• Journal of Advanced Marine Engineering and Technology
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• v.32 no.1
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• pp.162-168
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• 2008

In this paper, we analyzed the heat transfer phenomenon and the reset current variation of PRAM device with thickness of phase change material using the 3-D finite element analysis tool. From the simulation, Joule's heat was generated at the contact surface of phase change material and bottom electrode of PRAM. As the thickness of phase change material was decreased, the reset current was highly increased. In case thickness of phase change material thin film was $200\;{\AA}$, heat increased through top electrode and reset current caused by phase transition highly increased. And as thermal conductivity of top electrode decreased, temperature of unit memory cell was increased.

• Proceedings of the IEEK Conference
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• 2002.06e
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• pp.235-238
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• 2002

This paper proposes a novel scheme of designating non-cacheable addresses of memories in embedded systems of multi-master architectures without a Memory Management Unit (MMU). As a solution for data coherency problem between external memories and a cache memory, we proposes a cache masking scheme by allocating the most significant bit of address not used in 32-bit address system as indicator bit to designate non-cacheable address. As this scheme enables non-cacheable area designation every address, the simpler in the aspect of hardware and more flexible size of non-cacheable area can be obtained.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.768-771
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• 2007

Recently, Nand flash memory is widely used for digital equipments and its capacity and performance are rapidly improving. The limit on the number of writings and readings to/from Nand flash memory does not guarantee the integrity of its data. Therefore, ECC algorithm should be applied to the Nand flash controller. To reduce the access time, we use the look-up table to implement the ECC algorithm instead of the conventional logic gates.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.28B no.5
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• pp.327-334
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• 1991

This paper proposes an efficient method of implementing the generalized Hough transform (GHT), which has been hindered by an excessive computing load and a large memory requirement. The conventional algorithm requires a parameter space of 4 dimensions in detection a rotated, scaled, and translated object in an input image. Prior to the application of GHT to the input image, the proposed method determines the angle of rotation and the scaling factor of the test image using the proportion of the edge components between the reference image and test image. With the rotation angle and the scaling factor already determined, the parameter spaceis to be reduced to a simple array of 2 dimensions by applying the unit GHT only one time. The experiments with the image of airplanes reveal that both of the computing time and the requires memory size are reduced by 95 percent, without any degradatationof accuracy, compared with the conventional GHT algorithm.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.02a
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• pp.388-388
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• 2013

현대 사회에서 고집적 및 고성능의 전자소자의 필요성은 지속적으로 요구되고 있으며, 투명하거나 플렉서블한 특성의 필요성에 따라 이에 대한 기술개발이 이루어지고 있다. 특히, 이러한 특성을 만족하면서 대면적화 및 저온 공정의 특성을 지니는 유기물 반도체가 주목받고 있고, 이를 이용하여 OLED (Organic Light Emitting Diode), OTFT (Organic Thin Film Transistor)와 같은 다양한 유기물 반도체 소자가 개발되고 있다. 대표적인 예로는이 있다. 유기물 반도체 소자의 특성을 이용한 메모리 소자 또한 연구 및 개발이 지속되고 있으며, 유연성과 낮은 공정가격 등의 특성을 가지는 나노 입자들이 기존 Floating Gate의 대체물로 각광받고 있다. 본 논문에서는 MIS (Metal/Insulator/Semiconductor) 구조를 제작하고, Insulator 내부에Core/Shell 구조를 가지는 CdSe/ZnS 나노 입자를 부착하여 메모리 소자의 특성 확인 및 단위 면적당 개수에 따른 특성 변화를 확인하고자 하였다. 합성된 PVP (Poly 4-Vinyl Phenol)를 Insulator 층으로 사용하였으며 단위 면적당 나노 입자의 개수를 조절하여 제작된 MIS 소자를 Capacitance versus Voltage (C-V) 측정을 통하여 변화특성을 확인하였다.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.24 no.9
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• pp.710-712
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• 2011

In this study, we fabricate resistive switching random access memory (ReRAM) devices constructed with a Al/$HfO_2$/ITO structure on glass substrates and investigate their memory characteristics. The hafnium oxide thin film used as a resistive switching layer is sputtered at room temperature in a sputtering system with a cooling unit. The Al/$HfO_2$/ITO device exhibits bipolar resistive switching characteristics, and the ratio of the high resistance (HRS) to low resistance states (LRS) is more than 60. In addition, the resistance ratio maintains even after $10^4$ seconds.

• 한국정보통신설비학회:학술대회논문집
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• 2008.08a
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• pp.257-261
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• 2008

The Digital Radio Mondiale (DRM) system is a digital broadcasting standard designed for use in the LF, MF and HF bands of the broadcasting bands below 30 MHz. The system provides both superior audio quality and improved user services / operability compared with existing AM transmissions. In this paper, we propose a variable point Prime Factor FFT design method for Digital Radio Mondiale (DRM) system. Proposed method processes a various size IFFT/FFT of Robustness Mode on DRM standard efficiently by composing Radix-Prime Factor FFT Processing Unit of form similar to Radix-4 by insertion of a variable Prime Factor Twiddle Factor and Garbage data. So, we improved limitation that cannot process 112/176/256/288 FFT of each mode of DRM system with a existent Radix Processor and increase memory size and memory access time for IFFT/FFT processing by software processing in case of implementation with a existent high speed DSP.

• Journal of Information Processing Systems
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• v.14 no.3
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• pp.600-606
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• 2018

Smart city is currently the main direction of development. The automatic management of instrumentation is one task of the smart city. Because there are a lot of old instrumentation in the city that cannot be replaced promptly, how to makes low-cost transformation with Internet of Thing (IoT) becomes a problem. This article gives a low-cost method that can identify code wheel instrument information. This method can effectively identify the information of image as the digital information. Because this method does not require a lot of memory or complicated calculation, it can be deployed on a cheap microcontroller unit (MCU) with low read-only memory (ROM). At the end of this article, test result is given. Using this method to modify the old instrumentation can achieve the automatic management of instrumentation and can help build a smart city.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.56 no.2
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• pp.243-252
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• 2023

Fluctuations in the price of aquaculture products have recently intensified. In particular, wholesale price fluctuations are adversely affecting consumers. Therefore, there is an emerging need for a study on forecasting the wholesale price of aquaculture products. The present study forecasted the wholesale price of olive flounder Paralichthys olivaceus, a representative farmed fish species in Korea, by constructing multivariate long-short term memory (LSTM) and gated recurrent unit (GRU) models. These deep learning models have recently been proven to be effective for forecasting in various fields. A total of 191 monthly data obtained for 17 variables were used to train and test the models. The results showed that the mean average percent error of LSTM and GRU models were 2.19% and 2.68%, respectively.

• Journal of Positioning, Navigation, and Timing
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• v.13 no.2
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• pp.137-147
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• 2024

This paper presents a novel Long Short-Term Memory (LSTM) network architecture for the integration of an Inertial Measurement Unit (IMU) and Global Navigation Satellite Systems (GNSS). The proposed algorithm consists of two independent LSTM networks and the LSTM networks are trained to predict attitudes and velocities from the sequence of IMU measurements and mechanization solutions. In this paper, three GNSS receivers are used to provide Real Time Kinematic (RTK) GNSS attitude and position information of a vehicle, and the information is used as a target output while training the network. The performance of the proposed method was evaluated with both experimental and simulation data using a lowcost IMU and three RTK-GNSS receivers. The test results showed that the proposed LSTM network could improve positioning accuracy by more than 90% compared to the position solutions obtained using a conventional Kalman filter based IMU/GNSS integration for more than 30 seconds of GNSS outages.