Manish Kumar

""ADYANT"" as the name suggests is a collection of the unique journeys of untold emotions that will make your heart see and feel the pulse of the thirteen talented poets' intense passion and deep feelings. Each of the compositions in this anthology is not just a poetry work, but it is the creator's consciousness to throw light on the untold aspects of society, be it depression, loneliness, women empowerment, the impact of covid-19 on children, love, despair, or hope. Poetry has got the capacity to soothe our emotions and thus these poems are like food for our soul.

The purpose of this study is to suggest an integrated approach of Quality Function Deployment (QFD) and Target Costing (TC). This integrated approach helps to achieve the best optimum solution in an existing product in a systematic way. This book presents a case study of a manufacturing industry that manufactures stainless steel submersible pumps. It proposed an integrated approach of Quality Function Deployment and Target Costing, based on the identify customer's requirements, engineering characteristics and find the substitute of product parts that have highly demanded by customers at the most competitive cost.

The research conducted on the Diagnostic Study of Farmers in relation to Price Spread Analysis, Marketing Patterns, and the Evaluation of Agricultural Diversification.

This book is concerned with presenting a comprehensive review on Orally Disintegrating Films. This includes oral drug delivery and its approaches and evaluation parameters via oral route. This book is the result of fruitful teamwork and collaboration of authors include (Dr.) Sonia Narwal, Associate Professor, Faculty of Pharmaceutical Sciences, PDM University, Bahadurgarh, Haryana.(Dr.)Vipin Saini, Vice Chancellor, M. M. University, Kumarhatti, Solan, Himachal Pradesh as well as (Dr.) Manish Kumar, Professor, M. M.(deemed to be)University, Mullana, Ambala, Haryana. This book is concerned with wide range of significance of oral drug delivery system which may leads to better patient compliance and ultimate clinic out

Multi-rotor Platform Based UAV Systems provides an excellent opportunity for experiential learning, capability augmentation and confidence-building for senior level undergraduates, entry-level graduates, engineers working in government agencies, and industry involved in UAV R&D. Topics in this book include an introduction to VTOL multi-copter UAV platforms, UAV system architecture, integration in the national airspace, including UAV classification and associated missions, regulation and safety, certification and air traffic management, integrated mission planning, including autonomous fault tolerant path planning and vision based auto landing systems, flight mechanics and stability, dynamic modeling and flight controller development. Other topics covered include sense, detect and avoid systems, flight testing, including safety assessment instrumentation and data acquisition telemetry, synchronization data fusion, the geo-location of identified targets, and much more.

True love never dies. It is redefined every time you feel it. When Nish falls in love, little does he know the impact it is going to have on his life. Hailing from conservative backgrounds, love is nothing less than war with the world for the lover and his beloved. Albeit limited communication, they still dare to dream of a life together. But with the pressure of attaining stability in life, he finds it impossible to chase his dreams endlessly. An unassuming man from a modest background, he fights helplessness and challenges thrown at him by life, only to learn precious life lessons. His faith in God gives him the strength to move on and find his calling in writing and poetry. When Love Happens... is a tale of shattered dreams and redemption, of fear and fortitude, and above all, of the indomitable human will.

A comprehensive guide to mastering the most advanced Hadoop 3 conceptsKey FeaturesGet to grips with the newly introduced features and capabilities of Hadoop 3Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystemSharpen your Hadoop skills with real-world case studies and codeBook DescriptionApache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you’ll understand advanced concepts of the Hadoop ecosystem tool. You’ll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You’ll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you’ll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you’ll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you’ll be equipped to tackle a range of real-world problems in data pipelines. What you will learnGain an in-depth understanding of distributed computing using Hadoop 3Develop enterprise-grade applications using Apache Spark, Flink, and moreBuild scalable and high-performance Hadoop data pipelines with security, monitoring, and data governanceExplore batch data processing patterns and how to model data in HadoopMaster best practices for enterprises using, or planning to use, Hadoop 3 as a data platformUnderstand security aspects of Hadoop, including authorization and authenticationWho this book is forIf you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. You’ll also find this book useful if you’re a Hadoop professional looking to strengthen your knowledge of the Hadoop ecosystem. Fundamental knowledge of the Java programming language and basics of Hadoop is necessary to get started with this book.

Build next-generation Artificial Intelligence systems with JavaKey FeaturesImplement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlibCreate self-learning systems using neural networks, NLP, and reinforcement learningBook DescriptionIn this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learnManage Artificial Intelligence techniques for big data with JavaBuild smart systems to analyze data for enhanced customer experienceLearn to use Artificial Intelligence frameworks for big dataUnderstand complex problems with algorithms and Neuro-Fuzzy systemsDesign stratagems to leverage data using Machine Learning processApply Deep Learning techniques to prepare data for modelingConstruct models that learn from data using open source toolsAnalyze big data problems using scalable Machine Learning algorithmsWho this book is forThis book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.