• Agricultural and Biosystems Engineering
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• v.4 no.1
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• pp.8-15
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• 2003

In Korea, quality evaluation of dried oak mushrooms are done first by classifying them into more than 10 different categories based on the state of opening of the cap, surface pattern, and colors. And mushrooms of each category are further classified into 3 or 4 groups based on its shape and size, resulting into total 30 to 40 different grades. Quality evaluation and sorting based on the external visual features are usually done manually. Since visual features of mushroom affecting quality grades are distributed over the entire surface of the mushroom, both front (cap) and back (stem and gill) surfaces should be inspected thoroughly. In fact, it is almost impossible for human to inspect every mushroom, especially when they are fed continuously via conveyor. In this paper, considering real time on-line system implementation, image processing algorithms utilizing artificial neural network have been developed for the quality grading of a mushroom. The neural network based image processing utilized the raw gray value image of fed mushrooms captured by the camera without any complex image processing such as feature enhancement and extraction to identify the feeding state and to grade the quality of a mushroom. Developed algorithms were implemented to the prototype on-line grading and sorting system. The prototype was developed to simplify the system requirement and the overall mechanism. The system was composed of automatic devices for mushroom feeding and handling, a set of computer vision system with lighting chamber, one chip microprocessor based controller, and pneumatic actuators. The proposed grading scheme was tested using the prototype. Network training for the feeding state recognition and grading was done using static images. 200 samples (20 grade levels and 10 per each grade) were used for training. 300 samples (20 grade levels and 15 per each grade) were used to validate the trained network. By changing orientation of each sample, 600 data sets were made for the test and the trained network showed around 91 % of the grading accuracy. Though image processing itself required approximately less than 0.3 second depending on a mushroom, because of the actuating device and control response, average 0.6 to 0.7 second was required for grading and sorting of a mushroom resulting into the processing capability of 5,000/hr to 6,000/hr.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.10
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• pp.82-90
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• 2013

An Optical Network-on-Chip(ONoC) based on silicon photonics is one of promising technology for next generation exascale computing architectures. Recent active researches on ONoC focus on improving bandwidth further and avoiding path collisions by using wavelength division multiplexing (WDM). However, the number of wavelengths used for the WDM increases linearly as the number of Processing Element (PE) increases in existing ONoCs which adopt centralized routing architecture. The problem will also arises growing cost of optical devices such as light switches and light sources and limits the scalability of ONoC due to the sinal loss caused by interference of distinct light sources. In this paper, we proposes a distributed routing architecture for ONoC which is based on 2D-mesh structure using WDM technique and present a method that minimize the required number of wavelengths exploiting the connectivity of communication. In comparison with existing centralized routing architectures, results show reduction by 56% of the number of wavelengths and 21% of the number of optical switches in $8{\times}8$ networks.

• The Journal of the Korea Contents Association
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• v.8 no.5
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• pp.104-112
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• 2008

RFID/USN is considered important basic infra of ubiquitous community and tried practical adaption through various research. Specially, there is during researcher progresses for stock and state management of logistics to let you get at u-mart systems. It discern thing from warehouse to deliver as adhere RFID tag of palette in keeping unit of article and construct form of thing to analyze information of environment status using sence module based on function of wireless communication. in the paper, propose composition of customer satisfaction system using RFID chip in u-Mart status management system based on RFID/USN and according to analysis specific information of commodity, propose movement reader device to offer real-time information from customer. And it presents the improvement program for the provision of product information which is appropriate uses the RFID chip and the provision of control information in the customer who is a core of consuming.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.11
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• pp.801-805
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• 2009

Hardware based dynamic voltage and frequency scaling is a promising technique to reduce power consumption in a globally asynchronous locally synchronous system such as a homogeneous or heterogeneous multi-core system. In this paper, FPGA prototype design of hardware based dynamic frequency scaling is proposed. The proposed techniques are applied to a FIFO based multi-core system for a software defined radio and Network-on-Chip based hardware MPEG2 encoder. Compared with a references system using a single global clock, the first prototype design reduces the power consumption by 78%, but decreases the performance by 5.9%. The second prototype design shows that power consumption decreases by 29.1% while performance decreases by 0.36%.

