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ردیف | عنوان | نوع |
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91 |
A green and reliable communication modeling for industrial internet of things
یک مدل ارتباطی سبز و قابل اعتماد برای اینترنت اشیاء صنعتی -2017 Green and reliable communication has great significance for Industrial Internet of Things.
Unfortunately, because of the loss nature, achieving reliable transmission is challenging.
In this paper, a novel hybrid transmission protocol (HTP) is proposed to maximize life
time while the reliability is still guaranteed. The proposed protocol adopts Send-Wait au
tomatic Repeat-Request protocol in hotspot areas to reduce the energy consumption and
network coding based redundant transmission approach with adaptive redundancy level
in non-hotspot areas to guarantee the reliability. The proposed protocol could improve the
lifetime and shorten the delay on the premise of ensuring the reliability. Comparing with
Send-Wait automatic Repeat-Request protocol, it can improve lifetime by 15%–30% under
the same reliability and improve the reliability by 12%–45% under the same lifetime. Com
paring with network coding based redundant transmission approach, the lifetime has in
creased by more than one time under the same reliability.
Keywords: Industrial internet of things | Hybrid transmission protocol | Delay | Reliability | Lifetime |
مقاله انگلیسی |
92 |
Intelligent Traffic Lights: Green Time Period Negotiaton
چراغ راهنمای هوشمند : مذاکرات دوره زمانی سبز-2017 This paper presents a person-based traffic signal control strategy for isolated intersection, including
simultaneously signal plan design and signal timing optimization with real-time information on the network
dynamics. In order to update the traffic signal control plan, a model of efficient allocation of an available resource
(green time period) to consumers (traffic lights) was devised as a protocol to decide who gets the right of using the
resources based on an auction-like schema. Traffic streams participate in such an auction to get the right of
consuming a certain amount of the available resource and the intersection-control system mediates between traffic
streams with opposing goals (conflicting movements). Whereas the decision is to terminate the actual green time,
the green time can be assigned to any phase of the traffic signal plan. The selected phase is the one that gives the
most benefic contribution for the intersection performance. Decision is formulated to minimize the total person
delay at the intersection and consequently assign priority to vehicles with more passenger occupancy, also taking
into account the pedestrians. In a social management perspective it should be more important and valuable to
minimize “people’s” delays or other person-based measure instead of vehicle-centric values. A real four-arm
intersection with a time varying origin-destination demand example is tested to demonstrate the proposed method.
The paper contributes to the development of a new traffic signal control strategy which breaks with the traditional
concepts of traffic control such as the cycle length, the maximum green period and fixed phase sequence. Results
reveal that the proposed signal control system reduces total person delay at the intersection and effectively provides
priority to vehicles with more occupancy. The system structure is flexible and able to adapt traffic control decisions
to predictions and react to unexpected traffic events.
Keywords: Adaptative traffic signal control | green light period | negotiation | auction | multi-agent system |
مقاله انگلیسی |
93 |
Modelling green and lean supply chains: An eco-efficiency perspective
مدل سازی زنجیره تامین سبز و ناب: چشم انداز سازگار با محیط زیست بهره وری-2017 This manuscript proposes a model to support decision making and to help managers identify the best
set of green and lean supply chain management practices to improve their eco-efficiency. To attain this
objective, a mathematical model based on eco-efficiency concepts is suggested to overcome the trade-offs
between lean and green practices. To illustrate the model application, a case study from an automotive
supply chain is presented. Some management practices that are instituted for green or lean benefits
have opposite effects on the environmental and economic performance of companies. One of the main
findings of our study is that not all companies belonging to the same supply chain can be absolutely lean
or green. There should be compromises in the individual companies’ behaviour so the environmental and
economic constraints of the supply chain are both satisfied. The proposed model represents a strategic
framework to support the design of eco-efficient supply chains.
Keywords: Eco-efficiency | Lean | Green |Supply chain |Linear programming model |
مقاله انگلیسی |
94 |
A novel approach for enhancing green supply chain management using converged interval-valued triangular fuzzy numbers-grey relation analysis
یک رویکرد جدید برای افزایش مدیریت زنجیره تامین سبز با استفاده از تجزیه و تحلیل رابطه فازی مثلثی مثلثی سه بعدی همگرا شده-2017 The existing literatures are lacking on the cost and benefit concerns, screening the measures and conver
gence of interval-valued triangular fuzzy numbers-grey relation analysis (IVTFN-GRA) weight together.
Nonetheless, Green supply chain management is always suffering the linguistic preferences and system
incomplete information in evaluation process to enhance the performance. Yet, those previous stud
ies are merely based on un-converged weight results. Hence, this study proposed a hybrid method to
dealing with this multi-criteria evaluation problem. Fuzzy Delphi method proposes to screen the evalu
ation criteria and converged IVTFN-GRA weight method handles the vagueness system uncertainty and
incomplete information with interdependence relations. Hence, the proposed hybrid method enhanced
the green supply chain management and compared multi-methods to enhance their performance in
Taiwanese electronic focal firm. The result showed that the converged weight is consistent with the
real practices, despite the differences with the current average weighting method. The finding in the
long-term perspective: resilience and operational improvement are the top weighted aspects.
