Academic literature on the topic 'Purpose-oriented networks'
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Journal articles on the topic "Purpose-oriented networks"
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Berthod, Olivier, and Federica Segato. "Developing Purpose-Oriented Networks: A Process View." Perspectives on Public Management and Governance 2, no. 3 (August 14, 2019): 203–12. http://dx.doi.org/10.1093/ppmgov/gvz008.
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AbstractRejoining other authors’ arguments in favor of less linear and more process-based studies of change in purpose-oriented networks (PONs), we propose conceiving of PONs not as social entities or forms, but as processes constantly in flux. From this perspective, PONs comprise more or less interconnected processes constantly at play, albeit with more or less intensity, depending on the reflexive management and actions of their participants. We contend that a process view sheds light on three major themes categorizing extant research on network development: network development as the product of engineered, planned managerial actions; network evolution as the product of unintended, systemic changes both within and outside of PONs; and the management of network tensions as the central object of managerial attention.
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Carboni, Julia L., Angel Saz-Carranza, Jörg Raab, and Kimberley R. Isett. "Taking Dimensions of Purpose-Oriented Networks Seriously." Perspectives on Public Management and Governance 2, no. 3 (August 31, 2019): 187–201. http://dx.doi.org/10.1093/ppmgov/gvz011.
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AbstractPurpose-oriented networks—often referred to as goal-directed networks—are a widely recognized empirical phenomenon in the public administration and management literatures. However, there is no systematic understanding about which characteristics are constitutive for these entities to be present. We use Goetz’s multilevel concept to develop a conceptual framework for purpose-oriented networks that includes four constitutive dimensions: purpose, joint effort, membership, and governance. Then we classify existing literature into this framework. Constitutive dimensions allow scholars to operationalize concepts and develop hypotheses that are testable across a wider range of purpose-oriented networks, better define the external validity of results, and improve the accumulation of knowledge across disciplinary perspectives as well as to point to areas in need of more study. We conclude that the fundamental concepts that constitute purpose-oriented networks are dangerously understudied and are in dire need of systematic, sustained empirical attention.
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Nowell, Branda L., and Patrick Kenis. "Purpose-Oriented Networks: The Architecture of Complexity." Perspectives on Public Management and Governance 2, no. 3 (August 6, 2019): 169–73. http://dx.doi.org/10.1093/ppmgov/gvz012.
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Nowell, Branda, and Kate Albrecht. "Purpose-oriented Networks and their Environment: A Population Ecology of Network Domains." Academy of Management Proceedings 2021, no. 1 (August 2021): 15125. http://dx.doi.org/10.5465/ambpp.2021.90.
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MANIOUDAKIS, GEORGE D., and SPIRIDON D. LIKOTHANASSIS. "AN OBJECT-ORIENTED TOOLBOX FOR ADAPTIVE NEURAL NETWORKS' IMPLEMENTATION." International Journal on Artificial Intelligence Tools 10, no. 03 (September 2001): 345–71. http://dx.doi.org/10.1142/s0218213001000556.
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Neural Networks are massively parallel processing systems, that require expensive and usually not available hardware, in order to be realized. Fortunately, the development of effective and accessible software, makes their simulation easy. Thus, various neural network's implementation tools exist in the market, which are oriented to the specific learning algorithm used. Furthermore, they can simulate only fixed size networks. In this work, we present some object-oriented techniques that have been used to defined some types of neuron and network objects, that can be used to realize, in a localized approach, some fast and powerful learning algorithms which combine results of the optimal filtering and the multi-model partitioning theory. Thus, one can build and implement intelligent learning algorithms that face both, the training as well as the on-line adjustment of the network size. Furthermore, the design methodology used, results to a system modeled as a collection of concurrent executable objects, making easy the parallel implementation. The whole design results in a general purpose tool box which is characterized by maintainability, reusability, and increased modularity. The provided features are shown by the presentation of some practical applications.
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FRANKLIN, JUDY A., and KRYSTAL K. LOCKE. "RECURRENT NEURAL NETWORKS FOR MUSICAL PITCH MEMORY AND CLASSIFICATION." International Journal on Artificial Intelligence Tools 14, no. 01n02 (February 2005): 329–42. http://dx.doi.org/10.1142/s0218213005002120.
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We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a recurrent neural network. We have run experiments with several kinds of recurrent networks for this purpose, and have found that Long Short-term Memory networks provide the best results. We show that a new pitch representation called Circles of Thirds works as well as two other published representations for these tasks, yet it is more succinct and enables faster learning. We then discuss limited results using other types of networks on the same tasks.
