Responsive Architecture

This book is a collection of articles that have been published in the Special Issue “Responsive Architecture” of the MDPI journal Buildings. The eleven articles within cover various areas of sensitive architecture, including the design of packaging structures reacting to supporting components; structural efficiency of bent columns in indigenous houses; roof forms responsive to buildings depending on their resiliently transformed steel shell parts; creative design of building free shapes covered with transformed shells; artistic structural concepts of the architect and civil engineer; digitally designed airport terminal using wind analysis; rationalized shaping of sensitive curvilinear steel construction; interactive stories of responsive architecture; transformed shell roof constructions as the main determinant in the creative shaping of buildings without shapes that are sensitive to man-made and natural environments; thermally sensitive performances of a special shielding envelope on balconies; quantification of generality and adaptability of building layout using the SAGA method; and influence of initial conditions on the simulation of the transient temperature field inside a wall

Eine Analyse der Literatur zur Referenzmodellierung im Geschäftsprozessmanagement unter Berücksichtigung quantitativer Methoden

Im Geschäftsprozessmanagement nimmt die Referenzmodellierung bei der Gestaltung von Geschäftsprozessen eine große Bedeutung ein, da auf bereits existierende Modelle zurückgegriffen werden kann. So kann Zeit für die Entwicklung der Prozesse eingespart und von bereits etabliertem Wissen profitiert werden. Die vorliegende Masterarbeit analysiert die Literatur im Bereich der Referenzmodellierung im Geschäftsprozessmanagement unter Berücksichtigung quantitativer Methoden. Es werden insbesondere die Forschungsrichtungen bzw. Themenbereiche, Entwicklungen und der aktuelle Stand der Literatur in diesem Bereich ermittelt. Zunächst werden deutsch- und englischsprachige Artikel nach bestimmten Kriterien ausgewählt. Anschließend folgt eine quantitativ orientierte Analyse der Literatur. Dabei kommt die Latente Semantische Analyse zum Einsatz, mit deren Hilfe Themenbereiche ermittelt werden und die einzelnen Beiträge den ermittelten Themenbereichen zugeordnet werden können. Darüber hinaus wird die Entwicklung der Anzahl der Artikel in den Themenbereichen im Zeitverlauf betrachtet und auf Unterschiede zwischen der deutsch- und englischsprachigen Literatur eingegangen. In der darauf folgenden qualitativ orientierten Analyse werden die Artikel der einzelnen Themenbereiche inhaltlich analysiert und der aktuelle Stand der Forschung dargestellt. Nicht zuletzt werden die Ergebnisse der qualitativen Analyse in Bezug zu den Ergebnissen der quantitativen Analyse gesetzt

Seamless Outdoors-Indoors Localization Solutions on Smartphones: Implementation and Challenges

© ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in http://doi.org/10.1145/2871166[EN] The demand for more sophisticated Location-Based Services (LBS) in terms of applications variety and accuracy is tripling every year since the emergence of the smartphone a few years ago. Equally, smartphone manufacturers are mounting several wireless communication and localization technologies, inertial sensors as well as powerful processing capability, to cater to such LBS applications. A hybrid of wireless technologies is needed to provide seamless localization solutions and to improve accuracy, to reduce time to fix, and to reduce power consumption. The review of localization techniques/technologies of this emerging field is therefore important. This article reviews the recent research-oriented and commercial localization solutions on smartphones. The focus of this article is on the implementation challenges associated with utilizing these positioning solutions on Android-based smartphones. Furthermore, the taxonomy of smartphone-location techniques is highlighted with a special focus on the detail of each technique and its hybridization. The article compares the indoor localization techniques based on accuracy, utilized wireless technology, overhead, and localization technique used. The pursuit of achieving ubiquitous localization outdoors and indoors for critical LBS applications such as security and safety shall dominate future research efforts.This research was sponsored by Koya University, Kurdistan Region-Iraq. The authors also would like to thank Dr. Ali Al-Sherbaz (from the University of Northampton-UK) and Dr. Naseer Al-Jawad (from the University of Buckingham-UK) for providing and improving the quality of this article in terms of academic and technical writing.Maghdid, HS.; Lami, IA.; Ghafoor, KZ.; Lloret, J. (2016). Seamless Outdoors-Indoors Localization Solutions on Smartphones: Implementation and Challenges. ACM Computing Surveys. 48(4):1-34. https://doi.org/10.1145/2871166S134484I. Adusei, K. Kyamakya, and K. Jobmann. 2002. Mobile positioning technologies in cellular networks: An evaluation of their performance metrics. Proceedings of MILCOM 2002. 2, 1239--1244.Faiz Anuar and Ulrike Gretzel. 2011. Privacy concerns in the context of location-based services for tourism. In ENTER 2011 Conference, Innsbruck, Austria.A. Bensky. 2008. Wireless Positioning Technologies and Applications. Artech House, Inc. Norwood, MA.Azzedine Boukerche, Horacio A. B. F. Oliveira, Eduardo F. Nakamura, and Antonio A. F. Loureiro. 2007. Localization systems for wireless sensor networks. IEEE Wireless Communications 14, 6, 6--12.Azzedine Boukerche, Horacio A. B. F. Oliveira, Eduardo F. Nakamura, and Antonio A. F. Loureiro. 2008. Secure localization algorithms for wireless sensor networks. IEEE Communications Magazine 46, 4, 96--101.Azzedine Boukerche, Horacio A. B. F. Oliveira, Eduardo F. Nakamura, and Antonio A. F. Loureiro. 2008. Vehicular ad hoc networks: A new challenge for localization-based systems. Computer Communications 31, 12, 2838--2849.M. Butler. 2011. Android: Changing the Mobile Landscape. PERVASIVE Computing 10, 1, 4--7.J. Caffery and G. Stuber. 1998. Overview of radiolocation in CDMA cellular systems. IEEE Communications Magazine 36, 4, 38--45.Suma S. Cherian and Ashok N. Rudrapatna. 2013. LTE location technologies and delivery solutions. Bell Labs Technical Journal 18, 2, 175--194.M. Ciurana, D. Lopez, and F. Barcelo-Arroyo. 2009. SofTOA: Software ranging for TOA-based positioning of WLAN terminals. Location and Context Awareness 207--221.Paul Craven, Ronald Wong, Neal Fedora, and Paul Crampton. 2013. Studying the Effects of Interference on GNSS Signals. International Technical Meeting. San Diego, California: The Institute of Navigation, 893--186.D. Dardari, P. Closas, and P. M. Djuric. 