Author: United States. Department of the ArmyPublisher:
ISBN:
Category : Data processing service centers
Languages : en
Pages : 336
Book Description
Army Information and Data Systems
Author: United States. Department of the ArmyPublisher:
ISBN:
Category : Data processing service centers
Languages : en
Pages : 336
Book Description
Force Multiplying Technologies for Logistics Support to Military Operations
Author: National Research CouncilPublisher: National Academies Press
ISBN: 0309307368
Category : Technology & Engineering
Languages : en
Pages : 293
Book Description
The mission of the United States Army is to fight and win our nation's wars by providing prompt, sustained land dominance across the full range of military operations and spectrum of conflict in support of combatant commanders. Accomplishing this mission rests on the ability of the Army to equip and move its forces to the battle and sustain them while they are engaged. Logistics provides the backbone for Army combat operations. Without fuel, ammunition, rations, and other supplies, the Army would grind to a halt. The U.S. military must be prepared to fight anywhere on the globe and, in an era of coalition warfare, to logistically support its allies. While aircraft can move large amounts of supplies, the vast majority must be carried on ocean going vessels and unloaded at ports that may be at a great distance from the battlefield. As the wars in Afghanistan and Iraq have shown, the costs of convoying vast quantities of supplies is tallied not only in economic terms but also in terms of lives lost in the movement of the materiel. As the ability of potential enemies to interdict movement to the battlefield and interdict movements in the battlespace increases, the challenge of logistics grows even larger. No matter how the nature of battle develops, logistics will remain a key factor. Force Multiplying Technologies for Logistics Support to Military Operations explores Army logistics in a global, complex environment that includes the increasing use of antiaccess and area-denial tactics and technologies by potential adversaries. This report describes new technologies and systems that would reduce the demand for logistics and meet the demand at the point of need, make maintenance more efficient, improve inter- and intratheater mobility, and improve near-real-time, in-transit visibility. Force Multiplying Technologies also explores options for the Army to operate with the other services and improve its support of Special Operations Forces. This report provides a logistics-centric research and development investment strategy and illustrative examples of how improved logistics could look in the future.
Management Information Systems: Army Catalog of Automated Data Systems
Author: United States. Department of the ArmyPublisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 114
Book Description
Army Research and Development
Author: Government Electronic Data Processing Systems
Author: United States. Congress. House. Committee on Post Office and Civil Service. Subcommittee on Census and StatisticsPublisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 538
Book Description
Government Electronic Data Processing Systems, Hearings Before the Subcommittee on Census and Statistics....89-2, June 14, 15, 28, 29, 1966
Author: United States. Congress. House. Post Office and Civil ServicePublisher:
ISBN:
Category :
Languages : en
Pages : 536
Book Description
Index of Technical Publications
Author: United States. Department of the ArmyPublisher:
ISBN:
Category : Military art and science
Languages : en
Pages : 656
Book Description
Army Health Promotion Risk Reduction Suicide Prevention Report 2010
Author: Peter W. ChiarelliPublisher: DIANE Publishing
ISBN: 1437937152
Category : Health & Fitness
Languages : en
Pages : 350
Book Description
This candid report is the result of a focused 15-month effort to better understand the increasing rate of suicides in U.S. Army. Key findings include: gaps in the current policies, processes and programs necessary to mitigate high risk behaviors; an erosion of adherence to existing Army policies and standards; an increase in indicators of high risk behavior including illicit drug use, other crimes and suicide attempts; lapses in surveillance and detection of high risk behavior; an increased use of prescription anti-depressants, amphetamines and narcotics; degraded accountability of disciplinary, admin. and reporting processes; and the continued high rate of suicides, high risk related deaths and other adverse outcomes. Charts and tables.
Big Data Preprocessing
Author: Julián LuengoPublisher: Springer Nature
ISBN: 3030391051
Category : Computers
Languages : en
Pages : 193
Book Description
This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also focuses on the most relevant proposed solutions. This book illustrates actual implementations of algorithms that helps the reader deal with these problems. This book stresses the gap that exists between big, raw data and the requirements of quality data that businesses are demanding. This is called Smart Data, and to achieve Smart Data the preprocessing is a key step, where the imperfections, integration tasks and other processes are carried out to eliminate superfluous information. The authors present the concept of Smart Data through data preprocessing in Big Data scenarios and connect it with the emerging paradigms of IoT and edge computing, where the end points generate Smart Data without completely relying on the cloud. Finally, this book provides some novel areas of study that are gathering a deeper attention on the Big Data preprocessing. Specifically, it considers the relation with Deep Learning (as of a technique that also relies in large volumes of data), the difficulty of finding the appropriate selection and concatenation of preprocessing techniques applied and some other open problems. Practitioners and data scientists who work in this field, and want to introduce themselves to preprocessing in large data volume scenarios will want to purchase this book. Researchers that work in this field, who want to know which algorithms are currently implemented to help their investigations, may also be interested in this book.
Author: