HP 3000 Computer Systems HEWLETT I Pt PACKARD a Family of Compatible Business Systems for Distributed Data Processing
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Bag-Of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database
Bag-of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database Marcin Korytkowski, Rafał Scherer, Paweł Staszewski, Piotr Woldan Institute of Computational Intelligence Cze¸stochowa University of Technology al. Armii Krajowej 36, 42-200 Cze¸stochowa, Poland Email: [email protected], [email protected] Abstract—This paper presents a novel relational database ar- data directly in the database files. The example of such an chitecture aimed to visual objects classification and retrieval. The approach can be Microsoft SQL Server where binary data is framework is based on the bag-of-features image representation stored outside the RDBMS and only the information about model combined with the Support Vector Machine classification the data location is stored in the database tables. MS SQL and is integrated in a Microsoft SQL Server database. Server utilizes a special field type called FileStream which Keywords—content-based image processing, relational integrates SQL Server database engine with NTFS file system databases, image classification by storing binary large object (BLOB) data as files in the file system. Microsoft SQL dialect (Transact-SQL) statements I. INTRODUCTION can insert, update, query, search, and back up FileStream data. Application Programming Interface provides streaming Thanks to content-based image retrieval (CBIR) access to the data. FileStream uses operating system cache for [1][2][3][4][5][6][7][8] we are able to search for similar caching file data. This helps to reduce any negative effects images and classify them [9][10][11][12][13]. Images can be that FileStream data might have on the RDBMS performance. -
Read and Write Images from a Database Using SQL Server
HOWTO: Read and write images from a database using SQL Server Atalasoft is an imaging SDK and we do not directly have any dependencies on, or specific functionality for Database access (with the single exception of our DbImageSource class). However, since the typical means of image storage in a database is a BLOB (Binary Long Object), developers can take advantage of the AtalaImage.ToByteArray and AtalaImage.FromByteArray methods to use in their own code to store and retrieve image data to and from databases respectively. Atalasoft dotImage has streaming capabilities that can be used jointly with ADO.NET to read and write images directly to a database without saving to a temporary file. The following code snippets demonstrates this in C# and VB.NET. Please note that the code examples below are provided as a courtesy/convenience only and are not meant to be production code or represent the only way to access a database. The code is provided as is as but an example of how to get the needed data in a byte array suitable for use in storing to a database and how to take binary data containing an image back into an AtalaImage to use in our SDK. Write to a Database C# rivate void SaveToSqlDatabase(AtalaImage image) { SqlConnection myConnection = null; try { // Save image to byte array. // we will be storing this image as a Jpeg using our JpegEncoder with 75 quality // you could use any of our ImageEncoder classes to store as the respective image types byte[] imagedata = image.ToByteArray(new Atalasoft.Imaging.Codec.JpegEncoder(75)); // Create the SQL statement to add the image data. -
Peoplesoft Financials/Supply Chain Management 9.2 (Through Update Image 40) Hardware and Software Requirements
PeopleSoft Financials/Supply Chain Management 9.2 (through Update Image 40) Hardware and Software Requirements July 2021 PeopleSoft Financials/Supply Chain Management 9.2 (through Update Image 40) Hardware and Software Requirements Copyright © 2021, Oracle and/or its affiliates. This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, then the following notice is applicable: U.S. GOVERNMENT END USERS: Oracle programs (including any operating system, integrated software, any programs embedded, installed or activated on delivered hardware, and modifications of such programs) and Oracle computer documentation or other Oracle data delivered to or accessed by U.S. Government end users are "commercial computer software" or "commercial computer software -
Hp-3000/4000