2015. Indoor tracking: Theory, methods, and technologies. IEEE Transactions on Vehicular Technology 64, 4, 1263--1278.Guido De Angelis, Giuseppe Baruffa, and Saverio Cacopardi. 2012. GNSS/Cellular hybrid positioning system for mobile users in urban scenarios. IEEE Transactions on Intelligent Transportation Systems 14, 1, 313--321.Horacio Antonio Braga Fernandes De Oliveira, Azzedine Boukerche, Eduardo Freire Nakamura, and Antonio Alfredo Ferreira Loureiro. 2009. An efficient directed localization recursion protocol for wireless sensor networks. IEEE Transactions on Computers 58, 5, 677--691.Francescantonio Della Rosa, Mauro Pelosi, and Jari Nurmi. 2012. Human-induced effects on RSS ranging measurements for cooperative positioning. International Journal of Navigation and Observation 13.Zhongliang Deng, Yanpei Yu, Xie Yuan, Neng Wan, and Lei Yang. 2013. Situation and development tendency of indoor positioning. China Communications 10, 3, 42--55.Mohammed Elbes, Ala Al-Fuqaha, and Muhammad Anan. 2013. A precise indoor localization approach based on particle filter and dynamic exclusion techniques. Network Protocols and Algorithms 5, 2, 50--71.R. Faragher and R. Harle. 2013. SmartSLAM--an efficient smartphone indoor positioning system exploiting machine learning and opportunistic sensing. In ION GNSS.Zahid Farid, Rosdiadee Nordin, and Mahamod Ismail. 2013. Recent advances in wireless indoor localization techniques and system. Journal of Computer Networks and Communications 12.S. A. Fayaz. 2013. Location service for wireless network using improved RSS-based cellular localisation. International Journal of Electronics 1--16.C. Feng, W. Au, S. Valaee, and Z. Tan. 2010. Compressive sensing based positioning using RSS of WLAN access points. In 2010 Proceedings of IEEE INFOCOM, 1--9.Ruijun Fu, Yunxing Ye, and K. Pahlavan. 2012. Heterogeneous cooperative localization for social networks with mobile devices. In IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC’12).T. Gallagher, B. Li, A. Kealy, and A. Dempster. 2009. Trials of commercial Wi-Fi positioning systems for indoor and urban canyons. In IGNSS 2009 Symposium on GPS/GNSS.T. Gallagher, E. Wise, B. Li, A. Dempster, C. Rizos, and E. Ramsey-Stewart. 2012. Indoor positioning system based on sensor fusion for the blind and visually impaired. In 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN’12), 1--9.Miguel Garcia, Diana Bri, Jesus Tomas, and Jaime Lloret. 2013. A cooperative decision making algorithm for wireless location systems using interlinking data. In 10th International Conference on Cooperative Design, Visualization and Engineering (CDVE’13). Mallorca, Spain.Miguel Garcia, Fernando Boronat, Jesus Tomás, and Jaime Lloret. 2009. The development of two systems for indoor wireless sensors self-location. Ad Hoc & Sensor Wireless Networks 8, 3--4, 235--258.A. Günther and C. Hoene. 2005. Measuring round trip times to determine the distance between wlan nodes. In Proceedings of Networking 2005. Springer, 768--779.R. Hansen, R. Wind, C. Jensen, and B. Thomsen. 2009. Seamless indoor/outdoor positioning handover for location-based services in streamspin. In 10th International Conference on Mobile Data Management: Systems, Services and Middleware (MDM’09), 267--272.R. Harle. 2013. A survey of indoor inertial positioning systems for pedestrians. In IEEE Communications Surveys Tutorials 15, 3, 1281--1293.A. Hassan and S. Khairulmizam. 2009. Integration of global positioning system and inertial navigation system with different sampling rate using adaptive neuro fuzzy inference system. Science Journal 7, 98--106.J. Hightower and G. Borriello. 2001. Location systems for ubiquitous computing. Computer 34, 8, 57--66.C. Hoene and J. Willmann. 2008. Four-way TOA and software-based trilateration of IEEE 802.11 devices. In IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC’08), 1--6.J. Huang, D. Millman, M. Quigley, D. Stavens, S. Thrun, and A. Aggarwal. 