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Singh, Amanpreet
- Osteosarcoma of Jaw - Case Report and Review of Literature
Abstract Views :225 |
PDF Views:138
Authors
Affiliations
1 Punjab Institute of Medical Sciences, Jalandhar, Punjab, IN
1 Punjab Institute of Medical Sciences, Jalandhar, Punjab, IN
Source
International Journal of Medical and Dental Sciences, Vol 4, No 1 (2015), Pagination: 653-657Abstract
Osteosarcoma is a bone tumor and can occur in any bone, usually in the extremities of long bones, near the metaphyseal growth plates. Osteosarcoma of the jaw bones represents a distinct group of lesions from the conventional type commonly occurring in long bones. The emphasis should be laid on the aggressiveness of this lesion which warrants an early identification and diagnosis of the lesion followed by prompt treatment. True synchronous multicentric osteosarcomas of the jaws are extremely rare but, like other osteosarcomas of the jaws, have a favourable outcome, and palliative resection of such lesions, though challenging, can therefore lead to an enormously improved quality of life and self-image, and may even offer the opportunity for cure. We present a case of osteosarcoma of mandible in a young male treated by radical excision and reconstruction using free fibula bone flap.Keywords
Bony Swelling, Osteosarcoma, Jaws, Radical Surgery, Reconstruction.Full Text
- Optimizing Throughput and Reliability by Piggybacking Retransmissions in Network Coding
Abstract Views :149 |
PDF Views:0
Authors
Affiliations
1 Punjab Technical University, Jalandhar, IN
1 Punjab Technical University, Jalandhar, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 8 (2013), Pagination: 126-136Abstract
In wireless networks due to the presence of unreliable links, efficiency and overall network performance degrades. To ensure the reliable end to end transmission, lost packets are retransmitted. Network coding improves the efficiency of network but susceptible to pollution attack in the presence of malicious nodes and links. The main concern of this paper is to limit the pollution attack by identifying malicious nodes and isolating it from the network so that the system can quickly recover from attackers Simulation shows that the proposed protocol OTRPR-NC routes the coded packets through the best possible path of the malicious network and minimizes the average no. of transmissions. It also optimizes the packet buffering, Network reliability and Retransmission time as compared to IPDR and ONCBT algorithms.Keywords
Wireless Networks, Optimization, Multicasting, Network Coding, Encoding, Coding Gain.Full Text
- An Integrated Approach in Developing Flood Vulnerability Index of India using Spatial Multi-Criteria Evaluation Technique
Abstract Views :268 |
PDF Views:76
Authors
Affiliations
1 Disaster Management Support Division, National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
1 Disaster Management Support Division, National Remote Sensing Centre, Indian Space Research Organisation, Balanagar, Hyderabad 500 037, IN
Source
Current Science, Vol 117, No 1 (2019), Pagination: 80-86Abstract
In recent years, flash floods took place in various parts of the country that are not under floodplains due to high rainfall events, causing damage to rail, road and urban infrastructure. There is a need to develop a flood vulnerable index map of the country for precautionary measures in such vulnerable areas. Developing flood vulnerability index (FVI) at country level in India is a multifaceted job due to huge variations in topographic, meteorological and hydrological conditions over space and time. The paper focuses on developing a scientific approach in preparing FVI map of the country in a spatial decision support system environment by using space-based inputs, topographic data and long-term meteorological data. Probable maximum precipitation (PMP) and high rainfall frequency were computed using 100 years daily rainfall data of the country. Runoff potential of the country was prepared using high resolution landuse, soils, and digital elevation model grids. Probable maximum run-off was further computed at national level using PMP and run-off potential grids. Morphometric analysis was done using topographic and drainage information. All these layers were normalized and integrated in SDSS environment to compute the flood vulnerability index of the country. Suitable weights were given for all layers using the knowledge base reviewed across the globe. Sensitivity analysis and validation were done using the previous flood incidents.Keywords
Flood Vulnerability Index, Morphometric Analysis, Probable Maximum Precipitation, Probable Maximum Run-Off, Run-off Potential, Spatial Decision Support System.Full Text
References
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- Balica, S. F., Popescu, I., Beevers, L. and Wright, N. G., Parametric and physically based modeling techniques for flood risk and vulnerability assessment: a comparison. Environ. Model. Softw., 2013, 41, 84–92; doi:10.1016/j.envsoft.2012.11.002.
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- Schanze, J., Flood risk management – a basic framework. Flood Risk Management: Hazards, Vulnerability and Mitigation Measures, NATO Science Series: IV: Earth and Environmental Sciences, 2006, 67(Part 1), 1–20.
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- Durga Rao, K. H. V., Multicriteria spatial analysis for forecasting urban water requirements – a case study of Dehradun City, India. Int. J. Landscape Urban Planning, 2005, 71(2–4), 163–174.
