Home
Search results “Oracle data labeling”
NORSEL Labeling Software - Data Connection with Oracle Data Base
 
06:03
For more detailed information, please have a look at the software manual. http://www.norsel.com
Views: 156 Norsel AG
CREATE DATA LABEL PART I
 
21:19
data label security, oracle 11g, level, compartment, group, OLS, enterprise manager, Dr.girija, Dr.girija narasimhan
Views: 1157 Dr. Girija Narasimhan
Accessible Components: Labeling -- Polycasts #51
 
07:50
Today we're wrapping up our series on accessibility by talking about labeling. While it's important to make sure our elements have great keyboard support and semantics, we also need to make sure we can tell the user what our control is being used for. For example, if you were using a screen reader and you landed on a control that just said ""button"", you wouldn't really know what to do with it. Imagine instead that the button said ""Main Menu, button"", that would be much nicer! The way we achieve that affect is by providing our element with an appropriate label. In the world of ARIA there are three ways to label an element. - aria-label: This generates a text alternative for an element and it will be read instead of reading the element's contents - aria-labelledby: This let's us point at another element to say ""that element is my label""! - name by content: For small elements it's possible to just generate the label by its content In this episode of Polycasts I'll demonstrate all three approaches so you can better understand when to use each in your specific app or element. W3C ARIA Authoring Practices 1.1 https://goo.gl/8qs7VF Polymer Slack: http://goo.gl/WHjzMH Subscribe to the Chrome Developers channel at http://goo.gl/LLLNvf
Oracle SQL Tutorial 18 - How to Create Foreign Keys
 
07:09
In this video we are going to be creating foreign keys. I highly recommend watching the previous video before you watch this one. Essentially, we are creating a very simple database for a system where we can create projects and add people to those projects. We started with the users table: --Delete the table if needed: --DROP TABLE users; CREATE TABLE users( user_id NUMBER, username VARCHAR2(50 CHAR) UNIQUE, CONSTRAINT users_pk PRIMARY KEY (user_id) ); Now we are going to create a table for projects with a column that is a foreign key to the username. We're going to want to make this match data types: CREATE TABLE projects( project_id NUMBER, project_name VARCHAR2(50 CHAR) UNIQUE, creator VARCHAR2(50 CHAR) ) Next, we need to add the column attributes we decided on last video: CREATE TABLE projects( project_id NUMBER, project_name VARCHAR2(50 CHAR) UNIQUE, creator VARCHAR2(50 CHAR) NOT NULL ) NOT NULL because we want every project to have a creator, but we are not labeling UNIQUE because that means we could only have a specific username once in the table. We want to allow a user to create multiple projects. We also need to add a primary key: CREATE TABLE projects( project_id NUMBER, project_name VARCHAR2(50 CHAR) UNIQUE, creator VARCHAR2(50 CHAR) NOT NULL, CONSTRAINT projects_pk PRIMARY KEY (username) ) Now, the question that remains is, how can I tell Oracle that I want the username to reference the username column of the other table? We have to make a foreign key constraint. As you've learned from the previous videos, there are about three ways to create constraints. You can do it inline at the column level, unnamed. You can do it at the column level, named, and you can do it at the Table level, named. Usually the table-level is preferred, but I will quickly remind you how to do all three again. CREATE TABLE projects( project_id NUMBER, project_name VARCHAR2(50 CHAR) UNIQUE, creator VARCHAR2(50 CHAR) NOT NULL REFERENCES users (username), CONSTRAINT projects_pk PRIMARY KEY (project_id) ) This works, but if we want to name it, we should do this: CREATE TABLE projects( project_id NUMBER, project_name VARCHAR2(50 CHAR) UNIQUE, creator VARCHAR2(50 CHAR) NOT NULL CONSTRAINT projects_users_fk REFERENCES users (username), CONSTRAINT projects_pk PRIMARY KEY (project_id) ) This works, but the preferred method is to do it at the table level: CREATE TABLE projects( project_id NUMBER, project_name VARCHAR2(50 CHAR) UNIQUE, creator VARCHAR2(50 CHAR) NOT NULL, CONSTRAINT projects_pk PRIMARY KEY (project_id), CONSTRAINT projects_users_fk FOREIGN KEY (creator) REFERENCES users (username) ) Great! So you've learned how to create a foreign key, now we can see it inside of Oracle SQL Developer. One important thing when it comes to foreign keys is what happens when have data in your database and you try to delete the parent row that a row in the child table references? In the next video we are going to configure that using ON DELETE. See you all then and if you enjoy this series, please do me a huge favor by liking the video and subscribing to my YouTube channel. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ HELP ME! http://www.patreon.com/calebcurry Subscribe to my newsletter: http://bit.ly/JoinCCNewsletter Donate!: http://bit.ly/DonateCTVM2. ~~~~~~~~~~~~~~~Additional Links~~~~~~~~~~~~~~~ More content: http://CalebCurry.com Facebook: http://www.facebook.com/CalebTheVideoMaker Google+: https://plus.google.com/+CalebTheVideoMaker2 Twitter: http://twitter.com/calebCurry Amazing Web Hosting - http://bit.ly/ccbluehost (The best web hosting for a cheap price!)
Views: 21498 Caleb Curry
NORSEL Labeling Software - Data Connection with Text Files
 
