Relational Research between China’s Marine S&T and Economy Based on RPGRA Model

To make up the defect of the existing model, an improved grey relational model based on radian perspective (RPGRA) is put forward. According to the similarity of the relative change trend of time series translating traditional grey relational degree into radian algorithm within different piecewise functions, it greatly improves the accuracy and validity of the research results by making full use of the poor information in time series. Meanwhile, the properties of the RPGRA were discussed. The relationship between China’s marine S&T and marine economy is researched using the new model, so the validity and creditability of RPGRA are illustrated. The empirical results show that marine scientific and technological research projects, marine scientific and technological patents granted, and research funds receipts of the marine scientific research institutions have greater relationship with GOP, which indicates that they have more impact on China’s marine economy

A comparison of TOPSIS, grey relational analysis and COPRAS methods for machine selection problem in the food industry of Turkey

[EN] The paper aims to compare the results of the selection/choice of cream separators by using multi-criteria decision-making methods in an integrated manner for an enterprise with a dairy processing capacity of 80 to 100 tons per day operating in the Turkish food sector. A total of 7 alternative products and 7 criteria for milk processing were determined. Criterion weights were calculated using entropy method and then integrated into TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions), GRA (Grey Relational Analysis) and COPRAS (Complex Proportional Assessment) methods. Sensitivity analyses were carried out on the results obtained from the three methods to check for their reliability. At the end of the study, similar alternative and appropriate results were found from the TOPSIS and COPRAS methods. However, different alternative but appropriate or suitable results were obtained from the GRA method. Sensitivity analysis of the three methods showed that all the methods used were valid. In the review of available and related literature, very few studies on machine selection in the dairy and food sector in general were found. For this reason, it is thought that the study will contribute to the decision-making process of companies in the dairy sector in their choice of machinery selections. As far as is known, this paper is the first attempt in extant literature to compare in an integrated manner the results of TOPSIS, COPRAS and GRA methods considered in the study.Özcan, S.; Çelik, AK. (2021). A comparison of TOPSIS, grey relational analysis and COPRAS methods for machine selection problem in the food industry of Turkey. International Journal of Production Management and Engineering. 9(2):81-92. https://doi.org/10.4995/ijpme.2021.14734OJS819292Ahmed, M., Qureshi, M.N., Mallick, J., Kahla, N.B. (2019). 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Machine selection in a dairy product company with Entropy and SAW methods integration. Faculty of Economics and Administrative Sciences Journal, 32(1), 341-359. https://doi.org/10.24988/deuiibf.2017321605Özgen, A., Tuzkaya, G., Tuzkaya, U.R., Özgen, D. (2011). A multi-criteria decision making approach for machine tool selection problem in a fuzzy environment. International Journal of Computational Intelligence Systems, 4(4), 431-445. https://doi.org/10.1080/18756891.2011.9727802Ozturk, G., Dogan, M., Toker, O.S. (2014). Physicochemical, functional and sensory properties of mellorine enriched with different vegetable juices and TOPSIS approach to determine optimum juice concentration. Food Bioscience, 7, 45-55. https://doi.org/10.1016/j.fbio.2014.05.001Pang, B., Bai, S. (2013). An integrated fuzzy synthetic evaluation approach for supplier selection based on analytic network process. 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A geo-database for potentially polluting marine sites and associated risk index

The increasing availability of geospatial marine data provides an opportunity for hydrographic offices to contribute to the identification of Potentially Polluting Marine Sites (PPMS). To adequately manage these sites, a PPMS Geospatial Database (GeoDB) application was developed to collect and store relevant information suitable for site inventory and geo-spatial analysis. The benefits of structuring the data to conform to the Universal Hydrographic Data Model (IHO S-100) and to use the Geographic Mark-Up Language (GML) for encoding are presented. A storage solution is proposed using a GML-enabled spatial relational database management system (RDBMS). In addition, an example of a risk index methodology is provided based on the defined data structure. The implementation of this example was performed using scripts containing SQL statements. These procedures were implemented using a cross-platform C++ application based on open-source libraries and called PPMS GeoDB Manager

Evaluation of group decision making based on group preferences under a multi-criteria environment

