Transformation Engine Research Articles

Three-Dimensional Geographic Information System Assisted Intelligent Review of Power Grid Design

In order to strengthen the management of the three-dimensional design review of power transmission and transformation projects, the Ministry of Infrastructure of the State Grid has successively issued the “Notice of Guiding Opinions on the Management of Preliminary Evaluation of Three-Dimensional Design of Transmission and Transformation Projects” and the “Preliminary Review Outline of Three-dimensional Design of Transmission and Transformation Projects (for Trial Implementation) )announcement of”. At present, most of the existing engineering design review systems are two-dimensional systems, which cannot visually display design results. In order to better display the results of three-dimensional design and improve review efficiency, it is necessary to apply GIS technology to the three-dimensional design of power transmission and transformation projects, and it is very necessary to develop a set of 3D GIS power transmission and transformation engineering design review system. In order to solve the above problems, the purpose of the present invention is to provide a method based on 3D GIS power transmission and transformation engineering design review, using 3D visualization technology to combine GIS with power transmission and transformation engineering design results to achieve visual browsing and query of 3D design models, and 3D design Achievement display,3D design results review and scoring,3D design model collision relationship calculation and other intelligent management applications.

Changing the Turkish Constitution: An Institutionalist and Collective Action Perspective

Understanding change and/or resistance to change is critical in studying institutions. We argue in this paper that the supply of expressible alternatives to the status quo, as well as the provision of incentives for political parties and other socio-political formations to participate in collective action for institutional change, are essential. These can be described as “ideational monopoly” of specific actors or “supreme legitimacy” of established institutions, but the latter can be described as “institutional handicaps” in a problematic way. According to a survey of the literature, institutional transformation follows a largely isomorphic pattern for the most part. In Turkey, it is undeniable that the European Union associated Turkish objectives have been the primary engine of institutional transformation in the country for a long time. Some historical turning moments in Europe-Turkey ties, as well as the associated actions of governments and public opinion towards the Turkish constitution, imply that there is almost a visible correlation between constitutional change and EU-Turkey relations, at least in the short term. As a result of this affinity, we have argued in favor of isomorphic approach as the most successful means of bringing about structural change. 

Thriving on contradiction: Toward a dialectical alternative to fit‐based models in strategy (and beyond)

AbstractResearch SummaryWhile the established, coherence view of internal fit provides a compact representation of firms and strategy, it also discounts the strategic benefits of tensions and contradictions, and downplays strategy creation and change. Here, we develop a novel dialectical alternative to fit‐based models of strategy. Within our model, contradictions and tensions serve as a key engine for strategic renewal and transformation. If carefully harnessed through what we call “disciplined incoherence,” contradictions can help firms establish and change their strategies and business models, adapt to and shape their environment, and enhance and sustain their competitive advantage. We offer a dynamic, endogenous view of how configurations are generated, transformed, and maintained, and present a processual alternative to current strategy models that are grounded in equilibrium and coherence assumptions.Managerial SummaryPrior thinking suggests that firm strategies should focus on achieving fit between the firm's different elements such as activities, organizational structures, and policies, and that tensions and inconsistencies should be eliminated or minimized. We argue that this view overlooks the important role of contradictions in fostering innovation and competitive advantage and driving strategic change and renewal. Conflicts and contradictions pose their own risks. Yet, given the potential for their firms to thrive on contradictions, managers and strategists should neither dismiss these challenges nor be paralyzed by them. Instead of stamping out tensions and contradictions, managers can apply a process of “disciplined incoherence” where they relinquish some control while drawing on organizational arrangements and their own creativity and skills to allow contradictions to develop.

DLUX: A LUT-Based Near-Bank Accelerator for Data Center Deep Learning Training Workloads

The frequent data movement between the processor and the memory has become a severe performance bottleneck for deep neural network (DNN) training workloads in data centers. To solve this off-chip memory access challenge, the 3-D stacking processing-in-memory (3D-PIM) architecture provides a viable solution. However, existing 3D-PIM designs for DNN training suffer from the limited memory bandwidth in the base logic die. To overcome this obstacle, integrating the DNN related logic near each memory bank becomes a promising yet challenging solution, since naively implementing the floating-point (FP) unit and the cache in the memory die incurs a large area overhead. To address these problems, we propose DLUX, a high performance and energy-efficient 3D-PIM accelerator for DNN training using the near-bank architecture. From the hardware perspective, to support the FP multiplier with low area overhead, an in-DRAM lookup table (LUT) mechanism is invented. Then, we propose to use a small scratchpad buffer together with a lightweight transformation engine to exploit the locality and enable flexible data layout without the expensive cache. From the software aspect, we split the mapping/scheduling tasks during DNN training into intralayer and interlayer phases. During the intralayer phase, to maximize data reuse in the LUT buffer and the scratchpad buffer, achieve high concurrency, and reduce data movement among banks, a 3D-PIM customized loop tiling technique is adopted. During the interlayer phase, efficient techniques are invented to ensure the input-output data layout consistency and realize the forward-backward layout transposition. Experiment results show that DLUX can reduce FP32 multiplier area overhead by 60% against the direct implementation. Compared with a Tesla V100 GPU, end-to-end evaluations show that DLUX can provide on average 6.3× speedup and 42× energy efficiency improvement.