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Sun, Yaya, Tao Wang, and Xin Gu. "Study on Cooperative Culture, Network Power and Knowledge Flow from the Perspective of Enterprise Innovation Network Management." E3S Web of Conferences 253 (2021): 03021. http://dx.doi.org/10.1051/e3sconf/202125303021.
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Efficiently development of enterprise innovation networks is inseparable from integrated innovation processes such as knowledge sharing and transfer. Knowledge flow is a core network activity that is highly dependent on the cultural and structural environment. As an informal governance mechanism, cooperative culture affects the stability and durability of relationship between members. Perfectly cooperative cultural mechanism is the key to promoting knowledge flow in innovation networks. The purpose of this paper is to explore whether and how cooperative culture and network power affect knowledge flow in innovation networks. This paper finds that cooperative culture, network power has a positive effect on knowledge flow, which was obtained by using SEM method based on 227 questionnaire survey samples of enterprises. Furthermore, this paper also uses fuzzy quantitative comparative analysis (fsQCA) to study how cooperative culture and network power work together on knowledge flow. This study finds out three paths that lead to high knowledge flow, which are composed of the elements of cooperative culture and network power. The three paths are knowledge reciprocity-oriented, cooperative culture-oriented and cultural knowledge fitoriented respectively. These findings are of great significance for promoting the management of innovation networks.
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Rincón-Gallardo, Santiago, and Michael Fullan. "Essential features of effective networks in education." Journal of Professional Capital and Community 1, no. 1 (January 11, 2016): 5–22. http://dx.doi.org/10.1108/jpcc-09-2015-0007.
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Purpose – The purpose of this paper is to advance clarity and precision around effective action in networks, understood as collaboration that: first, deepens the learning and engagement of students and adults; second, enhances the professional capital of teachers and leaders; and third, becomes a positive force of whole system improvement. It distills eight essential features of effective networks by fleshing out key lessons from existing research and from emerging education network developments in the English-speaking world and Latin America. It then discusses three shifts required for a new partnership between networks and central leadership to turn networks into forces of educational system renewal. Design/methodology/approach – Two sources of evidence were identified and reviewed: first, literature reviews and studies aimed at identifying characteristics of effective networks in education; and second, network case studies and R & D initiatives that used networks as their improvement strategy and had demonstrated positive impact on student outcomes or on one or more professional capital variables often associated with improved student outcomes. To distill the eight essential features of effective networks and three required shifts in the relationship between networks and central leadership, the authors engaged in an iterative process of thematic analysis (Boyatzis, 1998) deliberately searching for key characteristics and processes describing effective collaboration. The list was revised for completeness and parsimony. Findings – The eight essential features of effective networks identified are: first, focussing on ambitious student learning outcomes linked to effective pedagogy; second, developing strong relationships of trust and internal accountability; third, continuously improving practice and systems through cycles of collaborative inquiry; fourth, using deliberate leadership and skilled facilitation within flat power structures; fifth, frequently interacting and learning inwards; sixth, connecting outwards to learn from others; seventh, forming new partnership among students, teachers, families, and communities; and eighth, securing adequate resources to sustain the work. The three required shifts in the relationship between networks and central leadership are: first, from supply driven to demand driven; second, from compliance oriented to learning oriented; and third, from bureaucracy to movement. Research limitations/implications – The key limitation derives from the scarce available evidence to date causally – or even co-relationally – connecting network activities with improved student learning. This paper summarizes what is known to date about effective collaboration in networks and advance a theory of action that causally links network activities with improved student outcomes and enhanced professional capital. This theory of action, summarized in eight essential features, simultaneously offers key hypotheses for social network theory in education and actionable guidelines to develop effective networks. Practical implications – The eight essential features of effective networks and the three required shifts in the relationship between networks and central leadership presented here were intentionally framed as action oriented. They offer a clear and actionable set of guidelines to develop effective networks. Social implications – The power of networks as vehicles to dramatically improve schools and entire educational systems is yet to be realized. This paper offers guidelines to enhance the effectiveness of networks, and thus contributes to the realization of the yet unfulfilled promise of networks. Originality/value – This work adds originality and value in three ways: first, it draws from both existing studies on effective networks and successful and promising education networks; second, its findings apply to multiple configurations of networks, across multiple contexts – existing publications place their focus on specific network configurations or a specific network case or initiative; third, it looks at effective collaboration in networks from the dual perspective of local problem solving and whole system improvement.