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- Co-integration among Stock Prices and Macroeconomic Variables in India–A Banking Sector Perspective
Abstract Views :221 |
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Authors
Affiliations
1 School of Management Studies, Punjabi University, Patiala, Punjab, IN
1 School of Management Studies, Punjabi University, Patiala, Punjab, IN
Source
Journal of Commerce and Accounting Research, Vol 8, No 2 (2019), Pagination: 1-8Abstract
The study attempts to establish the relationship between banking stock prices in India (S&P BSE BANKEX) and macroeconomic variables namely index of inflation, foreign exchange rate, industrial production, interest rate and money supply over the period of 9 years from April 2009 to March 2018. The study applies unit ischolar_main tests and finds all variables to be non-stationary at level but integrated of the first order. It then employs Johansen’s co-integration test in order to estimate the presence and number of co-integrating vectors and vector error correction model (VECM) to identify relationships. While the study finds that macroeconomic variables are co-integrated with banking stocks in India, short-run dynamics to establish equilibrium were absent among them. It is observed that banking stocks relates positively to industrial growth and negatively to money supply. While banking stock prices were positively linked with inflation & foreign exchange rate and negatively linked with interest rates, their relationship was not statistically significant.Keywords
Stock Prices, Macroeconomic Variables, Unit-Root Tests, Johansen’s Co-integration, VECM.
References
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- Evaluation of Improved Fuzzy Inference System to Preserve Image Edge for Image Analysis
Abstract Views :178 |
PDF Views:1
Authors
Affiliations
1 Department of Electronics and Communication Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, DAV Institute of Engineering and Technology, IN
1 Department of Electronics and Communication Engineering, I.K. Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, DAV Institute of Engineering and Technology, IN
Source
ICTACT Journal on Image and Video Processing, Vol 11, No 4 (2021), Pagination: 2423-2431Abstract
There are numerous applications based on edge detection have been used in the area of image analysis. The technique of edge detection is an important step towards the visual system reliability and security that delivers a better understanding in many applications like object recognition classification, photography, and many more others computer vision application such as pedestrian detection for a vehicle on the road, face detection in biometric, and video surveillance. We know that detection of edge detection is a scientific technique that is practiced to provide better image analysis and towards this purpose, lots of edge identification approach was already implemented by the researchers in the image processing era, but they do not achieve acceptable results for all types of the image that can help in the image analysis. In this research, we introduced a comparative evaluation of edge detection algorithms for instance Sobel, Canny, and Fuzzy logic-based edge detector with an Improved Fuzzy Inference (IFI) system is presented to preserve image edge for image analysis. The key contribution of this research is developing a new hybrid edge mechanism by utilizing the gradient and standard deviation based fuzzy logic approach to achieve better edge detection efficiency. To provide a better edge or non-edge region from an image the proposed IFI has its impact on quality parameters, for instance, Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Entropy and Structural Similarity (SSIM) with the execution time. At last, the performance parameters of the proposed IFI system is compared with other edge technique and we observed that the achieved results justify the proposed work in image processing.Keywords
Edge Detection, Fuzzy Logic, Fuzzy Inference, Gradient, Standard Deviation.References
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- A Comparative Framework For Blocking Artifacts Removal Of Digital Images Using Hybrid Mechanism
Abstract Views :189 |
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, IK Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, DAV Institute of Engineering and Technology, IN
1 Department of Electronics and Communication Engineering, IK Gujral Punjab Technical University, IN
2 Department of Electronics and Communication Engineering, DAV Institute of Engineering and Technology, IN
Source
ICTACT Journal on Image and Video Processing, Vol 12, No 3 (2022), Pagination: 2630-2637Abstract
The restoration of an image with blocking artifacts due to compression at low bit rates is a challenging task and blocking artifact measurement algorithms have an important role to play in the computer vision field. An artifacts removal technique is an important step towards the reliability and security of image processing area that delivers a better understanding in many applications like pattern recognition, object classification, surveillance system and many more. We know that the removal of art objects is a scientific method used to provide better image analysis and for this purpose many methods of removal of art objects were already made by researchers during the processing of images such as line, motion, pattern, and hair. But in availability of group of artifacts in an image, they do not achieve an acceptable result. In this research, we proposed a comparative framework for blocking artifacts removal of digital images using hybrid mechanism. The main contribution of this research is developing a new neuro-fuzzy systembased hybrid artifacts removal mechanism to achieve better blocking artifacts efficiency. To remove artifact from an image the proposed framework has its own impact in quality parameters such as Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), and Structural Similarity (SSIM) with the execution time. At last, the performance parameters of proposed framework is compare for all five techniques such as line, motion, pattern, hair and combination of all with each other and we observed that the achieved results justify the proposed hybrid artifact removal method in the field of image processing.Keywords
Artifacts, Line, Motion, Pattern, Hair, Neuro-Fuzzy, Image processing, PSNR, MSE, SSIM, Execution TimeReferences
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