Browsing by Author "Kandel, Ramu"
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Item Difficulties of Darai Students in Learning Mathematics(Department of Mathematics Education, 2017) Kandel, RamuThe main objective of this study are to identify causes of difficulties and strategies to address the causes of difficulties of Darai students in learning mathematics at Secondary Level. This research is qualitative in design with case study approach. The study site is three schools situated in Darai community of Vy as municipality-5, Tanahun, Nepal. There were altogether 18 participants in my study, which was taken by purposive sampling. Classroom observation form and interview guidelines to students, subject teacher and parents were used to collect data. Besides these, unstructured interview of selected students, teachers and parents had also taken to analyze difficulties. On the basis of reviewed literatures and different concepts of theories used to analyze the collected information of the data of study. Then it was found that home and school environment are not similar for the mathematics learning of Darai students, Darai have their own traditional values, language, they are culturally dominant, parents involve their children in lobour, Darai students have low physical facilities and materials, most of the parents are uneducated, lack of proper interaction between teacher and students, parents careless of their children education, lack of group discussion and lack of inter-relationship between other caste students are the causes of difficulties of Darai students in learning mathematics. Ways to address the causes of difficulties of Darai students in learning mathematics, their parents should be regular visit in the school, there should be maintain home environment and school environment same, involvement more them in classroom activities, do not biased Darai people as well as their children in the school, emphasis in learning of Darai students, provide scholarship and equipments to the Darai students.Item Machine Learning in Robotics, with it’s demonstration in Inventory transportation(I.O.E, 2024-04) Khatiwada, Bidhek; Basnet, Nabin; Kandel, Ramu; Belbase, Saroj; Poudel, LaxmanThe advancement of Industry 4.0 has led to the design of various control methods for the autonomous navigation of robots. While many works rely on Simultaneous Localization and Mapping (SLAM) or path planning systems for trajectory tracking, there are limitations when real-time obstacle avoidance and parameter reconfiguration are required. However, with the recent advancements in machine learning algorithms, new possibilities have emerged across various fields, including autonomous navigation systems. This has led to significant developments in the field, paving the way for innovative approaches and solutions. Our project thus, aims bring that development up and diversify it, by joining autonomous navigation system with other tasks. For this final year college project, we have decided to bring autonomous navigation system with material handling system. We have decided to make a forklift and have a demonstration of it working is a miniaturize factory warehouse. For the environment we have choose a place with boundaries and have workload. These workloads are to be carried to a designated place as marked by the computer program. For this project we have decide to use a camera only. Here in our project we have designed our own ML model along with other subsidiary model and will train them as well to complete our stated task.