A preferred vision for administering secondary schools : a reflective essay

This reflective paper is my vision of the role of a forward looking Secondary Administrator who effectively uses educational research to impact school improvement in a positive fashion. It is, in effect, a snapshot that includes two sections. Some personal history, characteristics, and core values are in the first section. The final section is a composite reflection that synthesizes knowledge, skills, and attitudes gained through coursework and from experience into my professional vision for administrative practice. I think brain compatible computer-assisted learning can be a component of effective education and the research cited reflects that

Use of new technique of image based aimed to perspective return

The diffusion of Image-based 3D modeling techniques, through image-based free, low cost and open source software, have increased drastically in the past few years, especially in Cultural Heritage domain (Architecture, Archeology, Urban planning) [2, 3]. Computer vision techniques use photographs from dataset collection to rapidly build detailed 3D models. The simultaneous applications of different algorithms (MVS), the different techniques of image matching, feature extracting and mesh optimization are inside an active field of research in computer vision. Computer vision techniques - Structure from Motion (SfM)- allow to fulfill detailed 3D models from photos dataset collections. The results are promising: the obtained models are beginning to challenge the precision of laser-based reconstructions. This research investigates the limits and potentialities of 3D models obtained by using image based techniques in Architectural Heritage field, in order to verify the applicability of the method for the perspective return of the solid perspective of the artistic repertoire in my territory. My approach to this challenging problem is to verify the reliability of the 3Dmodels by Autodesk 123D Catch (web-based package). This paper aimed to demonstrate the efficiency of 123D Catch to obtain an accurate 3D model to operate the perspective return of artistic models

Face Recognition Under Varying Illumination

This study is a result of a successful joint-venture with my adviser Prof. Dr. Muhittin Gökmen. I am thankful to him for his continuous assistance on preparing this project. Special thanks to the assistants of the Computer Vision Laboratory for their steady support and help in many topics related with the project

Age Determination at Death from Osteon Counting by Means of Interactive Computer Graphics

The purpose of this study is to show the feasibility of doing osteon counting on the computer. A sample of 11 specimens were prepared by thin section techniques in order to be photographed through a Reichert transmitted-light interface contrast Zetopan research microscope. After the photographs were mosaiced into a single representative picture of the field of vision, the picture was digitized and processed for age by the computer. Digitizing the specimens is accomplished by the use of interactive computer graphics. Using a tablet with a cursor or pen, the picture is digitized and stored in a file of x and y coordinates on a magnetic disk by the computer. This file of stored data is used in other computer programs to measure dmax, centroid plots, area information on the individual features and calculate age at death for the specimen. Kerley and Ubelaker\u27s (1978) regression formulas were utilized. The major findings of the research concerned percent of circumferential lamellar bone and individual fields of vision. The regression formula for percent of circumferential lamellar bone as determined by the Kerley technique (1965) was not reliable with measured data of the computer. A new regression formula was calculated based on the measured data of the sample with eight out of eleven cases having the age range score bracketing the known age of the specimen. All three cases which were aged incorrectly were within plus or minus 10 years of the actual age. Another finding revealed that one field of vision is not superior to another. Some anthropologists had implied that the posterior field of vision, because of muscle attachment to the linea aspera, would yield faulty scores. My results show that the worst field is the medial view and not the posterior. When comparing individual field statistics to the four field total the results demonstrate that one field may be selected. The resulting age range calculated by the computer is as satisfactory as those age ranges produced from the four field total. Since no special training is required to operate the computer and cost of the equipment is economical, a large group of researchers wanting to do osteon counting could utilize my procedure

Vision Based Autonomous Robotic Control for Advanced Inspection and Repair

The advanced inspection system is an autonomous control and analysis system that improves the inspection and remediation operations for ground and surface systems. It uses optical imaging technology with intelligent computer vision algorithms to analyze physical features of the real-world environment to make decisions and learn from experience. The advanced inspection system plans to control a robotic manipulator arm, an unmanned ground vehicle and cameras remotely, automatically and autonomously. There are many computer vision, image processing and machine learning techniques available as open source for using vision as a sensory feedback in decision-making and autonomous robotic movement. My responsibilities for the advanced inspection system are to create a software architecture that integrates and provides a framework for all the different subsystem components; identify open-source algorithms and techniques; and integrate robot hardware