Miracle-dz/UniFAR-FTUs huggingface dataset:
APPLICABILITY OF EFFECTIVE REGION TECHNIQUE IN ULTRASONIC IMAGING BY AWS-SAFT

1Student member of JSCE, Graduate Student, Dept. of Civil Eng., Tokyo Institute of Technology (2-12-1-W8-301, Ookayama, Meguro-ku, Tokyo 152-8550, Japan) E-mail: yamatox20a@yahoo.co.jp 2Member of JSCE, Assistant Professor, Dept. of Mechanical and Environmental Informatics, Tokyo Institute of Technology (2-12-1-W8-301, Ookayama, Meguro-ku, Tokyo 152-8550, Japan) E-mail: furukawa.a. aa@m.titech. ac.jp 3Member of JSCE, Professor, Dept. of Mechanical and Environmental Informatics, Tokyo Institute of Technology (2-12-1-W8-302, Ookayama, Meguro-ku, Tokyo 152-8550, Japan) E-mail: hirose.s. aa@m.titech. ac.jp
Beanspruchungen in dicken Bodenplatten infolge des Abfließens der Hydratationswärme

Als Grundlage für die Erstellung eines mechanisch fundierten Bemessungskonzeptes zur Begrenzung der Rissbreite infolge des Abfließens der Hydratationswärme in sehr dicken Betonbauteilen wurde ein Messprogramm im Zuge des Neubaus der Schleuse Sülfeld‐Süd durchgeführt. Primäres Ziel dieser Untersuchung war die Beschreibung der tatsächlichen Beanspruchung in dicken Betonbauteilen während der Betonerhärtung. Hierzu wurde die Zuverlässigkeit messtechnischer Größen durch eine Kompatibilitätsprüfung überprüft. Anschließend wurden die Messgrößen für die Verifikation eines 3D‐FE‐Modells verwendet. Neue Erkenntnisse zum Bauteilverhalten konnten gewonnen werden. In diesem Beitrag werden die wesentlichen Ergebnisse zusammenfassend erläutert.
Accurate measurement of low signal-to-noise ratios using a superheterodyne spectrum analyzer

A modern superheterodyne spectrum analyzer measures RF power by the process of envelope detection, log amplification, and video averaging. This process is known to give an accurate power measurement for a noise-free sinusoidal tone signal and an error of 2.5 dB for additive white Gaussian noise (AWGN). For a tone combined with AWGN, the measurement of noise power N together with signal power S results in the need for two correction factors: one to compensate for the error in the measurement of combined signal and noise power, and another to take into account (on the logarithmic decibel scale) the subtraction of N from (S+N)/N to get the true signal-to-noise ratio (SNR identical to S/N). The first factor ranges from 0 to 2.5 dB; the second factor is >or=3 dB for SNR/0 dB. The results are extended to the measurement of SNR for phase-shift-keyed (PSK) digital communications signals combined with AWGN. >
On The Fractional Domain Analysis of HP TiO2 Memristor Based Circuits with Fractional Conformable Derivative

Abstract For the first time, the physical memristor-based circuits i.e., HP TiO2 memristor-based circuits, of both series and parallel structures, have been extensively analyzed in the fractional domain by means of the state of the art yet simple fractional conformable derivative-based differential equations. Different outcome from the hypotheticalmemory element-based previous researches have been obtained. The dimensional consistencies of the fractional derivatives have also been concerned. The often-cited Joglekar’s window function has been adopted for modelling the boundary effect of the memristor and adding more nonlinearity close to the bounds of the memristor’s state variable. The formulated fractional differential equations have been solved and the related electrical quantities have been determined. The computational simulations have been performed. The stability analyses of both circuits have also been presented where it has been mathematically verified that only these HP TiO2 memristor-based circuits are stable always due to the boundary effect which does not exist in hypothetical elements assumed in those previous works. We also point out that that only those HP TiO2 memristor-based circuits of order higher than 3 are capable to exhibit the complex dynamics as such memristor lacks the local activity.
A Sensor-Based Robotic Line Scan System With Adaptive ROI for Inspection of Defects Over Convex Free-Form Specular Surfaces

In this paper, we present a novel sensor-based system to perform defect inspection tasks automatically over free-form specular surfaces. The inspection procedure is performed by a robotic manipulator equipped with a line scanner system. Taking the geometric and optical parameters into consideration, our algorithm computes a flexible scanning path. Based on a mesh model, the system segments the convex surface into areas with similar curvatures, then adaptively adjusts the line sensor’s scanning range to ensure the complete coverage of the surface. We consider the scanning efficiency through constrained optimization. To align the computed scanning path with the specular object, a real-time workpiece localization algorithm in a coarse-to-fine manner is developed. Our control framework synchronizes the motion of the manipulator and the acquisition of the line scanner for robotic inspection. We also provide an image processing pipeline for automatic defect detection. To validate the proposed formal methodology, we report a detailed experimental study with the developed robotic inspection prototype.
Coupling adipose tissue architecture and metabolism via cytoophidia