HP-3000/4000 Terminal User’s Guide This equipment has been tested and found to comply with the limits for a Class B digital device, pursuant to part 15 of the FCC Rules. These limits are designed to provide reasonable protection against harmful interference when the equipment is operated in a commercial environment. This equipment generates, uses, and can radiate radio frequency energy, and, if not installed and used in accordance with the Installation Manual, may cause harmful interference to radio communications. Operation of this equipment in a residential area is likely to cause harmful interference, in which case the user will be required to correct the interference at the user’s own expense. This Class A digital apparatus meets all requirements of the Canadian Interference-Causing Equipment Regulations. Cet appareil numerique de la classe A respecte toutes les exigences du Reglemente sure le materiel brouilleur du Canada. © 2014 Allegion Document Part Number: 70100-6003 – Rev. 3.3 – 07/15/14 HandPunch is a trademark of Schlage Biometrics, Inc. The trademarks used in this Manual are the property of the trademark holders. The use of these trademarks in this Manual should not be regarded as infringing upon or affecting the validity of any of these trademarks. Schlage Biometrics, Inc. reserves the right to change, without notice, product offerings or specifications. No part of this publication may be reproduced in any form without the express written permission from Schlage Biometrics, Inc. Table of Contents Introduction 3 Biometrics -
Powerhouse(R) 4GL Migration Planning Guide
COGNOS(R) APPLICATION DEVELOPMENT TOOLS POWERHOUSE(R) 4GL FOR MPE/IX MIGRATION PLANNING GUIDE Migration Planning Guide 15-02-2005 PowerHouse 8.4 Type the text for the HTML TOC entry Type the text for the HTML TOC entry Type the text for the HTML TOC entry Type the Title Bar text for online help PowerHouse(R) 4GL version 8.4 USER GUIDE (DRAFT) THE NEXT LEVEL OF PERFORMANCETM Product Information This document applies to PowerHouse(R) 4GL version 8.4 and may also apply to subsequent releases. To check for newer versions of this document, visit the Cognos support Web site (http://support.cognos.com). Copyright Copyright © 2005, Cognos Incorporated. All Rights Reserved Printed in Canada. This software/documentation contains proprietary information of Cognos Incorporated. All rights are reserved. Reverse engineering of this software is prohibited. No part of this software/documentation may be copied, photocopied, reproduced, stored in a retrieval system, transmitted in any form or by any means, or translated into another language without the prior written consent of Cognos Incorporated. Cognos, the Cognos logo, Axiant, PowerHouse, QUICK, and QUIZ are registered trademarks of Cognos Incorporated. QDESIGN, QTP, PDL, QUTIL, and QSHOW are trademarks of Cognos Incorporated. OpenVMS is a trademark or registered trademark of HP and/or its subsidiaries. UNIX is a registered trademark of The Open Group. Microsoft is a registered trademark, and Windows is a trademark of Microsoft Corporation. FLEXlm is a trademark of Macrovision Corporation. All other names mentioned herein are trademarks or registered trademarks of their respective companies. All Internet URLs included in this publication were current at time of printing. -
Bill Krause | Zero to a Million Ethernet Ports + the Epiphany
Bill Krause | Zero to a Million Ethernet Ports + The Epiphany Derick: So Brandon, I think you'll agree with me that there aren't many people like Bill Krause who can coherently, but also in an entertaining way, tell their biography, right, totally off the cuff. Brandon: Yeah, I totally agree, and it's always awesome to hear unique stories from back in the day. We got to sit down with Bill to talk about his experiences as someone who was really there on the ground floor, bringing whole new categories of technology to market, n this case, first with personal computing, and then with networking. So Bill was there when a computer was a thing that a company had, or maybe a company department head, and Bill helped make it a thing a person has as the first computer salesperson at HP. Look for all I know when I ate lunch at HP in Palo Alto, as an intern in 2008, four decades earlier, Bill was eating at that same picnic table with Bill Hewlett. Derick: "The first person to sell" in, in this category, personal computing. That is, that is kind of crazy to think about, like - how many billions of dollars is that category now. Brandon: Uh, well searching Google here... it looks like the first search hit. It says $688 billion. And it's growing. Derick: So, so just a little bit of money. Brandon: LIttle bit of money. Yeah. And then to be the CEO of a company that led Ethernet from approximately zero to the first million ports in under a decade, two years before their goal.. -
Eloquence: HP 3000 IMAGE Migration by Michael Marxmeier, Marxmeier Software AG
