Procedia CIRP ◽  
2017 ◽  
Vol 62 ◽  
pp. 74-77
Author(s):  
Ichiro Nagasaka ◽  
Nariaki Nishino
Keyword(s):  

2004 ◽  
Vol 14 (02) ◽  
pp. 163-176 ◽  
Author(s):  
MATTEO COMIN ◽  
CARLO FERRARI ◽  
CONCETTINA GUERRA

In this paper we present a scenario for the grid immersion of the procedures that solve the protein structural similarity determination problem. The emphasis is on the way various computational components and data resources are tied together into a workflow to be executed on a grid. The grid deployment has been organized according to the bag-of-service model: a set of different modules (with their data set) is made available to the application designers. Each module deals with a specific subproblem using a proper protein data representation. At the design level, the process of task selection produces a first general workflow that establishes which subproblems need to be solved and their temporal relations. A further refinement requires to select a procedure for each previously identified task that solves it: the choice is made among different available methods and representations. The final outcome is an instance of the workflow ready for execution on a grid. Our approach to protein structure comparison is based on a combination of indexing and dynamic programming techniques to achieve fast and reliable matching. All the components have been implemented on a grid infrastructure using Globus, and the overall tool has been tested by choosing proteins from different fold classes. The obtained results are compared against SCOP, a standard tool for the classification of known proteins.


Author(s):  
Silke Cuno ◽  
Lina Bruns ◽  
Nikolay Tcholtchev ◽  
Philipp Lämmel ◽  
Ina Schieferdecker

This paper presents the results of a recent study that was conducted with a number of German municipalities/cities. Based on the obtained and briefly presented recommendations emerging from the study, the authors propose the concept of an Urban Data Space (UDS), which facilitates an eco-system for data exchange and added value creation thereby utilizing the various types of data within a smart city/municipality. Looking at an Urban Data Space from within a German context and considering the current situation and developments in German municipalities, this paper proposes a reasonable classification of urban data that allows to relate the various data types to legal aspects and to conduct solid considerations regarding technical implementation designs and decisions. Furthermore, the Urban Data Space is described/analyzed in detail, and relevant stakeholders are identified, as well as corresponding technical artifacts are introduced. The authors propose to setup Urban Data Spaces based on emerging standards from the area of ICT reference architectures for Smart Cities, such as DIN SPEC 91357 “Open Urban Platform” and EIP SCC. Thereby, the paper walks the reader through the construction of an UDS based on the above mentioned architectures and outlines all the goals, recommendations and potentials, which an Urban Data Space can reveal to a municipality/city.


Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2981 ◽  
Author(s):  
Johannes Giehl ◽  
Hayri Göcke ◽  
Benjamin Grosse ◽  
Johannes Kochems ◽  
Joachim Müller-Kirchenbauer

The energy transformation is changing the structure of the energy sector in Europe and Germany. In this paper the current structure of the energy sector is analysed both empirically as well as theoretically. Therefore, the authors have developed the business model framework for the energy transformation (BMFE). The framework is a synthesis of classical business model designs. An exhaustive survey of existing business models based on primary data collection and a literature review leads to 638 business models. Finally, 69 prototypical business models of the energy sector are the result of the classification of these business models. The information of the business models within the BMFE is applied to show the growing importance of value creation networks in energy industry. The work represents the current status of the business models in the energy sector.


2018 ◽  
Vol 18 (5) ◽  

Going from supply and demand analysis to value creation can be puzzling. The paper defines a simple transaction model representing value creation with and without the intermediation of a firm, measuring transaction price indetermination, and defining conditions for a transaction to occur. Using Debreu’s classification of “The theory of value”, an analogy pictures the role of the firm. In the theory of knowledge, it is one of the four dimensions of a definition of an object. These dimensions are discussed, particularly the functions of the firm and its components, what it is made of.


Author(s):  
Зуйков ◽  
Kirill Zuykov

The paper is devoted to the new approach to value creation management in IT-based organizational change projects that utilizes the product service model, management by stages and value control. The approach solves the problem that a business-value created in a project is out of control because it is realized in the post-project stage. The paper studies value control problems that are conditioned by the utilization of the traditional IT-project lifecycle. The method of value metrics definition that is based on the product service model is presented together with the released value method a new method of value control that extends the earned value method with a vector of value creation performance indices. Those are to be considered in conjunction with the schedule performance index. Scope changes are used as an instrument to control the value creation process. The scope creep risk control is performed by calculation of stability margin based on previously done changes data.


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