EDV-gestützte Personaleinsatzplanung. Methoden und Verfahren: Philipp Funke
EDV-gestützte Personaleinsatzplanung. Methoden und Verfahren:1. Auflage. Philipp Funke
These proceedings consist of 19 papers, which have been peer-reviewed by international program committee and selected for the 5th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2017), which was held on June 30-July 1, 2017 in Berlin, Germany. The respective chapters discuss both theoretical and practical issues in connection with computational methods and optimization methods for knowledge engineering. The broad range of application areas discussed includes network computing, simulation, intelligent and adaptive e-learning, information retrieval, sentiment analysis, autonomous underwater vehicles, social media analysis, natural language processing, biomimetics in organizations, and cash management. In addition to pure content, the book offers many inspiring ideas and suggests new research directions, making it a valuable resource for graduate students, Ph.D. students, and researchers in Computer Science and Applied Mathematics alike.
Die vorliegende Arbeit behandelt die Konzeption und Umsetzung einer Methode zur Modellierung und Ausführung dynamischer Geschäftsprozesse basierend auf Konzepten der Ereignisverarbeitung. Trotz des starken IT-Bezugs werden in erster Linie fachlich orientierte Experten und nur in geringerer Priorisierung IT-Entwickler adressiert. Der Fokus der Betrachtungen liegt dabei insbesondere auf der Ereignisverarbeitung. Diese umfasst ein plattformunabhängiges Ereignisverarbeitungsmodell mit formalisiertem Metamodell und passender Notation, das sich nahtlos in das Geschäftsprozessmodell integrieren lässt. Auch ein entsprechendes Ereignismodell wird in diesem Zusammenhang berücksichtigt. Zudem beinhaltet die Methode Transformationsvorschriften, um ein erstelltes Ereignisverarbeitungsmodell im Zuge eines modellbasierten Ansatzes automatisch in ausführbaren Code überführen zu können. Zur Demonstration des praktischen Einsatzes sind prototypische Softwarewerkzeuge für die Modellierung und Ausführung ebenfalls Bestandteil dieser Arbeit. Die Methode und ihre Modelle werden im Rahmen eines Anwendungsfalls aus der Luftfahrt für das Management von Echtzeitversorgungsketten evaluiert.
Helps deliver software projects on time and within budget. This book provides cost-estimating methods for projects using technologies including Java, object-oriented methods, and reusable components. It is suitable for developers building complex software.
This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view. It integrates methods from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The chapters of this book can be organized into three categories: Basic algorithms: Chapters 1 through 7 discuss the fundamental algorithms for outlier analysis, including probabilistic and statistical methods, linear methods, proximity-based methods, high-dimensional (subspace) methods, ensemble methods, and supervised methods. Domain-specific methods: Chapters 8 through 12 discuss outlier detection algorithms for various domains of data, such as text, categorical data, time-series data, discrete sequence data, spatial data, and network data. Applications: Chapter 13 is devoted to various applications of outlier analysis. Some guidance is also provided for the practitioner. The second edition of this book is more detailed and is written to appeal to both researchers and practitioners. Significant new material has been added on topics such as kernel methods, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series methods, and subspace methods. It is written as a textbook and can be used for classroom teaching.
This new and completely updated edition is a comprehensive, easy-to-read, ´´how-to´´ guide on user research methods. You´ll learn about many distinct user research methods and also pre- and post-method considerations such as recruiting, facilitating activities or moderating, negotiating with product developments teams/customers, and getting your results incorporated into the product. For each method, you´ll understand how to prepare for and conduct the activity, as well as analyze and present the data - all in a practical and hands-on way. Each method presented provides different information about the users and their requirements (e.g., functional requirements, information architecture). The techniques can be used together to form a complete picture of the users´ needs or they can be used separately throughout the product development lifecycle to address specific product questions. These techniques have helped product teams understand the value of user experience research by providing insight into how users behave and what they need to be successful. You will find brand new case studies from leaders in industry and academia that demonstrate each method in action. This book has something to offer whether you are new to user experience or a seasoned UX professional. After reading this book, you´ll be able to choose the right user research method for your research question and conduct a user research study. Then, you will be able to apply your findings to your own products. Completely new and revised edition includes 30+% new content! Discover the foundation you need to prepare for any user research activity and ensure that the results are incorporated into your products Includes all new case studies for each method from leaders in industry and academia
Are you attracted by the promises of agile methods but put off by the fanaticism of many agile texts? Would you like to know which agile techniques work, which ones do not matter much, and which ones will harm your projects? Then you need Agile! : the first exhaustive, objective review of agile principles, techniques and tools. Agile methods are one of the most important developments in software over the past decades, but also a surprising mix of the best and the worst. Until now every project and developer had to sort out the good ideas from the bad by themselves. This book spares you the pain. It offers both a thorough descriptive presentation of agile techniques and a perceptive analysis of their benefits and limitations. Agile! serves first as a primer on agile development : one chapter each introduces agile principles, roles, managerial practices, technical practices and artifacts. A separate chapter analyzes the four major agile methods: Extreme Programming, Lean Software, Scrum and Crystal. The accompanying critical analysis explains what you should retain and discard from agile ideas. It is based on Meyer´s thorough understanding of software engineering, and his extensive personal experience of programming and project management. He highlights the limitations of agile methods as well as their truly brilliant contributions - even those to which their own authors do not do full justice. Three important chapters precede the core discussion of agile ideas: an overview, serving as a concentrate of the entire book; a dissection of the intellectual devices used by agile authors; and a review of classical software engineering techniques, such as requirements analysis and lifecycle models, which agile methods criticize. The final chapters describe the precautions that a company should take during a transition to agile development and present an overall assessment of agile ideas. This is the first book to discuss agile methods, beyond the brouhaha, in the general context of modern software engineering. It is a key resource for projects that want to combine the best of established results and agile innovations.
Machine learning methods majorly comprise image processing and soft computing methods and are mainly responsible for automation. Wheat production is influenced by assorted varying factors. A basic requisite for best production is the seed. Sorting or grading of agricultural products influenced by computer varies product wise and even product variety wise which changes region wise. Grading for new varieties released by the agricultural scientist is the major concerned as new varieties are produced by crossing existing varieties and for these proven optimized machine learning algorithms may give an adverse result. This book highlights various applications of image processing in agriculture and introduces a machine learning algorithm capable of classifying major 5 wheat cultivars (TRITICUM - DURUM: GDW 1255 (released in 2013 by ICAR) & TRITICUM - AESTVIUM: GW 273, GW 322, GW 496 & LOK 1) cultivated in Gujarat region. Experimental data consist of 11 traits comprised of shape, color & morphological characteristics. After applying feature selection algorithm,5 traits were considered & LM backpropagation was used to classify above wheat cultivars which ensued to more than 90.0% accuracy.
Dieses Buch ist ein Aufbaukurs für Fortgeschrittene, die mit den Grundlagen von Autodesk® Inventor® 2016 bereits vertraut sind. Das Programm verfügt über einen Bereich der Dynamischen Simulation, in dem komplexe Baugruppen unter Einfluss äußerer Randbedingungen, wie Kräften und Drehmomenten, berechnet und simuliert werden können. Die Ergebnisse können dann zur weiteren Bearbeitung in den Bereich der Finiten-Elemente-Methode übertragen werden. In einem komplexen Übungsbeispiel wird der Leser theoretische Grundlagen der Befehle aus dem Bereich der Dynamischen Simulation erlernen und anschließend praktisch umsetzen.