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Journal articles on the topic 'Automatic data generator'
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Kronawitter, Stefan, Sebastian Kuckuk, Harald Köstler, and Christian Lengauer. "Automatic Data Layout Transformations in the ExaStencils Code Generator." Parallel Processing Letters 28, no. 03 (September 2018): 1850009. http://dx.doi.org/10.1142/s0129626418500093.
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Performance optimizations should focus not only on the computations of an application, but also on the internal data layout. A well-known problem is whether a struct of arrays or an array of structs results in a higher performance for a particular application. Even though the switch from the one to the other is fairly simple to implement, testing both transformations can become laborious and error-prone. Additionally, there are more complex data layout transformations, such as a color splitting for multi-color kernels in the domain of stencil codes, that are manually difficult. As a remedy, we propose new flexible layout transformation statements for our domain-specific language ExaSlang that support arbitrary affine transformations. Since our code generator applies them automatically to the generated code, these statements enable the simple adaptation of the data layout without the need for any other modifications of the application code. This constitutes a big advance in the ease of testing and evaluating different memory layout schemes in order to identify the best.
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Crooks, P., and R. H. Perrott. "An automatic data distribution generator for distributed memory machines." Concurrency: Practice and Experience 10, no. 8 (July 1998): 607–29. http://dx.doi.org/10.1002/(sici)1096-9128(199807)10:8<607::aid-cpe330>3.0.co;2-g.
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Brdjanin, Drazen, Danijela Banjac, Goran Banjac, and Slavko Maric. "Automated two-phase business model-driven synthesis of conceptual database models." Computer Science and Information Systems 16, no. 2 (2019): 657–88. http://dx.doi.org/10.2298/csis181010014b.
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Existing approaches to business process model-driven synthesis of data models are characterized by a direct synthesis of a target model based on source models represented by concrete notations, where the synthesis is supported by monolithic (semi)automatic transformation programs. This article presents an approach to automated two-phase business process model-driven synthesis of conceptual database models. It is based on the introduction of a domain specific language (DSL) as an intermediate layer between different source notations and the target notation, which splits the synthesis into two phases: (i) automatic extraction of specific concepts from the source model and their DSL-based representation, and (ii) automated generation of the target model based on the DSL-based representation of the extracted concepts. The proposed approach enables development of modular transformation tools for automatic synthesis of the target model based on business process models represented by different concrete notations. In this article we present an online generator, which implements the proposed approach. The generator is implemented as a web-based, service-oriented tool, which enables automatic generation of the initial conceptual database model represented by the UML class diagram, based on business models represented by two concrete notations.
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Šulc, Stanislav, Vít Šmilauer, and Bořek Patzák. "MUPIF WORKFLOW EDITOR AND AUTOMATIC CODE GENERATOR." Acta Polytechnica CTU Proceedings 26 (March 17, 2020): 107–11. http://dx.doi.org/10.14311/app.2020.26.0107.
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Integrating applications or codes into MuPIF API Model enables easy integration of such APIs into any workflow representing complex multiphysical simulation. This concept of MuPIF also enables automatic code generation of the computational code for given workflow structure. This article describes a ’workflow generator’ tool for the code generation together with ’workflow editor’ graphical interface for interactive definition of the workflow structure and the inner data dependencies. The usage is explained on a thermo-mechanical simulation.
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Mohammed, Sura Jasim. "New Algorithm of Automatic Complex Password Generator Employing Genetic Algorithm." JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences 26, no. 2 (January 18, 2018): 295–302. http://dx.doi.org/10.29196/jub.v26i2.546.
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Due to the occurred increasing in information sharing, internet popularization, E-commerce transactions, and data transferring, security and authenticity become an important and necessary subject. In this paper an automated schema was proposed to generate a strong and complex password which is based on entering initial data such as text (meaningful and simple information or not), with the concept of encoding it, then employing the Genetic Algorithm by using its operations crossover and mutation to generated different data from the entered one. The generated password is non-guessable and can be used in many and different applications and internet services like social networks, secured system, distributed systems, and online services. The proposed password generator achieved diffusion, randomness, and confusions, which are very necessary, required and targeted in the resulted password, in addition to the notice that the length of the generated password differs from the length of initial data, and any simple changing and modification in the initial data produces more and clear modification in the generated password. The proposed work was done using visual basic programing language.
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Wills, Graham, and Leland Wilkinson. "AutoVis: Automatic Visualization." Information Visualization 9, no. 1 (December 18, 2008): 47–69. http://dx.doi.org/10.1057/ivs.2008.27.
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AutoVis is a data viewer that responds to content–text, relational tables, hierarchies, streams, images–and displays the information appropriately (that is, as an expert would). Its design rests on the grammar of graphics, scagnostics and a modeler based on the logic of statistical analysis. We distinguish an automatic visualization system (AVS) from an automated visualization system. The former automatically makes decisions about what is to be visualized. The latter is a programming system for automating the production of charts, graphs and visualizations. An AVS is designed to provide a first glance at data before modeling and analysis are done. AVS is designed to protect researchers from ignoring missing data, outliers, miscodes and other anomalies that can violate statistical assumptions or otherwise jeopardize the validity of models. The design of this system incorporates several unique features: (1) a spare interface–analysts simply drag a data source into an empty window, (2) a graphics generator that requires no user definitions to produce graphs, (3) a statistical analyzer that protects users from false conclusions, and (4) a pattern recognizer that responds to the aspects (density, shape, trend, and so on) that professional statisticians notice when investigating data sets.
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Klimek, Radosław, Katarzyna Grobler-Dębska, and Edyta Kucharska. "System for automatic generation of logical formulas." MATEC Web of Conferences 252 (2019): 03005. http://dx.doi.org/10.1051/matecconf/201925203005.
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The satisfiability problem (SAT) is one of the classical and also most important problems of the theoretical computer science and has a direct bearing on numerous practical cases. It is one of the most prominent problems in artificial intelligence and has important applications in many fields, such as hardware and software verification, test-case generation, AI planning, scheduling, and data structures that allow efficient implementation of search space pruning. In recent years, there has been a huge development in SAT solvers, especially CDCL-based solvers (Conflict-Driven Clause-Learning) for propositional logic formulas. The goal of this paper is to design and implement a simple but effective system for random generation of long and complex logical formulas with a variety of difficulties encoded inside. The resulting logical formulas, i.e. problem instances, could be used for testing existing SAT solvers. The entire system would be widely available as a web application in the client-server architecture. The proposed system enables generation of syntactically correct logical formulas with a random structure, encoded in a manner understandable to SAT Solvers. Logical formulas can be presented in different formats. A number of parameters affect the form of generated instances, their complexity and physical dimensions. The randomness factor can be entered to every generated formula. The developed application is easy to modify and open for further extensions. The final part of the paper describes examples of solvers’ tests of logical formulas generated by the implemented generator.
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Puduppully, Ratish, and Mirella Lapata. "Data-to-text Generation with Macro Planning." Transactions of the Association for Computational Linguistics 9 (2021): 510–27. http://dx.doi.org/10.1162/tacl_a_00381.
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Abstract Recent approaches to data-to-text generation have adopted the very successful encoder-decoder architecture or variants thereof. These models generate text that is fluent (but often imprecise) and perform quite poorly at selecting appropriate content and ordering it coherently. To overcome some of these issues, we propose a neural model with a macro planning stage followed by a generation stage reminiscent of traditional methods which embrace separate modules for planning and surface realization. Macro plans represent high level organization of important content such as entities, events, and their interactions; they are learned from data and given as input to the generator. Extensive experiments on two data-to-text benchmarks (RotoWire and MLB) show that our approach outperforms competitive baselines in terms of automatic and human evaluation.
