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OpenCourseWare is an innovative and bold idea. It aims to support learning and teaching programme significantly. Learning material contained in an OCW provides learners an opportunity to gain knowledge beyond their routine classroom environments. These are in the digital form which can be accessed online, thus breaking the barriers of time and distance. Indian academics can play a significant role in creating OCW materials for the students to propagate the teaching and learning process diluting the limitations of traditional educational setup and begin a new culture of “Learning Beyond Classroom”. The present study aims to sensitize the teachers and learners about the potentials of the OCWs. It presents a proposal for creating an “Indian OCW Consortium” at different levels. Also discusses the challenges and issues in establishing such an OCW project.

Around the world, many different languages are spoken, each with a unique writing style. A challenging problem requiring substantial research and cutting-edge computer technologies in image processing is identifying the author of a handwritten text document. In past years, different dataset for character recognition, word recognition, and recognition of writer were reported in the literature. Keeping this in mind, the study introduces the researcher's contributions to writer identification strategies on diverse datasets and techniques. This study's primary goal is to discuss writer identification systems' work on various Indian and non-Indian languages based on various machine and deep learning techniques. The paper also discusses many stages of the identification process to assist researchers in the field of identification by giving analyses of various preprocessing approaches, feature extraction methods, and classification strategies on both Indic and non-Indic scripts. [ABSTRACT FROM AUTHOR]

In this modern era the automation and artificial intelligence plays an important role. Automation not onlyincreases the quality and the productivity but it also improves the efficiency and safety of the labor or workers. By using automation we can reduce the production time. On the other hand artificial intelligence enables us to do the multitasking. By using it we can take our decision faster and smarter. In this paper we had combined the artificial intelligence with automation, in which the robotic ARM will firstly detect the cylinder by using camera. Then the gripper will moves towards the cylinder, then open its hands and pick up the cylinder and place it at required destination. We used a general purpose robot simulator in an integrated develop environment. After simulation we successfully implement it on a robotic ARM with the help of Arduino board using 18 channel servomotors. This robotic arm will firstly detect the vegetable and move towards it. While picking and placing the vegetable it had been take care that the shape of the vegetable was not deformed, so that vegetable can used in cooking vegetable. This process can also play a major role in delivering the fruits in a hospital room and living room to a person who is infected by a coronavirus disease. [ABSTRACT FROM AUTHOR]