Net Software Research Articles

Transients Initial Stage Localization by Neural Net Software and Hardware

Transients Initial Stage Localization by Neural Net Software and Hardware

Aso volcano, Japan: assessing the 100-year probability of a new caldera-forming eruption based on expert judgements with Bayes Net and Importance Sampling uncertainty analysis

The Aso-4 explosive eruption on Kyushu, Japan, 89,500 years ago was one of the biggest eruptions in the last one hundred millennia, with a magnitude of approximately M8. Modern society requires the likelihood of natural events with potentially disastrous consequences to be evaluated, even if probabilities of occurrence are diminishingly small. For some situations, it is not satisfactory to assert an event scenario probability is “negligible” or can be “ignored”. Judicial hearings or litigation may require risk levels to be quantified, in which case, statements of scientific confidence could be decisive. Internationally, e.g., for nuclear site safety evaluations, event likelihoods on order of 10–7/year are often considered for quantitative assessment. At such hazard levels, this might include evaluating the proposition that a particular volcano can deliver a future super-eruption, a supposition that could be attached to Aso volcano. But, simplistically taking the average recurrence interval between past caldera-forming eruptions at a given volcano is an unreliable guide to the likelihood of a future repeat: each past event represented a unique set of tectonic and magmatic conditions within a continually evolving volcanic system. Such processes are not temporally stationary nor statistically uniform. To evaluate the probability of a new M8 event at Aso, within the next 100 years, we performed a comprehensive stochastic probability uncertainty analysis using a model implemented with advanced computational Bayes Net (BN) software. Our eruption process model is informed by multiple strands of evidence from volcanology, petrology, geochemistry and geophysics, together with estimates of epistemic (knowledge) uncertainty, adduced from reviews of published data, modelling and from expert judgement elicitation. Several lines of evidence characterise the likely structure, magmatic composition and eruptive state of the present-day Aso volcano, which has had numerous smaller eruptions since Aso-4. To calculate the probability of another M8 eruption of Aso, we implemented probabilistic ‘Importance Sampling’ in our model. With this approach, we find the chance of an Aso-4 scale eruption (characterised by mean volume 500 km3 DRE and approximate 90% credible interval [210 ‥ 1200] km3 DRE) is less than 1–in–1 billion in the next 100 years (i.e., < 10–9 probability). Based on current volcanological understanding and evidence, we believe this probability estimate is robust to within an order of magnitude.

GO METRO-A REAL TIME METRO MANAGEMENT SYSTEM

This is an incorporated carrier which give all statistics approximately the metro rail and it’s routes for public. The proposed device is an internet primarily based totally GUI software which presents statistics concerning timings, routes and fare. The software additionally has a entire module devoted for transactions in which even clever card may be supplied with out the person's bodily presence. This device consists of area monitoring facility which presents the cutting-edge area the usage of Google API. Recommendation device the usage of an ML set of rules can be carried out which recommends locations to go to nearby. The incorporated net software additionally consists of a function of elevating an emergency alert. Online Smart Card Availability in which a person can take a look at his card stability at his very own consolation while not having to go to metro stations. Keywords—API; GUI; Internet;

Development and Verification of an IoT-enabled Air Quality Monitoring System Based on Petri Nets

An internet of things (IoT) system for monitoring environmental parameters on campus has been successfully developed in this study. Various sensors are adopted in front of the IoT system for detecting air pollutants. The architecture of LongRange in Class C uses low-power and long-distance transmission technologies, which has been set up on the large campus so that the terminal equipment can reach a balance between downlink latency and battery life, making it the best communication protocol. In addition, this monitoring system uses the Petri net software tool to build a correct IoT platform based on the fundamental design process and to demonstrate the feasibility of the IoT system through simulation-based verification. Finally, the experimental results indicate that the IoT system for monitoring the environmental parameters on campus achieves the goal of an acceptable data transmission success rate of more than 95%. Thus, it can facilitate the air quality trends for policy making as well as the hazardous prediction and prevention.

