Miracle-dz/UniFAR-FTUs huggingface dataset:
Variable structure control with time-varying sliding mode and vibration control for flexible satellite

A hybrid control scheme is proposed which combines the variable structure control and the intelligent vibration control.Based on the variable structure control theory,a discontinuous control law is developed with a new type of sliding surface.The variable structure control law based on a time-varying sliding surface is applied in the exterior of a small sliding region,while the conventional variable structure control law with a linear sliding surface is activated in the interior of the region.For actively damping the excited elastic vibrations,the strain-rate feedback control is also employed by using piezoelectric materials as additional sensors and actuators.Finally,simulation results show that the rotational maneuver and the vibration suppression are realized in spite of the presence of disturbance torque and control input constraint.
An Object-oriented Programming (OOP) Based Expert System for Electrical Work Order

The repairing work of electrical equipment can be ensured to conduct safely and smoothly, by means of developed expert system for electrical work order. This paper introduces the realization method, functions, configuration and features of the system. An object-oriented programming(OOP) software development technology allows the system to feature universality, maintainability and expansibility.
IMPROVED METHOD OF LIFETIME AND ITS RELIABILITY ANALYSES FOR DISKS BASED ON STRESS CORRECTION COEFFICIENT

The influence of load ratio has not been considered before in the life and its reliability analysis method based on stress correction coefficient while applied to predict the medium-long life of disks.The influences of load ratio on the life and its reliability of disks were investigated.Through computation analysis,it is found that there is a linear relationship between stress correction coefficient and the maximum stress of the notched bar under different load ratios in life range of 3 000 ～ 40 000 cycles.And this linear relationship is also found for other 4 kinds of materials.Finally,the probabilistic life of a fan disk was analyzed and compared.The computational results of the improved method are more reasonable.
Image Recognition Technology Research and Application

In power system application of image recognition technology is conducive to timely equipment maintenance and troubleshooting,lays the foundation for carrying out condition-based maintenance and smart grid construction.The article describes the power system status of image recognition technology and its applications to illustrate the general image recognition process.Through the application of SF6 leak laser imager and thermal infrared imager,establishing background processing center,combining the image processing and video analysis,a diagnosis platform based on image and video analysis is provided,standardizing the diagnosis of equipment failure.
Convolutional Neural Networks Using Log Mel-Spectrogram Separation for Audio Event Classification with Unknown Devices

Audio event classification refers to the detection and classification of non-verbal signals, such as dog and horn sounds included in audio data, by a computer. Recently, deep neural network technology has been applied to audio event classification, exhibiting higher performance when compared to existing models. Among them, a convolutional neural network (CNN)-based training method that receives audio in the form of a spectrogram, which is a two-dimensional image, has been widely used. However, audio event classification has poor performance on test data when it is recorded by a device (unknown device) different from that used to record training data (known device). This is because the frequency range emphasized is different for each device used during recording, and the shapes of the resulting spectrograms generated by known devices and those generated by unknown devices differ. In this study, to improve the performance of the event classification system, a CNN based on the log mel-spectrogram separation technique was applied to the event classification system, and the performance of unknown devices was evaluated. The system can classify 16 types of audio signals. It receives audio data at 0.4-s length, and measures the accuracy of test data generated from unknown devices with a model trained via training data generated from known devices. The experiment showed that the performance compared to the baseline exhibited a relative improvement of up to 37.33%, from 63.63% to 73.33% based on Google Pixel, and from 47.42% to 65.12% based on the LG V50.
On the algebraic estimation of whole two-wheeled vehicles dynamics via High Order Sliding Mode Differentiators

The present study extends our recent result on the states estimation of two-wheeled vehicles. Based on the estimation of the lateral dynamics with the observer proposed in [1], a second estimator is presented in this paper to reconstruct the longitudinal tire-road forces, engine and braking torques. To this end, the longitudinal dynamics is analysed in order to recover the tire-road forces without any knowledge of tire parameters. The effectiveness of the proposed approach is shown through simulation results. Concluding remarks wrap up the paper.
Enhancement of Cognitive Radio Spectrum with Proposed Cascade Filter Model