Tissue architecture determines its unique physiology and function. How these properties are intertwined has remained unclear. Here, we show that the metabolic enzyme CTP synthase (CTPS) form filamentous structures termed cytoophidia along the adipocyte cortex in Drosophila adipose tissue. Interestingly, loss of cytoophidia, whether due to reduced CTPS expression or a point mutation that specifically abrogates its polymerization ability, leads to downregulated Collagen-Integrin signaling, weakened adipocyte adhesion, and defective adipose architecture. Strikingly, CTPS specifically binds with Integrin subunit α2, which influences Integrin function and Collagen IV deposition. cytoophidia promote Collagen IV mRNA expression and thus its extracellular deposition to strengthen adipocyte adhesion. Remarkably, Collagen IV-Integrin signaling reciprocally regulates cytoophidium formation at a post-translational level. Together, we demonstrate that a positive feedback signaling loop containing both cytoophidia and Integrin adhesion complex couples tissue architecture and metabolism in the fly adipose.
Use of Continuous-Wavelet Transmissibility for Structural Operational Modal Analysis

AbstractOperational modal analysis is a challenging task to deal with output-only vibration measurements contaminated by noise. This paper proposes a new method for operational modal identification of a linear system using continuous-wavelet transmissibility (CWTR) to make full use of the advantages of operational transmissibility measurements and wavelet transform. A new theorem on limits is mathematically proved, for which the proposed CWTR at different scales are independent of stationary excitations acting on the structure at the system poles. With such a unique feature, the operational modal frequencies and mode shapes can be extracted by combing different CWTRs at numerous wavelet scales with different transferring outputs. The applicability of the method is numerically verified by a 4-story frame subjected to random forces. The effects of wavelet functions and scale discretion step have been investigated. The real case application of a concrete-filled steel tubular arch bridge tested in the field u.
Performance of scaffold frame shoring under pattern loads and load paths

This research examines the behavior of a large full-scale scaffold frame shoring subjected to pattern loads with various load paths. In this test program, sand bags were placed on the top of the scaffold frame shoring to simulate the weight of fresh concrete during construction. The routes of placing sand bags are based on the paths of placing fresh concrete in actual construction sites. The test results show that the axial tube forces of scaffolds just below the location of a newly placed sand bag increase sharply. In addition, the axial tube forces do not change significantly when sand bags are placed at other positions on formwork during the load path. It is shown that the effect of influence surfaces on the scaffold frame shoring is not apparent during the placing of sand bags. In addition, the maximum axial tube force of a scaffold subjected to different load paths is very close to the maximum axial tube force of this specific scaffold after the completion of the loading path. Thus, a typical uniform load as used for an applied concrete load in design can replace the actual fresh concrete pattern load during construction. Both lateral forces acted at the top of a scaffold frame shoring and the sidesway of scaffolds are small during tests. The regions of some larger axial forces in the scaffold frame shoring vary in different load paths.
Robust Method for Automated Segmentation of Frames with/without Distress from Road Surface Video Clips

Automated processing of road surface video clips captured for road condition assessment is necessary to detect the existence of road surface distress in less time and efforts. This paper presents a robust method for automated segmentation of frames with/without distress from road surface video clips captured by existing camera based imaging systems without any artificial lighting systems. The proposed method is based on an adaptive thresholding technique and user defined decision logic for automated detection of road surface distresses out of such video clips. This method has been implemented in a Windows Vista environment with the help of Visual Studio 2008 and OpenCV library and tested on 31 road surface video clips of Indian Highways. The results show that this method can segment a road surface video clip automatically into two categories of video frames, namely frames with distress and frames without distress, with accuracy up to 96% while saving a considerable amount of time and manpower resources.
Application of Electrical Tomography Imaging Using Machine Learning Methods for the Monitoring of Flood Embankments Leaks

This paper presents an application for the monitoring of leaks in flood embankments by reconstructing images in electrical tomography using logistic regression machine learning methods with elastic net regularisation, PCA and wave preprocessing. The main advantage of this solution is to obtain a more accurate spatial conductivity distribution inside the studied object. The described method assumes a learning system consisting of multiple equations working in parallel, where each equation creates a single point in the output image. This enables the efficient reconstruction of spatial images. The research focused on preparing, developing, and comparing algorithms and models for data analysis and reconstruction using a proprietary electrical tomography solution. A reliable measurement solution with sensors and machine learning methods makes it possible to analyse damage and leaks, leading to effective information and the eventual prevention of risks. The applied methods enable the improved resolution of the reconstructed images and the possibility to obtain them in real-time, which is their distinguishing feature compared to other methods. The use of electrical tomography in combination with specific methods for image reconstruction allows for an accurate spatial assessment of leaks and damage to dikes.
SSCS: A Stage Supervised Subtyping System for Colorectal Cancer