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Lemaire, Robin H., Remco S. Mannak, Sonia M. Ospina, and Martijn Groenleer. "Striving for State of the Art with Paradigm Interplay and Meta-Synthesis: Purpose-oriented Network Research Challenges and Good Research Practices as a Way Forward." Perspectives on Public Management and Governance 2, no. 3 (July 26, 2019): 175–86. http://dx.doi.org/10.1093/ppmgov/gvz010.
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Abstract With the growing amount and increasing heterogeneity of research on purpose-oriented networks (PONs) in the public sector, it is imperative to find a way to synthesize this research. Drawing on the varied research perspectives on PONs, we advance the idea of paradigm interplay and meta-synthesis as aspirations for the field and argue this is especially key if we want the study of PONs to inform practice. However, we recognize several challenges in the current state of the PON research that prevent the field from making strides in paradigm interplay and meta-synthesis. We discuss six challenges which we consider the most critical: different labels, differences across research foci, variation in measurement, the nestedness of networks, the dynamism of networks, and variation in the network context. We suggest six good research practices that could contribute to overcoming the challenges now so as to make integration of the research field more of a possibility in the future.
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Barka, Kamel, Azeddine Bilami, and Samir Gourdache. "MONet." International Journal of Pervasive Computing and Communications 13, no. 4 (November 6, 2017): 345–69. http://dx.doi.org/10.1108/ijpcc-d-17-00009.
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Purpose The purpose of this paper is to ensure power efficiency in wireless sensor networks (WSNs) through a new framework-oriented middleware, based on a biologically inspired mechanism that uses an evolutionary multi-objective optimization algorithm. The authors call this middleware framework multi-objective optimization for wireless sensor networks (MONet). Design/methodology/approach In MONet, the middleware level of each network node autonomously adjusts its routing parameters according to dynamic network conditions and seeks optimal trade-offs among performance objectives for a balance of its global performance. MONet controls the cooperation between agents (network nodes) while varying transmission paths to reduce and distribute power consumption equitably on all the sensor nodes of network. MONet-runtime uses a modified TinyDDS middleware platform. Findings Simulation results confirm that MONet allows power efficiency to WSN nodes while adapting their sleep periods and self-heal false-positive sensor data. Originality/value The framework implementation is lightweight and efficient enough to run on resource-limited nodes such as sensor nodes.
Dissertations / Theses on the topic "Purpose-oriented networks"
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Edwards, Jaimie Elizabeth. "Over the River and Through the Woods: Examining the Relationship between Network Structure, Collaboration and Geography." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/98752.
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This dissertation analyzes the relationship between network structure, collaboration, and geography among food security organizations in the New River Valley of Virginia. As a way to better understand how purpose-oriented, service-delivery networks, this case study of the Thrive network examines the relationship between geography and collaboration. The food security organizations within the region were mapped to determine the structure of the network and data was compared to the geography of the region. The findings suggest that food security organizations do find geography as a barrier to collaboration in three ways. First, these organizations see geography as a cost to collaboration due to the increased need for logistics and resources. Second, geography creates interorganizational political and cultural boundaries. Third, many food security organizations view geography as a barrier to collaboration in terms of its relationship between the organization and its clients. Organizations that saw value in collaboration between organizations within the network found ways to overcome the barriers of geography.Doctor of Philosophy
Networks enable organizations to work together in a way that helps solve social issues too large to be handled by single groups. This dissertation explores the way in which food security organizations collaborate in the New River Valley of Virginia and the ways in which this collaboration is impacted by geography. The findings suggest that geography is often an unclear concept that is conflated with multiple concepts such as organizational politics, client issues, and cultural boundaries, and that overcoming these barriers can be accomplished when goal congruence occurs.
Book chapters on the topic "Purpose-oriented networks"
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Muñoz, Antonio, Jamal Toutouh, and Francisco Jaime. "A Review of Dynamic Verification of Security and Dependability Properties." In Artificial Intelligence and Security Challenges in Emerging Networks, 162–87. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7353-1.ch007.
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This chapter reviews the notions of security and dependability properties from the perspective of software engineering, providing the reader with a technical background on dynamic verification and runtime monitoring techniques. The chapter covers the technical background on security and dependability properties with system verification through dynamic verification or monitoring. The authors initially provide a short overview of the security and dependability properties themselves. Once definitions of security and dependability properties are introduced, they present a critical analysis of current research on dynamic verification by presenting general purpose and security oriented dynamic verification approaches.
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Tselios, Dimitrios C., Ilias K. Savvas, and M.-Tahar Kechadi. "Phased Method for Solving Multi-Objective MPM Job Shop Scheduling Problem." In Deep Learning and Neural Networks, 1480–99. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0414-7.ch083.
