• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.601-613
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• 2018

This study aims to find out the types of convergence types between devices/technology and artifact in smart city space. The main contents of the research are in-depth analysis on the convergence change of ET, IT, and ET+IT in a smart city. First, the devices/technology and artifacts through 31 cases study are found out below. There are 92 artifacts and 134 devices/technologies (ET:83, IT:51). Second, the convergence change between devices/technology and artifacts is evolved by 7 types. Type 1, the Evolutionary ET type of ET-centric, is Period 1 (Separation fusion between ET and IT), Period 2 (ET-centric fusion), and Period 3 (Growth IT and ET+IT fusion of ET-centric). Type 2, the Advanced ET type of ET+IT-centric, is Period 1 (ET+IT fusion), Period 2 (Advanced ET of ET+IT-centric), and Period 3 (Hyper-advanced ET of ET+IT-centric). Type 3, the All-in-One type of ET+IT, is Period 1 (Separation fusion between ET and IT), Period 2 (Mixed fusion between ET and IT), and Period 3 (All-in-One fusion of ET and IT). Type 4, the Advanced type of IT-centric, is Period 1 (Development of IT-centric), Period 2 (Advanced IT-centric), and Period 3 (Hyper-advanced IT-centric). Types 5 and 6, the Advanced together type of ET+IT, is Period 1 (Developed IT of ET+IT-centric), Period 2 (Advanced IT of ET+IT-centric), and Period 3 (Hyper-advanced IT of ET+IT-centric). Type 7, the Advanced IT type of ET+IT-centric, is Period 1 (ET+IT fusion), Period 2 (Sub-fusion of ET, Advanced IT), and Period 3 (Sub-fusion of ET, Hyper-advanced IT). This study results are going to expect making new types of convergence through further study.

• Journal of the Korean Society of Industry Convergence
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• v.21 no.2
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• pp.95-101
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• 2018

This paper presents a collision free mobile robot navigation based on the fuzzy inference fusion model in unkonown environments using multi-ultrasonic sensor. Six ultrasonic sensors are used for the collision avoidance approach where CCD camera sensors is used for the trajectory following approach. The fuzzy system is composed of three inputs which are the six distance sensors and the camera, two outputs which are the left and right velocities of the mobile robot's wheels, and three cost functions for the robot's movement, direction, obstacle avoidance, and rotation. For the evaluation of the proposed algorithm, we performed real experiments with mobile robot with ultrasonic sensors. The results show that the proposed algorithm is apt to identify obstacles in unknown environments to guide the robot to the goal location safely.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.11a
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• pp.274-274
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• 2007

LTCC 소재로 응용을 위해 Mg-Si-O계 세라믹스에 glass frit을 첨가하여 소결 및 마이크로파 유전특성에 관한 연구를 진행하였다. $Mg_2SiO_4$를 기본조성으로 하고 $B_2O_3-ZnO-Na_2O-SiO_2-Al_2O_3$계 glass를 20~40wt%로 첨가하여 $900^{\circ}C$에서 1시간 소결하였을 때 glass 함량이 증가함에 따라 밀도$(g/cm^3)$ 및 유전율$(\varepsilon_r)$은 증가하였고 품질계수$(Q{\times}f_0)$ 값은 감소하는 경향을 보였다. $900^{\circ}C$에서 1시간 소결한 소결체의 유전특성은 유전율 $(\varepsilon_r)$ = 6.5, 품질계수 $(Q{\times}f_0)$ = 4,000(GHz), 온도계수 $({\tau}_f)={\pm}10ppm/^{\circ}C$로 우수한 특성을 확인하였다. 그리고 Glass Milling 효과에 따른 glass-ceramics 소결체의 미세구조, 마이크로파 유전특성을 비교 고찰하였다.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.10
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• pp.865-878
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• 2017

To realize the healthy life of human, mental, physical, and environmental factors must be managed continuously and stably. In order to manage human health, the 21st century healthcare field is essential ongoing interactions and convergence with ICT technologies. Such demands have created a convergence of technologies (fusion technology) in combination with the heterogeneous technologies. And, with the convergence of medical technology and ICT technologies, the development of personalized therapy environments is created. Advances in ICT-converged healthcare services are progressing due to the development of diverse wearable devices. Such ICT fusion system is exponentially increasing the complexity of the ICT convergence healthcare system and is resulting in various technical, institutional, environmental, and cultural issues. This study explores the status of developments in ICT healthcare technologies from the past to date, identifies major technology and policy issues to address these challenges. Finally it will recommend healthcare policies and a future road-map.

