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"This book is both a course book and a monograph. The first chapter briefly introduces the history, background and technology of EPM. In the second chapter, the concept of transport phenomena is concisely introduced and in the third chapter the essential part of magnetohydrodynamics is transcribed and readers are shown that the concept of transport phenomena does not only apply to heat, mass and momentum, but also magnetic field. The fourth chapter describes electromagnetic processing of electrically conductive materials such as electromagnetic levitation, mixing, brake, and etc., which are caused by the Lorentz force. The fifth chapter treats magnetic processing of organic and non-organic materials such as magnetic levitation, crystal orientation, structural alignment and etc., which are induced by the magnetization force. This part is a new academic field named magneto-science, which focuses on the development of super-conducting magnets."

"Pengolahan data transient elektromagnetik bertujuan mendapatkan sifat fisis batuan berdasarkan resistivitas terhadap kedalaman, yang nantinya akan dianalisa untuk mengetahui daerah prospek hidrokarbon. Tahpan dalam pengolahan data untuk mendapatkan nilai resistivitas terlebih dulu mendapatkan nilai resistivitas semu. Nilai resistivitas semu pada metode Transient Electromagnetic (TEM) dapat ditentukan dengan menggunakan beberapa formula yang dikembangkan oleh Kaufman & keller, Zonge, Fitterman & Stewart, dan Cristensen. Dalam proses pemilihan formula TEM yang digunakan analisa dengan mencari perbedaan relative dengan bantuan dari data sintetik, fonnula Fitterman & Stewart memiliki nilai perbedaan relatifitas 0,37%. Korelasi nilai resistivitas dilakukan dengan membandingkan nilai resistivitas yang didapat hasil perhitungan berdasarkan formula TEM dengan nilai resistivitas semu yang diperoleh dari hasil pemodelan l dimensi dengan software LOTEM maupun dengan software IX1D. Proses automatisasi dibuat bertujuan untuk melakukan efisiensi dalam proses perhitungan nilai resistivitas semu dengan software Matlab inenggunakan aplikasi GUIDE Pemodelan 1 dimensi yang di gabungkan dari bebarapa titik sounding bertujuan mendapatkan profil resistivitas yang nantinya akan memberikan informasi bawah permukaan. Dari profil resistivitas semu terhadap kedalaman terlihat adanya struktur yang berupa antiklin pada daerah 500-3000m dengan kedalaman 1000an meter. Pada daerah struktur antiklin terlihat nilai resistivitas yang tinggi mengindikasikan kemungkinan adanya hidrokarbon.

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Processing of transient electromagnetic data to obtain physical properties of rocks based on the resistivity with depth, which will be analyzed to determine areas of hydrocarbon prospects. Stages in data processing to obtain resistivity values first obtaining apparent resistivity value. Value of apparent resistivity on the method of Transient Electromagnetic (TEM can be determined by using some formula that was developed by Kaufman & Keller, Zonge, Fitterman & Stewart, and Cristensen. In the process of choice formula used TEM analysis by looking for relative dwerences with the heha of synthetic data, Fitterman & Stewartls formula has the value 0.3 7% dwerence relativity. Correlation of resistivity values is done by comparing the obtained resistivity values calculated based on the formula TEM apparent resistivity value obtained from the one-dimensional modeling software or with software IXID LOTEM. Automatic process is made aimed at improving efficiency in the process of calculating the value of apparent resistivity with Matlab software using GUIDE aplication. Modeling one- dimensional in combination of Many diagnostic point to obtain a profile of resistivity sounding which will provide subsurface information. From the profile of apparent resistivity with depth seen in the form of the anticline structure in the 3,000 m with a depth of 500-meter 1000an. At the regional anticline structure visible high resistivity values indicate the possibility of hydrocarbons."

"This book provides basic theories and implementations using SCILAB open-source software for digital images. The book simplifies image processing theories and well as implementation of image processing algorithms, making it accessible to those with basic knowledge of image processing. This book includes many SCILAB programs at the end of each theory, which help in understanding concepts. The book includes more than sixty SCILAB programs of the image processing theory. In the appendix, readers will find a deeper glimpse into the research areas in the image processing."

"Uses MATLAB[registered] as a computing tool to explore traditional DSP topics and solve problems to gain insight. In this title, practical examples are discussed and useful problems are explored."

"This book highlights new methods, algorithms and software for the digital processing and recovery of signals. In addition, it describes a new method for modeling one dimensional and multidimensional signals as successions of local polynomial splines and their spectral characteristics. It provides examples of how the proposed methods can be applied in specific cases, together with signal processing software examples in the MATLAB environment, and models of special processes in the Simulink environment. The books goal is to make it easier for beginners to understand the subject matter; it is intended for engineers, undergraduate and graduate students engaged in research or the evaluation and design of hardware and software for the digital processing and recovery of signals."

"The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the shortcomings of Hadoop that have been overcome by Spark. The book mainly focuses on the in-depth architecture of Spark and our understanding of Spark RDDs and how RDD complements big data’s immutable nature, and solves it with lazy evaluation, cacheable and type inference. It also addresses advanced topics in Spark, starting with the basics of Scala and the core Spark framework, and exploring Spark data frames, machine learning using Mllib, graph analytics using Graph X and real-time processing with Apache Kafka, AWS Kenisis, and Azure Event Hub. It then goes on to investigate Spark using PySpark and R. Focusing on the current big data stack, the book examines the interaction with current big data tools, with Spark being the core processing layer for all types of data.The book is intended for data engineers and scientists working on massive datasets and big data technologies in the cloud. In addition to industry professionals, it is helpful for aspiring data processing professionals and students working in big data processing and cloud computing environments."

"This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others.The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning，dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts.The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision."