Miracle-dz/UniFAR-FTUs huggingface dataset:
A Noncooperative Gaming Approach for Control Packet Transmission in 6TiSCH Network

The 6TiSCH communication architecture is widely used in Industrial Internet of Things (IIoT) to provide reliable, delay-bounded, and energy-efficient communication in multihop scenarios. However, the channel hopping feature and the resource allocation strategy of 6TiSCH minimal configuration (6TiSCH-MC) standard negatively impact the 6TiSCH network by increasing network formation time. 6TiSCH-MC allows only one cell (known as minimal cell) per slotframe to transmit control packets. When the number of joined nodes increases in the network, the formation time also increases because of the increasing congestion in the minimal cell. Furthermore, the existing works did not study the effect of transmission rates of all control packets together during 6TiSCH network formation. Therefore, in this work, a noncooperative game is formulated, for optimal transmission of control packets by the joined nodes. The obtained solution of the proposed game, using the Lagrange multiplier and Karush–Kuhn–Tucker (KKT) conditions, is used in the proposed congestion control scheme—game theory-based congestion control (GTCC). GTCC calculates the slotframe window (SW) size for every node to control the congestion in minimal cell without any signaling overhead. GTCC is validated using the analytical model as well as the FIT IoT-LAB testbed. The findings of both the analytical and testbed experiments show that GTCC significantly reduces the joining time and energy consumption of new nodes (i.e., pledges) as compared to previous benchmark schemes.
Vibratory Sensation Induced by Low-Frequency Noise: The Threshold for “Vibration Perceived in the Head” in Normal-Hearing Subjects

Our previous study, in which we measured the threshold levels for vibratory sensation induced by low-frequency noise under the condition that the subjects were allowed to perceive vibration in any part of the body, showed that the head was very sensitive to the vibratory sensation. In the present study, in which the head was designated as the body part that would perceive the vibration, we measured the threshold levels for experiencing “vibration perceived in the head” within the 16- to 80-Hz frequency range. The threshold levels for “vibration perceived in the head” were found to be very similar to the threshold levels measured in our previous study, which indicated the superior sensitivity of the head to vibratory sensation induced by low-frequency noise. A gap appeared around 40–50 Hz in the threshold level contour for “vibration perceived in the head”. In addition, the threshold levels for “vibration perceived in the head” increased when a subject wore an active noise cancelling earmuff. These results suggested the possibility that experiencing “vibration perceived in the head” was related to the pressure change in the ear.
2-MOSFET transresistor with extremely low distortion for output reaching supply voltages

Square-difference is a new and very attractive linearisation technique. It has been successfully used to implement large-signal MOS transconductors. A transresistor realised with only two MOS devices using the same technique is presented. A linearity error of less than +or-0.5% for the output swing form supply voltage V/sub SS/ to V/sub DD/ is achieved.
A nonpilot phase selector based on superimposed components for protection of double circuit lines

This paper gives details of a new phase-selection scheme for simultaneous phase-ground faults on both circuits of double circuit EHV transmission lines. Fast phase selection (within half a cycle) can be achieved by using the information contained within the fault transients. The theory is presented along with results obtained through simulations using EMTP. The scheme enables single pole tripping to be employed for simultaneous faults. The proposed scheme does not require communication between the two ends of the line. Limitations due to the low bandwidth of CVTs have not caused problems and the method has shown immunity to system noise.
Towards a performance‐oriented management for large‐ scale irrigation systems: case study, Rahad scheme, Sudan

The underperformance problem of large‐scale irrigation systems particularly in developing countries, has adversely affected levels of production of those systems. The fact that these irrigation systems are not managed in response to their performance has been identified as the main reason behind their malfunctioning. A performance‐oriented management approach is demonstrated here to help irrigation system managers take the right decisions, through continuous in‐season performance assessment. The Advanced Very High Resolution Radiometer satellite images of the National Oceanic and Atmospheric Administration (NOAA‐AVHRR) for the year 2000, complemented by water release data, were used to assess the performance of the Rahad irrigation scheme, Sudan (126 000 ha), on a 10‐day time step. The Surface Energy Balance Algorithm (SEBAL) was used to process the NOAA‐AVHRR images. The decisions on irrigation water allocation are guided by maps of the relative water supply and soil moisture content generated for the last time step. Further decision support could be realized using the performance indicators of the system and the soil water balance for the given time step.
Three-phase soft-switching inverter resonant with unique resonant snubbers

