Dinesh Kumar

This book provides a comprehensive overview of the fundamental concepts and principles behind modern operating systems. It covers key topics such as process management, memory management, file systems, and I/O systems. With a focus on both theory and practical applications, the book delves into the architecture and design of operating systems, offering insights into scheduling algorithms, concurrency, and resource allocation. Real-world examples and case studies from popular operating systems like Windows, Linux, and macOS are included to illustrate concepts. Designed for beginners, this book simplifies complex topics, making it an essential resource for students and aspiring IT professionals aiming to understand the backbone of modern computing.

Recentemente, a classifica o da extra o de dados encontrou o seu lugar not vel no dom nio da medicina. A aprendizagem autom tica um dom nio emergente na compreens o e an lise de grandes quantidades de dados relativos aos cuidados de sa de. Esta investiga o apresenta a an lise do desempenho de v rias t cnicas de classifica o em conjuntos de dados de cuidados de sa de utilizando a ferramenta de aprendizagem autom tica Weka. Aplic mos diferentes classificadores em quatro conjuntos de dados m dicos para descobrir o melhor algoritmo de classifica o. Com os resultados obtidos, verificou-se que o algoritmo J48 e o algoritmo Random Forest apresentam os resultados mais prometedores entre todos os algoritmos de classifica o.

R cemment, la classification par extraction de donn es a trouv une place remarquable dans le domaine m dical. L'apprentissage automatique est un domaine mergent qui permet de comprendre et d'analyser d' normes quantit s de donn es sur les soins de sant . Cette recherche pr sente l'analyse des performances de diff rentes techniques de classification sur des ensembles de donn es m dicales l'aide de l'outil d'apprentissage automatique Weka. Nous avons appliqu diff rents classificateurs quatre ensembles de donn es m dicales afin de trouver le meilleur algorithme de classification. Les r sultats obtenus montrent que l'algorithme J48 et l'algorithme Random Forest sont les plus prometteurs parmi tous les algorithmes de classification.

Di recente, la classificazione tramite data mining ha trovato una notevole applicazione in campo medico. L'apprendimento automatico un campo emergente nella comprensione e nell'analisi di enormi quantit di dati sanitari. Questa ricerca analizza le prestazioni di varie tecniche di classificazione su set di dati sanitari utilizzando lo strumento di apprendimento automatico Weka. Abbiamo applicato diversi classificatori su quattro set di dati medici per individuare il miglior algoritmo di classificazione. Dai risultati ottenuti, emerso che l'algoritmo J48 e l'algoritmo Random Forest mostrano i risultati pi promettenti tra tutti gli algoritmi di classificazione.

A PhD is the start of the research careers, and these students are the backbone of Universities and research institutions. It is the opportunity for youthful energy and creativity to make global impact and train the future researchers to make a difference. However, the candidature can also be the period of confusion and regret because of lack of structure and understanding. Research Methods for Successful PhD is written to help the PhD students and other young researchers navigate their path through this phase that will give them a direction and purpose. It is a candid conversation and developed over the experience of supervising 30 research students and publishing 400 papers over 20 years. The book recognizes that every student is different and has unique circumstances. It teases out the fundamental questions that we forget to ask, the method of relating to the supervisor, discusses methods to improve communication skills and explains the how to get the work published.

Delving into the development of plasmonic nanosensors to detect toxic heavy metal ions in aqueous media, this book explores a significant and burgeoning branch of nanosensor technology based on plasmon resonance and serves as a guide for conducting research in this area. All types of nanosensors for water treatment and detection of heavy metals are also introduced. Plasmonic Nanosensors for Detection of Aqueous Toxic Metals provides up-to-date data upon which researchers and ecologists, industrialists, and academicians can build to create a variety of plasmonic nanosensors. This book also covers paper-based devices based on plasmon for quantifying toxic metals in water and considers important applications of different plasmon-based nanomaterials—graphene, core-shell, quantum dots, nanoporous membrane, carbon nanotubes, and nanofibers. It is an accessible resource for all those involved in the field of nanosensors and their applications and can pave the way for a better understanding of nanosensor technology with regard to toxic metals. Key features: Gives an in-depth account of the extraordinary optical property at the nanoscale and its use in sensing Offers up-to-date study and practical results for academia, researchers, and engineers working in water treatment and purification Provides sensing application of thematic nanomaterials such as quantum dots and core-shell

This book focuses on the key principles and strategies for developing effective advertising and sales campaigns. It covers topics such as market research, target audience identification, message creation, media planning, sales techniques, and sales team management. The book is designed to help students and professionals in the field of marketing to understand the role of advertising and sales in achieving business goals. With practical examples and case studies, the book provides insights into the latest trends and best practices in advertising and sales management.

