Software companies

Virtual Lab Automation is refers to a category of software solutions to automate IT labs using virtualization technology. Virtual Lab Automation (VLA) solutions are available as on-premise packaged software or as a cloud service.

Contents

• 1 History
• 2 Capabilities
  • 2.1 Resource Pooling and Provisioning
  • 2.2 Multi-Machine Configurations
  • 2.3 Configuration Library
  • 2.4 Suspend, Snapshot and Restore
  • 2.5 Scheduling and Reservations
  • 2.6 Reporting and Monitoring
  • 2.7 Automation API
  • 2.8 Administration and Security
• 3 Vendors
• 4 References
• 5 External links

//

History

Akimbi pioneered the Virtual Lab Management sklep wielkopowierzchniowy with its Slingshot product was launched in 2006 as well. Skytap introduced the first cloud-based virtual lab automation product in 2008.

Capabilities

A virtual lab automation solution typically includes the following capabilities:

Resource Pooling and Provisioning

Resource pooling enables processing power, storage and networking infrastructure to be shared between different teams and individuals, increasing utilization and availability of resources, and reducing costs. In conjunction with resource pooling, an orchestration and provisioning process allocates and releases resources as needed.

Multi-Machine Configurations

Virtual machine images are the containers that enable operating systems and applications to be isolated from physical resources. A group of virtual images that define a complete ustrój, including network and storage characteristics, is defined as a configuration. For instance, a configuration could consist of multiple Windows Vista client machines, an Oracle database server and a WebSphere application server. Configurations can be easily created by combining virtual machines through a user interface. A configuration is a very useful concept for QA teams because it allows a whole układ to be defined and isolated in a badanie environment. Virtual networking enables copies of the same environment to be plajta in parallel and the emulation of production environments during the egzamin process.

Configuration Library

A configuration library allows a reprezentacja narodowa to manage and organize virtual images and configurations. Kanon builds and images can be created and made available to development and QA teams to save hours of set-up time and environment configuration. Additionally, the library is used to store new configurations that are cloned or created as part of a test.

Suspend, Snapshot and Restore

The ability to suspend a complete state of a multi-machine configuration and make a snapshot (a copy at a point in time) is a major benefit of virtualization. This is especially useful for application development teams because when a bug is found a configuration snapshot to be taken at the point of failure and a łącze to the configuration added to a defect report. Instead of a developer spending hours to reproduce the defect, he or she can restore the configuration and początek debugging the issue within minutes.

Scheduling and Reservations

Many in-house virtual lab implementations have a fixed pool of resources for teams to share. Scheduling and reservation functionality allows the resolution of resource conflicts and badanie environments to be reserved ahead of time.

Reporting and Monitoring

Reporting modules allow users and administrators to manage usage and quotas and determine whether the organizm resources are being used optimally. Obserwacja enables the ustrój health to be diagnosed, including CPU utilization, storage performance and network usage.

Automation API

Automating a badanie lab almost always involves integrating tools and badanie processes. An automation API enables teams to automatically create badanie environments as part of the build process and initiate automated egzamin runs once a new build has been deployed. An automation API is typically made available through a web services interface.

Administration and Security

Administration and security features often include user and quota management, project creation, permissions and authentication. Remote access to the organizm (for instance for an outsourced vendor) is usually managed through secure connections via encrypted protocols and virtual private networking.

Vendors

Virtual lab automation solutions are available as on-premise packaged software or as a cloud service. VMware, Surgient and VMLogix launched in 2006 to provide packaged software solutions. Skytap launched in 2008. and offers virtual lab automation as a cloud service.

References

1. ^ “Akimbi makes virtual labs real”.
2. ^ “VMware Advances Software Lifecycle Management”.
3. ^ “VMLogix Launches LabManager in North America to Simplify the Software Development Lifecycle”.
4. ^ “Skytap reveals cloud-based services as it enters virtual lab market”.