2011. Efficient, generalized indoor WiFi GRAPHSLAM. In 2011 IEEE International Conference on Robotics and Automation (ICRA’11), 1038--1043.L. Hui, Y. Lei, and W. Yuanfei. 2010. UWB, Multi-sensors and WiFi-mesh based precision positioning for urban rail traffic. In Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS’10), 1--8.Ihsan Alshahib Lami, S. Halgurd Maghdid, and Torben Kuseler. 2014. SILS: A smart indoors localization scheme based on on-the-go cooperative smartphones networks using onboard bluetooth, WiFi and GNSS. In Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+’14). Tampa, FL.T. Iwase and R. Shibasaki. 2013. Infra-free indoor positioning using only smartphone sensors. In 2013 International Conference on Indoor Positioning and Indoor Navigation (IPIN’13).S. Jin. 2012. Global Navigation Satellite Systems: Signal, Theory and Applications. In Tech. 438 pages.K. Kalliola. 2008. Bringing navigation indoors. The Way We Live Next. Nokia.J. Kim, J. Lee, and C. Park. 2008. A mitigation of line-of-sight by TDOA error modeling in wireless communication system. In International Conference on Control, Automation and Systems (ICCAS’08), 1601--1605.S. Koenig, M. Schmidt, and C. Hoene. 2011. Multipath mitigation for indoor localization based on IEEE 802.11 time-of-flight measurements. In 2011 IEEE International Symposium on World of Wireless, Mobile and Multimedia Networks (WoWMoM’11), 1--8.N. Kohtake, S. Morimoto, S. Kogure, and D. Manandhar. 2011. Indoor and outdoor seamless positioning using indoor messaging system and GPS. In International Conference on Indoor Positioning and Indoor Navigation (IPIN’11).A. LaMarca, Y. Chawathe, S. Consolvo, J. Hightower, I. Smith, J. Scott, et al. 2005. Place lab: Device positioning using radio beacons in the wild. Pervasive Computing 301--306.J. Lee, Z. Lin, P. Chin, and K. Yar. 2010. One way ranging time drift compensation for both synchronized and non-synchronized clocks. In 2010 International Conference on System Science and Engineering (ICSSE’10), 327--331.Jae-Eun Lee and Sanguk Lee. 2010. Indoor initial positioning using single clock pseudolite system. In 2010 International Conference on Information and Communication Technology Convergence (ICTC’10), 575--578.B. Li, A. G. Dempster, and C. Rizos. 2010. Positioning in environments where GPS fails. FIG Congress, Sydney, Australia, 1--18.D. Lim, S. Lee, and D. Cho. 2007. Design of an assisted GPS receiver and its performance analysis. In IEEE International Symposium on Circuits and Systems (ISCAS’0), 1742--1745.H. Liu, H. Darabi, P. Banerjee, and J. Liu. 2007. Survey of wireless indoor positioning techniques and systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 37, 6, 1067--1080.Kaikai Liu, Qiuyuan Huang, Wang Jiecong, Li Xiaolin, and D. O. Wu. 2013. Improving GPS service via social collaboration. In 2013 IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS’13).X. Liu, S. Zhang, J. Quan, and X. Lin. 2010. The experimental analysis of outdoor positioning system based on fingerprint approach. In 2010 12th IEEE International Conference on Communication Technology (ICCT’13), 369--372.Jaime Lloret, Jesus Tomas, Alejandro Canovas, and Irene Bellver. 2011. A geopositioning system based on WiFi networks. In The 7th International Conference on Networking and Services (ICNS’11). Venice, Italy.Jaime Lloret, Jesus Tomás, Miguel Garcia, and Alejandro Cánovas. 2009. A hybrid stochastic approach for self-location of wireless sensors in indoor environments. Sensors 9, 5, 3695--3712.Diego Lopez-de-Ipina, Bernhard Klein, Christian Guggenmos, Jorge Perez, and Guillermo Gil. 2011. User-Aware semantic location models for service provision. International Symposium on Ubiquitous Computing and Ambient Intelligence, Riviera Maya, Mexico.Dimitrios Lymberopoulos, Jie Liu, Xue Yang, Romit Roy Choudhury, Vlado Handziski, and Souvik Sen. 2015. A realistic evaluation and comparison of indoor location technologies: Experiences and lessons learned. In Proceedings of the 14th International Conference on Information Processing in Sensor Networks. ACM, New York, NY.N. Mahiddin, N. Safie, E. Nadia, S. Safei, and E. Fadzli. 