In this paper, a prototype of the auxiliary resonant commutated snubber circuit (ARCS) with a high frequency transformer power regeneration loop is described. This is a new soft switching topology developed for three phase voltage source soft-switching inverter, active power filter and reactive power compensator has the significant advantage of current rating reduction for auxiliary active switching devices. In addition, this paper presents a novel prototype of voltage-source soft switching space vector-modulated inverter with ARCS mentioned above, which is more suitable and acceptable for high-power utility interactive power conditioning, along with a digital control scheme. The steady-state operating analysis of ARCS has the remarkable features and the practical design procedure of this resonant snubber are illustrated on the basis of computer simulation analysis. The operating performance evaluations in the steady-state of this three phase voltage source soft switching inverter are discussed and compared with the three phase voltage source hard switching inverter.
Smart motor concept based on piezoelectric-magnetostrictive resonance

In this paper, we discuss a smart motor concept, in which piezoelectric and magnetostrictive actuators forming a resonance electric circuit function together to produce bidirectional motion of a steel drum. Resonance frequency is set at 4 KHz, thereby enabling operation of the motor at reasonably high frequencies.
Soft Material Modeling for Robotic Manipulation

This article presents a new approach of soft material modeling for robotic manipulation which combines physical modeling and tracking of a deformable object. We discuss the construction of geometrical models using MRI system and how to overcome the problem of variability. The physical model focuses on meat/muscles deformation. We introduce the principal criteria for choosing most appropriate models and discuss two modeling methods which suit our problem: mass spring model and tensor mass model. The introduction of anisotropy in these models allows results to be more realistic but evolves an increasing of computing time.
Identification of five important genes to predict glioblastoma subtypes

Abstract Background Glioblastoma (GBM), the most common and aggressive primary brain tumour in adults, has been classified into three subtypes: classical, mesenchymal, and proneural. While the original classification relied on an 840 gene-set, further clarification on true GBM subtypes uses a 150-gene signature to accurately classify GBM into the three subtypes. We hypothesized whether a machine learning approach could be used to identify a smaller gene-set to accurately predict GBM subtype. Methods Using a supervised machine learning approach, extreme gradient boosting (XGBoost), we developed a classifier to predict the three subtypes of glioblastoma (GBM): classical, mesenchymal, and proneural. We tested the classifier on in-house GBM tissue, cell lines, and xenograft samples to predict their subtype. Results We identified the five most important genes for characterizing the three subtypes based on genes that often exhibited high Importance Scores in our XGBoost analyses. On average, this approach achieved 80.12% accuracy in predicting these three subtypes of GBM. Furthermore, we applied our five-gene classifier to successfully predict the subtype of GBM samples at our centre. Conclusion Our 5-gene set classifier is the smallest classifier to date that can predict GBM subtypes with high accuracy, which could facilitate the future development of a five-gene subtype diagnostic biomarker for routine assays in GBM samples.
DRAFT OF PRIMARY TILLAGE IMPLEMENTS IN SANDY LOAM SOIL

Draft measurements were made for major primary tillage implements operating on sandy loam soil. Implements included three chisel plows of different shanks, an offset disk harrow, a moldboard plow and a disk plow. The effects of speed and depth upon the draft measurements were investigated. Soil classification, implement specifications and results of tillage experiments are reported. A general regression equation to predict draft of these implements was developed based on speed and depth. A significant increase in draft was observed for all the implements with an increase in depth. The values of specific draft of the six tillage implements tested were affected significantly by speed and depth also. The relationships between specific draft and speed are presented graphically.
Alternative splicing diversifies the heat response and evolutionary strategy of conserved Heat Shock Protein 90 in bread wheat (Triticum aestivum L.)

Background Crops are challenged by the increasing high temperature. Heat shock protein 90 (HSP90), a molecular chaperone, plays a critical role in the heat response in plants. However, the comprehensive response profiles of HSP90s are largely unknown.Results Using the newly released wheat reference sequence, we identified 18 HSP90s that were highly conserved and presented as triplets. Transcriptome analysis showed that the expression and transcriptional regulation of HSP90s displayed conserved trends among the three HSP90 homologs within a triplet. Based on our previous data generated by combining full-length single-molecule sequencing and Illumina short read sequencing, 126 isoforms of HSP90 were identified and each HSP90 comprised one to three major isoforms. Intriguingly, unlike the conserved transcriptional regulation of HSP90s , different alternative splicing events were characterized among major isoforms generated by HSP90s in triplets under heat stress. Furthermore, many heat-responsive alternative events were also characterized, especially in the early heat response when transcriptional regulation had not been initiated, and the alternative splicing regulation between HSP90s in the triplets was distinctly different.Conclusions This study shows that alternative splicing diversified the heat response of the conserved HSP90 gene family and highlighted the evolutionary divergence of polyploidy wheat.
Optimal selective harmonic elimination for cascaded H-bridge-based multilevel rectifiers

