• IEMEK Journal of Embedded Systems and Applications
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• v.7 no.3
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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.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.1
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• pp.31-39
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• 2008

Sensor Node OS should support unified API and efficient sensor device management system to overcome the diversity of sensors and actuators. However, conventional OSs like Tiny-OS and Nano-Q+ do not. In this paper, we propose a sensor device driver management system that present application programmers with unified API and easy deployment of sensors. When a sensor is deployed in our device management system, the device driver is downloaded. This scheme differs from traditional OS like SOS in that only sensor device driver is downloaded, not the whole application image. We designed and implemented the system into Nano-Q+. We described the comparison with other OSs and showed that our system obtains the considerable speedup of downloading.

• Journal of Sensor Science and Technology
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• v.24 no.3
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• pp.175-180
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• 2015

Worldwide, studies on intelligent vehicles for the convenience of drivers have been actively conducted as the number of cars has increased. However, vehicle convenience enabled by buttons lowers the concentration on driving and hence poses as a huge threat to the safety of the driver. The use of one of the convenient features, impaired driving auxiliary equipment, is limited because of its complex usage, and this device also hinders the front view of the driver. This paper proposes a vehicle-control device for controlling the convenient features as well as changes in speed and direction using gestures and motions of the driver. This device consists of an ultrasonic sensor for recognizing movement, an arduino for accepting signal control functions and servo and DC motors apply to various vehicle parts. Firstly, the vehicle-control device was designed using a 3D CAD program known as Solid-works based on the size of the steering wheel. Then, through simulations, a suitable length for minimizing the absorbent between ultrasonic sensors was confirmed using a program known as COMSOL Multiphysics. Finally, simulation results were verified through experiments, and the optimal size of the device was identified through the number of errors.

• Journal of Information Processing Systems
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• v.3 no.1
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• pp.16-20
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• 2007

This paper describes the development of the sensor interface and driver program for a point of care (POC) device. The proposed pac device comprises an ARM9 embedded processor and eight-channel sensor input to measure various bio-signals. It features a user-friendly interface using a full-color TFT-LCD and touch-screen, and a bluetooth wireless communication module. The proposed device is based on the system on a programmable chip (SOPC). We use Altera's Excalibur device, which has an ARM9 and FPGA area on a chip, as a test bed for the development of interface hardware and driver software.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.2
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• pp.329-332
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• 2022

Since IoT devices include various sensors and drivers, application programmers need to understand the structure and characteristics of sensors and actuators. If the manufacturer provides the driver of the sensor or actuator, IoT development can be efficiently carried out, which is called the Plug & Play technique. What matters is that the technique proposed by this research team in the past are not suitable for Arduino or Raspberry-Pi, which are recently used. In this paper, we propose a USB sensor device that can be mounted on a Raspberry-Pi. When the device is plugged into the Raspberry-Pi, the built-in driver is transmitted and played. The configuration of the USB sensor device was presented, and considerations for chip selection for processing sensors and drivers were presented.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.424-432
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• 2009

This paper discusses about the implementation of a simulator for the Navigation Control System(NCS) of bimodal tram. To operate a NCS of bimodal tram, values of all sorts of sensors installed in bimodal tram should be transmitted to the NCS, and the NCS calculates the measured sensor values to determine traveling direction, traveling speed, current position etc. The implementation of the simulator consists of a device applying driver's input transaction function & virtual sensor program and a sub-rack device that controls communication with the NCS to evaluate navigation control function. The virtual sensor program can create routes (map), traveling profiles & seat information et cetera in order to transmit to the NCS, analyzes driver's input values and NCS output values to create virtual sensor values. The sub-rack device takes charge of communication with the NCS using CAN-OPEN, CAN-J1939, MVP protocols. This paper discusses about the implementation of the simulator and afterwards analyzes and evaluates the NCS simulation results.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.6
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• pp.135-139
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• 2009

In order to cope with safety issues regarding fisher vessels, a device is required with the real-time monitoring for the safety and risk factors for a capability of informing and alerting function. In embedded modules, there is a trouble that we should design device drivers and application programs for usage of the multi-function sensors in order to detect risk factors. In this paper, we designed hardware circuit and implemented control program of the sensor part using PIC18F, in order to control and process the input and output data of multi-function sensors without device drivers and application programs. We confirmed the operation of multi-function sensor module to generate output data according to sensor operation.

• Journal of the Speleological Society of Korea
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• no.79
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• pp.47-51
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• 2007

As time goes by, ultrasonic wave is getting important and new technology, which is adapted to ultrasonic wave is used to industry such as home appliance, automobile, and high-tech industry. Especially, ultrasonic wave is used an alarm device whether there are things at the rear of I. It's do important device in automobile system because it can prevent car-accident from inattention of the driver. Actually, there has already been lots of the alarm device. But it's expensive and so difficult to set the device. So almost driver don't set device at their automobile. We focus on these problems. We want to make cheap md easy setting device. Ultrasonic wave sensor emits Ultrasonic-signal at outgoing part and receive part accept the signal. Sensor analyzes the signal and Distance is displayed on LCD of device. The device makes alarm if distance is near from something of rear. The device makes break-system operate to prevent drivers from crashing if distance is so near. This device is portable. So normal deriver can set it easily.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.205-207
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• 2021

The way to develop an IoT device is to mount the sensor required by the application on a platform such as Arduino or Raspberry Pi, and write the sensor driver and application. At this time, if the driving driver for the sensor has already been written and the application can access the driver as a standardized API, then Plug&Play of the sensor will be possible. The old way to do this is because the sensor interface is too complicated to use on the current platform. In this paper, when a standardized sensor and driver with a USB terminal are plugged into the Raspberry Pi, we propose a method for automatically installing the driver. Application developers can get sensor values through Linux's file access API without worrying about sensor drivers. The proposed technique is currently being implemented on Raspberry-Pi.

• Journal of the Ergonomics Society of Korea
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• v.31 no.5
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• pp.637-646
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• 2012

Objective: The aim of this study was to develop the adaptive device for severe physical disabilities using smart device in the driving simulator and its performance evaluation. Development of appropriate driving adaptive device for the people with serious physical limitation could contribute to maintain their community mobility. Background: There is lack of adaptive driving devices for the people with disabilities in Korea. However, if smart device systems like iPod and iPhone are used for driving a car, the people with serious physical limitations can improve their community mobility. Method: Both gyroscope and accelerometer from iPod were used to measure the tilted angle of the smart device for driving. Customized Labview program was also used to control three axis motors for steering wheel, accelerator and brake pedals. Thirteen subjects were involved in the experiment for performance evaluation of smart device in simulator. Five subjects had driver licenses. Another four subjects did not have driver licenses. Others were people with disabilities. Results: Average driving score of the normal group with driver license in the simulator increased 46.6% compared with the normal group without driver license and increased 30.4% compared with the disabled group(p<0.01). There was no significant difference in the average driving score between normal group without driver license and disabled group(p>0.05). Conclusion: The normal group with driver license showed significantly higher driving score than other groups. The normal group without driver license and disabled group could improve their driving skills with training in simulator. Application: If follow-up studies would be continued and applied in adapted vehicle for on road environment, many people with more severe disabilities could drive and improve the quality of life.