A study of surgical management of distal femoral fractures in adults using locking compression plate

Background: The introduction of locking compression plates with option of locked screws has provided the means to increase the stability of fracture fixation.Methods: In this study, 30 distal femoral fractures were treated using the distal femoral locking compression plate. All fractures were fresh, closed and operated within 12 days. Follow up duration ranged from 6 to 18 months.Results: In this study, 20 patients were males and 10 were females. The 23 of the fractures (76.66%), were caused by road traffic accidents, 3 were due to accidental falls (10%), one was due to assault and 3 were due to fall from height.9 patients had associated injuries.  All patients were treated with open reduction and internal fixation using Locking Compression Plate. 6 to 9 holed plates were used. Out of 30 patients 2 went for delayed union and 3 went for non-union. Average knee flexion was 109o having knee range of motion more than 100 with 50% patients. Average knee extensor lag was 2.4 degrees with only 4 patients with lag more than 5. 2 patients developed 2 cm shortening. 4 patients had less than 5 degrees of malalignment. 2 patients had deep infection. Functional outcome was measured using NEER's scoring system and was done at the end of 5- 7 months (average of 6 months).  Excellent results- 17 (56.66%) good results-8 (26.66%) fair results-2 (6.66%) poor results-3 (10%).Conclusions: LCP condylar plate represents an evolutionary approach to the surgical management and is an important armamentarium in distal femur fracture fixation, especially when fracture is severely comminuted and in situations of osteoporosis.

Detection of Motion Vector-Based Video Steganography by Adding or Subtracting One Motion Vector Value

In last decades the Steganography is an tremendous progress, at the same time there exist issues to detect the steganalysis in motion based video where the substance is reliably in motion conduct that makes that to detect it. Analyzing the difference between the rated motion value plays a crucial role that enables us to focus on difference between the locally optimal SAD and actual SAD after adding-or-subtracting-one operation on the motion value. Based on the motion vectors to play out the classification and extraction process at last, two features sets are been used based on the fact that most motion vectors are locally optimal for most video codec’s to complete this process. The conventional approaches announced the technique for proposed prevails to meet the requirement applications and detecting the steganalysis in videos compare in the literature

Design of Multi-Layer Protocol Architecture using Hybrid Optimal Link State Routing (HOLSR) Protocol for CR Networks

There is a lack of spectrum due to the rising demand for sensing device communication and the inefficient use of the existing available spectrum. Through opportunistic access to licenced bands, which does not obstruct the primary sensory users (PU), it is feasible to enhance the inefficient use of the current sensor device frequency spectrum. Cognitive settings are a demanding environment in which to carry out tasks like sensor network routing and spectrum access since it is difficult to access channels due to the presence of PUs. The basic goal of the routing problem in sensor networks is to establish and maintain wireless sensor multihop paths between cognitive sensor nodes. The frequency to be used as well as the number of hops at each sensor node along the path must be determined for this assignment. In order to improve performance while using less energy, scientists suggested a unique adaptive cross-layer optimisation subcarrier distribution technique with the HOLSR protocol for wireless sensor nodes. Throughput and energy consumption parameters are used to analyse the sensor network architecture protocol that has been developed. The energy usage of the sensor nodes in the network has increased by 50%. The performance of the proposed HOLSR algorithm is assessed using the simulation results, and the results are contrasted with those of a conventional multicarrier (MC) system in terms of bit error rate and throughput

5G Enabled Moving Robot Captured Image Encryption with Principal Component Analysis Method

Estimating the captured image of moving robots is very difficult. These images are vital in analyzing earth's surface objects for many applications like studying environmental conditions, Land use and Land Cover changes, and change detection studies of worldwide change. Multispectral robot-captured images have a massive amount of low-resolution data, which is lost due to a lack of capture efficiency due to artificial and atmospheric reasons. The image transformation is required in a 5G network with effective transmission by reducing noise, inconsistent lighting, and low resolution, degrading image quality. In this paper, the authors proposed the machine learning dimensionality reduction technique i.e. Principle Component Analysis (PCA) and which is used for metastasizing the 5 G-enabled moving robot captured image to enrich the image's visual perception to analyze the exact information of global or local data. The encryption algorithm implanted for data reduction and transmission over the 5G network gives sophisticated results compared with other standard methods. This proposed algorithm gives better performance in developing data reduction, network convergence speed, reduces the training time for object classification, and improves accuracy for multispectral moving robot-captured images by the support of 5G network

Adaptive order search and tangent-weighted trade-off for motion estimation in H.264

Motion estimation and compensation play a major role in video compression to reduce the temporal redundancies of the input videos. A variety of block search patterns have been developed for matching the blocks with reduced computational complexity, without affecting the visual quality. In this paper, block motion estimation is achieved through integrating the square as well as the hexagonal search patterns with adaptive order. The proposed algorithm is called, AOSH (Adaptive Order Square Hexagonal Search) algorithm, and it finds the best matching block with a reduced number of search points. The searching function is formulated as a trade-off criterion here. Hence, the tangent-weighted function is newly developed to evaluate the matching point. The proposed AOSH search algorithm and the tangent-weighted trade-off criterion are effectively applied to the block estimation process to enhance the visual quality and the compression performance. The proposed method is validated using three videos namely, football, garden and tennis. The quantitative performance of the proposed method and the existing methods is analysed using the Structural SImilarity Index (SSIM) and the Peak Signal to Noise Ratio (PSNR). The results prove that the proposed method offers good visual quality than the existing methods. Keywords: Block motion estimation, Square search, Hexagon search, H.264, Video codin