Preserving the legacy – Why do professional soccer clubs (not) adopt innovative process technologies? A grounded theory study

Technologies such as Robotic Process Automation or Artificial Intelligence are becoming increasingly recognized as essential elements and engines of digital transformation in businesses today. However, especially in the professional sports industry, the adoption of these technologies appears to be lagging behind. This paper aims to provide a deeper perspective and understanding of the drivers and inhibitors of the adoption and use of innovative process technologies in professional sports. To this end, we conducted a grounded theory study of data collected from two German professional soccer clubs: one from the first league (Bundesliga) and one from the third league (3. Liga). Our study shows that adoption depends upon expected efficiency and effectiveness gains, perceived ease of use, perceived (positive) market pull, and perceived (negative) supporter perception. While the first three constructs are well-known in the technology acceptance literature, the latter two are comparably new in this research stream. Therefore, we discuss especially the impact of perceived positive market pull (i.e., a pull from clubs’ sponsors and competition) and perceived negative supporter perception (i.e., the fear that customers might lose loyalty due to increasing process digitalization) on the adoption and use of innovative process technologies in professional sports.

A Retargetable Model-Driven Framework for the Development of Mobile User Interfaces

Since the emergence of mobile devices, the architecture of mobile applications has been transformed significantly. In mobile applications, the User Interface (UI) is one of the major elements, but its development is complex and time-consuming. Existing practices do not support various presentation issues of the UI at a higher abstraction level, in a retargetable fashion, with complete tool support. Therefore, it is critical to develop a simple and automated framework for the development of mobile UIs by exploiting model-driven engineering concepts. In this paper, a Unified Modeling language (UML) profile for Mobile User Interfaces (UMMUI) has been proposed, which employs some standard UML notations for representing the mobile UI requirements at a higher abstraction level. Subsequently, a complete open-source transformation engine has been developed to automatically transform the high-level source models (in UMMUI) into the target low-level React Native implementation. Finally, the applicability of the proposed framework is validated through two benchmark case studies, i.e., Patient Management System and Library Application. The results verify that the proposed framework allows the modeling of UIs with simplicity and generates the target code automatically with minimum transformation losses.

THEORETICAL AND METHODOLOGICAL FUNDAMENTALS OF ENTREPRENEURSHIP DEVELOPMENT IN THE CONTEXT OF GLOBALIZATION: MANAGEMENT AND MARKETING ASPECTS

Abstract Introduction. The article is devoted to the study of management and marketing aspects of the theoretical and methodological foundations of entrepreneurship in the context of globalization. Based on the study, it was emphasized that in times of crisis and adverse environment, to the greatest adaptation and survival in unstable conditions are able to enterprises with progressive innovative ideas. The aim of the study was to study of management and marketing aspects of the theoretical and methodological foundations of entrepreneurship in the context of globalization. Results. The necessity to study the paradigm of coevolutionary connections between innovation and entrepreneurship from the standpoint of transformation of economic theory is proved. The impulses of the emergence of the phenomenon of entrepreneurship in the world and in modern Ukraine, which served as an impetus for the development of entrepreneurship and led to changes in the traditional social paradigm of entrepreneurship in the scientific world. It is shown that evolutionary changes demonstrate the close dependence of effective business development on innovations, which are producers of positive changes in the business environment, the engine of transformation of routine or traditional entrepreneurship into innovative and cause increased competitiveness of enterprises. Emphasis is placed on the fact that in times of crisis and adverse external environment, enterprises with progressive innovative ideas are capable of the greatest adaptation and survival under unstable conditions. The fundamental differences between the traditional form of business and innovation are analyzed, on this basis the main imperatives of strategic management of innovation as a managed process are determined. Conclusions. The definition of innovative entrepreneurship is proposed, which means a creative, creative and always risky type of business in an unstable environment, which manifests itself as a complex logical process of expanded economic reproduction, which is carried out by a legal entity or individual and aimed at implementing innovative projects, innovative methods of organization. labor, production of a fundamentally new product, service, technology, and the result of such activities is to make a profit due to commercialization and the achievement of public utility. Keywords: management, marketing, system, development, entrepreneurship, globalization.