Colorectal cancer (CRC) is heterogeneous and deadly, and the exact cause of the disease is unknown. Recent progress indicated that CRC is not a single disease, but a group of diseases with significant heterogeneity. Three previous CRC subtyping systems: microsatellite instability (MSI), consensus molecular subtypes (CMS), and tumor-node-metastases (TNM) stage were evaluated for their molecular and clinical implications. Results suggested that the MSI and CMS systems are prognostic and predictive mostly in early-stage CRC. As the stage remains an influential factor for CRC subtype analysis, we developed a new subtyping system named stage supervised CRC subtypes (SSCS), in order to better stratify CRC biologically and clinically. Our subtyping system can be used to classify CRC patients into five subtypes (SSCS1-5). SSCS1 was found to have the highest frequency of MSI-H cases compared to the remaining four subtypes. SSCS2 had the most favorable prognosis, whereas the worst prognosis was seen in SSCS4. SSCS3 had cell cycle and metabolism-related gene sets upregulation, and SSCS5 subtype was enriched with amplicon-associated gene sets. Moreover, tumor-infiltrating fibroblast was found to be predictive for poor disease-free survival (DFS) only within the SSCS4 subtype. Conventional dendritic cells (cDC), on the contrary, were associated with favorable DFS in the SSCS3 subtype. Our study provides a new subtyping system SSCS, which can be used for better stratify CRC patients compared to current standards. Further exploration of the subtype-specific cell types has the potential to be novel therapies for CRC.
Renewable energy potentials and Production in Nigeria

Providing energy to rural and urban areas in Nigeria, as in many developing countries has proved to be a great challenge. With increasing population, the pressures on the infrastructure for the supply of conventional energy resources will continue to increase. Economic growth, rapid industrialization and high standard of living of theglobal population demand more and more energy in different forms. Since the quantity of available energy from conventional resources shrinks day-by-day, development of newer or renewable energy technologies and improvement of conventional technologies become necessary to meet the energy demand in the future. The demand for energy in Nigeria can be met by this method as most of the demand from the National grid can be reduced considerably because several mega-watts of energy can be generated from renewable source. Currently, solar, wind, biomass, etc are in abundance all year round in Nigeria and largely untapped. For an energy source to be renewed, it means that its harvesting, conversion and use would occur in a sustainable manner and avoid any negative impacts on the people and natural environment. Renewable energy (RE) reality in Nigeria will be dependent on adequate government policy, financial and technical capability and public acceptance for their installation. Renewable energy (RE) resources abound in Nigeria but have not been fully exploited. This presentation examines the state of energy production and utilization; discusses the potentials for renewable energy and major obstacles militating against their developments.
L2-Stable Speed Estimator for BLDCM Servo System Applications

This study aims to solve the brushless DC motor speed estimation problem using Hall sensor measurements without dependence of plant parameter and load information. As the first feature, the proposed solution involves a combination of linear (in the Luenberger observer form) and nonlinear subsystems without motor parameter information for the estimation algorithm and the gains. The second feature is showing that the proposed estimator makes the error dynamics $\mathcal {L}_{2}$ -stable, assigning the desired energy and diagonal damping to the closed-loop system. The superiority of the proposed solution is verified using a 420W motor-generator hardware testbed for the current and speed control operation modes.
PROCEEDINGS of the HUMAN FACTORS SOCIETY-26th ANNUAL MEETING-7982 COLOR DISPLAY FORMATS I N THE COCKPIT: WHO NEEDS THEM?

The introduction of color cathode ray tubes into a i r c r a f t crewstations has reemphasized the debate on the value of color codes as a performance aid. This paper discusses the value of color i n electro-optical displays which use computer generated imagery formats. svstems operators because of the information rich formats which they w i l l be utilizing The conclusion is that color displays w i l l be needed by airborne i n performing their mission related tasks.
The Effect of Filtering on Sparse Representation-Based Image Reconstruction

Imaging using sensors is a promising technique in many cases and usually uses a limited number of sensors. The limited number of sensors results in incomplete visibility measurement. So, the incomplete visibility measurement causes image quality to degrade. The existing method to overcome this problem is the sparse representation-based reconstruction by applying $\ell_{1}$ -norm. In this paper, we deliver the use of filtering on sparse representation-based image reconstruction, especially in the case of an image that experiences sparse sampling in frequency. This filtering has the advantage of improving the low-resolution (LR) image due to the sparse sampling. In the training process, we use 80 high-resolution (HR) images to build an overcomplete dictionary. While in the reconstruction, we verify eight low-resolution images. Compared to $\ell_{1}$ -norm without filtering, the $\ell_{1}$ -norm with filtering is capable of producing RMSE and PSNR improvement. This improvement also appears in the reconstructed image that is better visually when using the $\ell_{1}$ -norm with filtering.
Update article Sensorimotor transformations in cortical motor areas

