scholarly journals Structural and Informational Model of Increasing the Biotransformation Intensity of the Liquid Fraction of Pork Liquid Manure

2021 ◽  
pp. 28-32
Author(s):  
S.N. Borychev ◽  
◽  
I.A. Uspensky ◽  
I.A. Yukhin ◽  
N.V. Limarenko ◽  
...  
Keyword(s):  
Intelligent Control ◽  
Structural Information ◽  
Liquid Fraction ◽  
Information Model ◽  
Software Systems ◽  
Liquid Manure ◽  
Basic Tool ◽  
Informational Model ◽  
Bioorganic Fertilizer ◽  
Potential Efficiency

A method for intensifying environmentally friendly biotransformation of a liquid fraction of pork liquid manure into a bioorganic fertilizer based on a structural information model, which is the initial data for the development of digital solutions, is described. The theory of potential efficiency is used as the basic tool of the structural and information model. An information model of a digitalized control system is proposed as a basis for the development of software systems and intelligent control solutions.

scholarly journals AUTODESK REVIT - AS AN EFFECTIVE TOOL FOR CREATING A REAL ESTATE INFORMATION MODEL

2020 ◽  
Vol 7 (2) ◽  
pp. 127-133
Author(s):  
Alexandra R. Bayoris ◽  
Maxim A. Malinovsky
Keyword(s):  
Real Estate ◽  
Information Model ◽  
Software Systems

The article focuses on BIM-models and available projects in Autodesk Revit software systems.

scholarly journals Detecting development scenarios of dynamic events in electric power network smart-grids. Part two “Selective Protection”

2021 ◽  
Vol 4 (4) ◽  
pp. 311-328
Author(s):  
Vitaliy F. Sivokobylenko ◽  
Andrey P. Nikiforov ◽  
Ivan V. Zhuravlov
Keyword(s):  
Decision Making ◽  
Electric Power ◽  
Smart Grids ◽  
Structural Information ◽  
Electric Power Industry ◽  
Distribution Networks ◽  
Information Model ◽  
Theoretical Description ◽  
Level Control ◽  
Hierarchical Levels

When implementing development concepts in the electric power industry (such as “Smart Grid”, “Digital substation” and “Outsourcing of services”), the task of ensuring stable relay protection operations and automation devices is urgent. The problem is solved according to the developed structural-information (SI) method. A method for selective search of the optimal amount of structured information for automatic decision-making is proposed. The article discusses an algorithm for recognising scenarios for the development of semantic events, which is included in the SP-method. The algorithm is applied uniformly for all hierarchical levels of recognition, based on the goals of decision making at the senior level. Control of the sequence of information events is performed in the dynamics of the passage of events along one path from all relationships according to the structural-information model. Part 1 shows a collaborative structural-information model consisting of a shaping tree in a dynamic object and a recognition tree in devices. A theoretical description of the algorithm is given using the amplitude and time (Ξ,Η) selectivity windows in the general structural scheme of S-detection. The application of the method for different hierarchical levels of recognition is shown. The decision-making results are presented in two forms, by means of a single semantic signal to indicate a group of results and filling in the table of the sequence of occurrence of the recognised elementary information components. Part 2 shows the application of the SPmethod at different hierarchical levels of recognition for the synthesis of a selective relay, which implements an algorithm for finding a damaged network section with single-phase ground faults in 6-35 kV distribution networks with a Petersen’s coil. The reasons for the unstable operation of algorithms of known selective relays are indicated, based on the concepts of scenario recognition. The improvement of the structure of a selective relay operating on the basis of the criterion for monitoring the coincidence of the first half-waves of the mid-frequency components in the signals of transient processes is considered. Examples of the synthesis of elementary detectors of absolute, relative and cumulative actions in relation to a selective relay are given, which make it possible to fill the amount of information for general S-detection. The simulation of the operation of the synthesised S-detector on the signals of real emergency files of the natural development of damage to the isolation of the network phase and simulation of artificial scenarios of events in the mathematical SI-model are carried out.

scholarly journals Information modeling and knowledge extraction for machine learning applications in industrial production systems

2020 ◽  
pp. 73-81
Author(s):  
Stefan Windmann ◽  
Christian Kühnert
Keyword(s):  
Machine Learning ◽  
Domain Knowledge ◽  
Structural Information ◽  
Semantic Annotation ◽  
Information Model ◽  
Knowledge Extraction ◽  
Information Modeling ◽  
Sensor Data ◽  
Tool Chain ◽  
Machine Learning Applications

AbstractIn this paper, a new information model for machine learning applications is introduced, which allows for a consistent acquisition and semantic annotation of process data, structural information and domain knowledge from industrial productions systems. The proposed information model is based on Industry 4.0 components and IEC 61360 component descriptions. To model sensor data, components of the OGC SensorThings model such as data streams and observations have been incorporated in this approach. Machine learning models can be integrated into the information model in terms of existing model serving frameworks like PMML or Tensorflowgraph. Based on the proposed information model, a tool chain for automatic knowledge extraction is introduced and the automatic classification of unstructured text is investigated as a particular application case for the proposed tool chain.

