260 research outputs found
Application of Cartoon Like Effects to Actual Images
This paper represents different techniques of converting image to cartoon. Using any one of below mentioned techniques it is possible to convert all types of captured images to cartoon such as images of person, mountains, trees, flora and fauna etc. There are several other techniques for image to cartoon conversion such as using photoshop, adobe illustrator, windows MAC, paint.net and much more Chinmay Joshi | Devendra Jaiswal | Akshata Patil "Application of Cartoon Like Effects to Actual Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22928.pd
Gold seal of Viṣṇuvarman
Figure 52 in
To engrave his virtues on the disc of the moon… Inscriptions of the Aulikaras and Their Associates
Dániel Balogh, 2019
Gold seal of Viṣṇuvarman. Left: four faces of the object. Right: mirror image of inscribed face and hand tracing of inscription. Photograph courtesy of Devendra Handa, tracing by the author
Foreign Capital, Inflation, Sterilization, Crowding-Out and
This paper discusses some puzzles in the contemporary macroeconomic scene in India, from the perspective of public finance and economic development. These include a fiscal deficit higher than it was during the 1991 crisis, but without a large current account deficit or rise in inflation or interest rates, a rising inflow of external capital, accompanied by the RBI’s sterilizing these inflows and accumulating large reserves, even in the face of low inflation. We offer a critique of some previous analyses, and some models that are suggestive of how real and monetary factors might be integrated in providing a firmer grounding for the policy debates current in India.foreign capital, sterilization, absorption, crowding out, inflation, growth
Esophageal adenocarcinoma versus squamous cell carcinoma: retrospective hospital-based analysis of a 12-year temporal trend
There is a paucity of literature from the Indian subcontinent looking at the prevalence of esophageal cancer by histological type. In our study, we ascertained the relative proportion and location of adenocarcinoma (AC) and squamous cell carcinoma (SCC) of the esophagus at a referral hospital in Mumbai, India over a 12-year period to assess whether a time-trend existed. A retrospective analysis was carried out on patients who were diagnosed with and/or treated for esophageal cancer at the P D Hinduja Hospital and Research Centre in Mumbai between January 1, 2000 and December 31, 2011. Data were procured from histopathology and oncology registers of the institute, the database of the Gastroenterology consultants, the Endoscopy Department records and from the Medical Records Department. Of the 445 cases of esophageal cancer with known histology, 104 (23 %) were AC and 314 (71 %) were SCC. Over the 12-year period, the proportions of AC compared to SCC did not show a statistically significant temporal change (p = 0.145). AC comprised nearly a quarter of esophageal carcinoma in Mumbai. There has been no significant change in the number and proportion of AC and SCC in the 12-year period
Role of Risk Stratification and Genetics in Sudden Cardiac Death
Sudden cardiac death (SCD) is a major public health issue due to its increasing incidence in the general population and the difficulty in identifying high-risk individuals. Nearly 300,000-350,000 patients in the United States and 4- to 5 million patients in the world die from SCD. Coronary artery disease and advanced heart failure are the main etiology for SCD. Ischemia of any cause precipitates lethal arrhythmias, and ventricular tachycardia and ventricular fibrillation are the most common lethal arrhythmias precipitating SCD. Pulse-less electrical activity, brady-arrhythmia and electromechanical dissociation also result in SCD. Most sudden cardiac deaths occur out-of-the-hospital setting, so it is difficult to estimate the public burden, which results in overestimating the incidence of SCD. The insufficiency and limited predictive value of various indicators and criteria for SCD result in the increasing incidences. As a result, there is a need to develop better risk stratification criteria and find modifiable variables to decrease the incidence. Primary and secondary prevention and treatment of SCD need further research. This critical review is focused on the etiology, risk factors, prognostic factors and importance of risk stratification of SCD.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author
Geographical indication
