scholarly journals Prediction of Oilfield-Increased Production Using Adaptive Neurofuzzy Inference System with Smoothing Treatment

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Lin Chen ◽  
Zhibin Liu ◽  
Nannan Ma ◽  
Yi Wang
Keyword(s):  
Initial Data ◽  
Numerical Experiments ◽  
The Novel ◽  
Inference System ◽  
Feasible Method ◽  
Prediction Result ◽  
Well Stimulation ◽  
Adaptive Neurofuzzy Inference System ◽  
Oilfield Development ◽  
Better Than

A novel modified adaptive neurofuzzy inference system with smoothing treatment (MANFIS) is proposed. The MANFIS model considered the smoothing treatment of initial data basing on the adaptive neurofuzzy inference system, and we used it to predict oilfield-increased production under the well stimulation. Numerical experiments show the prediction result of the novel considering smoothing treatment is better than that without smoothing treatment. This study provides a novel and feasible method for prediction of oilfield-increased production under well stimulation, and it can be helpful in the further study of oilfield development measure planning.

Vibration signal diagnosis and analysis of rotating machine by utilizing cloud computing

2021 ◽  
Vol 10 (1) ◽  
pp. 404-413
Author(s):  
Zhe Mi ◽  
Tiangang Wang ◽  
Zan Sun ◽  
Rajeev Kumar
Keyword(s):  
Cloud Computing ◽  
Vibration Signal ◽  
Absolute Error ◽  
Mean Value ◽  
Percentage Error ◽  
Inference System ◽  
Computing Platform ◽  
Fault Prognosis ◽  
Adaptive Neurofuzzy Inference System ◽  
Better Than

Abstract Vibration signal diagnosis and analysis plays an important role in the industrial machinery since it enhances the machinery performance under supervision. The information regarding the future condition is given by vibration diagnosis techniques which is growing interest for the scientific and industrial communities. Information for failure diagnostic and prediction are provided by the motor vibration through signal processing. The development of mechanical systems fault prognosis and in the last decades, research is done at a very rapid rate. The examination of vibration signal monitoring is done in this paper with the aid of Cyber-Physical Systems (CPS) and Cloud Technology (CT). The machines maintenance strategies are implemented by using the data collected from machines which are based on the fault prognosis. The cloud computing platform is presented in this paper which is having three layers and the unlabelled data is received to generate an interpreted online decision. Feature extraction of the vibration signal is obtained in terms of range, mean value, root mean square value, and standard deviation and crest values. The performance of the model is evaluated by utilizing the classical statistical metrics such as RMSE Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) of the vibration signal. It is obtained that the proposed technique is 25% and 90% better than the Adaptive Neurofuzzy Inference System and the Single Modeling System respectively in terms of RMSE. The performance in terms of MAPE, then the proposed technique outperforms the existing Adaptive Neurofuzzy Inference System and the Single Modeling System by 8 % and 60% respectively. The presented technique is better than the existing Adaptive Neurofuzzy Inference System and the Single Modeling techniques by average of 15% and 30 % respectively.

scholarly journals On the Convexity Preservation of a Quasi C3 Nonlinear Interpolatory Reconstruction Operator on σ Quasi-Uniform Grids

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 310 ◽  
Author(s):  
Pedro Ortiz ◽  
Juan Carlos Trillo
Keyword(s):  
Initial Data ◽  
Numerical Experiments ◽  
Approximation Order ◽  
Piecewise Polynomial ◽  
Nonuniform Grids ◽  
Uniform Grids ◽  
Reconstruction Operator ◽  
Convexity Properties ◽  
Second Degree

This paper is devoted to introducing a nonlinear reconstruction operator, the piecewise polynomial harmonic (PPH), on nonuniform grids. We define this operator and we study its main properties, such as its reproduction of second-degree polynomials, approximation order, and conditions for convexity preservation. In particular, for σ quasi-uniform grids with σ≤4, we get a quasi C3 reconstruction that maintains the convexity properties of the initial data. We give some numerical experiments regarding the approximation order and the convexity preservation.

A Set-theoretic Approach to Reasoning Services for the Description Logic 𝒟 ℒ D 4,×

2020 ◽  
Vol 176 (3-4) ◽  
pp. 349-384
Author(s):  
Domenico Cantone ◽  
Marianna Nicolosi-Asmundo ◽  
Daniele Francesco Santamaria
Keyword(s):  
Description Logic ◽  
Description Logics ◽  
Theoretic Approach ◽  
The Novel ◽  
Data Types ◽  
Left Hand ◽  
Rule Languages ◽  
Tableau System ◽  
High Scalability ◽  
Better Than