External links

• Skytap
• Surgient
• VMLogix
• VMWare Lab Manager

Retrieved from “http://en.wikipedia.org/wiki/Virtual_lab_automation”
Categories: Software by domain

Digital Noise Reduction or DNR is a software oprogramowanie used to enhance the quality of digital photographic reproductions of either still or moving images. It is a tool especially useful to correct imperfections (such as obraz filmowy grain, electronic noise, obraz speckles, dirt, scratches, etc) inherent in the source material, in particular those from obraz negatives, photographs and other such copies.

References

1. ^ http://www.cinedrome.ch/hometheater/dvd/dnr/ Cinedrome “Digital Noise Reduction on DVD: Background and Examples”

 This software-related article is a stub. You can help Wikipedia by expanding it.

Retrieved from “http://en.wikipedia.org/wiki/Digital_noise_reduction”
Categories: Software stubs | Software by domain

Studying in an educational context refers to the process of gaining mastery of a certain area of information. Study software then is any oprogramowanie which allows students to improve the time they spend thinking about, learning and studying that information.

More specifically study software’s objective is to increase the effective application of efficacious study skills to that information, such that thinking and learning about that information is more productive per unit time.

Different subjects being studied may benefit from a different spread of study skills being applied. Mathematics requires a somewhat different set of study skills to the skill required to learn a language.

Some types of study software are subject specific teachers of material and may or may not contain the information/content that requires mastery.

Study software therefore is a blanket for a variety of overlapping software types.

Contents

• 1 Origins
• 2 Benefits
• 3 Barriers
• 4 Future
• 5 See also
• 6 References

//

Origins

Education has of course been a road to a better life and so the drive for improvement has been universal from students. Students in most US institutions are not taught how to study/learn specifically. Yet there is now hard evidence for some methods for study/learning being superior to others, and that there is benefit in teaching ’study skills’ themselves.

Study software to a degree, seeks to circumvent this sprawa, by causing the żak to follow good practices, through the use of the software, without necessarily having to know about the background science of memory and learning.

Historically the most successful types of study software include Mindmapping and Flashcard software programs. Both independently have been proven to improve learning. Mapping software’s claimed strengths are more at the thinking end of the spectrum of study and are criticized for their lack of efficacy once the benefits of organizing information are finished. Flashcard software’s strengths are more at the learning end of the spectrum of study and are criticized as being for rote learning only.

A more recently arrived group is typified by the offering by software giant Microsoft, of MS One-Note and are best summarized as being predominantly for information gathering.

There are also hybrids of the above broad types available, including ones that can actually badanie students on their notes.

Benefits

Benefits that the various types of study software might confer include various mixtures of:-

1. Subject specific content built into the software which therefore bypasses the studenciak need to make notatnik themselves, and may or may not also incorporate various other beneficial principles of learning including the above.
2. Efficient making and editing of notatnik - The simple steps that are required to get information into the oprogramowanie must be efficient, ideally support multiple shortcut keys OR be very tablet friendly with ‘Microsoft ink functionality’ OR have an active speech recognition układ or interface. This sawanna is of course somewhat or completely bypassed if the oprogramowanie has inbuilt content.
3. Memory targeting notetaking style - Notatnik that are created should be of an intrinsically more memorable type than that which could be created without the scholar using software - typically this will include a visually stimulating diagrammatic, likely some variation of mind-mapping which may conform more or less closely to Tony Buzan’s ideal. Tony Buzan himself has created a mindmapping oprogramowanie which follows his methods, however more popular mapping programs allow more than one word per branch of the diagram for żak convenience and the information itself is placed also in the join points of the map.
4. Efficient wwóz of information from a variety of sources - including images, sounds, webpage content or entire webpages and as many other filetypes as possible.
5. Tracking of knowledge through testing and review - From simple Q-A to MCQ to testing of mapping diagrams, there are a variety of presentations of this functionality with different pro’s and con’s. The more scientific confer the benefits of the ’spacing effect’ to the akademik user.
6. Improvements in access to information required for learning - some programs are specifically designed to be used with databases of information which are subject specific.

