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Development of a Sensing Module for Standing and Moving Human Body Using a Shutter and PIR Sensor
Ronnie O. Serfa Juan,Jin Su Kim,Yui Hwan Sa,Hi Seok Kim,Hyeong Woo Cha 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.7
Advances in technology have led to the development of various sensing devices such as on-body and health-care monitoring that can integrate from different sources and can initiate actions or trigger alarms when needed. This paper developed a sensing module of standing and moving human body using a shutter and a pyroelectric infrared (PIR) sensor. The module consists of Fresnel lens, PIR sensor, interface circuit of the PIR, microcontroller unit (MCU), and light emitting diode (LED) as an alarm indicator. The principle for standing human body is to chop the thermal heat of human body utilized by the camera shutter. The human sensed signal is the controlling part of this algorithm, the detected interruption serves as its function. By merging the whole apparatus including the print circuit board (PCB), the developed product of this proposed sensing module can replace the commercially available detector. Experiment results show that sensing distance is about 7.0 meters with a sensing angles of around 110 degrees at room temperature. In these conditions, the sending ratio is 100% and the module’s power dissipation is rated as 100 mW.
Utilization of Artificial Intelligence Techniques for Photovoltaic Applications
Ronnie O. Serfa Juan,Jeha Kim 한국태양광발전학회 2019 Current Photovoltaic Research Vol.7 No.4
Renewable energy is emerging as a reliable alternative source of energy, it is much safer, cleaner than conventional sources and has contributed significantly in this sector. However, there are still some challenges that needed to address this evolving technology. Artificial Intelligence (A. I.) can assess the past, optimize the present, and forecast the future. Therefore, A. I. will resolve most of these problems. Artificial intelligence is complex in nature, but it reduces error and aims to reach a greater degree of precision which make renewables smarter. This paper provides an overview of frequently used A. I. methods in solar energy applications. A sample algorithm is also provided for literature purposes and knowledge transfer.
Using DSP Algorithms for CRC in a CAN Controller
Ronnie O. Serfa Juan,Hi Seok Kim 대한전자공학회 2016 IEIE Transactions on Smart Processing & Computing Vol.5 No.1
A controller area network (CAN) controller is an integral part of an electronic control unit, particularly in an advanced driver assistance system application, and its characteristics should always be advantageous in all aspects of functionality especially in real time application. The cost should be low, while maintaining the functionality and reliability of the technology. However, a CAN protocol implementing serial operation results in slow throughput, especially in a cyclical redundancy checking (CRC) unit. In this paper, digital signal processing (DSP) algorithms are implemented, namely pipelining, unfolding, and retiming the CAN controller in the CRC unit, particularly for the encoder and decoder sections. It must attain a feasible iteration bound, a critical path that is appropriate for a CAN system, and must obtain a superior design of a high-speed parallel circuit for the CRC unit in order to have a faster transmission rate. The source code for the encoder and decoder was formulated in the Verilog hardware description language.