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Normally in the past, the complexity of creation was only faced by the industry. Industry had the information and technology to meet the challenge and try to succeed. Today, those two ingredients are within the reach of anyone, especially university students. This is the turning point to target education toward the spirit of creation, and away from the still current aging spirit of being employed. Humanity is pushing for creation, whatever its origin, to be used for growth, productivity, welfare development and aligned with nature, making the act of creation a deeply conscious and responsible activity. Universities around the world are moving their infrastructures into these waters of education for creation, students are entering training spaces to meet immediate qualification needs, and societies are requesting an ocean of solutions. This work is focused on integrating a solution that can empower universities and students to fulfill the goal of becoming epicenters of creations, in tune with nature, and train future responsive entrepreneurs for the world. Volition is a cloud-based engine in the form of a platform for its users to become aware of the challenge of creating a solution for the market, become disciplined experts in the execution of each business responsibility, and discover what customers really want to scale the solution to the world. Volition is accompanied by an educational strategy that aims to replicate in the classroom the innovation environment at each course taught in the program, called RAIS. [ABSTRACT FROM AUTHOR]

• Evaluation of electric power system designs requires comprehensive test platforms. • An open-source test platform is developed that permits this evaluation. • The platform models integrated transmission and distribution system operations. • The platform permits dynamic testing of bid-based transactive energy designs. • Test cases demonstrate the capabilities of the platform. This study presents an open-source software platform specifically tailored to permit careful dynamic performance evaluation of transactive energy designs for end-to-end electric power systems. The platform models a centrally-managed wholesale power market operating over a transmission grid linked to one or more distribution systems, where each distribution system consists of a collection of grid-edge resources operating over a distribution grid. Test case findings are presented to illustrate the capabilities of the platform. The test cases implement a transmission system linked to a distribution system populated by households that have smart price-responsive appliances as well as conventional loads. Transactions at the distribution level are conducted in accordance with a well-known bid-based transactive energy design known as the PowerMatcher. [ABSTRACT FROM AUTHOR]

Robotic construction through concrete 3D printing is an in-progress revolution in construction industry. While significant progress is made on hardware related challenges, software and information related issues of such innovative system are less discussed. In this paper, a software platform is proposed for data retrieval and analysis from BIM models and utilizing it efficiently during various stages of the process. While the general idea of using BIM for automated construction has been mentioned before, the implementation details (the focus of this paper) were not previously discussed. To this aim, a framework is proposed to integrate BIM into an automated construction system. A Planning and Operations Control Software for Automated Construction (POCSAC) is developed as a major enabler for a seamless integration of BIM and Contour Crafting. The interoperation between different components of the construction system and BIM platform are designed to maximize the realized benefits through synergy of the two technologies. [ABSTRACT FROM AUTHOR]

Isogeometric analysis (IGA) has been developed for more than a decade. However, the usage of IGA is by far limited mostly within academic community. The lack of automatic or semi-automatic software platform of IGA is one of the main bottlenecks that prevent IGA from wide applications in industry. In this paper, we present a comprehensive IGA software platform that allows IGA to be incorporated into existing commercial software such as Abaqus, heading one step further to bridge the gap between design and analysis. The proposed IGA software framework takes advantage of user-defined elements in Abaqus, linking with general. IGES files from commercial computer aided design packages, Rhino specific files and mesh data. The platform includes all the necessary modules of the design-through-analysis pipeline: pre-processing, surface and volumetric T-spline construction, analysis and post-processing. Several practical application problems are studied to demonstrate the capability of the proposed software platform. [ABSTRACT FROM AUTHOR]