04:21
For more detailed information, please have a look at the software manual. http://www.norsel.com
Views: 163 Norsel AG
Compact Manual Box Labeling with Scale Data System
 
04:07
http://www.vbssys.com | Vande Berg Scales' Manual Box Labeling System with our Scale Data System (SDS) provides a very robust, easy to clean unit with our firmware and indication built right in! We took our SDS unit and combined it with our stainless steel NEMA 4X enclosure. We offer an industrial touchscreen, fan-less industrial controller, medical grade power supplies, built-in scale and printer, all combined into one compact, industrial and powerful station. Some of our options include wireless ethernet, spray guard, or casters. We make our stands portable, if desired, and communicate with a printer to offer a complete manual box labeling solution. http://vbssys.com/manual-box-labeling/ Not quite what you're looking for? Be sure to check out our webpage or give us a call to see how we can assist your process today! Contact us today at 712.722.1181, by email: [email protected], or visit http://www.vbssys.com or Facebook: https://www.facebook.com/vandebergscales Twitter: https://twitter.com/VandeBergScales Google+ : https://plus.google.com/u/0/100207719748852971001/posts LinkedIn: http://www.linkedin.com/company/vande-berg-scales/
Views: 247 Vande Berg Scales
How to Prepare Data for Machine Learning and A.I.
 
03:19
In this video, Alina discusses how to Prepare data for Machine Learning and AI. Artificial Intelligence is only as powerful as the quality of the data collection, so it's important to prepare data for Machine learning correctly to ensure no data bias in the prediction models. We received a lot of questions about how much data someone needs to run a prediction model for a business, and how to avoid common mistakes in data collection for AI. The answer is you don't need big-data to run AI models and Machine learning models, it can be done with ‘medium-data’! It's also important to be careful with the quality of data collected for Machine learning and AI. Marketers must be careful, all the data that we collect for machine learning models can be subject to bias. This bias can fall into many categories, two common ones are selection bias and exclusion bias. And both types can affect the usability and relevance of your AI models and findings. Selection bias is when the group of users used for data collection is not like your target audience. Exclusion bias is when you've already collected your data, but you hold back bits of your information from your analysis. Artificial Intelligence reveals unexpected insights and good data collection is driven by knowing we're all subject to bias. So instead of only feeding a subset of your data to a machine learning model, dump it all in. Even the stuff you think is irrelevant. If it's irrelevant, the algorithm will ignore it. Just remember: - You don't need big data when you prepare data for machines learning & A.I. , you only need medium data. - Make sure that you try to avoid bias as much as possible when you collect data for A.I. This video covers: Artificial intelligence in business Data collection for A.I. Machine Learning Data Bias Big Data AI tools Selection bias Exclusion bias Prediction model bias Machine learning Artificial intelligence Algorithmic bias Preparing data for machine learning Machine learning models Preparing AI datasets ------------------------------------------------------- Amsterdam bound? Want to make AI your secret weapon? Join our A.I. for Marketing and growth Course! A 2-day course in Amsterdam. No previous skills or coding required! https://hubs.ly/H0dkN4W0 OR Check out our 2-day intensive, no-bullshit, skills and knowledge Growth Hacking Crash Course: https://hubs.ly/H0dkN4W0 OR our 6-Week Growth Hacking Evening Course: https://hubs.ly/H0dkN4W0 OR Our In-House Training Programs: https://hubs.ly/H0dkN4W0 OR The world’s only Growth & A.I. Traineeship https://hubs.ly/H0dkN4W0 Make sure to check out our website to learn more about us and for more goodies: https://hubs.ly/H0dkN4W0 London Bound? Join our 2-day intensive, no-bullshit, skills and knowledge Growth Marketing Course: https://hubs.ly/H0dkN4W0 ALSO! Connect with Growth Tribe on social media and stay tuned for nuggets of wisdom, updates and more: Facebook: https://www.facebook.com/GrowthTribeIO/ LinkedIn: https://www.linkedin.com/company/grow... Twitter: https://twitter.com/GrowthTribe/ Instagram: https://www.instagram.com/growthtribe/ Snapchat: growthtribe Video URL: https://youtu.be/TK-2189UcKk
Views: 10391 Growth Tribe
Linking a Database to a Label in Zebra Design Pro Label Software
 
27:29
Quick overview on how to link an Excel Database to a label designed using Zebra's Design Pro Label formatting software.
Views: 35558 GMITLABEL2013
Getting Started with #ArcGISPro 2.x - 04 - Definition queries, scaling and labeling
 