Agricultural products are generally associated with their place of production and are influenced by specific local, geographical factors such as climate and soil. A geographical indication (GI) is a sign (or name) used on products that have a specific geographical origin and possess unique qualities or a reputation associated with the product of the origin (WIPO 2004). The qualities, characteristics or reputation of the product should be essentially due to the place of origin. GI is an intellectual property that protects the product of the area and ultimately helps to promote conservation of agrobiodiversity on-farm and boost economy of local community. The well-known examples of GIs in South Asia include Darjeeling tea, Basmati rice, Himalayan water, Alphonso and Sindhri mangoes, Bhutanese red rice, Pakistani shu (wind proof woolen fabric) and Ajrak (designs from Sindh), jasmine (Hom Mali) rice. Until now, there is no any GI protected products in Nepal. Government of Nepal has approved the National Intellectual Property Right Policy (2017) which includes Copyrights, Patents, Industrial design, Trademarks, GI, Varietal protection, Trade secrets and Traditional knowledge policy (MoICS 2017). Among these policies, GI gives exclusive right to a region or a landscape (eg village, town, region or country) to use a name for a particular product with certain characteristics that corresponds to their specific location. There are more than 100 agricultural products (Joshi et al 2017) which have already established their reputation representing their GIs. Malla and Shakya (2004) have identified and listed 87 potential products for geographical indication (GI) protection in Nepal. Most of the products possess greater cultural and age-old traditional values. Important indigenous crop landraces and their products linked with particular geography, which should therefore, be protected with GI by developing suitable legislation for their market promotion, on-farm conservation and livelihood enhancement of local communities. For GI promotion, Geo-linked popular crop landraces and their traits need to be found out for their potential trade promotion and value addition
Approximability of modularity clustering and related results
For the problem of Modularity Clustering, first introduced by Newman and Girvan in 2004, we are given a graph and the goal is to partition the vertex set into an unknown number of clusters such that we maximize a certain objective function which evaluates the fitness of the clusters. This fitness function measures the statistically surprising distribution of edges between different clusters and in the clusters themselves. Despite having found widespread popularity in the fields of biology and social sciences, this problem is known to be NP-hard and up till the work in this thesis, only heuristics were known. In this thesis, we initiate a study of the approximability of modularity clustering. We give the first approximation algorithms and the first hardness of approximation results for the problem. In doing so, we employ various techniques like semidefinite programming and the regularity lemma. Our main results in- clude a factor 1.0009 inapproximability for dense graphs and a logarithmic (in the degree) approximation for sparse graphs. We also extend some of these results to directed and weighted graphs and the more general problem of Max-cut where negative edge weights are allowed.Ph. D.Includes bibliographical referencesIncludes vitaby Devendra J. Desa
Comparison of motor cortex activation in response to individual finger movements from the right hand using functional near-infrared spectroscopy (fNIRS)
This study investigates neural activations within the motor cortex during finger-tapping tasks using functional near-infrared spectroscopy (fNIRS). Focusing on individual fingers of the right hand, the research aims to describe and compare the different brain regions engaged during these specific motor activities. A group of six right-handed participants, aged 24 to 34 years, were recruited to perform finger-tapping tasks. Each task consisted of 10 seconds of finger-tapping followed by 10 seconds of rest, with 20 seconds of initial final rest. The functional connectivity analysis revealed that activation of motoric regions is common in all fingers while other brain regions involve different finger-tapping tasks. These findings reveal distinct neural activation patterns across the different fingers examined. The thumb finger shows a unique activation profile, suggesting it operates via independent neural circuits distinct from other fingers. In contrast, other fingers, such as the index and ring fingers, showed overlapping activation patterns, indicative of shared neural pathways. These findings gain further support from the integrated hemoglobin response analysis, which reveals distinct activation patterns for different fingers. Notably, the thumb exhibits the highest level of activation, whereas the other fingers activate specific but comparatively less extensive brain regions.
