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  • In Jour Smart Sensing And Intelligent Systems
  • International Journal Advanced Network Monitoring Controls

 

Article | 30-November-2018

Readings of Portable UV Spectrum Analyzer Data Based on Raspberry Pi

analysis method is more complicated than the environment humidity, temperature, etc [6]. Based on the above problems, this paper presents a portable UV spectrometer developed using Maya2000Pro UV spectrometer and raspberry pi, according to the UV light wavelength 190nm-290nm, the gas has good absorption of ultraviolet light, and the measurement is absorbed by the gas, after the UV light, which can read through the spectrometer wavelength and photon number. The ultraviolet spectral analysis has the

Xu Shuping, Huang Mengyao, Xu Pei

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 3, 70–76

research-article | 25-August-2020

1/10th scale autonomous vehicle based on convolutional neural network

autonomous vehicles is explored here (Paull et al., 2017; Srinivasa et al., 2019; Miao et al., 2012). In the study of Pannu et al. (2015), a method to build a self-driving car is presented using raspberry pi 2. The research mainly focusses on lane detection and obstacle avoidance using a camera and ultrasonic sensor as its input. A similar approach is shown in Bechtel et al. (2018), where the primary focus of research contribution is the CNN model used in the system. This research paper also compared

Avishkar Seth, Alice James*, Subhas C. Mukhopadhyay

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–17

Article | 01-June-2015

DEVELOPMENT OF WIRELESS SENSOR NETWORK USING BLUETOOTH LOW ENERGY (BLE) FOR CONSTRUCTION NOISE MONITORING

In this paper the development of a Wireless Sensor Network (WSN) for construction noise identification and sound locating is investigated using the novel application of Bluetooth Low Energy (BLE). Three WSNs using different system-on-chip (SoC) devices and networking protocols have been prototyped using a Raspberry Pi as the gateway in the network. The functionality of the system has been demonstrated with data logging experiments and comparisons has been made between the different WSN systems

Josie Hughes, Jize Yan, Kenichi Soga

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 1379–1405

Research Article | 15-February-2020

Laser Profilometry Aiding Smart Vehicle Control

of direction. The processing of the acquired images is directly done on board by means of a low-cost single-board computer, namely the Raspberry Pi. This last is able to extract the information about the distance and the heading of the robot with respect to the rail boundary by analyzing the laser line lying in the camera plane; then, the extracted information expressed in the 3D reference system are sent via User Datagram Protocol to the control system of the vehicle. Results show how the

Cosimo Patruno, Roberto Marani, Massimiliano Nitti, Tiziana D’Orazio, Ettore Stella

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6

Research Article | 15-February-2020

Designing a Wireless Sensors Network for  Monitoring and Predicting Droughts

A Gaddam, M Al-Hrooby, W F Esmael

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–6

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