Informatics Publishing Limited

Shivika Gupta ¹, Rajesh Prasad ², Sunita Yadav ¹

Affiliations
1 Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad - 201009, Uttar Pradesh, IN
2 Department of Computer Science, Yobe State University, Damaturu, NG

Abstract

Background/Objectives: In the biological sequences, palindromes can create structures that differ from the common structure of non-palindromic sequences. Unfortunately, mutations introduced by evolutionary methods, make it difficult to search the palindromes in DNA sequences. Methods/Statistical Analysis: The mutations occur in DNA sequences with spacer (i.e. set of characters). One version of such algorithms has been intended to search for palindromes with gaps (i.e. spacer) - gapped palindromes. The concept of Dynamic Suffix Array (DSA) is used to propose algorithms to search two classes of gapped palindromes-length constrained and long armed. DSA modifies the previous built suffix arrays when there is insertion and deletion of a new character, due to which efficiency is improved. DNA datasets obtained from National Centre for Biotechnology Information (NCBI) is taken as input. The execution time, palindrome weight and length of palindrome arms and spacer are analysed. Findings: Our proposed algorithms search maximal length constrained and long armed gapped palindromes in DNA sequences efficiently. Time complexity of our proposed algorithms is O(n), where n is input parameters. Also, we compute palindrome weights in the DNA sequences. For length constrained gapped palindromes, our proposed algorithm is compared with existing one. The existing algorithm uses only suffix array. Experimental Observations reveal that by the use of DSA, execution time of our algorithm on different DNA sequences has been improved by maximum 57.89%. It also shows a decrease in the execution time over existing approach, proving our designed algorithm is space efficient, faster and easy to implement. Applications/Improvement: Our algorithms analyze short DNA sequences easily. These algorithms can be executed and tested on standard DNA and datasets with large number of base pairs.

Keywords

Dynamic Suffix Array, Gapped Palindromes, Length Constrained, Long Armed, Palindromes

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Prathma Mittal ¹, Shivangi Garg ¹, Sunita Yadav ¹

Affiliations
1 Department of Computer Science & Engineering, Ajay Kumar Garg Engineering College UPTU, Ghaziabad - 201009, Uttar Pradesh, IN

Abstract

Background/Objectives: Social Networking has been entertaining people for sharing their common ideas and proposals which are analyzed through social relations among them. The problem in the field of social network analysis is the absence of adequate computing resources to handle huge amount of data on World Wide Web. Therefore, users are unable to gather needed information correctly and thereby, the aim is to locate right information at the right time and delivering it to distinct group of people. Methods: Present paper gives the insight into the existing deployment of social network analysis and various ranking techniques which have been devised by various researchers for the social networking capabilities over the network. In order to accomplish the aim, virtual environment can be created for social network analysis. This analysis can be performed by various mining methods such as opinion mining, expert mining, etc. and ranking techniques like object average rating, neighbour variance rating, random rating and many more. Although these techniques optimize the information overload problem accordingly, still there is a need for expert identification. Findings: The future enhancement for social network analysis includes collaborative thinking. Social Network Analysis gathers people having similar interest by creating collaboration among users. This collaboration leads to resource sharing in an efficient manner after the creation of virtual environment. Furthermore, the field of social network analysis may take a turn to link analysis and its various algorithms like Page Rank, Weighted Page Rank and Weighted Page Content Rank which will further help in finding the expert and enhances the information effectively. Application/Improvements: The application to social network analysis is to discover the network of innovators in a regional economy, enhancing dark web analysis and spam behaviour detection. The arduous task of expert identification is an upcoming trend that can be implemented through virtual environment.

Keywords

Expert Mining, Interest Mining, Social Network, Virtual Community, Web 2.0

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Sanjay ¹, H. M. Swamy ¹, Sunita Yadav ¹, Krishan Yadav ¹

Affiliations
1 Department of Agricultural Economics, CCS Haryana Agricultural University, Hisar, Haryana, IN

Abstract

To access the growth and structural changes taking place in pulses area, production, productivity and trade aspects this analysis was carried out for a period of 10 years ranging from 2007-08 to 2016-17. It was done by calculating compound and simple growth statistics and by developing separate transitional matrix for exports and imports. Results regarding area, production, productivity, collective quantity and value of exports exhibited 1.88 percent, 3.63 percent, 1.71 percent,5.45 percent and 3.23 percent rate of compound growth rate respectively. Markov Chain analysis was attempted through linear programming method to assess the transition probabilities for the major pulses export markets of Indian pulses and nations importing pulses to India. The major Indian pulses export markets were categorized as stable market (UAE) and unstable markets (Pakistan & Saudi Arab) based on the magnitude of transition probabilities. The import transition matrix also brought forward Canada and Myanmar as most trusted and Australia & USA as most unstable suppliers of Indian pulses imports. In conclusion, the growth in production (3.63 %) of the world's largest producer was far behind the simultaneous growth in import quantity (17.12%).