Study Quality of Voltage on Single Track AC Railway Traction Electrification

Voltage fluctuation is one of important parameter for power quality in electrification parameter. The voltage parameter is said to be good if the voltage level does not exceed or less than the standard voltage. In the operation of electric trains, several conditions can cause over and under voltage. Like when a train accelerates or decelerates it will affect the system voltage. This research study about voltage fluctuation on AC railway electrification. The method used in this study is to simulate a model of railway electrification such as traction substations, overhead electrification and rail infrastructure. System modeling is done using open power net software. The results of this simulation show the condition of voltage fluctuations on the bus, overhead wire and pantograph sides

A study of bacteriological profile and antimicrobial susceptibility pattern of bacteria isolated from blood stream infections in a tertiary care hospital

: Blood cultures are procedures that aid in evaluation of microorganisms present in the blood and guide the treatment of various pathogens leading to blood stream infections and the most dreaded complication sepsis: To study the distribution of bacterial flora and antimicrobial susceptibility in blood stream infections (BSI) in adults and pediatric patients including neonates.: This retrospective study was conducted in the department of Microbiology, ESIC Medical College and hospital, Hyderabad over a period of 1 year, from January 2020 to December 2020. During this period, 1681 samples received from various in patient department were processed according to standard laboratory guidelines and findings were observed.: WHO net software was used to analyze the data.: On analysis of all the samples, 208(12.4%) samples were culture positive. Among them Gram positive bacteria were 55.2 % and Gram negative were 44.8%. Coagulase negative Staphylococcuswas the predominant isolate among Gram positiveGram-positive,resistance to35%34.3xtensivelyXDR)Maximumresistanceprescription and usage.: Early diagnosis and appropriate treatment of bacterial infections can make difference between life and death. It would reduce mortality from septicemia and improve patient management.

Artificial Intelligence Model for Software Reusability Prediction System

The most significant invention made in recent years to serve various applications is software. Developing a faultless software system requires the software system design to be resilient. To make the software design more efficient, it is essential to assess the reusability of the components used. This paper proposes a software reusability prediction model named Flexible Random Fit (FRF) based on aging resilience for a Service Net (SN) software system. The reusability prediction model is developed based on a multilevel optimization technique based on software characteristics such as cohesion, coupling, and complexity. Metrics are obtained from the SN software system, which is then subjected to min-max normalization to avoid any saturation during the learning process. The feature extraction process is made more feasible by enriching the data quality via outlier detection. The reusability of the classes is estimated based on a tool called Soft Audit. Software reusability can be predicted more effectively based on the proposed FRF-ANN (Flexible Random Fit - Artificial Neural Network) algorithm. Performance evaluation shows that the proposed algorithm outperforms all the other techniques, thus ensuring the optimization of software reusability based on aging resilient. The model is then tested using constraint-based testing techniques to make sure that it is perfect at optimizing and making predictions.

PRIORITIZED TO-DO LIST

There are many strategies for noting the priority of various tasks on your to do lists. One technique is to feature stars or exclamation marks next to the high-priority responsibilities. Another technique is to apply numbers or letters to rank duties. You can also use underlining or circling or maybe change the size of your writing to indicate crucial gadgets. In this undertaking we can work at the information provided by means of the consumer and perform movements consisting of adding, prioritizing, and putting off. It makes one’s work-lifestyles and private life organized. It answers our queries by using marking the tasks which can be already executed with a checked symbol by using clicking at the listing. Additionally, the application may even list down the full number of To-do lists which are available and will also have a choice to filter project based totally on priorities. The priority drop-down box has three priorities low, medium, and excessive. A net software that prioritizes to-do listing for consumer comfort.

SLORETA Source Localization in Dyslexic Children during Different Congruency of Visual Images: P300 Component Analysis

The question of whether dyslexic children have visual cognitive differences in terms of brain activity as compared to normal children remains unsolved. Here, we aimed to study the neuronal source activity during visual attentional processing reflected in the P300 Event-Related Potential (ERP) component, when being exposed to the different congruency of visual images on dyslexic children by utilizing an ERP. Twelve dyslexic and twelve non-dyslexic children in the range of age 8 to 11 years old took part in this study. They pressed button ‘1’ when they saw a congruence image of the animal in its natural habitat and button ‘2’ for incongruence animal images in non-natural habitat. The source localization of P300 was executed on the grand average waveform by utilising Standardised Low-Resolution Brain Electromagnetic Tomography (sLORETA) algorithm provided by Net Station software. The BA 19 of the left occipital lobe was the most activated during congruence and incongruence images in the dyslexic children. As for the control children, BA 18 and BA 17 of the occipital lobe were activated during congruence and incongruence images, respectively. In sum, there were no differences in source activity areas during both visual images in dyslexic children as compared to the control children, which brings us to a conclusion that the visual attentional activity in dyslexic children used the brain areas that are associated with visual characteristics rather than context differences. Keywords: Dyslexia; visual attention; event related potential; sLORETA; image congruency