SMUL-FFT: A Streaming Multiplierless Fast Fourier Transform

Beamspace processing is an emerging paradigm to reduce hardware complexity in all-digital millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) basestations. This approach exploits sparsity of mmWave channels but requires spatial discrete Fourier transforms (DFTs) across the antenna array, which must be performed at the baseband sampling rate. To mitigate the resulting DFT hardware implementation bottleneck, we propose a fully-unrolled Streaming MUltiplierLess (SMUL) fast Fourier Transform (FFT) engine that performs one transform per clock cycle. The proposed SMUL-FFT architecture avoids hardware multipliers by restricting the twiddle factors to a sum-of-powers-of-two, resulting in substantial power and area savings. Compared to state-of-the-art FFTs, our SMUL-FFT ASIC designs in 65nm CMOS demonstrate more than 45% and 17% improvements in energy-efficiency and area-efficiency, respectively, without noticeably increasing the error-rate in mmWave massive MIMO systems.

Discussion on Legal Model of Intellectual Property of Computer Software

With the development of computer software and information technology, software industry has become one of the important engines of modern economic construction and structural transformation in China. However, because the computer software is very complex and the industry value is high, it is easy to lead to the flood of intellectual property infringement, which is undoubtedly a great blow to the researchers in the field of computer technology and related industries. Therefore, through analyzing the current situation of intellectual property protection of computer software, this paper fully discusses the comprehensive construction mode of copyright law, patent law and trade secret protection law, in order to ensure the innovation and application environment of this intellectual property right.

Mathematical model for the definition and integration of buffer zones for terrestrial tropical protected areas

Protected areas are defined, declared, and managed territories that constitute part of an in-situ conservation strategy of biodiversity and ecosystem services. In Colombia, 142,682 km2 of the territory have been declared as 59 PAs, representing the National Natural Park System of Colombia. This involves the most restrictive categories in terms of use, occupation, and possession of land. However, due to the strong pressure generated by the current socio-economic dynamics and transformation engines, the delineation and integration of buffer zones are urgently required to mitigate the disturbances caused by human activity in the territories surrounding PAs.The objective of this research was to propose a mathematical model based on multi-criteria analysis to determine Buffer Zones for tropical terrestrial Protected Areas using 17 Protected Areas from the National Natural Park System of Colombia as a pilot group. Based on 7 criteria and 31 indicators, a four-level hierarchical model was established consisting of principles, criteria, indicators, and decision alternatives (mathematical model). In addition to the indicators of the ecosystem component, environmental management indicators associated with territorial planning were included. This is considered an innovative reference as it establishes a bridge between the conservation and the development strategies.The mathematical model was based on weighting the criteria and indicators of Principle 1, by 9 experts who used two weighting methods: pair comparison and direct combination. This model provides Colombia with a methodological tool that will enable both the definition of Buffer Zones for terrestrial Protected Areas and their incorporation as an environmental requirement of the land use planning. The present research can also be applied to the Protected Areas of other tropical countries that present similar socio-ecosystem dynamics.

Research on Intelligent Prediction and Forecast Model for Construction Period of Transmission and Transformation Engineering Based on BP Neural Network

The construction period is one of the important control objectives of the construction and management of power transmission and transformation projects. If the construction period is not well controlled, it will lead to the failure of the project, cause disputes between all parties to the construction, and the economic and social benefits of the project cannot be ignored. Negative Effects. Therefore, it is of great significance to carry out the research on the construction period prediction method to improve the economic efficiency of the construction of power transmission and transformation projects. Based on the systematic analysis of the factors affecting the construction period of power transmission and transformation projects, this paper constructs an intelligent prediction model for the construction period of power transmission and transformation projects based on BP neural network theory, and verifies the validity and prediction accuracy of the model through empirical analysis. Reasonable control of construction period provides reference and reference.

Real-Time Logistic Monitoring: System Prototype Overview

The average rate of fruit and other fresh food products that perishes during transport varies between 10 and 25%. This volume of losses justifies the need for quality control means. Under the Software as a Service (SaaS) paradigm, the Real-Time Logistic Monitoring (RTLM) system aims to respond to this problem through real-time monitoring of the conditions in which the fruit is transported. The RTLM project integrates a responsive web application, a monitoring services system, an Extract, Transform & Load (ETL) engine, a set of integrated services through sensor plugins developed with Arduino technology, and a Grafana dashboard instance.