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ZHANG, YUANRUI, JUN LIU, EMRE KULTURSAY, MAHMUT KANDEMIR, NIKOS PITSIANIS, and XIAOBAI SUN. "AUTOMATIC PARALLEL CODE GENERATION FOR NUFFT DATA TRANSLATION ON MULTICORES." Journal of Circuits, Systems and Computers 21, no. 02 (April 2012): 1240004. http://dx.doi.org/10.1142/s021812661240004x.
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The nonuniform FFT (NuFFT) is widely used in many applications. Focusing on the most time-consuming part of the NuFFT computation, the data translation step, in this paper, we develop an automatic parallel code generation tool for data translation targeting emerging multicores. The key components of this tool are two scalable parallelization strategies, namely, the source-driven parallelization and the target-driven parallelization. Both these strategies employ equally sized geometric tiling and binning to improve data locality while trying to balance workloads across the cores through dynamic task allocation. They differ in the partitioning and scheduling schemes used to guarantee mutual exclusion in data updates. This tool also consists of a code generator and a code optimizer for the data translation. We evaluated our tool on a commercial multicore machine for both 2D and 3D inputs under different sample distributions with large data set sizes. The results indicate that both parallelization strategies have good scalability as the number of cores and the number of dimensions of data space increase. In particular, the target-driven parallelization outperforms the other when samples are nonuniformly distributed. The experiments also show that our code optimizations can bring about 32%–43% performance improvement to the data translation step of NuFFT.
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Magdalenić, Ivan, Danijel Radošević, and Dragutin Kermek. "Implementation Model of Source Code Generator." Journal of Communications Software and Systems 7, no. 2 (June 22, 2011): 71. http://dx.doi.org/10.24138/jcomss.v7i2.180.
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The on demand generation of source code and its execution is essential if computers are expected to play an active role in information discovery and retrieval. This paper presents a model of implementation of a source code generator, whose purpose is to generate source code on demand. Theimplementation of the source code generator is fully configurable and its adoption to a new application is done by changing the generator configuration and not the generator itself. The advantage of using the source code generator is rapid and automatic development of a family of application once necessary program templates and generator configuration are made. The model of implementation of the source code generator is general and implemented source code generator can be used in differentareas. We use a source code generator for dynamic generation of ontology supported Web services for data retrieval and for building of different kind of web application.
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Allain, Fabrice, Julien Roméjon, Philippe La Rosa, Frédéric Jarlier, Nicolas Servant, and Philippe Hupé. "Geniac: Automatic Configuration GENerator and Installer for nextflow pipelines." Open Research Europe 1 (July 2, 2021): 76. http://dx.doi.org/10.12688/openreseurope.13861.1.
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With the advent of high-throughput biotechnological platforms and their ever-growing capacity, life science has turned into a digitized, computational and data-intensive discipline. As a consequence, standard analysis with a bioinformatics pipeline in the context of routine production has become a challenge such that the data can be processed in real-time and delivered to the end-users as fast as possible. The usage of workflow management systems along with packaging systems and containerization technologies offer an opportunity to tackle this challenge. While very powerful, they can be used and combined in multiple ways thus increasing their usage complexity. Therefore, guidelines and protocols are required in order to detail how the source code of the bioinformatics pipeline should be written and organized to ensure its usability, maintainability, interoperability, sustainability, portability, reproducibility, scalability and efficiency. Capitalizing on Nextflow, Conda, Docker, Singularity and the nf-core initiative, we propose a set of best practices along the development life cycle of the bioinformatics pipeline and deployment for production operations which address different expert communities including i) the bioinformaticians and statisticians ii) the software engineers and iii) the data managers and core facility engineers. We implemented Geniac (Automatic Configuration GENerator and Installer for nextflow pipelines) which consists of a toolbox with three components: i) a technical documentation available at https://geniac.readthedocs.io to detail coding guidelines for the bioinformatics pipeline with Nextflow, ii) a linter to check that the code respects the guidelines, and iii) an add-on to generate configuration files, build the containers and deploy the pipeline. The Geniac toolbox aims at the harmonization of development practices across developers and automation of the generation of configuration files and containers by parsing the source code of the Nextflow pipeline. The Geniac toolbox and two demo pipelines are available on GitHub. This article presents the main functionalities of Geniac.
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Shi, Lei, Yi Zhuo, and Lin Juan Kang. "Modeling of Automatic Power Output Prediction for Wind Mechanical Generator." Applied Mechanics and Materials 246-247 (December 2012): 644–47. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.644.
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Due to the instability of the output in wind power, there exists some difficulties on wind power merger to electricity grid. The fast forecasting of output of wind power is in favor of reasonable allocation system and increase the possibility of power merger in a large scale. Based on the actual wind power data, this article utilizes the one order differential method to remove data unsteady and obtains the stable data. In view of the ARMA time series, a numerical prediction model of wind power output is established. The results show that the model has good precision and can be used in the production practice.
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Suenaga, Tsuyoshi, Kentaro Takemura, Jun Takamatsu, and Tsukasa Ogasawara. "Data Communication Support for Reusability of RT-Components – Converter Classification and Prototype Supporting Tool –." Journal of Robotics and Mechatronics 24, no. 1 (February 20, 2012): 64–70. http://dx.doi.org/10.20965/jrm.2012.p0064.
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In RT-Middleware, a data-centric communication pipeline between RT-Components called Data Port is designed for improving software reusability. OMG standardization such as the Robotic Localization Service is also promoted. However, the actual I/O specification is different in each developer. In this paper, we first enumerate all connection patterns of possible communication by adjusting protocols. We then propose a supporting tool for flexible data communication. The proposed tool generates source code based on information on the desired conversion. We actually implement the prototype tool of the automatic source code generator and evaluate it.
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Kapadais, Konstantinos, Iraklis Varlamis, Christos Sardianos, and Konstantinos Tserpes. "A Framework for the Detection of Search and Rescue Patterns Using Shapelet Classification." Future Internet 11, no. 9 (September 4, 2019): 192. http://dx.doi.org/10.3390/fi11090192.
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The problem of unmanned supervision of maritime areas has attracted the interest of researchers for the last few years, mainly thanks to the advances in vessel monitoring that the Automatic Identification System (AIS) has brought. Several frameworks and algorithms have been proposed for the management of vessel trajectory data, which focus on data compression, data clustering, classification and visualization, offering a wide variety of solutions from vessel monitoring to automatic detection of complex events. This work builds on our previous work in the topic of automatic detection of Search and Rescue (SAR) missions, by developing and evaluating a methodology for classifying the trajectories of vessels that possibly participate in such missions. The proposed solution takes advantage of a synthetic trajectory generator and a classifier that combines a genetic algorithm (GENDIS) for the extraction of informative shapelets from training data and a transformation to the shapelets’ feature space. Using the generator and several SAR patterns that are formally described in naval operations bibliography, it generates a synthetic dataset that is used to train the classifier. Evaluation on both synthetic and real data has very promising results and helped us to identify vessel SAR maneuvers without putting any effort into manual annotation.
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Wang, Yingxu, Xinming Tan, and Cyprian F. Ngolah. "Design and Implementation of an Autonomic Code Generator Based on RTPA." International Journal of Software Science and Computational Intelligence 2, no. 2 (April 2010): 44–65. http://dx.doi.org/10.4018/jssci.2010040103.
