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1 |
Developing a coevolutionary account of innovation ecosystems
توسعه یک حساب همزمان از اکوسیستم های نوآوری-2021 Whilst research in innovation ecosystems has focused on the connectivity, interdependence, and coevolution of
actors, technologies, and institutions, there has been a gap in the study of these relationships between actors,
with little explanation given on how mutually interdependent parties adapt. In this paper, we draw further on the
ecological metaphor to present a view of innovation ecosystems as complex adaptive systems, where patterns of
change emerge from microlevel coevolutionary interactions between actors. Drawing on this view, we explore
related implications for our understanding of ecosystem boundaries, coevolutionary rules of interaction, and how
ecosystems are energized through innovation. Specifically, we contribute to the literature by developing a novel
account of innovation ecosystems where actors are bound together through changing modes of coevolution.
Drawing on this account, we explore key theoretical and practical implications for our understanding of
ecosystem actors, rules of interaction, and the wider innovation ecosystem. We conclude that innovation both
maintains and drives change within the innovation ecosystem, by altering the microlevel rules of interaction and
coevolutionary relationships between actors. keywords: تفوق | سیستم انطباق پیچیده | مرزها | اکوسیستم نوآوری | قوانین تعامل | میکروفوندیشن ها | Coevolution | Complex adaptive system | Boundaries | Innovation ecosystem | Rules of interaction | Microfoundations |
مقاله انگلیسی |
2 |
A Machine Vision Based Automated Quality Control System for Product Dimensional Analysis
سیستم کنترل کیفیت خودکار مبتنی بر بینایی ماشین برای تجزیه و تحلیل ابعاد محصول-2021 Quality control (QC) in manufacturing processes is critical to ensuring consumers receive products with proper functionality and reliability. Faulty products can lead to additional costs for the manufacturer and damage trust in a brand. A growing trend in QC is the use of machine vision (MV) systems because of their noncontact inspection, high repeatability, and relatively low cost. This paper presents a robust MV system developed to perform comparative dimensional inspection on diversely shaped samples, including additive manufacturing products. The algorithm used performs dimensional inspection on a base product considered to have acceptable dimensions. The perimeter, area, rectangularity, and circularity of the base product are determined using blob analysis on a calibrated camera. These parameters are then used as the standard with which to judge additional products. Each product following is similarly inspected and compared to the base product parameters. A likeness score is calculated for each product, which provides a single value tracking all parameter differences. Finally, the likeness score is considered on whether it is within a threshold, and the product is considered to be acceptable or defective. The proposed MV system has achieved satisfactory results, as discussed in the results section, that would allow it to serve as a dependable and accurate QC inspection system in industrial settings.© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)Peer-review under responsibility of the scientific committee of the Complex Adaptive Systems Conference, June 2021. Keywords: Machine Vision | Quality Control | Dimensional Analysis | Digital Quality | Rectangularity | Circularity | Production | Manufacturing |
مقاله انگلیسی |
3 |
Enhancing context specifications for dependable adaptive systems: A data mining approach
افزایش مشخصات زمینه برای سیستمهای انطباقی قابل اعتماد: رویکرد داده کاوی-2019 Context: Adaptive systems are expected to cater for various operational contexts by having multiple strategies in achieving their objectives and the logic for matching strategies to an actual context. The prediction of relevant contexts at design time is paramount for dependability. With the current trend on using data mining to support the requirements engineering process, this task of understanding context for adaptive system at design time can benefit from such techniques as well. Objective: The objective is to provide a method to refine the specification of contextual variables and their rela- tion to strategies for dependability. This refinement shall detect dependencies between such variables, priorities in monitoring them, and decide on their relevance in choosing the right strategy in a decision tree. Method: Our requirements-driven approach adopts the contextual goal modelling structure in addition to the operationalization values of sensed information to map contexts to the system’s behaviour. We propose a design time analysis process using a subset of data mining algorithms to extract a list of relevant contexts and their related variables, tasks, and/or goals. Results: We experimentally evaluated our proposal on a Body Sensor Network system (BSN), simulating 12 re- sources that could lead to a variability space of 4096 possible context conditions. Our approach was able to elicit subtle contexts that would significantly affect the service provided to assisted patients and relations between contexts, assisting the decision on their need, and priority in monitoring. Conclusion: The use of some data mining techniques can mitigate the lack of precise definition of contexts and their relation to system strategies for dependability. Our method is practical and supportive to traditional requirements specification methods, which typically require intense human intervention. Keywords: Self-adaptive system | Context uncertainty | Data mining | Design time | Goal modelling | Dependability |
مقاله انگلیسی |
4 |
ظهور اکوسیستم «فینتک»
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 33 - تعداد صفحات فایل doc فارسی: 43 چکیده
اکوسیستمهای فینتک (Fintech - FE) با شبکهای پیچیده از عوامل ناهمگن، غیر خطی، پویا توصیف میشوند که با تعامل با یکدیگر، مجموعه گستردهای از محصولات و خدمات مالی را به مصرفکنندگان نهایی ارائه میدهند. با ظهور بیشماری از فناوریهای مکمل، با ظهور بازیگران جدید و شکلگیری ارتباطات جدید، پیچیدگی اکوسیستمهای فینتک به طور تصاعدی افزایش مییابد. با وجود توجه گستردهای که اکوسیستمهای فینتک از جامعه علمی و فعالیتها جلب کردهاند، در مورد چگونگی ظهور چنین اکوسیستمهایی اطلاعات کمی در دست است. برای پرداختن به این شکاف دانشی که به وجود آمده است، این مقاله تحقیقاتی از نظریه سیستمهای انطباقی پیچیده (complex adaptive systems - CAS) برای بررسی ظهور اکوسیستمی خود-پایدار جهانی استفاده میکند: درۀ فینتک در ویزاگ هند. با انجام این کار، یافتههای ما بینشهایی در مورد ظهور فعالیت بهبود عملکرد (Functional Enhancement - FE) ارائه میدهد که در حال تغییر دادن دورنمای مالی در سطح جهانی است، و ممکن است برای متخصصانی که به دنبال تأثیرگذاری بر تغییرات کلی فرهنگی و دنبال رویکرد «compliant by design» هستند، مفید باشد.
