Academic literature on the topic 'Design driven, relational design, network design, co-design'
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Journal articles on the topic "Design driven, relational design, network design, co-design"
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Spreen, Marinus, and Stefan Bogaerts. "B-Graph Sampling to Estimate the Size of a Hidden Population." Journal of Official Statistics 31, no. 4 (December 1, 2015): 723–36. http://dx.doi.org/10.1515/jos-2015-0042.
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Abstract Link-tracing designs are often used to estimate the size of hidden populations by utilizing the relational links between their members. A major problem in studies of hidden populations is the lack of a convenient sampling frame. The most frequently applied design in studies of hidden populations is respondent-driven sampling in which no sampling frame is used. However, in some studies multiple but incomplete sampling frames are available. In this article, we introduce the B-graph design that can be used in such situations. In this design, all available incomplete sampling frames are joined and turned into one sampling frame, from which a random sample is drawn and selected respondents are asked to mention their contacts. By considering the population as a bipartite graph of a two-mode network (those from the sampling frame and those who are not on the frame), the number of respondents who are directly linked to the sampling frame members can be estimated using Chao’s and Zelterman’s estimators for sparse data. The B-graph sampling design is illustrated using the data of a social network study from Utrecht, the Netherlands.
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Batra, Dinesh, and Nicole Wishart. "Novice Designer Performance Comparison Between the Entity Relationship Event Network and the Event-Based Logical Relational Design Techniques." Journal of Database Management 25, no. 3 (July 2014): 1–27. http://dx.doi.org/10.4018/jdm.2014070101.
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Previous information systems (IS) research has established that novice database designers experience cognitive overload when faced with many interacting entities in modeling relationships. The authors contend that this problem occurs mainly when events are involved. Results of an initial study provide support that novice database designers indeed have difficulty recognizing and modeling events. They propose two techniques that can address the difficulties encountered by novices when modeling events using the entity-relationship model. Entity-relationship event network (EREN) is a top-down and template-driven technique. Event-based logical relational design (ELRD) is a bottom-up and heuristic-driven technique. Employing the cognitive load theory (CLT) to guide the hypotheses, the authors compare the usability of EREN and ELRD for novice designers. Results indicate that both techniques facilitate satisfactory designer performance when modeling events. Overall, the ELRD technique leads to better designer performance. There is an interaction effect between technique and task complexity as the significant performance advantage of ELRD at the lower-complexity task gets mitigated at the higher-complexity task. The two techniques do not differ significantly on the constructs of behavioral intention to use, perceived usefulness, perceived ease of use, and self-efficacy. Overall, the ELRD technique is recommended for modeling events.
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Junaid Ahmad, Ali. "A mechanisms-driven theory of business incubation." International Journal of Entrepreneurial Behavior & Research 20, no. 4 (May 27, 2014): 375–405. http://dx.doi.org/10.1108/ijebr-11-2012-0133.
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Purpose – Following recommendations by scholars for further research on the business incubation process, the purpose of this paper is to build new theory on incubation using the social mechanisms approach – a well-developed body of theory on social processes. Design/methodology/approach – A critical review of dominant theoretical approaches in the area highlighted that researchers in the past have not studied incubation as a social “process.” In order to study a social process such as incubation, a case is made for the value of social mechanisms theory. In order to study incubation as a social mechanism, an inductive-qualitative research design based on ethnography was used. Data were collected over six months each at two Dublin-Ireland-based business incubators. Findings – Results highlight the significant role of a positive relational bond between the incubator manager and client entrepreneurs. Incubation is triggered in a sophisticated normative environment under the prevalence of ground rules, subtle signals and the interplay of personal histories. These contribute to the incubation mechanism's non-linearity, thereby, making the prediction of outcomes difficult. Originality/value – A contribution of this research comes in the form of a new conceptualization of incubation based in mechanisms reasoning. The mechanisms approach was found to be versatile and helped in extending the work of previous researchers who proposed advancements in the area based on dyadic theory, social capital theory and social network theory. Further, a new, and it is argued, more fruitful direction for incubation process-related research is also highlighted; one which takes on board the often glossed over idiosyncrasies of incubation as a social mechanism for promoting early stage entrepreneurship.
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Esbai, Redouane, Fouad Elotmani, and Fatima Zahra Belkadi. "Toward Automatic Generation of Column-Oriented NoSQL Databases in Big Data Context." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 09 (June 14, 2019): 4. http://dx.doi.org/10.3991/ijoe.v15i09.10433.
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<span>The growth of application architectures in all areas (e.g. Astrology, Meteorology, E-commerce, social network, etc.) has resulted in an exponential increase in data volumes, now measured in Petabytes. Managing these volumes of data has become a problem that relational databases are no longer able to handle because of the acidity properties. In response to this scaling up, new concepts have emerged such as NoSQL. In this paper, we show how to design and apply transformation rules to migrate from an SQL relational database to a Big Data solution within NoSQL. For this, we use the Model Driven Architecture (MDA) and the transformation languages like as MOF 2.0 QVT (Meta-Object Facility 2.0 Query-View-Transformation) and Acceleo which define the meta-models for the development of transformation model. The transformation rules defined in this work can generate, from the class diagram, a CQL code for creation column-oriented NoSQL database.</span>
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Szárnyas, Gábor, Jack Waudby, Benjamin A. Steer, Dávid Szakállas, Altan Birler, Mingxi Wu, Yuchen Zhang, and Peter Boncz. "The LDBC Social Network Benchmark." Proceedings of the VLDB Endowment 16, no. 4 (December 2022): 877–90. http://dx.doi.org/10.14778/3574245.3574270.