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Real-Time Process Algebra (RTPA) is a denotational mathematics for the algebraic modeling and manipulations of software system architectures and behaviors by the Unified Data Models (UDMs) and Unified Process Models (UPMs). On the basis of the RTPA specification and refinement methodologies, automatic software code generation is enabled toward improving software development productivity. This paper examines designing and developing the RTPA-based software code generator (RTPA-CG) that transfers system models in RTPA architectures and behaviors into C++ or Java. A two-phrase strategy has been employed in the design of the code generator. The first phrase analyzes the lexical, syntactical, and type specifications of a software system modeled in RTPA, which results in a set of abstract syntax trees (ASTs). The second phrase translates the ASTs into C++ or Java based on predesigned mapping strategies and code generation rules. The toolkit of RTPA code generator encompasses an RTPA lexer, parser, type-checker, and a code builder. Experimental results show that system models in RTPA can be rigorously processed and corresponding C++/Java code can be automatically generated using the toolkit. The code generated is executable and effective under the support of an RTPA run-time library.
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Pangkung, Andareas, Marhatang Marhatang, Citri Novianti Irlan, and Ummul Fasiha. "ANALISIS PENGARUH PENGGUNAAN AVR (AUTOMATIC VOLTAGE REGULATOR) TERHADAP SISTEM EKSITASI GENERATOR PADA BTG 1 (BOILER TURBIN GENERATOR) PT. SEMEN TONASA." Jurnal Sinergi Jurusan Teknik Mesin 16, no. 1 (May 26, 2019): 42. http://dx.doi.org/10.31963/sinergi.v16i1.1201.
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Abstrak: Generator sinkron bekerja dengan mengubah energi mekanis menjadi energilistrik tiga fasa. Tegangan keluaran generator harus konstan. Namun, padakenyataannya tegangan yang dihasilkan generator akan berubah akibat perubahanbeban. Untuk menjaga agar tegangan tetap konstan pada tegangan nominalnya, makadibutuhkan alat yang disebut AVR (Automatic Voltage Regulator). AVR ini bekerjadengan mengatur arus eksitasi agar nilai tegangan keluaran generator konstan. Hal itusangat penting dalam menjaga tingkat stabilitas generator. Penelitian ini bertujuanuntuk menganalisis penggunaan AVR pada sistem eksitasi generator. Dengan metodepenelitian, mengukur parameter pada sistem eksitasi hingga tegangan keluarangenerator. Kemudian dari data-data yang diperoleh, dapat dianalisis perfoma AVRkedua generator sehingga diketahui stabilitas generator pada setiap unitnya. Hasilpenelitian menunjukkan bahwa AVR pada generator 2 bekerja lebih optimaldibandingkan dengan AVR pada generator 1. Ditunjukkan dengan regulasi teganganpada generator 2 lebih rendah (0,279%) dibandingkan regulasi tegangan padagenerator 1 (0,385%). Hal ini dikarenakan AVR generator 2 menggunakan AVR barudengan tipe PRISMIC A3100 sedangkan AVR generator 1 tipe Unitrol F ABBmemiliki usia pemakaian yang lama sehingga daya gunanya pun menurun.Kata Kunci: AVR generator, Generator Sinkron, dan Sistem Eksitasi,
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Nuzillard, Jean-Marc, and Vicente de Paulo Emerenciano. "Automatic Structure Elucidation through Data Base Search and 2D NMR Spectral Analysis." Natural Product Communications 1, no. 1 (January 2006): 1934578X0600100. http://dx.doi.org/10.1177/1934578x0600100111.
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This work shows how two expert systems, LSD and SISTEMAT, can be used together to solve structure elucidation problems that were selected from recent literature articles. The LSD system is a structure generator that mainly relies on homo- and heteronuclear 2D NMR data. It lacks the knowledge of chemical shift values and of natural product chemistry. Conversely, the SISTEMAT data base contains about 20000 natural compounds and refers to both their 13C NMR chemical shifts and their botanical origin. When exploited by dedicated computer programs it yields structural constraints such as skeletal types and ring systems. The botanical and spectroscopic data in SISTEMAT proved to be very complementary in the constraints extraction process. Several application examples of the proposed methodology are described in detail.
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Camporeale, S. M., B. Fortunato, and G. Marilli. "Automatic System for Wind Turbine Testing." Journal of Solar Energy Engineering 123, no. 4 (June 1, 2001): 333–38. http://dx.doi.org/10.1115/1.1404432.
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An innovative electronic system for testing the performance of wind turbines is presented. The main goal of the system is to increase the accuracy in the measurements of torque and speed for each steady-state point of the turbine characteristic power curve. Another useful advantage provided by the electronic control is given by the possibility of fine tuning the load in order to obtain a large number of steady state experimental points describing the characteristic curve of the turbine. Moreover, the system is suitable for integration into an automatic data acquisition and control system. In the paper the main characteristics of the electronic system are described and compared with a traditional system. This electronic control system is used for testing a small Vertical Axis Wind Turbine in a wind tunnel. The wind turbine is directly coupled to a direct current electric generator, and a chopper, electronically controlled by means of a Pulse Width Modulator, is used to supply the circuit. The electric generator is used for braking the wind turbine at various speeds during the performance test. The experimental results obtained through the proposed system are presented and discussed.
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Del Campo, Mark, Angela Criswell, and Katsunari Sasaki. "Fast SAXS data at home--Your personal SAXS beamline." Acta Crystallographica Section A Foundations and Advances 70, a1 (August 5, 2014): C411. http://dx.doi.org/10.1107/s2053273314095886.
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Small angle X-ray scattering (SAXS) is a useful technique for extracting structural information from biological samples in solution. Our SAXS instrument, the BioSAXS-1000, combines Kratky collimation with confocal optics to achieve maximum X-ray flux on the sample without beam shape corrections. Recently, we offered three new upgrades to the BioSAXS-1000: (1) 2.3 times more flux with the OptiSAXS optic, (2) automatic sample loading, and (3) automatic data analysis. Here, we evaluate the quality of SAXS data collected in short exposure times on the BioSAXS-1000 with these 3 upgrades by using X-rays supplied by an FR-X rotating anode X-ray generator. We measured a concentration series for each of several protein standards (lysozyme, HSA, etc.). Our results show that 1-minute exposures were sufficient to determine the basic structural parameters: radius of gyration, extrapolated intensity at zero angle, and molecular weight. The upgraded BioSAXS-1000 provides a beamline experience in the home laboratory.
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Vougiouklis, Pavlos, Eddy Maddalena, Jonathon Hare, and Elena Simperl. "Point at the Triple: Generation of Text Summaries from Knowledge Base Triples." Journal of Artificial Intelligence Research 69 (September 3, 2020): 1–31. http://dx.doi.org/10.1613/jair.1.11694.
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We investigate the problem of generating natural language summaries from knowledge base triples. Our approach is based on a pointer-generator network, which, in addition to generating regular words from a fixed target vocabulary, is able to verbalise triples in several ways. We undertake an automatic and a human evaluation on single and open-domain summaries generation tasks. Both show that our approach significantly outperforms other data-driven baselines.
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Shi, Yunzhi, Xinming Wu, and Sergey Fomel. "SaltSeg: Automatic 3D salt segmentation using a deep convolutional neural network." Interpretation 7, no. 3 (August 1, 2019): SE113—SE122. http://dx.doi.org/10.1190/int-2018-0235.1.
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Salt boundary interpretation is important for the understanding of salt tectonics and velocity model building for seismic migration. Conventional methods consist of computing salt attributes and extracting salt boundaries. We have formulated the problem as 3D image segmentation and evaluated an efficient approach based on deep convolutional neural networks (CNNs) with an encoder-decoder architecture. To train the model, we design a data generator that extracts randomly positioned subvolumes from large-scale 3D training data set followed by data augmentation, then feed a large number of subvolumes into the network while using salt/nonsalt binary labels generated by thresholding the velocity model as ground truth labels. We test the model on validation data sets and compare the blind test predictions with the ground truth. Our results indicate that our method is capable of automatically capturing subtle salt features from the 3D seismic image with less or no need for manual input. We further test the model on a field example to indicate the generalization of this deep CNN method across different data sets.
