Global IT and IT-enabled services

Several topics that were covered during the IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE) held in September 2008, in Tianjin, China, are presented. The symposium focused on the globalized information management, a multidisciplinary covering such fields as computer science, industrial engineering, information systems, management science and engineering, and operations management. The research in global IT and IT-enabled services covers a wide spectrum of topics that include business processes and management in a global setting, such as global workflow technologies and applications, global information system integration and interaction, and global knowledge management. One of the topics focused on the importance of business process modeling technologies and security requirements in order to derive a trust federation from formally described business process models.published_or_final_versionSpringer Open Choice, 21 Feb 201

Computer Information Systems - Analysis and Technologies

This book constitutes the refereed proceedings of the 10th International Conference on Computer Information Systems, CISIM 2011, held in Kolkata, India, in December 2011. The 30 revised full papers presented together with 6 keynote taks and plenary lectures were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on networking and its applications; agent-based systems; biometric applications; pattern recognition and image processing; industrial applications; algorithmic applications and data management; information and network security

UIMA in the Biocuration Workflow: A coherent framework for cooperation between biologists and computational linguists

As collaborating partners, Barcelona Media Innovation Centre and GRIB (Universitat Pompeu Fabra) seek to combine strengths from Computational Linguistics and Biomedicine to produce a robust Text Mining system to generate data that will help biocurators in their daily work. The first version of this system will focus on the discovery of relationships between genes, SNPs (Single Nucleotide Polymorphisms) and diseases from the literature.

A first challenge that we were faced with during the setup of this project is the fact that most current tools that support the curation workflow are complex, ad-hoc built applications which sometimes make difficult the interoperability and results sharing between research groups from different and unrelated expert fields. Often, biologists (even computer-savvy ones) are hard pressed to use and adapt sophisticated Natural Language Processing systems, and computational linguists are challenged by the intricacies of biology in applying their processing pipelines to elicit knowledge from texts. The flow of knowledge (needed to develop a usable, practical tool) to and from the parties involved in the development of such systems is not always easy or straightforward.

The modular and versatile architecture of UIMA (Unstructed Information Management Architecture) provides a framework to address these challenges. UIMA is a component architecture and software framework implementation (including a UIMA SDK) to develop applications that analyse large volumes of unstructured information, and has been increasingly adopted by a significant part of the BioNLP community that needs industrial-grade and robust applications to exploit the whole bibliome. The use of UIMA to develop Text Mining applications useful for curation purposes allows the combination of diverse expertises which is beyond the individual know-how of biologists, computer scientists or linguists in isolation. A good synergy and circulation of knowledge between these experts is fundamental to the development of a successful curation tool

A multidisciplinary and collaborative problem solving architecture for high-level computer aided process planning in discrete manufacturing

Student Number : 0111474R - PhD thesis - School of Mechanical, Industrial and Aeronautical Engineering - Faculty of Engineering and the Built EnvironmentOne of the most daunting challenges in Computer Integrated Manufacturing (CIM) is bridging the gap between Computer Aided Design (CAD) and Computer Aided Process Planning (CAPP). Past research into CAPP, considered one of the most important and most complicated computer aided systems, resulted in a wealth of knowledge but unresolved problems still exist. The actual CAPP systems are considered large, complex, and monolithic, with limited extensibility, low-level of integration with other applications, and high development and maintenance costs. Consequently, this thesis develops a new framework that focuses on a CAPP architecture for problem solving that manages complexity through simplicity, and applies principles and strategies used in manufacturing enterprise management, automation, robotics, and software engineering, that finally leads to a system of systems which is human-centric, architectural-centric, process-centric, and in line with the IT (Information Technology) infrastructure trends. Thereafter, the framework is used to develop a number of software applications that apply object-oriented programming as a new way of thinking about solving CAPP problems and as a promising alternative to other techniques. Then, the capabilities of the new approach are demonstrated through the use of examples. The thesis ends with conclusions about the new CAPP approach, and finally highlights its theoretical and practical implications

Mining association rules for the quality improvement of the production process

Academics and practitioners have a common interest in the continuing development of methods and computer applications that support or perform knowledge-intensive engineering tasks. Operations management dysfunctions and lost production time are problems of enormous magnitude that impact the performance and quality of industrial systems as well as their cost of production. Association rule mining is a data mining technique used to find out useful and invaluable information from huge databases. This work develops a better conceptual base for improving the application of association rule mining methods to extract knowledge on operations and information management. The emphasis of the paper is on the improvement of the operations processes. The application example details an industrial experiment in which association rule mining is used to analyze the manufacturing process of a fully integrated provider of drilling products. The study reports some new interesting results with data mining and knowledge discovery techniques applied to a drill production process. Experiment’s results on real-life data sets show that the proposed approach is useful in finding effective knowledge associated to dysfunctions causes

