Beyond Growth: Does Tourism Promote Human Development in India? Evidence from Time Series Analysis

SHARMA, Manu,MOHAPATRA, Geetilaxmi,GIRI, Arun Kumar Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.12

The present study aims to investigate the impact of tourism growth on human development in Indian economy. For this purpose, the study uses annual data from 1980 to 2018 and utilizes two proxies for tourism growth - tourism receipt and tourist arrivals - and uses human development index calculated by UNDP. The study uses control variables such as government expenditure and trade openness. The study employs auto regressive distributed lag (ARDL) approach to investigate the cointegrating relationship among the variables in the model. Further, the study also explores the causal nexus between tourism sector and human development by using the Toda-Yamamoto Granger non-causality test. The result of ARDL bounds test reveals the existence of cointegrating relationship between human development indicators, government expenditure, trade openness, and tourism sector growth. The cointegating coefficient confirms a positive and significant relationship between tourism sector growth and human development in India. The causality result suggests that economic growth and tourism have a positive impact while trade openness has a negative impact on human development in India. The major findings of this study suggest that tourism plays an important role in the socio-economic development of Indian economy in recent years and the country must develop this sector to achieve sustainable development.

Tool Wear, Chip formation and Workpiece surface issues in CBN Hard Turning: A Review

Manu Dogra,Vishal S Sharma,Anish Sachdeva,Narinder Mohan Suri,Jasminder Singh Dureja4 한국정밀공학회 2010 International Journal of Precision Engineering and Vol. No.

Steel parts that carry critical loads in everything from automotive drive trains and jet engines to industrial bearings and metal-forming machinery are normally produced by a series of processes, including time-consuming and costly grinding and polishing operations. Due to the advent of super-hard materials such as polycrystalline cubic boron nitride (PCBN) cutting tools and improved machine tool designs, hard turning has become an attractive alternative to grinding for steel parts. The potential of hard turning to eliminate the costs associated with additional finishing processes in conventional machining is appealing to industry. The objective of this paper,is to survey the recent research progress in hard turning with CBN tools in regard of tool wear, surface issues and chip formation. A significant pool of CBN turning studies has been surveyed in an attempt to achieve better understanding of tool wear, chip formation, surface finish, white layer formation, micro-hardness variation and residual stress on the basis of varying CBN content, binder, tool edge geometry, cooling methods and cutting parameters. Further important modeling techniques based on finite element, soft computing and other mathematical approaches used in CBN turning are reviewed. In conclusion, a summary of the CBN turning and modeling techniques is outlined and the scope of future work is presented.

An Improved Feature Matching Technique for Stereo Vision Applications with the Use of Self-Organizing Map

Sharma, Kajal,Kim, Sung Gaun,Singh, Manu Pratap 한국정밀공학회 2012 International Journal of Precision Engineering and Vol.13 No.8

Stereo vision cameras are widely used for finding a path for obstacle avoidance in autonomous mobile robots. The Scale Invariant Feature Transform (SIFT) algorithm proposed by Lowe is used to extract distinctive invariant features from images. While it has been successfully applied to a variety of computer vision problems based on feature matching including machine vision, object recognition, image retrieval, and many others, this algorithm has high complexity and long computational time. In order to reduce the computation time, this paper proposes a SIFT improvement technique based on a Self-Organizing Map (SOM) to perform the matching procedure more efficiently for feature matching problems. Matching for multi-dimension SIFT features is implemented with a self-organizing map that introduces competitive learning for matching features. Experimental results on real stereo images show that the proposed algorithm performs feature group matching with lower computation time than the SIFT algorithm proposed by Lowe. We performed experiments on various set of stereo images under dynamic environment with different camera viewpoints that is based on rotation and illumination conditions. The numbers of matched features were increased to double as compared to the algorithm developed by Lowe. The results showing improvement over the SIFT proposed by Lowe are validated through matching examples between different pairs of stereo images. The proposed algorithm can be applied to stereo vision based robot navigation for obstacle avoidance, as well as many other feature matching and computer vision applications.

An Improved Feature Matching Technique for Stereo Vision Applications with the Use of Self-Organizing Map

Kajal Sharma,김성관,Manu Pratap Singh 한국정밀공학회 2012 International Journal of Precision Engineering and Vol. No.

Stereo vision cameras are widely used for finding a path for obstacle avoidance in autonomous mobile robots. The Scale Invariant Feature Transform (SIFT) algorithm proposed by Lowe is used to extract distinctive invariant features from images. While it has been successfully applied to a variety of computer vision problems based on feature matching including machine vision, object recognition, image retrieval, and many others, this algorithm has high complexity and long computational time. In order to reduce the computation time, this paper proposes a SIFT improvement technique based on a Self-Organizing Map (SOM) to perform the matching procedure more efficiently for feature matching problems. Matching for multi-dimension SIFT features is implemented with a self-organizing map that introduces competitive learning for matching features. Experimental results on real stereo images show that the proposed algorithm performs feature group matching with lower computation time than the SIFT algorithm proposed by Lowe. We performed experiments on various set of stereo images under dynamic environment with different camera viewpoints that is based on rotation and illumination conditions. The numbers of matched features were increased to double as compared to the algorithm developed by Lowe. The results showing improvement over the SIFT proposed by Lowe are validated through matching examples between different pairs of stereo images. The proposed algorithm can be applied to stereo vision based robot navigation for obstacle avoidance, as well as many other feature matching and computer vision applications.