کلمههای کلیدی: ظهور اکوسیستم | فینتک | سیستمهای انطباقی پیچیده | پژوهش موردی | هند
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مقاله ترجمه شده |
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Forest landscapes as social-ecological systems and implications for management
مناظر جنگل به عنوان سیستم های اجتماعی-زیست محیطی و پیامدهای مدیریت-2018 Many of the most pressing threats to forests result from complex interactions between multiple stressors and
require management on large spatial and temporal scales. For this reason, many ecosystem managers have begun
to recognize the need to consider the broader context of decisions, and how outcomes of past, present and future
decisions in one location may interact with outcomes of such decisions in other locations nearby. The landscape
has been put forth as an appropriate unit for such holistic approaches to management. However, as there are
differing definitions of landscapes, it can be difficult to develop frameworks for management. Moreover, many
definitions do not fully account for the many ways social and ecological conditions and processes interact within
landscapes. Building on emerging theoretical and empirical literature, I offer a perspective on temperate forest
landscapes as social-ecological systems: nested sets of coevolving social and natural subsystems connected
through feedbacks, time lags, and cross-scale interactions. This interdisciplinary framing emphasizes the bio
geophysical and socio-cultural influences on landscapes and the need to consider these influences – and the
interactions among them – in management. I discuss challenges to managing forest landscapes as social-ecolo
gical systems that stem from mismatches in the temporal and spatial scales on which ecological and social
systems typically function, as well as opportunities for policies, formal organizations, and governance networks.
Keywords: Social-ecological systems ، Complex adaptive systems ، Forests ، Landscapes ، Scale mismatch ، Governance networks |
مقاله انگلیسی |
6 |
Comparing HROs and RE in the light of safety management systems
مقایسه HROs و RE با توجه به سیستم های مدیریت ایمنی-2018 The High Reliability Organizations (HROs) and Resilience Engineering (RE) movements represent similar
schools of thought, and may seem difficult to differentiate on clear grounds. This paper uses a generic taxonomy
of safety management modes, developed during a field study conducted within the French Air Navigation Service
Provider (ANSP), to facilitate their comparison. The field study was an opportunity to contrast the classical
Safety Management System (SMS) regulatory approach with the HRO and RE frameworks. It also led to the
development of a generic taxonomy of safety management modes, which is used for comparing the HRO and RE
frameworks from a safety management perspective. While HRO and RE share a common theoretical inspiration
(complex adaptive systems), a common philosophy of safety management, and reach similar conclusions in
terms of “positive” safety management features, they can still be differentiated by their position in the grid.
HROs are close to one of the four safety management modes described in the taxonomy, while resilience is a
component of safety management that is present, at different levels, across all the four safety management
modes.
Keywords: Safety strategy ، Safety management modes ، Resilience engineering ، High reliability organizations |
مقاله انگلیسی |
7 |
FIoT: An agent-based framework for self-adaptive and self-organizing applications based on the Internet of Things
FIoT: یک چارچوب مبتنی بر عامل برای برنامه های خود تطبیقی و خود سازماندهی بر اساس اینترنت اشیاء -2017 Billions of resources, such as cars, clothes, household appliances and even food are be
ing connected to the Internet forming the Internet of Things (IoT). Subsets of these re
sources can work together to create new self-regulating IoT applications such as smart
health, smart communities and smart homes. However, several challenging issues need to
be addressed before this vision of applications based on IoT concepts becomes a reality. Be
cause many IoT applications will be distributed over a large number of interacting devices,
centralized control will not be possible and so open problems will need to be solved that
relate to building locally operating self-organizing and self-adaptive systems. As an initial
step in creating IoT applications with these features, this paper presents a Framework for
IoT (FIoT). The approach is based on Multi-Agent Systems (MAS) and Machine Learning
Techniques, such as neural networks and evolutionary algorithms. To illustrate the use of
FIoT, the paper contains two different IoT applications: (i) Quantified Things and (ii) Smart
traffic control. We show how flexible points of our framework are instantiated to generate
these IoT application.