Keywords: Converged interval-valued triangular fuzzy | numbers-grey relation analysis |Green supply chain management |
مقاله انگلیسی |
95 |
Carbon emissions and energy effects on a two-level manufacturer-retailer closed-loop supply chain model with remanufacturing subject to different coordination mechanisms
مدل زنجیره تامین انتشار کربن و اثرات انرژی در دو سطح تولید کننده خرده حلقه بسته با موضوع بازسازی به هماهنگی های مختلف-2017 This paper presents two models (classical and VMI-CS coordination) for a two-level closed-loop supply
chain with a manufacturer and a retailer with a facility to remanufacture used items. The paper considers
three critical environmental issues, which are the energy used in production (manufacturing and re
manufacturing) processes, GHG emissions from production and transportation activities (subject to a
penalty tax), and the number of times to remanufacture (recover) a used item. Numerical results show
that the traditional optimization approach, which minimises the sum of inventory related costs, sug
gested less remanufacturing, fewer recovery times and more GHG emissions and energy usage; a result
of operating at high production rates. The VMI-CS model was shown to be more economical than the
classical model for a wide range of manufacturing rates, but not necessarily a more environmentally
responsible choice. An extensive numerical analysis was conducted to enrich the discussion and to draw
some managerial insights on how to make environmentally conscious decisions.
Keywords: Closed-loop supply chains | Green supply chains | Greenhouse gas emissions | Carbon emissions | Remanufacturing | Energy |
مقاله انگلیسی |
96 |
Supply chain coordination with green technology under cap-and-trade regulation
هماهنگی زنجیره تامین با تکنولوژی سبز تحت مقررات معامله و تجارت-2017 Cap-and-trade regulation is generally accepted as one of the most effective market-based mechanisms to
curb carbon emissions. In this paper, we study the production and emission abatement decisions of a
Make-To-Order supply chain consisting of a manufacturer and a retailer under cap-and trade regulation.
Specifically, the manufacturer can reduce unit product carbon emission by using green technology, with
the cooperation of a retailer by certain contracts, who sell the products to environment-concerned
consumers. Wholesale price and cost sharing contracts are considered in the supply chain. We list some
main conclusions here. First, as carbon trading price increases, the optimal production quantities (the
optimal abatement levels) firstly decrease (increase) and then remain constant. Second, both wholesale
price and cost sharing contracts can coordinate the supply chain. Last, combining the optimal operational
decisions under the two contracts with two-part tariff agreement, we design a contract in which the
retailer pays a lump fee to the manufacturer, and find that there is an interval of the lump fee to achieve
Pareto improvement for the two firms.
Keywords: Cap-and-trade | Production | Green technology | Supply chain coordination | Wholesale price contract | Cost sharing contract |
مقاله انگلیسی |
97 |
Green supply chain design: A mathematical modeling approach based on a multi-objective optimization model
طرح زنجیره تامین سبز: رویکرد مدل سازی ریاضی بر اساس یک مدل بهینه سازی چند هدفه-2017 Increasing levels of industrialization of developed nations associated with globalization trends have been
creating new challenges to supply chain management (SCM). For decades, the main focus of SCM has
been on efficient ways of managing the flows through complex networks of supplier, producers and
customers. More recently, and as a result of the exponential increase of energy and materials con
sumption rates of energy and materials, sustainable development arise as an urgent issue and new ap
proaches to SCM are required to incorporate environmental and economic concerns in the design of
supply chains. In this paper, a new green supply chain (GSC) design approach has been proposed to deal
with the trade-offs between environmental and financial issues in order to reduce negative impacts on
the environment caused by the increasing levels of industrialization. The new approach incorporates a
closed loop network to accommodate the reprocessing paradigm of disposal products and a multi-ob
jective optimization mathematical model to minimize overall costs and carbon dioxide emissions when
setting the supply chain. Optimization process is performed using three scalarization approaches, namely
weighted sum method, weighted Tchebycheff and augmented weighted Tchebycheff. Computational
results are analyzed to identify the advantages and drawbacks of each approach. The model was tested in
a case study and results allowed to identify the capability of the model to deal with the trade-offs be
tween the costs and environmental issues as well as to identify its main limitation when addressing real
size problems.
