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نتیجه جستجو - سبز

تعداد مقالات یافته شده: 193
ردیف عنوان نوع
61 Research on the application of block chain big data platform in the construction of new smart city for low carbon emission and green environment
تحقیق در مورد کاربرد بستر داده های بزرگ بلاک چین در ساخت شهر هوشمند جدید برای انتشار کربن کم و محیط سبز-2020
The sharing of government information resources is significant for improving the level of governance and social information. However, due to the existence of cross-domain security and trust islands, government departments are hindering the sharing of government information resources with other organizations and the public. To this end, the blockchain technology is used to construct a decentralized distributed peer-to-peer trust service system, which is integrated with the existing PKI/CA security system to establish a new trust model that supports multi-CA coexistence. Based on this, the structural composition and functional data flow of the blockchain smart city information resource sharing and exchange model designed in this paper. This paper launched a study on the role of the smart big data platform, and selected the development of smart cities in Hefei as an empirical analysis. From the connotation of smart city, block chain and big data technology combined, and the positive effects of relevant information technology summarized on the construction of smart city big data platform. Based on this, the smart city development level evaluation model of TOPSIS method constructed. The evaluation model constructed to make a vertical comparison from 2012 to 2017, the scale of smart cities is growing at an average annual rate of more than 30%, saving 20% of urban resource allocation and becoming a new pillar industry. Therefore, Hefei City should further increase environmental supervision and promote the use of low-carbon environmental protection new energy. The improvement of government management level has a positive effect on the construction of smart Hefei
Keywords: Block chain | PKI/CA | New smart city | Government information
مقاله انگلیسی
62 A breakthrough in urban rain-harvesting schemes through planning for urban greening: Case studies from Stockholm and Barcelona
دستیابی به موفقیت در طرح های بارش باران شهری از طریق برنامه ریزی برای فضای سبز شهری: مطالعات موردی از استکهلم و بارسلونا-2020
A plethora of socioenvironmental issues, and growing concerns over the effects of climate change, are forcing cities to rethink conventional urban water management practices. However, change towards more sustainable practices has been remarkably slow. This paper examines two cases of greening projects aimed at urban rehabilitation in Stockholm and Barcelona, which have turned into examples of innovative approaches to urban rain management. Both cities share high densities and flooding problems in certain neighborhoods. Specifically, the paper attempts to answer three questions: 1) what were the driving forces and key factors that facilitated the breakthrough of urban rainwater-harvesting (URH) schemes based on the two cases?; 2) who were the actors involved and what were their roles in moving towards URH schemes?; and 3) how can URH schemes become part of multifunctional, sustainable urban systems? To answer these questions, the paper uses concepts of adaptive context and capacity, and of actor agency, drawn from the transitions literature, and opportunistic and guided flexibility planning drawn from the planning literature. Empirical material for both case studies was obtained from policy documents and semi-structured interviews with key actors. The main results show first political support for flexibility in public planning, the adaptive context and the capacity of the actors, especially in taking advantage of windows of opportunity for the materialisation of new ideas. Second, the design and implementation of these systems widened the number and scope of actors in urban water management, incorporating new professionals such as architects and involving more city agencies and organizations. Third, small scale URH systems contributed not only to control urban drainage but performed other functions such as the much-needed greening of dense areas in both cities.
