17 research outputs found
Fast 3D reconstruction with single shot technology : engineering and computing challenges
No full textFast 3D reconstruction with single shot technology: the GMPR 3D scanning technologies provide fast wide area scanning from an instantaneous shot. A surface can be reconstructed in 40 milliseconds from a pattern of stripes projected on the target object. It operates on a single image or on a video sequence both in the near-infrared (NIR) and visible spectra. In this talk we are going to describe the engineering and computing principles behind the technologies, highlight the main achievements of our research to date and discuss a number of remaining challenge
A parallel version of the in-close algorithm
Get PDFThis research paper presents a new parallel algorithm for computing the formal concepts in a formal context. The proposed shared memory parallel algorithm Parallel-Task-In-Close3 parallelizes Andrews's In-Close3 serial algorithm. The paper presents the key parallelization strategy used and presents experimental results of the parallelization using the OpenMP framewor
ARTIFICIAL NEURAL NETWORK BASED INTELLIGENT TEA TASTER-REVIEW
No full text. Tea is the most favorable beverage in the world after the pure water. Professional tea tasters categorize thequality of the tea in subjective manner by assessing the several parameters. The flavor, aroma and color of tea are themost important and considered parameters when professional tea tasters categorize and evaluate tea. The value of abovementioned parameters depends on the chemical composition of the tea. Basically, flavanols are major compounds whichaffect the quality of the tea. Therefore, it is possible to identify a correlation between flavanols composition of tea andprofessional tea taster’s valuation. The main purpose of this article is identifying above correlation and according to thatcorrelation design and implements “Artificial Neural Network (ANN) based Intelligent Tea Taster” to automate manualtea tasting process. This review is focused on training an artificial neural network according to identified correlationbetween flavanols composition and tea taster’s valuation and based on that trained artificial neural network After goingthrough successful training iterations and evaluations, a computer-based solution can be designed and implemented todefine the quality of tea according to its flavanols compound. The results show good correlation of estimated values oftheaflavins and thearubigins with the actual concentrations obtained by the system when we tested at laboratory. Thereview is based on ANN base Intelligent Tea Taster will automate the tea tasting process while improving efficiency,effectiveness and accuracy of the tea tasting process
ARTIFICIAL NEURAL NETWORK BASED INTELLIGENT TEA TASTER-REVIEW
No full text. Tea is the most favorable beverage in the world after the pure water. Professional tea tasters categorize the
quality of the tea in subjective manner by assessing the several parameters. The flavor, aroma and color of tea are the
most important and considered parameters when professional tea tasters categorize and evaluate tea. The value of abovementioned parameters depends on the chemical composition of the tea. Basically, flavanols are major compounds which
affect the quality of the tea. Therefore, it is possible to identify a correlation between flavanols composition of tea and
professional tea taster’s valuation. The main purpose of this article is identifying above correlation and according to that
correlation design and implements “Artificial Neural Network (ANN) based Intelligent Tea Taster” to automate manual
tea tasting process. This review is focused on training an artificial neural network according to identified correlation
between flavanols composition and tea taster’s valuation and based on that trained artificial neural network After going
through successful training iterations and evaluations, a computer-based solution can be designed and implemented to
define the quality of tea according to its flavanols compound. The results show good correlation of estimated values of
theaflavins and thearubigins with the actual concentrations obtained by the system when we tested at laboratory. The
review is based on ANN base Intelligent Tea Taster will automate the tea tasting process while improving efficiency,
effectiveness and accuracy of the tea tasting process
Possibilities for the use of mobile phones and more-than-voice services to improve the economic status of women-headed households at the BOP
Get PDFThe paper looks at women’s use of mobile phones and more-than-voice services, and how this can be leveraged to improve the economic status of female-headed households in the emerging Asian base of pyramid (BOP) economies. Women’s success at microfinance could be leveraged via appropriate mobile phone services to improve their economic situation. Initial results suggest that female-headed households are in fact economically worse-off, and that their phone use pattern for economic related services is less conducive for success than male-headed households. Male household heads use their mobiles to build wider and or stronger networks than their women counterparts
Mobile office and its implications for ERP systems : a review of literature
No full textThe surprisinggrowth of mobile technology has seen many benefits. During the recent decades businesses also try to benefit from this; one of them is mobile office / enterprise. When organizations become mobile-enabled, their ERP systems also face some implications which have to be carefully dealt with. The implementation of mobile-office forces organizations to reengineer some or all of its business processes, etc. If all opportunities offered by technologyare carefully acquired, organizations should be prospering for sur
