Big Data Analytics Using Neural networks

Machine learning is a branch of artificial intelligence in which the system is made to learn from data which can be used to make predictions, real world simulations, pattern recognitions and classifications of the input data. Among the various machine learning approaches in the sub-field of data classification, neural-network methods have been found to be an useful alternatives to the statistical techniques. An artificial neural network is a mathematical model, inspired by biological neural networks, are used for modeling complex relationships between inputs and outputs or to find patterns in data. The goal of the project is to construct a system capable of analyzing and predicting the output for the evaluation dataset provided by the IBM Watson: The Great Mind Challenge organized by IBM Research and InnoCentive INSTINCT (Investigating Novel Statistical Techniques to Identify Neurophysiological Correlates of Trustworthiness) : The IARPA Trustworthiness Challenge organized by the office of The Director Of National Intelligence. The objective of this paper is to understand the machine learning using neural networks. At the end of the paper, the comparison between different learning strategies have been shown which are used to increase the accuracy of the predictions. From the trained neural network up to a satisfactory level, we will be able to classify any generalized input, process often termed as generalization capability of the learning system

M.S.L.A.P. Modular Spectral Line Analysis Program documentation

MSLAP is a software for analyzing spectra, providing the basic structure to identify spectral features, to make quantitative measurements of this features, and to store the measurements for convenient access. MSLAP can be used to measure not only the zeroth moment (equivalent width) of a profile, but also the first and second moments. Optical depths and the corresponding column densities across the profile can be measured as well for sufficiently high resolution data. The software was developed for an interactive, graphical analysis where the computer carries most of the computational and data organizational burden and the investigator is responsible only for all judgement decisions. It employs sophisticated statistical techniques for determining the best polynomial fit to the continuum and for calculating the uncertainties

Student Family Support Services Initiative: Final Evaluation Report

The Student Family Support Services Initiative (SFSI) provided intensive case management and housing assistance to families with children who were identified as residing in "doubled-up" living situations (e.g. living with relatives or friends because they had lost stable housing but were not yet in homeless shelters or cycled out of shelters) and considered at risk of becoming homeless by the Chicago Public Schools (CPS) in 2009 and 2010. The program offered case management, housing assistance, and a menu of services that families might need to stabilize in housing including therapeutic services, employment services, and asset building. The theory of change was that addressing a family's primary housing and employment needs would positively impact the educational stability and achievement of students, while at the same time benefiting the family overall. This report, prepared by the Social IMPACT Research Center, presents a final evaluation of the initiative

An architecture for secure searchable cloud storage

Includes abstract.Includes bibliographical references.Cloud Computing is a relatively new and appealing concept; however, users may not fully trust Cloud Providers with their data and can be reluctant to store their files on Cloud Storage Services. The problem is that Cloud Providers allow users to store their information on the provider's infrastructure with compliance to their terms and conditions, however all security is handled by the provider and generally the details of how this is done are not disclosed. This thesis describes a solution that allows users to securely store data all a public cloud, while also providing a mechanism to allow for searchability through their encrypted data. Users are able to submit encrypted keyword queries and, through a symmetric searchable encryption scheme, the system retrieves a list of files with such keywords contained within the cloud storage medium

Gaze, volume 11, number 9

Co-Editors: Allen Cook, John Stilwell. Staff Writers: Vincent Astor, Becky Caperton, Renee Greene. Typesetting and Layout: Allen Cook, John Stilwell, Vincent Astor, Bryan Feuerhelm. Circulation: Cecil McLeod, John Stilwell. Advertising: Vincent Astor. Special thanks to Rhodes College and the Paul Barret Jr. Library for providing initial scanning of this collection.https://digitalcommons.memphis.edu/speccoll-mss-outmemphis3/1115/thumbnail.jp

Daily Eastern News: April 09, 1987

https://thekeep.eiu.edu/den_1987_apr/1006/thumbnail.jp

Effective Knowledge Transfer: A Terminological Perspective - Dismantling The Jargon Barrier To Knowledge About Computer Security

The research is concerned with the terminological problems that computer users experience when they try to formulate their knowledge needs and attempt to access information contained in computer manuals or online help systems while building up their knowledge. This is the recognized but unresolved problem of communication between the specialist and the layman. The initial hypothesis was that computer users, through their knowledge of language, have some prior knowledge of the subdomain of computing they are trying to come to terms with, and that language can be a facilitating mechanism, or an obstacle, in the development of that knowledge. Related to this is the supposition that users have a conceptual apparatus based on both theoretical knowledge and experience of the world, and of several domains of special reference related to the environment in which they operate. The theoretical argument was developed by exploring the relationship between knowledge and language, and considering the efficacy of terms as agents of special subject knowledge representation. Having charted in a systematic way the territory of knowledge sources and types, we were able to establish that there are many aspects of knowledge which cannot be represented by terms. This submission is important, as it leads to the realization that significant elements of knowledge are being disregarded in retrieval systems because they are normally expressed by language elements which do not enjoy the status of terms. Furthermore, we introduced the notion of `linguistic ease of retrieval' as a challenge to more conventional thinking which focuses on retrieval results

Snake-Oil Security Claims the Systematic Misrepresentation of Product Security in the E-Commerce Arena

The modern commercial systems and software industry in the United States have grown up in a snake-oil salesman\u27s paradise. The largest sector of this industry by far is composed of standard commercial systems that are marketed to provide specified functionality (e.g. Internet web server, firewall, router, etc.) Such products are generally provided with a blanket disclaimer stating that the purchaser must evaluate the suitability of the product for use, and that the user assumes all liability for product behavior. In general, users cannot evaluate and cannot be expected to evaluate the security claims of a product. The ability to analyze security claims is important because a consumer may place unwarranted trust in the security abilities of a web server (or other computer device) to perform its stated purpose, thereby putting his own organization at risk, as well as third parties (consumers, business partners, etc.) All but the largest and most capable organizations lack the resources or expertise to evaluate the security claims of a product. More importantly, no reasonable and knowledgeable person would expect them to be able to do so. The normal legal presumptions of approximate equality of bargaining power and comparable sophistication in evaluating benefits and risks are grievously unjust in the context of software security. In these transactions, it is far wiser to view the general purchaser, even if that purchaser is a sizable corporation, as an ignorant consumer. Hence, often purchasers accept what appear to be either implied merchantability claims of the vendor or claims of salespersons\u27 made outside of the context of a written document. These claims frequently have little, if any, basis in fact. These standard commercial systems form the bulk of the critical infrastructure of existing Internet functionality and e-commerce systems. Often, these systems are not trustworthy, yet the use of these systems by misinformed purchasers created massive vulnerability for both purchasers and third parties (including a substantial fraction of both U.S. and international citizens). The frequent disclosure of individual credit card information from supposedly secure commercial systems illustrates an aspect of this vulnerability and raises serious questions concerning the merchantability of these systems. While it is impossible to avoid all risks, they can be reduced to a very small fraction of their current level. Vendors have willfully taken approaches and used processes that do not allow assurance of appropriate security properties, while simultaneously and recklessly misrepresenting the security properties of their products to their customers

Daily Eastern News: April 16, 1987

https://thekeep.eiu.edu/den_1987_apr/1011/thumbnail.jp