Keywords: Barcelona | Opportunistic planning | Stockholm | Transition theory | Urban rainwater-harvesting systems | Urban rehabilitation
مقاله انگلیسی
63 Sustainability led innovations in the hospitality industry: A case study of the adoption of the Green Key Scheme standards in the Netherlands
پایداری منجر به نوآوری در صنعت مهمان نوازی شد: مطالعه موردی تصویب استانداردهای طرح کلید سبز در هلند-2020
The adoption of sustainability standards within organizations represents one of the most significant challenges that firms face. This qualitative based study draws on the core-periphery thesis of organi- zational change and the resource-based view of the firm to explore the three adoption architectures firms can use to integrate green certification scheme standards into their business operations. As a result, we examined the nature of the linkages between the different adoption mechanisms, and how such linkages might influence a firm’s sustainability performance. The study demonstrates that organizational attributes, previous experience with a sustainability agenda and the degree of fit between the externally generated sustainability standard and the prevailing business practices can affect the abilities of firms to integrate sustainability standards into their organization structures and thus their sustainability per- formance. Hence, this paper opens new avenues for sustainability certification researchers to look at the various configurations of standards adoption architectures, and also for practitioners to broadly embrace both institutional and organizational exigencies relevant to the internalization of certification standards.© 2020 Elsevier Ltd. All rights reserved.
Keywords: Green certification | Hospitality | Organizational change | Sustainability | The Netherlands | Tourism
مقاله انگلیسی
64 Hybrid infrastructures, hybrid governance: New evidence from Nairobi (Kenya) on green-blue-grey infrastructure in informal settlements
زیرساخت های ترکیبی ، حاکمیت ترکیبی: شواهد جدید نایروبی (کنیا) در مورد زیرساخت های سبز-آبی خاکستری در شهرک های غیر رسمی-2020
In expanding informal neighborhoods of cities in sub-Saharan Africa, sustainable management of storm and wastewater drainage is fundamental to improving living conditions. Planners debate the optimal combination between "green" or natural infrastructure, traditional "grey" infrastructure, and "blue" infrastructure, which mimics natural solutions using artificial materials. Many advocate for small-scale, niche experiments with these approaches in informal settings, in order to learn how to navigate the intrinsic constraints of space, contested land tenure, participation, and local maintenance. This paper reports the benefits and limitations of implementing and managing local green, blue and grey infrastructure solutions in an urban informal setting. We studied ten completed public space projects that featured urban drainage infrastructure in the informal neighborhood of Kibera, Nairobi. The analysis drew from ten surveys with project designers and seven semi-structured interviews with site managers. The studied spaces featured different combinations of green, grey, and blue drainage infrastructure that have evolved over years of operation, maintenance, and change in the settlement. All projects featured participation in design, mixed design methods, hybrid infrastructure, and community governance models with potential to interact successfully with municipal actors. Results show that involvement in the co-development of small-scale green infrastructure changed peoples valuation, perception, and stewardship of nature-based systems and ecosystem services. These results have implications for the larger scale adoption, integration, and management of urban drainage infrastructure. They also suggest that hybrid systems of infrastructure and governance constitute a resilient approach to incremental and inclusive upgrading.
Keywords: Green infrastructure | Urban drainage | Hybrid infrastructure | Governance | Participation | Climate vulnerability | Informal settlements | Community leadership
مقاله انگلیسی
65 Green climate change adaptation and the politics of designing ecological infrastructures
انطباق تغییرات آب و هوای سبز و سیاست طراحی زیرساختهای زیست محیطی-2020
There is a distinctive ecological turn within contemporary urban infrastructure design linked to the embrace of green approaches to climate adaptation and new ‘ecological’ and ‘landscape infrastructures’ which combine green and grey features. These promise a wide range of ecological, social and cultural benefits and have been accompanied by distinctive new design visions and imaginaries. However, there are also competing interests and agendas which threaten to undermine the realisation of socially equitable and ecologically sustainable design in this context. In response, this article explores the politics of designing ecological infrastructures through a case study of the redevelopment of Hans Tavsens Park, a green climate adaptation, stormwater management and regeneration project in Copenhagen, Denmark. The case study exemplifies the ecological turn in design through its aspiration to deliver ecological, social and cultural benefits in conjunction with improvements to stormwater management. However, the article also identifies connections between innovative design and entrepreneurial strategies related to place-branding. It highlights conflicts between this entrepreneurial green design agenda and both social and ecological priorities. The article’s distinctive contributions are its analysis of the politics of green, climate-resilient design and its description of the relationship between seemingly innovative design, including visible greening and ideals of ‘co-creation’, and the exclusion of disadvantaged groups from green, resilient spaces.
