Informatics Publishing Limited

Sachin Sharma ¹, D. J. Shah ²

Affiliations
1 Shankersinh Vaghela Bapu Institute of Technology, Gandhinagar (Gujarat)
2 Sankalchand Patel College of Engineering, Visnagar (Gujarat), IN

Abstract

Applications based on animal detection have a very important role in many real life situations. Some of these applications are detection and tracking of animals like elephant in forest for understanding their behavior with the environment, preventing animal vehicle collision on roads, preventing dangerous animal entering in residential area, and many more. In this paper first we will briefly summarize some of the methods used for detection of animals and then the application of our proposed method based on pattern matching mechanism using normalized cross correlation for identifying the animal. The proposed method has been applied for testing purpose to various images of dog. Simulation results show that our proposed method is efficient and the system has very low false positive and false negative rates. An overall efficiency of 86.25% is achieved for animal detection.

Keywords

Animal Detection, Image Processing, Frame Differencing, Normalized Cross Correlation, Pattern Matching.

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Manish K. Kandwal ¹, Ramesh Kumar ², Sachin Sharma ²

Affiliations
1 Botanical Survey of India, Arunachal Pradesh Regional Centre, Itanagar-791111, IN
2 Botanical Survey of India, Eastern Regional Centre, Shillong - 793003, IN

Abstract

No abstract.

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V. Suresh ¹, Janki B. Patel ¹, Sandhya Kumari ¹, Shukal Sonal ¹, Sharma Shivangi ¹, Suthariya Hetal ¹, Sachin Sharma ¹

Affiliations
1 Department of Mental Health Nursing, Sumandeep Nursing College, Sumandeep Vidyapeeth, Piparia, Vadodara, IN

Abstract

The study was conducted to assess the effectiveness of structured health education programme regarding obesity among adults residing at Waghodia taluka. The study was conducted in Waghodia taluka .Total samples were 60 and equally. Non probability purposive sampling technique was used .The research tool was developed in English after an extensive of literature and experts opinion it was translated in to Guajarati by language experts. The structured questionnaire was used as an instrument to measure the level of knowledge regarding obesity among adults residing at Waghodia taluka. The knowledge score of sample before administration of structured health education programme (pre test) shows that 37 (61.7%) respondents have moderately adequate knowledge, 17 (28.3%) have inadequate knowledge and 6 (10%) have adequate knowledge. According to the post test knowledge score after administration of structured health education programme 35 (58.3%) respondents have moderately adequate knowledge were 25 (41.7%) have adequate knowledge. Structured health education programme regarding obesity is effective. Chi-square test was calculated to find out the association between the demographic variables and the level of knowledge and it resulted there is association between the demographic variable and the level of knowledge regarding obesity among adults residing at Waghodia taluka.

Keywords

Assess, Effectiveness, Structured, Health Education, Programme, Obesity and Adults.

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Deepti Juneja ¹, Sachin Sharma ¹, Anupriya Jain ¹, Seema Sharma ¹

Affiliations
1 Manav Rachna University, Faridabad, Haryana, IN

Abstract

With the rapid growth in size and number of available databases in commercial, industrial, administrative and other applications, it is necessary and interesting to examine how to extract knowledge from huge amount of data. There are several mining algorithms available to solve diverse data mining problems. One of the knowledge and discovery in databases operations is the problem of inducing decision trees. C4.5 is one of the most important algorithms in Decision Tree Induction. In this paper the limitations of the existing C4.5 algorithm are discussed and an enhancement technique for improving its efficiency is proposed.

Keywords

Data Mining, Decision Trees, C4.5 Algorithm.

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Anupriya Jain ¹, Sachin Sharma ¹, Seema Sharma ¹, Deepti Juneja ¹

Affiliations
1 Manav Rachna International University, Faridabad, IN

Abstract

The purpose of boundary value analysis is to concentrate effort on error prone area by accurately pinpointing the boundaries of condition. Boundary value analysis produces test inputs near each sub domain’s to find failure cause by incorrect implementation of boundary. The major limitation of boundary value analysis is that it fails to test non-numerical variables. This paper focuses on as an antidote to enter the string values.

Keywords

Boundary Value, Failure, Test Case Generation, Non-Numerical Text.