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The Social Network Benchmark's Business Intelligence workload (SNB BI) is a comprehensive graph OLAP benchmark targeting analytical data systems capable of supporting graph workloads. This paper marks the finalization of almost a decade of research in academia and industry via the Linked Data Benchmark Council (LDBC). SNB BI advances the state-of-the art in synthetic and scalable analytical database benchmarks in many aspects. Its base is a sophisticated data generator, implemented on a scalable distributed infrastructure, that produces a social graph with small-world phenomena, whose value properties follow skewed and correlated distributions and where values correlate with structure. This is a temporal graph where all nodes and edges follow lifespan-based rules with temporal skew enabling realistic and consistent temporal inserts and (recursive) deletes. The query workload exploiting this skew and correlation is based on LDBC's "choke point"-driven design methodology and will entice technical and scientific improvements in future (graph) database systems. SNB BI includes the first adoption of "parameter curation" in an analytical benchmark, a technique that ensures stable runtimes of query variants across different parameter values. Two performance metrics characterize peak single-query performance (power) and sustained concurrent query throughput. To demonstrate the portability of the benchmark, we present experimental results on a relational and a graph DBMS. Note that these do not constitute an official LDBC Benchmark Result - only audited results can use this trademarked term.
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Ma, Jun. "The modern transformation of family governance: co-evolve of family authority and family formal institution." Nankai Business Review International 12, no. 3 (August 30, 2021): 313–39. http://dx.doi.org/10.1108/nbri-07-2020-0036.
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Purpose This paper aims to investigate the co-evolve relationship between informal relational governance (i.e. family involvement and personal authority) and family formal governance system in the process of growth and transformation. This co-evolve relationship is especially affected by the external institutional environment and market competition power. Thus, in the comprehensive process of deepening the reform and changing market, the modern transformation of family business means that rediscovery of unique superiority of family business and the core of this transformation is the governance of status privileges and private interests. Design/methodology/approach To test the hypotheses, this paper uses the 9th Chinese Private Enterprise Survey in 2010. A total of 4,900 questionnaires are issued, 4,614 are recovered and the total recovery rate is 94.16%. After clean the data, the study obtained 1,239 samples. To overcome the possible existence of heteroscedasticity, this study uses the feasible generalized least squares (FGLS) to estimate the model. Besides, as for dummy dependent variables, this study uses logistics regression. Findings This paper makes an empirical test for the evolution of family governance driven by institutional change and organizational growth willingness in the process of growth and transformation, including a co-evolve relationship between family involvement and governance institution. Meanwhile, the empirical analysis comes to the conclusion that the institutional constraint to relational governance improves firm performance, which further promotes the modern transformation of family business governance. Practical implications It is the key to transformation to the modern corporate organization that family business could beyond the intervention of the traditional nepotism, patriarchal authority and family will. The fundamental of this process is to take advantage of formal institutions to manage family power. Originality/value This paper discusses the modern transformation of the formal organization from the perspective of modern ideal dominant type proposed by Max Weber. Modern organization is a hybrid system of the non-personified and personified institution. The primary reason why modern organization suffered erosion and destruction is that informal institution (status and relationship network) were endowed with legal privileges and private interests in modern organization including family business. The governance of privileges and private interests has become the core issue that whether the family business could play an instrumental value and realize modern transformation successfully.
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Yang, Lei, Hong Lin, Chang Han, Hassan Karampour, Haochen Luan, Pingping Han, Hao Xu, and Shuo Zhang. "A Data-Driven Intelligent Prediction Approach for Collision Responses of Honeycomb Reinforced Pipe Pile of the Offshore Platform." Journal of Marine Science and Engineering 11, no. 3 (February 26, 2023): 510. http://dx.doi.org/10.3390/jmse11030510.
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The potential collision between the ship and the pipe piles of the jacket structure brings huge risks to the safety of an offshore platform. Due to their high energy-absorbing capacity, honeycomb structures have been widely used as impact protectors in various engineering applications. This paper proposes a data-driven intelligent approach for the prediction of the collision response of honeycomb-reinforced structures under ship collision. In the proposed model, the artificial neural network (ANN) is combined with the dynamic particle swarm optimization (DPSO) algorithm to predict the collision responses of honeycomb reinforced pipe piles, including the maximum collision depth (δmax) and maximum absorption energy (Emax). Furthermore, a data-driven evaluation method, known as grey relational analysis (GRA), is proposed to evaluate the collision responses of the honeycomb-reinforced pipe piles of offshore platforms. Results of the case study demonstrate the accuracy of the DPSO-BP-ANN model, with measured mean-square-error (MSE) of 5.06 × 10−4 and 4.35 × 10−3 and R2 of 0.9906 and 0.9963 for δmax and Emax, respectively. It is shown that the GRA method can provide a comprehensive evaluation of the performance of a honeycomb structure under impact loads. The proposed model provides a robust and efficient assessment tool for the safe design of offshore platforms under ship collisions.