Keywords: Green climate adaptation | Politics of climate adaptation | Urban infrastructures | Urban | Design | Critical design | Urban political ecology | Regeneration
مقاله انگلیسی
66 Green wireless power transfer system for a drone fleet managed by reinforcement learning in smart industry
سیستم انتقال برق بی سیم سبز برای ناوگان هواپیماهای بدون سرنشین که با یادگیری تقویتی در صنعت هوشمند مدیریت می شود-2020
The optimal management of a fleet of drones is proposed in this paper for providing connectivity to sensors and actuators in Industrial Internet of Things (IIoT) scenarios. The persistent mission without any human intervention on the battery charge is obtained by means of an on-field wind generator supplying a charge station that adopts resonant wireless power transfer. The objective of the fleet management is to provide the best connectivity over the time considering the variability of both the bandwidth request and the wind energy availability. The optimal management is performed by a system controller adopting reinforcement learning (RL) for deciding the number of drones to take off and, consequently, the instantaneous provided bandwidth. A constant charge time of drone battery represents a key element of the system because this enables to strongly reduce the complexity of the system controller task. To this purpose, an adaptive current control for the charge station is introduced to compensate charge time variabilities due to the coupling factor changes caused by misalignments that can occur between a pad and a drone. The results have highlighted that the RL provides good performance improvement in case of green generation. An important aspect arose from this study is the ability of RL to increase the saved energy even if it is not considered as a target of the controller.
Keywords: Artificial intelligence | Drone | Industry 4.0 | Internet of Things | Wind generator | Wireless power transfer
مقاله انگلیسی
67 Chemometric methods for classification of clonal varieties of green coffee using Raman spectroscopy and direct sample analysis
روشهای هندسی برای طبقه بندی انواع کلونال قهوه سبز با استفاده از طیف سنجی رامان و آنالیز نمونه مستقیم-2019
This work presents the development of methods for classification of clonal varieties of coffee using chemometrics coupled to Raman spectroscopy and direct sample analysis. Spectra were collected directly from each bean in triplicate, and the homogeneity of the sample’s surface was studied. The spectral range between 1200 and 1800 cm−1 is related to organic groups that are relevant for the discrimination of coffee. The main peaks were observed at about 1600 cm−1, 1630 cm−1, 1120 cm−1, and 1200 cm−1. All collected spectra were baselinealigned, then the preprocessing mean centering (MC) or multiplicative scatter correction (MSC) were used. The original data matrix X was replaced by the PCA-scores matrix T before applying the classification methods. Linear discriminant analysis (LDA), mixture discriminant analysis (MDA), quadratic discriminant analysis (QDA), regularized discriminant analysis (RDA), partial least squares-discriminant analysis with Bayesian inference (PLS–DA), and soft independent modeling of class analogies (SIMCA) methods were applied and compared.Multiplicative scatter correction provided more accurate results when compared to MC, which may be attributed to the direct analysis of solid samples that requires correction for radiation scattering. Using MSC, the LDA correctly classified 98.7% of the samples, while MDA, RDA, QDA, PLS–DA, and SIMCA corrected classified 100% of the samples. On the other hand, using MC, correct classification of the samples was 62.7% for LDA, 70.7% for MDA, 62.7% for RDA, 62.7% for QDA, 61.3% for PLS–DA, and 97.3% for SIMCA.
