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"Process modeling style focuses on other aspects of process modeling beyond notation that are very important to practitioners. Many people who model processes focus on the specific notation used to create their drawings. While that is important, there are many other aspects to modeling, such as naming, creating identifiers, descriptions, interfaces, patterns, and creating useful process documentation. Experience author John Long focuses on those non-notational aspects of modeling, which practitioners will find invaluable."

"This timely text/​reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined. Topics and features: Addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities Revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition Examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition Discusses deep learning for soft biometrics, including approaches for gesture-based identification, gender classification, and tattoo recognition Investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples Presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning. Dr. Bir Bhanu is Bourns Presidential Chair, Distinguished Professor of Electrical and Computer Engineering and the Director of the Center for Research in Intelligent Systems at the University of California at Riverside, USA. Some of his other Springer publications include the titles Video Bioinformatics, Distributed Video Sensor Networks, and Human Recognition at a Distance in Video. Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University."

"Providing a comprehensive look at the current technologies, procedures, and architectures, this book presents state-of-the-art research together with the current and future challenges in building new smart applications in an efficient, scalable, and sustainable way. --"

"Model Predictive Control (MPC) merupakan sistem pengendalian yang menggunakan model berdasarkan data hasil pengukuran keluaran (output) saat ini atau masa sebelumnya untuk memprediksi nilai dari variabel proses (input) pada masa yang akan datang. Pada penelitian ini, sistem pengendalian MPC digunakan untuk menangani pengendalian proses variabel jamak dalam unit operasi Continous Stirred Tank Reactor (CSTR) dengan reaksi pembuatan propylene glycol. Model dinamik sesuai dengan kondisi operasi yang dapat mewakili interaksi antara variabel jamak dibuat untuk diterapkan pada sistem pengendali. Sistem pengendalian proses disimulasikan dengan menggunakan perangkat lunak Unisim R390.1. Simulasi pengendalian proses dilakukan untuk menghasilkan performa pengendalian yang optimum dan untuk mengendalikan variable jamak yang saling berinteraksi dalam sistem pada CSTR. Optimasi pada sistem pengendalian dilakukan dengan cara tuning terhadap parameter-parameter MPC seperti model horizon (N), waktu sampel (T), prediction horizon (P), dan control horizon (M).Hasil dari simulasi menunjukkan Model F sebagai model dinamik terbaik pada pengendali MPC multivariable mampu menangani jangkauan perubahan setpoint dalam rentang perubahan yang kecil dari 0,33 ke 0,331 dengan IAE sebesar 0,10602. Secara keseluruhan, pengendali MPC belum dapat mengendalikan sistem CSTR secara optimum berdasarkan nilai IAE, namun pengendali MPC lebih mampu menjaga kestabilan sistem dibandingkan dengan pengendali PI.Model Predictive Control (MPC) are control system which use model based on value output variable at present or past to predict value of future process variable. In this research, MPC control system use to handle multivariable process control in unit operation Continous Stirred Tank Reactor (CSTR) with propylene glycol reaction system. Dynamics model based on operating condition which representative interaction between multivariable are made to implement in control system. Process control system simulating in Unisim R390.1 software. The simulation of process control aims to achieve optimum performance of controller and to control interaction between multivariable in CSTR system. Optimasion will be doing in system control with MPC parameters tuning such as model horizon (N), time sampling (T), prediction horizon (P), and control horizon (M).

The Results show that Model F as the best model in MPC multivariable can control the change of setpoint in short length from 0,33 to 0,331 with 0,10602 IAE. Overall, MPC controller can?t controlled CSTR system with optimum result based on IEA value, but MPC can make system more stabile than PI controller."