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Wang, Chao, Longfeng Zhao, André L. M. Vilela, and Ming K. Lim. "The evolution of Industrial Management & Data Systems over the past 25 years." Industrial Management & Data Systems 119, no. 1 (February 4, 2019): 2–34. http://dx.doi.org/10.1108/imds-11-2018-0506.
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Purpose The purpose of this paper is to examine publication characteristics and dynamic evolution of the Industrial Management & Data Systems (IMDS) over the past 25 years from volume 94, issue 1, in 1994 through volume 118, issue 9, in 2018, using a bibliometric analysis, and identify the leading trends that have affected the journal during this time frame. Design/methodology/approach A bibliometric approach was used to provide a basic overview of the IMDS, including distribution of publication and citations, articles citing the IMDS, top-cited papers and publication patterns. Then, a complex network analysis was employed to present the most productive, influential and active authors, institutes and countries/regions. In addition, cluster analysis and alluvial diagram were used to analyze author keywords. Findings This study presents the basic bibliometric results for the IMDS and focuses on exploring its performance over the last 25 years. And it reveals the most productive, influential and active authors, institutes and countries/regions in IMDS. Moreover, this study detects the existence of at least five different keywords clusters and discovers how themes have evolved through the intricate citation relationships in IMDS. Originality/value The main contribution of this paper is the use of multiple analysis techniques from a complex network paradigm to emphasize the time evolving nature of the co-occurrence networks and to explore the variation of the collaboration networks in the IMDS. For the first time, the evolution of research themes is revealed with a purely data-driven approach.
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Orduña-Malea, Enrique, Emilio Delgado López-Cózar, Jorge Serrano-Cobos, and Nuria Lloret Romero. "Disclosing the network structure of private companies on the web." Online Information Review 39, no. 3 (June 8, 2015): 360–82. http://dx.doi.org/10.1108/oir-11-2014-0282.
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Purpose – It is common for an international company to have different brands, products or services, information for investors, a corporate blog, affiliates, branches in different countries, etc. If all these contents appear as independent additional web domains (AWDs), the company should be represented on the web by all these web domains, since many of these AWDs may acquire remarkable performance that could mask or distort the real web performance of the company, affecting therefore on the understanding of web metrics. The purpose of this paper is to determine the amount, type, web impact and topology of the AWDs in commercial companies in order to get a better understanding on their complete web impact and structure. Design/methodology/approach – The set of companies belonging to the Spanish IBEX-35 stock index has been analysed as testing bench. The authors proceeded to identify and categorise all AWDs belonging to these companies, and to apply both web impact (web presence and visibility) and network metrics. Findings – The results show that AWDs get a high web presence but relatively low web visibility, due to certain opacity or less dissemination of some AWDs favoring its isolation. This is verified by the low network density values obtained, that occur because AWDs are strongly connected with the corporate domain (although asymmetrically), but very weakly linked each other. Research limitations/implications – The categories used to classify the various AWD, although they are clearly distinguishable conceptually, have certain limitations in practice, since they depend on the form adopted by companies to publish certain content or to provide certain services or products. Otherwise, the use of web indicators presents certain problems of accuracy that could be softened if applied with caution and in a relational basis. Originality/value – Although the processes of AWDs creation and categorisation are complex (web policy seems not to be driven by a defined or conscious plan), their influence on the web performance of IBEX 35 companies is meaningful. This research measures the AWDs influence on companies under webometric terms for the first time.
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Vahidy, Farhaan, Stephen L. Jones, Mauricio E. Tano, Juan Carlos Nicolas, Osman A. Khan, Jennifer R. Meeks, Alan P. Pan, et al. "Rapid Response to Drive COVID-19 Research in a Learning Health Care System: Rationale and Design of the Houston Methodist COVID-19 Surveillance and Outcomes Registry (CURATOR)." JMIR Medical Informatics 9, no. 2 (February 23, 2021): e26773. http://dx.doi.org/10.2196/26773.
