Open-Set Speaker Identification under Mismatch Conditions

Full text of this paper is not available in the UHRA.This paper presents investigations into the performance of open-set, text-independent speaker identification (OSTI-SI) under mismatched data conditions. The scope of the study includes attempts to reduce the adverse effects of such conditions through the introduction of a modified parallel model combination (PMC) method together with condition-adjusted T-Norm (CT-Norm) into the OSTI-SI framework. The experiments are conducted using examples of real world noise. Based on the outcomes, it is demonstrated that the above approach can lead to considerable improvements in the accuracy of open-set speaker identification operating under severely mismatched data conditions. The paper details the realisation of the modified PMC method and CT-Norm in the context of OSTI-SI, presents the experimental investigations and provides an analysis of the results.otherPeer reviewe

Logistics engineering curriculum integrated through student projects

This paper describes an innovative curriculum developed for new Logistics Engineering degree programs at the Faculty of Engineering Management, Poznan University of Technology. The core of the program is based on a sequence of four major courses, which focus on the Product Development, Process Analysis and Optimization, Logistic Processes and Service Engineering. Each course is built around a practical team project. With the project effort as the background, the courses introduce students to key issues in global engineering competence, including collaboration and teamwork, work organization and management, engineering ethics, cross-cultural communication, critical thinking and problem solving, and integration strategies for design, manufacturing and marketing. Projects also introduce entrepreneurial components, as the teams have to develop their concepts in the context of a start-up company. The first course in the series, introduces 2nd year students to basic concepts of consumer product development. It covers the principles of design and innovation process, and also explains essential design tools, such as Quality Function Deployment and Pugh Matrices. It also reviews key manufacturing methods and systems. Students work in small teams to develop their own product ideas from initial concepts to a business plan for a start-up. The course is offered in English. The second course, offered to 3rd year students, introduces fundamental concepts related to industrial process analysis and improvement. Students learn necessary data collection and analysis techniques (such as, for example, Value Stream Mapping) and also the basics of process simulation using a commercial software package. Student teams work with industrial sponsors and develop competing innovative ideas for process transformation and improvement. While the first two courses have already been offered for the first time in the past year in the engineering program (level 1), the third course is still in the planning phase. It will be offered to 4th year students in the first year of their master\u27s program. It will focus on Supply Chain processes, assessment of their performance, lifecycle analysis and management. The student group project will be carried out in an industrial setting, dealing with real-life assignments. The final course, integrating knowledge acquired by the students in the preceding sequence, is focused on the issues of service engineering. It covers such topics as, for example, organizational design, global issues and design of service operations

Customized lean 3D simulation environment for intralogistics

PURPOSE: The aim of the article is to summarize the author's work, experiences, and publications in the form of a presentation of a coherent concept (requirements) for a simulation environment dedicated to intralogistics and based on Lean principles.DESIGN/METHODOLOGY/APPROACH: Methodology is based on taking into account the achievements of Lean and building it into the methodology of simulation modeling of intralogistics.FINDINGS: The findings include defined criteria for the evaluation of general-purpose simulation programs and dedicated program and their evaluation.PRACTICAL IMPLICATIONS: The presented approach and methodology is practically used in the LogABS simulation application introduced to didactics and offered on the market.ORIGINALITY/VALUE: As an original author contribution, this concept is, simulation modeling referred to as "one-to-one" in the description of processes carried out in the enterprise, changing the method of creating simulation models by defining mechanisms that automate the construction of models, adopting as the basis the analysis of the operations performed and not the states of the objects performing the operations, implementation of a cycle-based approach and cycle management, separation of the executive level from the decision level.peer-reviewe

Using Petri Nets to Model and Simulation Production Systems in Process Reengineering (Case Study)

Non

Ueber Einfluss des Druckes auf Dissociation

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An Approach to Line Balancing on Virtual Supervisor Induction Method and Intelligent Agents

This approach develops a method for solving the line-balancing problem, which is based on two stages. The works in a first stage is to identify the task of workstation, the assignment of the tasks to stations on the line and the recognized balance delay. In this stage we propose the induction VS method, which allows further identify the exact position between pieces, machine into a workstation and also between extern workstation, as well as intracellular and intercellular part. This way each task is identified and measured. In the second stage is to carry out a macro-approach to choose the resource to perform each of them. The hybrid intelligent agent architecture is proposed for this second stage, which has consideration of machining sequence. The integration between both technologies allows us to develop new hybrid architecture capable to reduce the computational time in the deliberative layers fundamentally. Finally, a reconfigurable testbed has been proposed for future experiments and results to evaluate this new balancing method. Some previous computational experiments provide that the proposed approach is efficient to solve practical transfer line design for balancing problem

Distributed Computing and Artificial Intelligence, 11th International Conference

The 11th International Symposium on Distributed Computing and Artificial Intelligence 2014 (DCAI 2014) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research (Algeria, Brazil, China, Croatia, Czech Republic, Denmark, France, Germany, Ireland, Italy, Japan, Malaysia, Mexico, Poland, Portugal, Republic of Korea, Spain, Taiwan, Tunisia, Ukraine, United Kingdom), representing a truly “wide area network” of research activity. DCAI'14 Special Sessions have been a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participating community. Special Sessions that emphasize on multi-disciplinary and transversal aspects, such as AI-driven methods for Multimodal Networks and Processes Modeling and Multi-Agents Macroeconomics have been especially encouraged and welcome. This symposium is organized by the Bioinformatics, Intelligent System and Educational Technology Research Group of the University of Salamanca. The present edition was held in Salamanca, Spain, from 4th to 6th June 2014

International Workshops of PAAMS 2013, Salamanca, Spain, May 22-24, 2013. Proceedings

This book constitutes the refereed proceedings of the Workshops which complemented the 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2013, held in Salamanca, Spain, in May 2013. This volume presents the papers that have been accepted for the workshops: Workshop on Agent-based Approaches for the Transportation Modeling and Optimization, Workshop on Agent-Based Solutions for Manufacturing and Supply Chain, Workshop on User-Centric Technologies and Applications, Workshop on Conflict Resolution in Decision Making, Workshop on Multi-Agent System Based Learning Environments, Workshop on Multi-agent based Applications for Sustainable Energy Systems, Workshop on Agents and multi-agent Systems for AAL and e-Healt

8th International Conference on Practical Applications of Agents and Multiagent Systems

PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an international yearly forum to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their ex-perience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2010 edition in the Special Sessions and Workshops. PAAMS'10 Special Sessions and Workshops are a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participating community. Special Ses-sions and Workshops that emphasize on multi-disciplinary and transversal aspects, as well as cutting-edge topics were especially encouraged and welcomed