Keywords

Markov, Pulses, Export Direction, Structural Change.

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K. Sankara Rao ¹, Yogesh Kumar ¹, Sunita Yadav ¹, Roomi Rawal ¹

Affiliations
1 Department of Entomology, CCS Haryana Agricultural University, Hisar 125004, Haryana, IN

Abstract

A field experiment was conducted at the Research farm of Department of Entomology, CCS Haryana Agricultural University (CCSHAU) Hisar, Haryana to determine the diversity and abundance of insect pollinators on two varieties of sesame HT-1 and HT-2 during 2017 and 2018. A total of 34 insect species belonging to 18 families from four orders were observed. Of these Apis dorsata (4.76 bees/ m²/ 5 min; 26.92% of total flower visitors) followed by A. mellifera (2.34 bees/ m²/ 5 min), M. lanata (2.23 bees/ m²/ 5 min) and A. florea (1.32 bees/ m²/ 5 min) were predominant. Peak activity of the insect visitors was observed at 1000-1200 hr of the day.

Keywords

Sesame, Pollination, Insect Visitors, Diversity, Hymenopterans, Coleopterans, Lepidopterans, Honey Bees, Solitory Bees, Relative Abundance, Peak Activity.

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Sangeeta Tiwari ¹, Sunita Yadav ¹

Affiliations
1 Department of Entomology, CCS Haryana Agricultural University, Hisar 125004, Haryana, IN

Abstract

The laboratory experiments were conducted during 2017-2018 and 2018-2019 to study the efficacy of seed protectants namely fly ash, paddy husk and it’s ash, turmeric powder, silica gel, neem leaves and oil, eucalyptus leaves and oil, canola oil and boric acid against rice weevil Sitophilus oryzae (L.) and lesser grain borer Rhyzopertha dominica (F.) and khapra beetle Trogoderma granarium Everts on stored maize (genotype HQPM 1). The results revealed that neem oil was the most ecofriendly treatment against S. oryzae with 94.76% adult mortality, 12.54x population growth after 6 months and 0% grain damage (pooled data). In case of R. dominica, maximum mortality (91.90%) and 0% grain damage was observed in neem oil but minimum growth (12.44-) value was observed for canola oil. The neem oil was also found effective against T. granarium (92.83% mortality; 0% grain damage), and the least (60.04 larval growth was observed with canola oil. Neem oil showed maximum (80%, 80% and 86.67%) repellency against S. oryzae, R. dominica and T. granarium, respectively which was followed by eucalyptus oil. The neem oil showed 86% germination which was followed by eucalyptus oil (84%). The boric acid showed adverse effects on germination of maize seeds.

Keywords

Sitophilus oryzae, Rhyzopertha dominica, Trogoderma granarium, maize, seed protectants, neem oil, canola oil, eucalyptus oil, damage, growth rate, repellency, germination

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Sudhanshu Bala Nayak ¹, Yogesh ², Sunita Yadav ², K. Sankara Rao ²

Affiliations
1 Centurion University of Technology and Management, Bhubaneswar - 752050, Odisha, IN
2 CCS Haryana Agricultural University, Hisar - 125004, Haryana, IN

Abstract

The collected amount of nectar and pollen by the insect pollinators mainly depends upon the time spent on individual flowers referred to as the foraging speed. An experiment conducted at Department of Entomology, CCS Haryana Agricultural University, Hisar, Haryana evaluated the foraging speed of different insect pollinators on flowers of castor Ricinus communis cv. GCH-7 and DCH-177. Apis cerana F. was observed with maximum foraging speed (6.26 sec/ flower) followed by Apis mellifera L. (5.12 sec/ flower), Apis dorsata F. (4.20 sec/ flower), Apis florea F. (3.74 sec/ flower). The least foraging speed was observed with Xylocopa iridipennis Lepeletier (2.67 sec/ flower). Data taken at different time interval in a day indicated that the peak foraging speed of pollinators is between 10.00- 12.00 hr, while the least one was at 16.00-18.00 hr.

Keywords

Castor, Ricinus communis, pollinators, foraging speed, honey bees, Apis spp., Xylocopa iridipennis, peak activity, foraging behaviour.

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