15:41
Full ArcGIS Pro 2.x Playlist https://goo.gl/2j4NoZ We learn the benefits of having multiple layers, set definition queries and play with scaling and labeling. Boost your GIS knowledge by grabbing my books Learning ArcGIS Geodatabase https://goo.gl/csQdCX Administering ArcGIS for Server https://goo.gl/zvYCRg ArcGIS By Example  https://goo.gl/yJKSqB Building Web Applications with ArcGIS https://goo.gl/brgKUJ Support IGeometry on paypal: https://goo.gl/wZ8hSh Full ArcGIS Javascript API Series Playlist http://bit.ly/2zf7G80 Full Multi-User Geodatabase Playlist https://goo.gl/nSgYnM Full ArcGIS Pro 2.x Playlist https://goo.gl/2j4NoZ Full ArcGIS By Example (C#) [Phonatech] Playlist https://goo.gl/FwdrHa Stay Awesome! Hussein Nasser
Views: 212 IGeometry
Editing input output fields label
 
09:12
Apex pageblock section , apex pageblock button and editing input field , output field, input text labels.
Views: 1907 RAKESH SONI
Mining the FDA Adverse Event Reporting System with Oracle Empirica Signal
 
57:11
Learn how to identify safety and pharmacovigilance signals by data mining FAERS with Oracle's Empirica Signal. -- Ever since the European Union (EU) introduced new legislation that requires life sciences companies to proactively detect, prioritize, and evaluate safety signals, there has been an increased interest, not only from sponsors and CROs in the EU, but globally, in pharmacovigilance systems that can assist with the signal management process. Please join Perficient's Chris Wocosky, an expert in signal detection and management, for this video in which she discussed how your organization can use Empirica Signal, Oracle's state-of-the-art signal detection system to data mine the existing FDA Adverse Event Reporting System (FAERS) to determine safety signals. This video will help you to better understand how this solution can be used in daily pharmacovigilance activities. To view this webinar in its entirety, please visit: https://cc.readytalk.com/r/7ekwxbm7q33t&eom Stay on top of Life Sciences technologies by following us here: Twitter: http://www.twitter.com/Perficient_LS Facebook: http://www.facebook.com/Perficient LinkedIn: http://www.linkedin.com/company/165444 Google+: https://plus.google.com/+Perficient SlideShare: http://www.slideshare.net/PerficientInc
Views: 4665 Perficient, Inc.
Creating Logical models using SQL Developer Data Modeler
 
26:44
In this video, I will show you how to create Logical, Relational and Physical Model using Oracle SQL Developer Data Modeler with ER diagram as input. I will also show you how to create sub/super-types .
Views: 47772 BHARAT KHANNA
Oracle E-Business Suite EBS - Custom Barcode Label solution w/ Brother QL-720NW WiFi Label Printer
 
10:30
In this demo, we will integrate QL-720NW w/ Oracle E-Business Suite in 4 steps.... 1# Design a P-Touch Template - 00:47 2# Transfer Template to Printer - 03:38 3# Review PL/SQL API - 06:19 4# Print Labels - 09:59 Download source code from: https://github.com/sandzco/Oracle-EBS-Brother-Label-Printer-wifi-PLSQL
Views: 1099 sandeep kethireddy
NORSEL Labeling Software - Installation
 
02:17
For more detailed information, please have a look at the software manual. http://www.norsel.com
Views: 190 Norsel AG
Robust Semi-Supervised Learning
 
01:12:18
Semi-supervised learning algorithms are designed to learn an unknown concept from a partially-labeled data set of training examples. They are widely popular in practice, since labels are often very costly to obtain. This talk is about a new approach to semi-supervised learning that addresses a mismatch between the way semi-supervised learning algorithms have been developed and the way they are commonly used. Most existing semi-supervised learning algorithms are analyzed under the assumption that the algorithm can randomly select a subset of unlabeled training examples and submit them to a labeler. But in many applications of semi-supervised learning, the partially-labeled data is `naturally occurring', and the learning algorithm has no control over which examples are labeled. This is particularly true of data generated by web users. Websites like Facebook, Youtube and Flikr give users the option to label, or 'tag', images, videos and other content, a process that generates very large partially-labeled data sets. We have little understanding of how users select which items to label, but we know that they almost certainly are not selecting them randomly. Instead of assuming that labels are missing at random, we analyze a less favorable scenario where the label information can be missing partially and arbitrarily. We present nearly matching upper and lower generalization bounds for learning in this setting under reasonable assumptions about available label information. Motivated by the analysis, we formulate a convex optimization problem for parameter estimation, derive an efficient algorithm suitable for large data sets, and analyze its convergence. Our algorithm can be viewed as a convex formulation of existing nonconvex approaches to semi-supervised learning, such as posterior regularization, and therefore is less sensitive to local minima. In experiments on several image data sets, we show that our algorithm performs much better than existing semi-supervised learning algorithms under a number of challenging but realistic labeling scenarios. This is joint work with Ben Taskar.
Views: 1621 Microsoft Research
How to print labels from external data sources
 
03:05
Create Labels and Barcodes importing data from external data sources. Data can be imported from Access ©, Excel ©, Sql Server ©, Oracle ©, MySql ©, Lotus notes ©, Dbase, Txt, Csv, Windows address book ©, Outlook ©, Sendblaster ©, wk1-2-3.
Views: 1656 edisplay
Story 7 -  Notes & Labels | Autonomous Mobility – Big Data Engineering | #EnhancingMobility
 
