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Research ArticleOpen accessIn the abstractA Near Real-time Early Warning System on Erosion HazardsFaisal H. Ali, Tew K. HuiWith many incidences of landslides, mudslides and erosion occurrences lately, especially in the highlands in Malaysia, properties were damaged and lives were lost. Seeing the need of resolving and minimizing such untoward incidences, a study has been embarked on developing a near real-time early warning system on erosion hazards so as to provide an early warning to the public, whenever … …American Journal of Environmental Sciences, Vol. 2, Issue 4 · 31 Dec 2006 · 6,706 accessesView PDFCite
Research ArticleOpen accessIn the abstractFace Recognition using Eigenfaces and Neural NetworksMohamed Rizon, Muhammad Firdaus Hashim, Puteh Saad et al.In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is then projecting onto human faces to identify unique features vectors. This significant features vector can be used to identify an unknown face by … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Jun 2006 · 6,940 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Geo-Information Technology in the Study of Soil and Nutrients Loss by Water Erosion for three Different Land CoverMushtak T. Jabbar, C. A.I. Chong-Fa, Wang Tian-Wei, Shi Zhi-HuaThis research integrated the Revised Universal Soil Loss Equation (RUSLE) and the soil statistical analysis with RS and GIS techniques to quantify soil and nutrient loss risk. The Letianxi watershed, located in the southwest part of Hubei Province of China was taken as a case. A system was established for rating soil erodibility, slope length/gradient, rainfall erosivity and conservation practices. … …American Journal of Applied Sciences, Vol. 2, Issue 6 · 30 Jun 2005 · 6,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoil Degradation Risk Prediction Integrating RUSLE with Geo-information Techniques, the Case of Northern Shaanxi Province in ChinaMushtak T. Jabbar, Xiaoling ChenThis research integrated the Revised Universal Soil Loss Equation (RUSLE) with RS, GIS and GPS techniques to quantify soil erosion risk and the northern part of Shaanxi province in China was taken as a case. A system was established for rating soil erodibility, slope length/gradient, rainfall erosivity and conservation practices. The rating values served as inputs into a modified Revised … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 7,050 accessesView PDFCite