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Background The COVID-19 pandemic has exacerbated the challenges of meaningful health care digitization. The need for rapid yet validated decision-making requires robust data infrastructure. Organizations with a focus on learning health care (LHC) systems tend to adapt better to rapidly evolving data needs. Few studies have demonstrated a successful implementation of data digitization principles in an LHC context across health care systems during the COVID-19 pandemic. Objective We share our experience and provide a framework for assembling and organizing multidisciplinary resources, structuring and regulating research needs, and developing a single source of truth (SSoT) for COVID-19 research by applying fundamental principles of health care digitization, in the context of LHC systems across a complex health care organization. Methods Houston Methodist (HM) comprises eight tertiary care hospitals and an expansive primary care network across Greater Houston, Texas. During the early phase of the pandemic, institutional leadership envisioned the need to streamline COVID-19 research and established the retrospective research task force (RRTF). We describe an account of the structure, functioning, and productivity of the RRTF. We further elucidate the technical and structural details of a comprehensive data repository—the HM COVID-19 Surveillance and Outcomes Registry (CURATOR). We particularly highlight how CURATOR conforms to standard health care digitization principles in the LHC context. Results The HM COVID-19 RRTF comprises expertise in epidemiology, health systems, clinical domains, data sciences, information technology, and research regulation. The RRTF initially convened in March 2020 to prioritize and streamline COVID-19 observational research; to date, it has reviewed over 60 protocols and made recommendations to the institutional review board (IRB). The RRTF also established the charter for CURATOR, which in itself was IRB-approved in April 2020. CURATOR is a relational structured query language database that is directly populated with data from electronic health records, via largely automated extract, transform, and load procedures. The CURATOR design enables longitudinal tracking of COVID-19 cases and controls before and after COVID-19 testing. CURATOR has been set up following the SSoT principle and is harmonized across other COVID-19 data sources. CURATOR eliminates data silos by leveraging unique and disparate big data sources for COVID-19 research and provides a platform to capitalize on institutional investment in cloud computing. It currently hosts deeply phenotyped sociodemographic, clinical, and outcomes data of approximately 200,000 individuals tested for COVID-19. It supports more than 30 IRB-approved protocols across several clinical domains and has generated numerous publications from its core and associated data sources. Conclusions A data-driven decision-making strategy is paramount to the success of health care organizations. Investment in cross-disciplinary expertise, health care technology, and leadership commitment are key ingredients to foster an LHC system. Such systems can mitigate the effects of ongoing and future health care catastrophes by providing timely and validated decision support.
Dissertations / Theses on the topic "Design driven, relational design, network design, co-design"
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Filieri, Jurji. "Design in the edge. Casi, metodi e strumenti per l'innovazione design driven in contesti relazionali periferici." Doctoral thesis, 2018. http://hdl.handle.net/2158/1129282.
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La modernità non esiste più, liquefatta in fluido Post-Moderno sotto il peso delle macerie delle ideologie e mutata in schiuma Post-digitale all’esordio del terzo millennio.
La generazione Millennial nasce sotto una tempesta di impulsi informativi, da cui ha imparato a selezionare contenuti, ecco perché sono andate in crisi le ideologie (le grandi narrazioni come le definisce Umberto Eco) e il sistema tradizionale del design oggi soffre. Infondo tutte le narrazioni ideologiche hanno una genitura oligarchica unidirezionale (frutto del dialogo tra designer e impresa), veicolata attraverso processi top-down poco democratici anche nei casi più illuminati.
Oggi le narrazioni sono ancora utili per il racconto del design, ma divengono meno rilevanti quelle costruite dentro alla fabbrica, a favore di centri di interesse che stanno tutti al di fuori, dentro alle frazioni esterne e di confine della società interconnessa, che mutano e si riorganizzano iterativamente, in modo sempre più simile a organismi biologici.
In questo quadro, il designer non è più solo interprete dei bisogni, bensì un agente attivante, un agitatore, capace di generare legami deboli tra il centro del sistema della produzione e i bordi, dove innovazione e efficacia di progetto dipendono dalla capacità di cogliere prontamente segnali di peculiarità locale.
Modernity no longer exists, as it has firstly liquefied in Post-Modern fluid under the weight of the ruins of ideologies, and then it has changed into a Post-digital foam, at the beginning of the third millennium.
The Millennial generation was born under a storm of informative impulses, by the which he learned to select contents. That's why most of the ideologies (great narratives as Umberto Eco said) have fallen into crisis, and the traditional design system suffers. After all any traditional narrative has unidirectional oligarchical inception (growing from dialogue between designer and producer), conveyed through undemocratic top-down processes, even in the most knowledgeable cases.
Narratives are still useful for the story of design. However all the inside-the-factory stories become less relevant, in favour of other focuses placed abroad, inside the outstanding fractions and the edges of the interconnected society, that are always reorganizing iteratively, more and more like biological organisms.
In the frame of the present analysis, designer is no longer just a detector of needs, but an activating agent or an agitator, capable of generating weak links between the centre of the production system and the borders, where the innovation and effectiveness comes from swift understanding of local peculiarities.
Book chapters on the topic "Design driven, relational design, network design, co-design"
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Tremblay, Genevieve G., and Jeff Brice. "Art + Science Knowledge Building." In Advances in Educational Technologies and Instructional Design, 106–35. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-1928-8.ch007.
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ASKXXI, Arts and Science Knowledge Building and Sharing in the XXI Century, was an inter-hemispheric, post-secondary diploma program pilot aimed at fostering collaboration in art, emerging digital/virtual technologies, and the ecological sciences. New approaches to narrative creation were introduced through innovative technology workshops in visualization, 3D imaging, 3D printing, virtual, mixed reality, and data visualization. The authors share their dimensional approach that delivered cross-cultural insights, technical training, professional development, mentorship, and network development opportunities. Expanding definitions of CBE and personalized learning support, the new career opportunities in a rapidly changing landscape, the relational, place-based, collaborative, and inquiry-driven learning developed through this pilot program is what the authors identify as a frontier ecosystem in education. They reflect on and share their findings and offer new perspectives on expanded models of competency-based education for academic and workplace credentials.
