Map of the city of Brooklyn.

General-content double-line street map of Brooklyn city (Kings County, N.Y.) showing municipal ward numbers and horsecar lines.

Map of the village of Jamaica, Queens County, N.Y. : showing every lot and building.

Cadastral map showing lot lines, property-owners' names, and planned streets.

Detecting Danger: Applying a Novel Immunological Concept to Intrusion Detection Systems'

INTRODUCTION In recent years computer systems have become increasingly complex and consequently the challenge of protecting these systems has become increasingly difficult. Various techniques have been implemented to counteract the misuse of computer systems in the form of firewalls, antivirus software and intrusion detection systems. The complexity of networks and dynamic nature of computer systems leaves current methods with significant room for improvement. Computer scientists have recently drawn inspiration from mechanisms found in biological systems and, in the context of computer security, have focused on the human immune system (HIS). The human immune system provides an example of a robust, distributed system that provides a high level of protection from constant attacks. By examining the precise mechanisms of the human immune system, it is hoped the paradigm will improve the performance of real intrusion detection systems. This paper presents an introduction to recent developments in the field of immunology. It discusses the incorporation of a novel immunological paradigm, Danger Theory, and how this concept is inspiring artificial immune systems (AIS). Applications within the context of computer security are outlined drawing direct reference to the underlying principles of Danger Theory and finally, the current state of intrusion detection systems is discussed and improvements suggested.

[Topographic map of portion of Aberdeen Proving Ground, Maryland, and topographical and architectural examples and exercises] /

Relief shown by contours.

Map of Tiber Creek, from its mouth to the extent of tide water : [Washington D.C.].

Covers area now occupied by the Mall.

[Map of the White House grounds, Washington D.C.].

Covers the area bounded by 17th, H, 15th streets N.W., and the Washington Canal.

[Map of part of S.E. Washington D.C. now occupied by the Navy Yard and adjacent squares].

Covers area bounded by Anacostia River waterfront, 10th, L, and 5th streets S.E.

Plan of a tract of land (marked in the General Plan no. 7), containing in the whole 5000 acres, & divided into 20 plantations of 250 acres each, situate on a left hand branch of Elk River, & on the head waters of Salt Lick Creek, in Harrison County, State of Virginia /

Covers part of Harrison County (W.Va.)

Comparative study of human age estimation based on hand-crafted and deep face features

In the past few years, human facial age estimation has drawn a lot of attention in the computer vision and pattern recognition communities because of its important applications in age-based image retrieval, security control and surveillance, biomet- rics, human-computer interaction (HCI) and social robotics. In connection with these investigations, estimating the age of a person from the numerical analysis of his/her face image is a relatively new topic. Also, in problems such as Image Classification the Deep Neural Networks have given the best results in some areas including age estimation. In this work we use three hand-crafted features as well as five deep features that can be obtained from pre-trained deep convolutional neural networks. We do a comparative study of the obtained age estimation results with these features.

Extending the Simple Knowledge Organization System for Concept Management in Vocabulary Development Applications

In this article, we describe the development of an exten- sion to the Simple Knowledge Organization System (SKOS) to accommodate the needs of vocabulary devel- opment applications (VDA) managing metadata schemes and requiring close tracking of change to both those schemes and their member concepts. We take a neo- pragmatic epistemic stance in asserting the need for an entity in SKOS modeling to mediate between the abstract concept and the concrete scheme. While the SKOS model sufficiently describes entities for modeling the current state of a scheme in support of indexing and search on the Semantic Web, it lacks the expressive power to serve the needs of VDA needing to maintain scheme historical continuity. We demonstrate prelimi- narily that conceptualizations drawn from empirical work in modeling entities in the bibliographic universe, such as works, texts, and exemplars, can provide the basis for SKOS extension in ways that support more rig- orous demands of capturing concept evolution in VDA.