Barriers

Barriers to the use of study software include:

1. Students require a computer, and Sieć access (ideally broadband), for optimal use of typical study software. Multiple studies show that access to these key elements is increasing impressively year by year, however this is still an issue in 2007.
2. Many students cannot type and so the time they spend putting information into the software can offset the potential benefits. Conversely typing tutors and speech recognition are both improving and each have their roles.
3. Lack of recognition of study as a skill - as a general rule, teachers do the work of making the learning of information more efficient for students, and spend rather less time teaching them how to gather and learn from raw information sources. Consequently students frequently don’t recognize the efforts that the teacher has made in the background to convey understanding and this bypasses to a great degree, the student’s need for study skills. When that akademik arrives at higher levels of education they semi randomly are or are not lucky enough to stumble across useful learning strategies relevant to their field of interest, or in the case of study software, the help.
4. Lack of consideration of software as an avenue for improving study efficiency. While many study skills may be added to a student’s repertoire without need for study software, some are done more efficiently with study software (e.g. editing of mindmaps) or cannot be easily done without the help of dedicated software (e.g. calculation of the spacing effect to improve learning efficiency).
5. Content based study software is often only relevant in a local sphere, as even in specific areas of learning, content taught varies considerably by geographic location.

Future

A number of converging trends make it extremely likely that study software will become ubiquitous within 10 years.

Supply of the enabling technologies will improve.

Trends include: Improvements in battery technology, head worn sound and visual displays, input devices, speech recognition, handwriting recognition will allow mobile computing to become the norm. There are no more ‘basic breakthroughs’ needed in any of these areas before wearable computers become a given in the near future. Broadband access, especially wireless will mean that the normal state of affairs for a studenciak will be to be online at a moment’s notice. Ultimately the computer will be a constantly worn companion for a typical student.

Demand for the service will increase.

With physical goods becoming cheaper, and less labour intensive, increasing emphasis on ’services’ as a valuable labor commodity throughout the world will mean that higher and higher levels of education, with increased competition for places, will require improvements in learning efficiency that can only be brought about through the application of specialized study software to the problem.

See also

• Memory
• Mind map
• Flashcard
• Forgetting curve
• Spaced repetition
• List of Mind Mapping software
• List of concept mapping software
• Notetaking

• spacing effect
• free recall

References

• Burdess, N. (1998). Handbook of akademik skills. (2nd ed.). Sydney: Prentice Hall

• Farrand, P, Hussain, F, Hennessy, E (2002) The efficacy of the ‘mind map’ study technique. Medical Education. 36 (issue5) p426-

• Glenberg A.M. (1977) Influences or the retrieval processes on the spacing effect in free recall. J. of Exp. świr. 3: 282-294

• Hilliary F.G Et Al (2003) Spacing of Repetitions Improves Learning and Memory After Moderate and Severe TBI. J of Clin. and Exp. NeuroPsychol. 25(1): 49-58 (as above sieć link)

• Hintzman D.L. (1974) Theoretical implications of the spacing effect. In: Theories in cognitive psychology: The Loyola Symposium (Ed.R.L. Solso), p. 77-99

• Toppino T.C, Kasserman J.E., Mracek W.A (1991) The effect of Spacing Repetitions on the Recognition Memory of Young Children and Adults. J. of Exp. Child Pomyleniec. 51: 123-138

• Withers, G. (1991). Tackling that egzamin: Everything you wanted to know about taking tests and exams. Hawthorn, Vic.: Australian Council for Educational Research.

Retrieved from “http://en.wikipedia.org/wiki/Study_software”
Categories: Educational technology | Software by domain

Comparison-Shopping agents, also called shopbots, are Web software applications that can help online shoppers find lower price for commodities or services. Price comparison services was the earliest service a comparison-shopping szpieg provides. To search the price of a particular item, a comparison-shopping kret would search multiple online stores based on the keyword the online shopper provides. The keyword could be an ISBN number of a book or something like “iPod.”

The first widely recognized comparison-shopping szpieg was BargainFinder developed by then Andersen Consulting and its SmartStore center.

• it is a an example of Semantic web
• They rely on wrappers: extensive programming required
• Wrappers need to be reprogrammed when an online store changes its outfit
• Wrappers extract information based on textual analysis
  • Error-prone
  • Limited information extracted

Retrieved from “http://en.wikipedia.org/wiki/Comparison_shopping_agent”
Categories: Software by domain

Truck Scale Software is a class of software pertaining to the collection of transactional scale weighment prekluzja. Specifically for truck scales used to weigh heavy trucks, light trucks, or other commercial vehicles. The basic concept of Truck Scale Software is to provide the end user with a means of collecting and organizing weighment information.

