• Journal of the Korean Geographical Society
• /
• v.49 no.6
• /
• pp.917-934
• /
• 2014

Geographically weighted regression(GWR) model has been widely used to estimate spatially heterogeneous real estate prices. The GWR model, however, has some limitations of the selection of different price determinants over space and the restricted number of observations for local estimation. Alternatively, the geographically weighted LASSO(GWL) model has been recently introduced and received a growing interest. In this paper, we attempt to explore various local price determinants for the real estate by utilizing the GWL and its applicability to forecasting the real estate price. To do this, we developed the three hedonic models of OLS, GWR, and GWL focusing on the sales price of apartments in Seoul and compared those models in terms of model fit, prediction, and multicollinearity. As a result, local models appeared to be better than the global OLS on the whole, and in particular, the GWL appeared to be more explanatory and predictable than other models. Moreover, the GWL enabled to provide spatially different sets of price determinants which no multicollinearity exists. The GWL helps select the significant sets of independent variables from a high dimensional dataset, and hence will be a useful technique for large and complex spatial big data.

• Land and Housing Review
• /
• v.8 no.4
• /
• pp.285-294
• /
• 2017

Recently, as the paradigm of regional development has been transformed into characterization, decentralization and cooperation, small and medium scale development is in the spotlight. In particular, as the transfer of planning authority to local governments accelerates, LH is in the process of seeking to transform itself into a system that is in line with local government demand. The purpose of this study is to elaborate the regional pending projects that meet the demand of the region. The Jeju Special Self-Governing Province is the area where land and housing prices have increased more than three times recently, which is the area of interest in recent years due to the various demand for development projects. Another objective is to establish a local government based on LH's system, it is aimed to derive a collaboration method with local government, province corporation and local researchers. The criteria for deriving the cooperation projects between the local government and LH are basically the ones that can be carried out by LH and future-oriented projects. The process of deriving has undergone the process of statutory planning, unscrupulous plan analysis, and consultation of experts' advisory committees. In order to derive the regional cooperation project, four criteria such as local uniqueness, future possibility, business promotion efficiency, and local cooperation project were set. Major projects of the Jeju Special Self-Governing Province are improvement of the surrounding traffic system, construction of the hinterland due to the construction of the second airport, and establishment of Cruise Port(Jeju Port, Seogwipo Port). The role of each entity in the implementation of regional cooperation projects is as follows. Local government should request subsidies for the projects in case of lack of budget support and secure them through competition with other regions. In addition, it should be responsible for the operation and management of the facility once it has been supported and completed smoothly. The Ministry of Land, Infrastructure and Transport affects each region through approval and subsidy of the development plan. After the development project is completed, it evaluates the development project through monitoring and plays a role of continuously improving the system. As a business operator, the provincial corporation will carry out small-scale projects including non-physical projects such as community participation. In the case of LH regional headquarters, the general manager of the region will establish a comprehensive business plan, secure development availability, and carry out large-scale growth promotion projects.

• Cartoon and Animation Studies
• /
• s.49
• /
• pp.493-519
• /
• 2017

Looking back at the last 10 years of the enactment of the Game Industry Act, the law was revised as a regulation rather than a promotion of the game. The objective of this study is to investigate where game regulation originated and derived through the history of those, and to find out what areas were missed, and to solve the tangled threads by regulation. For this purpose, we reviewed the implications of 10,000 won per hour, and discussed alternatives. Data were collected and analyzed on the basis of a review of regulatory literature and in - depth interviews with experts. When regulating games, we found that the side effects were further amplified by simply regulating the amount. Especially, we found that the vicious cycle in which functions such as indication, hit repeatedly, and automatic progress are made and immediately following prohibited is repeated. The point at which there is a sharp interest between the game user and the game operator in the game progression is the 'reward ratio for betting'. This is the key to protecting users. This could be a regulation considering the mechanism of the game. If the regulatory paradigm shifts in the future due to game regulations that take into account the 'reward ratio for betting' in the future, it is expected to minimize the side effects of price regulation and create a sound game ecosystem.