"[Pengetahuan tentang elemen-elemen yang dapat meningkatkan pengalaman pengguna (user experience/UX) ketika menggunakan sistem operasi merupakan hal yang penting. Hal ini dibutuhkan bagi pengembang sistem operasi untuk membangun sistem operasi yang baik dari segi fungsi atau kegunaan (usability), dan juga dari segi pengaruh tampilannya (affect). Pendekatan yang digunakan dalam penelitian ini untuk mendapatkan elemen atau indikator tersebut adalah dengan melakukan pemodelan (PLS-SEM). Dimana hingga saat ini pendekatan UX secara kuantitatif, khususnya pemodelan, masih sedikit. Penelitian dilakukan dengan memberi tugas-tugas tertentu terkait dengan aplikasi Windows 10 Technical Preview (sebagai representasi) kepada subjek penelitian. Hasil penelitian menunjukkan bahwa pada masa orientasi, pengaruh tampilan (affect) secara subjektif merupakan hal yang lebih penting dari kegunaan (usability) objektif untuk meningkatkan penilaian pengguna (user value) dan pengalaman pengguna secara keseluruhan (overall UX). Lalu, dari masing-masing elemen UX yang terdiri dari usability, affect, dan user value tersebut, didapatkan indikator-indikator yang dapat menjadi prioritas dalam membangun sebuah sistem operasi. Sebagai tambahan, dilakukan retrospective think aloud untuk mendapatkan umpan balik pengguna, Knowledge about elements that can improve user experience when using an operating system is important. It is needed by operating system developer to build the operating system that is good from its usability, and also from its display affect. Approach that is used in this research to get the element or indicator is by doing the modeling (PLS-SEM). Whereas until this day quantitave UX approach, especially modeling, is little. The research is did by giving particular tasks about Windows 10 Technical Preview applications (as representation) to research subject. Research result shows that in orientation state, subjective affect from display is more important than objective usability to increase user value and overall user experience. Then, from each UX elements that are usability, affect, and user value, it is obtained each indicators that can become priority when building up operating system. As an addition, retrospective think aloud is conducted to get feedback from user.]"

"If you've been searching for a way to get up to speed on IEEE 802.11n and 802.11ac WLAN standards without having to wade through the entire specification, then look no further. This comprehensive overview describes the underlying principles, implementation details and key enhancing features of 802.11n and 802.11ac. For many of these features the authors outline the motivation and history behind their adoption into the standard. A detailed discussion of key throughput, robustness, and reliability enhancing features (such as MIMO, multi-user MIMO, 40/​80/​160 MHz channels, transmit beamforming and packet aggregation) is given, plus clear summaries of issues surrounding legacy interoperability and coexistence. Now updated and significantly revised, this 2nd edition contains new material on 802.11ac throughput, including revised chapters on MAC and interoperability, plus new chapters on 802.11ac PHY and multi-user MIMO. An ideal reference for designers of WLAN equipment, network managers, and researchers in the field of wireless communications""

"Performance Optimization of Numerically Intensive Codes offers a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment of all the essential ingredients for achieving high performance in numerical computations on modern computers. The authors explain computer architectures, data traffic and issues related to performance of serial and parallel code optimization exemplified by actual programs written for algorithms of wide interest. The unique hands-on style is achieved by extensive case studies using realistic computational problems. The performance gain obtained by applying the techniques described in this book can be very significant.The book bridges the gap between the literature in system architecture, the one in numerical methods and the occasional descriptions of optimization topics in computer vendors' literature. It also allows readers to better judge the suitability of certain computer architecture to their computational requirements. In contrast to standard textbooks on computer architecture and on programming techniques the book treats these topics together at the level necessary for writing high-performance programs. The book facilitates easy access to these topics for computational scientists and engineers mainly interested in practical issues related to efficient code development."

"Software defined networks discusses the historical networking environment that gave rise to SDN, as well as the latest advances in SDN technology. The book gives you the state of the art knowledge needed for successful deployment of an SDN, including:- How to explain to the non-technical business decision makers in your organization the potential benefits, as well as the risks, in shifting parts of a network to the SDN model- How to make intelligent decisions about when to integrate SDN technologies in a network- How to decide if your organization should be developing its own SDN applications or looking to acquire these from an outside vendor- How to accelerate the ability to develop your own SDN application, be it entirely novel or a more efficient approach to a long-standing problem"