Gold Nanoparticles Grafted Mesoporous Silica: A Highly Efficient and Recyclable Heterogeneous Catalyst for Reduction of 4-Nitrophenol

Akansha Mehta,Manu Sharma,Ashish Kumar,Soumen Basu 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.9

Synthesis of gold nanoparticles dispersed uniformly on mesoporous silica (mAu/SiO2) by homogeneous deposition–precipitation (HDP) method is used as an effective catalyst for reduction of 4- nitrophenol to 4-aminophenol. Silica provides support and surface area to increase the catalytic activity of gold. X-ray photon spectroscopy revealed binding energy of Au 4f7/2 (~84.0 eV) and Au 4f5/2 (~87.7 eV) which support the formation of Au0 on SiO2 surface. Au/SiO2 showed Langmuir type-IV isotherms which are the characteristic features of mesoporous materials furthermore, pore size decreases with incorporation of Au NP's on SiO2 surface. The enhancement is due to the strong interaction of Au0 with silica support. The catalytic conversion was studied by UV-Visible spectroscopy and high performance liquid chromatography (HPLC) quantification method, which shows conversion of nitro group into amino group. In addition, the catalyst was easily separated and reused. The reusability of the catalyst exhibited better reduction of the 4-nitrophenol to 4- aminophenol even after 10 consecutive cycles. In comparison to trisodium citrate capped pure gold nanoparticles mAu/SiO2 catalysts showed very good catalytic activity toward nitrophenol reduction. Here we conclude that embedment of metal catalysts like Au into high surface area support like silica is a positive step toward development of novel heterogeneous catalysts.

Mathematical modeling of actively controlled piezo smart structures: a review

Gupta, Vivek,Sharma, Manu,Thakur, Nagesh Techno-Press 2011 Smart Structures and Systems, An International Jou Vol.8 No.3

This is a review paper on mathematical modeling of actively controlled piezo smart structures. Paper has four sections to discuss the techniques to: (i) write the equations of motion (ii) implement sensor-actuator design (iii) model real life environmental effects and, (iv) control structural vibrations. In section (i), methods of writing equations of motion using equilibrium relations, Hamilton's principle, finite element technique and modal testing are discussed. In section (ii), self-sensing actuators, extension-bending actuators, shear actuators and modal sensors/actuators are discussed. In section (iii), modeling of thermal, hygro and other non-linear effects is discussed. Finally in section (iv), various vibration control techniques and useful software are mentioned. This review has two objectives: (i) practicing engineers can pick the most suitable philosophy for their end application and, (ii) researchers can come to know how the field has evolved, how it can be extended to real life structures and what the potential gaps in the literature are.

Mathematical modeling of actively controlled piezo smart structures: a review

Vivek Gupta,Manu Sharma,Nagesh Thakur 국제구조공학회 2011 Smart Structures and Systems, An International Jou Vol.8 No.3

This is a review paper on mathematical modeling of actively controlled piezo smart structures. Paper has four sections to discuss the techniques to: (i) write the equations of motion (ii) implement sensoractuator design (iii) model real life environmental effects and, (iv) control structural vibrations. In section (i), methods of writing equations of motion using equilibrium relations, Hamilton’s principle, finite element technique and modal testing are discussed. In section (ii), self-sensing actuators, extension-bending actuators,shear actuators and modal sensors/actuators are discussed. In section (iii), modeling of thermal, hygro and other non-linear effects is discussed. Finally in section (iv), various vibration control techniques and useful software are mentioned. This review has two objectives: (i) practicing engineers can pick the most suitable philosophy for their end application and, (ii) researchers can come to know how the field has evolved, how it can be extended to real life structures and what the potential gaps in the literature are.

Three-dimensional computer navigation in the reconstruction of complex unilateral orbital fractures: evaluation and review of applications

Parampreet Singh Saini,Rajesh Kumar,Manu Saini,Tarush Gupta,Sunil Gaba,Ramesh Kumar Sharma 대한두개안면성형외과학회 2024 Archives of Craniofacial Surgery Vol.25 No.4

Background: The eyes are the central aesthetic unit of the face. Maxillofacial trauma can alter facial proportions and affect visual function with varying degrees of severity. Conventional approaches to reconstruction have numerous limitations, making the process challenging. The primary objective of this study was to evaluate the application of three-dimensional (3D) navigation in complex unilateral orbital reconstruction. Methods: A prospective cohort study was conducted over 19 months (January 2020 to July 2021), with consecutive enrollment of 12 patients who met the inclusion criteria. Each patient was followed for a minimum period of 6 months. The principal investigator carried out a comparative analysis of several factors, including fracture morphology, orbital volume, globe projection, diplopia, facial morphic changes, lid retraction, and infraorbital nerve hypoesthesia. Results: Nine patients had impure orbital fractures, while the remainder had pure fractures. The median orbital volume on the normal side (30.12 cm3; interquartile range [IQR], 28.45–30.64) was comparable to that of the reconstructed orbit (29.67 cm3; IQR, 27.92–31.52). Diplopia improved significantly (T(10) = 2.667, p= 0.02), although there was no statistically significant improvement in globe projection. Gross symmetry of facial landmarks was achieved, with comparable facial width-to-height ratio and palpebral fissure lengths. Two patients reported infraorbital hypoesthesia at presentation, which persisted at the 6-month follow-up. Additionally, five patients developed lower lid retraction (1–2 mm), and one experienced implant impingement at the infraorbital border. Conclusion: Our study provides level II evidence supporting the use of 3D navigation to improve surgical outcomes in complex orbital reconstruction.