Using novel mobile sensors to assess stress and smoking lapse

2020 ◽  
Vol 158 ◽  
pp. 411-418
Author(s):  
Motohiro Nakajima ◽  
Andrine M. Lemieux ◽  
Mark Fiecas ◽  
Soujanya Chatterjee ◽  
Hillol Sarker ◽  
...  
Keyword(s):  
Mobile Sensors ◽  
Smoking Lapse

Dynamic Self-Efficacy and Outcome Expectancies: Prediction of Smoking Lapse and Relapse.

2005 ◽  
Vol 114 (4) ◽  
pp. 661-675 ◽  
Author(s):  
Chad J. Gwaltney ◽  
Saul Shiffman ◽  
Mark H. Balabanis ◽  
Jean A. Paty
Keyword(s):  
Self Efficacy ◽  
Outcome Expectancies ◽  
Smoking Lapse

Assessing Severity of Pulmonary Obstruction from Respiration Phase-Based Wheeze-Sensing Using Mobile Sensors

2020 ◽  
Author(s):  
Soujanya Chatterjee ◽  
Md Mahbubur Rahman ◽  
Tousif Ahmed ◽  
Nazir Saleheen ◽  
Ebrahim Nemati ◽  
...  
Keyword(s):  
Mobile Sensors

scholarly journals Acute effects of low and high dose alcohol on smoking lapse behavior in a laboratory analogue task

2014 ◽  
Vol 231 (24) ◽  
pp. 4649-4657 ◽  
Author(s):  
Christopher W. Kahler ◽  
Jane Metrik ◽  
Nichea S. Spillane ◽  
Anne Day ◽  
Adam M. Leventhal ◽  
...  
Keyword(s):  
High Dose ◽  
Acute Effects ◽  
Smoking Lapse ◽  
Laboratory Analogue ◽  
Lapse Behavior

scholarly journals Continuous trajectory planning of mobile sensors for informative forecasting

Automatica ◽  
2010 ◽  
Vol 46 (8) ◽  
pp. 1266-1275 ◽  
Author(s):  
Han-Lim Choi ◽  
Jonathan P. How
Keyword(s):  
Trajectory Planning ◽  
Mobile Sensors

Handling Failures of Static Sensor Nodes in Wireless Sensor Network by Use of Mobile Sensors

2011 ◽  
Author(s):  
Edison Pignaton de Freitas ◽  
Tales Heimfarth ◽  
Ivayr Farah Netto ◽  
Carlos Eduardo Pereira ◽  
Armando Morado Ferreira ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Mobile Sensors ◽  
Wireless Sensor

Coverage Control for Mobile Sensor Networks on a Circle

2014 ◽  
Vol 02 (03) ◽  
pp. 243-248 ◽  
Author(s):  
Cheng Song ◽  
Gang Feng
Keyword(s):  
Sensor Networks ◽  
Mobile Agents ◽  
Mobile Sensor Networks ◽  
Mobile Sensors ◽  
Mobile Sensor ◽  
Coverage Problem ◽  
Control Laws ◽  
Coverage Control ◽  
Order Preservation ◽  
Multi Agent

This paper investigates the coverage problem for mobile sensor networks on a circle. The goal is to minimize the largest distance from any point on the circle to its nearest sensor while preserving the mobile sensors' order. The coverage problem is translated into a multi-agent consensus problem by showing that the largest distance from any point to its nearest sensor is minimized if the counterclockwise distance between each sensor and its right neighbor reaches a consensus. Distributed control laws are also developed to drive the mobile agents to the optimal configuration with order preservation. Simulation results illustrate the effectiveness of the proposed control laws.

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