Arrow’s impossibility theorem stated that no single group decision making (GDM) method is perfect, in other words, different GDM methods can produce different or even conflicting rankings. So, 1) how to evaluate GDM methods and 2) how to reconcile different or even conflicting rankings are two important and difficult problems in GDM process, which have not been fully studied. This paper aims to develop and propose a group decision-making consensus recognition model, named GDMCRM, to address these two problems in the evaluation of GDM methods under a multi-criteria environment in order to identify and achieve optimal group consensus. In this model, the ordinal and cardinal GDM methods are both implemented and studied in the process of evaluating the GDM methods. What’s more, this proposed model can reconcile different or even conflicting rankings generated by the eight GDM methods, based on empirical research on two real-life datasets: financial data of 12 urban commercial banks and annual report data of seven listed oil companies. The results indicate the proposed model not only can largely satisfy the group preferences of multiple stakeholders, but can also identify the best compromise solution from the opinion of all the participants involved in the group decision process. First published online 20 October 202

Science, Information, and Policy Interface for Effective Coastal and Ocean Management

Science, Information, and Policy Interface for Effective Coastal and Ocean Management presents a wealth of knowledge that enhances current best practices to achieve more effective communication and use of marine environmental information. Useful to all major groups in the policy-making process, from senior policy- and decision-makers to practitioners in coastal and ocean management, it helps to increase understanding of catalysts and barriers to communicating research findings. It also serves as a starting point for further research and progress in efficient marine environment management

Making sense of complex socio-ecological issues: a frame-analysis of Arctic natural resource development

Environmental and natural resource issues are often framed in multiple ways by multiple stakeholders. This is especially the case in relation to Arctic natural resource development: a complex issue bearing the hallmarks of modern sustainability challenges. With the increasing attention placed towards the Arctic’s natural resources comes a growing number of diverse voices, producing a discursive environment fertile for frame-conflicts and susceptible to misunderstanding, confusion and conflation. For many, the central challenge in tackling socio-ecological problems deriving from these complex issues centres on conflicting frames: from how problems are initially defined to what are appropriate solutions, these issues are social and political constructs and arenas for deep disagreement. As such, if policy efforts to meet the sustainability challenges associated with Arctic natural resources are to be successful, an understanding of frames proves essential. This thesis contributes towards this important research area by undertaking a frame-analysis of contemporary Arctic natural resource development. This thesis consists of three empirical strands. The first examines media-frames in international news media coverage surrounding natural resources in an Arctic context. Using Greenland as a case-study, it illustrates a media portrayal of a close-knit relationship between a warming climate and natural resource development. The second strand uses Q-Methodology to explore frame-conflicts within a group of Arctic stakeholders around the issue of Arctic offshore petroleum, finding significant divergence across framings, with some bridges of consensus evident that could potentially facilitate collaborative policymaking. The third strand examines the role of scale-frames within the discussion around Arctic offshore petroleum, identifying several scale-challenges often related to the Arctic’s nebulous relationship with scale. Themes emerging across these three strands point to a need for alternative conceptual approaches to space that capture the inter-relational complexity behind Arctic natural resource development. Relational geographies and assemblage-thinking are presented as useful conceptual lens in which to engage with this complexity. This thesis argues that despite its inherent complexity, an understanding of the various ways Arctic natural resources are framed can offer guidance for policymakers such as highlighting the risks of dominant tropes, the existence of potential bridges and the need for more refined terminology when necessary. In doing so, this thesis highlights the utility of mixed-methods frame analysis as a heuristic tool to better understand complex socio-ecological issues

