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You searched for +publisher:"Dalhousie University" +contributor:("Dr. Yajun Pan"). Showing records 1 – 3 of 3 total matches.

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Dalhousie University

1. Nams, Dainis. ONLINE BANDWIDTH ADAPTATION AND DATA TRACKING OF UNDERWATER ACOUSTIC TRANSMISSIONS TO OPTIMIZE COLLABORATIVE AUV MISSIONS.

Degree: Master of Applied Science, Department of Mechanical Engineering, 2014, Dalhousie University

A method for on-line characterization of in-water acoustic transmission conditions and intelligent adaptation of transmission rates to these conditions is implemented on autonomous underwater vehicles (AUV). The objective is to optimize use of the communications channel during collaborative shallow water missions with other AUVs. A software database cheaply (in terms of bandwidth) tracks the success of transmitted packets, providing operator data tracking in addition to communications layer visibility into current channel conditions. A rate selector chooses optimal transmission rates using an adaptive distance bin approach. Outcomes are improvements in bandwidth, reduction in modem power draw, and increased visibility into data success compared to traditional, constant-rate acoustic communication patterns. Advisors/Committee Members: n/a (external-examiner), Dr. Yajun Pan (graduate-coordinator), Dr. Julio Militzer (thesis-reader), Dr. Thomas Trappenberg (thesis-reader), Dr. Yajun Pan (thesis-supervisor), Dr. Mae Seto (thesis-supervisor), Not Applicable (ethics-approval), Not Applicable (manuscripts), Not Applicable (copyright-release).

Subjects/Keywords: AUV; Acoustic; Underwater; Adaptive; Control

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nams, D. (2014). ONLINE BANDWIDTH ADAPTATION AND DATA TRACKING OF UNDERWATER ACOUSTIC TRANSMISSIONS TO OPTIMIZE COLLABORATIVE AUV MISSIONS. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/56002

Chicago Manual of Style (16th Edition):

Nams, Dainis. “ONLINE BANDWIDTH ADAPTATION AND DATA TRACKING OF UNDERWATER ACOUSTIC TRANSMISSIONS TO OPTIMIZE COLLABORATIVE AUV MISSIONS.” 2014. Masters Thesis, Dalhousie University. Accessed December 07, 2019. http://hdl.handle.net/10222/56002.

MLA Handbook (7th Edition):

Nams, Dainis. “ONLINE BANDWIDTH ADAPTATION AND DATA TRACKING OF UNDERWATER ACOUSTIC TRANSMISSIONS TO OPTIMIZE COLLABORATIVE AUV MISSIONS.” 2014. Web. 07 Dec 2019.

Vancouver:

Nams D. ONLINE BANDWIDTH ADAPTATION AND DATA TRACKING OF UNDERWATER ACOUSTIC TRANSMISSIONS TO OPTIMIZE COLLABORATIVE AUV MISSIONS. [Internet] [Masters thesis]. Dalhousie University; 2014. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10222/56002.

Council of Science Editors:

Nams D. ONLINE BANDWIDTH ADAPTATION AND DATA TRACKING OF UNDERWATER ACOUSTIC TRANSMISSIONS TO OPTIMIZE COLLABORATIVE AUV MISSIONS. [Masters Thesis]. Dalhousie University; 2014. Available from: http://hdl.handle.net/10222/56002


Dalhousie University

2. Williston, Kyle Alexander. Numerical Modeling of Large-Displacement Fluid-Structure Interaction: Preliminary Study Aimed at Analysis of Heart Valve Dynamics.

Degree: MS, Department of Engineering Mathematics, 2012, Dalhousie University

The demand for artificial heart valve replacements is increasing as a result of birth defects, ageing and disease. Collaboration between engineers, biologists and mathematicians is necessary to handle problems related to biocompatibility and fluid dynamics. As a result of the increased demand for artificial heart valves, many new designs have been developed recently. A method to test those designs is to use mathematical modeling. This method has a relatively low-cost and can be used as a preliminary tool before expensive prototypes are created. This research analyzes the use of the numerical modeling software LS-DYNA for large-displacement fluid-structure interaction. It is a preliminary study aimed at the analysis of heart valve dynamics. In particular, a channel with flap model is created in LS-DYNA. The model's physics, convergence and ability to handle large deformations is investigated. Advisors/Committee Members: Dr. Yajun Pan (external-examiner), Dr. William Phillips (graduate-coordinator), Dr. William Phillips (thesis-reader), Dr. Serguei Iakovlev (thesis-supervisor), Not Applicable (ethics-approval), Not Applicable (manuscripts), Not Applicable (copyright-release).