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Shen, Sheng, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, and Wei Fan. "On the Generation of Medical Question-Answer Pairs." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 8822–29. http://dx.doi.org/10.1609/aaai.v34i05.6410.
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Question answering (QA) has achieved promising progress recently. However, answering a question in real-world scenarios like the medical domain is still challenging, due to the requirement of external knowledge and the insufficient quantity of high-quality training data. In the light of these challenges, we study the task of generating medical QA pairs in this paper. With the insight that each medical question can be considered as a sample from the latent distribution of questions given answers, we propose an automated medical QA pair generation framework, consisting of an unsupervised key phrase detector that explores unstructured material for validity, and a generator that involves a multi-pass decoder to integrate structural knowledge for diversity. A series of experiments have been conducted on a real-world dataset collected from the National Medical Licensing Examination of China. Both automatic evaluation and human annotation demonstrate the effectiveness of the proposed method. Further investigation shows that, by incorporating the generated QA pairs for training, significant improvement in terms of accuracy can be achieved for the examination QA system. 1
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Milosavljevic, Gordana, and Branko Perisic. "A method and a tool for rapid prototyping of large-scale business information systems." Computer Science and Information Systems 1, no. 2 (2004): 57–82. http://dx.doi.org/10.2298/csis0402057m.
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This paper presents a method and concepts of a supporting tool for rapid prototyping of large-scale business information systems. Our method is based on the following guidelines: (1) small team of highly skilled members with combined skills, (2) prototype-based development of subsystems and the system as a whole, (3) brainstorming sessions always involving system analysts database and application designers, and user representatives (if needed), and (4) application generator providing for efficient prototype development by maximum automation of all design phases. The also presented application generator (AppGen) is based on standardization of functional and visual characteristics of an application, a library of high-level, coarse grained components, and a set of rules for model-to-application mapping enabling automatic application reconfiguration in case of changes in the data model.
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Kimura, Shinichi, Yuki Asakura, Hiroaki Doi, and Masahiro Nakamura. "Document-Based Programming System for Seamless Linking of Satellite Onboard Software and Ground Operating System." Journal of Robotics and Mechatronics 29, no. 5 (October 20, 2017): 801–7. http://dx.doi.org/10.20965/jrm.2017.p0801.
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In satellites, onboard software is required to perform complicated mission sequences and autonomous scheduling, conduct preliminary data processing, and manage various onboard devices. The dependability of onboard software strongly affects the reliability of a satellite itself. Therefore, the onboard software must be both complex and reliable to perform complicated small satellite missions. We propose an automatic software generator to meet these requirements. This generates onboard software and a database for the ground operating system using satellite development documents, such as command and telemetry definition documents and fault detection, isolation, and recovery (FDIR) definition documents. By using this software generator, the software development load can be reduced and human error can be avoided, even if the definitions are modified in an ad hoc manner during the development process. The generator additionally enables the easy accommodation of user preferences and software depth variation during a mission.
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Tian, Tian, Wu Jian, and Nie Li. "Measurement of Amplifier Open-Loop Amplitude Frequency Characteristics Based on Virtual Instrument." Applied Mechanics and Materials 475-476 (December 2013): 16–22. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.16.
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In the electronic measurement field, how to measure the open-loop amplitude frequency characteristics of the amplifier automatically is a question to be overcame. And now , the system ,which under the integrated development environment that the virtual instrument software LabVIEW provides, to measure the open-loop amplitude frequency characteristics of the amplifier is developed by combining the modern electronic measurement technology and computer data processing technology. The virtual signal generator which is based on the data acquisition card, signal acquisition, correlation analysis, frequency response analysis, etc is included in the system. This design mainly includes the hardware circuit and the software program. The hardware circuit consists of the low noise preamplifier, measured operational amplifier, data acquisition card, power supply, computer, etc. Modular design is adopted in the software part, which includes the design of soft panel, signal generation, collection and analysis module. The advantages of the virtual instrument, such as the digital signal processing, waveform data automatic storage, graphical programming, are fully used in the modern electronic measurement. Simple structure, low cost, high level of test automation are its characteristics.
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Chruszczyk, Łukasz. "Automatic Test Bench for Selected Transmission Parameters of Power Line Conductors." International Journal of Electronics and Telecommunications 61, no. 1 (March 1, 2015): 59–65. http://dx.doi.org/10.1515/eletel-2015-0008.
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Abstract This paper presents automatic test bench used for measurement of selected high frequency parameters of a power copper line. The aim is fast estimation of line behavior in context of Power Line Communication (PLC). The hardware interface uses sinusoidal waveform generator, digital oscilloscope and a PC-class computer. The software interface created in LabVIEW environment performs signal processing and data presentation
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Jia, Guang Zheng, Jin Cai Geng, and Yong Ling Fu. "Development of High-Pressure Gas Test System." Applied Mechanics and Materials 278-280 (January 2013): 873–77. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.873.
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Abstract. The high-pressure gas test system was developed, which consists of a 0.9 MPa compressor, a nitrogen gas generator, a 15.0MPa compressor, a 35.0MPa gas booster, a gas flowrate device and a sealing pressure test device. “Sensor+PLC+Computer+ Configuration Software” as data acquisition and control model is adopted in the test system. The results prove that the configuration software can combine with PLC (Programmable Logic Controller) to perform many functions such as automatic monitor, respective automatic or manual control, displaying, recording and saving the test data and curves. The monitor and control system is running with perfect stability and reliability.
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Forsberg, H. "Clinically Acceptable Tolerance of Roentgen Generator Exposure Parameters." Acta Radiologica 28, no. 1 (January 1987): 121–27. http://dx.doi.org/10.1177/028418518702800124.
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The clinical demands for accuracy of roentgen generator scales were investigated in order to define suitable levels of tolerance to be required during calibration procedures and preventive maintenance on modern equipment. Radiographs of various film densities were made of four body parts. As test observers 59 radiologists and 53 radiologic technicians were asked to judge which radiographs they considered acceptable or not acceptable. Ninety-five per cent of the radiographs were accepted with the ***under- or overexposure of one mAs step. The spread of the estimations of suitable exposure data made by 38 radiologic technicians was also investigated. From these data the clinically acceptable tolerance of roentgen generator exposure parameters could be derived. It is suggested that the tolerance of tube voltage (kV) should be less than ±5 per cent, current-time product (mAs) −20 to +25 per cent and automatic exposure control systems (AEC) −20 to +25 per cent.
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Xie, Feng, Bibhas Chakraborty, Marcus Eng Hock Ong, Benjamin Alan Goldstein, and Nan Liu. "AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records." JMIR Medical Informatics 8, no. 10 (October 21, 2020): e21798. http://dx.doi.org/10.2196/21798.