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The project portfolio scheduling problem has become very popular in recent years since many modern organizations operate in multi-project and multi-objective environment. Current project oriented organizations have to design a plan in order to execute a set of projects sharing common resources such as personnel teams. This problem can be seen as an extension of the job shop scheduling problem; the multi-purpose job shop scheduling problem. In this paper, the authors propose a hybrid approach to deal with a bi-objective optimisation problem; Makespan and Total Weighted Tardiness. The approach consists of three phases; in the first phase they utilise a Genetic Algorithm (GA) to generate a set of initial solutions, which are used as inputs to recurrent neural networks (RNNs) in the second phase. In the third phase the authors apply adaptive learning rate and a Tabu Search like algorithm with the view to improve the solutions returned by the RNNs. The proposed hybrid approach is evaluated on some well-known benchmarks and the experimental results are very promising.
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Maqousi, Ali, and Tatiana Balikhina. "Wire and Wireless Local Area Networks Simulation." In Simulation in Computer Network Design and Modeling, 490–515. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0191-8.ch024.
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There has been a tremendous increase in the use of wire/wireless Local Area Networks (LAN) with different network configurations. Therefore, it is vital to have an accurate and a reliable generic platform to enable network developers, managers, security mangers, researchers, and students evaluating and investigating the performance of LANs of different technologies and configurations. Many network simulators have been developed throughout the years, such as: the Optimized Network Engineering Tool (OPNET), the Network Simulator (NS), the Global Mobile Simulator (GloMoSim), etc. One of the most widely-used and powerful general-purpose network simulators is OPNET, which is an object-oriented simulation environment. This chapter provides two walk through tutorials on using OPNET IT Guru (Academic Edition of OPNET) for wire/wireless LANs simulations. These tutorials demonstrate in step-by-step fashion, the procedures of initiating new simulation, setting up the simulation parameters, running the simulation, and viewing the results. The first tutorial (Tutorial #1) simulates a wired LAN of 10 computers and one server connected to a single switch, and the second tutorial (Tutorial #2) simulates a wireless ad hoc network of 10 mobile nodes and one server. This chapter demonstrates that OPNET IT Guru is a powerful tool that can be used by a range of professional users to simulate, evaluate, and investigate the performance of wire and wireless LANs. Moreover, it encourages and helps students to easily perform network simulation for better understanding of the network performance under different network conditions.
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Ibrohimovna, Malohat, and Sonia Heemstra de Groot. "Fednets." In Handbook of Research on P2P and Grid Systems for Service-Oriented Computing, 956–80. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-686-5.ch041.
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A personal network (PN) is a network of a user’s personal devices and services, cooperating with each other independently of their geographical location to provide ubiquitous services to the user. PNs can be the producers and consumers of the services, content and resources. They can also export the subsets of their personal resources and services to other PNs. In such cases, PNs may form a group-oriented secure network called a Federation of Personal Networks (Fednet). A Fednet is a temporal, ad-hoc opportunity or purpose driven network of PNs, in which PNs collaborate with each other to share resources and services in a peer-to-peer manner. A Fednet is a pervasive and ubiquitous computing technology that enables the users to enjoy cooperation and promises exciting opportunities for different applications in various fields, such as education, healthcare, entertainment, business and emergency.In this chapter, the authors discuss PN technology expanding on the concept of Fednet. They provide example scenarios for Fednets, showing their potential impact to the quality of life of their users. Furthermore, they present the architecture and lifecycle of a Fednet. They explain the interactions of the main architectural components during its lifecycle and present a framework for the secure access control and management for a Fednet. The framework provides a controlled collaboration of PNs, where each PN controls the access to its resources and services. Finally, the authors provide a brief overview of some of the existing resource sharing group-oriented networks related to Fednets.
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Mukherjee, Triparna, and Asoke Nath. "Big Data Analytics With Service-Oriented Architecture." In Advances in Business Information Systems and Analytics, 216–34. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2157-0.ch015.
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This chapter focuses on Big Data and its relation with Service-Oriented Architecture. We start with the introduction to Big Data Trends in recent times, how data explosion is not only faced by web and retail networks but also the enterprises. The notorious “V's” – Variety, volume, velocity and value can cause a lot of trouble. We emphasize on the fact that Big Data is much more than just size, the problem that we face today is neither the amount of data that is created nor its consumption, but the analysis of all those data. In our next step, we describe what service-oriented architecture is and how SOA can efficiently handle the increasingly massive amount of transactions. Next, we focus on the main purpose of SOA here is to meaningfully interoperate, trade, and reuse data between IT systems and trading partners. Using this Big Data scenario, we investigate the integration of Services with new capabilities of Enterprise Architectures and Management. This has had varying success but it remains the dominant mode for data integration as data can be managed with higher flexibility.
