scholarly journals Architecture of Atwood Machine Props with Sensor-based Passive Infrared

2018 ◽  
Vol 1 (1) ◽  
pp. 15 ◽  
Author(s):  
Dandan Luhur Saraswati ◽  
Delia Achadina Putri
Keyword(s):  
Data Analysis ◽  
Machine Tool ◽  
Infrared Sensors ◽  
Physics Laboratory ◽  
Earth Gravity ◽  
Analysis Experiment ◽  
Acceleration Of Gravity ◽  
Passive Infrared

The aim of this research is to develop Atwood machine propswith sensor-based PIR (Passive Infrared) to determine the acceleration value of earth gravity. This type of research is an experiment conducted in the physics laboratory of Universitas Indraprasta PGRI. Atwood machine was developed by using PIR (Passive Infrared) sensors to detect the movement of the objects used. Based on the trialof the result of the data analysis experiment tool, the acceleration of gravity was obtained (9.87 ± 0.08) m/s2. Whereas the value of acceleration of gravity in the literature is 9,80665 m/s2. The obtained results shows that the acceleration of gravity obtained in this research is not much different from the acceleration value of gravity  found in the literature so that Atwood machine tool that is developed by using PIR sensor is recommended to be one alternative tool in determining the acceleration of earth gravity.

Test bed for measurement of angular parameters of passive infrared sensors

2007 ◽  
Vol 49 (3) ◽  
pp. 198-201 ◽  
Author(s):  
M. Kastek ◽  
H. Madura ◽  
M. Morawski ◽  
T. Piatkowski ◽  
E. Powiada ◽  
...  
Keyword(s):  
Test Bed ◽  
Infrared Sensors ◽  
Passive Infrared

Passive Pedestrian Detection at Unsignalized Crossings

1998 ◽  
Vol 1636 (1) ◽  
pp. 96-103 ◽  
Author(s):  
Dana M. Beckwith ◽  
Katharine M. Hunter-Zaworski
Keyword(s):  
Quality Function Deployment ◽  
Doppler Radar ◽  
Pedestrian Detection ◽  
Future Research ◽  
Operating Characteristics ◽  
Infrared Sensors ◽  
Decision Matrix ◽  
Microwave Radar ◽  
Pedestrian Crossing ◽  
Passive Infrared

The city of Portland, Oregon, is researching ways to provide safe unsignalized crossings for pedestrians. A concept that shows promise is known as passive pedestrian detection. Passive pedestrian detection is the detection of pedestrians in a stationary or moving state at the curbside of or in a pedestrian crossing by means other than those requiring physical response by the pedestrian. Research was conducted to find sensor technologies that can be used to passively detect pedestrians. Five technologies were found to be options for this type of detection: passive infrared, ultrasonic, microwave radar, video imaging, and piezometric. Of these five technologies, passive infrared, ultrasonic, and microwave radar were selected for testing. An unbiased selection of sensors was made by using a decision matrix in the form of the quality function deployment method, which also provides a record of sensor information for future research. Preliminary testing was conducted on the sensors to ensure that the detection of pedestrians was possible and to determine sensor operating characteristics. Sensors then went through secondary tests to ensure proper operation at an unsignalized crossing. The secondary test site was retrofitted with reflective pedestrian crossing signs, yellow beacons, Doppler radar, and passive infrared sensors chosen from the preliminary tests. Initial secondary tests have shown promising results for the Doppler radar and especially for the passive infrared sensors. Future applications of passive pedestrian detection in Portland will involve installation of sensors at signalized pedestrian crossings.

scholarly journals Analysis of Dynamic Characteristics for Machine Tools Based on Dynamic Stiffness Sensitivity

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2260
Author(s):  
Chunhui Li ◽  
Zhiqiang Song ◽  
Xianghua Huang ◽  
Hui Zhao ◽  
Xuchu Jiang ◽  
...  
Keyword(s):  
Machine Tool ◽  
Dynamic Characteristics ◽  
Machine Tools ◽  
Dynamic Stiffness ◽  
Variable Stiffness ◽  
Structural Vibration ◽  
Dynamic Experiment ◽  
Machine Tool Structure ◽  
Analysis Experiment ◽  
Five Axis

Dynamic parameters are the intermediate information of the entirety of machine dynamics. The differences between components have not been combined with the structural vibration in the cutting process, so it is difficult to directly represent the dynamic characteristics of the whole machine related to spatial position. This paper presents a method to identify sensitive parts according to the dynamic stiffness-sensitivity algorithm, which represents the dynamic characteristics of the whole machine tool. In this study, two experiments were carried out, the simulation verification experiment (dynamic experiment with variable stiffness) and modal analysis experiment (vibration test of five-axis gantry milling machine). The key modes of sensitive parts obtained by this method can represent the position-related dynamic characteristics of the whole machine. The characteristic obtained is that the inherent properties of machine-tool structure are independent of excitation. The method proposed in this paper can accurately represent the dynamic characteristics of the whole machine tool.

scholarly journals Recovering Human Motion Patterns from Passive Infrared Sensors: A Geometric-Algebra Based Generation-Template-Matching Approach

2019 ◽  
Vol 8 (12) ◽  
pp. 554
Author(s):  
Shengjun Xiao ◽  
Linwang Yuan ◽  
Wen Luo ◽  
Dongshuang Li ◽  
Chunye Zhou ◽  
...  
Keyword(s):  
Geometric Algebra ◽  
Template Matching ◽  
Human Motion ◽  
Object Identification ◽  
Infrared Sensors ◽  
Motion Patterns ◽  
Human Motion Detection ◽  
Searching Strategy ◽  
Activation Data ◽  
Passive Infrared

The low-cost, indoor-feasibility, and non-intrusive characteristic of passive infrared sensors (PIR sensors) makes it widely used in human motion detection, but the limitation of its object identification ability makes it difficult to further analyze in the field of Geographic Information System (GIS). We present a template matching approach based on geometric algebra (GA) that can recover the semantics of different human motion patterns through the binary activation data of PIR sensor networks. A 5-neighborhood model was first designed to represent the azimuth of the sensor network and establish the motion template generation method based on GA coding. Full sets of 36 human motion templates were generated and then classified into eight categories. According to human behavior characteristics, we combined the sub-sequences of activation data to generate all possible semantic sequences by using a matrix-free searching strategy with a spatiotemporal constraint window. The sub-sequences were used to perform the matching operation with the generation-templates. Experiments were conducted using Mitsubishi Electric Research Laboratories (MERL) motion datasets. The results suggest that the sequences of human motion patterns could be efficiently extracted in different observation periods. The extracted sequences of human motion patterns agreed well with the event logs under various circumstances. The verification based on the environment and architectural space shows that the accuracy of the result of our method was up to 96.75%.

Power wire signatures in passive infrared sensors

1994 ◽  
Vol 3 (2) ◽  
pp. 117
Author(s):  
James J. Shea
Keyword(s):  
Infrared Sensors ◽  
Passive Infrared
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