In the article below the author describes best practices of his company's 25-years experience in the field of development and industrial implementation of complex corporate-level software systems for solutions to everyday production and planning tasks in water supply. All software systems described have been developed using the specialized CityCom™ platform that includes instrumentation tools not only for GIS-based inventory and hydro-modeling but also for dispatch management, accident localization control, providing events logs & analysis (flow parameters, damages, works, machinery usage, diagnostics), planning of capital repairs and etc. The basic principle underlying the software systems provided is the main tenet of informatics science: any data has to be identified and stored only once and in one place. So all of the CityCom™ corporate-level projects use a single corporate database that consist of hundreds of tables where all the data is stored in accordance with the above-mentioned principle. The feature of CityCom™ that appears to be most in demand is the ability to perform hydraulic modeling with no limits imposed on the following parameters: network dimension, number of loops, number of sources and pump stations working simultaneously. However, a key feature of CityCom™ hydro-modeling instrumentation is that it can be used not as «standalone» application but as an integral part of a complex system combining all aspects of water-supply enterprise data modeling solution. The economic advantages of its implementation are ensured by: - optimizing of pipeline networks topology and parameters (reconstructions and switching); - optimizing of hydraulic modes according to diurnal fluctuations of water consumption (dispatching of current switches and pump stations control); - reducing the number of accidents as well as defects and damages (10-12% per year during the first 5-6 years, then stabilizing) and as a result, reducing the cost of repairs; - reducing of potable water loss down to 5..6% of water supply volume; - improving ergonomics and staff productivity. All implementations for water supply and sewerage systems are located in Russia. Largest of them in terms of scale are in the cities (population / pipelines network length): Nizhny Novgorod (1.300.000/5.000 km), Novokuznetsk (550.000/1.800 km), Naberezhnye Chelny (530.000/ 1.400 km), Yoshkar-Ola (270.000/1.300 km). Payback of expenses for implementation of the above has made from 2 to 5 years. [ABSTRACT FROM AUTHOR]

As demand of higher computing power is steadily increasing, it becomes popular to equip a many-core accelerator in a computer system to run concurrent applications. Efficient management of compute resources in such a system is challenging because various factors such as workload variation, QoS requirement change, and hardware failure may cause dynamic change in system status. Recently, a variety of resource management techniques for many-core accelerators have been proposed. They are usually tailored for a specific target architecture. In this paper, we present SoPHy+, which supports various types of many-core accelerators, based on a hybrid resource management technique. SoPHy+ provides a seamless design flow from programming front-end, which generates dataflow-style function codes automatically from the task specification, to run-time environment, which adaptively manages compute resources for concurrent applications in response to system status change. SoPHy+ has been implemented on two different many-core architectures: the Intel Xeon Phi coprocessor and an Epiphany-like NoC virtual prototype. Experimental results prove that SoPHy+ is capable of adapting to the run-time workload variation effectively with affordable overhead of run-time resource management. [ABSTRACT FROM AUTHOR]

A novel interactive software platform is proposed to support design and development for PSE. It has been implemented to address the statistical validation of structural partitioning methods. According to several features given as model parameters, it produces incidence matrices whose structural partitioning can lead to a more efficient resolution of such models. The global objective is to generate automatically an arbitrary number of incidence matrices, shaped on the basis of statistical parameters associated with real-world PSE models. Then, partitioning methods can be executed on the generated matrices. Computational results for several problem instances are reported. Realistic cases were chosen by increasing the model-complexity level: a standard distillation column and an ammonia synthesis plant. In particular, the Direct Method, the Extended Direct Method and the Improved Extended Direct Method (IEDM) were evaluated. In comparison, the IEDM exhibited statistically significant enhancements of efficiency values for the resolution of the corresponding models. [ABSTRACT FROM AUTHOR]

The earth system model is one of the most complicated computer simulation software in the human development history, which is the basis of understanding and predicting the climate change, and an important tool to support the climate change related decisions. CAS-ESM, Chinese Academy of Science Earth System Model, is developed by the Institute of Atmospheric Physics(IAP) and its cooperators. This system contains the complete components of the climate system and ecological environment system including global atmospheric general circulation model(AGCM), global oceanic general circulation model(OGCM), ice model, land model, atmospheric chemistry model, dynamic global vegetation model(DGVM), ocean biogeochemistry model(OBM) and regional climate model(RCM), etc. Since CAS-ESM is a complex system and is designed as a scalable and pluggable system, a parallel software platform(SC-ESSP) is needed. SC-ESSP will be developed as an open software platform running on Chinese earth system numerical simulation facilities for different developers and users, which requires that the component models need to be standard and unified, and the platform should be pluggable, high performance and easy-to-use. To achieve this goal, based on the platform of Community Earth System Model(CESM), a parallel software application platform named SC-ESAP is designed for CAS-ESM, mainly including compile and run scripts, standard and unified component models, 3-D coupler component, coupler interface creator and some parallel and optimization work. A component framework SC-ESMF will be developed based on the framework SC-Tangram for the more distant future. [ABSTRACT FROM AUTHOR]

