Browsing by Author "Shukla, P."

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    Developing a Standard Template for Activity Linkage and Resource Estimation of MEP Works
    (Springer Science and Business Media Deutschland GmbH, 2021) Shekhar, S.; Shukla, P.; Das, B.B.
    Project planning is the most essential part of project management. It plays a vital role in effective completion of a project. A well-developed project plan and schedule are very helpful in managing project costs more efficiently and can preclude time overruns. Mechanical, Electrical and Plumbing (MEP) works being one of the key parts of construction project also require detailed and specific attention in terms of planning. Planning of these works in terms of activity linkage and resource identification is not properly emphasized leading to loop holes in their execution which further is responsible for cost and time overruns. The current study helps in understanding various activities involved in MEP works, how they are related to each other, what are the civil constraints that affect these activities, how their concurrent occurrence can lead to development of complexity which forces one to properly identify and estimate the resources required for their smooth execution. Productivity Rate Method is one of the estimating tools that is used and compared to the actual resource requirement. A template is developed, conceptually based on the activity linkage, which can be directly implemented in a project with similar services. In addition, this template contains the resources required for execution of enlisted activities. Hence, it can be used as a technical tool for efficient planning of MEP works, which further leads to successful accomplishment of project’s goals and objectives. © 2021, Springer Nature Singapore Pte Ltd.
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    Simulation of Indoor Localization and Navigation of Turtlebot 3 using Real Time Object Detection
    (Institute of Electrical and Electronics Engineers Inc., 2021) Nandkumar, C.; Shukla, P.; Varma, V.
    This paper proposes a method for indoor localization and navigation of Turtlebot 3 using Real Time Object Detection (RTOD). The robot is capable of recognizing the room it is placed inside based on the knowledge of positions of certain fixed arbitrary objects. The robot then proceeds to understand its position inside the room and is capable of moving to other locations. The robot is simulated using the ROS and Gazebo framework. The RTOD is trained to identify certain distinct objects like a rover, bowl, quadcopter and wheel based on which the robot is able to ascertain its location. © 2021 IEEE.