2012. Indoor position detection using WiFi and trilateration technique. The International Conference on Informatics and Applications (ICIA’12), 362--366.T. Manodham, L. Loyola, and T. Miki. 2008. A novel wireless positioning system for seamless internet connectivity based on the WLAN infrastructure. Wireless Personal Communications 44, 3, 295--309.Alex Mariakakis, Souvik Sen, Jeongkeun Lee, and Kyu-Han Kim. 2014. Single access point based indoor localization. In Proceedings of ACM MobiSys.R. Mautz. 2009. The challenges of indoor environments and specification on some alternative positioning systems. In 6th Workshop on Positioning, Navigation and Communication (WPNC’09), 29--36.M. Mock, R. Frings, E. Nett, and S. Trikaliotis. 2000. Clock synchronization for wireless local area networks. 12th Euromicro Conference on Real-Time Systems (Euromicro RTS’00), 183--189.E. Mok. 2010. Using outdoor public WiFi and GPS integrated method for position updating of knowledge-based logistics system in dense high rise urban environments. 8th International Conference on Supply Chain Management and Information Systems (SCMIS’10), 1--4.D. Niculescu and B. Nath. 2004. VOR base stations for indoor 802. 11 positioning. In Proceedings of the 10th Annual International Conference on Mobile Computing and Networking 26, 58--69.T. Oshin, S. Poslad, and A. Ma. 2012. Improving the energy-efficiency of GPS based location sensing smartphone applications. In IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom’12), 1698--1705.R. Padilla. 2013. Apple retail stores to integrate iBeacon systems to assist with sales and services. Retrieved January 19, 2016 from http://www.macrumors.com/2013/11/16/apple-retail-stores-to-integrate-ibeacon-systems-to-assist-with-sales-and-services/.D. Park and J. Park. 2011. An enhanced ranging scheme using WiFi RSSI measurements for ubiquitous location. In 1st ACIS/JNU International Conference on Computers, Networks, Systems and Industrial Engineering (CNSI’11), 296--301.J. Partyka. 2012. A look at small indoor location competitors. GPS world. Available at: http://gpsworld.com/wirelesslook-small-indoor-location-competitors-13229/ {Last access January 31, 2016}.L. Pei, R. Chen, J. Liu, Z. Liu, H. Kuusniemi, Y. Chen, et al. 2011. Sensor assisted 3D personal navigation on a smart phone in GPS degraded environments. In 19th International Conference on Geoinformatics, 1--6.R. G. Priyanka Shah. 2012, May 01. Location based reminder using GPS for mobile (Android). ARPN Journal of Science and Technology 2, 4, 377--380.C. Rizos, G. Roberts, J. Barnes, and N. Gambale. 2010. Locata: A new high accuracy indoor positioning system. In Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, Zurich, Switzerland, 15--17.R. Rowe, P. Duffett-Smith, M. Jarvis, and N. Graube. 2008. Enhanced GPS: The tight integration of received cellular timing signals and GNSS receivers for ubiquitous positioning. In IEEE/ION Position, Location and Navigation Symposium, 838--845.A. Roxin, J. Gaber, M. Wack, and A. Nait-Sidi-Moh. 2007. Survey of wireless geolocation techniques. In IEEE Globecom Workshops, 1--9.J. Ryoo, H. Kim, and S. Das. 2012. Geo-fencing: Geographical-fencing based energy-aware proactive framework for mobile devices. In IEEE 20th International Workshop on Quality of Service (IWQoS’12), 1--9.Souvik Sen, Jeongkeun Lee, Kyu-Han Kim, and Paul Congdon. 