• Journal of information and communication convergence engineering
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• v.11 no.1
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• pp.24-29
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• 2013

In this paper, we propose a fuzzy inference model for a navigation algorithm for a mobile robot that intelligently searches goal location in unknown dynamic environments. Our model uses sensor fusion based on situational commands using an ultrasonic sensor. Instead of using the "physical sensor fusion" method, which generates the trajectory of a robot based upon the environment model and sensory data, a "command fusion" method is used to govern the robot motions. The navigation strategy is based on a combination of fuzzy rules tuned for both goal-approach and obstacle-avoidance based on a hierarchical behavior-based control architecture. To identify the environments, a command fusion technique is introduced where the sensory data of the ultrasonic sensors and a vision sensor are fused into the identification process. The result of experiment has shown that highlights interesting aspects of the goal seeking, obstacle avoiding, decision making process that arise from navigation interaction.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.75-87
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• 2009

We propose in this paper a novel approach to image fusion in which the fusion rule is guided by optimizing an image clarity function. A Genetic Algorithm is used to stochastically select, comparative to the clarity function, the optimum block from among the source images. A novel nested Genetic Algorithm with gifted individuals found through bombardment of genes by the mutation operator is designed and implemented. Convergence of the algorithm is analytically and empirically examined and statistically compared (MANOVA) with the canonical GA using 3 test functions commonly used in the GA literature. The resulting GA is invariant to parameters and population size, and a minimal size of 20 individuals is found to be sufficient in the tests. In the fusion application, each individual in the population is a finite sequence of discrete values that represent input blocks. Performance of the proposed technique applied to image fusion experiments, is characterized in terms of Mutual Information (MI) as the output quality measure. The method is tested with C=2 input images. The results of the proposed scheme indicate a practical and attractive alternative to current multi-focus image fusion techniques.

• Journal of Advanced Navigation Technology
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• v.15 no.6
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• pp.1194-1211
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• 2011

The main research purpose of this paper is developed to Fusion Management System Model that is competition advantage and excellence airport for the airport authorities. Fusion Management System Model is developed to fuse and convert how is consist of creativity management and management quality system. Fusion management system structure is as follow. Firstly, part of foundation configured to philosophy and intention of CEO, company as like university and value-based creative corporate culture. Secondly, part of body is applied that is process by 6sigma, system by ISO9001. Thirdly, part of head is applied that is strategy and evaluation by Malcolm Baldrige National Quality Award of U.S.A. Also, system connected to synergy line that is creativity management, fusion & convergence and trust. Finally, this system has been researched to the practical perspective in order to realize for airport authorities.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.193-201
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• 2020

The main objective of this study is to investigate the impact of additional modalities on the performance of emotion recognition using speech, facial expression and physiological measurements. In order to compare different approaches, we designed a feature-based recognition system as a benchmark which carries out linear supervised classification followed by the leave-one-out cross-validation. For the classification of four emotions, it turned out that bimodal fusion in our experiment improves recognition accuracy of unimodal approach, while the performance of trimodal fusion varies strongly depending on the individual. Furthermore, we experienced extremely high disparity between single class recognition rates, while we could not observe a best performing single modality in our experiment. Based on these observations, we developed a novel fusion method, called parametric decision fusion (PDF), which lies in building emotion-specific classifiers and exploits advantage of a parametrized decision process. By using the PDF scheme we achieved 16% improvement in accuracy of subject-dependent recognition and 10% for subject-independent recognition compared to the best unimodal results.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2008.11a
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• pp.207-207
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• 2008

Modern industry has focused on processing that produce low- loss dielectric substrates used complex micron-sized devices using tick film technologies such as tape casting and slip casting. However, these processes have inherent disadvantages fabricating high density interconnect with embedded passives for high speed communication electronic devices. Here, we have successfully fabricated porous alumina dielectric layer infiltrated with polymer solution by using inkjet printing process. Alumina suspensions were formulated as dielectric ink that were optimized to use in inkjet process. The layer was confirmed by field emission scanning electron microscope (FE-SEM) for measuring microstructure and volume fraction. In addition, the reaction kinetics and electrical properties were characterized by FT-IR and the impedance analyzer. The volume fraction of alumina in porous dielectric alumina layer is around 70% much higher than that in the conventional process. Furthermore, after infiltration on the dielectric layer using polymer resins such as cyanate ester. Excellent Q factors of the dielectric is about 200 when confirmed by impedance analyzer without any high temperature process.

• The Journal of Korea Robotics Society
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• v.14 no.3
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• pp.170-178
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• 2019

This paper proposes a parking space detection method for autonomous parking by using the Around View Monitor (AVM) image and Light Detection and Ranging (LIDAR) sensor fusion. This method consists of removing obstacles except for the parking line, detecting the parking line, and template matching method to detect the parking space location information in the parking lot. In order to remove the obstacles, we correct and converge LIDAR information considering the distortion phenomenon in AVM image. Based on the assumption that the obstacles are removed, the line filter that reflects the thickness of the parking line and the improved radon transformation are applied to detect the parking line clearly. The parking space location information is detected by applying template matching with the modified parking space template and the detected parking lines are used to return location information of parking space. Finally, we propose a novel parking space detection system that returns relative distance and relative angle from the current vehicle to the parking space.