Topic Detection and Tracking in Personal Search History

This thesis describes a system for tracking and detecting topics in personal search history. In particular, we developed a time tracking tool that helps users in analyzing their time and discovering their activity patterns. The system allows a user to specify interesting topics to monitor with a keyword description. The system would then keep track of the log and the time spent on each document and produce a time graph to show how much time has been spent on each topic to be monitored. The system can also detect new topics and potentially recommend relevant information about them to the user. This work has been integrated with the UCAIR Toolbar, a client side agent. Considering limited resources on the client side, we designed an e????cient incremental algorithm for topic tracking and detection. Various unsupervised learning approaches have been considered to improve the accuracy in categorizing the user log into appropriate categories. Experiments show that our tool is effective in categorizing the documents into existing categories and detecting the new useful catgeories. Moreover, the quality of categorization improves over time as more and more log is available

Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation

In interactive machine translation (MT), human translators correct errors in auto- matic translations in collaboration with the MT systems, which is seen as an effective way to improve the productivity gain in translation. In this study, we model source- language syntactic constituency parse and target-language syntactic descriptions in the form of supertags as conditional con- text for interactive prediction in neural MT (NMT). We found that the supertags significantly improve productivity gain in translation in interactive-predictive NMT (INMT), while syntactic parsing somewhat found to be effective in reducing human efforts in translation. Furthermore, when we model this source- and target-language syntactic information together as the con- ditional context, both types complement each other and our fully syntax-informed INMT model shows statistically significant reduction in human efforts for a French– to–English translation task in a reference- simulated setting, achieving 4.30 points absolute (corresponding to 9.18% relative) improvement in terms of word prediction accuracy (WPA) and 4.84 points absolute (corresponding to 9.01% relative) reduc- tion in terms of word stroke ratio (WSR) over the baseline

In Vitro Antioxidant and Anti-rhizopus Activity of Methanolic Seed Extract of Camelina Sativa L.

The antifungal efficacy of seed extracts (propanol, ethanol, methanol and sterile deionised water) of Camelina sativa cv. Calena (EC643910) against Rhizopus stolonifer was investigated by agar disc diffusion method. Among all extracts, methanolic seed extract (Disc 3) showed significant activity against R. stolonifer. However, no activity was observed against rest of the extracts (Disc 1, 2 and 4). The inhibition zones were ~35 mm for methanolic extract and ~41 mm for standard drug, respectively. The total phenol content was observed 13.5 μmol, 23.3 μmol, 42.9 μmol and 3.4 μmol gDW-1 in propanolic, ethanolic, methanolic and sterile deionised water extracts of Camelina, respectively. Likewise, the ascorbate peroxidase (APX) activity was observed highest in methanolic extract that was ~10.2, ~2.4 and ~5.7-folds higher as compared to propanolic, ethanolic and sterile deionised water extracts, respectively. Similarly, guaiacol peroxidase (GPX) activity was also observed highest in methanolic extract as compared to other extracts, which is ~7.3, ~1.9 and ~6.6-folds higher as compared to propanolic, ethanolic and sterile deionised water extracts, respectively. The findings of the study clearly speculate that the possibility of using methanolic seed extract of Camelina as a potential control measure against R. stolonifer, which may be used for the development of future herbal drug formulations

Results with Random Fuzzy Metric Spaces

In this paper we obtain some fixed point results in random fuzzy metric space of two mappings. Keywords: Fixed point, Random  Fuzzy metric space. Mathematical Subject Classification: 45H10, 54H25

Random Fuzzy metric space with cyclic contraction

In the paper, we define a random fuzzy cyclic contraction and prove the existence and uniqueness of fixed points in a random fuzzy metric space

Heat Transfer and Pressure Drop Investigation in a Circular Tube by the use of Various Kinds of Inserts

160–163The ability of a traditional heat exchanger in transferring heat requires improvement for conveying a considerable proportion of energy at cheaper rate and amount. For augmenting the heat transfer coefficient, different means have been employed. However, the use of inserts has become an assured method in enhancing heat transfer through endurable escalation of frictional losses. The grinding factor improvement proportions are observed to be in the scope of 2.68-3.43, 3.14-4.14, 4.30-5.34, 5.22-6.18 and 6.53-6.96 for the previously mentioned configurations of additions.The objective of the investigation is the examination of a circular tube fitted with multiple inserts with regard to its characteristics related to fluid flow & heat transfer; these inserts are organized in co-swirl and counter-swirl directions