State University of New York System

About: State University of New York System is a education organization based out in Albany, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 54077 authors who have published 78070 publications receiving 2985160 citations.

Decision combination in multiple classifier systems

Abstract: A multiple classifier system is a powerful solution to difficult pattern recognition problems involving large class sets and noisy input because it allows simultaneous use of arbitrary feature descriptors and classification procedures. Decisions by the classifiers can be represented as rankings of classifiers and different instances of a problem. The rankings can be combined by methods that either reduce or rerank a given set of classes. An intersection method and union method are proposed for class set reduction. Three methods based on the highest rank, the Borda count, and logistic regression are proposed for class set reranking. These methods have been tested in applications of degraded machine-printed characters and works from large lexicons, resulting in substantial improvement in overall correctness. >

A revolution morphometrics.

Abstract: We are now in the midst of a revolution in morphometric methodology. The new approaches are more effective in capturing information about the shape of an organism and result in more powerful statistical procedures for testing for differences in s shape. They are also more effective in enabling a researcher to visualize differences in shape and in suggesting simple traditional measurements that could be used in future studies. In this review we emphasize applications to exploratory studies in taxonomy and evolution.

Organizational Life Cycles and Shifting Criteria of Effectiveness: Some Preliminary Evidence

Abstract: This paper discusses the relationships between stage of development in organizational life cycles and organizational effectiveness. We begin the paper by reviewing nine models of organizational life cycles that have been proposed in the literature. Each of these models identifies certain characteristics that typify organizations in different stages of development. A summary model of life cycle stages is derived that integrates each of these nine models. Next, a framework of organizational effectiveness developed by Quinn and Rohrbaugh is introduced. This framework organizes criteria of effectiveness into four models-rational goal, open systems, human relations, and internal processes models. We hypothesize that certain of the models are important in evaluating the effectiveness of organizations in particular life cycle stages but not in others. The analysis of a state agency's development over five years provides some evidence to support these hypothesized relationships between life cycle stages and criteria of effectiveness. We conclude that major criteria of effectiveness change in predictable ways as organizations develop through their life cycles. Some shifts in state of development are resisted by the organization much more than are others, and intervention into organizations may be needed to help make the transitions less painful and costly. We also discuss why the predictions of contingency theory often are not substantiated by research because the responses of organizations to the external environment vary in different life cycle stages.

Myth of Mental Illness

Abstract: In 1960, I coined the phrase “MYTH OF MENTAL ILLNESS” to identify the intrinsically metaphoric nature of the idea of mental illness, to alert the public to the dangers of viewing distressed and distressing behaviors as diseases, and to undermine the moral legitimacy of psychiatric excuses and coercions. The claim that mental illnesses do not exist was not intended to imply that distressing personal experiences and deviant behaviors do not exist. Anxiety and depression, conflict and crime exist, and indeed are intrinsic to the human condition. But they are not diseases. We classify them as diseases in order to medicalize (mis)behaviors to our profit or at our peril.

Architecture and algorithms for an IEEE 802.11-based multi-channel wireless mesh network

Abstract: Even though multiple non-overlapped channels exist in the 2.4 GHz and 5 GHz spectrum, most IEEE 802.11-based multi-hop ad hoc networks today use only a single channel. As a result, these networks rarely can fully exploit the aggregate bandwidth available in the radio spectrum provisioned by the standards. This prevents them from being used as an ISP's wireless last-mile access network or as a wireless enterprise backbone network. In this paper, we propose a multi-channel wireless mesh network (WMN) architecture (called Hyacinth) that equips each mesh network node with multiple 802.11 network interface cards (NICs). The central design issues of this multi-channel WMN architecture are channel assignment and routing. We show that intelligent channel assignment is critical to Hyacinth's performance, present distributed algorithms that utilize only local traffic load information to dynamically assign channels and to route packets, and compare their performance against a centralized algorithm that performs the same functions. Through an extensive simulation study, we show that even with just 2 NICs on each node, it is possible to improve the network throughput by a factor of 6 to 7 when compared with the conventional single-channel ad hoc network architecture. We also describe and evaluate a 9-node Hyacinth prototype that Is built using commodity PCs each equipped with two 802.11a NICs.