2013. Avoiding multipath to revive inbuilding WiFi localization. In Proceeding of the 11th Annual International Conference on Mobile Systems, Applications, and Services. ACM, New York, NY.Sensewhere LTD. 2011. Geo-fence technology and applications. Indoor Location Technology Leaders. Available at: http://www.sensewhere.com/images/geowhereDatasheet_compressed.pdf {Last access January 31, 2016}.I. Shafer and M. Chang L. 2010. Movement detection for power-efficient smartphone WLAN localization. In Proceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems, ACM, New York, NY, 81--90.Aaron Strout and Mike Schneider. 2011. Location Based Marketing For Dummies. John Wiley & Sons, Hoboken, NJ.Fazli Subhan, Halabi Hasbullah, Azat Rozyyev, and Sheikh Tahir Bakhsh. 2011. Indoor positioning in Bluetooth networks using fingerprinting and lateration approach. In 2011 International Conference on Information Science and Applications (ICISA).Daisuke Taniuchi, Xiaopeng Liu, Daisuke Nakai, and Takuya Maekawa. 2015. Spring model based collaborative indoor position estimation with neighbor mobile devices. IEEE Journal of Selected Topics in Signal Processing 9, 2, 268--277.CSRICIII Working Group 3. 2013. E9-1-1 Location Accuracy: Indoor Location Test Bed Report. San Jose CA: The Communications Security, Reliability and Interoperability Council III. https://transition.fcc.gov/bureaus/pshs/advisory/csric3/CSRIC_III_WG3_Report_March_%202013_ILTestBedReport.pdf {Last access January 31, 2016}.Agoston Torok, Akos Nagy, Laszlo Kovats, and Peter Pach. 2014. DREAR-towards infrastructure-free indoor localization via dead-reckoning enhanced with activity recognition. In 8th International Conference on. Next Generation Mobile Apps, Services and Technologies (NGMAST’14).D. McHoul. 2008. U-TDOA Enabling New Location-based Safety and Security Solutions. TruePosition-White Paper, USA, 1--10.A. Waadt, G. Bruck, and P. Jung. 2009. An overview of positioning systems and technologies. In 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL’09), 1--5.M. Weyn and F. Schrooyen. 2008. A Wi-Fi Assisted GPS Positioning Concept. ECUMICT, Ghent, Belgium.S. Wibowo, M. Klepal, and D. Pesch. 2009. Time of flight ranging using off-the-self IEEE802. 11 WiFi tags. In Proceedings of the International Conference on Positioning and Context-Awareness (PoCA’09).O. Woodman and R. Harle. 2008. Pedestrian localisation for indoor environments. In Proceedings of the 10th International Conference on Ubiquitous Computing, 114--123.Yinfeng Wu, Ligong Li, Yongji Ren, Kefu Yi, and Ning Yu. 2014. A RSSI localization algorithm and implementation for indoor wireless sensor networks. Adhoc & Sensor Wireless Networks 22, 2.Zhuoling Xiao, Hongkai Wen, Andrew Markham, and Niki Trigoni. 2015. Robust pedestrian dead reckoning (R-PDR) for arbitrary mobile device placement. In International Conference on Indoor Positioning and Indoor Navigation. IEEE.J. Xiong and K. Jamieson. 2011. ArrayTrack: A fine-grained indoor location system. RN 11, 19.Yi Sun, Yubin Zhao, and J. Schiller. 2014. An autonomic indoor positioning application based on smartphone. In IEEE Wireless Communications and Networking Conference (WCNC’14).M. Youssef, A. Youssef, C. Rieger, U. Shankar, and A. Agrawala. 2006. Pinpoint: An asynchronous time-based location determination system. In Proceedings of the 4th International Conference on Mobile Systems, Applications and Services,165--176.Haejung Yun, Dongho Han, and C. Choong Lee. 2013. Understanding the use of location-based service applications: Do privacy concerns matter? Journal of Electronic Commerce Research 14, 3, 215.P. Zandbergen. 2009. Accuracy of iPhone locations: A comparison of assisted GPS, WiFi and cellular positioning. Transactions in GIS 13, s1, 5--25.Y. Zhao, M. Li, and F. Shi. 2010. Indoor radio propagation model based on dominant path. International Journal of Communications, Network and System Sciences 3, 3, 330--337.S. Zirari, P. Canalda, and F. Spies. 2010. WiFi GPS based combined positioning algorithm. In IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS’10), 684--688