00:37
Check out KPIT’s Automated and Cost-Effective Annotation and Labelling Solution to build and validate AD features. #EnhancingMobility #KPITatCES2018
Views: 214 KPIT
How to print barcode labels on A4 size sheet
 
01:02
In this video, we show you how to select right barcode sheet as per your requirement to print multiple barcode labels with DRPU Barcode Label Maker Software. You'll see in this video, how to choose A4 sheet after measuring the dimension of labels before setting it on your printer. We discussed in this video, how to adjust sheet on your printer, how to design barcode labels with barcode designing features and how to set print settings to print designed barcode labels on your A4 sheet. For demo, we used here General Purpose Laser Printer to show you how to use DRPU Barcode Label Maker Software to print barcode labels.
Views: 2199 Tarun Tyagi
Visio 2013 - Database DIagram (Crows Foot Notation)
 
22:20
This video demonstrates using Crow's Foot Notation to create a database diagram using MS Visio 2013.
Views: 44691 Brian Green
Label Printing Testing and Label History
 
11:51
Oracle EBS (R12) WMS and MSCA training course What you will learn This R12 Oracle Warehouse Management Fundamentals training teaches you how to set up and use Oracle Warehouse Management. Explore how Oracle Warehouse Management supports both paper-based and highly automated environments with material handling systems and radio frequency hand-held computers. Learn To: Describe and process inbound logistics tasks. Describe warehousing features. Describe and process outbound logistics tasks. Set up and define rules using the rules engine framework. Benefits to You By taking this course, you'll get a chance to participate in hands-on practices. You'll perform many of the processing and inquiry transactions necessary to a warehouse environment. These transactions include storage and facility management, inbound logistics, outbound logistics and wave planning. Learn how this solution optimizes material handling business processes for warehouses, manufacturing facilities and distribution centers. Required Pre-requisite Through knowledge of Inventory Management What are the requirements? Basics of Supply Chain Management Basics of Oracle Inventory (Not mandatory) What am I going to get from this course? Over 53 lectures and 5.5 hours of content! Setting up Oracle WMS and MSCA Demonstrate Receiving, Replenishments, Picking and Shipping based on WMS Rules Integrate Employee with Advance Task Framework Generate label from Oracle WMS Configure different Putaway and Picking Rules in Oracle WMS Map the N-Step receiving process using Operation Plan Perform Quick Ship Perform LPN Ship Planned Cross Docking Opportunistic Cross Docking ABC Classification Cycle Counting using MSCA Label Printing Integration Kit Direct Ship What is the target audience? End User of Oracle WMS Implementer of Oracle WMS Support Staff of Oracle WMS Anyone who is enthusiasts to explore career in Oracle WMS To buy the course use the direct link below https://www.udemy.com/oracle-apps-wms-and-msca-training/?couponCode=YOUTUBEFIRST500 Course fee is 45 USD for lifetime access with 30 days moneyback from library
Teklynx Sentinel Automated Label Printing Video
 
01:20
Brady's automated printing solution consists of two software programs, Teklynx CODESOFT™, and Teklynx SENTINEL™. In conjunction with these programs, add any Brady printer and Brady labels to your package and you're ready to automate your printing. Teklynx SENTINEL pulls data from your existing ERP system, database, or front-end-application such as Oracle™ and SAP™. • Remove unnecessary steps from your labeling process. • Integration with multiple systems and multiple printers across your enterprise environment. • Little to no manual management of software, reducing the burden on your IT staff. • The ability to print to multiple printers on your network at one time. • Unrestricted data capture - If you can send inventory tracking software data to SENTINEL, the application will print it. SENTINEL can read virtually any type of text-based flat file, parse the data, and print it. • Secure backups through duplication of all configuration data, giving you a secondary server to rely on during upgrades or scheduled maintenance. • Set-it-and-forget-it style program runs in the background of your operations, reducing the need to train users on another interface. Visit http://www.bradyid.com/en-us/teklynx-sentinel-software/fam-2538779f.html for more information.
Views: 1643 Brady North America
NiceLabel's SAP Label Printing Solutions
 
30:50
Niceware is presenting the new NiceLabel Automation Enterprise software combined with the Control Center Enterprise for a complete SAP integrated labeling solution.
Views: 5092 NiceLabel
Label Printing Setups Part 1
 
