• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.7
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• pp.623-629
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• 2013

This paper presents the implementation result of the EEG(electroencephalogram) signal transmission protocol and its test platform. EEG measured by a dry-type electrode is directly converted into digital signal by ADC(analog-to-digital converter). Thereafter it is transferred DSP(digital signal processor) platform by $I^2C$(inter-integrated circuit) protocol. DSP conducts the pre-processing of EEG and extracts feature vectors of EEG. In this work, we implement the $I^2C$ protocol with 16 channels by using 10 or 12-bit ADC. In the implementation results, the overhead ratio for the 4 bytes data burst transmission measures 2.16 and the total data rates are 345.6 kbps and 414.72 kbps with 10-bit and 12-bit 1 ksps ADC, respectively. Therefore, in order to support a high speed mode of $I^2C$ for 400 kbps, it is required to use 16:1 and $(8:1){\times}2$ ratios for slave:master in 10-bit ADC and 12-bit ADC, respectively.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2012.06a
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• pp.233-233
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• 2012

다수의 서보모터를 효과적으로 제어하기 위하여 I2C(Inter-Integrated Circuit)통신을 이용하는 네트워크기반의 서보모터에 적합한 프로토콜의 시퀀스를 설계하고 이에 대한 성능을 분석 및 실험 하였다. 그 결과 다수의 서보 모터로 구성된 네트워크 통신은 데이터 손실 없이 안정적인 통신이 이루어지고 원활하게 서보모터가 제어되는 것을 확인하였다.

• Journal of IKEEE
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• v.26 no.3
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• pp.437-444
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• 2022

This paper proposes a CRC error verification method for SPI and I2C buses of automotive semiconductors. In automotive semiconductors, when an error occurs in communication and an incorrect value is transmitted, fatal results may occur. Unlike LIN communication and CAN communication, in communication such as SPI and I2C, there is no frame for detecting an error, so some definitions of new standards are required. Therefore, in this paper, the CRC error detection mode is newly defined in the SPI and I2C communication protocols, and the verification is presented by designing it in hardware.

• Journal of Practical Engineering Education
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• v.10 no.2
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• pp.119-124
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• 2018

Educational equipment that enables the user or device to recognize the indoor position by using the acceleration and angular velocity of the IMU (Inertial Measurement Unit) sensor is introduced. With this educational equipment, various position recognition and tracking algorithms can be learned and creative engineering design works can be realized. The data value of the IMU sensor is transmitted to the MCU (microcontroller unit) through $I^2C$ (Inter-Integrated Circuit), and the indoor position recognition algorithm is applied by processing the data value through the filter and numerical method. It is then designed to use wireless communication to send and receive processed values and to be recognized by the user. As an example using this equipament, the case of "Implementation and recognition of virtual position using computation of moving direction and distance using IMU sensor" is introduced, and various creative engineering design application is discussed.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.77-79
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• 2014

본 논문에서는 Arduino의 I2C 통신을 통해 인터랙티브한 악기를 제안한다. 각각의 큐브는 서로를 인식하고 인식 후 집단이 된 큐브들은 하나의 악기가 된다. Arduino의 통신 핀을 알루미늄 호일에 연결하여 다른 큐브와 접촉 시 통신이 될 수 있도록 하였다. 통신이 이룬 큐브들을 rgbLED 색상 변화를 통해 시각적으로 접촉/비접촉을 나타냈다. 또한 Processing을 통해 그룹이 된 큐브들의 악기 소리를 제어하였다.

• Journal of Practical Engineering Education
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• v.8 no.2
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• pp.111-120
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• 2016

Education equipment for field programmable gate array (FPGA) design of sensor-based IOT (Internet Of Thing) system is introduced. Because sensors have different interfaces, several types of interface controller on FPGA need. Using this equipment, several types of interface controller, which can control ADC (analog-to-digital converter) for analog sensor outputs and $I^2C$ (Inter-Integrated Circuit), SPI (Serial Peripheral Interface Bus), and GPIO (General-Purpose Input/Output) for digital sensor outputs, can be designed on FPGA. Image processing hardware using image sensors and display controller for real and image-processed images or videos can be design on FPGA chip. This equipment can design a SOC (System On Chip) consisting of a hard process core on Linux OS and a FPGA block for IOT system which can communicate with wire and wireless networks. Using the education equipment, an example of hardware design using image sensor and accelerometer is described, and an example of syllabus for "Digital system design using FPGA" course is introduced. Using the education equipment, students can develop the ability to design some hardware, and to train the ability for the creative capstone design through conceptual, partial-level, and detail designs.

• Journal of IKEEE
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• v.20 no.3
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• pp.260-264
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• 2016

The MAX77846, which is compatible with MAX77826, is a sub-power management IC (PMIC) for the latest Wearable Watch and 3G/4G smart phones. The MAX77846 contains N-MOSFET (N channel Metal-Oxide Semiconductor Field-Effect Transistor), a high-efficiency regulator, and comparator, etc to power up peripherals. The MAX77846 also provides power on/off control logic for complete flexibility and an $I^2C$ (Inter Integrated Circuit) serial interface to program individual regulator output voltages. In this paper, the simplified power macro-model based on MAX77846 is designed to verify the performance of the battery voltage in terms of current and time, and simulated by using of the LTspice. In addition, it is verified how much time can the charged battery capacity for Samsung Galaxy Gear 2 be used to operate a specified function after measuring the currents flowing to carry out the main functions in real time, which will be applicable to design parameters for the advanced power module