We have been developing BriCA (Brain-inspired Computing Architecture), the generic software platform that can combine an arbitrary number of machine learning modules to construct higher structures such as cognitive architectures inspired by the brain. We discuss requirements analysis and design principles of this cognitive computing platform, report its implementation, and describe plans for further development. [ABSTRACT FROM AUTHOR]

In this paper we present the main foundations and features of an integrated framework and software platform that enables the use of model-based tools in design, operational optimisation and advanced control studies. A step-wise procedure is outlined involving (i) the development of a high-fidelity dynamic model, and its validation and model analysis, (ii) a model approximation step, including system identification, model reduction and global sensitivity analysis, (iii) a receding horizon modelling step for model-predictive control (MPC) and reactive scheduling, (iv) a suite of multi-parametric programming techniques for optimisation under uncertainty, explicit/multi-parametric MPC and state-estimation and (v) an ‘in-silico’ validation step for the derived optimisation, control and/or scheduling strategies to be analysed within the original high-fidelity model. The proposed software platform, PAROC, is also introduced and demonstrated in three different classes of process systems engineering applications; a combined heat and power energy system, a distillation column and a periodic purification process for biopharmaceuticals. [ABSTRACT FROM AUTHOR]

The detailed characterization of site-specific glycosylation requires the identification of glycan composition and specific attachment sites on proteins, which need the identification of intact glycopeptides by mass spectrometry. In this study, we present an analytical and computational strategy for the high throughput characterization of intact N-glycopeptides derived from complex proteome samples. N-glycopeptides were identified using the spectra acquired for intact glycopeptides as well as de-glycopeptides. The Y1 ion (peptide + GlcNAc) was accurately determined from the spectra of intact glycopeptides, and the structure of glycan was then identified by searching a constructed glycan database with calculated molecular weight of glycans and their fragment ions. The peptide sequences of intact glycopeptides were identified by matching the molecular weight calculated from Y1 ion to that of deglycosylated peptides from the same HILIC enrichment and identified by a separated LC–MS/MS analysis. The fully automated software platform integrates all of the above processes involved in the identification of the intact N-glycopeptides. This platform was applied to detailed characterization of site-specific glycosylation in HEK 293T cells, which led to the identification of 2249 unique intact N-glycopeptides. These intact glycopeptides revealed 1769 site-specific N-glycans on 453 glycosylation sites which demonstrated the high heterogeneity of glycosylations. Biological significance We presented a fully automated software platform for the high throughput characterization of intact N-glycopeptides derived from complex proteome samples. Intact glycopeptides and their deglycosylated forms were identified respectively and combined according to the commonality of molecular weights of peptide backbones. The strong correlation of retention times effectively filtered out random matches. The reliability of this strategy was carefully evaluated which showed a probability of random matches less than 1%. In total, 2249 intact glycopeptides were identified which is by the far the largest dataset among the studies of N-glycoproteomics. [ABSTRACT FROM AUTHOR]

Abstract: The design of manufacturing systems is a critical task to be addressed throughout the factory life-cycle phases, including the early design, detailed design, ramp-up, reconfiguration, and monitoring. An efficient and effective system design platform may have a relevant impact on the profitability of industrial companies facing these challenges. Although several commercial applications are available for supporting different activities within the manufacturing system design and operation these stand-alone tools are usually supplied by different software vendors and cannot be easily integrated, thus entailing a massive and time-consuming integration effort. This paper proposes the integration of heterogeneous software tools supporting factory design activities over a common platform. A virtual factory environment, based on a shared data model providing to all the applications a common language to exchange data, is developed. A test case is presented that shows the integration of five methods and the related software tools to support different activities for the design of a manufacturing production line, hence the benefits derived by the application of this integrated approach in industry. [Copyright &y& Elsevier]