Keywords: Green supply chain | Closed loop network | Multi-objective optimization | Weighted sum method | Tchebycheff approach |
مقاله انگلیسی |
98 |
Energy-efficient mapping of large-scale workflows under deadline constraints in big data computing systems
نگاشت انرژی کارای جریان کار در مقیاس وسیع تحت محدودیت های مهمی در سیستم های محاسباتی داده های بزرگ-2017 Large-scale workflows for big data analytics have become a main consumer of energy in data centers
where moldable parallel computing models such as MapReduce are widely applied to meet high com
putational demands with time-varying computing resources. The granularity of task partitioning in each
moldable job of such big data workflows has a significant impact on energy efficiency, which remains
largely unexplored. In this paper, we analyze the properties of moldable jobs and formulate a workflow
mapping problem to minimize the dynamic energy consumption of a given workflow request under
a deadline constraint in big data systems. Since this problem is strongly NP-hard, we design a fully
polynomial-time approximation scheme (FPTAS) for a special case with a pipeline-structured workflow
on a homogeneous cluster and a heuristic for the generalized problem with an arbitrary workflow on
a heterogeneous cluster. The performance superiority of the proposed solution in terms of dynamic
energy saving and deadline missing rate is illustrated by extensive simulation results in comparison with
existing algorithms, and further validated by real-life workflow implementation and experimental results
in Hadoop/YARN systems.
Keywords: Big data | Workflow mapping | Green computing |
مقاله انگلیسی |
99 |
هیبرید نانو خوشه های گادولینیم اکسید – طلا پروتئین تثبیت برای تصویربرداری چندجمله ای و دارورسانی
سال انتشار: 2017 - تعداد صفحات فایل pdf انگلیسی: 36 - تعداد صفحات فایل doc فارسی: 35 یک چند منظوره ترانوستیک نانو پلت فرم پروتئین تثبیت مانند هیبرید نانو خوشه های گادولینیم اکسید – طلا (Gd2O3-AuNCs)، تصویربرداری چند جمله ای و دارو رسانی ساخته شده است. نانو هیبرید Gd2O3-AuNCsاز طریق گنجاندن و یکپارچه سازی نانو کریستال های Gd2O3 و نانوخوشه های طلا در داربست آلبومین سرم گاوی به عنوان یک ماده تثبیت کننده، توسعه یافته است. نانوهیبریدزیست سازگاری مطلوب را نشان می دهد و قادر به افزایش کنتراست در رزونانس مغناطیسی (MR) و تصویرببرداری توموگرافی (CT) ﺍﺷﻌﻪ ﺍﻳﻜﺲ ﻛﺎﻣﭙﻴﻮﺗﺮﻱ است. در این میان، جزء AuNCs یکپارچه شده نه تنها نانوهیبرید را برای تولید فلورسانس قرمز به همراه دارد، بلکه تولید اکسیژن تکی(1O2) را در برانگیختگی نزدیک به مادون قرمز لیزری در 808 نانومترنیز حساس می کند.آلبومین سرم گاوی اطراف نانوذرات، Gd2O3-AuNC را یک حامل عالی برای تحویل ایندوسیانین سبز (ICG)می سازد. بارگذاری ICG نانوکامپوزیت Gd2O3-AuNCs-ICG را با قابلیت تصویربرداری فلورسانس نزدیک مادون قرمز به ارمغان می آورد و و قابلیت فوتوترمال و خاصیت فتودینامیکی آن را بهبود می بخشد.سرانجام، آزمایش های بیشتر نشان دادند که نانوکامپوزیت Gd2O3-AuNCs-ICG یک عامل ترانوستیک امیدوارکننده برای تصویر هدایت درمان سرطان محسوب می شود.
واژگان کلیدی: گادولینیم اکسید | نانو خوشه طلا | فلورسانس نزدیک مادون قرمز | تصویربرداری رزونانس مغناطیسی | ﺗﻮﻣﻮﮔﺮﺍﻓﻲ ﺍﺷﻌﻪ ﺍﻳﻜﺲ ﻛﺎﻣﭙﻴﻮﺗﺮﻱ | درمان فوتوترمال/ فوتودینامیک. |
مقاله ترجمه شده |
100 |
The relationship between green supply chain management and performance: A meta-analysis of empirical evidences in Asian emerging economies
رابطه بین مدیریت زنجیره تامین سبز و عملکرد: یک متاآنالیز شواهد تجربی در اقتصادهای نوظهور آسیایی-2017 The purpose of this study is to understand the relationship between green supply chain management (GSCM)
practices and firm performance in the manufacturing sector in Asian emerging economies (AEE) based on
empirical evidence. Through a systematic literature review, we identified 50 articles that surveyed 11,127
manufacturing companies in the AEE and were published between 1996 and 2015. Subsequently, a conceptual
framework was developed and analyzed through a meta-analysis of 130 effects from 25,680 effect sizes. The
findings revealed that the GSCM practices lead to better performance in four aspects: economic, environmental,
operational, and social performance. Moreover, the results indicate that industry type, firm size, ISO
certification, and export orientation moderate several of the GSCM practice-performance relationships.
Moreover, the findings of this research help managers and policy makers to have more confidence in the
adoption of GSCM practices to improve firm performance. Such results also help researchers to better channel
their efforts in studying the GSCM practices in AEE. In addition, as meta-analysis has not been widely used in
the supply chain management literature, our study is an important step in maturing the academic field by
adopting this technique for confirming GSCM practice-performance relationships in the manufacturing sector of
AEE.
Keywords: Green supply chain management | Asian emerging economies |Manufacturing sector |Performance |
مقاله انگلیسی |