A new technique for studying the convergence of Newton’s solver with real life applications

Being able to recognize facial expressions of basic emotions is of great importance to social development. However, we still know surprisingly little about children’s developing ability to interpret emotions that are expressed dynamically, naturally, and subtly, despite real-life expressions having such appearance in the vast majority of cases. The current research employs a new technique of capturing dynamic, subtly expressed natural emotional displays (happy, sad, angry, shocked, and disgusted). Children aged 7, 9, and 11 years (and adults) were systematically able to discriminate each emotional display from alternatives in a five-way choice. Children were most accurate in identifying the expression of happiness and were also relatively accurate in identifying the expression of sadness; they were far less accurate than adults in identifying shocked and disgusted. Children who performed well academically also tended to be the most accurate in recognizing expressions, and this relationship maintained independently of chronological age. Generally, the findings testify to a well-developed ability to recognize very subtle naturally occurring expressions of emotions.

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An Impeccable Solution Procedure of Stochastic Programming Problems by Inserting Scenarios in Deterministic Case

GANIT Journal of Bangladesh Mathematical Society ◽

10.3329/ganit.v36i0.32770 ◽

2017 ◽

Vol 36 ◽

pp. 19-32

Author(s):

Sajal Chakroborty ◽

M Babul Hasan

Keyword(s):

Mathematical Programming ◽

Stochastic Programming ◽

Programming Language ◽

Real Life ◽

Computer Code ◽

Solution Procedure ◽

New Technique ◽

Data Sets ◽

Deterministic Case ◽

A New Technique

In this paper, a new technique has been developed for solving stochastic programming problems by using the idea of decomposition based pricing method. A computer code has also been developed by using a mathematical programming language AMPL and a real life oriented model has been developed. The technique has been demonstrated by analyzing the model for different data sets which has been collected for different scenarios. To our knowledge, this is the first work for solution procedure of stochastic programming problems by using decomposition based pricing method.GANIT J. Bangladesh Math. Soc.Vol. 36 (2016) 19-32

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Relationship Between Artificial Intelligence and the Engagement Variable

10.53902/jpssr.2021.01.000515 ◽

2021 ◽

Vol 1 (3) ◽

Author(s):

García Navarro C

Keyword(s):

Artificial Intelligence ◽

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Real Life ◽

New Technique ◽

Final Conclusion ◽

New Techniques ◽

A New Technique ◽

The One

The purpose of this research is to learn how engagement has been measured so far and what new techniques will be used to measure it in the future. To this end, firstly, there is a review of all the current research in engagement has been conducted, in addition to a review of the current traditional techniques used to measure it. Secondly, the concept of Artificial Intelligence has been analyzed and how one of its most common techniques (Natural Language Processing) is starting to be used as a new technique to measure engagement. Once the traditional and new techniques had been presented, a theoretical differentiation was made between them in order to test the benefits of the latter. The main conclusions were that Artificial Intelligence is increasing its fields of action, specifically in the psychology of organizations. In this field, the new techniques allow companies to save time in the administration and the conduction of surveys. Moreover, the data reported by AI is less biased than the one that comes from surveys, since the data is collected directly and these techniques do not bias the employee when answering the items. As a final conclusion, it is proposed that a study be carried out to compare the results of both techniques in real-life companies.

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A New Technique for Solving Transportation Problems by Using Decomposition-Based Pricing and its Implementation in Real Life

Dhaka University Journal of Science ◽

10.3329/dujs.v64i1.28523 ◽

2016 ◽

Vol 64 (1) ◽

pp. 45-50

Author(s):

Sajal Chakroborty ◽

M Babul Hasan

Keyword(s):

Feasible Solution ◽

Real Life ◽

Optimal Solution ◽

Computer Code ◽

The Other ◽

New Technique ◽

Business Organization ◽

Basic Feasible Solution ◽

Transportation Problems ◽

A New Technique

In this paper, we develop a new technique for solving transportation problems (TP) and develop a computer code by using mathematical programming language AMPL. There are many existing techniques for solving TP problems in use. By these techniques one has to determine initial basic feasible solution at first then improve this solution to determine optimal solution by another method. But this process is very lengthy and time consuming. By our technique we can determine optimal solution directly without determining initial basic feasible solution and optimal solution separately and we hope that this technique will provide an easier way than that of the other methods. We use the idea of decomposition based pricing (DBP) method to develop our technique. To our knowledge, there is no other paper which used DBP to solve TP. We demonstrate our technique by solving real life models developed by collecting data from a business organization of Bangladesh.Dhaka Univ. J. Sci. 64(1): 45-50, 2016 (January)

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