Volume 9 | Issue 5 |

 Abstract

Speech Emotion Recognition is the act of attempting to recognize human emotion from the input audio file and the associated affective states from speech. This is capitalizing on the fact that voice often reflects underlying emotion through tone, frequency and pitch. Here we use python modules and machine learning algorithms for detecting the emotion from the audio file. Here we are predicting the emotion and display it to the user on the screen. We have mainly three different steps to detect the emotion and they are like training the model, extracting feature sets and providing input test audio. We use machine learning techniques like Multilayer perceptron Classifier (MLP Classifier) which is used to categorize the given data into respective groups which are non-linearly separated. We use python modules like librosa, pyaudio, sklearn, numpy to detect the emotion from audio file.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Feature subset extraction, MLP Classifier, Emotion recognition.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ambrisentan is an orally active selective type A endothelin receptor antagonist indicated for the treatment of pulmonary arterial hypertension. The present investigation aimed at enhancing the oral bioavailability of Ambrisentan by improving its solubility and dissolution rate by preparing nanosuspensions. The nanosuspensions of Ambrisentan were prepared using emulsification solvent evaporation method. Various formulation as well as process parameters were optimized in order to achieve desirable size and saturation solubility. Characterization of the prepared nanosuspension was done with respect to particle size, zeta potential, saturation solubility, dissolution rate, morphology study (SEM), in-vitro dissolution study. The results indicated that increase in the stabilizer concentration of PEG 6000 shows 99.65% of drug release, so the formulations prepared by using PEG 6000 releases more drug release at the end of 30mins than the other stabilizers and follows first order kinetics. Nanosuspension seems to be a promising approach for bioavailability enhancement because of the simple method of its preparation and its universal applicability.

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 Keywords

Ambrisentan, PVP K30, zeta potential, SEM, solubility

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 Abstract

Centrifugal pumps are probably among the most often used machinery in industrial facilities as well as in common life. Centrifugal pump is widely used as a universal machine, so improving performances of the centrifugal pump is important for energy saving. With the development of computational fluid dynamics (CFD), numerical simulation has become the main method for performance prediction and structure design of the pump. The impeller is the most important part in a centrifugal pump since it is the place where the mechanical energy is converted into hydraulic energy. Hence the parameters related to the impeller are directly affecting the performance of the pump. Parameters are the blade exit angle, Blade inlet angle, blade diameter etc. if it is not correctly designed, it can negatively affect the head and the hydraulic efficiency of the pump. The previous research suggests that a larger blade angle is suitable. Also, exit blades angle variation contributes more in the performance. Compared with the values of theoretical and CFD simulation, the solution of the final design point exhibits a good consistency.

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 Keywords

Centrifugal Pump, Computational fluid dynamics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Designing a concrete mix for some particular aspects of durability is relatively simple if a correct choice of the constitute materials is made. Adopting carefully designed concrete mixtures in the actual construction is no guarantee that the structures will be durable up to its designed life cycle. The first obstacle is non-homogeneity of the concrete in various parts of the structures caused by insufficient or lack of vibration due to carelessness of the workers or improper supervision. This report illustrates how a combination type SCC, made with a Viscosity Modifying Admixtures in an aqueous solution may be utillised efficiently for constructing durable structure with readily available local material and labour and present several international projects where SCC has been used with success.Also this report illustrates the study carried out on determination of suitable methods for assessing SCC at site. This work is based on the method for assessment of key properties of SCC like flow, passing ability, filling ability and segregation resistance. Final aim of this work is to decide and proposed a test method, which gives fast and accurate assessment of fresh SCC properties. A combination of Slump-flow test and L-Box test has been found suitable for workability assessment of SCC at job sites.

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 Keywords

scc,concrete,slump, test, viscosity,etc

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Earthquake around the world is one of the reasons liable for the damage to life and property in hefty numbers. In order to lessen such menaces, it is paramount to integrate norms that will enrich the seismic performance of the structures. Seismic waves will be influxes of energy that move through the Earth's layers, and are an aftereffect of earthquakes, volcanic emissions, enormous avalanches and huge man-made detonations that give out low-recurrence acoustic energy. Several other common and anthropogenic sources make low-plentifulness waves usually indicated as surrounding vibrations. Seismic waves are studied by geophysicists called seismologists. Seismic wave pitches are charted by a seismometer, hydrophone (in water), or accelerometer. Seismic Retrofitting is the amendment of pre-existing structures to make them more resilient to seismic movement, ground motion, or soil failure due to tremors. Seismic retrofitting is the change of prevailing structures to make them increasingly resistant to seismic movement, ground motion, or soil failure because of earthquakes. With better understanding of seismic attention on structures and with our current encounters with massive earthquakes close to urban centres, the need of seismic retrofitting is all around documented. Techniques such as RC jacketing which is addition of steel reinforcement in existing columns to increase its bearing capacity and hence protect it from seismic activity. Shear walls are constructed from the ground up to increase the seismic resistance of a building while not disturbing its aesthetic view.