In this paper we consider the most common TBox and ABox reasoning services for the description logic 𝒟ℒ〈4LQSR,x〉(D) ( 𝒟 ℒ D 4,× , for short) and prove their decidability via a reduction to the satisfiability problem for the set-theoretic fragment 4LQSR. 𝒟 ℒ D 4,× is a very expressive description logic. It combines the high scalability and efficiency of rule languages such as the SemanticWeb Rule Language (SWRL) with the expressivity of description logics. In fact, among other features, it supports Boolean operations on concepts and roles, role constructs such as the product of concepts and role chains on the left-hand side of inclusion axioms, role properties such as transitivity, symmetry, reflexivity, and irreflexivity, and data types. We further provide a KE-tableau-based procedure that allows one to reason on the main TBox and ABox reasoning tasks for the description logic 𝒟 ℒ D 4,× . Our algorithm is based on a variant of the KE-tableau system for sets of universally quantified clauses, where the KE-elimination rule is generalized in such a way as to incorporate the γ-rule. The novel system, called KEγ-tableau, turns out to be an improvement of the system introduced in [1] and of standard first-order KE-tableaux [2]. Suitable benchmark test sets executed on C++ implementations of the three mentioned systems show that in several cases the performances of the KEγ-tableau-based reasoner are up to about 400% better than the ones of the other two systems.

A fuzzy sensitivity analysis approach to estimate brain effective connectivity and its application to epileptic seizure detection

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Nader Moharamzadeh ◽  
Ali Motie Nasrabadi
Keyword(s):  
Time Series ◽  
Sensitivity Analysis ◽  
Effective Connectivity ◽  
Multivariate Time Series ◽  
Inference System ◽  
Eeg Data ◽  
Adaptive Neurofuzzy Inference System ◽  
Intracranial Electroencephalography ◽  
Fuzzy Network ◽  
The Brain

Abstract The brain is considered to be the most complicated organ in human body. Inferring and quantification of effective (causal) connectivity among regions of the brain is an important step in characterization of its complicated functions. The proposed method is comprised of modeling multivariate time series with Adaptive Neurofuzzy Inference System (ANFIS) and carrying out a sensitivity analysis using Fuzzy network parameters as a new approach to introduce a connectivity measure for detecting causal interactions between interactive input time series. The results of simulations indicate that this method is successful in detecting causal connectivity. After validating the performance of the proposed method on synthetic linear and nonlinear interconnected time series, it is applied to epileptic intracranial Electroencephalography (EEG) signals. The result of applying the proposed method on Freiburg epileptic intracranial EEG data recorded during seizure shows that the proposed method is capable of discriminating between the seizure and non-seizure states of the brain.

scholarly journals Design of a Novel Six-Axis Wrist Force Sensor

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 3120 ◽  
Author(s):  
Shanshan Hu ◽  
Huaiyang Wang ◽  
Yong Wang ◽  
Zhengshi Liu
Keyword(s):  
Simulation Analysis ◽  
Dynamic Performance ◽  
Force Sensor ◽  
The Novel ◽  
Element Analysis ◽  
Body Design ◽  
Design Idea ◽  
Bridge Circuits ◽  
Design Ideas ◽  
Better Than

A novel elastic body design idea of six-axis wrist force sensor with a floating beam was raised based on the analysis of the robot six-axis wrist force sensor with a floating beam. The design ideas improve the sensor’s dynamic performance significantly, while not reducing its sensitivity. First, the design ideas were described in detail, which were analyzed by mechanical modeling and were verified by finite element analysis. Second, the static simulation analysis of the novel elastomer of sensor was carried out. According to the strain distribution performance, the position of the strain gauges pasted and the connection mode of the full-bridge circuits were decided, which can achieve theoretical decoupling. Finally, the comparison between the static and dynamic performance of the novel sensor and the original sensor with floating beams was done. The results show that the static and dynamic performance of the novel six-axis wrist sensor are all better than the original sensor.

scholarly journals The Upsurge and Impact of COVID 19 in India: Health Issues and Remedial Measures

2021 ◽  
pp. 28-34
Author(s):  
Kanchi Isswani
Keyword(s):  
Sudden Increase ◽  
The Novel ◽  
Health Issues ◽  
Public Places ◽  
Frontline Workers ◽  
Time Period ◽  
Essential Services ◽  
Novel Coronavirus ◽  
Major Decision ◽  
Better Than

The novel Coronavirus was something that nobody was prepared for. It was that part of the syllabus which was always neglected. The contagious disease which started in the Wuhan region of China had started to settle in various parts of the World. The outbreak of this disease has reached such a huge number that all the countries witnessed lockdown in some form or the other. Some people have witnessed destruction of mankind while some have even leisured this time to their fullest but as it has been always said “Prevention is better than cure”. Prevention of covid 19 in all the nations was one of the major steps which was taken in the year 2020. In India it all started in the year of 2019 December when the first ever case of covid 19 was reported in the state of Kerala followed by Rajasthan, Maharashtra and Delhi. Following such a situation and then sudden increase in the no of cases all over the country a major decision was taken that was of Complete lockdown excluding the emergency and essential services. Before taking the step of lockdown, as a gesture of respect to the frontline workers, government of India announced Tali Bajao movement. In the period of lockdown Certain norms were even made mandatory that were wearing a mask, maintenance of hand sanitation and following social distancing of 1.5 meters in public places. All the educational institutes and teachings were even suspended during the time period of lockdown as it could have become a hub for the virus to spread. With time, the restrictions which were laid down in lockdown were started to be reduced in the phase wise manner and finally India noticed its very first Unlock period. In all this scenario mankind has dealt with various situations and have emerged to be a better person. All these steps were crucial to control the spread of Novel Coronavirus and prevention from the already spread cases.

