Volume 9 | Issue 7 |

 Abstract

Emotional speech signals research has been boosted in human-machine interfaces due to the availability of high computation capability. There are many systems proposed in the literature to identify the emotional state through speech. Selection of suitable feature sets, design of proper classifications methods and prepare an appropriate dataset are the main key issues of speech emotion recognition systems. The human voice is very versatile and carries a multitude of emotions. Emotion in speech carries extra insight into human actions. Through further analysis, we can better understand the motives of people, whether they are unhappy customers or cheering fans. Humans are easily able to determine the emotion of a speaker, but the field of emotion recognition through machine learning is an open research area. In this proposed project, we perform speech data analysis on speaker discriminated speech signals to detect the emotions of the individual speakers involved in the conversation. We are analyzing different techniques to perform speaker discrimination and speech analysis to find efficient algorithms to perform this task.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Speech, MLP, Emotion, Feature extraction, Feature Selection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Aim : To compare the immediate effect of suboccipital muscle inhibition technique and mulligan bent leg raise technique on hamstring tightness in younger individuals. Background : Hamstring tightness is one of the common faced problem among college students due to their sedentary life style. This influences lumbopelvic rhythm and increases compressive loads on lumbar spine. It also affects sacroilliac joint indirectly . Recently, it has been reported that there is effect using intervention targeting suboccipital muscles and mulligan BLR technique. Procedure : This comparative study was conducted on 48 younger individuals of age group 17-25 fitting in inclusion criteria. They were divided into two group by simple random sampling using lottery method of allocation. Group A received single session of suboccipital muscle inhibition technique for 5 mins. And group B received single session of mulligan BLR technique. Popliteal angle measurement was taken pre intervention and post intervention. Data was analysed using paired t test and unpaired t test using instat software. Results : The result showed that hamstring flexibility in mulligan BLR and suboccipital muscle inhibition increased immediately post intervention within the group and there was a significant difference on comparison between both the groups. Conclusion The single intervention of Mulligan BLR was more effective over suboccipital muscle inhibition technique.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hamstring tightness, Mulligan BLR technique, suboccipital muscle inhibition technique

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Phishing is a typical assault on gullible individuals by making them reveal their one of a kind data utilizing fake sites. The goal of phishing site URLs is to steal the individual data like client name, passwords and on the web banking exchanges. Phishers utilize the sites which are outwardly also, semantically like those genuine sites. As innovation keeps on developing, phishing methods began to advance quickly also, this should be protected by utilizing against phishing systems to distinguish phishing. Machine Learning is an amazing asset used to endeavour against phishing assaults. A novel idea is proposed to detect malicious and non-malicious URL links using Extreme Learning Machine Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Phishing, Extreme Learning Machine, malicious URL, non-malicious URL

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Energy Management System, Microgrid, PSO, Distributed Energy Resources ,Optimization techniques, Energy Storage Systems

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Research Paper

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Creative Commons Attribution 4.0 and The Open Definition

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Research Paper

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Trunk Extensor Endurance, Dynamic Balance, Star Excursion Balance test, Sorenson Test.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As the world is in a stage of upgradation, there is one stinking problem we have to deal with and that is Garbage! In our daily life, we see the pictures of garbage bins being overfull and all the garbage spills out. This leads to the number of diseases as large number of insects and mosquitoes breed on it. A big challenge in the urban cities is solid waste management not only in India but for most of the countries in the world. Hence, such a system has to be build which can eradicate this problem or at least reduce it to the minimum level. Our project provides one of the most efficient ways to keep our environment clean and green here our aim is to build a waste segregation robot which has the ability to detect, pick and separate different kind of waste and dump them into the respective dustbins which will be very easy for to be recycled and keep our surroundings clean.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Waste segregation, Robot.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Surveillance video system framework assumes a huge part in the security frameworks of current urban communities since it can detect suspicious objects and abnormal behavior early instead of the late location by people. Though, the development in surveillance, a gigantic measure of information is produced which make the analytics, storage and retrieval of the information perplexing. Each private or public region today is liked to be under surveillance to guarantee significant degrees of safety. Subsequently the surveillance occurs nonstop, information accumulated thus is immense and requires a great deal of manual work to go during each time of the recorded recordings that is the reason manual perception by security faculty for extended periods isn't plausible nor proficient. There is a requirement for a smart and intelligent framework which can conquer this trouble via computerizing this interaction. It should alarm the security staff when doubtful items in the edge are recognized. It ought to likewise restrain fake alerts. If this is accomplished, crafted by surveillance will be upgraded and the existence of safety recruits can be utilized else-where more workforce is required. In this project, we presented a system which can detect anomalous behavior and alarm the user on the type of anomalous behavior. The model has been trained with videos belonging to anomalous and normal behavioral classes with help of machine learning approach using MATLAB.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Video Processing, Machine Learning, Surveillance System, Intelligent Video Surveillance

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Creative Commons Attribution 4.0 and The Open Definition