Contents

• 1 Developers
• 2 Vendors
• 3 Users
• 4 Various Truck Scale Software Providers

//

Developers

The Truck Scale Industry is not a highly wertikal niche sklep wielkopowierzchniowy as one might expect. With consumers ranging from single-site low transaction “mom and batiuszka shops” to multi-national heavy volume corporations; the various Truck Scale Software development companies have ample opportunity to differentiate by targeting the very different needs of the specific consumer types.

The basic concept of Truck Scale Software is to provide the end user with a means of collecting and organizing weighment information.

Vendors

Before the software industry found the Truck Scale niche (in fact before the software industry was even born) scale users would either have to come up with their own customized methods for tracking termin, or require that the scale vendor provide one as part of the weighing organizm. This led to scale vendors needing to be able to provide prekluzja collection and management solutions in odznaczenie to compete.

Today, scale vendors are still offering simple (usually quite limited) solutions with systems, sometimes in direct competition with the software developers who are creating much more powerful termin collection packages and dynamic user-friendly interfaces like Interact, WasteWORKS, or SMS Turbo. Many of the larger scale vendors however, have started referring to certain Truck Scale Software packages or directly reselling them (for turn-key solutions).

Sometimes, truck scale software is part of a much larger software (and is then sometimes referred to as a weighbridge). Many targeted ERPs for industries like quarry/mining/agriculture contain interface module for weighbridges.

Some truck scale manufacturers develop and sell their own software for weigh układ interfacing and prekluzja collection.

Users

Within the consumer sector of the truck scale industry are several subcategories of end user. The consumers range from the single-scale “mom and batiuszka shop” to multi-national corporations with hundreds or even thousands of scale sites some of them totally unmanned running on smart cards. Each customer is unique to the point where a “canned package” is almost out of the question. The sklep wielkopowierzchniowy is highly service oriented with any final solution being somewhat custom tailored to the end user’s needs. It is not uncommon for a software package to have an obscure feature only because one particular customer “had to have it and was willing to pay for it”.

Various Truck Scale Software Providers

Advanced Weighing Systems
CanScale
Fairbanks
Fast-Weigh
Rice Lake Weighing Systems
TSW Automation, Inc.

I-TEC Systems Inc.
Avery Weigh-Tronix

Retrieved from “http://en.wikipedia.org/wiki/Truck_scale_software”
Categories: Software by domain

Please help improve this article by expanding it. Further information might be found on the talk page or at requests for expansion. (July 2007)

This article does not cite any references or sources.
Please help improve this article by adding citations to reliable sources. Unverifiable material may be challenged and removed. (February 2007)

The “Intelligent tutoring układ” research community uses the term authoring systems to refer to a computer based układ that allows a general group (including non-programmers) to create (i.e., author) content for intelligent tutoring systems. While a few intelligent tutoring systems have been successfully created, they are very costly to construct.

A recent book reviews some attempts to build authoring tools.

In Wolumen Murray, Stephen Blessing, and Sharon Ainsworth, editors, Authoring Tools for Advanced Technology Learning Environ-ment. Kluwer Academic Publishers, Dordrecht, 2003

In the development of educational software, an Authoring Układ is a oprogramowanie that allows a non-programmer to easily create software with programming features. The programming features are built in obuwie hidden behind buttons and other tools, so the author does not need to know how to oprogramowanie. Generally Authoring Systems provide lots of graphics, interaction, and other tools educational software needs.

Authoring Systems are related to Authoring Languages. An Authoring Language is the programming language that is behind the Authoring Ustrój, available for the programmer who is also developing educational software. This programmer can take advantage of the tools built into the Authoring Ustrój (easy graphics placement, color, animations, etc.) and then fine tune the product by accessing the language behind it.

While true Authoring Systems, with easy, effective use by a domain area specialist like an English teacher, may be few and far between, many educators can and do use commercial products such as Adobe’s Dreamweaver and Flash, and Microsoft’s Power Point to create tutorials for their students.