Eloquence: HP 3000 IMAGE Migration By Michael Marxmeier, Marxmeier Software AG Michael Marxmeier is the founder and President of Marxmeier Software AG (www.marxmeier.com), as well as a fine C programmer. He created Eloquence in 1989 as a migration solution to move HP250/HP260 applications to HP-UX. Michael sold the package to Hewlett-Packard, but has always been responsible for Eloquence development and support. The Eloquence product was transferred back to Marxmeier Software AG in 2002. This chapter is excerpted from a tutorial that Michael wrote for HPWorld 2003. Email: [email protected] Eloquence is a TurboIMAGE compatible database that runs on HP-UX, Linux and Windows.Eloquence supports all the TurboIMAGE intrinsics, almost all modes, and they behave identically. HP 3000 applications can usually be ported with no or only minor changes. Compatibility goes beyond intrinsic calls (and also includes a performance profile.) Applications are built on assumptions and take advantage of specific behavior. If those assumptions are no longer true, the application may still work, but no longer be useful. For example, an IMAGE application can reasonably expect that a DBFIND or DBGET execute fast, independently of the chain length and that DBGET performance does not differ substantially between modes. If this is no longer true, the application may need to be rewritten, even though all intrinsic calls are available. Applications may also depend on external utilities or third party tools. If your application relies on a specific tool (let’s say, Robelle’s SUPRTOOL), you want it available (Suprtool already works with Eloquence). If a tool is not available, significant changes to the application would be required. -
Turboimage/XL Database Management System Reference Manual
TurboIMAGE/XL Database Management System Reference Manual HP e3000 MPE/iX Computer Systems Edition 8 Manufacturing Part Number: 30391-90012 E0701 U.S.A. July 2001 Notice The information contained in this document is subject to change without notice. Hewlett-Packard makes no warranty of any kind with regard to this material, including, but not limited to, the implied warranties of merchantability or fitness for a particular purpose. Hewlett-Packard shall not be liable for errors contained herein or for direct, indirect, special, incidental or consequential damages in connection with the furnishing or use of this material. Hewlett-Packard assumes no responsibility for the use or reliability of its software on equipment that is not furnished by Hewlett-Packard. This document contains proprietary information which is protected by copyright. All rights reserved. Reproduction, adaptation, or translation without prior written permission is prohibited, except as allowed under the copyright laws. Restricted Rights Legend Use, duplication, or disclosure by the U.S. Government is subject to restrictions as set forth in subparagraph (c) (1) (ii) of the Rights in Technical Data and Computer Software clause at DFARS 252.227-7013. Rights for non-DOD U.S. Government Departments and Agencies are as set forth in FAR 52.227-19 (c) (1,2). Acknowledgments UNIX is a registered trademark of The Open Group. Hewlett-Packard Company 3000 Hanover Street Palo Alto, CA 94304 U.S.A. © Copyright 1985, 1987, 1989, 1990, 1992, 1994, 1997, 2000, 2001 by Hewlett-Packard Company 2 Contents 1. Introduction Data Security . 27 Rapid Data Retrieval and Formatting . 28 Program Development . -
Oracle Multimedia Image PL/SQL API Quick Start
Oracle Multimedia Image PL/SQL API Quick Start Introduction Oracle Multimedia is a feature that enables Oracle Database to store, manage, and retrieve images, audio, video, and other heterogeneous media data in an integrated fashion with other enterprise information. Oracle Multimedia extends Oracle Database reliability, availability, and data management to multimedia content in media-rich applications. This article provides simple PL/SQL examples that upload, store, manipulate, and export image data inside a database using Oracle Multimedia’s PL/SQL packages. Some common pitfalls are also highlighted. The PL/SQL package used here is available in Oracle Database release 12c Release 2 or later with Oracle Multimedia installed (the default configuration provided by Oracle Universal Installer). The functionality in this PL/SQL package is the same as the functionality available with the Oracle Multimedia relational interface and object interface. For more details refer to Oracle Multimedia Reference and Oracle Multimedia User’s Guide. The following examples will show how to store images within the database in BLOB columns so that the image data is stored in database tablespaces. Oracle Multimedia image also supports BFILEs (pointers to files that reside on the filesystem), but this article will not demonstrate the use of BFILEs. Note that BFILEs are read -only so they can only be used as the source for image processing operations (i.e. you can process from a BFILE but you can’t process into a BFILE). NOTE: Access to an administrative account is required in order to grant the necessary file system privileges. In the following examples, you should change the command connect sys as sysdba to the appropriate one for your system: connect sys as sysdba Enter password: password The following examples also connect to the database using connect ron Enter password: password which you should change to an actual user name and password on your system. -
Powerterm® Mobile Powerful Host Systems for Pocket Pcs
