Purpose To study the intraoperative findings in case of early and delayed decompression of facial nerve paralysis and compare their results. Methods Retrospective data analysis of 23 cases of longitudinal temporal bone fracture with House-Brackmann grade V and VI facial nerve paralysis. All cases were thoroughly evaluated and underwent facial nerve decompression through the transmastoid approach. All cases were under regular follow-up till the date of manuscript submission. Results Clinical improvement of the facial nerve function was observed for early vs. delayed facial nerve decompression. In the early decompression group, facial nerve function improved to grade II in eight cases (80%) and grade III in two cases (20%), whereas in the delayed decompression group it improved to grade II in one case (7.70%), grade III in four cases (30.76%), grade IV in seven cases (53.84%), and grade V in one case (7.70%). Conclusions Early decompression of facial nerve provides better results than delayed decompression because it enables early expansion of the nerve.

The paper explains how an Optical Character Recognition system (OCR) works and how this system enables us in capturing an image of a text document. It also explains how OCR is more efficient and easier alternative to scanning a document using a scanner as the image captured using OCR is of exactly the same quality like its scanned copy, the only difference being that OCR is done with the help of a simple mobile phone camera whereas scanning is done using a bulky scanner. It then also explains the problems being faced by the developers in using OCR as a technology on a large scale and how that problem can be dealt with. The proposed OCR system provides many features that require no typing, editing raw data, quick translation, and memory utilization.In the end it also highlights the major emerging trends in the field of OCR and how OCR as a technology is evolving with every passing day.

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Humans communicate with one another not only through their vocal abilities but also through the gestures that they make. A gesture can go a great way in putting through our point and making the other person understand us and computers are no different in this and can be controlled and made to respond to hand gestures using a gesture recognition system.The primary goal of a gesture recognition system is to identify specific human gesture and use the gesture for controlling the device in the manner specified for that gesture in the gesture recognition system. By implementing real time gesture recognition system, a user can control a computer by simply doing gestures in front of the web cam which is attached with the laptop/computer. And to implement this system, we have used real-time hand tracking algorithm, extraction algorithm and feature extraction.

Universal Serial Bus (USB) external devices are high speed flash/external drives which can boast data transfer speeds, about as large as 5Gbps. Host controlled USB is the fastest way of transferring material to an external device available today. It is easy, convenient and fast to access these USB devices as compared to other external devices such as CD, DVD, Floppy drive etc. USB is easy to use as they're plug and play devices and do not require any additional installation. The other big advantage of USB is that the data transmission is done at the same speeds, irrespective of the size of the data being copied. Thus USB and USB devices have become most popular interface standard for hardware connection. USB devices however lacks in security as any user can access the USB device and the data associated with it, leaving the data at huge potential risk. Thus to make the system more reliable and fast, we propose methods namely, Mutual Encryption and Key Match in order to provide security to the sensitive information on the device as well as to make the transactions or communication done using USB more encrypted.