• Asia pacific journal of information systems
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• v.34 no.1
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• pp.150-190
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• 2024

This article proposes a framework to elucidate the structural dynamics of the generative AI ecosystem. It also outlines the practical application of this proposed framework through illustrative policies, with a specific emphasis on the development of the Korean generative AI ecosystem and its implications of platform strategies at AI platform-squared. We propose a comprehensive classification scheme within generative AI ecosystems, including app builders, technology partners, app stores, foundational AI models operating as operating systems, cloud services, and chip manufacturers. The market competitiveness for both app builders and technology partners will be highly contingent on their ability to effectively navigate the customer decision journey (CDJ) while offering localized services that fill the gaps left by foundational models. The strategically important platform of platforms in the generative AI ecosystem (i.e., AI platform-squared) is constituted by app stores, foundational AIs as operating systems, and cloud services. A few companies, primarily in the U.S. and China, are projected to dominate this AI platform squared, and consequently, they are likely to become the primary targets of non-market strategies by diverse governments and communities. Korea still has chances in AI platform-squared, but the window of opportunities is narrowing. A cautious approach is necessary when considering potential regulations for domestic large AI models and platforms. Hastily importing foreign regulatory frameworks and non-market strategies, such as those from Europe, could overlook the essential hierarchical structure that our framework underscores. Our study suggests a clear strategic pathway for Korea to emerge as a generative AI powerhouse. As one of the few countries boasting significant companies within the foundational AI models (which need to collaborate with each other) and chip manufacturing sectors, it is vital for Korea to leverage its unique position and strategically penetrate the platform-squared segment-app stores, operating systems, and cloud services. Given the potential network effects and winner-takes-all dynamics in AI platform-squared, this endeavor is of immediate urgency. To facilitate this transition, it is recommended that the government implement promotional policies that strategically nurture these AI platform-squared, rather than restrict them through regulations and stakeholder pressures.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1897-1900
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• 2004

In recent years, a lot of industrial equipments have serial communication channel such as FieldBus (CAN, Profibus, etc.) or Ethernet that provides real time communication between industrial equipments. Theses applications include gantry crane, robot, chip mounter, etc.. In this paper, we discuss the synchronization technique for networked multi-motor systems where controllers (commercial servo amps) are distributed and interconnected by CAN (Controller Area Networks). We first describe the equivalent model for the individual servo-amp and motor using the frequency response. We design the $H{\infty}$ controller for motion synchronization. Finally, the synchronization technique using the equivalent model and the $H{\infty}$ controller is verified by the simulation and the experiment.

• Electronics and Telecommunications Trends
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• v.35 no.3
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• pp.76-84
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• 2020

Neuromorphic hardware refers to brain-inspired computers or components that model an artificial neural network comprising densely connected parallel neurons and synapses. The major element in the widespread deployment of neural networks in embedded devices are efficient architecture for neuromorphic hardware with regard to performance, power consumption, and chip area. Spiking neural networks (SiNNs) are brain-inspired in which the communication among neurons is modeled in the form of spikes. Owing to brainlike operating modes, SNNs can be power efficient. However, issues still exist with research and actual application of SNNs. In this issue, we focus on the technology development cases and market trends of two typical tracks, which are listed above, from the point of view of artificial intelligence neuromorphic circuits and subsequently describe their future development prospects.

• Journal of Ocean Engineering and Technology
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• v.10 no.3
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• pp.162-167
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• 1996

This paper deals with an implementation method for the one chip microprocessor(8097)-based capacitance type wave recorder for a measuring real-time wave height. The system was developed to make it possible to real-time remote sensing the wave height by deploying the RS-232/422/485 communication methods. The system test results for the developed system such as linearity, system stability and robustness of the disturbance was also verified through the performance tests of the system. Furthermore, the system was developed after due consideration with connecting the public network such as satellite mobile communication system and LAN, through the deploying VLSI(Very Large Scale Integration) design techniques.

• Review of KIISC
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• v.17 no.1
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• pp.38-46
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• 2007

유비쿼터스 네트워크(u-network)를 통해 u-health의 개념이 실현됨에 있어 생체 신호를 최초로 측정, 처리하는 부분의 생체 신호 측정용 칩들에 대한 최근 기술 개발 동향을 기술하였다. 이러한 추세에 맞추어 여러 가지 핵심 기술들이 부상하고 있지만, 본 기고에서는 이러한 시스템의 최종 하위 계층, 즉 단말기 등의 부분에 적용되는 bio 관련 시스템 반도체 칩(SoC : system-on-a-chip)에 대해 기술한다. 바이오 칩 중, 기존의 광을 사용하지 않고 값 싸게 구현 할 수 있는 CMOS 기반의 DNA 칩 개발 동향을 살펴보았으며, 신약 개발이나 치료에 사용할 수 있도록 신경 신호 전달을 검출할 수 있는 신경 신호 전달 측정 칩들의 기술 개발도 살펴보았다. 개인의 의료 생체정보를 모니터링 할 수 있도록 심전도, 근전도, 뇌파, 산소포화도, 체지방 등을 측정할 수 있는 의료용 칩들의 개발 현황도 살펴보았다.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.05a
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• pp.270-274
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• 2005

The human beings have increased concern about Energy saving and alternative energy. The power demand has increased the growth of industry and the improvement of life. We have to explore alternate energy sources and utilize effectively domestic resources. The lighting equipments developed Energy saving by using an electric ballast. The load installation should be promoted to rational power management, according to the network, inteligent, and high-function. Therefore, this paper has studied the method of energy saving and consulting.