The use of the frequency spectrum has become an urgent necessity, especially in the advanced generations of communications and various types of transmitted data. The radio spectrum is not being exploited effectively, primarily due to the current strict frequency allocation scheme. Only few bands of the spectrum are heavily utilized, such as those used for wireless base stations. Many bands are either not used at all or are only used infrequently. This problem has been solved through cognitive radio (CR) technology. CR technology faces many challenges in finding the unused frequency spectrum, especially the presence of noise in the spectrum analysis. This paper proposes a filter model with two-stages to enhance the cognitive radio performance and perform a comparison between proposed filter with the traditional cognitive radio techniques, by the means of QPSK modulation. The comparison result based on parameters such as the probability of detection as well as the probability of failure and the cumulative error rates. High probability of detection is required to achieve better network performance. A proposed filter model in the CR method has successfully passed all tests and provided better performance than other filters.
Overlap-free automatic datum dimensioning approach in die and mould drawing based on cutting and packing strategy

A novel automatic datum dimensioning or ordinate dimensioning approach was proposed to address the overlap and intersection issues in the die and mould engineering drawing based on the cutting and packing strategy.The corresponding optimization model was presented with respect to the minimized offset value of the datum dimension as objective,and overlap as the constraints.The proposed algorithm was implemented by utilizing the programming language AutoLISP in AutoCAD software.The practical datum dimensioning cases were given to illustrate the important features of the method.The results indicate that the overlap and intersection issues can be well figured out in the proposed approach.The development time of die and mould is shortened,because of the implementation of automatical dimension.
Rover Landing Unloading Mechanism with Lunar Surface Adaptability

To improve the unloading mechanism adaptability under all complex conditions,some representative extreme conditions are synthesized in different unloading situations.Analyzing the requirements of the extreme conditions and unloading progress,the movement rule of rocker-arm style unloading mechanism is found with movement track layout method to construct an unloading mechanism D-H matrix,and a art flexible rope transmission is considered as the restriction to obey the movement rule.Thus,a sub-sectioned gradual incline rocker-arm style unloading mechanism is designed.The experiments show that the actually measured movement rule coincides with the theoretical one very well in lunar rover unloading,and the lunar rover unloading can be completed for extreme pitching and extreme rolling,and on stone-spread ground.
Prospect and development of transmission line fault location using travelling wave

Since transmission lines are liable to faults,its fault location technology with higher accurate is important to the operation of power systems.As a method with high accuracy,travelling wave based fault location is independent of fault resistance,symmetry of configuration,terrain of corridor,error of TA and TV,and can be used in DC transmission lines and series compensating lines.Recently,the advancements are made on the exploration of new theories,the signal pick-up and analysis,and the high-speed sampling and the mass storage facility are used in the development of travelling wave fault location devices.
Mining Method Optimization Based on GRA and Weighted TOPSIS Method

In order to choose an appropriate mining method, a synthetic assessment index system was established. A comprehensive evaluation index system model based on the basic theory of the Analytic Hierarchy Process(AHP), the Grey Relation Analysis(GRA) and the weighted TOPSIS was established to optimize the mining methods. During the process, the evaluation indexes in the mining method were comprehensively considered in view of economy, technology and security. The weight matrix of the evaluation indexes was established according to the AHP method, then, according to the weighted TOPSIS improved by the grey relational coefficient, a weighted TOPSIS-GRA comprehensive evaluation model was established, and the synthetic superior degree of the mining methods based on the influence factors was obtained by the TOPSIS methods. Taking the mining method optimization in the transition from the open pit to the underground mining in Shirengou Iron Mine as an example, the synthetic superior degrees of four kinds of optional mining methods are47.9%,62.5%,63.9% and 59.9%, respectively. According to this analysis, the third mining method is the best. The feasibility and the effectiveness of the evaluation model are verified by the mine's production practice.
A Method of Fuzzy Predictive Control for Delay System

The paper studies on a combination method for both fuzzy control and predictive control.A simple and easy-implemented method on fuzzy predictive control is brought up.This method can fully utilize both the qualitative analysis traits for fuzzy control and the quantitative analysis traits for predictive control.Simultaneously,the stable windage may be eliminated by the use of an integrator.The simulation results show that the method is well suitable for the complicated industrial process with the uncertain time-delay.
From research to practice: Incorporating consumer bankruptcy into community development initiatives

ABSTRACT This manuscript presents a case study illustrating how simple, visual analytics tools can be used to longitudinally assess consumer bankruptcy filings in a single community. In doing so, it provides a template for leaders in other communities to follow in conducting their own assessments. The case study focuses on the Logan neighborhood in Spokane, WA, a blue collar neighborhood which is home to Gonzaga University. This allows for simple comparisons to assess evolutionary changes in bankruptcy filings, within the Logan neighborhood over time, as well as comparisons to other Spokane neighborhoods that have less diversity and higher mean incomes.
Fusion of GPS and Redundant IMU Data for Attitude Estimation