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Sachin Sharma ¹, Sandip Kumar Goyal ¹, Kamal Kumar ²

Affiliations
1 Department of Computer Engineering, M. M. Engineering College, M. M. University, Ambala – 133207, Haryana, IN
2 School of Computer Science and Engineering (SoCSE), UPES, Dehradun – 248007, Uttarakhand,, IN

Abstract

Objectives: To apply ETLR (Extraction, Transformation, Loading and Retrieval) paradigm to build an efficient, effective and cost effective data warehouse for telecom industry. The focus point is to optimize every layer of telecom DWH. Methods: The data techniques used are making use of telecom infrastructure, i.e. MSC files and applying segregation logic at the source layer i.e. mediation layer. Files are pushed towards predefined separate destinations and applying multiple technology mix mainly of database inbuilt utilities and custom scripts to avoid use of commercial ETL tools; and at the same time achieving enhanced performance at every front. Technology mix includes source optimization, external table implementation and switching, DB copy utility and retrieval level optimization. We have used data loading statistics to compare the results. Findings: The ultimate result is a telecom data warehouse and the result that we have achieved using ETLR paradigm improved the data processing of the data many folds. The motive is to optimize every layer that comes in between the data warehouse building process. Source level optimization leads at the data cleaning at the source level itself, thus shifting the load at the source system and reduced the load on the DWH servers. We have supplied bunch of files to the external tables and thus utilizing the OS storage for tabular data. Transforming data using views and push them into partitioned tables using DB copy utility improved the overall performance. Using query optimization techniques and DB level tuning ensures the data availability in minimum time. The data availability of a standard DWH is sysdate-1; but in our case, we have reduced it to approx. 4 hours with indexes intact. The scalability is also a very strong point of our ETLR paradigm. Now telecom operators have a better system available for building their data warehouse without taking care of heavy license fee for commercial tools. Application/Improvements: The application of the paradigm is in mostly every sector where data processing is a big challenge and cost is a major factor. We have given its application in telecom sector in this paper. The same can be implemented in Banking Sector, Insurance Sector, social media etc. and we can put it on cloud also in case hardware is a constraint.

Keywords

Big-Data, ETL, Mobile Data, Retrieval, Scripts, Telecom Sector

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Dhiraj Sachan ¹, Sachin Sharma ²

Affiliations
1 Mechanical Engineering, Delhi College of Technology and Management, Palwal, IN
2 Mechanical Engineering, MDU University, Rohtak, IN

Abstract

Welding is practiced in almost all industries. This study is aimed at obtaining a relationship between the values defining input parameters such as welding speed and heat input rate etc. The welding parameters such as the arc current, arc voltage, and welding speed which have the most effect on bead geometry are considered, in this study we have done experimentally to show the optimum value of heat input rate and welding speed, corresponding to which mechanical properties such as tensile strength, hardness and impact strength shows the max. Value within experimental range of input parameter. We used the C 0.30%, Mn 0.7-0.8% and Si 0.2%-0.6%, and at the welding speed taken to 130-198.33 mm/min, then obtain 170-150.44 j/mm ultimate tensile strength, BHN varies 72.3-104.5 and Impact strength 32.26-55.33 joule.

Keywords

Independent Parameters (Welding Speed, Current, Voltage) Dependent Parameter (Tensile Strength, Hardness, Impact Strength).

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B. S. Kholia ¹, Sachin Sharma ¹, Brijesh Kumar ¹, Vineet Rawat ²

Affiliations
1 Botanical Survey of India, NRC Dehradun - 248 195, IN
2 Botanical Survey of India, APRC Itanagar 791 111, IN

Abstract

The symposium on ‘Pteriodological research in India’ was inaugurated by Brig. (retired) B. D. Mishra, the Governor of Arunachal Pradesh. Mishra highlighted the urgent need to explore innovative ways of conservation of nature’s bounty for the welfare of the present and future generations, and called upon researchers to come up with effective and sustainable models of development to mitigate continuous pressure on plants and natural habitats.

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Sachin Sharma ¹, Bhupendra Singh Kholia ¹, Amit Kumar ², Amber Srivastava ¹, Surendra Singh Bargali ³

Affiliations
1 Botanical Survey of India, Northern Regional Centre, Dehradun 248 195, IN
2 Wildlife Institute of India, Chandrabani, Dehradun 248 001, IN
3 Department of Botany, Kumaun University, Nainital 263 001, IN

Abstract

A globally threatened and variegated fern, Pteris tricolor Linden, is listed under different threat categories of the International Union for Conservation of Nature and Natural Resources (IUCN)¹. It has a restricted distribution in far North East India, Myanmar and Yunnan province of China^2,3. Its discovery, however, was accidental; Linden⁴ found this species growing spontaneously in the Malaccan orchid consignment at his nursery in Bruxelles (Brussels), Belgium, and described it as a new species with accurate, spectacularly coloured illustration (also reproduced by Fraser-Jenkins⁵). Its Malaccan origin^4,6–9 is rejected because till date it has not been reported from there. Later, it was postulated that it has more likely come from Myanmar¹⁰, or alternatively from China or NE India; but in all three countries it is a rare species.

