• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.189-196
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• 2023

As the manufacturing paradigm shifts, various collaborative robots are creating new markets. Demand for collaborative robots is increasing in all industries for the purpose of easy operation, productivity improvement, and replacement of manpower who do simple tasks compared to existing industrial robots. However, accidents frequently occur during work caused by collaborative robots in industrial sites, threatening the safety of workers. In order to construct an industrial site through robots in a human-centered environment, the safety of workers must be guaranteed, and there is a need to develop a collaborative robot guard system that provides reliable communication without the possibility of dispatch. It is necessary to double prevent accidents that occur within the working radius of cobots and reduce the risk of safety accidents through sensors and computer vision. We build a system based on OPC UA, an international protocol for communication with various industrial equipment, and propose a collaborative robot guard system through image analysis using ultrasonic sensors and CNN (Convolution Neural Network). The proposed system evaluates the possibility of robot control in an unsafe situation for a worker.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.4
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• pp.161-182
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• 2024

The study analyzed the rapidly growing food tech startup in South Korea, focusing on industry classification, core technological domains, investment stages, and growth trajectories. Utilizing the ERIS model, two innovative food tech startups, MyChef and CatchTable, were examined as case studies. Results revealed food tech startups are focusing on information technology and smart distribution technology-oriented solutions rather than traditional food production. This study also found that robotics and AI integration were key technology areas. Analyzing the emergence of food tech startups, investment stages, and cumulative investment amounts based on founding years revealed a trend of scaling operations through rounds of funding, especially after securing SERIES A and B funding. The period between 2014 and 2018 saw a dense concentration of food tech startup establishments, likely influenced by favorable conditions for technological innovation amid the Fourth Industrial Revolution. The high rate of strategic mergers and acquisitions and bankruptcy can be interpreted as the complexity inherent in the food tech industry. The case study of MyChef, which grew into HMR manufacturing, and Wad(CatchTable), which expanded into a restaurant reservation platform, derived the entrepreneurs, resources, industry, and strategic factors that served as success factors for food tech startups. This study has practical implications in that it provides entrepreneurs, investors, and policymakers in the food tech industry with insight and direction to develop strategies in line with market trends and technological changes and promote sustainable growth.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.2
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• pp.314-322
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• 2018

Japan has established a strategic and concrete plan to respond in advance to the forthcoming Industrial Revolution era. The Fourth Industrial Revolution Strategy in Japan is divided into two types of strategies of utilizing strength and complementing weaknesses. The former belongs to 'real data utilization' and 'new robot development', and the latter belongs to 'global issues Solution'. In particular, the Japanese government is more aggressive than any other country in introducing the Japanese version of the Regulatory Sandbox system as a social verification system for the realization of the Society 5.0, which is regarded as the cornerstone of the Fourth Industrial Revolution. This study examines the key strategies presented in the main documents relating to the Fourth Industrial Revolution, and based on this consideration, we propose a suggestion worthy of reference when Korea develops the response strategy of the Fourth Industrial Revolution.

• Convergence Security Journal
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• v.16 no.3_1
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• pp.27-35
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• 2016

This thesis analyzes the backgrounds of the third offset strategy of the US Department of Defense. The key technology areas to be developed and the implications of the 3rd strategy are also examined. The potential great powers, China and Russia have catched up with US in the certain areas of military technologies. The technological superiority of US military is found to have been eroded. The US DOD needs a new defense policy called the 3rd offset strategy to meet this new challenge. The 5 basic technology areas were identified; learning machines, human-machine collaboration, machine-assisted human operations, human-machine combat teaming, and autonomous weapons. The 3rd offset strategy should be managed not to move to the new arms race with rivalries. The defense acquisition system also needs to be improved for the smooth flow of the advanced commercial technologies to the defense sector. Korea needs to figure out the possible technologies of co-research and development with US.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.41-46
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• 2020

The start of the Fourth Industrial Revolution has brought about various changes in the domestic industry in general, and smart factories have spread to companies in the fields of production, manufacturing and logistics, and they are using automation equipment. Especially in the field of logistics automation, AGVs are widely used, and most of them use the line guidance system, which is the traditional AGV drive system. In addition, the demand for AGV system developers, system operators and managers, and maintenance personnel is increasing, and the installation of systems for education is expensive and requires a large space to utilize. It is a situation where systematic education is difficult. In this paper, we propose a virtual simulation-based AGV distance education model for smooth practice of trainees. The proposed model consisted of a model that can drive the AGV by analyzing video information, instead of the line guidance method that is the conventional technology. As a result of self-diagnosis evaluation, it was confirmed that the experimental group through online education had an average satisfaction level of 0.65 higher than the control group using existing equipment, and that it could be used in an online education environment.

