Abstract : This study throws light on the suitability of waste materials like Marble Dust, Marble Chips and Tyre Scraps as soil stabilizer for use in pavement. The role of marble dust, marble chips, and tyre scraps in improving the characteristics of expansive subgrade material is analyzed. The amount of cost savings for a pavement when it is stabilized separately with marble dust, marble chips and tyre scraps is also studied. Initially, the physical properties of clay and marble dust have been studied by conducting wet sieve analysis, Liquid Limit and Plastic Limit tests. Then, for the purpose of determining the strength of virgin and stabilized materials, California Bearing Ratio (CBR) tests have been conducted. The results of the experimental research show that marble dust, marble chips and tyre scraps can effectively be used as soil stabilizer for subgrade as the CBR value is increased. A considerable amount of cost savings is also possible when the expansive clay soil is stabilized with marble dust, marble chips and tyre scraps. Keywords : Pavement, Stabilizer, subgrade, expansive
Abstract : Computing is one of the emerging and rapidly changing fields. The field is responsible for the development of diverse areas. Initially within Computing, Computer Science was core and main subject and gradually many other subjects have been originated viz. Computer Engineering, Computing, Computer Applications, Information Technology, Information Systems, Informatics, Information Management etc. Though there is a difference in between Computing related fields and Information related fields. Computer Science is theoretical in nature and mainly deals with the mathematical affairs for the study, evaluation, design and development of computer systems. Though Computer Engineering is mainly focuses on design and development and partially software systems. As far as Computer Application is concerned it is purely concentrated on software technologies. Information Technology whereas concentrated on the information related affairs and allied technologies viz. Networking Technologies, Database Technologies, Communication Technology, Multimedia Technology, Web Technology etc. In India, common academic programs of Computing and IT mainly concentrated on the nomenclature Computer Science, Computer Application, and Information Technology. Among the emerging subjects, few important are Big Data Technologies, Cloud Computing etc and these are rising as an academic program as well in different universities internationally. Though the areas of Information Technology in Indian academics have several disparities compared to international universities. However, in recent past Indian academics, mainly private bodies are moving towards some of the applied areas of IT within the department, programs of Computing. This paper deals with the basics of computing and IT related subjects especially the trend of applied computing emphasizing cloud computing in Indian private universities. Keywords : Computing, Indian Universities, Higher Education, India, Development, Cloud Computing, Emerging Degree, New Age Program, Private Universitie
Abstract : The world is changing and purely depends on Information rather computer. And for information affairs Computing and similar devices and technologies are very much important in current time. The domain initially started with Computer Science but these days the concept of applied science and interdisciplinary sciences lead various other domains and nomenclatures. The popular programs in the field available with BSc and MSc degree, while in India and few other countries the Computing and Information Sciences related programs also offered as Engineering Degree and thus BTech and MTech programs are also offered. In some countries and universities instead of BE (Bachelor of Engineering) and ME (Master of Engineering) nomenclature are also being offered. In India, the field is available with Science and Engineering in general, however here another discipline is popular with BCA and MCA tag for the candidates of diverse background. In India, Higher Educational Institutes have risen in recent past and among the universities, the categories of Private funded institutions have been increased enormously. The worldwide changes in the academic model, platform, curricula, and eligibility criteria also affect and change the Indian Education System with special reference to Private Universities. Initially, Science programs were open only for science background (except BCA and MCA) but recently non-science candidates are allowed to pursue science based courses. In case of MSc degree in the field of Computing and IT or simply Information Sciences the tradition of science backgrounds become changed; this paper in this respect explores a lot with reference to the initiatives of the private universities in India. Keywords : Information, IT, Computing, MSc, Masters Degree, Any Degree, Interdisciplinary, India, HEIs, Private Universities, Information Sciences in India.
Authors - Greshma KP, V Vineet , Rishav Gupta, and P. Mohamed Fathimal
Abstract : Human identification has become a flourishing area where different techniques are used for identification and verification, each of them having separate and exclusive claims and challenges. Gait analysis refers to the study of animal locomotive behaviour which includes body mechanics, and the activity of muscles. It has applications in various fields such as medical diagnostics and osteopathic utilizations. A unique application of gait analysis is biometrics and identification. This paper describes a representation of gait analysis by identifying people based on their gait patterns. The steps include background modeling, feature extraction, and processing on neural network. The background model is built by getting input from a high-resolution camera which detects the movement. This input in the form of raw RGB video frames which is then passed to a neural network which measures gait biomechanics. This helps in feature extraction of the biometric information such as pace, step angle, height from torso to feet and hand displacement. The created data set will be processed, followed by identifying humans by their unique gait pattern using SVM classifier and neural network. This network consists of two subnet works linked in cascade- Joint identification and tracking (for pose estimation) and Gait recognition and estimation (for gait recognition). Using machine learning in combination with traditional, computer-based gait analysis, one can perform biometric identification while learning the user’s locomotive style. Keywords : Gait analysis, Feature extraction, Neural Network..