16:44
Oracle EBS (R12) WMS and MSCA training course What you will learn This R12 Oracle Warehouse Management Fundamentals training teaches you how to set up and use Oracle Warehouse Management. Explore how Oracle Warehouse Management supports both paper-based and highly automated environments with material handling systems and radio frequency hand-held computers. Learn To: Describe and process inbound logistics tasks. Describe warehousing features. Describe and process outbound logistics tasks. Set up and define rules using the rules engine framework. Benefits to You By taking this course, you'll get a chance to participate in hands-on practices. You'll perform many of the processing and inquiry transactions necessary to a warehouse environment. These transactions include storage and facility management, inbound logistics, outbound logistics and wave planning. Learn how this solution optimizes material handling business processes for warehouses, manufacturing facilities and distribution centers. Required Pre-requisite Through knowledge of Inventory Management What are the requirements? Basics of Supply Chain Management Basics of Oracle Inventory (Not mandatory) What am I going to get from this course? Over 53 lectures and 5.5 hours of content! Setting up Oracle WMS and MSCA Demonstrate Receiving, Replenishments, Picking and Shipping based on WMS Rules Integrate Employee with Advance Task Framework Generate label from Oracle WMS Configure different Putaway and Picking Rules in Oracle WMS Map the N-Step receiving process using Operation Plan Perform Quick Ship Perform LPN Ship Planned Cross Docking Opportunistic Cross Docking ABC Classification Cycle Counting using MSCA Label Printing Integration Kit Direct Ship What is the target audience? End User of Oracle WMS Implementer of Oracle WMS Support Staff of Oracle WMS Anyone who is enthusiasts to explore career in Oracle WMS To buy the course use the direct link below https://www.udemy.com/oracle-apps-wms-and-msca-training/?couponCode=YOUTUBEFIRST500 Course fee is 45 USD for lifetime access with 30 days moneyback from library
CutLogic 2D - Label creating
 
02:23
CutLogic 2D - Panel Cutting Optimization Software ★ CutLogic 2D is an optimizer for cutting rectangular material in industries such as woodworking, furniture, sheet metal, glass cutting etc. ★ CutLogic 2D minimizes your waste by calculating the optimal cutting layouts. ★ CutLogic 2D is unique in terms of quality of optimization and its extensive cutting options not available in similar cutting tools. Learn more about CutLogic 2D here ► https://www.tmachines.com/cutlogic-2d.htm You can download CutLogic 2D here ► https://www.tmachines.com/apps/setupcl2d.exe ★ Main features ★ * Top-class panel cutting optimization for any case * Nesting, guillotine cutting (edge to edge), shearing, slitting * Several types of 2-stage and 3-stage guillotine cutting * Full support for cutting from rolls, slitting and shearing * User can limit stock sizes used in plan, e.g. picking best stock size to order for given parts * CNC machines and G-Code - generation of G-Code with optimized toolpath * Graphical display of cutting layouts with touch screen label printing * Display of cutting sequence * Edge banding - instruction during or after cutting, reports, statistics, export for 1D optimizer * Settable vertical or horizontal orientation of first cut / stage * Settable maximum number of vertical and horizontal cuts / knives * Cost driven optimization - prioritization based on material stock costs * Inventory and tracking of material stocks and remnants (reusable rests) * Inventory Assemblies - possibility to define multipart products in inventory * Remnants production control - feed back control mechanisms allowing optimization of inventory in terms of keeping optimal level of remnants * Group optimization - optimizer finds optimal cutting plan for defined subgroups of parts and available subgroups of stocks * Manual editing of cutting layouts * Part rotation allowance (grain constraints) * Grip allowance (one-sided and two-sided) for glass cutting and similar * Cut table size - maximum length of horizontal / vertical cuts * Metric and fractional length formats * Unmatched versatility and flexibility for any cutting cases * Security and reliability - making the most of true SQL database (Firebird) for data protection, security, backup, crash recovery etc * Wide set of predefined standard report and label templates editable via embedded report designer - editable fields, fonts, functions, barcodes, etc. * Export to CSV, TXT, MS Excel, PDF, RTF, HTML, XML, ODT, ODS * Export to DXF * Import from TXT, CSV, MS Excel, MS Access, clipboard and connection strings (MySQL, Oracle, Firebird, MS SQL Server, etc.) * Enhanced data sorting and filtering capabilities for better outline of information on the screen * Strong, steady and reliable optimization for every cutting case * Available also as ActiveX Control Engine Library
Views: 242 CutLogic
FME UC 2014 - FME and LabelEZ -- when 1 + 1 = 3
 
25:31
Focused on the use of the new LabelEZFactory to label cadastral maps on a daily basis where changes to the map are detected. The labels are stored in an Oracle database and used when distributing cadastral maps as GIS data. See more videos from the FME User Conference 2014 at: www.safe.com/fmeuc
Views: 64 FME Channel
Creating Labels from a Database Using Brother's P-Touch Editor 5
 
02:07
This tutorial applies to the PE Editor Program. For additional assistance, please visit our website: http://www.brother-usa.com/support An official Brother printer support resource Also see https://www.youtube.com/watch?v=V_LM4Bkj_qk and https://www.youtube.com/watch?v=3ugvo8hIGtg for further instructions
Views: 69614 Brother Office
Create GS1-128 Compliant Barcodes with the IDAutomation Label Software
 
02:47
This tutorial explains how to create the MOD10 check character using the Barcode Label Software, which is often required when implementing GS1-128 barcodes for various specifications. To enable IDAutomation barcode products to calculate the MOD 10 when the barcode is created, the ApplyTilde property must be enabled and the format ~m?? must be used where ?? is a 2 digit number representing the number of characters preceding the tilde on which to base the Mod 10 calculation. Download a Demo of IDAutomation's Barcode Label Software: http://www.idautomation.com/barcode-label-software/idautomation/download.html For more information, please visit the Code 128 FAQ for GS1 at: http://www.idautomation.com/barcode-faq/code-128/#Creating_GS1-128
Adding Variable Graphics to Your Forms and Labels with MarkMagic Barcode Labeling Software
 