Nonlinear Analysis of Cable Net Structures

Objective: To present a methodology for implementing in MathCAD, a based on force densities for analytical form finding to three-dimensional cable net structures subjected to static loading. It is desired that the routines present a stability of the solution algorithm and fast convergence. Methodology: Theoretical background of the cable net structures behavior and FDM are first introduced. Then, a series of MathCAD routines are created to perform the nonlinear analysis of cable net structures. Finally, a well-documented cable net structure example found in the literature, and the results from a cable net software are used as a way to validate the output results provided by the created MathCAD routines. Results: The simulation results show that the proposed methodology implemented in MathCAD can accurately estimate the free nodes displacements and cable forces of 3D cable net structures subjected to vertical and horizontal static loading. Conclusions: This paper has demostrated that the propossed methodology is consistent when comparing with the results given in the reference paper and the used software. Stability of the algorithms is controlled and no numerical issues was presented during the analyzed examples thus, divergence complications were not found. The routines provided a clear way to visualize the assumptions, methods, and critical data obtained in the geometric analysis of cable net structures helping to overcome the inherit limitations of commercial packages.

GEODETIC SOFT- AND HARDWARE SYSTEMS BASED ON PERSPECTIVE DOMESTIC GNSS RECEIVERS

In the article the current problems and the perspectives of compound monitoring and positioning systems based on domestic Russian GNSS receivers are considered. Modernized concepts of those systems are proposed for the issues solving by the perspective GNSS receivers and geodetic net software. The systems based on those technologies are also overviewed. The conclusions on specifications, form-factors and the features of potential receivers are made. Four models of potential GNSS receivers are given based on earlier research and experimental design developments of Russian Institute of Radio-navigation and Time (RIRT). The perspective software modifications for various-purpose GNSS networks are also overviewed. The propositions are summarized with conceptual systems of local automatized geodetic network and the system of plan-height position control. The structure and features of the systems are overviewed. The conclusions of the works were made and the future continuation of the works are given.

Computer simulation and full-scale measurements of the load flow in a functioning heating network

The article aims to identify patterns in the distribution of heating energy to consumers with a varying availability of regulation equipment under real conditions of a central heating network, as well as to compare the results of computer simulation with full-scale measurements. For computer simulation, well-known mathematical methods for calculating the load flow in hydraulic circuits were used. Experimental studies of the operation modes of heat supply systems were carried out using the data of the control and monitoring systems of thermal power plants using the Siemens Simatic PCS7 software, a Portaflow 300 ultrasonic flow meter, stationary electromagnetic flow transducers, verified and certified manometers and thermometers. The graphs of the actual hydrodynamic modes of the heating network under study were obtained at outdoor air temperatures from +8 to -37°C, as well as under abnormal conditions (temperature drop in the supply pipeline and pressure drop at the heating network input). It was proposed to use jointly the simulation by means of the JA_Net software and full-scale measurements of the thermohydraulic operating modes of a centralised heat supply system, whose consumers have a various degree of regulation equipment. It was shown that the proposed complex method of qualitative and quantitative assessment of the efficiency of district heating networks makes it possible to identify the features of control of their hydraulic modes when connecting new consumers with a varying degree of automation. According to the obtained characteristics of changes in the flow rate of the coolant in the consumers’ internal systems depending on the pressure drop at the tie-in point, the lack of response to emergency situations on part of the consumers whose heat supply systems are equipped with the means of qualitative and quantitative regulation of the heat load, is associated with the process of automatic adjustment of the degree of opening of flow controllers and control valves at individual points. In future work, we will develop guidelines for levelling the imbalance of the heating network under the conditions of uneven provision of facilities with automation equipment when implementing projects for the complex modernisation of heat consumers or connecting new facilities to existing heat supply networks.

