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Desempenho comparativo dos implementos puxados por trator

Desempenho comparativo dos implementos puxados por trator

Rahul Kumar Yadav; Naveendra Kumar Patel; Ankit Baliyan

Edicoes Nosso Conhecimento
2024
pokkari
O sistema de lavoura com implementos de tra o com sistema de lavoura com rotavator. As diferentes combina es de sistemas de lavoura selecionadas para estudo foram a lavoura, a lavoura + cultivo, a lavoura + gradagem de discos, a lavoura + rota o, o funcionamento simples do rotavator e o funcionamento duplo do rotavator. O estudo mostrou que a capacidade de campo aumentou com o aumento da velocidade de opera o. A capacidade de campo mais elevada foi obtida velocidade m xima de 5,21 kmph. A maior efici ncia de campo foi obtida na rea de 20 60 m . A combina o de lavoura deu o maior ndice de desempenho de 83,34% e consumo de energia de 586,73 MJ/ha, seguida pela opera o com rotavator, que observou um ndice de desempenho de 25,75 e consumo de energia de 761,6 MJ/ha. Em compara o com outras combina es de sistemas de lavoura, considerando o ndice de desempenho de campo e a necessidade de energia, a combina o de opera es de rotavador duplo foi considerada a combina o mais adequada de sistema de lavoura para a prepara o da cama de sementes.
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Vergleich der Leistung von traktorgezogenen Anbaugeräten

Vergleich der Leistung von traktorgezogenen Anbaugeräten

Rahul Kumar Yadav; Naveendra Kumar Patel; Ankit Baliyan

Verlag Unser Wissen
2024
pokkari
Die traktorgezogenen Anbauger te wurden mit dem Bodenbearbeitungssystem Rotavator eingesetzt. F r die Studie wurden verschiedene Kombinationen von Bodenbearbeitungssystemen ausgew hlt: Pfl gen, Pfl gen + Grubbern, Pfl gen + Scheibeneggen, Pfl gen + Rotavieren, einfacher Betrieb des Rotavators und doppelter Betrieb des Rotavators. In der Studie wurde festgestellt, dass die Feldkapazit t mit zunehmender Arbeitsgeschwindigkeit anstieg. Die h chste Feldkapazit t wurde bei einer H chstgeschwindigkeit von 5,21 km/h erreicht. Die h chste Feldeffizienz wurde in der Parzelle 20 60 m erzielt. Die Kombination aus Pfl gen ergab den h chsten Leistungsindex von 83,34 % und einen Energieverbrauch von 586,73 MJ/ha, gefolgt vom Rotavatorbetrieb mit einem Leistungsindex von 25,75 und einem Energieverbrauch von 761,6 MJ/ha. Im Vergleich zu anderen Kombinationen von Bodenbearbeitungssystemen erwies sich unter Ber cksichtigung des Leistungsindexes und des Energiebedarfs die Kombination von Doppelgrubberverfahren als die am besten geeignete Kombination von Bodenbearbeitungssystemen f r die Saatbettbereitung.
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Comparaison des performances des outils tirés par un tracteur

Comparaison des performances des outils tirés par un tracteur

Rahul Kumar Yadav; Naveendra Kumar Patel; Ankit Baliyan

Editions Notre Savoir
2024
pokkari
Le syst me de travail du sol tir par le tracteur est un syst me de travail du sol par rotavator. Les diff rentes combinaisons de syst mes de travail du sol s lectionn es pour l' tude taient le labour, le labour + la culture, le labour + le hersage disques, le labour + le rotavator, l'op ration simple du rotavator et l'op ration double du rotavator. L' tude a montr une augmentation de la capacit du champ avec l'augmentation de la vitesse de travail. La capacit du champ la plus lev e a t obtenue la vitesse maximale de 5,21 km/h. L'efficacit du champ la plus lev e a t obtenue la vitesse la plus lev e de 5,21 km/h. L'efficacit la plus lev e a t obtenue dans la parcelle de 20 60 m . La combinaison de labour a donn l'indice de performance le plus lev de 83,34 % et la consommation d' nergie de 586,73 MJ/ha, suivie par l'op ration de rotavator qui a observ un indice de performance de 25,75 et une consommation d' nergie de 761,6 MJ/ha. Compar e d'autres combinaisons de syst mes de travail du sol, en tenant compte de l'indice de performance du champ et des besoins en nergie, la combinaison des op rations de double rotavator s'est av r e tre la combinaison de syst mes de travail du sol la plus appropri e pour la pr paration du lit de semences.
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Prestazioni comparative degli attrezzi trainati dal trattore

