• Journal of the Korean Society of Industry Convergence
• /
• v.13 no.4
• /
• pp.219-225
• /
• 2010

A structure of line for producing products is variously changing to be automatic and one-person Cell-Line considering the physical burden for workers in manufacturing industry of electronic goods. However, workers tend to still accuse Work-related Musculoskeletal Disorders (including shoulder, waist, hand, wrist, leg etc.) as a simply repeated work by accelerating of the production speed for productivity improvement in the assembly line. Thus manufacturing engineers in charge of changing and set up newly for an assembly line are necessary to the construct of the guideline on human engineering. Especially. There is no standardized engineering-guide and it is difficult to create the exact work environment because the risk factor analysis and the improvement for assembly line are executed once a year on the current situation. I'd like to reduce the physical burden on workers through the effective improvement of processing by the guideline on working environment fit for a characteristic on manufacturing process when the process is changed or newly installed.

• The KIPS Transactions:PartD
• /
• v.13D no.3 s.106
• /
• pp.369-376
• /
• 2006

This paper presents a new method of significantly improving conventional Bayesian statistical text classifier by incorporating accelerated EM(Expectation Maximization) algorithm. EM algorithm experiences a slow convergence and performance degrade in its iterative process, especially when real online-textual documents do not follow EM's assumptions. In this study, we propose a new accelerated EM algorithm with uncertainty-based selective sampling, which is simple yet has a fast convergence speed and allow to estimate a more accurate classification model on Naive Bayesian text classifier. Experiments using the popular Reuters-21578 document collection showed that the proposed algorithm effectively improves classification accuracy.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.10
• /
• pp.249-257
• /
• 2021

Industrial agglomeration policy is a strategy that is expected to accelerate economic growth to transform an impoverished region into a prosperous one. However, industrial agglomeration also has the potential to exacerbate development inequality due to the concentration of economic development activities in certain areas. Therefore, this study aims to investigate what strategies are best to minimize the adverse effects of industrial agglomeration. This study uses econometric analysis with panel data covering 38 districts/cities in East Java during the 2011-2019 period. The results showed that the combination of industrial agglomeration policies coupled with accelerated sectoral growth, hard infrastructure development, and soft infrastructure provided the best policy outcome, improving regional inequality and accelerating economic growth in East Java. Based on the analysis, we find that East Java's economic growth characteristics are convergent but relatively long. Therefore, the East Java economic development policy during 2010-2019 should be reviewed due to the relatively long convergence period. Furthermore, this study also found that industrial agglomeration slows down the convergence and economic growth of East Java. In the future, the deployment of Industrial Development Centers (PPI) outside the existing eight districts/cities is needed to accelerate the spread of economic activity in East Java.

• Journal of the Institute of Convergence Signal Processing
• /
• v.19 no.4
• /
• pp.186-191
• /
• 2018

As influence of the 4th industry is growing with development of information society more electronic devices and sensor are used in the field. As this is the case, importance of signal processing during data transfer is rising Furthermore, the need for technology to remove noise caused by various reasons and to stabilize sensor output is growing as well. This research suggests digital filter algorithm that efficiently remove noise by stabilizing output of accelerating sensor. The standard value of this algorithm is calculated by applying Gaussian coefficient. To maintain its feature, final output is obtained by subtracting weight depending on variance from standard value For its evaluation, it is compared with other protocols and its function is checked through output features.

• International journal of advanced smart convergence
• /
• v.11 no.3
• /
• pp.102-118
• /
• 2022

With the development of digital content software production technology and the technological progress of related hardware, the social status quo in the post-epidemic era, the popularization and application of 5G networks, the market and consumers' increasing demand for digital content products, artificial intelligence, virtual digital human, virtual Idols, virtual live, self-media content and metaverse-related content industries are all developing rapidly. Virtual idols, virtual digital human, etc. are not only accelerating innovation in production technology. The economic cost, technical difficulty and time requirements of production are also greatly reduced. With the arrival and development of the Metaverse, the author believes that the content industry with virtual digital humans as the core will continue to develop in the direction of refinement, specialization, facilitation and customization. In this article, we will analyze and study the production of virtual digital human based on Photoscan technology and Unreal Engine 5 Metahuman software, and discuss the application status and future development of related content.