scholarly journals Combining Machine Learning and Logical Reasoning to Improve Requirements Traceability Recovery

2020 ◽  
Vol 10 (20) ◽  
pp. 7253
Author(s):  
Tong Li ◽  
Shiheng Wang ◽  
David Lillis ◽  
Zhen Yang
Keyword(s):  
Machine Learning ◽  
Time Pressure ◽  
Structural Information ◽  
Source Code ◽  
Logical Reasoning ◽  
Use Cases ◽  
Software Systems ◽  
Management And Development ◽  
The One ◽  
Recovery Approach

Maintaining traceability links of software systems is a crucial task for software management and development. Unfortunately, dealing with traceability links are typically taken as afterthought due to time pressure. Some studies attempt to use information retrieval-based methods to automate this task, but they only concentrate on calculating the textual similarity between various software artifacts and do not take into account the properties of such artifacts. In this paper, we propose a novel traceability link recovery approach, which comprehensively measures the similarity between use cases and source code by exploring their particular properties. To this end, we leverage and combine machine learning and logical reasoning techniques. On the one hand, our method extracts features by considering the semantics of the use cases and source code, and uses a classification algorithm to train the classifier. On the other hand, we utilize the relationships between artifacts and define a series of rules to recover traceability links. In particular, we not only leverage source code’s structural information, but also take into account the interrelationships between use cases. We have conducted a series of experiments on multiple datasets to evaluate our approach against existing approaches, the results of which show that our approach is substantially better than other methods.

scholarly journals Establishment of a Protection and Information Model by an Attorney on the Initial Stage of Defense in Criminal Cases

2021 ◽  
Vol 1 ◽  
pp. 19-23
Author(s):  
Sergey Yu. Vandrakov ◽  
Keyword(s):  
Information Model ◽  
Criminal Cases ◽  
Amount Of Information ◽  
Initial Stage ◽  
Informational Model ◽  
Criminal Defense ◽  
Entire Amount

In this article, the author considers the defensive and informational model as a tool of criminal defense, which is recommended to be used at the stage of the lawyer's entry into the case, when the lawyer does not have information about the entire amount of information that the investigating authority has, both evidentiary and orienting.

Disassembly Process Information Model for Remanufacturing

2013 ◽  
Vol 13 (3) ◽  
Author(s):  
Shaw C. Feng ◽  
Thomas Kramer ◽  
Ram D. Sriram ◽  
Hanmin Lee ◽  
Che B. Joung ◽  
...  
Keyword(s):  
Service Life ◽  
Information Model ◽  
Systems Development ◽  
Software Systems ◽  
Process Information ◽  
Workpiece Material ◽  
Material Content ◽  
Disassembly Process ◽  
Computer Aided

Disassembly is essential to dismantle a product for remanufacturing during maintenance or at the end of service life. The National Institute of Standards and Technology (NIST) has developed an information model for describing disassembly processes. A disassembly process includes many subprocesses, such as separation, cleaning, repair, replacement, and inspection. This paper describes a disassembly process information model with the following key components: workpiece, material content, equipment, and workflow. The workflow aspect supports the modeling of operations, operation sequences, branching an operation into multiple ones, and joining multiple operations into one. The model provides a foundation for computer-aided disassembly software systems development.

scholarly journals Evaluation of Semi-Continuous Pit Manure Recharge System Performance on Mitigation of Ammonia and Hydrogen Sulfide Emissions from a Swine Finishing Barn

Atmosphere ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 170 ◽  
Author(s):  
Jisoo Wi ◽  
Seunghun Lee ◽  
Eunjong Kim ◽  
Myeongseong Lee ◽  
Jacek Koziel ◽  
...  
Keyword(s):  
Hydrogen Sulfide ◽  
System Performance ◽  
Liquid Fraction ◽  
Aerobic Treatment ◽  
Liquid Manure ◽  
Daily Production ◽  
Greenhouse Gasses ◽  
Swine Farms ◽  
The Republic ◽  
First Time

In this research, for the first time, we present the evaluation of a semi-continuous pit manure recharge system on the mitigation of ammonia (NH3) and hydrogen sulfide (H2S) emissions from a swine finisher barn. The pit recharge system is practiced on many swine farms in the Republic of Korea, primarily for improving air quality in the barn. It consists of an integrated waste management system where the fraction of stored manure is pumped out (10× of the daily production of manure, 3× a day); solids are separated and composted, while the aerobically treated liquid fraction is then returned to the pit. We compared emissions from two 240-pig rooms, one equipped with a pit recharge system, and the other operating a conventional slurry pit under the slatted floor. Mean reduction of NH3 and H2S emissions were 49 ± 6% and 82 ± 7%, respectively, over 14 days of measurements. The removal efficiency of H2S was higher than NH3, likely because the pH of aerobically treated liquid manure remained slightly above 8. More work is warranted to assess the N balance in this system and the emissions of odor and greenhouse gasses (GHGs). It is also expected that it will be possible to control the NH3 and H2S removal rates by controlling the nitrification level of the liquid manure in the aerobic treatment system.

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