Prestazioni comparative degli attrezzi trainati dal trattore

Rahul Kumar Yadav; Naveendra Kumar Patel; Ankit Baliyan

Edizioni Sapienza
2024
pokkari
Il sistema di lavorazione del terreno trainato dal trattore stato affiancato da un sistema di lavorazione con rotavatore. Le diverse combinazioni di sistemi di lavorazione del terreno selezionate per lo studio sono state aratura, aratura + coltivazione, aratura + erpicatura a dischi, aratura + rotavatura, funzionamento singolo del rotavatore e doppio funzionamento del rotavatore. stato osservato che la capacit di campo aumenta con l'aumentare della velocit di lavoro. La capacit di campo pi elevata stata ottenuta alla velocit massima di 5,21 km/h. L'efficienza di campo pi elevata stata ottenuta nell'appezzamento di 20 60 mq. La combinazione di aratura ha fornito il pi alto indice di rendimento dell'83,34% e un consumo energetico di 586,73 MJ/ha, seguita dal funzionamento del rotavatore, che ha osservato un indice di rendimento di 25,75 e un consumo energetico di 761,6 MJ/ha. Rispetto alle altre combinazioni di sistemi di lavorazione del terreno, considerando l'indice di rendimento del campo e il fabbisogno energetico, la combinazione di operazioni con doppio rotavatore risultata la pi adatta per la preparazione del letto di semina.
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Comparative Performance of Tractor Drawn Implements

Comparative Performance of Tractor Drawn Implements

Rahul Kumar Yadav; Naveendra Kumar Patel; Ankit Baliyan

Lap Lambert Academic Publishing
2024
pokkari
The tractor drawn implements tillage system with rotavator tillage system. Different combinations of tillage system selected for study were ploughing, ploughing + cultivating, ploughing + disc harrowing, ploughing + Rotavating, Single operation of rotavator and double operation of rotavator. The study it was observed that the showed an increase in the field capacity with the increase in the speed of operation. the highest field capacity was of obtained at the maximum speed of 5.21 kmph. The highest field efficiency was obtained in the plot 20 60 sq. m. area combination of ploughing gave the highest performance index of 83.34 % and energy consumption 586.73 MJ/ha followed by rotavator operation observed performance index 25.75, and energy consumption 761.6 MJ/ha. Compared to other combinations of tillage systems by considering field performance index and energy requirement the combination of double rotavator operations was found to be most suitable combination of tillage system for seed bed preparation.
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Seek & Find

Seek & Find

Rahul Kumar Gautam

Bluerosepublisher
2021
pokkari
Faced with an identity crisis and mental struggle right from his childhood to his youth, Kabeer set out to seek true love, identity and spirituality in his life. In his desperation, he made a run to places of worship of all major faiths, naively performed religious rituals and even imbibed new-age spiritual practices- But Alas true peace continued to elude him and he remained enslaved to his mental struggle. Just when it looked like it was the end of the road, his life got transformed and healed from inside. Join Kabeer on his quest of true love, identity and spirituality.
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All You Wanted to Know About Your Spine

All You Wanted to Know About Your Spine

Rahul Kumar Singh

Pencil (One Point Six Technologies Pvt Ltd)
2021
pokkari
The purpose of presenting this book is to compile all the disorders related to the spine at one point for a better understanding of the readers. It explains all the disorders related to the spine, their causes, risk factors, symptoms, diagnosis, and suggestive treatment. This book is for everyone who's struggling to get rid of the back problem and other disorders related to the spine. The book also highlights the importance of physical exercise, yoga/asana, and diet & regimen in managing Spinal disorders. It also elaborates on the role of homoeopathy in treating spinal disorders. Dr. Rahul K. Singh is a registered homeopathic physician in Delhi, a graduate of the "Bharati Vidyapeeth Homoeopathic Medical College", Pune, and post-graduated from ""British Institute of Homoeopathy"", London.
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JEE Main Test Drive (EditionVIII)

JEE Main Test Drive (EditionVIII)