Attitude estimation using Global Positioning System/Inertial Navigation System (GPS/INS) was used as an example application to study three different methods of fusing redundant multi-sensor data used in the prediction stage of a nonlinear recursive filter. Experimental flight data were collected with an Unmanned Aerial Vehicle (UAV) containing GPS position and velocity calculations and four redundant Inertial Measurement Unit (IMU) sensors. Additionally, the aircraft roll and pitch angles were measured directly with a high-quality mechanical vertical gyroscope to be used as a ‘truth’ reference for evaluating attitude estimation performance. A simple formulation of GPS/INS sensor fusion using an Extended Kalman Filter (EKF) was used to calculate the results for this study. Each of the three presented fusion methods was shown to be effective in reducing the roll and pitch errors as compared to corresponding results using single IMU GPS/INS sensor fusion. Additionally, the fusion methods were shown to be effective in estimating roll and pitch angles without the aid of GPS (dead reckoning).
The Impact Analysis of Investment Decisions on Taxations of Corporate Organisations: An Empirical Studies from Nigeria

The research work titled “impact analysis of investment decisions on taxations of corporate organisations in Nigeria” was carried out with the primary aims of investigating whether the choice debt over equity has significant impact on taxes in Nigeria. It also surveyed on the influence of capital expenditure of corporate entities on their taxes and whether the working capital management can be used in tax planning of corporations in Nigeria. The original propositions, as well as the principles of Modigliani and Miller's Theorem (1958), indicate that there is a completely efficient market with no taxes, transactions, or bankruptcy costs, and that all participants have access to a wealth of information. Modigliani and Miller included the influence of taxes to their model in 1963, bringing the theory closer to reality (Adegbite and Shittu, 2017). The researcher opted to limit the study to an object (i.e. Federal Capital Territory Abuja) thereby selecting 5 industries selected from the Nigerian Stock Exchange to include Financial services, construction/real estate, oil and gas, consumer goods and information and communication technology (ICT) with a total of five (5) corporate organizations as respondents Selected from the population. In terms of the research issue, the findings were expanded to the entire population. At the conclusion of the study, the researcher determined that the choice of debt over equity, capital expenditure, and working capital over taxes of business organizations in Nigeria had no statistically significant influence. The researcher finally recommended that enough processes should be in place at all times to ensure that all types of taxes in Nigeria are correctly accounted for and filed with the relevant tax authority and that corporate organisations in Nigeria require the services of tax consultants in order to incorporate proper tax planning mechanism in their business dealings.
Cross-border balancing in Europe : ensuring frequency quality within the constraints of the interconnected transmission system

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Information-fusion method for fault diagnosis based on reliability evaluation of evidence

In fault diagnosis methods based on evidence theory with information fusion, the reliabilities of evidences will affect the accuracy of diagnosis results. However, most existing fusion diagnosis methods do not take the reliabilities of the evidences into account comprehensively. The main factors which determine the reliability of evidence are the precision of individual sensor and the performance of the method in obtaining the evidence, as well as the uncertainties in the observation environment. They are considered static factors and dynamic factors. The original evidence is first modified by a static discount-factor obtained by optimizing the indication function of Pignistic probability measure. This result is further modified by a dynamic discount-factor which is obtained by applying the measurement method to evidence similarity in Pignistic vectors. Double-modified evidences are combined by Dempster combination rule to obtain the final diagnosis results. Experiments on the multi-functional flexible rotor-testing validate the effectiveness of the proposed method.
YOLO V2 WITH BIFOLD SKIP: A DEEP LEARNING MODEL FOR VIDEO BASED REAL TIME TRAIN BOGIE PART IDENTIFICATION AND DEFECT DETECTION

A Train Rolling Stock Examination (TRSE) is a bogie part functionality inspection performed manually across the Rail companies to ensures passenger safety and uninterrupted rail services. There have been attempts in the past to technologically upgrade this procedure to semi-automated through computer vision (CV) aided models. The CV models use TRS videos to segment and extract bogie parts. However, most of these models fail to accomplish the intended objective of automation, due to computational latency in producing real-time outcomes. Hence, in this paper, we propose a deep learning approach to bogie part identification problem through modified Yolo Convolutional Neural Network (Yolo-CNN) model with bifold skip architecture. The regular Yolo architecture is modified by applying early feature fusion along with the existing late fusion to enhance the detection capabilities of the network with sparse training data. The training data consists of bogie parts annotated from the train bogie video data. The testing is carried on full length bogie videos. The results show that the proposed architecture has performed exceptionally well in identifying bogie parts on various train videos under different ambient lighting conditions. This method has indeed outperformed the earlier models used for CV based TRSE and similar Yolo-CNN models.
EFFECTS OF THE SEVERITY OF CHILD SEXUAL ABUSE AND P ERPETRATOR RELATIONSHIP ON COLLEGE FEMALES’ SELF-ESTEEM By