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Yoon, Kanghyun, and Jeanetta D. Sims. "Re-Conceptualizing Relational Integrated Marketing Communications from the Perspective of Social CRM." In Integrating Social Media into Business Practice, Applications, Management, and Models, 222–53. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6182-0.ch012.
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As a new emerging trend, social Customer Relationship Management (social CRM) can be defined as the business practice of promoting voluntary customer engagement activities driven by social media into the value creation process in order to build long-term co-beneficial relationships with target customers as the ultimate end-goal of customer relationship management. Following the spirit of social CRM, this chapter is intended to propose conceptual guidelines for the design of effective relational integrated marketing communications strategies, including message and media strategies, with particular focus on the promotion of opinion leaders' voluntary engaged efforts with others in a typical social network setting. By implanting the power of social media in relational integrated marketing communications strategies, marketers are able to put the “relationship” back into CRM in order to restore its true meaning – building better long-term relationships with customers.
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Yoon, Kanghyun, and Jeanetta D. Sims. "Re-Conceptualizing Relational Integrated Marketing Communications from the Perspective of Social CRM." In Marketing and Consumer Behavior, 2102–34. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7357-1.ch104.
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As a new emerging trend, social Customer Relationship Management (social CRM) can be defined as the business practice of promoting voluntary customer engagement activities driven by social media into the value creation process in order to build long-term co-beneficial relationships with target customers as the ultimate end-goal of customer relationship management. Following the spirit of social CRM, this chapter is intended to propose conceptual guidelines for the design of effective relational integrated marketing communications strategies, including message and media strategies, with particular focus on the promotion of opinion leaders' voluntary engaged efforts with others in a typical social network setting. By implanting the power of social media in relational integrated marketing communications strategies, marketers are able to put the “relationship” back into CRM in order to restore its true meaning – building better long-term relationships with customers.
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Pappalardo, Elisa, and Domenico Cantone. "Database Systems in Biology." In Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems, 80–96. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3946-1.ch007.
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The successful sequencing of the genoma of various species leads to a great amount of data that need to be managed and analyzed. With the increasing popularity of high-throughput sequencing technologies, such data require the design of flexible scalable, efficient algorithms and enterprise data structures to be manipulated by both biologists and computational scientists; this emerging scenario requires flexible, scalable, efficient algorithms and enterprise data structures. This chapter focuses on the design of large scale database-driven applications for genomic and proteomic data; it is largely believed that biological databases are similar to any standard database-drive application; however, a number of different and increasingly complex challenges arises. In particular, while standard databases are used just to manage information, in biology, they represent a main source for further computational analysis, which frequently focuses on the identification of relations and properties of a network of entities. The analysis starts from the first text-based storage approach and ends with new insights on object relational mapping for biological data.
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Quadri, Imran Rafiq, Majdi Elhaji, Samy Meftali, and Jean-Luc Dekeyser. "From MARTE to Reconfigurable NoCs." In Dynamic Reconfigurable Network-on-Chip Design, 135–57. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-807-4.ch006.
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Due to the continuous exponential rise in SoC’s design complexity, there is a critical need to find new seamless methodologies and tools to handle the SoC co-design aspects. We address this issue and propose a novel SoC co-design methodology based on Model Driven Engineering and the MARTE (Modeling and Analysis of Real-Time and Embedded Systems) standard proposed by Object Management Group, to raise the design abstraction levels. Extensions of this standard have enabled us to move from high level specifications to execution platforms such as reconfigurable FPGAs. In this chapter, we present a high level modeling approach that targets modern Network on Chips systems. The overall objective: to perform system modeling at a high abstraction level expressed in Unified Modeling Language (UML); and afterwards, transform these high level models into detailed enriched lower level models in order to automatically generate the necessary code for final FPGA synthesis.
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"A Relational Food Network: Strategy and Tools to Co-design a Local Foodshed." In Eat, Cook, Grow. The MIT Press, 2014. http://dx.doi.org/10.7551/mitpress/9371.003.0004.
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Gros, C. "Emotions, Diffusive Emotional Control and the Motivational Problem for Autonomous Cognitive Systems." In Handbook of Research on Synthetic Emotions and Sociable Robotics, 119–32. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-354-8.ch007.
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All self-active living beings need to solve the motivational problem—the question of what to do at any moment of their life. For humans and non-human animals at least two distinct layers of motivational drives are known, the primary needs for survival and the emotional drives leading to a wide range of sophisticated strategies, such as explorative learning and socializing. Part of the emotional layer of drives has universal facets, being beneficial in an extended range of environmental settings. Emotions are triggered in the brain by the release of neuromodulators, which are, at the same time, are the agents for meta-learning. This intrinsic relation between emotions, meta-learning and universal action strategies suggests a central importance for emotional control for the design of artificial intelligences and synthetic cognitive systems. An implementation of this concept is proposed in terms of a dense and homogeneous associative network (dHan).
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Gros, C. "Emotions, Diffusive Emotional Control and the Motivational Problem for Autonomous Cognitive Systems." In Machine Learning, 1784–97. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch706.