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Mukherjee, Triparna, and Asoke Nath. "Big Data Analytics With Service-Oriented Architecture." In Web Services, 1243–61. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7501-6.ch064.
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This chapter focuses on Big Data and its relation with Service-Oriented Architecture. We start with the introduction to Big Data Trends in recent times, how data explosion is not only faced by web and retail networks but also the enterprises. The notorious “V's” – Variety, volume, velocity and value can cause a lot of trouble. We emphasize on the fact that Big Data is much more than just size, the problem that we face today is neither the amount of data that is created nor its consumption, but the analysis of all those data. In our next step, we describe what service-oriented architecture is and how SOA can efficiently handle the increasingly massive amount of transactions. Next, we focus on the main purpose of SOA here is to meaningfully interoperate, trade, and reuse data between IT systems and trading partners. Using this Big Data scenario, we investigate the integration of Services with new capabilities of Enterprise Architectures and Management. This has had varying success but it remains the dominant mode for data integration as data can be managed with higher flexibility.
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Ibrohimovna, Malohat, and Sonia Heemstra de Groot. "Fednets." In Digital Rights Management, 534–58. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2136-7.ch025.
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A personal network (PN) is a network of a user’s personal devices and services, cooperating with each other independently of their geographical location to provide ubiquitous services to the user. PNs can be the producers and consumers of the services, content and resources. They can also export the subsets of their personal resources and services to other PNs. In such cases, PNs may form a group-oriented secure network called a Federation of Personal Networks (Fednet). A Fednet is a temporal, ad-hoc opportunity or purpose driven network of PNs, in which PNs collaborate with each other to share resources and services in a peer-to-peer manner. A Fednet is a pervasive and ubiquitous computing technology that enables the users to enjoy cooperation and promises exciting opportunities for different applications in various fields, such as education, healthcare, entertainment, business and emergency.In this chapter, the authors discuss PN technology expanding on the concept of Fednet. They provide example scenarios for Fednets, showing their potential impact to the quality of life of their users. Furthermore, they present the architecture and lifecycle of a Fednet. They explain the interactions of the main architectural components during its lifecycle and present a framework for the secure access control and management for a Fednet. The framework provides a controlled collaboration of PNs, where each PN controls the access to its resources and services. Finally, the authors provide a brief overview of some of the existing resource sharing group-oriented networks related to Fednets.
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Neubauer, Bruce J. "Web Services and Service-Oriented Architectures." In Handbook of Research on Public Information Technology, 531–43. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-857-4.ch049.
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A review of the development of information systems can help in understanding the potential significance of Web services and service-oriented architecture (SOA) in the public sector. SOA involves the convergent design of information systems and organizational workflows at the level of services. The purpose of this chapter is to suggest a strategy for mapping the design of service-oriented architectures onto the complex patterns of governance including combinations of federalism, regionalism, and the outsourcing of functions from government agencies to nonprofit organizations. This involves the modeling of workflows and the identification of opportunities for the sharing of services among agencies and nonprofits. The structures of government agencies reflect political jurisdictions, legislative committee structures, areas of public policy, and geographical locations. Federalism creates situations in which multiple agencies (often at different levels of government) have similar responsibilities in the same geographic areas. Metropolitan areas are complex mosaics of local governments and special districts. In addition, nonprofit organizations are also involved in strategic alliances with government agencies to provide services to citizens. The coordination of efforts among multiple organizations has been one of the major functions of public administrators acting through formal or informal networks of relationships within and across organizational boundaries. Web services and SOA can be used to help integrate the often costly and fragmented delivery of government services.
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Savidis, Anthony, and Nikos Koutsopoulos. "A Programmer-Centric and Task-Optimized Object Graph Visualizer for Debuggers." In Innovative Approaches of Data Visualization and Visual Analytics, 385–96. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4309-3.ch018.
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Today, existing graph visualizers are not popular for debugging purposes because they are mostly visualization-oriented, rather than task-oriented, implementing general-purpose graph drawing algorithms. The latter explains why prominent integrated development environments still adopt traditional tree views. The authors introduce a debugging assistant with a visualization technique designed to better fit the actual task of defect detection in runtime object networks, while supporting advanced inspection and configuration features. Its design has been centered on the study of the actual programmer needs in the context of the debugging task, emphasizing: 1.) visualization style inspired by a social networking metaphor enabling easily identify who deploys objects (clients) and whom objects deploy (servers); 2.) inspection features to easily review object contents and associations and to search content patterns (currently regular expressions only); and 3.) interactively configurable levels of information detail, supporting off-line inspection and multiple concurrent views.
