Technical feasibility

SECTION I: Testing

1 Has the R & D result been tested?
YES  
     
1a In what mode has the result been tested?

•              Prototype

•              Pilot Application

•              Alpha/BETA testing

The product has been tested in alpha and beta levels and has been used by final users.
1b. Please describe and discuss the testing results
The testing results have been shown functionality problems between cross references in maps, especially when zoom is applied to the maps. It has also indicated malfunction in the touring operations when complex searching criteria where applied. All problems were resolved in the final version.
     

 

SECTION 2: Current Stage of Development

 

2a To what extent does the development team have technical resources for supporting the production of a new product? (Researchers, human resources, hardware, etc. )
The creation of a portal that will use all collected material (photos, descriptions and tourism facts) to be utilized when building commercial sites for South Aegean Islands. The copyright of material will be transferred for use in sites only without any reselling rights.

 

2b What are the technical issues that need to be tackled for full deployment, if needed?
The South Aegean tourism portal needs to expanded, so it will be given the capability to share tourism templates to other tourism site owners. The technical issue required is the implementation of paid share resource utility.

 

2c What additional technical resources are needed for the production of this new product?
The new product must include share resource utility, procedures, payments methods, A business analyst and a web programmer is required for the new product.

 

2d Overall assessment of the current stage of technical development.
Since the main platform is already implemented and all the resources are stored into a database the additional function that will share and sell resources is feasible technically although the attention must be placed into the service level design for secure payment and client security.

 

 

 

SECTION 3: Deployment

3a Define the demands for large scale production in terms of
  • Materials
No mass production is planned.
  • technologies, tools, machineries
 
  • Staff effort
 

 

 

 

SECTION 4: Overall Assessment

 

1 What is you overall assessment of the technical feasibility of the research result?
The technical feasibility is documented from the functional versions of the platform. The required modifications are considered mostly of business modeling complexity than technical complexity.

 

KEYWORDS QUANTITATIVE ASSESSMENT (0-5).

 

Please put X as appropriate. 1 2 3 4 5
Adequacy of testing activity undertaken so far         x
Adequacy and availability of technical resources of the development team         x
Current development stage         x
Overall technical feasibility         x

Bookmark the permalink. Follow any comments here with the RSS feed for this post. Post a comment or leave a trackback: Trackback URL.

Post a Comment

You must be logged in to post a comment.

Request a proposal

Valorisation Plan Authors

Related Documents

CapturEmos – Capturing emotional patterns in microblogging data streams

Current work has carried out a particular sentiment analysis technique to capture the social pulse and the emerging trends, over microblogging data streams (produced by the twitter application). The purpose of this work is to get the twitter activity and understand people’s emotions, in relevance to specified thematic topics. The emotions studied overcome the typical positive-negative declaration to a wider emotional spectrum of six major emotions (recognized in the bibliography). For each emotion a scaling analysis is carried out towards a more fine-grained monitoring of emotions’ intensity.

Microblogging data streams analysis is a challenging field since it embeds difficulties in both the content published and the usage around it. Microblogging data are characterized by non-formal language writing, freestyle opinion expressing, and unpredictable and often unexpected post bursting. The state of the art is underpinned by mining techniques towards tweet topics and users recommendations and tweet hot topics detection. However, so far efforts suffer from several limitations—such as noise in tweets, lack of uniformity, and spam—thus not presenting an adequate solution to the problem of emotional patterns capturing. Therefore, automated emotion-wise mining methods are of particular importance to improve the wisdom of the crowds capturing. Because it’s common for users to post their opinions along with their feelings or attitude about them—we can view emotion classes and scales as natural units in such processed. It’s for this reason that automating the process of detecting and capturing emotions in tweet data sets can enhance understanding of trends and opinions evolution in such microblogging services.

Some of the potential applications that can be developed by CapturEmos are the following:

  • Potential authorities of a place, although free web services are recommended to reach critical mass of users, mobile application could be sold as a barometer of people’s opinions on various investors.
  • Companies interested in promoting their presence and products on the web and mobile application industry using sponsored web and a mobile application business models.
  • Web services companies interested in integrated the results in their applications through API licensing or buyout options.
  • Social services interested in assessing social media trends and human psychology in relation to technology emergence.

View all related documents

Visit the other applications of the INTERVALUE Platform: R&D Repository | IP Agreements

© 2009-2010 INTERVALUE Project