Abstract: This paper describes an agent-based platform for the allocation of loads in distributed transportation logistics, developed as a collaboration between CWI, Dutch National Center for Mathematics and Computer Science, Amsterdam and Vos Logistics Organizing, Nijmegen, The Netherlands. The platform follows a real business scenario proposed by Vos, and it involves a set of agents bidding for transportation loads to be distributed from a central depot in the Netherlands to different locations across Germany. The platform supports both human agents (i.e. transportation planners), who can bid through specialized planning and bidding interfaces, as well as automated, software agents. We exemplify how the proposed platform can be used to test both the bidding behaviour of human logistics planners, as well as the performance of automated auction bidding strategies, developed for such settings. The paper first introduces the business problem setting and then describes the architecture and main characteristics of our auction platform. We conclude with a preliminary discussion of our experience from a human bidding experiment, involving Vos planners competing for orders both against each other and against some (simple) automated strategies. [ABSTRACT FROM AUTHOR]

In order to build a heterogeneous multi-robot system that can be regarded as a primitive prototype of a future symbiotic autonomous human-robot system, this paper presents a knowledge model-based heterogeneous multi-robot system implemented by a software platform. With using frame-based knowledge representation, a knowledge model is constructed to describe the features of heterogeneous robots as well as their behaviors according to human requests. The required knowledge for constructing a heterogeneous multi-robot system can be therefore integrated in a single model and shared by robots and users. Based on the knowledge model, the heterogeneous multi-robot system is defined in the Software Platform for Agents and Knowledge Management (SPAK) by use of XML format. With the use of SPAK, the cooperative operation of heterogeneous multi-robot system can be flexibly carried out. The proposed system not only can integrate heterogeneous robots and various techniques for robots, but also can automatically perform human-robot interaction and plan robot behaviors taking into account different intelligence of robots corresponding to human requests. In this paper, an actual heterogeneous multi-robot system comprised by humanoid robots (Robovie, PINO), mobile robot (Scout) and entertainment robot dog (AIBO) is built and the effectiveness of the proposed system is verified by experiment. [Copyright &y& Elsevier]

• Between 2017 and 2019 we developed in Romania the NEARBY cloud-based online platform to reduce survey images, detect, validate and report in near real time asteroid detections and NEA candidates. In 2018 and 2019 we tested NEARBY during a few pilot mini-surveys observed with the Isaac Newton Telescope in La Palma. Two NEAs were discovered, recovered and reported promptly to MPC, other 4 recently discovered NEAs were confirmed, and other 22 Hungarias and 7 Mars crossing asteroids were discovered using NEARBY. We compare NEARBY with other few available software, presenting case study for possible future planned EURONEAR surveys. In 2015 we started a PhD thesis aiming to write a moving objects processing system (MOPS) aimed to detect near Earth asteroids (NEAs) in astronomical surveys planned within the EURONEAR project. Based on this MOPS experience, in 2017 we proposed the NEARBY project to the Romanian Space Agency , which awarded funding to the Technical University of Cluj-Napoca (UTCN) and the University of Craiova for building a cloud-based online platform to reduce survey images, detect, validate and report in near real time asteroid detections and NEA candidates. The NEARBY platform was built and is available at UTCN since Feb 2018, being tested during 5 pilot surveys observed in 2017-2018 with the Isaac Newton Telescope in La Palma. Two NEAs were discovered in Nov 2018 (2018 VQ1 and 2018 VN3), being recovered and reported to MPC within 2 hours. Other 4 discovered NEAs were found from a few dozen possible NEA candidates promptly being followed, allowing us to discover 22 Hungarias and 7 Mars crossing asteroids using the NEARBY platform. Compared with other few available software, NEARBY could detect more asteroids (by 8-41 %), but scores less than human detection (by about 10 %). Using resulted data, the astrometric accurancy, photometric limits and an INT NEA survey case study are presented as guidelines for planning future surveys. [ABSTRACT FROM AUTHOR]

