A School District Utilizes College Management

Throughout the past decade, a vast number of important changes have occurred in research, concepts, and practices throughout the entire field of education. More recently, the emphasis has been placed on implications for the administration of the educational program. The responsibility for the operation of the school system if the task of the superintendent. His success or failure could conceptually be in his inventiveness and genius in organization, and in his ability to work with people

Implementation of non-linear templates using a decomposition technique by a 0.5 /spl mu/m CMOS CNN universal chip

This paper demonstrates the processing capabilities of a recently designed analog programmable array processor. This new prototype, called CNNUC3, follows the cellular neural network universal machine computing paradigm. Due to its very advanced features and algorithmic capabilities, this chip has been demonstrated to be able to perform not only linear templates executions, but also to be very adequate for the implementation of non-linear templates by using a decomposition method. This paper focus on the application examples of the execution of non-linear templates with the CNNUC3 prototype. A brief description of the theoretical background is also presented in the paper

Realization of non-linear templates using the CNNUC3 prototype

Demonstrates the processing capabilities of an analog programmable array processor chipMINUS/CNNUC3-which follows the cellular neural network Universal Machine computing paradigm. Due to its very advanced features and algorithmic capabilities, this chip has been demonstrated to be able to perform not only linear templates executions, but also to be very adequate for the implementation of non-linear templates by using a decomposition method. The paper focuses on the application examples of the execution of non-linear templates with the CNNUC3 prototype. A brief description of the theoretical background is also presented in the paper.Office of Naval Research (USA) 68171-98-2-9004European Commission IST-1999-19007, TIC 99082

Digital implementation of the cellular sensor-computers

Two different kinds of cellular sensor-processor architectures are used nowadays in various applications. The first is the traditional sensor-processor architecture, where the sensor and the processor arrays are mapped into each other. The second is the foveal architecture, in which a small active fovea is navigating in a large sensor array. This second architecture is introduced and compared here. Both of these architectures can be implemented with analog and digital processor arrays. The efficiency of the different implementation types, depending on the used CMOS technology, is analyzed. It turned out, that the finer the technology is, the better to use digital implementation rather than analog

Experimental demonstration of real-time image-processing using a VLSI analog programmable array processor

This paper describes a full-custom mixed-signal chip which embeds distributed optical signal acquisition, digitallyprogrammable analog parallel processing, and distributed image memory —cache— on a common silicon substrate. This chip, designed in a O.5ptm CMOS standard technology contains around 1, 000, 000 transistors, 80% of which operate in analog mode; it is hence one the most complex mixed-signal chip reported to now. Chip functional features are in accordance to the CNN Universal Machine paradigm: cellular, spatial-invariant array architecture; programmable local interactions among cells; randomly-selectable memory of instructions (elementary instructions are defined by specific values of the cell local interactions); random storage/retrieval of intermediate images; capability to complete algorithmic image processing tasks controlled by the user-selected stored instructions and interacting with the cache memory, etc. Thus, as illustrated in this paper, the chip is capable to complete complex spatio-temporal image processing tasks within short computation time ( 200ns for linear convolutions) and using a low power budget (<1.2W for the complete chip). The internal circuitry of the chip has been designed to operate in robust manner with >7-bit equivalent accuracy in the internal analog operations, which has been confirmed by experimental measurements. Hence, to all practical purposes, processing tasks completed by the chip have the same accuracy than those completed by digital processors preceded by 7-bit digital-to-analog converters for image digitalization. Such 7-bit accuracy is enough for most image processing applications. The paper briefly describes the chip architecture and focus mostly on presenting experimental evidences of the chip functionality. Multiscale low-pass and high-pass filtering ofgray-scale images, analog edges extraction, image segmentation, thresholded gradient detection, mathematical morphology operations, shortest path detection in a labyrinth, skeletonizing, image reconstruction, several non-linear type image processing taks like absolute value calculation or gray-scale gradient detection and real-time motion detection in QCIF video sequences are some of the very interesting applications that have been demonstrated as available when using the prototype.Office of Naval Research (USA) N68171-98-C-9004European Commission DICTAM IST-1999-19007, TIC 99082

A DESCRIPTIVE STUDY OF STUDENT INVOLVEMENT IN CURRICULUM DESIGN IN SELECTED HIGH SCHOOLS.

Abstract not availabl