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Sachin Sharma ¹, Megha Maheshwari ², Shobha Broor ³, Paramjit Singh ⁴, Rameshwari Thakur ⁵, Anita Chakravarti ⁶

Affiliations
1 PhD Scholar, Department of Microbiology, SGT Deemed to be University, Gurugarm, IN
2 Professor and Head, Dr. Baba Saheb Ambedkar Medical College & Hospital Rohini, Delhi, IN
3 Emeritus Prof., Department of Microbiology, SGT Deemed to be University, Gurugram, IN
4 Professor and Head, Department of Microbiology, MMC, Muzaffarnagar, IN
5 Ex Professor, Department of Microbiology, MMC, Muzaffarnagar, IN
6 Professor and Head, Department of Microbiology, SGT Deemed to be University, Gurugram, IN

Abstract

Introduction: Dermatophytosiscomprise approximately 15-75 % of all the mycological infections. It is common in tropical and subtropical countries including India where high temperature and humidity play an important role in the pathogenesis. Dermatophytes are closely related keratinolytic fungi with the ability to degrade keratin and invade the skin, hair and nails causing dermatophytosis.

Objective: To find out the distribution of various dermatophytefungi responsible for the different clinical types of dermatophyte infections. Methods: KOH mount were prepared from the skin scrapings, nail clippings, and hair bits to look for fungal elements. The specimens were also inoculated on Mycosal media and Sabourauds dextrose agar with chloramphenicol. The dermatophytes were identified on the basis of colony characteristics, lactophenol cotton blue mount, nutritional requirement, temperature tolerance, urease production, and in vitro hair perforation test.

Result: A total of 245 patients were included in the study. Tinea corporis was most common clinical type with 102(41.6%) cases followed by T. facei [15 (6.1%)]. T. corporis + T. cruris [88(35.9%)] was most common mixed clinical type. Out of 245 patients, fungal hyphae were seen in 162(66.1%) samples and the rest 83(33.9%) were negative by KOH mount. In the 162 KOH positive samples, 151(91.5%) samples were culture positive and 11(13.7%) were culture negative. In 83(58.9%) KOH negative samples, 14(8.5%) were culture positive and rest 69(86.3%) were culture negative. A total of 165 samples were culture positive, of which T. mentagraphytes was isolated in 153(92.7%) followed by T. rubrum in 5(3.03%), T. violaceum in 3(1.8%), T. tonsurans in 2(1.2%) and M. canis in 2(1.2%) samples.

Keywords

Dermatophytosis, Fungal Culture, Mycosal Media, Taenia corporis, Trichophyton, Microsporum.

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Sakshi Gupta ¹, Sachin Sharma ²

Affiliations
1 Research Scholar, Department of Management, CT University Ludhiana, Punjab, IN
2 Professor, Department of Management, CT University, Ludhiana, Punjab, IN

Abstract

The behavior of the investor's is influenced by many factors in making investment decisions. The present paper intends to study various demographic variables like (age, gender, education, income level & marital status) which influences the decision making power of the investors through a review of available literature. Behavior finance is based on emotions and cognitive psychology rather than being rational and calculative. Behavior finance is a field of study that helps us to understand how various demographic variables can impact investment decision making. Investment is a very important part of wealth creation and behavior plays a very important role in creating wealth and making investment decisions. Investment is the skill of allocating resources with the expectation of generating an income or profit in the future. Investment decision making means how funds are to be invested in different assets so that it will give maximum possible return to the investors in the coming future. Demographic variables play a very important role in making investment decisions. They also influence the risk tolerance and investment preferences of the investors. So, it is very important to understand the impact of demographics on the decision making power of investors. The present paper reviewed various studies to create an understanding of the impact of demographic variables on investment decision making. The paper concluded that some demographic variables have an impact on investment decision making while others have no impact on investment decision making.

Keywords

Behavior Finance, Investment, Demographic Variables, Investment Decisions

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