Bo Wang Livres

Implement neural search systems on the cloud by leveraging Jina design patterns Key Features:Identify the different search techniques and discover applications of neural search Gain a solid understanding of vector representation and apply your knowledge in neural search Unlock deeper levels of knowledge of Jina for neural search Book Description: Search is a big and ever-growing part of the tech ecosystem. Traditional search, however, has limitations that are hard to overcome because of the way it is designed. Neural search is a novel approach that uses the power of machine learning to retrieve information using vector embeddings as first-class citizens, opening up new possibilities of improving the results obtained through traditional search. Although neural search is a powerful tool, it is new and finetuning it can be tedious as it requires you to understand the several components on which it relies. Jina fills this gap by providing an infrastructure that reduces the time and complexity involved in creating deep learning-powered search engines. This book will enable you to learn the fundamentals of neural networks for neural search, its strengths and weaknesses, as well as how to use Jina to build a search engine. With the help of step-by-step explanations, practical examples, and self-assessment questions, you'll become well-versed with the basics of neural search and core Jina concepts, and learn to apply this knowledge to build your own search engine. By the end of this deep learning book, you'll be able to make the most of Jina's neural search design patterns to build an end-to-end search solution for any modality. What You Will Learn:Understand how neural search and legacy search work Grasp the machine learning and math fundamentals needed for neural search Get to grips with the foundation of vector representation Explore the basic components of Jina Analyze search systems with different modalities Uncover the capabilities of Jina with the help of practical examples Who this book is for: If you are a machine learning, deep learning, or artificial intelligence engineer interested in building a search system of any kind (text, QA, image, audio, PDF, 3D models, or others) using modern software architecture, this book is for you. This book is perfect for Python engineers who are interested in building a search system of any kind using state-of-the-art deep learning techniques.

Focusing on the influential contributions of M.A.K. Halliday, this introduction provides accessible insights into his life and seminal works. It serves as an essential resource for both scholars and students in the fields of Linguistics and Applied Linguistics, making complex concepts understandable for a broader audience. The book effectively bridges the gap between Systemic Functional Linguistics (SFL) and those unfamiliar with the discipline, highlighting Halliday's impact on the study of language.

Focusing on the intricacies of poetry translation, the book examines the translation of Tagore's 'Stray Birds' into Chinese through the lens of Systemic Functional Linguistics (SFL). It highlights the decision-making processes involved in translation and offers insights into how readers can enhance their comprehension of translated literature in both English and Chinese, enriching their appreciation of the original work.

Focusing on the application of Systemic Functional Linguistics (SFL), this book delves into the translation of Chinese drama, specifically examining Lao She's Teahouse and its two English versions. It offers a theoretical exploration of how SFL interacts with the nuances of drama translation, providing insights into linguistic choices and cultural contexts. Through this analysis, it highlights the complexities and challenges faced in conveying the original work's essence in translation.

This book offers a comprehensive account of Systemic Functional Translation Studies (SFTS) - a research area that applies Systemic Functional Linguistics (SFL) to study translation, and to relate researches by scholars in the community of both SFL and translation studies.

As an essential component of the ballast track, the ballast layer provides functionali-ties such as drainage, load distribution, as well as strength and stability for the rail-way track. The mechanical behaviors of ballast track such as its permanent settle-ment, breakage, force propagation and void ratio are in a great extent influenced by the form distribution of ballast stones. Its reasonable design will greatly improve the mechanical behaviors, and thus prolong the maintenance cycle of ballast track, or reduce the number of ballast stones needed for construction. This dissertation focuses on proposing optimized ballast stones in the ballast aggre-gate in regard to their geometrical forms. As the first step, a ballast random form gen-erator, which is designed to generate ballast form databases with different form dis-tributions, is proposed. 15 databases are created for further usage. Afterwards, Dis-crete Element Method (DEM) based simulations are performed to investigate the mechanical behaviors of ballast aggregates. The simulation model is established based on a box test, whose result is presented firstly. Establishment and calibration process of the model are expatiated afterwards. A parameter study regarding to cru-cial modeling parameters is also performed. Using the validated parameters and the 15 generated form databases, DEM simulation models with different form distribu-tions of ballast stones in the ballast aggregate are proposed. Simulative methods to quantify the mechanical behaviors are elaborated. Based on the obtained results, the interrelation between mechanical behaviors of ballast aggregate and the form effect on mechanical behavior of the ballast aggregates are studied. The optimized ballast aggregate is proposed based on the findings stated above. The proposed optimized ballast aggregate is expected to be a reference for construc-tion of ballast track in real world. The modeling technic and the calibrated modeling parameters can be used for optimization for different railway operating programs.

Der Prozessmechanismus der Meeresbacillus-Fermentation zur Herstellung mariner alkalischer Protease ist sehr komplex, mit hoher Nichtlinearität, zeitlichen Schwankungen und Kopplungen, und die Schlüsselparameter, die die Fermentationsqualität während des Fermentationsprozesses direkt widerspiegeln, lassen sich physikalisch nur schwer direkt messen Instrumente in Echtzeit, und es ist schwierig, die Anforderungen einer dynamischen Echtzeitregulierung der marinen alkalischen Protease zu erfüllen. Daher kann die Untersuchung der Online-Erkennungsmethode von Schlüsselparametern im Fermentationsprozess und der dynamischen Steuerungsmethode der Fütterung die groß angelegte Produktion mariner alkalischer Protease-bezogener Industrien fördern und so die Kosten senken und einen höheren sozialen Nutzen erzielen. Dieses Buch ist nicht nur eine Monographie wissenschaftlicher Forschungsergebnisse, sondern auch eine neue wirksame Erkennungs- und Kontrollmethode für den biologischen Fermentationsprozess. Darüber hinaus hofft man, dass es den Lesern Einblicke in die theoretische Forschung und technische Anwendung verschaffen und das Kontrollniveau und die Messgenauigkeit aller Arten nichtlinearer Systeme verbessern kann.

Im Vergleich zu glatten Oberflächen können mikrostrukturierte Riblet-Oberflächen die Wandschubspannung in turbulenter Strömung bis zu 10% reduzieren. Im Rahmen dieser Arbeit wird das Fertigungsverfahren Profilschleifen zur Herstellung von Riblet-Strukturen mit einer Rillenbreite zwischen 20 µm und 120 µm untersucht. Zur Erzeugung von den für das Riblet-Schleifen erforderlichen Mikroprofilen wird ein Abrichtprozess mit Profilshiftkinematik für keramisch gebundene Schleifwerkzeuge neu entwickelt. Durch systematische Untersuchungen zu dem Einfluss des Profilschleifprozesses auf die Riblet-Strukturausbildung werden die Prozessgrenzen zur herstellbaren Strukturgröße und -qualität ermittelt. Weitere Untersuchungen mit metallischen Bindungssystemen zeigen Möglichkeiten zur Verringerung der herstellbaren Strukturdimension auf. Die Wirkung der geschliffenen Riblet-Strukturen zur Reibungsreduzierung wird anhand von Öl- und Gitterwindkanaluntersuchungen nachgewiesen.