This paper describes a topic tracking system and its ability to cope with sparse training data for broadcast news tracking. The baseline tracker which relies on a unigram topic model. In order to compensate for the very small amount of training data for each topic, document expansion is used in estimating the initial topic model, and unsupervised model adaptation is carried out after processing...

Sadegh Hedayat is one of the most renowned contemporary writers whose various works are discussed by many literary critics. His short story "The Case of Chrystal (rock) Salt" is a humorous and satirical story is collected in Tittle-tattle alongside with five more short stories. The narrator of the story explains the history of human civilization and evolution based on his own perspective. “The ...

minimalist story is a kind of very short story that is summarized sometimes in some lines and sometimes in one page. it tells a short event and in addition includes deep contents.studying verses of holy quran we can see stories in different forms and lengths. meanwhile there are some storiesthat are not more than some lines in lengthso it is possible for the researcher to evaluate these stories...

Content-based video retrieval requires an effective scene segmentation technique to divide a long video file into meaningful high-level aggregates of shots called scenes. Each scene is part of a story. Browsing these scenes unfolds the entire story of a film. In this paper, we first investigate recent scene segmentation techniques that belong to the visual-audio alignment approach. This approac...

In this paper we compare the performance of three distinct approaches to lexical cohesion based text segmentation. Most work in this area has focused on the discovery of textual units that discuss subtopic structure within documents. In contrast our segmentation task requires the discovery of topical units of text i.e. distinct news stories from broadcast news programmes. Our approach to news s...

Environmental scanning, the acquisition and use of the information about events, trends, and relationships in an organization’s external environment, permits an organization to adapt to its environment and to develop effective responses to secure or improve the organization’s position in the future. Event detection technique that identifies the onset of new events from streams of news stories w...

In this paper, the authors propose an effective content-based clustering method for keyframes of news video stories using the Near Duplicate Keyframe (NDK) identification concept. Initially, the authors investigate the near-duplicate relationship, as a content-based visual similarity across keyframes, through the Near-Duplicate Keyframe (NDK) identification algorithm presented. The authors assi...

the holy quran exerted great influence on hafiz sonnets. sometimes this influence has been symbolic and open to different poetic and figurative interpretations. hafiz has adopted quranic words and expressed them in beautiful ways with strong effect. it seems there is a high amount of correspondence between hafiz’s sonnet 216 and the story of solomon in the quran (surah naml) in wording, notio...

In this study, constant-ductility optimization algorithm under a family of earthquake ground motions is utilized to achieve uniform damage distribution over the height of steel moment resisting frames (SMRFs). SMRF structures with stiffness-degrading hysteric behavior are modeled as single-bay generic frame in which the plastic hinge is confined only at the beam ends and the bottom of the first...

The main aim of this study, is to evaluate the seismic reliability of steel concentrically braced frame (SCBF) structures optimally designed in the context of performance-based design. The Monte Carlo simulation (MCS) method and neural network (NN) techniques were utilized to conduct the reliability analysis of the optimally designed SCBFs. Multi-layer perceptron (MLP) trained by back propagati...