Feature detection in an indoor environment using Hardware Accelerators for time-efficient Monocular SLAM

In the field of Robotics, Monocular Simultaneous Localization and Mapping (Monocular SLAM) has gained immense popularity, as it replaces large and costly sensors such as laser range finders with a single cheap camera. Additionally, the well-developed area of Computer Vision provides robust image processing algorithms which aid in developing feature detection technique for the implementation of Monocular SLAM. Similarly, in the field of digital electronics and embedded systems, hardware acceleration using FPGAs, has become quite popular. Hardware acceleration is based upon the idea of offloading certain iterative algorithms from the processor and implementing them on a dedicated piece of hardware such as an ASIC or FPGA, to speed up performance in terms of timing and to possibly reduce the net power consumption of the system. Good strides have been taken in developing massively pipelined and resource efficient hardware implementations of several image processing algorithms on FPGAs, which achieve fairly decent speed-up of the processing time. In this thesis, we have developed a very simple algorithm for feature detection in an indoor environment by means of a single camera, based on Canny Edge Detection and Hough Transform algorithms using OpenCV library, and proposed its integration with existing feature initialization technique for a complete Monocular SLAM implementation. Following this, we have developed hardware accelerators for Canny Edge Detection & Hough Transform and we have compared the timing performance of implementation in hardware (using FPGAs) with an implementation in software (using C++ and OpenCV)

AWARENESS AND KNOWLEDGE ABOUT DENTAL BIOMEDICAL WASTE MANAGEMENT AMONG HEALTH CARE WORKERS OF GUJARAT, INDIA

Objective: The aim of this study was to assess the knowledge, attitudes, and practices related to medical waste management (MWM) among healthcare workers in clinics. Methods: The introduced study was an enlightening cross-sectional study. A self-directed poll was intended to record age, sex, kind of training, long stretches of training, extra preparation, information and practices on risky dental waste and information, and practice of security measures against cross-disease. The review populace included dental specialists and other medical services laborers of our emergency clinic. No data were accessible about the information on dental specialists with respect to the board of dangerous waste. From each state on India, Health-care laborers were chosen haphazardly from the rundown. A self-controlled poll was asked to the 200 medical care laborers. Overall response rate was 63% (n=200). Identity of the respondents was kept confidential. Results: A total of 200 questionnaires were distributed. Returns were 150 questionnaires with 55% males and 45% females. Only 42% of respondents were aware of the existence of guidelines of waste management. From this study, it was found that majority of study populations were not aware about the management of biomedical waste. Conclusion: Our study showed that although the attitude toward biomedical waste management was highly positive among students and they understood the importance of managing hazardous waste, the knowledge and practice still have scope for improvement. Regular monitoring and training are required at all levels for the management of hazardous dental wastes. Waste management program should be a part of academic curriculum and continuing dental education

sj-docx-1-fac-10.1177_27325016231212564 – Supplemental material for A Scoping Review of Adjuvant Perioperative Therapies for Primary Cleft Lip Repair

Supplemental material, sj-docx-1-fac-10.1177_27325016231212564 for A Scoping Review of Adjuvant Perioperative Therapies for Primary Cleft Lip Repair by Melinda Lem, Jason T Pham, Jagmeet Arora, Shivang Trivedi, Omotayo Arowojolu, Ruben Castro, Joseph Mocharnuk, Raj Vyas and Miles J. Pfaff in FACE</p