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All self-active living beings need to solve the motivational problem—the question of what to do at any moment of their life. For humans and non-human animals at least two distinct layers of motivational drives are known, the primary needs for survival and the emotional drives leading to a wide range of sophisticated strategies, such as explorative learning and socializing. Part of the emotional layer of drives has universal facets, being beneficial in an extended range of environmental settings. Emotions are triggered in the brain by the release of neuromodulators, which are, at the same time, are the agents for meta-learning. This intrinsic relation between emotions, meta-learning and universal action strategies suggests a central importance for emotional control for the design of artificial intelligences and synthetic cognitive systems. An implementation of this concept is proposed in terms of a dense and homogeneous associative network (dHan).
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Jih, Wen-Jang (Kenny). "Maximizing Social Presence to Improve Website Loyalty." In Research Anthology on Strategies for Using Social Media as a Service and Tool in Business, 304–19. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-9020-1.ch015.
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Technology plays a crucial role in the development of customer brand loyalty. However, technological user interface often falls short on major important aspects of business interaction, such as context-based exchange of information and opinions. Adding social networking features to the corporate website is an attempt to mitigate this weakness. This chapter investigates the driving forces of website loyalty, an issue of interest to the businesses deploying social networks as a new technological tool for business promotion. Using Facebook as the target of observation, this study evaluates the effects of social presence and social capital on website loyalty. The analysis reveals a positive influence of social presence on all three (structural, relational, and cognitive) dimensions of social capital. Further, both the relational and cognitive dimensions of social capital show positive influence on the website loyalty. These findings have practical implications for company seeking to cultivate brand loyalty via website design and management.
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Jih, Wen-Jang (Kenny). "Maximizing Social Presence to Improve Website Loyalty." In Diverse Methods in Customer Relationship Marketing and Management, 223–38. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5619-0.ch012.
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Technology plays a crucial role in the development of customer brand loyalty. However, technological user interface often falls short on major important aspects of business interaction, such as context-based exchange of information and opinions. Adding social networking features to the corporate website is an attempt to mitigate this weakness. This chapter investigates the driving forces of website loyalty, an issue of interest to the businesses deploying social networks as a new technological tool for business promotion. Using Facebook as the target of observation, this study evaluates the effects of social presence and social capital on website loyalty. The analysis reveals a positive influence of social presence on all three (structural, relational, and cognitive) dimensions of social capital. Further, both the relational and cognitive dimensions of social capital show positive influence on the website loyalty. These findings have practical implications for company seeking to cultivate brand loyalty via website design and management.
Conference papers on the topic "Design driven, relational design, network design, co-design"
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Wang, Mingxian, Zhenghui Sha, Yun Huang, Noshir Contractor, Yan Fu, and Wei Chen. "Forecasting Technological Impacts on Customers’ Co-Consideration Behaviors: A Data-Driven Network Analysis Approach." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60015.
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Forecasting customers’ responses and market competitions is essential before launching major technological changes in product design. In this research, we present a data-driven network analysis approach to understand the interactions among technologies, products, and customers. Such an approach provides a quantitative assessment of the impact of technological changes on customers’ co-consideration behaviors. The multiple regression quadratic assignment procedure (MRQAP) is employed to quantitatively predict product co-consideration relations as a function of various effect networks created by associations of product attributes and customer demographics. The uniqueness of the proposed approach is its capability of predicting complex relationships of product co-consideration as a network. Using vehicles as a case study, we forecast the impacts of two technological changes — adopting the fuel economy-boosting technology and the turbo engine technology by individual auto companies. The case study provides vehicle designers with insights into the change of market competitions brought by new technological developments. Our proposed approach links the market complexity to technology features and subsequently product design attributes to guide engineering design decisions in the complex customer-product systems.
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Xie, Jian, Youyi Bi, Zhenghui Sha, Mingxian Wang, Yan Fu, Noshir Contractor, Lin Gong, and Wei Chen. "Data-Driven Dynamic Network Modeling for Analyzing the Evolution of Product Competitions." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-98385.
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Abstract Understanding the impact of engineering design on product competitions is imperative for product designers to better address customer needs and develop more competitive products. In this paper, we propose a dynamic network based approach to modeling and analyzing the evolution of product competitions using multi-year product survey data. We adopt Separate Temporal Exponential Random Graph Model (STERGM) as the statistical inference framework because it considers the evolution of dynamic networks as two separate processes: formation and dissolution. This treatment allows designers to investigate why two products enter into competition and why a competitive relationship preserves or dissolves over time. In an open market, the available products to customers are continuously changing over the time, posing challenges for conventional modeling methods concerning fixed product input. Consequently, we propose to leverage “structural zeros” in STERGM to tackle the problem of modeling varying product competitors as nodes in dynamic networks. We use China’s automotive market as a case study to illustrate the implementation of the proposed approach and its benefits compared to the static network modeling approach based on Exponential Random Graph Model (ERGM). The results show that our approach identifies the driving factors associated with product attributes and current market competition structures for the change of competition in both formation and dissolution processes. The insights gained from this paper can help designers better interpret the temporal changes of product competition relations and make product design decisions with the aid of dynamic network-based models.
