FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W784289689> ?p ?o ?g. }

• W784289689 abstract "A considerable interest has emerged in the development of virtual reality applications due to the acceptance of VRML 2.0 as the de facto standard for these applications over the Internet. In this study, we examine and discuss the application of virtual reality for abstract data applications. As a problem domain, we consider monitoring equity stock a domain that is characterized by abstract data. There are several reasons why this study is important. First, while virtual reality has been applied to domains that are easy to visualize or scientific visualization e.g., building layouts, part assemblies, human anatomy, etc. (Poston and Serra 1996, Byarri et al. 1996, Bryson 1996), little work has been done on applications that are abstract in nature. Stock monitoring is an abstract application wherein it is difficult to visualize various facets of a stock for the purpose of monitoring it. Many business applications share this similar level of abstraction. Thus, a research on this application will provide pointers to develop other virtual reality business applications. Stock Monitoring VRML 2.0 World Application The following is an implementation of VRML 2.0 for monitoring selected securities from two industries –Airline with 4 firms and Semiconductors with 6 firms. Each firm is represented as a visual stock-object, the object has several visual/audio attributes. Virtual reality stock-objects for each of the two industries are placed on separate locations in the world. The following are depicted in the world for each stock-object instance: • Percent weekly gain. Depicted as a thin, fixed radius red cylinder with the base located on the 0 of the Y axis. The height provides a visual measure of the value of the gain. Positive gains appear on the positive Y axis. Negative gains (losses) appear on the negative Y axis. • Percent intraday gain. Depicted as a variable radius cylinder with the base located on the 0 of the Y axis. The height provides a visual measure of the value of the gain. • Percent invested in portfolio (only applicable to portfolios). Radius of cylinder provides visual measure. • Intraday price volatility. Color of cylinder provides measure of volatility. Red is most volatile, blue is least volatile. • Weekly abnormal trading volume. A blue square revolving around the -Y local axis of the stock-object. The faster the revolution, the larger is the weekly abnormal volume. • Intraday abnormal trading volume. A red sphere revolving around the +Y local axis of the stock-object. The faster the revolution, the larger is the intraday abnormal volume. • Last four trading ticks. An aluminum arrow-head depicts the fourth previous trading tick. Bronze arrow-heads depict the next three successive trading ticks. These arrow-heads are horizontal, upwards facing or downwards facing depending upon the price trend. • Weekly high/low percent. A thin cone (spire) with the base on the 0 of the local Y axis extending either to the +Y or the -Y local axis. The height of the spire provides a visual measure of the percent. This extends to the positive Y ( negative Y) local axis when the weekly percentage gain is positive (negative). Additional support provided: • Alarm. Alarm sounds when last three trading ticks are down • Basic fundamentals. Touching the Intraday Gain Cylinder activates a billboard that shows the basic fundamentals: Price, Beta, EPS, P/E , Dividend Yield, and Dividend Amount Decision Support for Trading The VRML world provides two important benefits to dealers/investors: • it facilitates in building a complex mental model of the interaction of various attributes e.g., intraday volume and intraday gain are not correlated when weekly high/low ratio is close to the weekly gain. This complex model can now be acquired because VRML provides a tightly integrated picture—much more integrated compared to other existing tools e.g., multiple screens/windows with 2D and non-interactive 3D charts. This results in three benefits. First, opportunities and threats can be identified in a timely manner -timing is critical to stock trading. Second, the complex mental models can be used to fine-" @default.
• W784289689 created "2016-06-24" @default.
• W784289689 creator A5054624422 @default.
• W784289689 date "1998-01-01" @default.
• W784289689 modified "2023-09-25" @default.
• W784289689 title "Virtual Reality for Abstract Data Applications" @default.
• W784289689 cites W1999865941 @default.
• W784289689 cites W2000278030 @default.
• W784289689 cites W2074224570 @default.
• W784289689 cites W2138199375 @default.
• W784289689 cites W2523737028 @default.
• W784289689 hasPublicationYear "1998" @default.
• W784289689 type Work @default.
• W784289689 sameAs 784289689 @default.
• W784289689 citedByCount "0" @default.
• W784289689 crossrefType "journal-article" @default.
• W784289689 hasAuthorship W784289689A5054624422 @default.
• W784289689 hasConcept C107457646 @default.
• W784289689 hasConcept C110875604 @default.
• W784289689 hasConcept C127413603 @default.
• W784289689 hasConcept C136764020 @default.
• W784289689 hasConcept C154945302 @default.
• W784289689 hasConcept C194969405 @default.
• W784289689 hasConcept C204036174 @default.
• W784289689 hasConcept C36464697 @default.
• W784289689 hasConcept C41008148 @default.
• W784289689 hasConcept C75625381 @default.
• W784289689 hasConcept C78519656 @default.
• W784289689 hasConceptScore W784289689C107457646 @default.
• W784289689 hasConceptScore W784289689C110875604 @default.
• W784289689 hasConceptScore W784289689C127413603 @default.
• W784289689 hasConceptScore W784289689C136764020 @default.
• W784289689 hasConceptScore W784289689C154945302 @default.
• W784289689 hasConceptScore W784289689C194969405 @default.
• W784289689 hasConceptScore W784289689C204036174 @default.
• W784289689 hasConceptScore W784289689C36464697 @default.
• W784289689 hasConceptScore W784289689C41008148 @default.
• W784289689 hasConceptScore W784289689C75625381 @default.
• W784289689 hasConceptScore W784289689C78519656 @default.
• W784289689 hasLocation W7842896891 @default.
• W784289689 hasOpenAccess W784289689 @default.
• W784289689 hasPrimaryLocation W7842896891 @default.
• W784289689 hasRelatedWork W1480947174 @default.
• W784289689 hasRelatedWork W1542569948 @default.
• W784289689 hasRelatedWork W197401754 @default.
• W784289689 hasRelatedWork W1992296946 @default.
• W784289689 hasRelatedWork W2075267660 @default.
• W784289689 hasRelatedWork W2353064740 @default.
• W784289689 hasRelatedWork W2354100383 @default.
• W784289689 hasRelatedWork W2595933927 @default.
• W784289689 hasRelatedWork W2924847636 @default.
• W784289689 hasRelatedWork W2962902053 @default.
• W784289689 hasRelatedWork W3120633049 @default.
• W784289689 hasRelatedWork W3165896645 @default.
• W784289689 hasRelatedWork W3198493423 @default.
• W784289689 hasRelatedWork W806634048 @default.
• W784289689 hasRelatedWork W1558848928 @default.
• W784289689 hasRelatedWork W2575058002 @default.
• W784289689 hasRelatedWork W2837414831 @default.
• W784289689 hasRelatedWork W2856499017 @default.
• W784289689 hasRelatedWork W2876293191 @default.
• W784289689 hasRelatedWork W2966202556 @default.
• W784289689 isParatext "false" @default.
• W784289689 isRetracted "false" @default.
• W784289689 magId "784289689" @default.
• W784289689 workType "article" @default.