03:07
Need to add variable graphics to your forms, labels, packing slips, shipping labels, and business forms? MarkMagic barcode labeling software allows you to add variable graphics to your forms and labels without any programming. This is a perfect option for companies that drop ship merchandise, and brands that add things like visual instructions to their packing slips and business forms. Learn more about how MarkMagic can improve your forms and label printing needs at https://cybra.com/markmagic
Views: 89 CYBRA
Showing Labels on Maps
 
00:16
Mapline makes it simple make a map from Excel spreadsheet data. Once you have your map, you can easily show the names of each location using Mapline's Label feature.
nice label odbc
 
03:26
Views: 188 gorhas
Hub Labels in Databases   Shortest Paths for the Masses, Andrew Goldberg, Microsoft Research
 
27:50
We introduce HLDB, the first practical system that can an-swer exact spatial queries on continental road networks en-tirely within a database. HLDB is based on hub labels (HL), the fastest point-to-point algorithm for road networks, and its queries are implemented (quite naturally) in standard SQL. Within the database, HLDB can answer exact dis-tance queries and retrieve full shortest-path descriptions in real time, even on networks with tens of millions of ver-tices. Moreover, the basic algorithm can be extended in a natural way (still in pure SQL) to answer much more so-phisticated queries, such as finding the ten closest fast-food restaurants or minimizing the detour for stopping at a gas station on the way home. By taking advantage of special properties of HLDB (instead of using a distance oracle as a black box), even these sophisticated queries can be answered in real time. As databases are external memory by design, so is HLDB. Joint work with Ittai Abraham, Daniel Delling, and Renato Werneck.
Views: 135 MMDS Foundation
Bentley Map Oracle
 
24:19
In deze film worden de volgende onderwerpen behandeld: • Aanmaken een tabel. • Vullen USER_SDO_GEOM_METADATA • Aanmaken Spatial Index • Aanmaken Sequence • Aanmaken en domain tabellen. • Koppelen domain tabel aan tabel (Foreign Key) • Bentley Geo Spatial Administrator ( Aanmaken Graphical Source, Registreren Feature, Instellen criteria en symbology, Aanmaken workspace) • Query en Post data Bij vragen kunt u contact opnemen via [email protected]
Views: 994 TLIUpdates
Primavera P6 adding label to gantt chart bars
 
01:43
for a full list of topics for "Primavera P6 Enterprise Project Portfolio Management Implementation Specialist" see the link below: http://oracleprimaverap6.blogspot.se/
Views: 2970 Lernogram
Large scale sentiment learning with limited labels
 
02:00
Large scale sentiment learning with limited labels Vasileios Iosifidis (Leibniz University of Hanover) Eirini Ntoutsi (Leibniz University of Hanover) Sentiment analysis is an important task in order to gain insights over the huge amounts of opinions that are generated in the social media on a daily basis. Although there is a lot of work on sentiment analysis, there are no many datasets available which one can use for developing new methods and for evaluation. To the best of our knowledge, the largest dataset for sentiment analysis is TSentiment, a 1.6 millions machine-annotated tweets dataset covering a period of about 3 months in 2009. This dataset however is too short and therefore insufficient to study heterogeneous, fast evolving streams. Therefore, we annotated the Twitter dataset of 2015 (275 million tweets) and we make it publicly available for research. For the annotation we leveraged the power of unlabeled data, together with labeled data which we derived using emoticons and emoticon-lexicons, using semi-supervised learning and in particular, Self-Learning and Co-Training. Our main contribution is the provision of the TSentiment15 dataset together with insights from the analysis, which includes both batch-and stream-processing of the data. In the former, all labeled and unlabeled data are available to the algorithms from the beginning, whereas in the later, they are revealed gradually based on their arrival time in the stream. More on http://www.kdd.org/kdd2017/
Views: 551 KDD2017 video
Управление данными
 
02:33
Цель курса – сформировать у студентов знания о современных базах данных и системах управления базами данных (СУБД), математических основах теории баз данных, методах и средствах проектирования баз данных и работы с ними; выработать умения и навыки информационного моделирования, проектирования и эксплуатации баз данных. В ходе выполнения заданий лабораторного практикума, студенты познакомятся с современными программными средствами: ERWin Data Modeler, Oracle Database и Microsoft SQL Server.
RealSynth - Automotive Showcase
 