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Battistoni, Chiara, Agnese Pallaro, and Leire Arrizabalaga Arambarri. "Systemic Design for a sustainable local economic development: Lea-Artibai case study." In Systems & Design: Beyond Processes and Thinking. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/ifdp.2016.3309.
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The Systemic Design approach provides a methodology to define complex territorial network of companies with reduced environmental impact. This method defines a way of analysis to understand and map the complexity of current issues addressing them at different levels, in order to design appropriate and long lasting solutions mainly based on the increase of relations between the involved actors. The creation of a network of connections permits to obtain several positive outcomes that involve both the territory and the society that lives in it and it also makes the system more resilient. An holistic diagnosis is the starting point for the identification of different areas to develop a systemic project. This methodology was applied to Lea-Artibai, a department of the Basque Country. Its economy is historically based on forestry and fishing that are currently facing a long-lasting crisis and it is difficult to intervene in these sectors for the complexity of the regulatory system. The holistic diagnosis highlighted other territorial potentialities of the area, mainly the agri-food sector (with traditional products and dishes) and the deeply rooted culture of cooperation. As a kick-off for the creation of the net between the different actors of the department was chosen the creation of a 'Systemic Buying Group (SBG)'. It enables to start the cooperation between the partners for the success of the pilot project: a large cooperative with its employees as potential clients, a cooperative of local producers and transformers, a little shop working as the bridge of communication between them. At their side operate AZARO fundazioa (a private non –profit centre for entrepreneurship and innovation that promotes the creation of new businesses and the competitive improvement of the business network) as the coordinator of the project and the Systemic Design Group of Politecnico di Torino in the role of project leader. The project underlines the role of design as a deeply interdisciplinary field of work that is able to talk and cooperate with different disciplines to reach a collective goal: the environmental, social and economic sustainability. The SBG becomes the driver of change for the enhancement of the territory and the implementation of systemic design in the area, for an economy based on the quality instead of the quantity. A concrete action that acts on a small scale permits to manage the transition from the design of intangible to tangible.DOI: http://dx.doi.org/10.4995/IFDP.2016.3309
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Wang, Jun, Sonjoy Das, Chi Zhou, and Rahul Rai. "Data-Driven Simulation for Fast Prediction of Pull-Up Process in Bottom-Up Stereo-Lithography." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59723.
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Developing cohesive finite element simulation models of the pull-up process in bottom-up stereo-lithography (SLA) system can significantly increase the reliability and through-put of the bottom-up SLA process. Pull-up process modeling investigates relation between motion profile and crack initialization and propagation during the separation process. However, finite element (FE) simulation of the pull-up process is computationally very expensive and time-consuming. This paper outlines a method to quickly predict the separation stress distribution based on 2D shape grid mapping and neural network. Sixteen cohesive FE models with various cross-section shapes form our database. Specific 2D shape grid mapping was utilized to describe each shape by generating a sorted binary vector. A backpropagation (BP) neural network was then trained using binary vectors, material properties, and FE simulated pull-up separation stress distribution. Given material properties, the trained model can then be used to predict the pull-up separation stress distribution of a new shape. The results demonstrate that the proposed data driven method can drastically reduce computing costs. The comparison between the predicted values by the data driven approach and simulated FE models verify the validity of the proposed method.
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ElBanhawy, Eiman, Ruth Dalton, and Emine Mine Thompson. "Interrogating the Relation between E-Mobility Recharging Network Design and Drivers' Charging Behaviour." In eCAADe 2014: Fusion. eCAADe, 2014. http://dx.doi.org/10.52842/conf.ecaade.2014.1.213.
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ASCANI, Michela, and Gaetano MARTINO. "OBJECTIVES AND RESOURCES USES RANKING IN SOLIDARITY PURCHASING GROUPS: LITERATURE REVIEW AND DESIGN PRINCIPLES." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.061.
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The objective of the paper is investigating food networks (FNs), focusing on the emerging of recurring themes in literature and investigating how the networks relationships may influence the resources uses in farming activities. The research was carried out through access to Web of Science and Scopus databases in order to investigate the literature on FNs. The period considered is 2000-2016, using as selected key words food networks, food and practices, alternative food networks. Then we selected and classified the resulting articles and identified a set of themes addressed in literature. The main outcome of this analysis is the identification of the following themes: a) common/shared FNs characteristics; b) trust creation and embeddedness facilitated by face to face relations; c) role of FNs in transformation of food systems towards social, environmental and health objectives; d) food citizenship/sovereignty-civil engagement; e) values inspiring FNs objectives, namely sustainability, fairness/social justice, health protection, ethical consumption/political action; f) governance of the consumers-producers relations. We argue that identified themes are dimensions related to FNs objectives. More precisely we then conceptualize the identified characteristics as drivers of the ranking of resource uses in farming systems. Elaborating on this idea we derive principles for supporting the design of governance of these groups. The study concludes underlying the complexity of food networks and their capability to influence the resources uses by setting up flexible but resilient governance structures.
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Song, Binyang, Jianxi Luo, Rajesh Elara Mohan, and Kristin L. Wood. "Data-Driven Function Network Analysis for Product Platform Planning: A Case Study of Spherical Rolling Robots." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85759.