A framework to automate the design of digitally-fabricated timber plate structures

The current study uses knowledge from digital architecture, computer science, engineering informatics, and structural engineering to formulate an algorithmic framework for integrated Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE) of Integrally-Attached Timber Plate (IATP) structures. The algorithm is designed to take the CAD 3D geometry of an IATP structure as input and automates the construction and analysis of the corresponding CAE model using a macroscopic element, which is an alternative to continuum Finite Element (FE) models. Each component of the macro model is assigned a unique tag that is linked to the relevant geometric and structural parameters. The CAE model integrity is maintained through the use of the common data model (CDM) concept and object-oriented programming. The relevant algorithms are implemented in Rhinoceros 3D using RhinoCommon, a .NET software development kit. Once the CAE macro model is generated, it is introduced to the OpenSees computational platform for structural analysis. The algorithmic framework is demonstrated using two case structures: a prefabricated timber beam with standard geometry and a free-form timber plate arch. The results are verified with measurements from physical experiments and FE models, where the time needed to convert thousands of CAD assemblies to the corresponding CAE models for response simulation is considerably reduced.

SLORETA Source Localisation of Visual Mismatch Negativity in Dyslexic Children During Malay Orthographical Lexicon Stimulations.

BackgroundWhile there are studies on visual lexical processing in other languages among dyslexics, no studies were done in the Malay language. The origin of visual lexical processing might be different in the Malay language. We aimed to detect the source localisation of visual mismatch negativity (vMMN) during Malay orthographic lexicon stimulations, employing an event-related potential (ERP) study.MethodsTwelve dyslexic and twelve non-dyslexic children participated in this study. They pushed button ‘1’ when they saw real (meaningful) Malay words and button ‘2’ for pseudowords (meaningless). The source localisation of vMMN was performed in the grand average waveform by applying the standardised low-resolution brain electromagnetic tomography (sLORETA) method using Net Station software.ResultsLeft occipital (BA17) and left temporal (BA37) lobes were activated during real words in the non-dyslexic and dyslexic children, respectively. During pseudowords, BA18 and BA17 areas of the left occipital lobe were activated in the non-dyslexic and dyslexic children, separately. vMMN sources were found at the left temporal (BA37) and right frontal (BA11) lobes in non-dyslexic and dyslexic children, respectively.ConclusionRight frontal lobe is the decision-making area where vMMN source was found in dyslexic children. We concluded that dyslexic children required the decision-making area to detect Malay real and pseudowords.

Effect of monocular fixation in binocular field (MFBF) on amblyopia – a pilot study comparing it with patching

ABSTRACT Patching is the gold standard in amblyopia therapy. However, all children are not compliant with patching. We compared the efficacy of 2.5 hours per week of HTS Amblyopia I Net software (Amb I Net) using MFBF principle (delivered under binocular viewing conditions where the amblyopic eye is preferentially stimulated) with 14–42 hours per week of patching therapy. 54 children with anisometropic amblyopia of ages 4–15 years were included in the study – 24 children in the patching and 30 children in the MFBF group. The study ran for a period of 6 months with BCVA assessed at each visit of follow up. In the patching group, visual acuity (VA) gain was 0.37 ± 0.26 log Mar over the course of 6 months with continuous improvement in vision across the three time points (0.20 log mar in the first month, 0.11 log Mar from month1 to 3 and 0.06 log Mar from months 3 to 6).In the Amb I Net group, visual acuity gain was 0.54 ± 0.38 log Mar over the same course of time. A continuous improvement in vision was also noted, with gains of 0.16 in the first month, 0.19 from month 1 to 3 and 0.19 from month 3 to 6. The difference in log Mar gains in VA was not statistically significant between the treatment arms and the final VA was similar (0.25 log Mar for patching and 0.18 log Mar for Amb I net). However, clinically the patching group showed 3 log MAR lines, whereas the MFBF group showed 5 log MAR lines of vision improvement at the end of therapy. MFBF was not superior to patching as far as efficacy is concerned in anisometropic amblyopia. However, the combination of more game options to sustain interest, a shorter duration of therapy over the course of a week and software directed compliance monitoring system favors the Amb I Net system from both patient and parental perspective. Amb I Net also negated discomfort, social stigma, and parental monitoring needed with patching regimens. It can be considered as a good alternative to patching in reluctant/non – compliant children with anisometropic amblyopia. This is the first large cohort study based on this therapy.