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Background Risk scores can be useful in clinical risk stratification and accurate allocations of medical resources, helping health providers improve patient care. Point-based scores are more understandable and explainable than other complex models and are now widely used in clinical decision making. However, the development of the risk scoring model is nontrivial and has not yet been systematically presented, with few studies investigating methods of clinical score generation using electronic health records. Objective This study aims to propose AutoScore, a machine learning–based automatic clinical score generator consisting of 6 modules for developing interpretable point-based scores. Future users can employ the AutoScore framework to create clinical scores effortlessly in various clinical applications. Methods We proposed the AutoScore framework comprising 6 modules that included variable ranking, variable transformation, score derivation, model selection, score fine-tuning, and model evaluation. To demonstrate the performance of AutoScore, we used data from the Beth Israel Deaconess Medical Center to build a scoring model for mortality prediction and then compared the data with other baseline models using the receiver operating characteristic analysis. A software package in R 3.5.3 (R Foundation) was also developed to demonstrate the implementation of AutoScore. Results Implemented on the data set with 44,918 individual admission episodes of intensive care, the AutoScore-created scoring models performed comparably well as other standard methods (ie, logistic regression, stepwise regression, least absolute shrinkage and selection operator, and random forest) in terms of predictive accuracy and model calibration but required fewer predictors and presented high interpretability and accessibility. The nine-variable, AutoScore-created, point-based scoring model achieved an area under the curve (AUC) of 0.780 (95% CI 0.764-0.798), whereas the model of logistic regression with 24 variables had an AUC of 0.778 (95% CI 0.760-0.795). Moreover, the AutoScore framework also drives the clinical research continuum and automation with its integration of all necessary modules. Conclusions We developed an easy-to-use, machine learning–based automatic clinical score generator, AutoScore; systematically presented its structure; and demonstrated its superiority (predictive performance and interpretability) over other conventional methods using a benchmark database. AutoScore will emerge as a potential scoring tool in various medical applications.
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Shi, Wei Feng, Wei Zhang, Zuo Han Zhou, and Yan Bao. "Implementation of Experimental Platform of Shipboard Power System." Advanced Materials Research 1008-1009 (August 2014): 540–44. http://dx.doi.org/10.4028/www.scientific.net/amr.1008-1009.540.
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This paper presents an integrated experimental platform of Shipboard Power System (SPS) control system. It was established with equipment of three 100KW diesel generator sets, electric power network, 270KW loads of resistance and inductance, 24KW AC motor drive control system and shipboard automatic power station. The power system and generator sets of experimental platform run under controllers of M340 PLC and PPU. The hardware environment of two layers network is formed for experiments and control programs developing. Field bus and Ethernet technologies are applied for the experimental platform. Combining with some relevant developing software of platform, programs of real time control and electric energy management can be developed and realized for generator sets and electric power network and shipboard power station. Data of SPS experiments can be sampled and recorded in Ethernet computer through sensors, PPU, PLC and Field bus facilities. Also, the functions of SPS characteristic analysis and faults alarming can be implemented by Ethernet computers. This physical experimental platform satisfies the requirements of analysis and research for SPS automatic control.
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Liu, Shuang, Nannan Tan, Yaqian Ge, and Niko Lukač. "Research on Automatic Question Answering of Generative Knowledge Graph Based on Pointer Network." Information 12, no. 3 (March 21, 2021): 136. http://dx.doi.org/10.3390/info12030136.
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Question-answering systems based on knowledge graphs are extremely challenging tasks in the field of natural language processing. Most of the existing Chinese Knowledge Base Question Answering(KBQA) can only return the knowledge stored in the knowledge base by extractive methods. Nevertheless, this processing does not conform to the reading habits and cannot solve the Out-of-vocabulary(OOV) problem. In this paper, a new generative question answering method based on knowledge graph is proposed, including three parts of knowledge vocabulary construction, data pre-processing, and answer generation. In the word list construction, BiLSTM-CRF is used to identify the entity in the source text, finding the triples contained in the entity, counting the word frequency, and constructing it. In the part of data pre-processing, a pre-trained language model BERT combining word frequency semantic features is adopted to obtain word vectors. In the answer generation part, one combination of a vocabulary constructed by the knowledge graph and a pointer generator network(PGN) is proposed to point to the corresponding entity for generating answer. The experimental results show that the proposed method can achieve superior performance on WebQA datasets than other methods.
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Fu, Tianfan, Cao Xiao, and Jimeng Sun. "CORE: Automatic Molecule Optimization Using Copy & Refine Strategy." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 638–45. http://dx.doi.org/10.1609/aaai.v34i01.5404.
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Molecule optimization is about generating molecule Y with more desirable properties based on an input molecule X. The state-of-the-art approaches partition the molecules into a large set of substructures S and grow the new molecule structure by iteratively predicting which substructure from S to add. However, since the set of available substructures S is large, such an iterative prediction task is often inaccurate especially for substructures that are infrequent in the training data. To address this challenge, we propose a new generating strategy called “Copy&Refine” (CORE), where at each step the generator first decides whether to copy an existing substructure from input X or to generate a new substructure, then the most promising substructure will be added to the new molecule. Combining together with scaffolding tree generation and adversarial training, CORE can significantly improve several latest molecule optimization methods in various measures including drug likeness (QED), dopamine receptor (DRD2) and penalized LogP. We tested CORE and baselines using the ZINC database and CORE obtained up to 11% and 21% relatively improvement over the baselines on success rate on the complete test set and the subset with infrequent substructures, respectively.
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Marin-Garcia, Juan A., Angel Ruiz, Maheut Julien, and Jose P. Garcia-Sabater. "A data generator for covid-19 patients’ care requirements inside hospitals." WPOM-Working Papers on Operations Management 12, no. 1 (May 28, 2021): 76. http://dx.doi.org/10.4995/wpom.15332.
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<p class="Abstract">This paper presents the generation of a plausible data set related to the needs of COVID-19 patients with severe or critical symptoms. Possible illness’ stages were proposed within the context of medical knowledge as of January 2021. The parameters chosen in this data set were customized to fit the population data of the Valencia region (Spain) with approximately 2.5 million inhabitants. They were based on the evolution of the pandemic between September 2020 and March 2021, a period that included two complete waves of the pandemic.</p><p class="Abstract">Contrary to expectation and despite the European and national transparency laws (BOE-A2013-12887, 2013; European Parliament and Council of the European Union, 2019), the actual COVID-19 pandemic-related data, at least in Spain, took considerable time to be updated and made available (usually a week or more). Moreover, some relevant data necessary to develop and validate hospital bed management models were not publicly accessible. This was either because these data were not collected, because public agencies failed to make them public (despite having them indexed in their databases), the data were processed within indicators and not shown as raw data, or they simply published the data in a format that was difficult to process (e.g., PDF image documents versus CSV tables). Despite the potential of hospital information systems, there were still data that were not adequately captured within these systems.</p><p class="Abstract">Moreover, the data collected in a hospital depends on the strategies and practices specific to that hospital or health system. This limits the generalization of "real" data, and it encourages working with "realistic" or plausible data that are clean of interactions with local variables or decisions (Gunal, 2012; Marin-Garcia et al., 2020). Besides, one can parameterize the model and define the data structure that would be necessary to run the model without delaying till the real data become available. Conversely, plausible data sets can be generated from publicly available information and, later, when real data become available, the accuracy of the model can be evaluated (Garcia-Sabater and Maheut, 2021).</p><p class="Abstract">This work opens lines of future research, both theoretical and practical. From a theoretical point of view, it would be interesting to develop machine learning tools that, by analyzing specific data samples in real hospitals, can identify the parameters necessary for the automatic prototyping of generators adapted to each hospital. Regarding the lines of research applied, it is evident that the formalism proposed for the generation of sound patients is not limited to patients affected by SARS-CoV-2 infection. The generation of heterogeneous patients can represent the needs of a specific population and serve as a basis for studying complex health service delivery systems.</p><p class="Abstract"> </p><p class="Abstract"> </p>
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Topisirovic, Dragan. "Advances in VLSI testing at MultiGb per second rates." Serbian Journal of Electrical Engineering 2, no. 1 (2005): 43–55. http://dx.doi.org/10.2298/sjee0501043t.
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Today's high performance manufacturing of digital systems requires VLSI testing at speeds of multigigabits per second (multiGbps). Testing at Gbps needs high transfer rates among channels and functional units, and requires readdressing of data format and communication within a serial mode. This implies that a physical phenomena-jitter, is becoming very essential to tester operation. This establishes functional and design shift, which in turn dictates a corresponding shift in test and DFT (Design for Testability) methods. We, here, review various approaches and discuss the tradeoffs in testing actual devices. For industry, volume-production stage and testing of multigigahertz have economic challenges. A particular solution based on the conventional ATE (Automated Test Equipment) resources, that will be discussed, allows for accurate testing of ICs with many channels and this systems can test ICs at 2.5 Gbps over 144 cannels, with extensions planned that will have test rates exceeding 5 Gbps. Yield improvement requires understanding failures and identifying potential sources of yield loss. This text focuses on diagnosing of random logic circuits and classifying faults. An interesting scan-based diagnosis flow, which leverages the ATPG (Automatic Test Pattern Generator) patterns originally generated for fault coverage, will be described. This flow shows an adequate link between the design automation tools and the testers, and a correlation between the ATPG patterns and the tester failure reports.
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Kuang, Yishan, Zhi Li, Xi Zhang, Tao Song, Jun Li, Jun Xu, Lihuan Mo, and Kefu Chen. "Effect of turbulence generator structures to the performance of medium-consistency pump at high rotation speed excesses 2000 rpm." Nordic Pulp & Paper Research Journal 35, no. 1 (March 26, 2020): 50–60. http://dx.doi.org/10.1515/npprj-2019-0039.
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AbstractThe medium-consistency (MC) pump is the key unit in modern pulp and paper industry, especially in medium-consistency bleaching plant. Use of MC pump improves the efficiency of bleaching sequences and reduces the pollution load of bleaching effluents. In this work, the component of MC pump, e. g. turbulence generators with three typical structures were studied to evaluate the effects of turbulence generator structure on the performance of MC pump. An automatic control system was built to control operation condition and to collect data online. Head and efficiency were calculated to evaluate the differences among three turbulence generators. The results showed that the linear-type, twist-type and screw-type turbulence generators exhibited similar performance (pump head and efficiency) of MC pump at high rotation speed (2000 rpm to 2900 rpm) compared to the well-known performance of MC pump at rotation speed lower than 2000 rpm which are significant different for the three turbulence generators.
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Wang, Yingxu, Yanan Zhang, Philip C. Y. Sheu, Xuhui Li, and Hong Guo. "The Formal Design Model of an Automatic Teller Machine (ATM)." International Journal of Software Science and Computational Intelligence 2, no. 1 (January 2010): 102–31. http://dx.doi.org/10.4018/jssci.2010101907.
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An Automated Teller Machine (ATM) is a safety-critical and real-time system that is highly complicated in design and implementation. This article presents the formal design, specification, and modeling of the ATM system using a denotational mathematics known as Real-Time Process Algebra (RTPA). The conceptual model of the ATM system is introduced as the initial requirements for the system. The architectural model of the ATM system is created using RTPA architectural modeling methodologies and refined by a set of Unified Data Models (UDMs), which share a generic mathematical model of tuples. The static behaviors of the ATM system are specified and refined by a set of Unified Process Models (UPMs) for the ATM transition processing and system supporting processes. The dynamic behaviors of the ATM system are specified and refined by process priority allocation, process deployment, and process dispatch models. Based on the formal design models of the ATM system, code can be automatically generated using the RTPA Code Generator (RTPA-CG), or be seamlessly transformed into programs by programmers. The formal models of ATM may not only serve as a formal design paradigm of real-time software systems, but also a test bench for the expressive power and modeling capability of exiting formal methods in software engineering.
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Yusoff, Siti Hajar, Sazali Mahat, Nur Shahida Midi, Sarah Yasmin Mohamad, and Syasya Azra Zaini. "Classification of different types of metal from recyclable household waste for automatic waste separation system." Bulletin of Electrical Engineering and Informatics 8, no. 2 (June 1, 2019): 488–98. http://dx.doi.org/10.11591/eei.v8i2.1488.
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Nowadays, solid waste has become a major problem in Malaysia. However, most people in Malaysia are not aware and take this problem for granted. The rising number of population and massive development in recent years indirectly generated an enormous value of household waste, making the household waste the main generator for solid waste in Malaysia. It stated that only 5 percent of an average 30,000 tons of waste have been recycled in Malaysia. The purpose of the paper is to design a system to separate the metal recyclable household waste automatically and record the data waste collected. There are total of four detectors used to separate the non-metal, steel, copper and aluminum metal waste. The average time used to complete metal separation process by using the proposed prototype is 14.5 seconds. This paper includes a mechanical part, programming part, an electronic design and also the data collected from this proposed system. The system will be programmed using Arduino Mega as a microcontroller to control all the electronic component in the system.
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Zhou, Yangyang, and Fuji Ren. "CERG: Chinese Emotional Response Generator with Retrieval Method." Research 2020 (September 7, 2020): 1–8. http://dx.doi.org/10.34133/2020/2616410.
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The dialogue system has always been one of the important topics in the domain of artificial intelligence. So far, most of the mature dialogue systems are task-oriented based, while non-task-oriented dialogue systems still have a lot of room for improvement. We propose a data-driven non-task-oriented dialogue generator “CERG” based on neural networks. This model has the emotion recognition capability and can generate corresponding responses. The data set we adopt comes from the NTCIR-14 STC-3 CECG subtask, which contains more than 1.7 million Chinese Weibo post-response pairs and 6 emotion categories. We try to concatenate the post and the response with the emotion, then mask the response part of the input text character by character to emulate the encoder-decoder framework. We use the improved transformer blocks as the core to build the model and add regularization methods to alleviate the problems of overcorrection and exposure bias. We introduce the retrieval method to the inference process to improve the semantic relevance of generated responses. The results of the manual evaluation show that our proposed model can make different responses to different emotions to improve the human-computer interaction experience. This model can be applied to lots of domains, such as automatic reply robots of social application.
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Lee, Yongsik, Hyunchul Lee, Jaehyeon Gim, Inyong Seo, and Guenjoon Lee. "Technical Measures to Mitigate Load Fluctuation for Large-Scale Customers to Improve Power System Energy Efficiency." Energies 13, no. 18 (September 14, 2020): 4812. http://dx.doi.org/10.3390/en13184812.
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Industrial equipment such as electric arc furnaces and steel mills are often associated with rapid and high load disturbances, so their power systems require additional control equipment to limit the frequency. However, proper ancillary service fees are not paid in these cases with extreme and variable load demands. The frequency regulation reserve equipment adds to power generation costs. Therefore, variable power generation loads lead to increases in the cost of energy production. We propose a load frequency control method that is applied on the customer end instead of the power supply end to reduce the operating reserve required to improve the energy efficiency of the power system. We analyzed the load fluctuation of steel mill customers using real data sampled at two-second intervals from the energy management system in Korea. We developed an automatic generation control program to simulate the power system’s frequency characteristics. We also propose compensation techniques for mitigation of the system’s frequency deviation at the customer end based on an energy storage system, pump storage hydro generator, customer generator, and plant process adjustment. To recover the frequency deviation, we calculated the compensation facility capacity and analyzed static characteristics, and we proved the feasibility via simulations.
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Zhou, Xue, Xin Zhu, Keijiro Nakamura, and Mahito Noro. "Electrocardiogram Quality Assessment with a Generalized Deep Learning Model Assisted by Conditional Generative Adversarial Networks." Life 11, no. 10 (September 26, 2021): 1013. http://dx.doi.org/10.3390/life11101013.