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A properly designed product-system platform can reduce the cost and lead-time to design and develop a product family and thus achieve the tradeoff between economy of scope from product variety and economy of scale from platform sharing. Traditionally, product platform planning uses heuristic and manual approaches and relies on expertise and intuition. In this paper, we propose a data-driven method to draw the boundary of a platform, complementing other platform design approaches and assisting designers in the architecting process. The method generates a network of functions through relationships of their co-occurrences in prior designs of a product domain, and uses a network analysis algorithm to identify an optimal core-periphery structure. Functions identified in the network core co-occur cohesively and frequently with one another in prior designs, and thus are suggested for inclusion in the potential platform to be shared across a variety of product-systems with peripheral functions. We apply the method to identifying the platform functions for spherical rolling robots, based on patent data.
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Zheng, Zhonghai, Lin Fu, Zi Wu, Xiling Zhao, and Yanting Wu. "An Innovative Heating Energy System Planning and Design: Case of Yinchuan City." In ASME 2013 7th International Conference on Energy Sustainability collocated with the ASME 2013 Heat Transfer Summer Conference and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/es2013-18399.
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The current heating system in Yinchuan city, the capital of the Ningxia Autonomous Region in northwest China, is investigated and analyzed. Lacking an integrated planning, the heating systems have developed with low energy efficiency, high environment emission and economic cost. The choice of heating energy structure vary between coal and gas, the heating modes including gas-fired CHP, coal-fired CHP, gas-fired boiler and coal-fired boiler are facing challenges. In this paper, several innovative planning scenarios are proposed to achieve high energy efficiency, low environment emission and reasonable economic cost. In the heating schemes, three innovative technologies are designed. The first technology is waste heat recovery based on the Co-generation-based absorption heat-exchange (Co-ah) cycle. The waste heat can be both from circulating water or flue gas in CHP heating system and the industrial waste heat recovery. The second technology is the heating network with large temperature difference. The third technology is the gas distributed peak-shaving, gas-driven absorption heat-exchange in the substation.
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Li, Sheng, and Cliff J. Lissenden. "Modeling Ultrasonic Guided Wave Generation From Piezoelectric Fiber Composite Strip Actuators." In ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2010. http://dx.doi.org/10.1115/smasis2010-3771.
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Structural health monitoring (SHM) and condition based maintenance (CBM) are keys to shifting the paradigm from schedule based maintenance to cost effective operation and maintenance of reliable systems. Continuous comb transducer strips have the potential to generate ultrasonic guided waves for structural health monitoring of plate and shell structures (pipelines, pressure vessels, storage tanks, airframes). A theoretically driven approach, based on the application of wave mechanics principles, is used to research and design a network of strip sensor. Fibrous piezoelectric composites are considered for the comb elements, widely expanding the design space of these elements to include fiber orientation and volume fraction in addition to size, configuration, and location of the electrodes. Piezoelectric and mechanical properties for these innovative sensor designs are estimated through micromechanical modeling. Specifically, micromechanics enables us to consider different fiber orientations and constituent properties and provides the composite properties for input to finite element analysis of wave propagation. Finite element simulations of ultrasonic guided wave generation and propagation using Abaqus Explicit-Standard Co-Simulation are conducted in order to design the sensory system.
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Krüger, Uwe, Jens Hüren, Stefan Hoffmann, Werner Krebs, Patrick Flohr, and Dieter Bohn. "Prediction and Measurement of Thermoacoustic Improvements in Gas Turbines With Annular Combustion Systems." In ASME Turbo Expo 2000: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/2000-gt-0095.
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Environmental compatibility requires low emission burners for gas turbine power plants. In the past, significant progress has been made developing low NOx and CO burners by introducing lean premixed techniques in combination with annular combustion chambers. Unfortunately, these burners often have a more pronounced tendency to produce combustion-driven oscillations than conventional burner designs. The oscillations may be excited to such an extent that the risk of engine failure occurs. For this reason, the prediction of these thermoacoustic instabilities in the design phase of an engine becomes more and more important. A method based on linear acoustic four-pole elements has been developed to predict instabilities of the ring combustor of the 3A-series gas turbines (Krüger et al. (1999b)). The complex network includes the whole combustion system starting from both compressor outlet and fuel supply system and ending at the turbine inlet. The flame frequency response was determined by a transient numerical simulation (step-function approach). Based on this method, possible improvements for the gas turbine are evaluated in this paper. First, the burner impedance is predicted theoretically and compared with results from measurements on a test rig for validation of the prediction approach. Next, the burner impedance in a gas turbine combustion system is analyzed and improved thermoacoustically. Stability analyses for the gas turbine combustion system show the positive impact of this improvement. Second, the interaction of the acoustic parts of the gas turbine system has been detuned systematically in circumferential direction of the annular combustion chamber in order to find a more stable configuration. Stability analyses show the positive effect of this measure as well. The results predicted are compared with measurements from engine operation. The comparisons of prediction and measurements show the applicability of the prediction method in order to evaluate the thermoacoustic stability of the combustor as well as to define possible countermeasures.