Keywords: Coffee classification | Raman spectroscopy | Pattern recognition
مقاله انگلیسی
68 BIM-oriented data mining for thermal performance of prefabricated buildings
داده کاوی BIM گرا برای عملکرد حرارتی ساختمانهای پیش ساخته-2019
The use of energy efficiency procedures is a typical practice in building construction process that creates a huge amount of data regarding the building. This is particularly valid in structures which include complex collaborations, for example, ventilation, sunlight-based increases, inner additions, and warm mass. This paper proposes a new approach for automating building construction when improving their energy efficiency, aiming to foresee comfort levels based on Heating, Ventilating, Air Conditioning (HVAC), constructive systems performance, environmental conditions, and occupant behavior. More specifically, it presents a research work about thermal performance of prefabricated construction systems developed by an Argentine enterprise called Astori, using two Knowledge Discovery in Databases (KDD) processes to extract knowledge. In this context, Building Information Modeling (BIM) will give data to support the calculation to outline goal levels of a sustainable building performance concerning classification systems. The data were collected from a project in Uruguay referring to the construction systems and the energy efficiency of the building. The data mining tool SPMF was used to test the performance of classification and its use in prediction. Particularly, FP-Growth Algorithm and Clustering methodologies were used to analyze a combination of ambient conditions, in order to compare them using Revit© software. The results generated by these methods can be generalized for a set of buildings, according to the objective to be achieved concerning the thermal building performance
Keywords: Data mining | Association rules | Clustering | Building information | Green buildings
مقاله انگلیسی
69 Fractal geometry analysis of chemical structure of natural starch modification as a green biopolymeric product
تجزیه و تحلیل هندسه فراکتالی ساختار شیمیایی اصلاح نشاسته طبیعی به عنوان یک محصول بیوپلیمر سبز-2019
Public concerns and official pressures around environmental protection as well as exhausting petroleum resources have brought about preferences in studying and applying environmentalfriendly polymers instead of synthetic petroleum-based polymers. For this aim, biopolymers can have outstanding advantages in biodegradability by saving time, energy and effort spent on increasingly costs of polymeric wastes. Natural starch (being studied in this work), as one of the most abundant natural resources for polymer materials, is inexpensive and biodegradable. As starch necessarily needs for modifications and processing before being used as ideal green polymer material, it is vital to perform feature extraction and defect detection measures in structure by some method like image analysis. Fractal as a new geometry has circumstantially progressed recently in the fields of image processing, physical space–time, medical image analysis, electrochemical patterns, digital images, sounds etc. Box Count Fractal Dimension as a very important and popular part of fractal geometry can be a useful factor in feature extraction and pattern recognition. This paper presents a new method for defect detection in the structure of natural starch modification images using the fractal dimension (FD) along with mean and standard deviation of image color. This is performed via feature extraction based on artificial intelligence by MatLab R2013a for box counting algorithms. Otsu’s graythresh method by MatLab R2013a is applied to binarize the images. The results of proposed methodology are illustrated as log–log curves where the fractal dimensions are recognized by curve fitting (CF) tool with more than 95% accuracy. The outputs express that starch samples’ FD vary in the range from 1.636 to 1.926 among which the last is identified as non-defective polymer. Non-defective feature is of great importance for quality control measures and chemical reactivity being here highlighted as biodegradability
KEYWORDS : Image analysis | Natural starch | Fractal dimension FD | Box counting | Pattern recognition | Computer program
مقاله انگلیسی
70 CM values of Green functions associated to special cycles on Shimura varieties with applications to Siegel 3-fold X2(2)
ارزش CM توابع سبز مربوط به چرخه های ویژه بر روی انواع Shimura با برنامه های کاربردی به سیگل X2 3 برابر (2)-2019
We generalize the definition of CM cycles beyond the ‘small’ and ‘big’ CM ones studied by various authors, such as in [BY09]and [BKY12]and give a uniform formula for the CM values of Green functions associated to these special cycles in general using the idea of regularized theta lifts. Finally, as an application to Siegel 3-fold X2(2), we can compute special values of theta functions and Rosenhain λ-invariants at a CM cycle, which is useful for genus two curve cryptography as in [CDSLY14].
Keywords: Shimura varieties | Complex multiplication | Siegel-Weil formula
مقاله انگلیسی
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