AIMIT holds national conference on data science and business analytics

May 10, 2012

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Mangalore, May 10: The national level conference on Data Science and Business Analytics was held at AIMIT campus of St Aloysius College on Wednesday.

Denzil Lobo S.J., Director, AIMIT in his inaugural speech spoke about the processing power of our brain and said, “the most sophisticated computers even today cannot compare with the working of brain of an ant in its ability to process and store voluminous amount of data”.

He spoke of future development in computing paradigms and the day would come when our computers will try to mimic the functioning of a human brain and will be self-learning machines. He also stressed on the need of change in learning paradigm and said that students must be encouraged to THINK rather than memorise.

Prof. Santosh Rebello, Dean of the I.T. section, AIMIT, in his introductory remarks and welcome speech spoke about management of “big” data. He said that unstructured data has revolutionized the world and said that if we have to progress, we need to accept and adapt the changes that are taking place. Medha Kudari proposed the vote of thanks.


Sessions

The first session of the day started with the keynote address delivered by Mr. Shekhar, Dept. of M.C.A., Mangalore University. It was on “Machine learning for Vision Applications”. He started his talk by stating that learning is good only when it is efficient; and that whenever changes are made to the system, it should be adaptable and efficient. He illustrated the importance of training and clustering in Machine learning, gave a brief idea of computer vision and started examples with applications. It was concluded that extreme dependence on the machines to reduce the functional capabilities of the person. Finally, Prof. Santosh Rebello mentioned a few insights on Digital space and how to create value out of it.

During the second session papers by the participants were presented. The first paper, titled “Business Intelligence – Achieving success through Data Quality” was presented by Ms. Anusha G. Sabhahit followed by the next paper “Industry Application of Data Mining” by Mr. D M Arvind Mallik. Ms. Kavitha presented the paper “Enhanced Adaptive Item Sequencing using Biserial Correlation and Bayesian Classification” and the paper on “Evolution of statistical software design: Futuristic Agenda” by Ms. Sumitha P V, Mr. Ashok D'souza and Mr. Madhukar S M was presented.

A paper on “Time series data mining algorithm” by Yachana was presented by Ankitha Nayak and Neetha Kripalani Bangera and the paper on “Introduction to Nano-sensors for detecting diabetics and its importance”by Shobha K Bawiskar, Savitha A Lothe, Aqueel Ahmed and Ramesh Manza was presented by Ashwin Kumar and Manish Bharadwaj.

The afternoon session started at 2pm. The keynote address was delivered by Mrs. Rohini Rao, Dept. of M.C.A., Manipal Institute of Technology based on “The role of Domain Ontology in Semantic Data Integration”. She elaborated the definition of Ontology – branch of Metaphysics. She explained about Domain Ontology and how it can be possible to create our own Ontology. She further illustrated on the use of Domain Ontology in data integration with a set of examples.

A paper on “Optimizing Artificial Neural Networks for protein secondary structure prediction” was presented by Mr. Lanwin Lobo. Next, a paper on “A practical approach for implementing Business Intelligence in terms of DSS and KM in socio-economic reality of organization” by Mr. Suman A Lasrado, Mr. Arun D'silva and Mr. Roshan Suvaris was presented which was followed by a tea break for 15 minutes.

A paper on “Incorporating Divide and Conquer approach for clustering large data set with prior K-means algorithm” by Umadevi C and Sowmyapriya G V was presented by Mithun Kumar Shetty and Sujoy K R and the paper on “Analysis on cloud capabilities and adoption using maturity model” by Thanuja G V was presented by Deeksha J Shetty and Devendra Kumar.

The conference came to an end with the valedictory function where the certificates of participation were distributed to the participants.

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News Network
July 19,2020

Mangaluru, Jul 19: Palakkad Division of Southern Railway that has jurisdiction over Mangaluru Railway region has established a business development unit (BDU) to cater to the transportation of various sectors, including non-bulk goods traffic, namely, white goods, finished products, manufactured products, agricultural produce and raw material.

In a statement issued here on Sunday said that the BDU’s mandate was to facilitate seamless interaction between the Railways on the one hand and industry, trade representatives and rail freight customers on the other at appropriate zonal or divisional levels. The unit was also expected to help expeditious clearance of their proposals for freight movement.

Palakkad Divisional Railway Manager Pratap Singh Shami established the BDU in line with the similar unit at the zonal level with other divisions of SR too setting up similar units. Palakkad BDU would work under the supervision of Additional DRM-II CT Sakkeer Hussain while Senior Divisional Operations Manager PL Ashok Kumar was its convener with Senior Divisional Commercial Manager Jerin G Anand, Senior Divisional Mechanical Engineer KV Sundaresan and Senior Divisional Finance Manager AP Sivachandrar were its members.

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News Network
April 11,2020

Tumkur, Apr 11: Despite the nationwide lockdown, BJP MLA from Turuvekere constituency, M Jayaram, was on Friday seen celebrating his birthday with several villagers in Gubbi taluk in Tumkur.

A sizable number of people were seen gathering in Gubbi taluk to celebrate the BJP legislator's birthday.

Meanwhile, scores of people around the country are getting booked for violating the lockdown. In Uttarakhand alone, more than 4500 people have been arrested until Friday for violating the norms of lockdown.

Last month, Prime Minister Narendra Modi had called for a three-week lockdown, urging people to practice social distancing to prevent the spread of coronavirus.

The total number of COVID-19 cases in the country has mounted to 6,761 of which 6039 are active cases, 516 have been cured/discharged/migrated, and 206 deaths have been reported.

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coastaldigest.com news network
May 23,2020

Mangaluru, May 23: Criticising the Karnataka government's fresh protocol for management of Covid-19 as expensive, a prominent physician in the city has demanded its withdrawal.

According to Dr B Srinivas Kakkilaya, the protocol released by the Health and Family Welfare Department on May 15 enlists unnecessary and unconfirmed tests and treatments. 

The protocol has classified Covid-19 cases into three categories and has provided for hospitalisation of all three categories of patients, from asymptomatic to the most severely ill.

In a letter to the government, Dr Kakkilaya said: "The protocol suggests several investigations to be done right on the day of admission, including blood counts, liver and renal function tests, chest X Ray, ECG, CT scan of the chest, and other special investigations, all of which, if done, will cost Rs 25,000 per patient."

"In the coming days when lakhs of patients are likely to be infected with SARS CoV2, is it necessary and feasible to hospitalise and test all these patients at Rs 25,000 per person," he questioned.

The treatment options suggested in the protocol are also surprising, he pointed out. "The protocol recommends choloroquine, azithromycin, oseltamivir, zinc and vitamin C for all patients, from asymptomatic to the severely ill, and also anti coagulant injections for many patients. All these would cost at least Rs 5,000 per patient. For severe cases of Covid-19, many unproven and experimental treatments have been suggested, which are very expensive and highly questionable," Dr Kakkilaya notes.

Therefore, this protocol, he asserted was not evidence based and likely to do more harm than good. He said these unnecessarily expensive tests and allowing private companies to conduct trials on Covid-19 patients is likely to be misused by vested interests and must be immediately withdrawn, and instead, a protocol that is evidence-based, simple and avoiding unnecessary expenses, must be developed.

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