• The Journal of the Acoustical Society of Korea
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• v.35 no.5
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• pp.358-367
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• 2016

SSL (Sound Source Localization) has been applied to several applications such as man-machine interface, video conference system, smart car and so on. But in the process of sound source localization, angle estimation error is occurred mainly due to the non-linear characteristics of the sine inverse function. So an approach was proposed to decrease the effect of this non-linear characteristics, which divides the microphone's covering space into narrow regions. In this paper, we proposed an optimal space dividing way according to the pattern of microphone array. In addition, sound source's 2-dimensional position is estimated in order to evaluate the performance of this dividing method. In the experiment, GCC-PHAT (Generalized Cross Correlation PHAse Transform) method that is known to be robust with noisy environments is adopted and triangular pattern of 3 microphones and rectangular pattern of 4 microphones are tested with 100 speech data respectively. The experimental results show that triangular pattern can't estimate the correct position due to the lower space area resolution, but performance of rectangular pattern is dramatically improved with correct estimation rate of 67 %.

• Journal of the Korean Society of Industry Convergence
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• v.21 no.2
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• pp.87-93
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• 2018

This Study Propose A New Approach To Impliment A Intelligent Robot Control Based on Voice Recognition For Smart Factory Automation Since human usually communicate each other by voices, it is very convenient if voice is used to command humanoid robots or the other type robot system. A lot of researches has been performed about voice recognition systems for this purpose. Hidden Markov Model is a robust statistical methodology for efficient voice recognition in noise environments. It has being tested in a wide range of applications. A prediction approach traditionally applied for the text compression and coding, Prediction by Partial Matching which is a finite-context statistical modeling technique and can predict the next characters based on the context, has shown a great potential in developing novel solutions to several language modeling problems in speech recognition. It was illustrated the reliability of voice recognition by experiments for humanoid robot with 26 joints as the purpose of application to the manufacturing process.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.5
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• pp.949-958
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• 2018

A voice recognition control system is a system for controlling a peripheral device by recognizing a voice. Recently, a voice recognition control system have been applied not only to smart devices but also to various environments ranging from IoT(: Internet of Things), robots, and vehicles. In such a voice recognition control system, the recognition rate is lowered due to the ambient noise in addition to the voice of the user. In this paper, we propose a dual channel acoustic beamforming hardware architecture for MEMS(: Microelectromechanical Systems) microphones to eliminate ambient noise in addition to user's voice. And the proposed hardware architecture is designed as ASIC(: Application-Specific Integrated Circuit) using TowerJazz $0.18{\mu}m$ CMOS(: Complementary Metal-Oxide Semiconductor) technology. The designed dual channel acoustic beamforming ASIC has a die size of $48mm^2$, and the directivity index of the user's voice were measured to be 4.233㏈.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2181-2186
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• 2016

Recently, the drone industry rapidly rises to the surface as the new market leading the future, and it seems that the hot UAV drone market shows the similar trend to that of the smartphone. It is expected that the individual application of the drone is quickly diffused as the smartphone roles of camera and game player with the communication medium. For example, the drone is developed mainly as war weapons, but now it is getting close to our real life as the toy or tool for the aerial photography. In this paper, we studied the education for how to bring the aging population to the drone industry. Previously, the controlling skill and taking aerial photography seemed to have nothing to do with citizen seniors. However, we develop the education for try to show any positive relationship between those, in this paper, thus creating more job opportunities for them.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.291-297
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• 2018

Due to difficulty in minimally invasive surgery, training simulator is actively researched. A volumetric deformable organ is created by employing a shape-retaining chain-linked (S-chain) model to realize positioning a human organ model in virtual space. Since the main principle of the S-chain algorithm is that the repulsive force is proportional to the number of chain elements, the calculation time can be increased according to the magnitude of deformation. In this work, the advanced S-chain algorithm is used to calculate the repulsive torque according to spin motion. Finally, haptic architecture was constructed using this S-chain model by incorporating the virtual organ with a real master device, which allows the repulsive force and target position to be transferred to each other. The control performance of S-chain algorithm has been evaluated via experiment.