Informatics Publishing Limited

Ashish Kothari

Abstract

Forestry education and training in India which is based on conventional forest management centred towards state, relying on a centralized bureaucracy, This has now begun to change, due to several factors including growing mobilization by affected communities, realization by government and civil society that effective conservation needs community involvement, and several global processes redefining forest management and governance. For protected areas, two new categories of governance have been recognized: 'shared governance or co-management of protected areas (CMPA)' in which governments and local communities jointly decide, plan, and execute management measures; and 'community conserved areas (CCAs)', in which local communities are the predominant decision-makers. Various governance types can be combined to conserve large 'landscapes' rather than only islands of PAs. The IFS syllabus needs revamping to centre around concepts and practices of participation, rights, CMPAs and CCAs, landscape-level conservation,and combining traditional and modern knowledge.

Keywords

Forestry Education, Training, Reforms

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Navneet S. Ghedia ¹, C. H. Vithalani ², Ashish Kothari ³

Affiliations
1 Department of Electronics and Communication, Gujarat Technological University, Ahmedabad – 382424, Gujarat, IN
2 Department of Electronics and Communication, Government Engineering College, Rajkot, Rajkot – 360005, Gujarat, IN
3 EC Department, Atmiya Institute of Technology and Science, Rajkot – 360005, Gujarat, IN

Abstract

Objective: To evaluate the crowd densities in video scene under different constraints. For the crowded video analysis robust foreground detection methods are required to differentiate between moving or static foreground objects and static or dynamic background. Large number of foreground segmentation or motion segmentation approaches are available but only few can handle the various constraints like illumination variations, dynamic background partial or high level of occlusions. Method: We have proposed a modified Gaussian mixture model using adaptive thresholding. The proposed approach is implemented in MATLAB. Findings: Our proposed approach analyze all the aspects of the various backgrounds and foregrounds modelling and then compared their critical performance in terms of the PR curves and miss rate. The performance evaluation demonstrates considerable improvements in miss rate compared to traditional approaches. Our proposed method also shows significant improvements in Multi Object Detection and in Tracking Accuracy. Application: Our proposed approach analyzes the crowded scenes, especially handles outdoor environment. Optimized model parameters and adaptive thresholding makes it more robust to handle varying light conditions and partial occlusions.

Keywords

Background Model, Crowd Analysis, Foreground Model, Parametric Model.

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Kapil Raviya ¹, Ved Vyas Dwivedi ², Ashish Kothari ³, Gunvantsinh Gohil ⁴

Affiliations
1 College of Agricultural Engineering and Technology, Electronics Communication Engineering, Junagadh Agricultural University, Gujarat, IN
2 C. U. Shah University, Pro- Vice Chancellor, Wadhwan City, Gujarat, IN
3 Electronics Communication Engineering, Atmiya Institute of technology & Science, Gujarat technological university, Gujarat, IN
4 College of Agricultural Engineering and Technology, Junagadh Agricultural University, Gujarat, IN

Abstract

The researcher have suggested real time depth based on frequency domain hole filling. It get better quality of depth sequence generated by sensor. This method is capable to produce high feature depth video which can be quite useful in improving the performance of various applications of Microsoft Kinect such as obstacle detection and avoidance, facial tracking, gesture recognition, pose estimation and skeletal. For stereo matching approach images depth extraction is the hybrid (Combination of Morphological Operation) mathematical algorithm. There are few step like color conversion, block matching, guided filtering, minimum disparity assignment design, mathematical perimeter, zero depth assignment, combination of hole filling and permutation of morphological operator and last nonlinear spatial filtering. Our algorithm is produce smooth, reliable, noise less and efficient depth map. The evaluation parameter such as Structure Similarity Index Map (SSIM), Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) measure the results for proportional analysis.

Keywords

Depth, Disparity, Guided Filter, Kinect, Morphological Filter, Stereo Matching, Warp, Zero Depth, 3-Dimension.

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Ashish Kothari ¹

Affiliations
1 Kalpavriksh, IN

Abstract

“Ahimsa - Non-violence is not a sufficiently correct translation of ahimsa, which is a culturally-ischolar_mained concept. … Ahimsa is the essence of man’s natural life. Ahimsa does not merely mean non-killing, non-aggression or nonviolence… it embodies the highest form of human activity. When natural life is informed by ahimsa, men and women are inspired and equipped for self-transcendence. This is the mode of recreating life incessantly in accordance with truth. In the ultimate analysis, ahimsa bridges the gap between the extension and intension of truth. It is, thus, the ideal of human activity. …Genuine human activity demands that we transcend our theories the moment we construct them. … We ought to learn to confront reality directly, as Gandhi did, unmediated by theoretical contraptions or constructs.“

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Nayankumar Patel ¹, Ved Vyas Dwivedi ², Ashish Kothari ³

Affiliations
1 Department of Electronics and Communication Engineering, C U Shah University, IN
2 Department of Electronics and Communication Engineering, Gokul Global University, IN
3 Department of Electronics and Communication Engineering, Atmiya University, IN

Abstract

Medical imaging greatly affects medication, particularly in the fields of diagnosis analysis and careful surgical planning. In any case, medical imaging gadgets continue delivering a great deal of data information for each patient. Medical image examination and data compression is a significant region of research which targets delivering calculations that diminish record size and simultaneously keep up important symptomatic data. Medical image compression applications are quality-driven applications which request high caliber for specific areas that have demonstrative significance for diagnosis, where even little quality decrease presented by lossy coding may modify resulting finding, which may cause serious lawful outcomes. The fundamental focal point of this paper is to investigate procedures and discover a compression algorithm that can eliminate irrelevant medical data and reconstruct medical image rapidly while keeping up a decent degree of visual quality for certain regions of medication where it is adequate to keep up high image quality just for indicatively noteworthy regions, for instance, tumor segment of the cerebrum MRI. Wavelet multi-resolution decomposition of images has indicated its proficiency in many image processing areas and explicitly in compression. Because of this, The Discrete Wavelet Transform (DWT) is used to code Region of Interest and Discrete Cosine Transformation (DCT) is utilized to code background region. A couple of examinations were led to break down the calculations dependent on compression proportion, decompressed image quality and execution speed.

Keywords

Medical Imaging, ROI, DWT, DCT, Lossy and Lossless Compression.

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