Removal of a suture needle: a case report

Background Foreign bodies may be embedded or left behind in the oral cavity during oral surgical procedure. The loss of instruments such as impression material, surgical gauze, and broken injection needles are commonly reported in the dental field. These complications are generally symptomatic and show signs of inflammation, pain, and purulent discharge. Accidental breakage of suture needles is a rare but potentially dangerous event. Case presentation In this report, we present one case of lost suture needle during the procedure of flap operation at local dental clinic and its successful removal under local/general anesthesia administration via CBCT with a help of two reference needles to localize the 6-0 nylon needle and consulting with the clinician. Conclusion CT scanning taken while mouth-closing may not be accurate with regard to real location measurement performed while mouth-opening. If so, other up-to-date radiographic devices and methods to retrieve a needle are recommended.

A Study on Contact Tracing Apps for Covid-19: Privacy and Security Perspective

To support the manual contact tracing methods of Covid-19, countries and big companies like Apple and Google are busy developing several contact tracing applications. The purpose of digital contact tracing apps is to accelerate existing traditional face to face interview method which can control the pandemic effectively and rapidly. A major concern is whether consumers will be willing to download, install, and use the contact tracing applications because of the debate it created about its main attribute like security, privacy concern, system framework, data processing, location measurement. In this paper we discuss the contact tracing apps and its different architecture, then we analyze the framework in term of security, privacy concern and privacy policy. We reported 47 contact tracing applications which are from 28 countries worldwide, with several others expected to be roll out later. We found that 23 percent of contact tracing apps currently implemented do not provide privacy policy in their documentation. We believe that these comprehensive evaluation and specific suggestions will lead to creation and implementation of solutions towards Covid-19 and support governments and mobile development industries in creating safe and privacy conserving apps for contact tracing solutions.

Fault Location Measurement of Sensor Nodes based on Fuzzy Control Algorithm

Aiming at the problems of the traditional fault location measurement method for sensor nodes, such as more energy consumption and longer measurement time, a fault location measurement method for sensor nodes based on fuzzy control algorithm is designed and proposed. First of all, the fuzzy control algorithm is analyzed; then the clustering based on cluster head diagnosis is carried out for the network, that is, the nodes that meet the cluster head conditions and are set as normal cluster heads are selected as cluster heads. Finally, combined with the fuzzy control algorithm, the fault location of each cluster member node is measured directly by cluster head nodes. The simulation results show that the proposed method has good performance.

Location measurement of an object using radio networks for Industry 4.0 applications

Indoor positioning methods using radio networks are investigated. Time Difference of Arrival (TDOA) method is studied deeply, and the main problems are revealed. Application of ultra-wide band (UWB) radio technology to TDOA method is discussed, and limitations to UWB receiver and transmitter are revealed. These results are of great importance for the organization of unmanned moving devices management in the paradigm of fully autonomous Fabric of the Future in Industry 4.0.

Dynamic Prediction-Based Optical Localization of a Robot During Continuous Movement

Localization of mobile robots is essential for navigation and data collection. This work presents an optical localization scheme for mobile robots during the robot’s continuous movement, despite that only one bearing angle can be captured at a time. In particular, this paper significantly improves upon our previous works where the robot has to pause its movement in order to acquire the two bearing angle measurements needed for position determination. The latter restriction forces the robot to work in a stop-and-go mode, which constrains the robot’s mobilitty. The proposed scheme exploits the velocity prediction from Kalman filtering, to properly correlate two consecutive measurements of bearing angles with respect to the base nodes (beacons) to produce location measurement. The proposed solution is evaluated in simulation and its advantage is demonstrated through the comparison with the traditional approach where the two consecutive angle measurements are directly used to compute the location.