From CIL to Java bytecode: Semantics-based translation for static analysis leveraging

Abstract A formal translation of CIL (i.e., .Net) bytecode into Java bytecode is introduced and proved sound with respect to the language semantics. The resulting code is then analyzed with Julia, an industrial static analyzer of Java bytecode. The overall process of translation and analysis is fast, scales to industrial programs, and introduces a negligible number of false alarms. The main contribution of this work is to leverage existing, mature, and sound analyzers for Java bytecode by applying them also to the wide range of .Net software systems. Experimental results show the actual effectiveness of this approach when applied to all the system libraries of the Microsoft .Net framework version 4.0.30319 (about 5 MLOCs).

Profiling the publish/subscribe paradigm for automated analysis using colored Petri nets

UML sequence diagrams are used to graphically describe the message interactions between the objects participating in a certain scenario. Combined fragments extend the basic functionality of UML sequence diagrams with control structures, such as sequences, alternatives, iterations, or parallels. In this paper, we present a UML profile to annotate sequence diagrams with combined fragments to model timed Web services with distributed resources under the publish/subscribe paradigm. This profile is exploited to automatically obtain a representation of the system based on Colored Petri nets using a novel model-to-model (M2M) transformation. This M2M transformation has been specified using QVT and has been integrated in a new add-on extending a state-of-the-art UML modeling tool. Generated Petri nets can be immediately used in well-known Petri net software, such as CPN Tools, to analyze the system behavior. Hence, our model-to-model transformation tool allows for simulating the system and finding design errors in early stages of system development, which enables us to fix them at these early phases and thus potentially saving development costs.

Knowledge Net: Model and System for Accumulation, Representation, and Use of Knowledge

The paper describes data and knowledge accumulation model named Knowledge Net developed for the company Info Wings LLC. It proposed as a model for formalizing, presenting, and using of knowledge and data within single shared information space of an intelligent enterprise, for example, within the framework of Industry 4.0. The key features of Knowledge Net are the support of multi-aspect description of entities, the possibility of expanding the network of concepts and entities, and the dynamic evolution of the aspects structure. The Knowledge Net is based on a graph data model and it is the part of ongoing open source application development of a digital enterprise platform. The paper provides an example of using Knowledge Net software to describe objects of a manufacturing enterprise. Current state analysis has not revealed complete analogues of Knowledge Net model for accumulation, presentation, and use of data and knowledge or the corresponding software that justifies the novelty of the model described in the paper.

Análise das Estratégias Competitivas de Organizações no Segmento de Água e Saneamento

Competitive strategies are considered as one of the central elements for all management systems. The purpose of this study was to analyze the main strategic policies and prerogatives based on competitive advantages. Regarding the methodological approach, this study can beclassified as a documentaryand qualitative research. The sample for this research comprised five companies listed on the BM&F Bovespa market inthe water and sanitation economic subsector. The analysis of this study was carried out through content analysis and correspondence analysis techniques (ANACOR). Data processing and statistical inferencing of the reports were made with the aid of Atlas.ti, Statistical Package for the Social Sciences (SPSS 20) and Wordle net software. The tests carried out using content analysis and correspondence analysis led to the conclusion that most companies mainly focus their actions on partnership strategies. It could also beconcluded that the main strategies that have a direct impact on management are: programs aimed at reducing costs through technological efficiency, resource optimization, operational improvements and socio-environmental management.

Análise das Estratégias Competitivas de Organizações no Segmento de Água e Saneamento

Competitive strategies are considered as one of the central elements for all management systems. The purpose of this study was to analyze the main strategic policies and prerogatives based on competitive advantages. Regarding the methodological approach, this study can beclassified as a documentaryand qualitative research. The sample for this research comprised five companies listed on the BM&F Bovespa market inthe water and sanitation economic subsector. The analysis of this study was carried out through content analysis and correspondence analysis techniques (ANACOR). Data processing and statistical inferencing of the reports were made with the aid of Atlas.ti, Statistical Package for the Social Sciences (SPSS 20) and Wordle net software. The tests carried out using content analysis and correspondence analysis led to the conclusion that most companies mainly focus their actions on partnership strategies. It could also beconcluded that the main strategies that have a direct impact on management are: programs aimed at reducing costs through technological efficiency, resource optimization, operational improvements and socio-environmental management.