• The Journal of the Acoustical Society of Korea
• /
• v.39 no.5
• /
• pp.461-467
• /
• 2020

In noisy and multi-speaker environments, the performance of speech recognition is unavoidably lower than in a clean environment. To improve speech recognition, in this paper, the signal of the speaker of interest is extracted from the mixed speech signals with multiple speakers. The VoiceFilter model is used to effectively separate overlapped speech signals. In this work, clustering by Probabilistic Linear Discriminant Analysis (PLDA) similarity score was employed to detect the speech signal of the interested speaker, which is used as the reference speaker to VoiceFilter-based separation. Therefore, by utilizing the speaker feature extracted from the detected speech by the proposed clustering method, this paper propose a speaker diarization system using only the mixed speech without an explicit reference speaker signal. We use phone-dataset consisting of two speakers to evaluate the performance of the speaker diarization system. Source to Distortion Ratio (SDR) of the operator (Rx) speech and customer speech (Tx) are 5.22 dB and -5.22 dB respectively before separation, and the results of the proposed separation system show 11.26 dB and 8.53 dB respectively.

• Journal of KIISE
• /
• v.42 no.8
• /
• pp.998-1009
• /
• 2015

In recent years, there has been a growing interest in RDFS Inference to build a rich knowledge base. However, it is difficult to improve the inference performance with large data by using a single machine. Therefore, researchers are investigating the development of a RDFS inference engine for a distributed computing environment. However, the existing inference engines cannot process data in real-time, are difficult to implement, and are vulnerable to repetitive tasks. In order to overcome these problems, we propose a method to construct an in-memory distributed inference engine that uses a parallel graph structure. In general, the ontology based on a triple structure possesses a graph structure. Thus, it is intuitive to design a graph structure-based inference engine. Moreover, the RDFS inference rule can be implemented by utilizing the operator of the graph structure, and we can thus design the inference engine according to the graph structure, and not the structure of the data table. In this study, we evaluate the proposed inference engine by using the LUBM1000 and LUBM3000 data to test the speed of the inference. The results of our experiment indicate that the proposed in-memory distributed inference engine achieved a performance of about 10 times faster than an in-storage inference engine.

• The Journal of the Convergence on Culture Technology
• /
• v.5 no.3
• /
• pp.197-202
• /
• 2019

In the era of the fourth revolution, interest in content production using proven engines in the broadcasting sector, such as Vizrt, is growing. The new visual effects required in the 5G era are critical to content production training. Vizrt has a good production time utility and affordability for broadcast and media content. In this paper, we are going to use this to present a practical case of the theorem and application of the basic training course in the production of virtual content, and to present the basic training direction. In the introduction, the graphic algorithm analyzed and studied the characteristics and environmental factors of the Vizrt engine. In this paper, the production process was studied separately, and the work carried out through engine implementation was presented. The VS Studio Foundation was provided as a practical production case at each stage. The Vizrt engine operator process is important in graphic approach and application, and through the results of the lecture, the method of understanding and implementing algorithms for virtual reality perspective suitable for basic learning was studied. Based on practice, the research method of main theory was to create Vizrt contents specialized in 5G contents work in each sector and to implement graphic production in new areas from contents image. Through this study, we came to the conclusion of the basic training method through virtual reality content work based on Vizrt by practicing content creation according to the subject. It also proposes the effect of creating Vizrt content and the direction of building Vizrt basic training courses.

• Journal of Korea Foundry Society
• /
• v.41 no.6
• /
• pp.550-557
• /
• 2021

With the advent of the fourth industrial revolution, the interest in the internet of things (IoT) in manufacturing is growing, even at foundries. There are several types of process data that can be automatically collected at a foundry, but considerable amounts of process data are still managed based on handwriting for reasons such as the limited functions of outdated production facilities and process design based on operator know-how. In particular, despite recognizing the importance of converting process data into big data, many companies have difficulty adopting these steps willingly due to the burden of system construction costs. In this study, the field applicability of IoT-based devices was examined by manufacturing devices and applying them directly to the site of a centrifugal foundry. For the centrifugal casting process, the temperature and humidity of the working site, the molten metal temperature, and mold rotation speed were selected as process parameters to be collected. The sensors were selected in consideration of the detailed product specifications and cost required for each process parameter, and the circuit was configured using a NodeMCU board capable of wireless communication for IoT-based devices. After designing the circuit, PCB boards were prepared for each parameter, and each device was installed on site considering the working environment. After the on-site installation process, it was confirmed that the level of satisfaction with the safety of the workers and the efficiency of process management increased. Also, it is expected that it will be possible to link process data and quality data in the future, if process parameters are continuously collected. The IoT-based device designed in this study has adequate reliability at a low cast, meaning that the application of this technique can be considered as a cornerstone of data collecting at foundries.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.10
• /
• pp.85-92
• /
• 2023