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Singh, Aarti, Anu Sharma, and Nilanjan Dey. "Semantics and Agents Oriented Web Personalization." In Mobile Computing and Wireless Networks, 1018–32. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8751-6.ch043.
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Advent of technologies like semantic web, multi-agent systems, web mining has changed the internet as knowledge provider. Web personalization offers a solution to the information overload problem in current web by providing users a personalized experience, considering their interest, behavior, context and emotions. Semantic web technology is based on use of software agents, ontologies and reasoning to add meaning to web information. An important technology for achieving personalization is the use of independent intelligent software agents. This work reviews, web personalization in the light of semantic web and software agent technology. A comparative study of recent works in the domain of web personalization has been carried out for this purpose. This review highlights ample scope for application of intelligent agents in the web personalization domain for solving many existing issues like personalized content management, user profile learning, modeling and adaptive interactions with users.
Conference papers on the topic "Purpose-oriented networks"
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Naseer, Atif, Basem Y. Alkazemi, and Hossam I. Aldoobi. "A general-purpose service-oriented middleware model for WSN." In 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN). IEEE, 2016. http://dx.doi.org/10.1109/icufn.2016.7537033.
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Liu, Ziqian, and Nirwan Ansari. "Control of Recurrent Neural Networks Using Differential Minimax Game: The Deterministic Case." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4005.
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This paper presents a theoretical design of how a minimax equilibrium of differential game is achieved in a class of large-scale nonlinear dynamic systems, namely the recurrent neural networks. In order to realize the equilibrium, we consider the vector of external inputs as a player and the vector of internal noises (or disturbances or modeling errors) as an opposing player. The purpose of this study is to construct a nonlinear H∞ optimal control for deterministic noisy recurrent neural networks to achieve an optimal-oriented stabilization, as well as to attenuate noise to a prescribed level with stability margins. A numerical example demonstrates the effectiveness of the proposed approach.
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Sus, Aleksandra, and Michał Organa. "Triangle of dynamics factors in inter-organizational networks." In Contemporary Issues in Business, Management and Economics Engineering. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/cibmee.2019.059.
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Purpose – the main scientific purpose of this article is to conceptualise the categories of dynamics of interorganisational networks strategy. The scientific problem presented in the article concerns initially identified connections between three major elements (based on literature studies and authors’ previous experiences), describing the dynamism of the strategy as mentioned above. Those elements were named by the authors as the Triangle of Dynamics Factors (TDF), and are (1) propensity of taking the risk and real ability to accurately assess opportunities, (2) skills, and processes of opportunities identification, creation, and exploitation, as well as (3) leadership skills of contemporary managers. Basing on those connections, the article concerns on clarifying research hypotheses in the areas of the three mentioned differentiating factors. Research methodology – in order to achieve the main goal of the article both quantitative (survey research) and qualitative (case study) methods were chosen for future research. Findings – the conducted research is focused on positioning previously mentioned categories in the micro-scale strategy, as well as on determining variables constituting the dynamics of inter-organisational networks strategies. The article presents research hypotheses that will be verified. Research limitations – the limitations are primarily related to a variety of factors influencing the dynamics of interorganisational network strategies, observed both inside and outside the networks. The article focuses on those factors that decision-makers in networks can influence, which is tantamount to omitting most factors within the networks' environment. At the same time, the article focuses on selected types of inter-organisational networks – both decentralised and centralised. The article is conceptual; therefore, it does not contain the results of empirical research directly oriented on all three identified factors, which is its specific limitation. Partial results of the previously conducted research indicated in the article relate only to one of the identified elements. It is the area of skills, and processes of opportunities identification, creation, and exploitation. Practical implications – the practical business implications concern mostly the necessity of organisational adaptation to changing environmental conditions, the imperative of being flexible and striving for the success by inter-organisational networks. The article identifies those factors being under the actual influence exerted by networks' representatives. Originality/Value – this article is the authors' third joint work, and hitherto in the examined literature, there were no publications dedicated to the study of strategy dynamics and dynamism of the inter-organisational networks' strategy, researched in the triad: risk – opportunities – leadership. This creates a wide interpretative and research area for the indicated topic
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Dang, Long Hoang, Thao Minh Le, Vuong Le, and Truyen Tran. "Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/88.