Computer Information Systems and Industrial Management

This book constitutes the refereed proceedings of the 11th International Conference on Computer Information Systems and Industrial Management, CISIM 2012, held in Venice, Italy, in September 2012. The 35 revised full papers presented together with 2 keynote talks were carefully reviewed and selected from 80 submissions. The papers are organized in topical sections on security, access control and intrusion detection; pattern recognition and image processing; biometric applications; algorithms and data management; networking; and system models and risk assessment

Hand Gestures Recognition using Thermal Images

Master's thesis in Information- and communication technology (IKT590)Hand gesture recognition is important in a variety of applications, including medical systems and assistive technologies, human-computer interaction, human-robot interaction, industrial automation, virtual environment control, sign language translation, crisis and disaster management, en-tertainment and computer games, and robotics. RGB cameras are usually used for most of these applications. However, their performance is limited especially in low-light conditions. It is challenging to accurately classify the hand gestures in dark conditions. In this thesis, we propose the robust hand gestures recognition based on high resolution thermal imaging. These thermal images are captured using FLIR Lepton 3.5 thermal camera which is a high resolution thermal camera with a resolution of 160×120 pixels. Thereafter, we feed the captured thermal images to a deep CNN model to accurately classify the hand gestures. We evaluate the performance of the proposed model with the benchmark models in terms of accuracy as well as the inference time when deployed on edge computing devices such as Raspberry Pi 4 Model B and NVIDIA JETSON AGX XAVIER

Interactive 3D Visualization of a Large University Campus over the Web

Nowadays, with the rise and generalized use of web applications and graphical hardware evolution, one of the most interesting problems deals with realistic real-time visualization of virtual environments on web browsers. This paper shows an on-line application to dynamically visualize a large campus on the World Wide Web. The application focuses on a smooth walk through a large 3D environment in real-time as an alternative way to index geographically related information. This way, contents are continuously filtered based on viewpoint¿s position. This can be made thanks to the availability of different models corresponding to different levels of detail (LOD) for each modeled building. A server storage model has been purposed including all models, compound of meshes, textures and information. The technique is based on an algorithm that performs a progressive refining of the models, according to the distance from the viewpoint.Vendrell Vidal, E.; Sanchez Belenguer, C. (2011). Interactive 3D Visualization of a Large University Campus over the Web. International Journal of Computer Information Systems and Industrial Management Applications. 3:514-521. http://hdl.handle.net/10251/35020S514521

Model-Based Decision Support for Industry-Environment Interactions

Applied systems analysis is -- or should be -- a tool in the hands of planners and decision makers who have to deal with the complex and growing problems of modern society. There is, however, an obvious gap between the ever-increasing complexity and volume of scientific and technological information and tools of analysis relevant to large socio-technical and environmental systems, and the information requirements at a strategic planning and policy level. The Advanced Computer Applications (ACA) project builds on IIASA's traditional strength in the methodological foundations of operations research and applied systems analysis, and its rich experience in numerous application areas including the environment, technology, and risk. The ACA group draws on this infrastructure and combines it with elements of AI and advanced information and computer technology. Several completely externally-funded research and development projects in the field of model-based decision support and applied Artificial Intelligence (AI) are currently under way. As an example of this approach to information and decision support systems, one of the components of an R&D project sponsored by the CEC's EURATOM Joint Research Centre (JRC) at Ispra, Italy, in the area of hazardous substances and industrial risk management, is described in this paper. The PDA (Production Distribution Area) is an interactive optimization code (based on DIDASS, one of a family of multicriteria decision support tools developed at IIASA) and a linear problem solver, for chemical industry structures, configured for the pesticide industry of a hypothetical region. The user can select optimization criteria, define allowable ranges or constraints on these criteria, define reference points for the multi-criteria trade-off, and display various levels of model output, including the waste streams generated by the different industrial structure alternatives. These waste streams can then be used to provide input conditions for the environmental impact models. With the emphasis on a directly understandable problem representation and dynamic color graphics, and the user interface as a key element of interactive decision support systems, this is a step toward increased direct practical usability of IIASA's research results