scholarly journals “Concepts of Konstantine Gamsakhurdia`s “Moon`s Abduction”

2021 ◽  
Author(s):  
Nana Kutsia ◽  
Miranda Todua ◽  
Marine Turava
Keyword(s):  
State Building ◽  
The Novel ◽  
Soviet System ◽  
Security Officer ◽  
World Outlook ◽  
The World ◽  
Literary Heritage ◽  
Educated Person ◽  
Better Than ◽  
Positive Character

“Moon`s Abduction” by Konstantine Gamsakhurdia is a very important text written in the Soviet Georgia. The writer created monumental literary landscape in the period of so called “socialist realism” literary style. The novel makes a great demand on the reader`s erudition, on his capacity to understand the complex allusions, literary, philosophical and mythological, that characterize Gamsakhurdia`s prose. The present article deals with the world-outlook of Soviet and Post-Soviet literary critique – on the background of the publicistic letters of the outstanding critics Beso Zhghenti and Soso Sigua. The novel clears up the writer`s attitude to the revolution, socialism, collectivization of agriculture, person`s role as a member of society. The Soviet and Post-Soviet critics world-outlooks are absolutely different. By the Soviet critic (Beso Zhghenti) the novel is an excessive apologia of Soviet system, of Soviet state-building, a positive character (hero) is Arzakan Zvambaia, the security officer, the ossicial of Cheka, Bolshevism is better than traditional life of Georgia, civilization is better than culture. By the Post-Soviet world-outlook (Soso Sigua) the novel is a reflection of tragedy of the Georgian nation (because of negation of Georgian traditions, unique Georgian culture), a positive character is a prince Tarash Emkhvari, cultural and well-educated person; Bolshevizm is tragedy. Literary, philosophical and mythological allusions characterize Gamsakhurdias literary heritage (verses, short-stories, novels). The article deals with the world-outlook of the author. The official of Cheka Arzakan is a patricide, another official Arlan cut the centuries-old sacral tree - Bolhevizm hates roots and traditions. There are a lot of mythological characters reflected in the novel (Aramkhutu-Amirani, Sacral-tree, Mezir – Sacral serpant…). A reader feels the influence of Nitcze and Bergson world-outlook, passages from Hesiod`s “Theogony” and Appolonios from Rodoss “Argonautica.”The novel of Konstantine Gamsakhurdia is one of the best reflections and the best samples of Georgian novel of the 30s of the 20th century epoch.

scholarly journals Sesquiterpenes and Cyclodepsipeptides from Marine-Derived Fungus Trichoderma longibrachiatum and Their Antagonistic Activities against Soil-Borne Pathogens

Marine Drugs ◽  
2020 ◽  
Vol 18 (3) ◽  
pp. 165 ◽  
Author(s):  
Feng-Yu Du ◽  
Guang-Lin Ju ◽  
Lin Xiao ◽  
Yuan-Ming Zhou ◽  
Xia Wu
Keyword(s):  
Phytopathogenic Fungi ◽  
Economic Losses ◽  
The Novel ◽  
Root Knot Nematode ◽  
Trichoderma Longibrachiatum ◽  
Soil Borne Pathogens ◽  
Antifungal Potential ◽  
Antagonistic Potential ◽  
Southern Root Knot Nematode ◽  
Better Than

Soil-borne pathogens, including phytopathogenic fungi and root-knot nematodes, could synergistically invade vegetable roots and result in serious economic losses. The genus of Trichoderma has been proven to be a promising reservoir of biocontrol agents in agriculture. In this study, the search for antagonistic metabolites from a marine-derived fungus, Trichoderma longibrachiatum, obtained two structural series of sesquiterpenes 1–6 and cyclodepsipeptides 7–9. Notably, the novel 1 was a rare norsesquiterpene characterized by an unprecedented tricyclic-6/5/5-[4.3.1.01,6]-decane skeleton. Their structures were elucidated by extensive spectroscopic analyses, while the absolute configuration of novel 1 was determined by the comparison of experimental and calculated ECD spectra. The novel 1 and known 2 and 3 showed significant antifungal activities against Colletotrichum lagrnarium with MIC values of 8, 16, and 16 μg/mL respectively, even better than those of the commonly used synthetic fungicide carbendazim with 32 μg/mL. They also exhibited antifungal potential against carbendazim-resistant Botrytis cinerea. Cyclodepsipeptides 7–9 showed moderate nematicidal activities against the southern root-knot nematode (Meloidogyne incognita). This study constitutes the first report on the antagonistic effects of metabolites from T. Longibrachiatum against soil-borne pathogens, also highlighting the integrated antagonistic potential of marine-derived T. Longibrachiatum as a biocontrol agent.

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