Efficient Decision Support Systems

This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues. This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped upon decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers

A Novel Method for Adaptive Control of Manufacturing Equipment in Cloud Environments

The ability to adaptively control manufacturing equipment, both in local and distributed environments, is becoming increasingly more important for many manufacturing companies. One important reason for this is that manufacturing companies are facing increasing levels of changes, variations and uncertainty, caused by both internal and external factors, which can negatively impact their performance. Frequently changing consumer requirements and market demands usually lead to variations in manufacturing quantities, product design and shorter product life-cycles. Variations in manufacturing capability and functionality, such as equipment breakdowns, missing/worn/broken tools and delays, also contribute to a high level of uncertainty. The result is unpredictable manufacturing system performance, with an increased number of unforeseen events occurring in these systems. Events which are difficult for traditional planning and control systems to satisfactorily manage. For manufacturing scenarios such as these, the use of real-time manufacturing information and intelligence is necessary to enable manufacturing activities to be performed according to actual manufacturing conditions and requirements, and not according to a pre-determined process plan. Therefore, there is a need for an event-driven control approach to facilitate adaptive decision-making and dynamic control capabilities. Another reason driving the move for adaptive control of manufacturing equipment is the trend of increasing globalization, which forces manufacturing industry to focus on more cost-effective manufacturing systems and collaboration within global supply chains and manufacturing networks. Cloud Manufacturing is evolving as a new manufacturing paradigm to match this trend, enabling the mutually advantageous sharing of resources, knowledge and information between distributed companies and manufacturing units. One of the crucial objectives for Cloud Manufacturing is the coordinated planning, control and execution of discrete manufacturing operations in collaborative and networked environments. Therefore, there is also a need that such an event-driven control approach supports the control of distributed manufacturing equipment. The aim of this research study is to define and verify a novel and comprehensive method for adaptive control of manufacturing equipment in cloud environments. The presented research follows the Design Science Research methodology. From a review of research literature, problems regarding adaptive manufacturing equipment control have been identified. A control approach, building on a structure of event-driven Manufacturing Feature Function Blocks, supported by an Information Framework, has been formulated. The Function Block structure is constructed to generate real-time control instructions, triggered by events from the manufacturing environment. The Information Framework uses the concept of Ontologies and The Semantic Web to enable description and matching of manufacturing resource capabilities and manufacturing task requests in distributed environments, e.g. within Cloud Manufacturing. The suggested control approach has been designed and instantiated, implemented as prototype systems for both local and distributed manufacturing scenarios, in both real and virtual applications. In these systems, event-driven Assembly Feature Function Blocks for adaptive control of robotic assembly tasks have been used to demonstrate the applicability of the control approach. The utility and performance of these prototype systems have been tested, verified and evaluated for different assembly scenarios. The proposed control approach has many promising characteristics for use within both local and distributed environments, such as cloud environments. The biggest advantage compared to traditional control is that the required control is created at run-time according to actual manufacturing conditions. The biggest obstacle for being applicable to its full extent is manufacturing equipment controlled by proprietary control systems, with native control languages. To take the full advantage of the IEC Function Block control approach, controllers which can interface, interpret and execute these Function Blocks directly, are necessary