In medium-voltage medium- and high-power converters, it is of great importance to reach high-quality waveforms with low switching frequency. In active rectifiers, both converter's ac-side harmonics and grid preexisting distortions affect the quality of the input current, which according to the existing standards is restricted from both the individual harmonics amplitude and total harmonic distortion point of view. The well known selective harmonic elimination pulse-width modulation technique is able to completely eliminate certain harmonics from the ac-side voltage of the converter, and as a result increases the quality of the input current. In this study, an optimal selective harmonic elimination control strategy is introduced for cascaded H-bridge (CHB) rectifiers. By fully manipulating the ac-side waveform of the rectifier, maximum number of harmonics is eliminated for a specific number of switching transitions. Moreover, this method can be easily extended for any number of H-bridge cells and it uses only one lookup table for the whole interval of modulation index. Also using an effective voltage balancing technique, dc-link voltages are balanced to the reference value and the rectifier does not encounter any difficulty under equal or nonequal loads conditions. Using this method, the size of the bulky line-side filters can be reduced which leads to lower overall cost of implementation. To prove the feasibility of the proposed scheme, simulation and experimental results for a seven-level CHB-based rectifier are reported.
Camber deformation estimation of bridge crane and energy-consumption analysis

The crane is a mechanical device used to move materials in modern production. It plays a very important role in the national economy by greatly reducing labor intensity, improving production efficiency, and promoting social development as an indispensable auxiliary tool. The energy consumption of a crane is very large. There are several factors influencing energy loss, especially the camber of the girder, which is thought to compensate for the operation downwarping and, thus, decrease the energy consumption of trolleys with improved operation performance. Thus, analysis and calculation of the camber for crane girder is necessary in order to design a reasonable camber curve for the compensation of girder deformation by self-weight and loading. In this study, the deformation source is analyzed, and an estimation model of camber for the bridge crane is proposed. The camber is theoretically discussed and estimated with respect to self-weight, wheel pressure, and welding. As a result, the optimal corresponding camber curve that could compensate the deformations by self-weight, wheel pressure, and welding were obtained. Calculation of the energy consumption of the trolley is also presented. By using a 50-t, 31.5-m double girder crane as the research object, calculation of its camber and design of the reasonable camber curve for energy-saving were analyzed and demonstrated. These results may provide a design reference for girder camber curve and validation of the effectiveness of crane simulation modeling.
The noise measurement and analysis system of optoelectronic coupled devices based on virtual instrument

Recent research results show that the low-frequency noise of optoelectronic coupled devices has become an important sensitive parameter affecting its operational status and reliability. Screening optoelectronic coupled devices is an effective method by measuring the noise power spectrum. However, this method is based on the traditional Fourier analysis and spectrum analysis, its measuring speed is quite slow, and the method used to establish screening threshold is more complicated. In this paper, a set of measurement and analysis system based on virtual instrument is set up, which is composed of dual-channel low-noise pre-amplifiers, dynamic signal analyzer Agilent35670A and PC. According to the wavelet analysis method, the different kinds of noise can be identified. Through the GPIB control, separating the 1/f noise, the g-r noise and the burst noise is performed and the noise analysis process is finished by the LabVIEW procedure. Experimental results demonstrate that this system can not only improve reliability of screening device to satisfy higher reliability and quality requirement, but also the testing and analyzing process is finished faster and more accurately than the traditional method.
Examination and comparison of the critical factors of total quality management (TQM) across countries

Various empirical studies have been published about the critical success factors of TQM extracted using a survey approach in a particular country or region. Several studies compared critical TQM factors across different countries, but overall there has been little attempt in the literature to analyse the TQM factors within the context of a contingency approach. Quality gurus such as Deming and Juran contend that quality management concepts are universally applicable, but this is only their personal prescriptions and must be examined empirically. This study analysed and compared 76 empirically validated TQM factors and their impact on various performance measures across countries. The findings showed that top management commitment and leadership, customer focus, information and analysis, training, supplier management, strategic planning, employee involvement, human resource management, process management, teamwork, product and service design, process control, benchmarking, continuous improvement, employee empowerment, quality assurance, social responsibility, and employee satisfaction were the most commonly extracted factors across these 76 studies.
Simulation of the Mechanism of Insect Bionic Compound Eye Super-Resolution Restoration Technology of Copper Strip Surface Defect Images

