For years, a new culinary trend called ‘molecular cooking’ has been touted as the most exciting development in haute cuisine. It is now the newest fashion for chefs to offer their customers fake caviar made from sodium alginate and calcium, burning sherbets, spaghetti made from vegetables, and instant ice cream, fast-frozen using liquid nitrogen. In the most recent ranking of the world’s top 50...

In the present study, we examined the insulin-like growth factor receptor 1(IGF-1R) transcription using real-time PCR at different stages of oocytes of Russian sturgeon (Acipenser gueldenstaedtii) at age 8-9 years and weight 25 kg that were grown under aquaculture conditions. Compare to the pre-vitellogenesis stage, the transcription of IGF-1R increased at the vitellogenesis stages (yellow, gra...

In the field of security automated surveillance systems are very useful. Surveillance system can be used to detect and track the moving objects. First phase of the system is to detect the moving objects in the video. Second phase of the system will track the detected object. In this paper, detection of the moving object has been done using simple background subtraction and tracking of single mo...

An object detector performs suboptimally when applied to image data taken from a viewpoint different from the one with which it was trained. In this paper, we present a viewpoint adaptation algorithm that allows a trained single-view person detector to be adapted to a new, distinct viewpoint. We first illustrate how a feature space transformation can be inferred from a known homography between ...

This paper proposes a robust semiparametric bootstrap method to estimate predictive distributions of GARCH-type models. The method is based on a robust estimation of parametric GARCH models and a robustified resampling scheme for GARCH residuals that controls bootstrap instability due to outlying observations. A Monte Carlo simulation shows that our robust method provides more accurate VaR fore...

Detecting moving objects is very important in many application contexts such as people detection, visual surveillance, automatic generation of video effects, and so on. The first and fundamental step of all motion detection algorithms is the background modeling. The goal of the methodology here proposed is to create a background model substantially independent from each hypothesis about the tra...

Recent developments in intelligence surveillance camera systems have enabled more research on the detection, tracking, and recognition of humans. Such systems typically use visible light cameras and images, in which shadows make it difficult to detect and recognize the exact human area. Near-infrared (NIR) light cameras and thermal cameras are used to mitigate this problem. However, such instru...

Detecting moving objects is very important in many application contexts such as people detection, visual surveillance, and so on. The first and fundamental step of all motion detection algorithms is the background modeling. The goal of the methodology here proposed is to create a background model substantially independent from each hypothesis about the training phase, as the presence of moving ...

It is estimated that in 2050, more than one fifth of the world’s population will be over 65 years old and these people will face serious risks in their future life. In this paper, a new method is proposed which models the motion aggregation pattern by receiving video strings containing the walks of the elderly and tracking their motion to identify the position of the joints involved in movement...

This paper proposes an unusual event recognition algorithm, which is a part of a mobile alarm system. Our systems focus on unusual event. When the system detects the unusual event, the photos of emergency situation are passed to the user’s portable devices such as mobile phone or PDA along with event description to help the user’s final decision. The system combines the foreground segmentation,...