CRM enables businesses to build lasting relationships with both new and existing customers, while optimizing corporate efficiency. This book explores the key concepts of customer relationship management and provides practical tools and techniques for managing customer relationships. It also discusses the importance of effective service delivery and how it can be used to build strong customer relationships. With real-world cases and examples, this book is an essential resource for anyone interested in the field of services marketing and customer relationship management.

La pr sente enqu te a t men e dans le but d' tudier le sch ma de distribution des pr ts, le remboursement des pr ts, l' volution des revenus, la consommation, l'investissement en immobilisations, l'emploi des familles b n ficiaires. Pour la pr sente tude, district de Pali au Rajasthan. Les r sultats de l' tude ont r v l que les activit s d' levage taient les activit s les plus populaires pour obtenir l'aide financi re, en particulier pour les buffles sous SGSY. Environ 68, 24 et 8 % des b n ficiaires ont contract un pr t pour l' levage laitier (buffle), l' levage de ch vres et de moutons et la vente de v tements. Les d penses de consommation annuelles par habitant des familles b n ficiaires ont augment de Rs. 3544,73 soit 14,91 % de surconsommation des d penses des familles non b n ficiaires. L'augmentation des jours-homme effectifs annuels employ s par les familles b n ficiaires tait de 83,56 jours-homme par rapport aux familles non b n ficiaires, ce qui repr sentait une augmentation de 30,36 % de l'emploi. L'investissement des familles b n ficiaires a augment de Rs.16 749,00, soit environ 327 % de plus que l'investissement des familles b n ficiaires avant l'aide du SGSY. L'impact global de SGSY sur le d veloppement conomique et social du b n ficiaire a t jug positif.

A presente investiga o foi conduzida com objectivos de estudar o padr o de distribui o de empr stimos, reembolso de empr stimos, altera es no rendimento, consumo, investimento em activos fixos, emprego das fam lias benefici rias. Para o presente estudo, distrito de Pali, Rajasthan. Os resultados do estudo revelaram que as actividades pecu rias eram as actividades mais populares para obter a assist ncia financeira especialmente para os b falos sob SGSY. Cerca de 68, 24 e 8 por cento dos benefici rios obtiveram empr stimos para a produ o de lactic nios (b falos), cria o de caprinos e ovinos e venda de tecidos. Anual per capitadespesa de consumo das fam lias benefici rias aumentou em Rs. 3544,73que foi de 14,91% sobre a despesa de consumo de n o-benefici riosfam lias.aumento anual deos mandatos efectivos das fam lias benefici rias eram de 83,56 mandatossobre as fam lias n o benefici rias, que representaram um aumento de 30,36 por centono empregoO investimento das fam lias benefici rias aumentou em Rs.16749,00 que foi cerca de 327 por cento mais do que o investimento das fam lias benefici rias antes da assist ncia SGSY. O impacto global da SGSY no desenvolvimentoecon mico e social do benefici rio foi considerado positivo.

The present investigation was conducted with objectives to study the pattern of loan distribution, repayment of loans, changes in income, consumption, investment on fixed assets, employment of beneficiary families. For the present study, Pali district of Rajasthan. The findings of the study revealed that livestock activities were the most popular activities for getting the financial assistance, specially for buffalo under SGSY. About 68, 24 and 8 per cent of beneficiaries took loan for dairy (Buffalo), goat & sheep rearing and cloth selling purposes. Per capita annual consumption expenditure of beneficiary families increased by Rs. 3544.73 which was 14.91 per cent overconsumption expenditure of non-beneficiary families. Increase in annual effective mandays employed of beneficiary families was 83.56 mandays over non-beneficiary families, which accounted for 30.36 per cent increase in employmentInvestment of beneficiary families increased by Rs.16749.00 which was about 327 per cent more than the investment of beneficiary families prior to SGSY assistance. The over all impact of SGSY on economic and social development of beneficiary was found positive impact.