Subjects/Keywords: Fluid-structure Interaction; LS-DYNA; Finite Element Method; Heart Valve Dynamics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Williston, K. A. (2012). Numerical Modeling of Large-Displacement Fluid-Structure Interaction: Preliminary Study Aimed at Analysis of Heart Valve Dynamics. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/15320

Chicago Manual of Style (16th Edition):

Williston, Kyle Alexander. “Numerical Modeling of Large-Displacement Fluid-Structure Interaction: Preliminary Study Aimed at Analysis of Heart Valve Dynamics.” 2012. Masters Thesis, Dalhousie University. Accessed December 07, 2019. http://hdl.handle.net/10222/15320.

MLA Handbook (7th Edition):

Williston, Kyle Alexander. “Numerical Modeling of Large-Displacement Fluid-Structure Interaction: Preliminary Study Aimed at Analysis of Heart Valve Dynamics.” 2012. Web. 07 Dec 2019.

Vancouver:

Williston KA. Numerical Modeling of Large-Displacement Fluid-Structure Interaction: Preliminary Study Aimed at Analysis of Heart Valve Dynamics. [Internet] [Masters thesis]. Dalhousie University; 2012. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10222/15320.

Council of Science Editors:

Williston KA. Numerical Modeling of Large-Displacement Fluid-Structure Interaction: Preliminary Study Aimed at Analysis of Heart Valve Dynamics. [Masters Thesis]. Dalhousie University; 2012. Available from: http://hdl.handle.net/10222/15320


Dalhousie University

3. Zhou, Shijie. A NOVEL TIME-DOMAIN DIAGNOSTIC METHOD FOR ECG SIGNAL SYSTEM BASED ON A SMART-PHONE.

Degree: Master of Applied Science, Department of Electrical & Computer Engineering, 2012, Dalhousie University

This thesis presents a novel method on a Smart-phone for ECG tele-monitoring signal analysis. The proposed system focuses on QRS complex detection, beat classi?cation and arrhythmias classi?cation. In the regular process, the QRS complex is detected by the Pan-Tompkins algorithm and classi?ed as normal sinus rhythms (SRs) or pre- mature ventricular contractions (PVCs) by existing classi?cation methods. Subse- quently, the Lempel-Ziv (LZ) complexity measure, including the K-Means clustering algorithm and the LZ complexity analysis, is utilized to further separate the high risk arrhythmias, ventricular tachycardia (VT) or ventricular ?brillation (VF). In this procedure of the high risk arrhythmias, three consecutive PVC beats in a row are considered to be an indication of the beginning of VT rhythms, at which point the following data points will be saved until up to a certain window length long are reached. The window length long ECG signal will be further classi?ed as VT or VF by several new decision rules with heart rate detection. Furthermore, the proposed system successfully implemented on a Smart-phone adopts the time frames to indicate the analysis report for improving the reliability and error detection of arrhythmias. The new analysis method presents fairly good performance results when applied to testing records chosen from the MIT-BIH database. Advisors/Committee Members: N/A (external-examiner), Dr. Michael Cada (graduate-coordinator), Dr. M.El-Havary (thesis-reader), Dr. Yajun Pan (thesis-reader), Dr. Jason Gu and Dr. Adel Merabet (thesis-supervisor), Not Applicable (ethics-approval), No (manuscripts), No (copyright-release).

Subjects/Keywords: Subject Not Available

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhou, S. (2012). A NOVEL TIME-DOMAIN DIAGNOSTIC METHOD FOR ECG SIGNAL SYSTEM BASED ON A SMART-PHONE. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/15197

Chicago Manual of Style (16th Edition):

Zhou, Shijie. “A NOVEL TIME-DOMAIN DIAGNOSTIC METHOD FOR ECG SIGNAL SYSTEM BASED ON A SMART-PHONE.” 2012. Masters Thesis, Dalhousie University. Accessed December 07, 2019. http://hdl.handle.net/10222/15197.

MLA Handbook (7th Edition):

Zhou, Shijie. “A NOVEL TIME-DOMAIN DIAGNOSTIC METHOD FOR ECG SIGNAL SYSTEM BASED ON A SMART-PHONE.” 2012. Web. 07 Dec 2019.

Vancouver:

Zhou S. A NOVEL TIME-DOMAIN DIAGNOSTIC METHOD FOR ECG SIGNAL SYSTEM BASED ON A SMART-PHONE. [Internet] [Masters thesis]. Dalhousie University; 2012. [cited 2019 Dec 07]. Available from: http://hdl.handle.net/10222/15197.

Council of Science Editors:

Zhou S. A NOVEL TIME-DOMAIN DIAGNOSTIC METHOD FOR ECG SIGNAL SYSTEM BASED ON A SMART-PHONE. [Masters Thesis]. Dalhousie University; 2012. Available from: http://hdl.handle.net/10222/15197

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