Rahul Kumar; Pooja Yadav; Anurag Chaudhary

Arihant Publications India Limited
2023
nidottu
BOOK STRUCTURE  Section IIII: 15 Practice Sets BOOK FEATURES  Designed as per the latest prescribed syllabus  Divided into 3 Sections: Section 1 (Foundation Builders) 3 Practice Sets Section 2 (Mastery Builders) 10 Practice Sets Section 3 (Achievers Section 2 Practice Sets  All questions containing explanations through QR Code  Provides 2023 JEE Main Exam analysis in a SubjectwiseChapterwise manner WHY THIS BOOK?  A revised edition as per the latest JEE Main paper pattern  Contains in detailed syllabus as per Class 11 th & 12 th  Crafted as a complete practice tool to ace the JEE Main 2024 Exam TABLE OF CONTENT: SECTION I (Foundation Builders) Practice Set 13, SECTION II (Mastery Builders) Practice Set 413, SECTION III (Achiever's Section) Practice Set 14 & 15
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Business Organisation And Management (Edition2024)

Business Organisation And Management (Edition2024)

Rahul Kumar Das

Double 9 Books LLP
2024
nidottu
Business Organisation and Management - A Textbook for B. Com/B.B. A/M. Com/M.B. A courses has been meticulously crafted following the NEP pattern. It offers easy-to-digest content descriptions, ensuring clarity of thought and a lucid presentation. Each concept is complemented with relevant diagrams and images, enhancing understanding and engagement. At the end of each chapter, a comprehensive summary is provided, facilitating a conclusive understanding of the material. Additionally, students will find unit-wise and topic-wise questions that cater to their convenience, ensuring thorough preparation and mastery of the subject matter. This textbook stands out as distinctly superior to others in the market, offering a holistic and engaging learning experience.
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Improving Classifier Generalization

Improving Classifier Generalization

Rahul Kumar Sevakula; Nishchal K. Verma

SPRINGER VERLAG, SINGAPORE
2022
sidottu
This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repository to predictive maintenance problems and cancer classification problems. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce deep learning in Fuzzy Rule based classifiers (FRCs). This volume will serve as a useful reference for researchers and students working on machine learning, health monitoring, predictive maintenance, time-series analysis, gene-expression data classification.
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Improving Classifier Generalization

Improving Classifier Generalization

Rahul Kumar Sevakula; Nishchal K. Verma

SPRINGER VERLAG, SINGAPORE
2023
nidottu
This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repository to predictive maintenance problems and cancer classification problems. The book specifically provides a detailed tutorial on how to approach time-series classification problems and discusses two real time case studies on condition monitoring. In addition to describing the various aspects a data scientist must consider before finalizing their approach to a classification problem and reviewing the state of the art for improving classification generalization performance, it also discusses in detail the authors own contributions to the field, including MVPC - a classifier with very low VC dimension, a graphical indices based framework for reliable predictive maintenance and a novel general-purpose membership functions for Fuzzy Support Vector Machine which provides state of the art performance with noisy datasets, and a novel scheme to introduce deep learning in Fuzzy Rule based classifiers (FRCs). This volume will serve as a useful reference for researchers and students working on machine learning, health monitoring, predictive maintenance, time-series analysis, gene-expression data classification.
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Voie humide pour les hexaferrites de strontium: caractérisation et propriétés

Voie humide pour les hexaferrites de strontium: caractérisation et propriétés

Rahul Kumar Mudsainiyan

Editions Notre Savoir
2025
nidottu
Les hexaferrites de type M MFe12O19 (M tant Ba, Sr ou Pb) sont utilis s sous forme massive dans de nombreux appareils lectriques et lectroniques. Le d veloppement de mat riaux de haute qualit , peu co teux et faibles pertes, pr sentant des propri t s structurelles, magn tiques et lectriques appropri es, constitue un d fi permanent pour la recherche. Les propri t s magn tiques et lectriques sont sensibles aux conditions de traitement et la nature de la substitution (partielle) du Fe par d'autres ions divalents, trivalents, t travalents ou divalents-t travalents. Dans le pr sent travail, des hexaferrites de type M dop s au Co-Zr pur ont t synth tis s par des m thodes humides utilisant l' thyl ne glycol comme combustible, et leurs propri t s structurelles et magn tiques ont t tudi es.
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