Authoring tool

An authoring tool is a software package which developers use to create and package content deliverable to end users.

Though authoring tools have a range of uses, they are commonly used to create e-learning modules. These modules are generally written to conform to some international kanon, such as SCORM (Shareable Content Object Reference Wzór) or AICC (CBT) (Aviation Industry CBT Committee).CBT

Distribution of content created with authoring tools also varies. Distribution methods include: web, stoisko, interactive CD-ROM, and executable file.

Since the term is somewhat general, many programs can be considered authoring tools, including web editors, Flash, and PowerPoint. However, only a small group of programs specifically include support for e-learning content standards including e2train Compose, Atlantic Hiperłącze Content Point, Macromedia (Adobe) Authorware, Director, Dynamic PowerTrainer, Lectora, ToolBook and RWD uPerform.

See also

• Xerte
• Lectora
• Microsoft Learning Content Delivery System

External links

• datango - Authoring układ for E-Learning and Electronic Performance Support for Business Applications

• Microsoft - Learning Content Development System

 This software-related article is a stub. You can help Wikipedia by expanding it.

Retrieved from “http://en.wikipedia.org/wiki/Authoring_systems”
Categories: Software by domain | Software stubs | Educational psychology | Programming language topics | Computer languagesHidden categories: Articles to be expanded since July 2007 | All articles to be expanded | Articles lacking sources from February 2007 | All articles lacking sources

Golden Software Inc.

Type
Private company

Founded
1983

Headquarters
809 14th Street, Golden, Colorado, USA 80401

Key people
Patrick Madison, (CEO)
Dan Smith, (Lead Developer)

Industry
Scientific Software

Website
goldensoftware.com

Golden Software Inc. is a privately held, American company based in Golden, Colorado. It develops and markets a small catalog of GIS and scientific software.

Founded in 1983, Golden Software is one of the world’s oldest software companies, and the first to sklep wielkopowierzchniowy three-dimensional surface and contour mapping applications for the PC.

Contents

• 1 History
• 2 Products
• 3 References
• 4 External links

//

History

Patrick Madison, a CSM computer science instructor, and Dan Smith, a graduate scholar, began a partnership in 1983 with the development of a printer interface language that took advantage of the full resolution available to dot-matrix printers.

Their first commercial oprogramowanie, PlotCall, transformed plotter instructions into dot-matrix instructions compatible with over 20 commercial printers. This opened the computer graphing and mapping sklep wielkopowierzchniowy to the wider estrada of users with inexpensive commercial printers.

Between 1985 and 1986 the company released two DOS applications: Surfer, a surface and contour mapping oprogramowanie, and Grapher, a spreadsheet-plotting application.

In 1990 it released its first Windows oprogramowanie: MapViewer. Thier next product, Didger was released in 1996.

Their most recent programs, Strater and Voxler began shipping in 2004 and 2006.

Products

Golden Software programs are used in a wide variety of professional geological applications. They have been described as “user-friendly and accessible”.

• PlotCall a DOS graphics-printing program
• Surfer, a surface and contour mapping program
• Grapher, a plotting application
• MapViewer, a georefrencing cartography program
• Didger, a georefrencing, map and log digitizing, and coordinate-conversion package
• Strater, a well and borehole logging application
• Voxler, a 3D volumetric modeling and analysis program

References

1. ^ Ghram, Steve (Febuary 15), “Mapping a global buisness krój”, Mile High News: 23 
2. ^ PC: The Independent Guide to IBM Personal Computers (San Francisco, Calif.: Software Communications, c1982) 3: 170,381, March, ISSN 0745-2500, <Google Books> 
3. ^ . “Golden Software Products: from Ordinary Geological Tasks to Experimental Maps”. Retrieved on 2008-10-24.

• “Golden Software History”. Retrieved on 2008-10-24.
• Grant, Felix. “Visualisation: Golden Software”. Software Reviews. Scientific Computing World. Retrieved on 2008-10-24.

External links

Golden Software official website

Retrieved from “http://en.wikipedia.org/wiki/Golden_Software”
Categories: Software companies | Software companies of the United States