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The electrocardiogram (ECG) is widely used for cardiovascular disease diagnosis and daily health monitoring. Before ECG analysis, ECG quality screening is an essential but time-consuming and experience-dependent work for technicians. An automatic ECG quality assessment method can reduce unnecessary time loss to help cardiologists perform diagnosis. This study aims to develop an automatic quality assessment system to search qualified ECGs for interpretation. The proposed system consists of data augmentation and quality assessment parts. For data augmentation, we train a conditional generative adversarial networks model to get an ECG segment generator, and thus to increase the number of training data. Then, we pre-train a deep quality assessment model based on a training dataset composed of real and generated ECG. Finally, we fine-tune the proposed model using real ECG and validate it on two different datasets composed of real ECG. The proposed system has a generalized performance on the two validation datasets. The model’s accuracy is 97.1% and 96.4%, respectively for the two datasets. The proposed method outperforms a shallow neural network model, and also a deep neural network models without being pre-trained by generated ECG. The proposed system demonstrates improved performance in the ECG quality assessment, and it has the potential to be an initial ECG quality screening tool in clinical practice.
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Jeon, Hyeonmin, and Jongsu Kim. "Application of Reference Voltage Control Method of the Generator Using a Neural Network in Variable Speed Synchronous Generation System of DC Distribution for Ships." Journal of Marine Science and Engineering 8, no. 10 (October 15, 2020): 802. http://dx.doi.org/10.3390/jmse8100802.
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In the case of DC power distribution-based variable speed engine synchronous generators, if the output reference voltage is kept constant regardless of the generator engine operating speed, it may cause damage to the internal device and windings of the generator due to over-flux or over-excitation. The purpose of this study is to adjust the generator reference voltage according to the engine speed change in the DC distribution system with the variable speed engine synchronous generator. A method of controlling the generator reference voltage according to the speed was applied by adjusting the value of the variable resistance input to the external terminal of the automatic voltage regulator using a neural network controller. The learning data of the neural network was measured through an experiment, and the input pattern was set as the rotational speed of the generator engine, and the output pattern was set as the input current of the potentiometer. Using the measured input/output pattern of the neural network, the error backpropagation learning algorithm was applied to derive the optimum connection weight to be applied to the controller. For the test, the variable speed operation range of the generator engine was set to 1100–1800 rpm, and the input current value of the potentiometer according to the speed increase or decrease within the operation range and the output of the voltage output from the actual generator were checked. As a result of neural network control, it was possible to confirm the result that the input current value of the potentiometer accurately reached the target value 4–20 mA at the point where the initial speed change occurred. It was confirmed that the reference voltage was also normally output in the target range of 250–440 V.
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Purwadi, Purwadi, and Tri Handoko Seto. "DESAIN KONSEPTUAL GROUND-BASED GENERATOR (GBG) OTOMATIS DAN KONSEP OPERASIONAL BERBASIS WIRELESS SENSOR NETWORK (WSN)." Jurnal Sains & Teknologi Modifikasi Cuaca 15, no. 1 (June 27, 2014): 9. http://dx.doi.org/10.29122/jstmc.v15i1.2651.
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IntisariDilatarbelakangi oleh beberapa permasalahan operasional Teknologi Modifikasi Cuaca (TMC) dengan wahana pesawat terbang dan juga permintaan TMC yang semakin meningkat, maka dilakukan pengembangan teknologi Ground-Based Generator berupa desain konseptual Ground-Based Generator (GBG) otomatis dan konsep operasional berbasis wireless sensor network (WSN). Dari kajian teori, teknologi GBG efektif diterapkan dilereng pegunungan, sehingga konsep pengembangan teknologi ini dimaksudkan untuk operasional TMC waduk PLTA di Indonesia yang sebagian besar dikelilingi oleh daerah aliran sungai (DAS) berupa pegunungan. Di dalam tulisan ini dijelaskan 4 topografi waduk PLTA yang telah lama menggunakan jasa TMC yaitu DAS Riamkanan, DAS Larona, DAS Koto Panjang, dan DAS Singkarak. Data topografi yang menunjukkan kelayakan suatu DAS dapat diterapkan GBG diperoleh dari Digital Elevation Model (DEM) dan ditampilkan dengan software Global Maper. Selanjutnya, rancangan GBG otomatis di ilustrasikan dalam sketsa gambar. GBG otomatis memiliki fitur; autoloading flare, rak penyimpanan flare, solar panel, dan dikontrol dengan mikroprosesor. Dengan menerapkan konsep WSN, pengoperasian GBG dapat dilakukan secara terpusat untuk beberapa DAS sekaligus, sehingga kegiatan TMC mejadi lebih efektif dan efisien. AbstractMotivated by some operational problems of Weather Modification Technology (TMC) with airplane medium and also increasing the demand of TMC, then the development of Ground-Based Generator technology in the form of conceptual design of automatic Ground-Based Generator (GBG) and operational concepts based wireless sensor network (WSN) is done. From the study of theory, GBG effectively applied on mountain slope, so the concept of development of this technology is intended for TMC operation in hydroelectric (PLTA) dam in Indonesia that were mostly surrounded by watersheds (DAS) in the form of mountains. This paper describe four hydroelectric dams topography which has long used the TMC service (Riam Kanan DAS, DAS Larona, DAS Koto Panjang, and DAS Singkarak). The topographic data that indicate the feasibility of applied GBG in a watershed is obtained from the Digital Elevation Model (DEM) and displayed with Global Mapper software. Furthermore, the design of automatic GBG is illustrated in sketch drawings. The designed GBG has automatic features; autoloading flares, flare storage racks, solar panels, and controlled by a microprocessor. By applying the concept of WSN, GBG operation can be performed centrally for multiple DAS at once, so that the activities of TMC becoming more effective and efficient.
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Ruggiero, Frank H., John Michalakes, Thomas Nehrkorn, George D. Modica, and Xiaolei Zou. "Development and Tests of a New Distributed-Memory MM5 Adjoint." Journal of Atmospheric and Oceanic Technology 23, no. 3 (March 1, 2006): 424–36. http://dx.doi.org/10.1175/jtech1862.1.
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Abstract Updated versions of the Tangent Linear Model (TLM) and adjoint of the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) have been developed and are now available to the meteorological community. The previous version of the MM5 TLM and adjoint were designed for single-processor computer architectures, based on version 1 of MM5, and were hand coded, which made it difficult to maintain up-to-date versions of the TLM and the adjoint as MM5 evolved. The new TLM and adjoint are based on version 3 of MM5 and run efficiently on multiple-processor computers. The TLM and adjoint were developed with the aid of the Tangent Linear and Adjoint Model Compiler (TAMC) automatic code generator. While some manual intervention is still necessary, the use of the automatic code generator can significantly speed code development and lower code maintenance costs. The new TLM and adjoint contain most of the physics packages and observation operators that were available in the MM5 version 1 TLM and adjoint. The new adjoint has been combined with the MM5 version 3 nonlinear model and an updated minimization module in a four-dimensional variational data assimilation analysis configuration. Accuracy of the new TLM and adjoint has been verified by individual unit and system tests as well as comparisons with the adjoint from MM5 version 1. Timing tests showed substantial decreases in time to solution when increasing the number of processors devoted to the problem.
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Wu, Bingzhe, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, and Guangyu Sun. "G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1214–21. http://dx.doi.org/10.1609/aaai.v33i01.33011214.