3D printing-as-a-service for collaborative engineering

3D printing or Additive Manufacturing (AM) are utilised as umbrella terms to denote a variety of technologies to manufacture or create a physical object based on a digital model. Commonly, these technologies create the objects by adding, fusing or melting a raw material in a layer-wise fashion. Apart from the 3D printer itself, no specialised tools are required to create almost any shape or form imaginable and designable. The possibilities of these technologies of these technologies are plentiful and cover the ability to manufacture every object, rapidly, locally and cost-efficiently without wasted resources and material. Objects can be created to specific forms to perform as perfectly fitting functions without consideration of the assembly process. To further the advance the availability and applicability of 3D printing, this thesis identifies the problems that currently exist and attempts to solve them. During the 3D printing process, data (i. e., files) must be converted from their original representation, e. g., CAD file, to the machine instructions for a specific 3D printer. During this process, information is lost, and other information is added. Traceability is lacking in 3D printing. The actual 3D printing can require a long period of time to complete, during which errors can occur. In 3D printing, these errors are often non-recoverable or reversible, which results in wasted material and time. In addition to the lack of closed-loop control systems for 3D printers, careful planning and preparation are required to avoid these costly misprints. 3D printers are usually located remotely from users, due to health and safety considerations, special placement requirements or out of comfort. Remotely placed equipment is impractical to monitor in person; however, such monitoring is essential. Especially considering the proneness of 3D printing to errors and the implications of this as described previously. Utilisation of 3D printers is an issue, especially with expensive 3D printers. As there are a number of differing 3D printing technologies available, having the required 3D printer, might be problematic. 3D printers are equipped with a variety of interfaces, depending on the make and model. These differing interfaces, both hard- and software, hinder the integration of different 3D printers into consistent systems. There exists no proper and complete ontology or resource description schema or mechanism that covers all the different 3D printing technologies. Such a resource description mechanism is essential for the automated scheduling in services or systems. In 3D printing services the selection and matching of appropriate and suitable 3D printers is essential, as not all 3D printing technologies are able to perform on all materials or are able to create certain object features, such as thin walls or hollow forms. The need for companies to sell digital models for AM will increase in scenarios where replacement or customised parts are 3D printed by consumers at home or in local manufacturing centres. Furthermore, requirements to safeguard these digital models will increase to avoid a repetition of the problems from the music industry, e. g., Napster. Replication and ‘theft’ of these models are uncontrollable in the current situation. In a service oriented deployment, or in scenarios where the utilisation is high, estimations of the 3D printing time are required to be available. Common 3D printing time estimations are inaccurate, which hinder the application of scheduling. The complete and comprehensive understanding of the complexity of an object is discordant, especially in the domain of AM. This understanding is required to both support the design of objects for AM and match appropriate manufacturing resources to certain objects. Quality in AM and FDM have been incompletely researched. The quality in general is increased with maturity of the technology; however, research on the quality achievable with consumer-grade 3D printers is lacking. Furthermore, cost-sensitive measurement methods for quality assessment are expandable. This thesis presents the structured design and implementation of a 3D printing service with associated contributions that provide solutions to particular problems present in the AM domain. The 3D printing service is the overarching component of this thesis and provides the platform for the other contributions with the intention to establish an online, cloud-based 3D printing service for use in end-user and professional settings with a focus on collaboration and cooperation

XVIII Simposio Internacional de Informática Educativa, SIIE 2016

El Simposio Internacional de Informática Educativa (SIIE) ofrece un foro internacional para la presentación y debate de los últimos avances en investigación sobre las tecnologías para el aprendizaje y su aplicación práctica en los procesos educativos. También pretende poner en contacto a investigadores, desarrolladores, representantes institucionales y profesores para compartir puntos de vista, conocimientos y experiencias

XIII Jornadas de ingeniería telemática (JITEL 2017)

Las Jornadas de Ingeniería Telemática (JITEL), organizadas por la Asociación de Telemática (ATEL), constituyen un foro propicio de reunión, debate y divulgación para los grupos que imparten docencia e investigan en temas relacionados con las redes y los servicios telemáticos. Con la organización de este evento se pretende fomentar, por un lado el intercambio de experiencias y resultados, además de la comunicación y cooperación entre los grupos de investigación que trabajan en temas relacionados con la telemática. En paralelo a las tradicionales sesiones que caracterizan los congresos científicos, se desea potenciar actividades más abiertas, que estimulen el intercambio de ideas entre los investigadores experimentados y los noveles, así como la creación de vínculos y puntos de encuentro entre los diferentes grupos o equipos de investigación. Para ello, además de invitar a personas relevantes en los campos correspondientes, se van a incluir sesiones de presentación y debate de las líneas y proyectos activos de los mencionados equiposLloret Mauri, J.; Casares Giner, V. (2018). XIII Jornadas de ingeniería telemática (JITEL 2017). Editorial Universitat Politècnica de València. http://hdl.handle.net/10251/97612EDITORIA