Influence of Water Molecules on Polarization Behavior and Time–Frequency Dielectric Properties of Cellulose Insulation

Oil-immersed power transformer plays an important role in power transmission and transformation engineering. Moisture is one of the important factors to determine its insulation performance. Molecular simulation technique is used to study the mechanism of water molecules on the micro polarization behavior of cellulose insulation materials. The number of hydrogen bonds, solubility parameters, total dipole moment and polarizability are analyzed. These characteristics explain the action mechanism of water molecules on cellulose insulation. At the same time, the time domain and frequency dielectric response of cellulose insulation materials with different moisture content are explored. The dielectric modulus spectrum is introduced to replace the traditional frequency dielectric spectroscopy to characterize the micro relaxation process of cellulose insulation under different moisture content. Finally, the characteristic parameters are extracted from the polarization, depolarization current and dielectric modulus spectrum curves to evaluate the moisture content of cellulose insulation materials. The results show that the number of hydrogen bonds, binding energy density, solubility parameter, total dipole moment and polarizability increase with the increase of water content. It should be noted that dielectric modulus spectroscopy can effectively characterize the relaxation behavior of cellulose insulation materials. The moisture content of cellulose insulation can be quantitatively evaluated by DC conductivity, insulation resistance, imaginary part relaxation peak of dielectric modulus and integral value of real part and imaginary part of dielectric modulus.

Research on Transmission and Transformation Engineering Cost System Based on BIM 3D Modelling Technology

Taking the concept of service-oriented design as the concept, the paper designs the digital platform architecture based on the integrated application ideas and technical methods of the IFC standard and the three-dimensional geospatial engineering cost information platform, and builds a 3DGIS+BIM digital power engineering cost based on the B/S network architecture. information platform. Combined with the application value of BIM technology in the field of engineering cost, the applicability of BIM technology in the management of transmission and transformation engineering cost is first analysed; then the BIM technology is studied layer by layer from the aspects of graphical calculation, three-dimensional design and full process management Promoting strategies for application of engineering cost management; Finally, from the perspective of policy guidance, industry standards, BIM platform construction, and training of BIM talents, the application guarantee mechanism of BIM technology in transmission and transformation project cost management is proposed, with a view to BIM technology in transmission and transformation projects Provide reference for application promotion in cost management.

Have it Your Way: Generating Customized Log Datasets With a Model-Driven Simulation Testbed

Evaluations of intrusion detection systems (IDS) require log datasets collected in realistic system environments. Existing testbeds therefore offer user simulations and attack scenarios that target specific use-cases. However, not only does the preparation of such testbeds require domain knowledge and time-consuming work, but also maintenance and modifications for other use-cases involve high manual efforts and repeated execution of tasks. In this article, we therefore propose to generate testbeds for IDS evaluation using strategies from model-driven engineering. In particular, our approach models system infrastructure, simulated normal behavior, and attack scenarios as testbed-independent modules. A transformation engine then automatically generates arbitrary numbers of testbeds, each with a particular set of characteristics and capable of running in parallel. Our approach greatly improves configurability and flexibility of testbeds and allows to reuse components across multiple scenarios. We use our proof-of-concept implementation to generate a labeled dataset for IDS evaluation that is published with this article.

ISSUES OF ENSURING ECONOMIC AND ENERGY SECURITY IN THE “SMART CITY” SYSTEM

The publication reflects the results of research on economic security issues at the level of administrative center of the subject of the Russian Federation in the context of the development of the “smart city” system. Cutting-edge technologies are becoming a powerful engine of transformation, including the energy sector. Development of smart cities and digitalization of services require reorganization of the energy business, search of new innovative opportunities and the development of new strategies, the final result of which will be the creation of new business models for energy suppliers. As a result of largescale statistics and practical cases analysis the main (specific) smart risks, smart challenges and smart threats for the economic security system of the largest city have been classified, recommendations to modify existing business models for Russian energetic industry have been offered.

