Practical Design of Flight Control Systems: Some Problems and their Solutions

The flight control system design, though quite satisfactory on paper, many times gives surprises during the actual flight. This is due to unanticipated behaviour of the vehicle structureor the aerodynamic characteristics, or the higher-order dynamics and nonlinearities, etc. The paper describes few such cases in which problems were faced and their solutions found, andwhich gave satisfactory performance subsequentl

Discriminant face features extraction, analysis & its application in multipose face recognization: a survey

As one of the excellent learning and classification performance, SVM and ISVM has become a research topic in the field of machine learning and has been applied in many areas, such as face detection and recognition, handwriting automatic identification and automatic text categorization. Face recognition is a challenging computer vision problem. Given a face database, goal of face recognition is to compare the input image class with all the classes and then declare a decision that identifies to whom the input image class belongs to or if it doesn’t belong to the database at all. In this survey, we study face recognition as a pattern classification problem.In this paper, we study the concept of SVM and sophisticated classification techniques for face recognition using the SVM and ISVM along with the advantages and disadvantages. This paper not only provides an up-to-date critical survey of machine learning techniques but also performance analysis of various SVM and ISVM techniques for face recognition are compared

Discriminant face features extraction, analysis & its application in multipose face recognization: a survey

As one of the excellent learning and classification performance, SVM and ISVM has become a research topic in the field of machine learning and has been applied in many areas, such as face detection and recognition, handwriting automatic identification and automatic text categorization. Face recognition is a challenging computer vision problem. Given a face database, goal of face recognition is to compare the input image class with all the classes and then declare a decision that identifies to whom the input image class belongs to or if it doesn’t belong to the database at all. In this survey, we study face recognition as a pattern classification problem.In this paper, we study the concept of SVM and sophisticated classification techniques for face recognition using the SVM and ISVM along with the advantages and disadvantages. This paper not only provides an up-to-date critical survey of machine learning techniques but also performance analysis of various SVM and ISVM techniques for face recognition are compared

Not Available

Not AvailableThis study was conducted in order to determine the qualitative and morphological performances of turf grasses. This study was carried out in Department of Horticulture, College of Agriculture, Pune (Maharashtra) to evaluate the performance of nine turf grasses during 2015-16.The experimental design was a Randomized Blocks Design with three replications. Results indicated for qualitative traits, Korean grass, American Blue grass exhibited green colour, All turf grasses under study exhibited fine leaf texture except Weeping love grass having medium coarse texture, Argentine grass Pensacola grass St. Augustine grass and Phosphelone grass having coarse texture. The highest grounds cover (100%) was observed in American blue grass and Bermuda grass at 60 DAT. The significantly maximum chlorophyll content 69.59 mg/100g was recorded by Bermuda grass when was significantly superior over rest of treatments. Performance for morphological traits indicated, the maximum shoot length was recorded in Phosphelone grass (80.82 cm), Argentine grass (6.95 mm) exhibited maximum stem thickness DAT. The maximum leaf length range between (45.07-50.43 cm) recorded in Weeping love grass and Taiwan grass recorded shortest leaf length (2.70 cm). Phosphelone grass recorded maximum leaf width (13.48 mm). Weeping love grass showed maximum root length (21.74 cm). After 120 days of transplanting maximum root shoot ratio (1.11) was recorded in Argentine grass. The maximum fresh weight of shoot and dry weight of roots was recorded in Weeping love grass whereas, the maximum fresh weight of roots was recorded in Argentine grass.Not Availabl