Child sexual abuse (CSA), perpetrator characteristi cs and self-esteem were studied using an extant data set comprised of a subsample of 177 college females. It was hypothesized that there would be a difference in the severity of CSA based on the identity of the perpetrators (i.e., other children, adults, or both children and adults) and the perpetrator relationship to the victim. Results indicated that the CSA was more severe among children who were abused by both a child and an adu lt. No significant results were found regarding the relationship of the perpetrator to th e victim. The second hypothesis sought to determine if there were differences in CSA victi ms’ levels of self-esteem based on perpetrator identity and relationship to the victim . No differences were found in levels of self-esteem based on identity of perpetrator or rel ationship to the victim. Attachment theory was used to discuss the effects of CSA on vi ctims.
Predicting the Dark Triad for Social Network Users using Their Personality Characteristics

Every day, social media platforms generate huge amounts of content including posts, images, and social network activities. This motivated scientists to automate users’ personalities assessment by analyzing textual, visual, or statistical features. The Dark Triad personality traits, Machiavellianism, Narcissism and Psychopathy, have been proven to be positively correlated with posting and editing selfies on social networks. None of the existing studies examined psychological personality characteristics concealed in the user’s generated text as predicting factors for the Dark Triad traits. This paper proposes a prediction method for those negative traits by analyzing personality characteristics identified as the personal Values and Needs, which can be extracted from users’ generated text on the social media. The proposed features are employed, single and combined, with various machine learning techniques for predicting the Triad classes. For adjusting trait binary classification, two marginal thresholds are tested: median-based split and reference-based split. The experimental study has shown that regression models using the proposed personality characteristics of Values and Needs features can classify the Dark Triad traits with an accuracy up to 70%, surpassing existing related work that employs traditional textual features. Moreover, the proposed features contributed to much lower-dimensional feature space with 92% savings, additionally, proving better processing for prediction of the traits. Both the median-based and reference-based classification thresholds succeed in providing a discrete classifier with preference for the former.
Quality Control Management Of Madrasah Education In International Standard

Quality control has to design in educational institutions. The purpose of this study was to determine the concept of quality control of education at the International Standard Madrasah Amanatul Ummah Pacet Mojokerto, East Java. This research is qualitative research with a single case study model. The participants involved are 1) kyai, 2) madrasa heads, 3) vice coordinators of Madrasas, 4) ustadzor teachers in Madrasas, 5) students, and 6) alumni. The data collection process is 1) in-depth interviews; 2) participant observation; and 3) documentation studies. Data analysis data used l) data reduction, 2) data display; and 3) conclusion drawing/verification. The finding shows that the quality control process at the International Standard Madrasah Amanatul Ummah includes, 1) monitoring of activity programs is carried out in a coordinated and responsible manner; 2) a series of evaluations carried out intensely; 3) carry out control of order and program implementation continuously; 4) activity report in written form in the form of reporting and verbally in the form of directions; 5) carry out continuous monitoring. While transcendent control is a form of inherent supervision that is embedded in the religious spirit of each person relying on the Substance of the Almighty Creator. The control of improving the quality of education carried out by the Amanatul Ummah International Standard Madrasah is internal and transcendent control.
Performance Analysis of Differential Frequency Hopping Communication System

This paper presents a new HF frequency hopping communication system which is called correlated hopping enhanced spread spectrum (CHESS). The composition of CHESS is discussed.Differential frequency hopping (DFH) which is the key technology in this system is described and the performance of DFH is analyzed.The paper also gives the simulation results of different demodulation algorithm.According to the characteristic of DFH,the new demodulation algorithm using frequency sequence detection is presented and its performance is analyzed and simulated.
Simulation of internal waves using GM model and comparison against measurements during ARMEX-I

A linear internal wave model based on the Garrett-Munk (hereafter GM) modal spectrum has been developed. The model simulates sound speed structure due to internal waves in the ocean. CTD yoyo (go up and down continuously) data collected during the ARMEX-I experiment has been utilized to validate the model. Internal waves amplitudes at the experimental site are found to be >1m. EOF and modal decomposition analyses reveal that the modal bandwidth parameter j* = 3 and modal energy damping parameter P = 1 or 2 and follows the GM suggested values. Comparison of the measured sound speed profiles against the simulated reveals that the GM model is capable of reproducing most of the variability due to IW in the deep-waters. The agreement between the observed and simulated perturbations is quite good.