PowerTerm® Mobile Powerful host systems for Pocket PCs Ericom® Software’s PowerTerm Mobile for the PC users to connect to applications residing on Windows® CE operating system is the ideal IBM Mainframe, IBM AS/400, UNIX, VAX/VMS, remote access solution for Pocket PC devices. Alpha/OpenVMS, HP-3000, Tandem and other PowerTerm Mobile allows access to mission hosts. critical legacy applications residing on IBM Mainframe, IBM AS/400, UNIX,VAX/VMS, The solution features TCP/IP WinSock, serial, Alpha/OpenVMS, HP-3000 and Tandem hosts modem, dial-up networking and PPP from any location. Whether dialing via modem, communication support, in addition to Telnet or connecting via direct serial link or a local LAN, TN3270E (SNA over TCP/IP) and TN5250 (with PowerTerm Mobile allows access to all host device name systems whether on the road, at home or in support). It supports the office. Ethernet, serial ports and modems to Supporting the largest range of terminals… combine the full PowerTerm Mobile supports a full line of UNIX, functionality and HP, VMS, IBM, Tandem, Digital, Wyse, Data ease of use of the General, Televideo, HP and other terminal PowerTerm Mobile emulations, ensuring fast, reliable connections terminal emulator for sharing information throughout the enterprise with the mobility regardless of host type. and flexibility afforded by …and the widest range of Pocket PC Models Windows CE devices. PowerTerm Mobile is ideal for Big features that fit easily in your Pocket HP iPAQ and PowerTerm Mobile features include a simple and Jornada devices. intuative Soft Input Panel (SIP), especially designed Other Pocket PC- for terminal emulation use, menu bar, scalable based consumer fonts, intelligent copy & paste, and advanced and industrial printing. -
HP-UX and K4
HP 3000 Series 920 A new low-cost solution to HP PA-RISC HEWLETT PACKARD A Table of Contents Editor WbrkshtSans 17 General TkacyWesfer HB introducfs HP-PHIGS Vxsbn 2.0 HP f2mmeZs is published monthly for 1 IEP Exemtivc T- Series echedule WPC++1SorftBcnch for objw-~tiwrted Hewiett-PacWl's value-added busi- hcal RTR plxrdwts runwed fmm price I& tlesses to pmvide you with inEodon - about HPf paducts and services ta 17 Apollo help you be more successful. Objenmrb Eor SmanW-80 - rn don Muititcger Systems fa ApMo workmrions For further information on my of the 2 General Da~mmbnWSPwm.39 products and in TWoncafmem0@~farHP3000& obscl1- sewices dim& lhnWC:++ %mian 1.2 obsob$xnce HP Cham&, p1am cantract your HP HPWOO~tmna sales rep. BP XUD and HP 9QBO pi&@- 20 HP-UX c2xooiwmJAMfar-mccsilnd HP ApoMo 9000 Stries 400 intaxfuction See back cmw for subserfption ='ppo* HP-UXReaease7~fbrOrHP9000es30[1 Upm& d Wo~m~ticm. release HIJ tWtBa& dabL and400proClucts LAM comunwith Ad-WnL ~mgtheHPPenrorralVi Note: 1Yb0 all HP comprJSer products Macintosh HPmModelmMm~~ ate sol$ and styy,arred in dl comties. upgrade! IEQ-UX 7.0 prb iae- Please &ck wS$h putlocal IIP sales syilwm PtrsoM lGopnputers oflce* Inmucisg Phe mw3000 I' Rew 24 General H&ett-J%zcm daas mt warrant the Ncw SbmXurd Sdutions RWap far HP~~e8OU)and~L3( 1 M-~B PIUS ~e be remav~dfram price 1u:cumcy 4t.k i@@n p&d Inaadue* Rasase B(M listNd1 in PIP Chmxls ad shall not be Gable HPALWEMOL HP Pamble Plus iwmaries dismtsnm for use made elf ths i$om'on NS ptrfbtmsaGe impmvemdts with 25 Desktop eontaiwd breinIOZ&~'~OR psovidsd MPE XL Rcl~aae2.1 New~HP~386/25;dwktDp~ tn HP CWs$ subw to chge Intmdueing HP CM~C&~X HFSup~~u~aaoasHP~ withut mke. -
A 10 Million Image Database for Scene Recognition
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2017.2723009, IEEE Transactions on Pattern Analysis and Machine Intelligence 1 Places: A 10 million Image Database for Scene Recognition Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba Abstract—The rise of multi-million-item dataset initiatives has enabled data-hungry machine learning algorithms to reach near- human semantic classification performance at tasks such as visual object and scene recognition. Here we describe the Places Database, a repository of 10 million scene photographs, labeled with scene semantic categories, comprising a large and diverse list of the types of environments encountered in the world. Using the state-of-the-art Convolutional Neural Networks (CNNs), we provide scene classification CNNs (Places-CNNs) as baselines, that significantly outperform the previous approaches. Visualization of the CNNs trained on Places shows that object detectors emerge as an intermediate representation of scene classification. With its high-coverage and high-diversity of exemplars, the Places Database along with the Places-CNNs offer a novel resource to guide future progress on scene recognition problems. Index Terms—Scene classification, visual recognition, deep learning, deep feature, image dataset. F 1 INTRODUCTION Whereas most datasets have focused on object categories If a current state-of-the-art visual recognition system would (providing labels, bounding boxes or segmentations), here send you a text to describe what it sees, the text might read we describe the Places database, a quasi-exhaustive repos- something like: “There is a sofa facing a TV set.