• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 하계종합학술대회 논문집(2)
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• pp.407-410
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• 2004

This paper describes an embedded system to put a SoC actuator IP in motion and linux drivers. The If that a embedded linux among embedded OS is ported is implemented as linux driver. The actuator IP is controlled by application programming. To make users use this easily, a QT is ported on the system. Application program can operate the actuator IP device driver on TFT LCD.

• 한국재료학회:학술대회논문집
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• 한국재료학회 2005년도 춘계학술발표대회 및 제8회 신소재 심포지엄 논문개요집
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• pp.110-110
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• 2005

• 대한임베디드공학회논문지
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• 제7권3호
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• pp.151-156
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• 2012

When mounting the sensor device in the way of Plug&Play, sensor device drivers need to be loaded and linked dynamically. Since a sensor node platform is based on small 8 bit MCU, dynamic loading and linking technique used in Windows and Linux can not be applied. In this paper, we present how to link and load dynamically sensor device drivers for sensor device Plug&Play. We implement a prototype and evaluate it to make sure that there is no performance degradation like sensor device driver connection speed and memory usage. Connection speed overhead increases to 0.2ms. Memory usage overhead increases to hundreds byte. It shows that there is no heavy influence in running the actual program.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.436-438
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• 2007

As the sensors and communication technology get advance, the remote health diagnosis for patients and senior persons at home are possible now without visiting doctors in hospitals. A low-power ubiquitous health check device was developed adapting Real-Time Embedded Linux is developed. This ubiquitous device is consisted of three sensors. The wrist type health checking terminal acquires periodically the health data by using a blood pressure sensor, a pulse sensor and a body temperature sensor. It transmits the health data to the access point located at the home center through the ZigBee wireless communication modem. This health data collector or access point device sends the data again to the main server operated in a hospital or health care organization. The health server control continuously the input data and sends an alarm signal to the assigned. doctor and responsible persons using cellular SMS when any dangerous events occur. This wrist type health check device has an embedded linux OS using Intel PAX255 MPU. The developed U-Health system is applicable for checking patients health in remote at home. And their family or related persons in remote site can check the patients health status at any time. They can be assured by receiving SMS record and alarm of emergency case which is transmitted from the health server.

• 한국지능시스템학회논문지
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• 제20권3호
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• pp.362-367
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• 2010

본 연구에서는 기존 CCTV 시스템의 고정되어 있는 감시지역과 카메라의 움직임을 수동으로 조작하는 단점을 보완 할 수 있는 영상 감시 시스템을 개발하기 위해 FPGA 기반 Nios II 임베디드 프로세서 시스템과 Linux 디바이스 드라이버를 구현하였다. Altera Nios II 프로세서 8.0부터 메모리를 안정되고 효율적으로 관리할 수 있는 MMU를 지원하고 있다. 각종 응용에 유연하고 적응성이 뛰어난 Altera Nios II 소프트코어 프로세서 시스템을 이용하여 영상감시 관제 하드웨어를 구성하였고, Linux 기반 Nios II 시스템의 카메라 디바이스 드라이버와 VGA 디바이스 드라이버를 구현함으로써 Nios II 시스템을 위한 영상 감시 시스템을 구현할 수 있었다.

• Journal of Welding and Joining
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• 제31권3호
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• pp.84-88
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• 2013

These days embedded technology may be the most significant development in the electronics industry. The study focused on the development of active device embedding using flexible printed circuit in view of process and materials. The authors fabricated 30um thickness Si chip without any crack, chipping defects with a dicing before grinding process. In order to embed chips into flexible PCB, the chip pads on a chip are connected to bonding pad on flexible PCB using an ACF film. After packaging, all sample were tested by the O/S test and carried out the reliability test. All samples passed environmental reliability test. In the future, this technology will be applied to the wearable electronics and flexible display in the variety of electronics product.

• 정보처리학회논문지A
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• 제9A권4호
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• pp.451-458
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• 2002

본 논문에서는 내장형 리눅스를 이용한 RAID 시스템의 하드웨어 구현 방법을 제시하고 성능을 측정하여 본 시스템의 장단점을 제시한다. 파이버 채널 디스크와 호스트와의정합을 위하여 세 개리 파이버 채널 제어기를 포함하는 하드웨어를 설계 제작하였으며, 이하드웨어 위에 내장형 리눅스를 이식하고 RAID 소프트웨어를 구현하였다. RAID 기능을 위하여 SCSI 목표 모드 디바이스 드라이버와 목표 모드 SCSI 모듈을 구현하여 호스트 컴퓨터에게 SCSI 블록 디바이스를 제공한다. 또한 RAID의 기능을 위하여 리눅스의 Multi-device 모듈을 사용하였고, 높은 성능을 제공하기 위하여 Multi-device 모듈과 목표 모드 SCSI 모듈의 사이에서 연동하는 데이터 캐쉬 모듈을 구현하였다. 리눅스의 RAID 5 모듈을 수정하여, 읽기 성능을 대폭 향상시켰다. 벤치마크는 새로운 RAID 5모듈이 기존의방법보다 전체적인 성능에서 우수함을 보여준다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.33-35
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• 2004

In this paper, web based monitoring systems are implemented for multi-axis force control systems of an intelligent robot. Linux operating systems are ported to an embedded system which Include a Xscale processor to implement a web based monitoring system. A device driver is developed to receive data from multi-axis force sensors of intelligent robots. To control this device driver, a socket program for Labview is also developed.

• 대한임베디드공학회논문지
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• 제15권5호
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• pp.205-214
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• 2020

With the recent development of hardware and software technology, interest in the development of wearable devices is increasing. In particular, wearable devices require algorithms suitable for low-power and low-capacity embedded devices. Among them, there is an increasing demand for a signal compression algorithm that reduces communication overhead, in order to increase the efficiency of storage and transmission of electrocardiogram (ECG) signals requiring long-time measurement. Because normal beats occupy most of the signal with similar shapes, a high rate of signal compression is possible if normal beats are represented by a template. In this paper, we propose an algorithm for determining the normal beat template using the template cluster and Pearson similarity. Also, the template is expressed effectively as a few vertices through linear approximation algorithm. In experiment of Datum 234 of MIT-BIH arrhythmia database (MIT-BIH ADB) provided by Physionet, a compression ratio was 33.44:1, and an average distribution of root mean square error (RMSE) was 1.55%.

• 대한임베디드공학회논문지
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• 제18권3호
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• pp.89-100
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• 2023

Recently, on-device artificial intelligence (AI) solutions using mobile devices and embedded edge devices have emerged in various fields, such as computer vision, to address network traffic burdens, low-energy operations, and security problems. Although vision transformer deep learning models have outperformed conventional convolutional neural network (CNN) models in computer vision, they require more computations and parameters than CNN models. Thus, they are not directly applicable to embedded edge devices with limited hardware resources. Many researchers have proposed various model compression methods or lightweight architectures for vision transformers; however, there are only a few studies evaluating the effects of model compression techniques of vision transformers on performance. Regarding this problem, this paper presents a performance evaluation of vision transformers on embedded platforms. We investigated the behaviors of three vision transformers: DeiT, LeViT, and MobileViT. Each model performance was evaluated by accuracy and inference time on edge devices using the ImageNet dataset. We assessed the effects of the quantization method applied to the models on latency enhancement and accuracy degradation by profiling the proportion of response time occupied by major operations. In addition, we evaluated the performance of each model on GPU and EdgeTPU-based edge devices. In our experimental results, LeViT showed the best performance in CPU-based edge devices, and DeiT-small showed the highest performance improvement in GPU-based edge devices. In addition, only MobileViT models showed performance improvement on EdgeTPU. Summarizing the analysis results through profiling, the degree of performance improvement of each vision transformer model was highly dependent on the proportion of parts that could be optimized in the target edge device. In summary, to apply vision transformers to on-device AI solutions, either proper operation composition and optimizations specific to target edge devices must be considered.