In recent times due to rise in terrorism, people need to live in a safer place where unidentified persons will not be allowed to enter in the premises. Securing of major areas is a vital issue that needs to be addressed for the intelligence and security agencies. At the surrounding of premises, CCTV (CloseCircuit Television) cameras are usually installed to identify the number plate from database by using OCR (Optical Character Recognition) algorithm. This method of security by identifying only vehicle without verifying the person inside it is usually causing serious security issues. Identification of a person is usually done through image processing by using Viola Jones algorithm and acquire the information of the facial components to create a dataset for machine learning. It is imperative to introduce such a system that will be capable to identify the person along with the number plate of vehicle from the stored database. In this research, a comprehensive security system based on face recognition integrated with the vehicle number plate is proposed. The combined information of both dedicated cameras is then transferred to the based station for identification. This system is capable, of securing premises from crime in a more enhanced way.

In recent times, transmission of information over wireless channels is increasing at an exponential rate. Internet is major source of information; it can be in the form of video or images which alone size up to 72% of the global traffic. In order to tackle such immense data, available channel may not be enough for transmission or reception, in this regard it is imperative to use efficient compressions techniques to reduce its size. Compressed image quality depends on the Quantization Table performed after spatial transformation like Discrete Cosine Transform. Size of a raw image captured by Digital Single-Lens Reflex, having all of its traits can easily exceed 20 Mega Bytes. In proposed compression algorithm, a Crisp parameter p modification step is introduced for effective compression of an image by utilizing standard Joint Picture Expert Group Quantization Table as a baseline model. After implementation of the proposed algorithm, Mean Opinion Score is obtained from the masses through an online survey and it provide the scores of 47.633 at p = 1, 62.74 at p = 8, and 83.252 at p = 16. According to Mean opinion score, best trade-off between quality and size of an image is between the values of p ranges from 11-20, this is also proved by Mean Squared Error and Peak Signal to Noise Ratio, as their ranges are 0.00038-0.000301 and 34.09-34.92 dB respectively. Compression Ratio which is from 6.49-5.76 is also acceptable for the given range.

The technique of electrically stimulating thethoracic diaphragm is conducted by implanting a diaphragmaticpacemaker, in which the phrenic nerve is stimulated, resulting instimulating the diaphragm. A diaphragmatic pacemaker isusually implanted for a long period of time. Intramuscularelectrodes can be used for stimulating the diaphragm, for suchconditions in which phrenic nerve stimulation cannot be done.The material and inter-distance of the stimulation electrodes arevery important in order to stimulate the diaphragm in efficientmanner. This paper explains the Optimization of material, interdistanceand temperature effect of intramuscular electrodes usedto stimulate the thoracic diaphragm. A model has beenconstructed and simulated on the software COMSOL Multiphysics,whose results shows that the threshold musclestimulation is achieved when 1 volt is applied at the electrode, 15cm apart from each other. The result further suggested that thiskind of electrical stimulation cannot produce significant thermaleffect on the tissues.