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 Keywords

Seismic retrofitting, RC jacketing, earthquake resistant structures, seismic isolator, seismic performance, rehabilitation, strengthening, restoration, remodelling, repairing, seismic evaluation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In India, the deaths of young adults due to heart related problems has become a pressing issue. The reason behind the high fatality rate of this issue is the unpredictability of heart attacks, and how time is of the essence. We could therefore, reduce the fatality rate here if somehow the person was warned beforehand about the possibility of heart related ailments, and get a check up as a preemptive measure, before the situation even gets more serious. A machine learning model which has been trained with data of patients suffering from cardiovascular disease, and those not suffering from it, has been implemented to tackle this issue.

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 Keywords

Heart, Disease, Prediction, Machine, learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There has been an increase in sale of two-wheeler vehicles in India in recent past due to fast economic growth. India is the second largest producer of two-wheelers in the world. Majority of Indians, especially the youngsters prefer motorbikes rather than cars. In India every month nearly 3-lakh motor cycles are sold. It is the world's second largest manufacturer of motorcycles after China and there are eight key players in the Indian markets. Understanding consumer behavior in the present scenario is extremely important as it is no longer a simple task. Unless a marketing manager has the knowledge of the factors that affects consumers purchasing patterThis study discusses the changes in the two wheeler markets and buying motives of two wheeler buyer. This study discusses the changes in the two wheeler markets and buying motives of two wheeler buyers.

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 Keywords

Demographic, Psychographic, Consumer attitude, Consumer Preferences.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The kitchen is very important place in a house. Safety factor is the main aspect that must be taken into account during the activity in the kitchen. The existence of gas leakage, uncontrolled fire and excessive temperatures must be quickly identified and addressed. The purpose of this research is to make prototype of kitchen security system using Internet of Things. The system is designed using 4 types of sensors. IR Flames sensor is used to detect fire, MQ2 sensors are used to detect gas leakage, and Load cell is used to detect level of grocery items. The sensors output are then connected to the Arduino which will control the relay. The relay acts as a fan switch in the event of a gas leak, uncontrolled fire and excessive temperature increase. Under these conditions, Arduino will also turn on the alarm and the led, and send SMS to the user by GSM module

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ESP32, GSM 800L, Load cell, MQ2, IoT, Arduino.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

It goes without saying that media, irrespective of its various forms, has created a significant impact on the lives and lifestyles of the public. As the world is still struggling with COVID-19, it becomes increasingly important that we learn to live with it. Media is considered to be a magic multiplier of information dissemination (Wilbur Schramm, 1964) and so, in such a crisis situation, the media assumes an important role. The aim of this study is to explore the impact of media in bringing certain changes in hygiene habits of urban youth due to the COVID-19 pandemic. In this study, a survey of 200 participants (18-24 years of age) residing in different cities of West Bengal was carried out. Specifically, this paper argues that media vehicles are important factors that contribute in disseminating instructions and government guidelines of preventive measures in the fastest possible way. The results support the conclusion that during the COVID-19 crisis, the media has played a significant role in spreading awareness, preventing infection, changing the hygiene habits of the youth at large like never before.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, youth, West Bengal, hygiene habits, lifestyle

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Malaria is a disease which is transmitted to people by the bites of female Anopheles mosquitoes. The major symptoms of malaria are fever, tiredness, vomiting, headaches. If it is very severe it can cause the patient to go to coma or cause death. It is preventable and curable. With the normal malaria detection methods, requires a lot of effort in differentiating infected and uninfected cells. Typically, it is really difficult to carry out this process in rural areas. Machine Learning is application of Artificial intelligence which that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly. In this paper we have modelled using four models basic CNN , SVM , and other two models with deep transfer learning . The pre trained with image augmentation gives an accuracy of 96.1 %.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning , SVM , CNN , deep transfer learning

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Creative Commons Attribution 4.0 and The Open Definition