Shandong Province of China, and can be used to address the practical needs of the Korean companies looking to start business in Shandong Province.

• Korean Journal of Heritage: History & Science
• /
• v.56 no.1
• /
• pp.162-180
• /
• 2023

The World Heritage Committee decided to make "cultural landscapes" a world heritage category in the 16th Session of the UNESCO General Conference. The decision was made from a recognition of the importance of interactions between human beings and the natural environment or between cultural heritage and natural heritage. Many countries have created policies and institutions to protect their own cultural landscapes along with the changing times. Korea, however, has not obviously defined the concepts and categories of its cultural landscapes, but manages policies and institutions based on the concept of a scenic spot, which has some similar meanings. In addition, it even borrows the "list of landscape adjectives," one of the representative methods for managing landscapes, from foreign countries. With this background, this paper suggested how to define cultural landscapes according to the global development flow. It created a list of cultural landscape adjectives by gathering the adjectives that can properly express local cultural landscapes in Korea. In particular, it collected 4,556 articles from a local newspaper by focusing on the case of Shinan-gun, Jeollanam-do, and analyzed key words and adjectives included in them by using big data analysis. The results suggested by this paper, such as the "classification table of cultural landscape types," "list of cultural landscape adjectives" and "network map of nouns/adjectives" can be applied to research on other localities, and furthermore, used as basic data for finding and protecting the characteristics of local cultural landscapes in Korea.

• The Journal of Bigdata
• /
• v.7 no.1
• /
• pp.213-224
• /
• 2022

In logistics and distribution, Market Basket Analysis (MBA) is used as an important means to analyze the correlation between major sales products and to increase internal operational efficiency. In particular, the results of market basket analysis are used as important reference data for decision-making processes such as product purchase prediction, product recommendation, and product display structure in stores. With the recent development of e-commerce, the number of items handled by a single distribution and logistics company has rapidly increased, And the existing analytical methods such as Apriori and FP-Growth have slowed down due to the exponential increase in the amount of calculation and applied to actual business. There is a limit to examining important association rules to overcome this limitation, In this study, at the Main-Category level, which is the highest classification system of products, the utility item set mining technique that can consider the sales volume of products together was used to first select a group of products mainly sold together. Then, at the sub-category level, the types of products sold together were identified using FP-Growth. By using this sequential layer filtering technique, it may be possible to reduce the unnecessary calculations and to find practically usable rules for enhancing the effectiveness and profitability.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.28 no.2B
• /
• pp.225-236
• /
• 2008

The techniques to calculate the probability precipitation for the design of hydrological projects can be determined by the point frequency analysis and the regional frequency analysis. Probability precipitation usually calculated by point frequency analysis using rainfall data that is observed in rainfall observatory which is situated in the basin. Therefore, Probability precipitation through point frequency analysis need observed rainfall data for enough periods. But, lacking precipitation data can be calculated to wrong parameters. Consequently, the regional frequency analysis can supplement the lacking precipitation data. Therefore, the regional frequency analysis has weaknesses compared to point frequency analysis because of suppositions about probability distributions. In this paper, rainfall observatory in Korea did grouping by cluster analysis using position of timely precipitation observatory and characteristic time rainfall. Discordancy and heterogeneity measures verified the grouping precipitation observatory by the cluster analysis. So, there divided rainfall observatory in Korea to 6 areas, and the regional frequency analysis applies index-flood techniques and L-moment techniques. Also, the probability precipitation was calculated by the regional frequency analysis using variable kernel density function. At the results, the regional frequency analysis of the variable kernel function can utilize for decision difficulty of suitable probability distribution in other methods.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.26 no.6B
• /
• pp.651-660
• /
• 2006

Although a harbor may be constructed with calmness in harbor in mind, which satisfies the design standard, it is frequently reported that the motion of moored ships disrupt the cargo handling. This is because of current design standard, which only deals with the wave height in the decision making process of cargo handling, and, now, a new kind of estimation method of operating ratio for calmness based on the motion of moored ship is in need. In this research, a computational method that analyses the harbor operation rate in harbor was put forward by considering the relation of allowable quantity of motion for cargo handling and the computation of the motion of moored ship at wharf by using moored ship motion analysis model. Here, a new estimetion method was applied at Onsan harbor, and it was compared with the current estimation method, and, then, the difference between the two methods was showed. The harbor operating ratio gained by a new method was dropped by 2~11% at ENE and NE directions when it was compared with the operating ratio based on the current design standard. However, when a harbor structure layout is to be designed, a harbor operating ratio test according to the wave height and a harbor operation rate test, which considers the motion of moored ship, are to be run side by side at a harbor designing process.