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  • In Jour Smart Sensing And Intelligent Systems

 

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

research-article | 30-November-2019

Evaluation of navigation system of a robot designed for greenhouse spraying

and the movement was controlled by a solenoid control valve. The tractor proposed by Iida and Burks (2002) is equipped with ultrasonic sensors and make it possible to estimate the instantaneous distance between the vehicle and three rows of the canopy. They also proved the capabilities of the system consisted of the fuzzy PD controller and the ultrasonic sensor. In other study, analyzed and researched motion control strategies and methods of design for an agricultural robot that acquires

Hossein Mosalanejad, Saeid Minaei, Alimohammad Borghei, Behfar Farzaneh

International Journal on Smart Sensing and Intelligent Systems, Volume 13 , ISSUE 1, 1–9

Research Article | 13-December-2017

SENSORS FOR MONITORING COMPONENTS, SYSTEMS AND PROCESSES

T. Jayakumar, C.Babu Rao, John Philip, C.K. Mukhopadhyay, J. Jayapandian, C. Pandian

International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 1, 61–74

research-article | 30-November-2020

Improving sand flow rate measurement using the wavelet transform and ultrasonic sensors

research flow chart for using ultrasonic sensor & wavelet transform for measuring sand flow rate. A background review is now provided in which the ultrasonic sensors and wavelet transform method used in this research are explained. Then, the details of the test setup used for this research is elaborated. Then, the results and discussions are presented about applying a wavelet transform to ultrasonic sensor data for measuring sand flow rate. Ultrasonic sensors are widely used by the petroleum

H. Seraj*, B. Evans, M. Sarmadivaleh

International Journal on Smart Sensing and Intelligent Systems, Volume 14 , ISSUE 1, 1–13

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