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Puja 2013
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1) How Code Splitting works with server side ReactJs 2) How webpack works 3) How are we using Isomorphic JavaScript in Paytm 4) Paytm Engineering , #PaytmKaro
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Data Replication is the process of storing data in more than one site or node.It is useful in improving the availability of data. The result is a distributed database in which users can access data relevant to their tasks without interfering with the work of others.Data Replication is generally performed to provide a consistent copy of data across all the database nodes. Traditionally it’s done by copying data from one database server to another, so that all the servers can have the same data. Our implementation, proposes a completely different approach. Instead of copying data from one node to another, in our design , master replicas do not directly communicate between each other and work virtually independently for write queries. For read queries, an independent process consults all the replicas to constitute a quorum. and returns the result if a majority of the machines in the system response with the same result
Talon systems - Distributed multi master replication strategy
Talon systems - Distributed multi master replication strategy
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A real-time speech to text conversion system converts the spoken words into text . Speech-to-Text technology enables us to convert audio to text by applying powerful neural network models. It has a number of applications for users with and without disabilities. Speech-to-text has been used for voice search, help writers boost their productivity, and to provide alternate access to a computer for individuals with physical impairments. Other applications include speech recognition for foreign language learning, voice-activated products for the blind and many familiar mainstream technologies. It is a driving force behind the success of new age voice-controlled speakers like Amazon Echo and Google Home.
System to generate speech to text in real time
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1) How Paytm build SPA using Server Side React. 2) Some Tricks and Tips to make Isomorphic web application faster. 3) How paytm monitors daily performance of Frontend and Backend interfaces to keep application faster and easily debug perf bottlenecks.
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Auto generate customized test suit for your AngularJs.Fundamentals and working principle of generator-yosapy (https://www.npmjs.com/package/generator-yosapy) Generates Jasmine test for your angularJs file, Most of these auto generated custom test cases will actually be passing and it will take file’s code coverage from 0% to 40%-50% without writing a single line of code, ain't that freaking awesome!!!
Auto generate customized test suit for your AngularJs
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Saptarshi Chatterjee
fadsfdsf
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Puja 2013
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1) How Code Splitting works with server side ReactJs 2) How webpack works 3) How are we using Isomorphic JavaScript in Paytm 4) Paytm Engineering , #PaytmKaro
Code splitting with server side react
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Saptarshi Chatterjee
Data Replication is the process of storing data in more than one site or node.It is useful in improving the availability of data. The result is a distributed database in which users can access data relevant to their tasks without interfering with the work of others.Data Replication is generally performed to provide a consistent copy of data across all the database nodes. Traditionally it’s done by copying data from one database server to another, so that all the servers can have the same data. Our implementation, proposes a completely different approach. Instead of copying data from one node to another, in our design , master replicas do not directly communicate between each other and work virtually independently for write queries. For read queries, an independent process consults all the replicas to constitute a quorum. and returns the result if a majority of the machines in the system response with the same result
Talon systems - Distributed multi master replication strategy
Talon systems - Distributed multi master replication strategy
Saptarshi Chatterjee
A real-time speech to text conversion system converts the spoken words into text . Speech-to-Text technology enables us to convert audio to text by applying powerful neural network models. It has a number of applications for users with and without disabilities. Speech-to-text has been used for voice search, help writers boost their productivity, and to provide alternate access to a computer for individuals with physical impairments. Other applications include speech recognition for foreign language learning, voice-activated products for the blind and many familiar mainstream technologies. It is a driving force behind the success of new age voice-controlled speakers like Amazon Echo and Google Home.
System to generate speech to text in real time
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1) How Paytm build SPA using Server Side React. 2) Some Tricks and Tips to make Isomorphic web application faster. 3) How paytm monitors daily performance of Frontend and Backend interfaces to keep application faster and easily debug perf bottlenecks.
ReactJs Optimizations , Making server side react faster
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Auto generate customized test suit for your AngularJs.Fundamentals and working principle of generator-yosapy (https://www.npmjs.com/package/generator-yosapy) Generates Jasmine test for your angularJs file, Most of these auto generated custom test cases will actually be passing and it will take file’s code coverage from 0% to 40%-50% without writing a single line of code, ain't that freaking awesome!!!
Auto generate customized test suit for your AngularJs
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8th International Conference on Soft Computing, Mathematics and Control (SMC 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Soft Computing, Mathematics and Control. The conference documents practical and theoretical results which make a fundamental contribution for the development of Soft Computing, Mathematics and Control. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
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A Coordinate Measuring Machine (CMM) is a precision measuring metrology machine used in manufacturing and quality control processes to precisely measure the geometric characteristics of objects. It operates on the principle of coordinate geometry, employing a probe to collect data points from the surface of an object to determine the dimensions, shapes, and positions of features, such as holes, slots, and surfaces. CMMs are essential tools for ensuring that manufactured parts meet design specifications and quality standards.
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Maher Othman Interior Design Portfolio..
Maher Othman Interior Design Portfolio..
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According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.
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Explore the revolutionary concept of microkernel architecture in operating systems with this comprehensive presentation. From its inception to its contemporary applications, this PowerPoint provides a deep dive into the essence and significance of microkernels. Covering the following key aspects: Understanding Microkernel Architecture: Delve into the core principles of microkernel design, distinguishing it from monolithic kernels. Learn how microkernels streamline the operating system by delegating essential functions to user-space processes. Advantages of Microkernels: Uncover the myriad benefits of microkernel architecture, including increased system stability, modularity, and flexibility. Explore how microkernels facilitate easier maintenance, extensibility, and customization of operating systems. Challenges and Trade-offs: Navigate through the challenges and trade-offs associated with microkernel design, such as performance overhead and complexity. Gain insights into strategies for mitigating these challenges and optimizing microkernel-based systems. Real-world Implementations: Explore notable examples of operating systems built on microkernel architecture, including GNU Hurd, MINIX, and QNX. Understand how these systems leverage microkernels to achieve specific goals in terms of reliability, security, and real-time performance. Whether you're a budding operating system enthusiast or a seasoned developer exploring alternative system architectures, this PowerPoint presentation offers a comprehensive overview of microkernel technology. Download now and embark on a journey to reimagine the future of operating systems with microkernels.
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According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.
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1.
SlideShare is awesome
… Still there are a few things that we might change …
2.
Testing Phase But
we follow continuous integration……!
3.
Pre Submission/Rejection
of Tax documents
4.
3-4 days off
during diwali!
5.
Mandatory trainings ..
6.
Thank you .
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