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Jaikumar, M.
- Milkfish Culture: Alternative Revenue for Mandapam Fisherfolk, Palk Bay, Southeast Coast of India
Authors
1 Aquaculture Foundation of India, No.4/40. Kabaleswarer Nagar, Neelankarai, Chennai, 600 115, IN
2 Institute for Ocean Management, Anna University, Chennai, 600 025, IN
3 Centre of Advanced Study in Marine Biology, Faculty of Marine Sciences, Annamalai University, Parangipettai, 608 502, IN
4 Department of Zoology, Sri Venkateswara University, Tirupati-517 502, IN
Source
International Journal of Fisheries and Aquaculture Sciences, Vol 3, No 1 (2013), Pagination: 31-43Abstract
Milkfish (Chanos chanos) is one of the most important brackishwater finfish species being cultured in Southeast Asia. Natural milkfish fry occur along the southeast coast of India in fairly large numbers during the months of March-June and October-November. Present study emphasizes the seasonal variation and distribution of milkfish along the southeast coast of India. Milkfish culture has to be economically competitive compared to shrimp and other fish culture which do not contribute to local food supply. Annual total production from the Philippines, Indonesia, and Taiwan has been exceeding 0.5million tons since 2009. The industry has relied on wild-caught milkfish fry, which is unpredictable, until hatchery fry became available in 1987. This paper compares the collection of wild seed near mandapam area as well as production costs in cage. Milkfish eggs (1.1-1.2 mm in diameter) and larvae (3.5 mm at hatching) are pelagic and stay in the plankton for up to 2-3 weeks. This would be a good source of income to coastal fisherfolk in Mandapam.Keywords
Chanos Chanos, Fry, Chinnapalem, EconomicsReferences
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- An Optimal Decision Making System on Road Accident Analysis and Road Safety Enhancements
Authors
1 Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore-641020, Tamilnadu, IN
2 Dept of Computer Applications (UG), Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore-641020, Tamilnadu, IN
Source
Data Mining and Knowledge Engineering, Vol 7, No 10 (2015), Pagination: 333-337Abstract
Determining road accident and provoke of the road occasion in every area is important for road safety enlargements. Earlier spatial immersion procedures did not concede the cause and asperity levels of road accidents. Applying Data-Driven Methods to ROAD Safety (DDMRS) can aid police departments designate resources more effectively. By lime-lighting on risky block, highly visible traffic law enforcement coincidently can diminish crashes. Most studies have focused on crunches after appealing new patrol paths, but few have archived how to progress or change police report time. To drastically reduce fatalities and serious cramps on roads, the ability need to review the appearance and cause of road accidents and classify the hidden information's behind the accidents using previous chronicles. For these analyses the raw data is not sufficient, so implementation of effective data excavating is obligatory.With the use of data mining method such as decision trees will help to discover a best remedy for every scrutiny. The contemplated system familiarizes a road accident classification model. In the scheme, the system first mine associations rules of the crash data, and the detected rules will be build the decision tree named as "SDT" spatial Decision Tree, which is based on the consolidation of association rule and ID3 algorithms. Using these approaches the road accident data can be induced. And finally, the cause for the accident will be recognized for the desired effort.
Keywords
Road Accident Scrutiny, Methodology, SDT.- A Survey of Web Content Mining Based on Information Retrieval
Authors
1 Dept. of Computer Applications (UG), Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore-641020, Tamilnadu, IN
2 Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore-641020, Tamilnadu, IN
Source
Data Mining and Knowledge Engineering, Vol 7, No 5 (2015), Pagination: 197-200Abstract
The cynosure of this paper is to fetch the important significance of Web Content Mining. The paper gives a vision into its functions, methods and its efforts in the current business environment as well in research extracting contents for day to day purpose. It also explicates how to use web content mining and how it plays an entity role by getting precious set of volumes and uses those contents in the judgment making in the cluster situation, literacy and scrutinize.Keywords
Web Content Mining Techniques, Process of Mining.- A Survey on E-Learning Personalization Techniques Using Data Mining
Authors
1 Department of Computer Applications (UG), Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore, Tamil Nadu, IN
2 Department of Computer Science, Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore, Tamil Nadu, IN
Source
Data Mining and Knowledge Engineering, Vol 8, No 9 (2016), Pagination: 274-278Abstract
Web based education System (E-learning) has the tremendous growth in current learning scenario. Such systems utilize several data mining techniques and tools to evaluate the knowledge level of every user. This survey explores the impact of data mining techniques in adaptive e-learning environment. Implementation adaptive E-learning environment with personalized knowledge evaluation is a challenging task. In this paper, we explore different techniques and methods, which used in such environment and modern e-learning environment. Finally, we list the comparisons of these schemes by some criteria for Web based education system. By applying the most appropriate Data mining techniques on personalized e-learning environment will bring better solution, so based on the comparison, our system gives optimum way to achieve high accuracy in e-learning recommendation.
Keywords
E-Learning System, Data Mining and Survey, Fuzzy Student Model, Personalization, Programming.- An Effective Approach on Outstanding Voluntary Service for a Social Cause
Authors
1 Department of Computer Applications (UG), Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore-20, IN
Source
Software Engineering, Vol 9, No 3 (2017), Pagination: 37-42Abstract
Home Guards is a voluntary and honorary organisation like any other service oriented organisations. Maintaining Law and Order, traffic duties and in crime control measures during hostile attacks, natural calamities, etc. They save lives of people and protect property. Home Guards service includes firefighting, rescue, first-aid and communication. They act as first responders. Trained and motivated volunteers are helpful, courteous and compassionate to do selfless service to mitigate others' sufferings. Personnel is recruited from various people to include doctors, lawyers, teachers, employees of public and private sector organisations, college and university students, agricultural and industrial workers and others who give their spare time to their communities. The motive of this work is to identify the skilled and excellent home guards and to predict such optimized and interested home guards in their earlier educational studies using Bayesian theorem. The details of home guards dataset are collected from Tamilnadu Home Guards, Coimbatore District. Nearly 317 records are used in this workout of them 262 are male and 55 are female which is less than 20%. It is able to identify that youngsters are much interested in working as home guards. Another interesting pattern inherited using profession is business owners, students, unemployed and labours are contributing more services as home guards. The Bayesian theorem predicts the home guards outcome based on the activity with respect to the profession.