00:35
RealSynth is a recently founded company that makes teaching artificial intelligence to see much more affordable and flexible. Training computer vision algorithms to recognize objects in an image requires huge amounts of training data. Collecting and labeling this data is a very costly and labor intensive process. We at RealSynth minimize the need of actual field data! We provide computer-generated images to train machine learning algorithms. This reduces data acquisition costs by up to 90% and increases the flexibility and control over the data acquisition process. Taking this as a first step, our ultimate goal is to minimize the need for field tests as much as possible. We envision a fully simulated and controlled environment where developers can both train and test-bench AI-based systems. We are a team of engineers, looking to connect with companies that use computer vision technology to develop systems for automation.
Views: 356 RealSynth
Oracle JET - Lesson 3 - Part 3: Accessibility
 
04:31
How to solve problems for users with disabilities, and an examination of the related features in Oracle JET, including the Oracle JET Developer Guide.
Search Improves Label for Active Learning
 
03:18
NIPS 2016 spotlight video https://arxiv.org/abs/1602.07265 We investigate active learning with access to two distinct oracles: Label (which is standard) and Search (which is not). The Search oracle models the situation where a human searches a database to seed or counterexample an existing solution. Search is stronger than Label while being natural to implement in many situations. We show that an algorithm using both oracles can provide exponentially large problem-dependent improvements over Label alone. Authors: Alina Beygelzimer (Yahoo Research) Daniel Hsu (Columbia) John Langford (Microsoft Research) Chicheng Zhang (UCSD)
Views: 221 Chicheng Zhang
Trigger retention policies with Events in Advanced Data Governance
 
13:31
If you're looking to develop a strategy on what data to keep or delete inside of your organization, we're gonna walk you through the data retention capabilities in Office 365 Data Governance, with new updates, including the ability to retain your data in Microsoft Teams, event-based retention triggered by specific events, insights and analytics of your daily use in Labels Explorer, and managing your deletion process through disposition review. Find more info here: aka.ms/DG
Views: 10332 Microsoft Mechanics
Partner Webcast - Oracle Value Proposition for ISV Applications - 28 Feb 2013
 
01:06:33
The Partner Hub - ISV migration center is here to help you take Advantage of Oracle's Technology and other resources for evolving your ISV Applications! As IT organizations are striving to reduce total cost of ownership (TCO), improve their ability to react to changing business demands, and minimize their reliance on legacy skill sets—all while working to meet new compliance mandates, Partner ISV solutions need to alight these requirements. Organizations have realized that they are spending a large percentage of their IT budget on maintaining legacy/ disparate technology applications, and if anything, this cost is increasing. Partner Solutions should allow organizations to utilize new, more efficient and agile technologies that can reduce the total cost of ownership, minimize the reliance on legacy skill sets and increase the quality of the offering. Oracle Database and Database Options provide the latest in efficient, reliable, secure data management for mission-critical on-line OLTP applications, query-intensive data warehouses and Web2.0 applications. Oracle Weblogic along with the Oracle Application Development Framework for Java EE, and the Oracle Fusion Middleware Portfolio, provide the highest performance and scalability, while dramatically simplifying application development with out-of-the-box infrastructure services and a visual and declarative development experience. The right planning, preparation, and best practice guidelines will make the whole transformation process for your ISV Application simpler, faster, and more predictable form start to finish. Are you being asked to meet more demanding service levels, contain costs, or refresh obsolete technology to deliver the latest capabilities? Can you respond to changing market conditions, competition, and the end user requirements. Are you feeling restricted by the things you can offer to your customers? Is your application delivering all the capabilities required by customers nowadays? (Web-Based, Cloud deliver, Accessibility Mobile Phones or Tablets, etc). Looking to generate more business from your existing opportunities? Is your sales revenue minimized to maintenance and not up selling relevant technologies? Is your Solution competitive, assisting the customer in meeting his requirements? The Latest Oracle Technology has so many things to offer to your application and your customers. We are here to help you thoughout the process for free, so you can deliver more and generate more and more revenue. Find out more on the Oracle Value Proposition for ISV Applications bellow and get in touch with us at Partner.IMC-AT-beehiveonline.oracle-DOT-com to start evoling your applications.
Views: 415 Oracle IMC
Centralized Label Storage - Bartender Enterprise Labeling Best Practices
 
00:54
BarTender Enterprise labeling software grows with your business. Design and print labels and barcodes, encode RFID tags, create mag stripe and smart cards. Additionally, it can be used to drive print & apply systems, perform direct part marking, create signage like shelf tags plus do laser etching providing a solution for most industries and regulations. Do you have questions about labeling software? Call a product specialist at 1-800-446-1991.
Views: 124 RACO Industries
Labeling MAP by Bentley Map
 
05:01
Labeling text data from database by Bentley Map v8i
Views: 2212 Jaeman Kim
Oracle Apex 5.1(8)-Full Description of Page-Item  in Oracle APEX (in hindi By JavaInHand)
 
08:10
An item is part of an HTML form. An item can be a text field, text area, password, select list, check box, and so on. Item attributes affect the display of items on a page. For example, these attributes can impact where a label displays, how large an item is, and if the item will display next to or below the previous item.
Views: 966 JavaInHand
Image Auto-tagging using Machine Learning
 
00:58
See how Oracle Content Experience Cloud can be extended with machine learning services to auto-tag 1000's of images within seconds, enabling marketers and merchandisers to instantly find matching best assets for their campaigns without spending hours on tagging Oracle Content and Experience Cloud ================================= For more information, see http://cloud.oracle.com/content Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
TekTip: How to Connect to a SQL Database
 