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Video Question Answering (Video QA) is a powerful testbed to develop new AI capabilities. This task necessitates learning to reason about objects, relations, and events across visual and linguistic domains in space-time. High-level reasoning demands lifting from associative visual pattern recognition to symbol like manipulation over objects, their behavior and interactions. Toward reaching this goal we propose an object-oriented reasoning approach in that video is abstracted as a dynamic stream of interacting objects. At each stage of the video event flow, these objects interact with each other, and their interactions are reasoned about with respect to the query and under the overall context of a video. This mechanism is materialized into a family of general-purpose neural units and their multi-level architecture called Hierarchical Object-oriented Spatio-Temporal Reasoning (HOSTR) networks. This neural model maintains the objects' consistent lifelines in the form of a hierarchically nested spatio-temporal graph. Within this graph, the dynamic interactive object-oriented representations are built up along the video sequence, hierarchically abstracted in a bottom-up manner, and converge toward the key information for the correct answer. The method is evaluated on multiple major Video QA datasets and establishes new state-of-the-arts in these tasks. Analysis into the model's behavior indicates that object-oriented reasoning is a reliable, interpretable and efficient approach to Video QA.
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Lee, Tae-Kyung, and Zoran S. Filipi. "Control Oriented Modeling and Nonlinear Model Predictive Control of Advanced SI Engine System." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4024.
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Control oriented model (COM) using crank-angle resolved flame propagation simulation and nonlinear model predictive control (NMPC) methodology for the purpose of transient control of HDOF engines are proposed in this paper. The nonlinear nature of the combustion process has been a challenge in building a reliable COM and engine simulation. Artificial neural networks (ANNs) are subsequently trained on the data generated with a quasi-D combustion model to create fast surrogate combustion models. System dynamics are augmented by manifold and actuator dynamics models. Then, NMPC for an internal combustion (IC) engine with a dual-independent variable valve timing (VVT) system is designed to achieve fast torque responses, to eliminate exhaust emissions penalty, and to track the optimal actuator response closely. The NMPC significantly improves engine dynamics and minimizes excursions of in-cylinder variables under highly transient operation. Dead-beat like control is achieved with selected prediction horizon and control horizon in the NMPC.
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Albers, Albert, Sarawut Lerspalungsanti, Tobias Du¨ser, and Sascha Ott. "Design Parameter Investigation in Customer-Oriented Drive Train Development Using Human Sensation Modeling Tools." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86363.
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The integration of customer demands in the early phase of product development process is one of most important aspects in the field of automotive engineering. In addition to a customer survey which generally requires drive tests of the real prototypes, methods based on the virtual product design have been applied more and more frequently. Due to the potential of simulation methods, the development time can be shortened and the costly prototypes as well as the time-consuming drive tests can be partially excluded. Earlier studies have demonstrated a capability of the developed methods and tools to support the customer-oriented drive train design by means of the prediction of the subjective comfort evaluation. In this case, the potential customers are classified into three groups based on their comfort expectation and style of driving. The rating from the customer point of view is accordingly achieved by modeling of the human sensation from the way the individual passengers make their evaluation by means of the Artificial Neural Networks (ANN). The objective of the current research is to implement the developed methods in the design phase of the drive train development process to enhance the customer comfortability. This article presents a systematic approach to apply the simulation methods in order to investigate different design parameters of the drive train and to determine the consequent customer comfort evaluation during each driving situation, the vehicle start-up as an example. For this purpose, the modification of the elaborated vehicle model is carried out by variation of the comfort-relevant design parameters, such as the friction coefficient gradient of the clutch friction pair, the mass of inertia and the damping of the components, like the dual mass flywheel. Depending on each drive train configuration and driver demand on the vehicle start-up, the simulated driving situation with different effects on the occurrence of the rotary vibration is evaluated by means of the human sensation model. This is developed during the drive tests on the basis of driver rating behavior. Based on the predicted comfort evaluations from different types of customer, the decisions made by the developer such as the determination of the clutch disk property or the damping setting of component can be efficiently supported during the drive train design. Hence, a new drive train concept can be tested and improved in such a way that the satisfaction of a target customer group from the first prototypes is obtained.
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Tarca, Radu, Mihai Cornea, Ioan Tarca, and Tiberiu Vesselenyi. "Designing a Networked Telerobotic System Using Internet." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82883.