Environmental Sensitivity Index And A Case Study: Bosphorus

Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2007Thesis (M.Sc.) -- İstanbul Technical University, Institute of Science and Technology, 2007Son yıllarda gemilerden kaynaklanan petrol kirliliği deniz ekosistemleri için büyük bir tehdit oluşturmaya başlamıştır. Bu durum ciddi boyutlarda petrol taşımacılığının yapıldığı Türk Boğazları gibi sularda daha da ciddi gözlenmekte olup, canlı türlerinin değişmeye hatta kaybolmaya başladığı; doğal ortamların bozulmakta olduğu bilinmektedir. Kıyı alanlarını tehdit eden gemi kazaları ve bunlardan kaynaklanan petrol kirliliği riskini azaltabilmek için, petrol kirliliğine yönelik bir acil eylem planlamasının yapılması böylelikle muhtemel bir kaza halinde kazaya acilen müdahelenin sağlanarak doğal ortamın ve bölgedeki ekosistemin en az zararı görmesi temin edilmelidir. Dünyada da bu amaçla kullanılmakta olan bazı karar destek sistemleri bulunmaktadır. Bunlardan en çok bilineni coğrafi bilgi sistemi üzerinde oluşturulan ve kıyı ekosistemlerinin petrolden etkilenebilirliğini ekosistem tabanlı olarak ortaya koymayı amaçlayan “Çevresel Hassasiyet İndeksi” (Environmental Sensitivity Index) olup yaklaşık 30 yıldır birçok kıyı ekosistemine uygulanmıştır. Çevresel Hassasiyet İndeksi kıyıların petrol kirliliğinden etkilenebilirliğini ortaya çıkartmak için bir coğrafi bilgi sistemi üzerinde kıyı alanına ait kıyı sınıflandırmasını, ortamda bulunan hassas flora ve faunayı ve kıyı bölgesinde insan kullanımı açısından önem arzeden ve/veya bir petrol kazası sırasında kolayca etkilenebilecek alanları işaretlemek suretiyle oluşturulmaktadır. Bu çalışmada uygulama alanı olarak seçilen İstanbul Boğazı üzerinde Çevresel Hassasiyet İndeksi uygulanmış ve belirlenen hassas kıyı alanları Coğrafi Bilgi Sistemi üzerinde sayısal olarak haritalanmıştır. Sonuçlar değerlendirilerek İstanbul Boğazı’ndaki hassas alanlar tartışılmıştır. Bunun yanısıra Boğaz’daki üç kritik nokta için kaza senaryoları yaratılmış ve müdahele yapılamaması durumunda etkilenebilecek doğal kaynaklar tartışılmıştır.In recent years, oil pollution originating from ships and tankers has become a threat for marine ecosystems. This is observed in waters such as Turkey dramatically. It is also known that the living species is started to disturbed and even eliminated; and natural habitat impaired. In order to diminish accidents that threats the coastal areas and oil spill risk originating from them, an emergency response planning should be done. In this way, a probable accident could be responded accurately and immediately for assuring the natural environment damaged minimally. There are a few similar decision support systems in the world. The most-known one is the Environmental Sensitivity Index that is built on Geographical Information System and aiming to describe the vulnerability of coastal ecosystem from oil. This system has been applied on numerous coastal ecosystems in the last three decades. Environmental Sensitivity Index is composed of shoreline classification which is used to oil spill vulnerability of a shoreline; sensitive flora and fauna; and human – use resources that important for coastal zone residents. In this study Environmental Sensitivity Index is applied on Bosphorus, as the case study of this thesis, and sensitive areas determined through the study is mapped digitally on Geographical Information System. Results are evaluated and discussed. Besides accident scenarios are assumed for three critical points in the Bosphorus and natural resources that could be affected in case oil spill response is late or ineffective.Yüksek LisansM.Sc

Global Monitoring for Security and Stability (GMOSS) - Integrated Scientific and Technological Research Supporting Security Aspects of the European Union

This report is a collection of scientific activities and achievements of members of the GMOSS Network of Excellence during the period March 2004 to November 2007. Exceeding the horizon of classical remote-sensing-focused projects, GMOSS is characterized by the integration of political and social aspects of security with the assessment of remote sensing capabilities and end-users support opportunities. The report layout reflects the work breakdown structure of GMOSS and is divided into four parts. Part I Concepts and Integration addresses the political background of European Security Policy and possibilities for Earth Observation technologies for a contribution. Besides it illustrates integration activities just as the GMOSS Gender Action Plan or a description of the GMOSS testcases. Part II of this book presents various Application activities conducted by the network partners. The contributions vary from pipeline sabotage analysis in Iraq to GIS studies about groundwater vulnerability in Gaza Strip, from Population Monitoring in Zimbabwe to Post-Conflict Urban Reconstruction Assessments and many more. Part III focuses on the research and development of image processing methods and Tools. The themes range from SAR interferometry for the measurement of Surface Displacement to Robust Satellite Techniques for monitoring natural hazards like volcanoes and earthquakes. Further subjects are the 3D detection of buildings in VHR imagery or texture analysis techniques on time series of satellite images with variable illumination and many other more. The report closes with Part IV. In the chapter ¿The Way Forward¿ a review on four years of integrated work is done. Challenges and achievements during this period are depicted. It ends with an outlook about a possible way forward for integrated European security research.JRC.G.2-Support to external securit