In view of the problem that in traditional copper strip surface defect inspection process, the low resolution of the collected images will greatly decrease the accuracy of the detect defects, through the study of biological bionic imaging technology, combined with insect bionic compound eye imaging technology, this paper proposes a visual simulation insects bionic mechanism of the copper strip surface defect image super-resolution reconstruction technique. Through the study of biological bionic imaging technology, and take the advantage of insect compound eye visual imaging mechanism, this paper uses multiple linear array CCD image sensors to collect images aimed at getting defect images in all perspectives. The actual input images are restored by the method of super-resolution reconstruction using the sample library to improve the resolution of the image. Through the large amount of experiments of different copper strip surface defect images, and then compare the results, it can be seen that taking this papers method to dispose the defect images, will improve the images PSNR value, and has greatly improved the images quality, which will do good to improve the accuracy of the copper strip surface defect detection.
Systems integration using evolutionary algorithms

This paper describes an approach to the systems integration problem using multiobjective genetic algorithms. An architecture for evolutionary systems integration is presented and the component parts discussed. An example of an aircraft gas turbine engine control system design problem is shown demonstrating aspects of the proposed architecture that allow many design objectives from different disciplines to be considered in parallel. Potential closed-loop control configurations are evaluated and compared against one another within an optimization framework. As a result of this analysis, it is shown how informed decisions may be made regarding the nature of the control employed, acceptable performance margins and elements of the engine design.
Research Status and Development Trend of Electromagnetic Defect Detection Logging

Electromagnetic defect detection logging can measure multilayer pipeline and provide the information of casing defect and the remaining metal thickness, is the hot spot of the casing defect detection technology. This paper elaborates the advantages and disadvantages of electromagnetic defect detection logging and the present instrument situation, compares technical indexes of several new electromagnetic casing defect detection instruments, summarizes the latest research status, points out the problems existed in current researches and the development trend combining with the instrument index and theory research.
A sparse signal representation-based image denoising algorithm for uncooled MEMS IRFPA

An uncooled thermal detector array with low NETD is designed and fabricated using MEMS bimaterial microcantilever structures that bend in response to thermal change. The IR images of objects obtained by these FPAs are readout by an optical method. For the IR images, processed by a sparse representation-based image denoising and inpainting algorithm, which generalizing the K-Means clustering process, for adapting dictionaries in order to achieve sparse signal representations. The processed image quality is improved obviously. Great compute and analysis have been realized by using the discussed algorithm to the simulated data and in applications on real data. The experimental results demonstrate, better RMSE and highest Peak Signal-to-Noise Ratio (PSNR) compared with traditional methods can be obtained. At last we discuss the factors that determine the ultimate performance of the FPA. And we indicated that one of the unique advantages of the present approach is the scalability to larger imaging arrays.
The Research on Special Printing Effects Based on Gray Component Replacement

The data of CMY ink’s gray balance are got to define the replacement relationship between CMY and K ink by experiment with the digital printer. A special image was got by using CMY and K ink according to the principle of Gray Component Replacement (GCR). The image will have two different appearances by using the spectral response properties of CMY and K ink under visible light and infrared light．This kind of image can achieve the purpose of anti-counterfeiting printing.
A Study to Improve the Spatial Data Design of Korean Reach File to Support TMDL Works

In order to manage water quality efficiently and systematically through TMDL (Total Maximum Daily Load), the demand for the construction of spatial data for stream networks has increased for use with GIS-based water quality modeling, data management and spatial analysis. The objective of this study was to present an improved KRF (Korean Reach File) design as framework data for domestic stream networks to be used for various purposes in relation to the TMDL. In order to achieve this goal, the US EPA`s RF (River Reach File) was initially reviewed. The improved design of the graphic and attribute data for the KRF based on the design of the EPA`s RF was presented. To verify the results, the KRF was created for the Han River Basin. In total, 2,047 stream reaches were divided and the relevant nodes were generated at 2,048 points in the study area. The unique identifiers for each spatial object were input into the KRF without redundancy. This approach can serve as a means of linking the KRF with related database. Also, the enhanced topological information was included as attributes of the KRF. Therefore, the KRF can be used in conjunction with various types of network analysis. The utilization of KRF for water quality modeling, data management and spatial analysis as they pertain to the applicability of the TMDL should be conducted.
FE AND SIMPLIFIED MODELS OF STEEL PLATE SHEAR WALL

A nonlinear finite-element model for steel plate shear walls was developed and then tested using the as-built dimensions and measured material properties of a large-scale four-story test specimen. When a nonplanar initial plate geometry and measured residual stresses were included in the model, it gave an excellent prediction of the load versus deflection response. Furthermore, a good prediction of the ultimate strength of the shear wall was obtained even when the second-order effects were neglected. Another analytical method is presented that is useful for the prediction of monotonic behavior. In this relatively simple plane frame model, the infill plate is represented as a series of tension strips. The model gave a good prediction of the behavior of the four-story shear wall specimen. An associated hysteresis model also gave good predictions of observed cyclic behavior. The models account for inelastic behavior in both the infill panels and the frame members.