Digital Color Imaging

This paper surveys current technology and research in the area of digital color imaging. In order to establish the background and lay down terminology, fundamental concepts of color perception and measurement are first presented us-ing vector-space notation and terminology. Present-day color recording and reproduction systems are reviewed along with the common mathematical models used for representing these devices. Algorithms for processing color images for display and communication are surveyed, and a forecast of research trends is attempted. An extensive bibliography is provided

Counterfeit Detection with Multispectral Imaging

Multispectral imaging is becoming more practical for a variety of applications due to its ability to provide hyper specific information through a non-destructive analysis. Multispectral imaging cameras can detect light reflectance from different spectral bands of visible and nonvisible wavelengths. Based on the different amount of band reflectance, information can be deduced on the subject. Counterfeit detection applications of multispectral imaging will be decomposed and analyzed in this thesis. Relations between light reflectance and objects’ features will be addressed. The process of the analysis will be broken down to show how this information can be used to provide more insight on the object. This technology provides desired and viable information that can greatly improve multiple fields. For this paper, the multispectral imaging research process of element solution concentrations and counterfeit detection applications of multispectral imaging will be discussed. BaySpec’s OCI-M Ultra Compact Multispectral Imager is used for data collection. This camera is capable of capturing light reflectance from wavelengths of 400 – 1000 nm. Further research opportunities of developing self-automated unmanned aerial vehicles for precision agriculture and extending counterfeit detection applications will also be explored

Implementation of ILLIAC 4 algorithms for multispectral image interpretation

Research has focused on the design and partial implementation of a comprehensive ILLIAC software system for computer-assisted interpretation of multispectral earth resources data such as that now collected by the Earth Resources Technology Satellite. Research suggests generally that the ILLIAC 4 should be as much as two orders of magnitude more cost effective than serial processing computers for digital interpretation of ERTS imagery via multivariate statistical classification techniques. The potential of the ARPA Network as a mechanism for interfacing geographically-dispersed users to an ILLIAC 4 image processing facility is discussed

Going Green with IT: A Study of Energy Consumption by Home and School Information Technology Systems in the College of Information at the University of North Texas

This paper addresses the strategies introduced by the College of Information at the University of North Texas to monitor and begin implementing approaches to enable the college to move toward the university???s strategic goal of becoming a climate-neutral, ???Green University??? [3]. Data based on monitoring selected office and home inventories of information technology equipment were used to generate estimated production-level use and standby (vampire) consumption of electrical energy. Sample-based estimations and projections regarding 2008 to 2009 progress indicate that that the College of Information at the University of North Texas has made extensive progress over one year in reducing the energy consumed by its information technology systems. New computer and printer systems have greater processing power and capabilities but consume no more power than the ones they replace, when in full operation. The computer systems consume one-half to one-third (and in some cases oneseventh) the power of the previous systems when in 'sleep???, 'hibernate' or 'shut down' states that qualify for the standard definition of consuming stand by power. The authors estimate that these actions have brought the college at least halfway toward its five-year goal of becoming climate neutral, during the first year of the initiative

Satellite remote sensing facility for oceanograhic applications

The project organization, design process, and construction of a Remote Sensing Facility at Scripps Institution of Oceanography at LaJolla, California are described. The facility is capable of receiving, processing, and displaying oceanographic data received from satellites. Data are primarily imaging data representing the multispectral ocean emissions and reflectances, and are accumulated during 8 to 10 minute satellite passes over the California coast. The most important feature of the facility is the reception and processing of satellite data in real time, allowing investigators to direct ships to areas of interest for on-site verifications and experiments

Exploring the Abilities of 3D Printing and its Viability for Consumption in the Fashion Industry

Abstract With the ever-evolving state of today’s technology, designers and retailers in the apparel industry are seeking out new technological methods that have the capacity to revolutionize and individualize their brand, as well as meet consumer needs and preferences. An emerging technology is 3D printing, which utilizes computer-aided technology and a variety of filaments to construct an object. Though 3D printing technology offers the ability for rapid prototyping, a condensed supply chain, and a sustainable additive manufacturing process, there is question as to whether or not consumers are ready for 3D printed clothing to enter their wardrobes. In this creative study, the authors designed a 3D printed garment in order to test whether 3D printers could be used to make wearable clothing of similar characteristics to clothing typically made of fabric. A survey was then conducted on the University of Arkansas campus to measure consumer response to the project garment. Three primary factors were measured: prior exposure and interest in 3D printing, general fashion interest, and aesthetic appeal of the project 3D printed garment. Overall perceptions of the project garment as well as further use of 3D printing for the apparel industry were positive. The ability of this study to create a fully 3D printed garment as well as understand consumer response to 3D printed clothing provides insight into this emerging technology. The results warrant further research into its capabilities for fashion and that the fashion industry could move towards adopting this technology on a wider scale in coming years. The results indicate that a major transformation in ready-to-wear style is feasible and beneficial to the apparel industry because of 3D printing. Keywords: 3D printing, fashion, consumer preference, sustainability, apparel, technolog

Identification of phenological stages and vegetative types for land use classification

There are no author-identified significant results in this report