This work presents a software platform to compute depth-integrated non-hydrostatic coastal and open channel flows. The software is based on the V ertically- A veraged and M oment (VAM) equations model. The VAM model uses the weighted residual method to account for the non-hydrostaticity and non-uniformity of flow. After presenting the governing equations, numerical scheme and structure of the graphical user interface, the software is applied to solve coastal and open channel flow tests with significant non-hydrostaticity and non-uniformity of flow. The results are compared with hydrostatic model computations and laboratory measurements. Where a hydrostatic-based simulation poorly reproduces experimental observations, the higher-order model equations by this software platform generate excellent predictions. These findings highlight the potential of this user-friendly software platform for modeling open channel, river and nearshore flows and processes, where non-hydrostatic pressure and non-uniform velocity shall be accounted for, which entails a meaningful advance for the hydraulic community. • A software platform to compute depth-integrated non-hydrostatic flows is presented. • The software is based on the Vertically-Averaged and Moment equations model. • The software is applied to solve several open channel and coastal flow tests. • Excellent agreements are obtained between the software results and experimental data. [ABSTRACT FROM AUTHOR]

• A fire-new design is propounded as an important aided tool for PCS software developers. • The functionality module has been designed. • The development technology was proposed. The Plasma Control System (PCS) is a critical system of the tokamak device to guarantee the physical experiment operation. While the Chinese Fusion Engineering Testing Reactor (CFETR) PCS is in the preliminary development stage, the newly designed Plasma Control System Software Development Platform (PCS-SDP) will provide an effective, convenient, and visual development environment for PCS software developers. The PCS-SDP is developed based on the Eclipse framework as an extension and finally realized as an Eclipse plug-in. It is deployed in a thin-client C/S mode in which developers log in and work remotely and all the developments are carried on a development server. The PCS-SDP possesses an intuitive UI and contains modules of project management, algorithm management, visualization management, testing management, and version management. Because of these customized functions, the PCS-SDP makes the developers focus on the control logic design of the PCS algorithms without the need to pay attention to the PCS details; the work efficiency is improved significantly. In this paper, the requirements are analyzed, the system architecture and module design are presented, and some functions are demonstrated. The initial hardware environment deployment has been implemented and is also presented in this paper. Further efforts will be made to implement and demonstrate the functions of all modules on the EAST PCS, then serve CFETR PCS development and can be appropriate for most Plasma Control Systems. [ABSTRACT FROM AUTHOR]

In recent years, various severely natural disasters have swept the world, especially the debris flow in geological disaster, which causes huge losses and needs lengthy recovery. This motivates a comprehensive consideration on post-disaster loss and recovery in a closed loop point of view, based on a novel systematic two-stage evaluation method, this study focuses on loss evaluation and emergency resilience decision of debris flow. In the first stage, the weighing technique is applied to a reasonably established index system for loss evaluation. Then, Combined with technique for order preference by similarity to Ideal solution (TOPSIS) and the grey relation analysis (GRA) is utilized to evaluate the loss level of debris flow. In the second stage, an improved restoration triangle model is used to evaluate the post-disaster reconstruction and recovery. In order to solve the complex computational problems, a specific software system was developed to ensure convenience and efficiency in practical applications. The validity of the whole study is verified by case study. The results demonstrate that the proposed method can help decision makers generate strategies in risk management. The framework of the post-disaster evaluation of debris flow can be summarized as in Fig. 1with following three research phases. Phase I: To establish a loss evaluation index system and evaluate the loss of post-disaster by using a comprehensive GRA- TOPSIS methodPhase II: To obtain the resilience of disaster areas and provide better guideline for DMs by using a novel resilience triangle modelPhase III: To calculate the result and achieve visualization by designing a software system. Image 1 • Established an integrated closed loop model for post-disaster loss and resilience evaluation. • Designed a software system to provide users with friendly and visual implementation. • Building Information Modeling (BIM) is utilized in debris flow loss assessment and reconstruction. [ABSTRACT FROM AUTHOR]