Daniel Doss

The Foundations of Communication in Criminal Justice Systems

Foundations of Communications Crafting Communication Psychological Aspects of Communications Basic Written Communications Visuals and Graphical Communication Reporting and Technical Communication Oral Communications and Interpersonal Behaviors Communications Technology Organizational Communication Marketing and Advertising Communications Emergency and Public Communication Employment Communication Leading the Way: Leadership Communication High or Low? The Mathematics of Communication Communication Ethics and Professional Organizations Communications and the U.S. Constitution Communication in the Justice System Can You Hear Me Now? Physical Disability and Communication Challenges Back to the Future: Communications Innovation and Emerging Concepts Appendices Index

Data fusion of multi-source satellite data sets for cost-effective disaster management studies

A common approach to multisource data fusion is to aggregate the information in a stacked vector and treat it as a unique dataset. The statistical classifiers used in these data fusion approaches are also transformed by integrating the contextual information from neighboring pixels, to improve the accuracy of a fuzzy-logic-based fusion scheme. A decision level fusion approach was developed by Gokaraju et. al, 2012, which combines statistical methods and machine learning techniques. Here, each data sample is integrated through separate classifiers such as empirical methods and support vector machines (SVMs) and then used a Probabilistic Neural Network (PNN) to fuse the decisions for a unified consensus decision. The data fusion approach consists of either pixel-level or feature-level data fusion in combination with machine learning techniques for classification. The intermediate results of the disaster management studies, such as levee land-slide and tornado debris assessment using data fusion techniques, are presented in this paper. For levee landslide studies, we used the multi-temporal datasets of air-borne synthetic aperture radar sensor (UAVSAR). For Tornado disaster studies, we used multi-source and multi-temporal datasets of both synthetic aperture radar sensor (RADARSAT-2) and multispectral sensor (RapiEye) datasets. The results of data fusion approach outperformed the non-data fusion techniques in both studies with kappa accuracies of 82.8% and 72%.

Dangers from the sea: Considerations of the 1900 Galveston hurricane:

Within the context of homeland security, all organizations must acknowledge the potential of disasters when crafting strategy and pondering contingencies because any number of threats has the potential to disrupt business operations and continuity. Although numerous incidents have affected modern society, the 1900 Galveston hurricane remains the deadliest natural disaster in American history, even surpassing the death tolls of hurricanes Katrina and Sandy. This article examines the Galveston incident from the perspective of communications and the emergency management cycle. Insight is provided regarding the efforts of modern organizations to address possible threats and maintain continuity of operations.

Homeland security education: Managerial versus nonmanagerial market perspectives of an academic program

ABSTRACT The authors discuss the findings of a market study that preceded the offering of an academic program in homeland security. The university disseminated a mail survey to gain data for analysis of variance testing of several hypotheses regarding market perceptions of the intended homeland security program offering. Stratification involved segregating responses into categories of managers versus nonmanagers. Four statistically significant findings were observed regarding perceptions of course titles, academic program characteristics, degree types, and degree titles. The outcomes of the study are described within the article, and recommendations regarding the implications of the market study are discussed.