Keywords: Internet of things (IoT) | Multi-agent system | Machine learning | Self-organizing | Self-adaptive | Quantified things |
مقاله انگلیسی |
8 |
Hybrid modeling and empirical analysis of automobile supply chain network
مدل سازی هیبرید و تجزیه و تحلیل تجربی شبکه زنجیره تامین خودرو-2017 Based on the connection mechanism of nodes which automatically select upstream and
downstream agents, a simulation model for dynamic evolutionary process of consumer
driven automobile supply chain is established by integrating ABM and discrete modeling
in the GIS-based map. Firstly, the rationality is proved by analyzing the consistency of
sales and changes in various agent parameters between the simulation model and a real
automobile supply chain. Second, through complex network theory, hierarchical structures
of the model and relationships of networks at different levels are analyzed to calculate
various characteristic parameters such as mean distance, mean clustering coefficients, and
degree distributions. By doing so, it verifies that the model is a typical scale-free network
and small-world network. Finally, the motion law of this model is analyzed from the
perspective of complex self-adaptive systems. The chaotic state of the simulation system
is verified, which suggests that this system has typical nonlinear characteristics. This
model not only macroscopically illustrates the dynamic evolution of complex networks
of automobile supply chain but also microcosmically reflects the business process of
each agent. Moreover, the model construction and simulation of the system by means
of combining CAS theory and complex networks supplies a novel method for supply
chain analysis, as well as theory bases and experience for supply chain analysis of auto
companies.
Keywords: Complex network | Complex self-adaptive system | Automobile | Supply chain | Hybrid modeling |Empirical analysis |
مقاله انگلیسی |
9 |
A Practical Approach to Modeling Complex Adaptive Flows in Psychology and Social Science
یک رویکرد عملی برای مدل سازی جریانهای تطبیقی پیچیده در روانشناسی و علوم اجتماعی-2017 Five moments in the formation and functioning of complex adaptive systems are: (1) emergent regularities and patterns in the flow
of matter, energy, and/or information; (2) condensed schematic representations of these regularities enabling their identification;
(3) reproductively interchangeable variants of these representations serving as templates for new instances of the pattern; (4)
successful reproduction facilitated by the accuracy and reliability of the representations’ predictions of data flow regularities; and
(5) informational feedback that adaptively modifies and reorganizes representations to incorporate new variations in the data flow,
cycling back the first moment. These five moments are instantiated via stochastic models providing practical approaches to
representing and managing complex adaptive psychological and social systems in education, health care, human resource
management, etc. Local independence, unidimensionality, and statistical sufficiency criteria function as means of identifying,
evaluating, and deploying conceptual and social forms of life acting as evolving agents in defined ecological niches. Bringing these
agents into play systematically requires embodying them in technologies instrumental to making them readily recognizable and
sharable across ecosystem niches. Modeling research and practice promoting sustainable and self-organizing ecosystems of this
kind set the stage for redefining profit in terms of authentic wealth and value for life.
Keywords: complex adaptive systems | psychology | stochastic models | Rasch models | self-organizing forms of life |
مقاله انگلیسی |
10 |
A conceptual framework for the analysis of the effect of institutions on biofuel supply chains
چارچوب مفهومی برای تجزیه و تحلیل اثر نهاد ها در زنجیره تامین سوخت زیستی-2017 The economic performance of biofuels supply chains depends on the interaction of technical character
istics as technological pathways and logistics, and social structures as actor behavior, their interactions
and institutions. Traditional approaches focus on the technical problems only. Little attention has been
paid to the institutional analysis of biofuel supply chains. This paper aims to extend the analysis of the
effect of institutions on the emergence of biofuel supply chains by developing a conceptual framework
that combines elements of complex adaptive systems, (neo) institutional economics and socio
technical systems theory. These elements were formalized into an agent-based model. The proposed
method is illustrated by a case study on a biodiesel supply chain in Germany. It was found that the pat
terns in production capacity result from investors basing their decisions on optimistic perceptions of the
market development that increase with a favorable institutional framework. Conversely, patterns in bio
diesel production cannot be completely explained by this mechanism. The proposed framework assisted
the model conceptualization phase and allowed the incorporation of social structures into the agent
based model. This approach could be developed further to provide insights on the effect of different
future deployment strategies on bioenergy systems emergence and development.
Keywords: Complex adaptive systems | (Neo) institutional economics | Socio-technical systems |Agent-based modeling |Biofuel supply chains |
مقاله انگلیسی |