03:06
Support Center Article: http://ow.ly/p1rq302CZTr www.teklynx.com
Views: 1325 TEKLYNX International
LabelDirect Tutorials - Designing a Label
 
03:06
How to design a simple label using LabelDirect from Image Computer Systems
Views: 219 imagecs
SQL: Sequence Generator
 
04:41
In this tutorial, you'll learn how to make use of sequence generator. PL/SQL (Procedural Language/Structured Query Language) is Oracle Corporation's procedural extension for SQL and the Oracle relational database. PL/SQL is available in Oracle Database (since version 7), TimesTen in-memory database (since version 11.2.1), and IBM DB2 (since version 9.7).[1] Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database. PL/SQL includes procedural language elements such as conditions and loops. It allows declaration of constants and variables, procedures and functions, types and variables of those types, and triggers. It can handle exceptions (runtime errors). Arrays are supported involving the use of PL/SQL collections. Implementations from version 8 of Oracle Database onwards have included features associated with object-orientation. One can create PL/SQL units such as procedures, functions, packages, types, and triggers, which are stored in the database for reuse by applications that use any of the Oracle Database programmatic interfaces. PL/SQL works analogously to the embedded procedural languages associated with other relational databases. For example, Sybase ASE and Microsoft SQL Server have Transact-SQL, PostgreSQL has PL/pgSQL (which emulates PL/SQL to an extent), and IBM DB2 includes SQL Procedural Language,[2] which conforms to the ISO SQL’s SQL/PSM standard. The designers of PL/SQL modeled its syntax on that of Ada. Both Ada and PL/SQL have Pascal as a common ancestor, and so PL/SQL also resembles Pascal in several aspects. However, the structure of a PL/SQL package does not resemble the basic Object Pascal program structure as implemented by a Borland Delphi or Free Pascal unit. Programmers can define public and private global data-types, constants and static variables in a PL/SQL package.[3] PL/SQL also allows for the definition of classes and instantiating these as objects in PL/SQL code. This resembles usage in object-oriented programming languages like Object Pascal, C++ and Java. PL/SQL refers to a class as an "Abstract Data Type" (ADT) or "User Defined Type" (UDT), and defines it as an Oracle SQL data-type as opposed to a PL/SQL user-defined type, allowing its use in both the Oracle SQL Engine and the Oracle PL/SQL engine. The constructor and methods of an Abstract Data Type are written in PL/SQL. The resulting Abstract Data Type can operate as an object class in PL/SQL. Such objects can also persist as column values in Oracle database tables. PL/SQL is fundamentally distinct from Transact-SQL, despite superficial similarities. Porting code from one to the other usually involves non-trivial work, not only due to the differences in the feature sets of the two languages,[4] but also due to the very significant differences in the way Oracle and SQL Server deal with concurrency and locking. There are software tools available that claim to facilitate porting including Oracle Translation Scratch Editor,[5] CEITON MSSQL/Oracle Compiler [6] and SwisSQL.[7] The StepSqlite product is a PL/SQL compiler for the popular small database SQLite. PL/SQL Program Unit A PL/SQL program unit is one of the following: PL/SQL anonymous block, procedure, function, package specification, package body, trigger, type specification, type body, library. Program units are the PL/SQL source code that is compiled, developed and ultimately executed on the database. The basic unit of a PL/SQL source program is the block, which groups together related declarations and statements. A PL/SQL block is defined by the keywords DECLARE, BEGIN, EXCEPTION, and END. These keywords divide the block into a declarative part, an executable part, and an exception-handling part. The declaration section is optional and may be used to define and initialize constants and variables. If a variable is not initialized then it defaults to NULL value. The optional exception-handling part is used to handle run time errors. Only the executable part is required. A block can have a label. Package Packages are groups of conceptually linked functions, procedures, variables, PL/SQL table and record TYPE statements, constants, cursors etc. The use of packages promotes re-use of code. Packages are composed of the package specification and an optional package body. The specification is the interface to the application; it declares the types, variables, constants, exceptions, cursors, and subprograms available. The body fully defines cursors and subprograms, and so implements the specification. Two advantages of packages are: Modular approach, encapsulation/hiding of business logic, security, performance improvement, re-usability. They support object-oriented programming features like function overloading and encapsulation. Using package variables one can declare session level (scoped) variables, since variables declared in the package specification have a session scope.
Views: 7977 radhikaravikumar
DoD Officials Describe Plan for Cloud Acquisition Program
 
01:29:35
Defense Department officials outline the Pentagon’s plan for the Joint Enterprise Defense Infrastructure cloud acquisition program at a DoD industry day, March 7, 2018. For more on the Department of Defense, visit: http://www.defense.gov Like DoD on Facebook: http://facebook.com/DeptofDefense Follow DoD on Twitter: http://twitter.com/DeptofDefense Follow DoD on Instagram: http://instagram.com/DeptofDefense
Views: 1864 Department of Defense