Incremental execution of rule-based model transformation

When model transformations are used to implement consistency relations between very large models, incrementality plays a cornerstone role in detecting and resolving inconsistencies efficiently when models are updated. Given a directed consistency relation between two models, the problem studied in this work consists in propagating model changes from a source model to a target model in order to ensure consistency while minimizing computational costs. The mechanism that enforces such consistency is called consistency maintainer and, in this context, its scalability is a required non-functional requirement. State-of-the-art model transformation engines with support for incrementality normally rely on an observer pattern for linking model changes, also known as deltas, to the application of model transformation rules, in so-called dependencies, at run time. These model changes can then be propagated along an already executed model transformation. Only a few approaches to model transformation provide domain-specific languages for representing and storing model changes in order to enable their use in asynchronous, event-based execution environments. The principal contribution of this work is the design of a forward change propagation mechanism for incremental execution of model transformations, which decouples dependency tracking from change propagation using two innovations. First, the observer pattern-based model is replaced with dependency injection, decoupling domain models from consistency maintainers. Second, a standardized representation of model changes is reused, enabling interoperability with EMF-compliant tools, both for defining model changes and for processing them asynchronously. This procedure has been implemented in a model transformation engine, whose performance has been evaluated experimentally using the VIATRA CPS benchmark. In the experiments performed, the new transformation engine shows gains in the form of several orders of magnitude in the initial phase of the incremental execution of the benchmark model transformation and change propagation is performed in real time for those model sizes that are processable by other tools and, in addition, is able to process much larger models.

Schedule Risk Analysis of EPC Project for Power Transmission and Transformation Project Led by Design Enterprise

The advantage of the EPC model is that it can alleviate the contradictions of all parties, integrate resources, and release the owners from management pressure. However, the various risks in the whole life cycle of the power transmission and transformation project are complicated, and the schedule management is the weak point of the EPC general contractor with the design as the leader, and the management of the project schedule is directly related to the profit and reputation of the general contractor. Therefore, this paper will comprehensively analyze the potential schedule risk in combination with the characteristics of power transmission and transformation engineering, and use the set pair analysis principle to establish a fault tree risk analysis model to evaluate the schedule risk of the EPC project of the power transmission and transformation project led by the design enterprise.

A model-driven framework for data-driven applications in serverless cloud computing.

In a serverless cloud computing environment, the cloud provider dynamically manages the allocation of resources whereas the developers purely focus on their applications. The data-driven applications in serverless cloud computing mainly address the web as well as other distributed scenarios, and therefore, it is essential to offer a consistent user experience across different connection types. In order to address the issues of data-driven application in a real-time distributed environment, the use of GraphQL (Graph Query Language) is getting more and more popularity in state-of-the-art cloud computing approaches. However, the existing solutions target the low level implementation of GraphQL, for the development of a complex data-driven application, which may lead to several errors and involve a significant amount of development efforts due to various users’ requirements in real-time. Therefore, it is critical to simplify the development process of data-driven applications in a serverless cloud computing environment. Consequently, this research introduces UMLPDA (Unified Modeling Language Profile for Data-driven Applications), which adopts the concepts of UML-based Model-driven Architectures to model the frontend as well as the backend requirements for data-driven applications developed at a higher abstraction level. Particularly, a modeling approach is proposed to resolve the development complexities such as data communication and synchronization. Subsequently, a complete open source transformation engine is developed using a Model-to-Text approach to automatically generate the frontend as well as backend low level implementations of Angular2 and GraphQL respectively. The validation of proposed work is performed with three different case studies, deployed on Amazon Web Services platform. The results show that the proposed framework enables to develop the data-driven applications with simplicity.

Sustainable Development Goals (SDGs): Assessing the Contribution of Higher Education Programmes

Universities are engines of societal transformation and can nurture future citizens and navigate them towards sustainability through their educational programmes. Here, we developed an assessment framework for educational institutions to evaluate the contribution of their educational programmes to sustainability by reviewing the alignment of their intended learning outcomes to the enabling conditions for a vision of sustainability based on the Sustainable Development Goals (SDGs). The tool is based on a systemic grouping of the SDGs into eight sustainability attributes, namely, Safe Operating Space, Just Operating Space, Resilient Sustainable Behaviours, Alternative Economic Models, Health and Wellbeing, Collaboration, Diversity and Inclusion, and Transparency and Governance, and uses a word code developed specifically for each sustainability attribute to assess the coverage of the SDGs in master’s programmes’ learning outcomes. The tool uses multi-criteria analysis to compare and rank programmes according to the alignment of their learning outcomes to the sustainability attributes and their contribution to sustainability. It was first tested using data from a University’s eighteen master’s programmes on a range of subjects and subsequently applied to compare forty UK and European master’s programmes focusing on environment and sustainability. Findings demonstrate that even environmental programmes face some important gaps related to health, wellbeing, diversity, inclusion, and collaboration, amongst others, and reinforce the need for all universities to understand the contribution of their programmes to sustainability. The application of the tool can generate empirical evidence on the effectiveness of university programmes and establish a strong argument regarding the potential of education as a tool for achieving the SDGs.