Through detailed statistical analysis, including Pearson correlation and t-tests, significant differences in activation levels were observed between specific finger pairs. The thumb showed a very low correlation with other fingers, the other finger pairs show both high positive and negative correlations. On the other hand, some finger pairs like thumb-little and ring-little show differences in the activation levels while other finger pairs the thumbs versus index, middle, and ring fingers, and other combinations such as index versus middle, ring, little, and middle versus ring, little have similar activation patterns. These variations in the activation levels highlight the complexity of motor control and suggest that different fingers are sometimes controlled by overlapping and sometimes by distinct neural pathways. From the integrated hemoglobin response analysis, different fingers show different activation patterns of which the thumb shows the highest level of activation
Stochastic Open Pit Mine Production Scheduling under Geological Uncertainties
The mine production scheduling defines the sequence of extraction of mine mining blocks over the life of mine, which establishes the ore supply and total material movement. This process should be optimized to maximize the overall discounted cash flow value of a mining project. The optimization strategies for limestone mine is significantly different from the metal mine production optimization. Moreover, the deterministic scheduling method cannot incorporate level uncertainty into scheduling problem, may lead to serious deviations from the forecast production target. Stochastic mine production scheduling is considered to get a more robust mine production scheduling plan. However, the computational time is key problems associated with large scale stochastic mine production scheduling of an open pit mine. This thesis has attempted to solve two aspects of mine production scheduling: (a) new deterministic optimization formulation for limestone mine production scheduling; and (b) developing a new solution algorithm for solving large scale stochastic production scheduling under geological uncertainty.
For limestone production scheduling, a limestone quarry from India is selected. A new formulation of long term production planning of limestone quarry is presented according to the existing problem of the study mine to supply consistent quantity and quality of limestone to the cement plant. A case study quarry is served as a captive quarry for the cement plant. The objectives of this study are: (a) to investigate how long the limestone quarry can alone supply the desire quality and quantity materials to the cement plant; and (b) to investigated the possibility of extending the quarry life by utilizing some quantity of the limestone from the different source and blending that limestone with the limestone from the quarry to achieve the target quality and quantity of the cement plant. These objectives are achieved by generating the production sequencing of the mining blocks using a sequential branch and cut algorithm. The results revealed that up to 15 years, the existing quarry alone can served the cement plant. This production scheduling problem was solved using two different objectives: maximizing the utilization of low grade limestone and maximizing the profit over mine life. In both the cases, if certain quantity of limestone can be brought from the other sources, the life of the study quarry can be significantly increased. The life of the quarry increased from 15 years to 85 years. The study also helps to calculate the desire quality of the limestone that will be brought from other sources throughout the life of the quarry. The results also revealed that the maximizing the profit over mine life approach generates more profit (10% more) when compared with existing production planning formulation that mine is presently adopting (maximizing the utilization of low grade limestone).
To developing the new solution strategy for stochastic production scheduling under geological uncertainty, the standard metal mine open pit production scheduling formulation was considered. The goal of the open pit stochastic production scheduling is to assign mining blocks in different production periods to maximize the profit over the life-of-the-mine and minimizing the deviation from the targets. Since, stochastic mine production schedule requires multiple simulated orebody models, the number of decision variables and constraints are increased significantly which leads to huge computational time. The stochastic production scheduling of industrial size mining problem is generally impossible to solve optimally. The objective of this research is to develop an algorithm which helps to solve real size problem within reasonable amount of computational time with minimum gap from true optimum solution. Only geological uncertainty was considered in this production scheduling in this thesis; however, any other types of uncertainty can also be incorporated with little effort. The proposed solution approach for production scheduling is a two-step process. In first step, the stochastic production scheduling problem will be iteratively solved using parametric minimum-cut algorithm, after relaxing resource constraints. Finally, branch and cut algorithm will be applied to respect the resources constrains which might be violated during first stage of the algorithm. The validation of the proposed method was performed by calculating the percentage of gap from the upper bound of true optimality. The proposed model was validated by solving six small scale production scheduling problems from iron and copper mines. The results demonstrated that the proposed method can significantly improve the computational time with reasonable optimality gap. The proposed method was tested with industrial scale copper data set, and compare with its deterministic model. The results show that the stochastic model can improved the net present value by 6% with reasonable computational time.
Finally, a case study was performed in Indian iron mine to show the efficiency of proposed algorithm. A comparative study with one existing stochastic production scheduling method (Branch and cut with longest path algorithm) was performed, and results demonstrated that both the algorithm can generate similar net present value from the study mine; however, the computational time of the proposed method is 46.64% less than the existing method
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