In this paper, we propose a method for automatically generating story-based abbreviated summaries from long-form dramas and movies. From the shooting stage, the basic premise was to compose a frame with illusion of depth considering the golden division as well as focus on the object of interest to focus the viewer's attention in terms of content delivery. To consider how to extract the appropriate frames for this purpose, we utilized elemental techniques that have been utilized in previous work on scene and shot detection, as well as work on identifying focus-related blur. After converting the videos shared on YouTube to frame-by-frame, we divided them into a entire frame and three partial regions for feature extraction, and calculated the results of applying Laplacian operator and FFT to each region to choose the FFT with relative consistency and robustness. By comparing the calculated values for the entire frame with the calculated values for the three regions, the target frames were selected based on the condition that relatively sharp regions could be identified. Based on the selected results, the final frames were extracted by combining the results of an offline change point detection method to ensure the continuity of the frames within the shot, and an edit decision list was constructed to produce an abbreviated summary of 62.77% of the footage with F1-Score of 75.9%

• Journal of the Korean Society of Radiology
• /
• v.84 no.5
• /
• pp.1110-1122
• /
• 2023

Purpose This study aimed to assess the variability of transrectal shear wave elastography (SWE) using a designed phantom. Materials and Methods In a phantom, the SWE values were examined by two radiologists using agarose and emulsion silicone of different sizes (1, 2, and 3 cm) and shapes (round, cubic) at three depths (1, 2, and 3 cm), two region of interest (ROI) and locations (central, peripheral) using two ultrasound machines (A, B from different vendors). Variability was evaluated using the coefficient of variation (CV). Results The CVs decreased with increasing phantom size. Significant changes in SWE values included; agarose phantom at 3 cm depth (p < 0.001; machine A), 1 cm depth (p = 0.01; machine B), emulsion silicone at 2 cm depth (p = 0.047, p = 0.020; both machines). The CVs increased with increasing depth. Significant changes in SWE values included; 1 cm agarose (p = 0.037, p = 0.021; both machines) and 2 cm agarose phantom (p = 0.047; machine A). Significant differences in SWE values were observed between the shapes for emulsion silicone phantom (p = 0.032; machines A) and between ROI locations on machine B (p ≤ 0.001). The SWE values differed significantly between the two machines (p < 0.05). The intra-/inter-operator agreements were excellent (intraclass correlation coefficient > 0.9). Conclusion The phantom size, depth, and different machines affected the variability of transrectal SWE.

• The Korean Journal of Air & Space Law and Policy
• /
• v.34 no.1
• /
• pp.3-38
• /
• 2019

In 1984, Congress enacted a new measure of administrative sanctions which is a civil money penalty program for violations of Aviation Act and its implementing regulations. This civil money penalty system has been in operations in lieu of suspending or revoking certificates issued by Korean government, Ministry of Land, Infrastructure, and Transport. According to the rules of Aviation Business Act or Aviation Safety Act, where the Minister of Land, Infrastructure and Transport should order an air carrier to suspend operation because of her violation under certain rules, in which case the suspension of operation is likely to cause serious inconvenience to consumers of air transport services or to harm public interest, the Minister of the department may impose an administrative monetary penalty in lieu of the suspension of operation. In this regard, airline related civil money penalties are somewhat different from those of fair trade, which is the origin of the money penalties system in Korea. Civil money penalties in the field of fair trade are imposed on executive duty violations that undermine the value of the market economy order, and focus on reimbursement of profits due to violations and compensation for unfair spending by consumers. However, in the aviation sector, breach of duty by a business operator does not simply cause the property loss of the public, but it has a direct impact on life or property of the public. In this respect, aviation penalties are more likely to be administrative sanctions or punitive measures than refunds of unfair benefits, compared to penalties in the field of fair trade. In general, civil money penalties have been highly preferred as administrative sanctions because they are subject to investigations by administrative experts and thus, efficiency can be ensured and execution is quicker than judicial procedures. Moreover, in Korea, because punitive civil damages cannot awarded by the courts, the imposition of civil money penalties is recognized as a means of realizing social justice by recognizing the legal feelings of the people. However, civil money penalties are administrative sanctions, and in terms of effectiveness, they are similar to criminal fines, which are a form of punishment. Inadequate legislation and operation of penalties imposition may cause damage to the value of Constitution. Under the above recognition, this paper has been described for the purpose of identifying the present status of the civil money penalties imposition system and operating status in the area of air transport under the laws and regulations in Korea. Especially, this paper was focused on exploring the problem and improvement direction of Korean system through the comparative study with foreign laws and regulations.