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Experimentation is a very important part of education in engineering including mechatronics engineering, which is a relatively new field, combining three engineering disciplines: mechanical engineering, electrical engineering and software engineering. The equipments needed for experiments in mechatronics are usually expensive. A solution to make these expensive equipments achievable is to share them with other universities or research centers from different locations in the world. The goal of our team is to build a networked telerobot system so that the Internet users, especially researchers and students, can be able to control an autonomous robot able to explore a dynamic environment remotely from their home and share the robot system with the department. The particularity of the environment, in this case, is that the experiment uses grid lines painted on the floor, for robot navigation purpose. The system which is still under development will be able to increase the number of robots. The communication software technologies are based on PHP. A specific protocol over IP was designed for communication between the server and clients. The aim of this project is oriented toward providing a telerobot system with a high degree of local intelligence in order to overcome restricted bandwidth and transmission delay of the network.
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Lozano Albalate, María Teresa, Ana Isabel Allueva-Pinilla, José Luis Alejandre-Marco,, Raquel Trillo-Lado, Sergio Ilarri-Artigas, Carlos Sánchez-Azqueta, Lorena Fuentes-Broto, Susana Bayarri-Fernández, and Concepción Aldea-Chagoyen. "Projects to encourage female students in STEM areas." In Fifth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9474.
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Today, the number of female students that enrol in degrees related to Science, Technology, Engineering and Mathematics (STEM) areas is quite low. So, numerous initiatives have arisen to promote these degrees and encourage female students in these areas. In this context, the EuLES Network (u-Learning Environments in Higher Education), an interdisciplinary network created in 2010 at the University of Zaragoza (Spain) to foster research, interaction, cooperation and transfer of knowledge and technologies related to learning and open education, has developed two projects oriented to High School Students: “WikinformáticA! en Aragon” and “Women in STEM by EuLES”. WikinformáticA! en Aragón is a competition for student groups in which they develop a wiki on prominent women in the history of Information and Communication Technology (ICT). The objective is the visibility of women involved in technology. The purpose of the Women in STEM project is to offer testimonies of women in Science, Technology, Engineering and Mathematics to encourage scientific vocations, especially in young people and girls. The project consists of conducting video interviews of women who work or study in these disciplines. All the videos, along with a short biography, are posted on the web.
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Strenger, Natascha, and Nilgün Ulbrich. "Internationalization @ home in Engineering Education: Enhancing Social Capital in English-taught Master´s Programmes." In Fifth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9391.
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German higher education institutions attract students from all over the word for degree mobility, especially after the Bologna reform has led to an increase in internationally-oriented, English-taught study programmes. With such programmes, universities serve the politically intended purpose of attracting highly qualified talent in the form of international graduates that might potentially stay for the German job market. But for the transition from studies to the work market to be successful, it is essential for international students to acquire social capital in the form of contacts to people from the host country. This paper firstly presents results of a study on the situation of students who come to study in international engineering programmes at the Ruhr-Universität Bochum in Germany, focusing on the unsatisfactory contact situation of international and German students revealed in the study. Secondly, measures of the project ELLI2 – Excellent Teaching and Learning in Engineering Sciences – are introduced that aim at improving this situation, fascilitating contact between German and international engineering students. The set-up of a tandem-programme is presented, as well as participation structure and evaluation results of the first two runs of this programm in 2017/18. In addition, an international student council network will be introduced.
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Antalyalı, Ömer Lütfi, and Pınar Göktaş. "The Effect of the Network and Technology Oriented Applied Entrepreneurship Program on Entrepreneurial Knowledge and Skill Development of the Students." In International Conference on Eurasian Economies. Eurasian Economists Association, 2019. http://dx.doi.org/10.36880/c11.02307.
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In the framework of Turkey Entrepreneurship Strategy and Action Plan, there is highlighted to the importance of education of entrepreneurship and there is a need for practical training programs. The Network and Technology Oriented Applied Entrepreneurship Program was carried out as an exemplary model to answer the purpose. The aim of this study is to examine the effect of entrepreneurship knowledge and skills on development. Data were collected with a questionnaire (Evans, 2009; Linan et al., 2008), pre and post-test were applied. There are 162 participants who answered both pre-test and post-test. Although the entrepreneurship information of the participants has been improved, there has not been a significant improvement in entrepreneurial skills. Similar to previous studies, this study also showed a strong relationship between entrepreneurial knowledge and entrepreneurship skill in both pre-test and post-test data. However, in the ∆test formed from the post-test pre-test difference, the relationship between the change of entrepreneurship knowledge and the change in entrepreneurship skills was found to be weak. It was found that the knowledge development provided by the trainings was weak in predicting skill development. It can be said that the entrepreneurship education carried out is not healthy enough and carries a risk of not leaving any permanent impact on the participants. As a result of the findings, revisions that need to be realized in the design of entrepreneurship trainings are discussed.