• Journal of Practical Engineering Education
• /
• v.15 no.2
• /
• pp.429-438
• /
• 2023

Recently, demand for smart factories is increasing in response to the era of the 4th industrial revolution. Smart factory is basically a manufacturing industry based on massive data, which requires IT services for processing a lot of data, which is accelerating the construction of data centers. Data center computing equipment requires a different approach from the cooling technology of general facilities in terms of heat load and usage time. This study investigates the factors to be reviewed in the recent data center cooling system design and technological change trends, compares and reviews various technological methods for facility configuration of case companies, derives the design decision process, and draws up a conceptual design corresponding to the conclusion.

• Journal of KIISE:Computer Systems and Theory
• /
• v.31 no.10
• /
• pp.575-587
• /
• 2004

In this paper. a new Fast Expectation-Maximization algorithm(FEM) is proposed. Firstly the K-means algorithm is modified to reduce the number of iterations for finding the initial values that are used as the initial values in EM process. Conventionally the Initial values in K-means clustering are chosen randomly. which sometimes forces the process of clustering converge to some undesired center points. Uniform partitioning method is added to the conventional K-means to extract the proper initial points for each clusters. Secondly the effect of posterior probability is emphasized such that the application of Maximum Likelihood Posterior(MLP) yields fast convergence. The proposed FEM strengthens the characteristics of conventional EM by reinforcing the speed of convergence. The superiority of FEM is demonstrated in experimental results by presenting the improvement results of EM and accelerating the speed of convergence in parameter estimation procedures.

• The KIPS Transactions:PartC
• /
• v.16C no.2
• /
• pp.275-284
• /
• 2009

Fast development of network technology and digitalization of various kinds of information are accelerating the convergence of between them. Accordingly, an environment for integrated service is needed, where users can be provided with various kinds of information such as voice, video, and text, using even different kinds of devices in heterogeneous networks for communication and broadcasting. In general, enablers integrate several functions to provide with various services in application layer based on IMS in BcN including even different kinds of networks. But in order to receiving convergence services, we must reason the environment of the user through the profiles of the networks and the devices and provide a suitable service to the user. In this paper, we will propose an efficient architecture and functions of a context-aware module which decides the appropriate services based on the profiles in the IMS enabler and its convergence service environments.

• Journal of Digital Convergence
• /
• v.17 no.5
• /
• pp.179-189
• /
• 2019

The market participation and development of major manufacturers of next-generation green vehicles is accelerating in recent years. The results of this study are as follows: Consumer type (personal value pursuit type, price value pursuit type) was significant difference between consumer. The results of this study were as follows: First, there was no significant difference in the characteristics of consumers (gender, age, monthly average income) and purchase intention according to age, gender and monthly average income, Image has a positive (+) impact on eco-friendly vehicles. This suggests that the development and market participation of next - generation green vehicles is accelerating and consumers 'interest is increasing, and the characteristics of environment - friendly vehicles and the government' s policy support are important factors.

• Journal of Internet of Things and Convergence
• /
• v.8 no.1
• /
• pp.73-78
• /
• 2022

Due to COVID-19, the digital transformation centered on unmanned and non-face-to-face is accelerating. Like a digital civilization, it is changing into a digital age, but for those who cannot use digital, the inconveniences in daily life are falling to the level of digital illiteracy. There is a social gap between digital users and non-users, and digital non-users are separated from society. For the digital socialization of the digitally underprivileged, the transition to the digital world is accelerating, and the ability to use digital in everyday life is becoming more important. As the transition to the digital world accelerates, individual social and economic differences are occurring. These problems are hindering the sustainable growth of society. In this study, in order to receive digital education conveniently, we intend to design an education model with excellent accessibility as an education that can be received by all citizens. It is intended to propose a digital education model that can be used universally and solve the inconvenience of life through digital comprehensive competency education that can be received step by step and can be easily received.