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Pathological glomerulus classification plays a key role in the diagnosis of nephropathy. As the difference between different subcategories is subtle, doctors often refer to slides from different staining methods to make decisions. However, creating correspondence across various stains is labor-intensive, bringing major difficulties in collecting data and training a vision-based algorithm to assist nephropathy diagnosis.This paper provides an alternative solution for integrating multi-stained visual cues for glomerulus classification. Our approach, named generator-to-classifier (G2C), is a twostage framework. Given an input image from a specified stain, several generators are first applied to estimate its appearances in other staining methods, and a classifier follows to combine visual cues from different stains for prediction (whether it is pathological, or which type of pathology it has). We optimize these two stages in a joint manner. To provide a reasonable initialization, we pre-train the generators in an unlabeled reference set under an unpaired image-to-image translation task, and then fine-tune them together with the classifier.We conduct experiments on a glomerulus type classification dataset collected by ourselves (there are no publicly available datasets for this purpose). Although joint optimization slightly harms the authenticity of the generated patches, it boosts classification performance, suggesting more effective visual cues are extracted in an automatic way. We also transfer our model to a public dataset for breast cancer classification, and outperform the state-of-the-arts significantly.
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Salsón, S., and R. Garcia-Bartual. "A space-time rainfall generator for highly convective Mediterranean rainstorms." Natural Hazards and Earth System Sciences 3, no. 1/2 (April 30, 2003): 103–14. http://dx.doi.org/10.5194/nhess-3-103-2003.
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Abstract. Distributed hydrological models require fine resolution rainfall inputs, enhancing the practical interest of space-time rainfall models, capable of generating through numerical simulation realistic space-time rainfall intensity fields. Among different mathematical approaches, those based on point processes and built upon a convenient analytical description of the raincell as the fundamental unit, have shown to be particularly suitable and well adapted when extreme rainfall events of convective nature are considered. Starting from previous formulations, some analytical refinements have been considered, allowing practical generation of space-time rainfall intensity fields for that type of rainstorm events. Special attention is placed on the analytical description of the spatial and temporal evolution of the rainfall intensities produced by the raincells. After deriving the necessary analytical results, the seven parameters of the model have been estimated by the method of moments, for each of the 30 selected rainfall events in the Jucar River Basin (ValenciaSpain) – period 1991 to 2000, using 5-min aggregated rainfall data series from an automatic raingauge network.
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Marchenko, Oleg. "Energy and economic analysis of thermoelectric generator on wood fuel." E3S Web of Conferences 209 (2020): 03017. http://dx.doi.org/10.1051/e3sconf/202020903017.
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The advantages of thermoelectric generator (TEG) are the absence of moving parts, reliability, long service life, the possibility of fully automatic operation without maintenance. At the same time, TEGs also have disadvantages - low efficiency and high cost. In this regard, it is advisable to use them in autonomous installations of small power, as well as in devices intended mainly for heat supply, when the low efficiency of thermal energy conversion into electrical energy does not play a role. It is the latter case that is realized in furnaces that burn biomass. In this paper, we consider the main physical effects due to which the direct conversion of thermal energy into electrical energy occurs in semiconductor thermoelements. The conjugate problem of heat and electric charge transfer with temperature-dependent properties of a semiconductor is reduced to a problem with constant properties. Based on the literature data, the boundary conditions for the TEG were selected, its sizes were optimized, current-voltage characteristics were constructed, and the maximum power and efficiency were determined. Estimates of the cost and economic efficiency of using TEG are made.
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Lin, Sheam Chyun, Fu Sheng Chuang, and Harki Apri Yanto. "Establishment of a Removable Experiment Platform for VAWT." Applied Mechanics and Materials 284-287 (January 2013): 1046–50. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1046.
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This investigation intends to establish an experimental test platform for a small vertical-axis wind turbine (VAWT), which is installed on the rooftop of a building. The experiment platform designed here is flexible and suitable for executing the systematic performance evaluation on different types of VAWT. By utilizing the data acquisition system (DAQ), all environmental information and power data from sensors and generator on the platform are recorded and transferred to the computer automatically. Later, these analogy signals are transformed to digital format for transmitting into computer. Also, with the aids of a visual software programming within the framework of Labview, the real-time monitoring on the input/output parameters of generator and wind condition on the rooftop can be accomplished simultaneously. Afterwards, the data processing and in-depth analysis on the experimental outcomes are carried out via the established computer program. Consequently, the on-site performance of the wind turbine generator system is attained in an automatic and systematic manner. Moreover, to ensure for providing sufficient data and its accuracy, statistic concept is enforced to judge whether the test data are qualified or not in the data-processing procedure. In summary, together with the data-acquisition software programmed under the framework of Labview, this experimental system can provide the capability for monitoring, recording, and filtering these test data in an rigor manner, and is appropriate for executing the R&D and performance evaluation on different VAWTs.
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Perdomo-Gómez, Gustavo Adolfo, Karina Corredor-Galvis, Santiago Duarte-Rivera, Kelyn Rosely Botina-Trujillo, and Diego Andres Mendez-Pastrana. "Automatic Dissolved Oxygen Control to Oreochromis Fish’s Crop into Geomembrane Tank." Scientia et Technica 25, no. 1 (March 30, 2020): 97–103. http://dx.doi.org/10.22517/23447214.23651.
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Huila is a Colombian state with a high production of Oreochromis fish, its contribution to national production is of 53%, that is distributed in 338 hectares of ponds on land and floating cages. The environmental and climatic characteristics of the region allow having dissolved oxygen production in the ponds between 4ppm and 12ppm during the day, but at night the situation is unfavorable, since the amount of dissolved oxygen can decrease up to 1ppm while carbon dioxide increases. Therefore, it is necessary to have adequate oxygenation equipment and systems to prevent delayed in fish growth and to decrease death rates. This article presents the design and implementation of an automatic dissolved oxygen control system by manipulation of a water recirculation flow that operates in parallel with an industrial oxygen generator. The implemented system tracks and records the temperature and oxygen variables present in the geomembrane tank to evaluate the process evolution for different periods of the fish development cycle. The data was acquired using an Atlas Scientific dissolved oxygen sensor kit and a DS18B20 temperature probe they send the data directly to a Raspberry Pi that transmits by wireless the information collected from the process to the SISCEFA web server and a mobile application through which users can observe the data traceability. The dissolved oxygen concentration was maintained within the threshold established and the fish rate death decrease.
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Song, Jian. "Navigation System of Mobile Platform Based on Open Architecture for Agricultural Machinery." Advanced Materials Research 383-390 (November 2011): 1155–59. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.1155.
Full textAbstract:
In order to meet the requirements of agricultural production automation, a PC-based opening navigation system for agricultural machinery is designed, which is composed of PC, data acquisition cards, electromagnetic induction sensors, high-frequency electromagnetic generator, DC servo motor and mechanical part. The track of the mobile platform is led by a wire with high-frequency currents laid under the field. The position can be determined by a pair of electromagnetic induction sensors installed in the machine. The traveling path is planed by computer according to information of electromagnetic induction sensor and automatic walking of agricultural machinery is achieved. Based on Visual C + + 6.0 platform, a system software is developed and human-computer interface with good interaction is designed. The results show that, straight navigation accuracy is ± 1.5cm within 10m; the navigation accuracy is ± 3cm when the turning radius is 0.5m. Experiments explain that the system owns high real-time performance and dependability, and that it has a good application prospect.
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Agarwal, Sumesh, Shubham Gupta, and Nitish Sabharwal. "Automatic Test Data Generation-Achieving Optimality Using Ant-Behaviour." International Journal of Information and Education Technology 6, no. 2 (2016): 117–21. http://dx.doi.org/10.7763/ijiet.2016.v6.669.
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