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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April 21,2020

Mangaluru, Apr 21: An elderly woman from Bantwal taluk in Dakshina Kannada district has been diagnosed with covid-19, a deadly disease caused by coronavirus.

The state health and family welfare department, in its bulletin released on Tuesday morning, confirmed  that 67-year old woman suffering from covid-19.

The woman is said to be a neighbour of the woman from who died last Friday after being infected with coronavirus.

It is suspected that the virus reached elderly woman's body as she was in touch with the deceased.

The woman was admitted to Covid - 19 Hospital, Mangaluru, on the April 18 after she developed breathing problem. It is learnt that she is responding to the treatment

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News Network
July 6,2020

Jul 6: At least 8 lakh Indians may be forced to leave Kuwait as the country's legal and legislative committee has approved a draft expat quota Bill, reported.

The Bill, which states that Indians should not exceed 15 percent of the population, was determined as constitutional by the National Assembly, local media reported.

It will soon be transferred to the respective committee so that a comprehensive plan is created.

Expats account for 30 lakh of Kuwait's 43 lakh population. Indian community constitutes the largest expat community in Kuwait, totalling 14.5 lakh.

The move comes as the number of Covid-19 cases has spiked in the country, with 49,000 cases being reported so far.

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News Network
July 3,2020

Bengaluru, Jul 3: The Karnataka government is allowing select asymptomatic and mildly symptomatic Covid-19 patients to recuperate at home as part of home isolation guidelines, an official said on Friday.

"Only those who are asymptomatic or mildly symptomatic shall be allowed to be in isolation at home," said a health official, highlighting that such patients should be properly oriented on home isolation.

However, before home isolation, a health team will visit the patient's house and assess its suitability for executing home isolation.

Similarly, the patient should be provided with a tele-consultation link for initial triage, daily follow up and during the entire home isolation time.

For a daily update, the patient isolated at home should give a report on his health status to the physician or health authorities.

"The home isolation shall be with the knowledge of the family members, neighbours, treating physician and local health authorities," said the official.

Though home isolation is allowed, it is not a blanket permission for all asymptomatic and mildly symptomatic cases in Karnataka to avail.

"Such cases should have the requisite facility at their residence for self-isolation and also for quarantining the family contacts. A care giver should be available to provide care on 24x7 basis," said the official.

Likewise, the caregiver should also have a regular communication link between him and the hospital during the home isolation.

No patient above 50 years will be allowed to avail home isolation.

"If the patient has the following comorbidities: hypertension, diabetes, obesity, thyroid disease, they shall be well managed and under good clinical control as assessed by medical officer," he said.

However, patients with comorbidities such as kidney diseases, dialysis, heart diseases, stroke, tuberculosis, cancer and HIV cannot avail home isolation.

Likewise, immunity compromised patients and those on steroids also cannot be on home isolation.

Though pregnant women are not allowed to avail this facility, lactating women are allowed after due instruction and assessment.

The Health Department has also issued several other guidelines and protocols for a patient choosing home isolation.

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