Distributed irrigation systems are those in which the water access (via pump or human power), distribution (via furrow, watering can, sprinkler, drip lines, etc.), and use all occur at or near the same location. Distributed systems are typically privately owned and managed by individuals or groups, in contrast to centralized irrigation systems, which tend to be publicly operated and involve lar...

in recognition of the value and limitations of available water resources in agriculture and the occurrence of periodic drought in iran, water conservation and optimal usage of available water is essential. the main objective of this study was to optimize field water management and cropping patterns using deficit irrigation. the effect of reducing water consumption on different growth stages usi...

We approach the task of human silhouette extraction from color and thermal image sequences using automatic image registration. Image registration between color and thermal images is a challenging problem due to the difficulties associated with finding correspondence. However, the moving people in a static scene provide cues to address this problem. In this paper, we propose a hierarchical schem...

plants are rich source of phenolic compounds (phenolic acids, flavonoids and tannins) that are most important natural antioxidants. in the present study two ultrasonic methods including probe and bath were used for the extraction of phenolic and flavonoid compounds from celtis australis. the effects of different extraction time including 30, 60 and 90 min (bath method) and 5, 10 and 20 min (pro...

Erie is a name recognition system developed for the Multilingual Entity Task (MET) in MUC-6. The pattern matching engine recognizes organization, person, and place names along with time and numeric expressions in Japanese text. Although our previous information extraction system Textract performed well in MUC-5, the pattern matching engine, which was written in AWK language, was slow[2]. System...

We present an information extraction system that decouples the tasks of finding relevant regions of text and applying extraction patterns. We create a self-trained relevant sentence classifier to identify relevant regions, and use a semantic affinity measure to automatically learn domain-relevant extraction patterns. We then distinguish primary patterns from secondary patterns and apply the pat...

This paper presents a new soft pattern matching method which aims to improve the recall with minimized precision loss in information extraction tasks. Our approach is based on a local tree alignment algorithm, and an effective strategy for controlling flexibility of the pattern matching will be presented. The experimental results show that the method can significantly improve the information ex...

recently, extracts from various parts of a. occidentale had been massively investigated in themanagement and treatment of various ailments which include but not limited to diabetes, malaria,yellow fever as well as diarrhea. stem bark of anacardium occidentale was extracted with water andethanol. antioxidant activities of the extracts were using dpph. for estimation of effectivediffusivity, math...