A central problem in motor research has been to understand how sensory signals are transformed to generate a goal-directed movement. This problem has been formulated as a set of coordinate transformations that begins with an extrinsic coordinate frame representing the spatial location of a target and ends with an intrinsic coordinate frame describing muscle activation patterns. Insight into this process of sensorimotor transformation can be gained by examining the coordinate frames of neuronal activity in interconnected regions of the brain. We recorded the activity of neurons in primary motor cortex (M1) and ventral premotor cortex (PMv) in a monkey trained to perform a task which dissociates three major coordinate frames of wrist movement: muscle, wrist joint, and an extrinsic coordinate frame. We found three major types of neurons in M1 and PMv. The first type was termed ‘extrinsic-like’. The activity of these neurons appeared to encode the direction of movement in space independent of the patterns of wrist muscle activity or joint movement that produced the movements. The second type was termed ‘extrinsic-like with gain modulation’. The activity of these neurons appeared to encode the direction of movement in space, but the magnitude (gain) of neuronal activity depended on the posture of the forearm. The third type was termed ‘muscle-like’ since their activity co-varied with muscle activity. The great majority of the directionally-tuned neurons in the PMv were classified as ‘extrinsic-like’ (48/59, 81%). A smaller group was classified as ‘extrinsic-like with gain modulation’ (7/59, 12%). In M1, the three types of neurons were more equally represented. Our results raise the possibility that cortical processing between M1 and PMv may contribute to a sensorimotor transformation between extrinsic and intrinsic coordinate frames. Recent modeling studies have demonstrated the computational plausibility of such a process. # 2003 Elsevier Science Ireland Ltd and the Japan Neuroscience Society. All rights reserved.
Experimental methods with flux-compression generators

This paper concludes a short series that has presented an outline account of the physics and technology associated with flux-compression generators. The performance of these devices is characterised by a number of distinct parameters, both electromagnetic and explosive, and the paper explains the main experimental techniques and instrumentation that have been developed for their measurement during the last forty years. A range of electromagnetic and hydrodynamic transducers is presented, with the various advantages and drawbacks being highlighted. The paper concludes with a description of an ideal flux-compressor laboratory and indicates a typical timetable for an experimental programme.
Multi-Step Crystallization and Chemical Evolution of Sodium Yttrium Fluoride

Two-step crystallization mechanisms based on spinodal decomposition followed by nucleation are commonly observed both in the laboratory and in nature. While this pathway may require chemical reactions, subsequent nucleation and growth are often considered as separate, discrete events from the reaction itself. Recent work has also shown a distinct intermediate step involving the formation of an amorphous aggregate. Here we report a novel four-step mechanism in the aqueous synthesis of sodium yttrium fluoride involving 1) the segregation of aqueous ions into a dense liquid phase, 2) the formation of an amorphous aggregate, 3) nucleation of a cubic YF3 phase, and 4) subsequent solid-state diffusion of sodium and fluoride ions to form a final NaYF4 phase. The final step involves a continuous, gradual change of the solid phase’s chemical stoichiometry from YF3 toward NaYF4. Unlike previously studied nucleation and growth mechanisms, the stoichiometry of the final solid phase evolves throughout the crystallization process rather than being determined at nucleation. This novel four-step mechanism provides a new perspective into the nucleation and growth of many other crystalline materials given the ubiquity of nonstoichiometric compounds in nature.
Formulation Of Blue Ocean Strategy Developing A Bamboo Small Business In Binjai City

The research objective is to analyze the Blue Oceans Strategy method approach to improve strategy development for the Small and Medium Bamboo Industry in Binjai City. Woven crafts are one of the most abundant businesses in the SME sector, both rattan and bamboo handicrafts have dominated the activities of SMEs in Binjai City. The woven crafts are spread in 5 (five) sub-districts in Binjai City. Their business has grown more than 15 years ago, they have participated in many exhibitions or workshops outside the city to national. The fluctuating development of woven crafts is due to the large demand for woven bamboo and rattan goods. The data processing and analysis method used was through a post-positivism research approach, namely qualitative research. The method of analysis in this study uses a Structural Equation Modeling (SEM) approach, in forming a strategy for developing SMEs and Bamboo cooperatives with the ocean strategy and blue ocean strategy models in Binjai City. The competitive strategy used by the Small and Medium Shell Industry in Binjai City at this time is to identify competitive factors in the industry which consist of product uniqueness, a touch of art, done in detail, proximity to sources of raw materials, strategic location, availability of labor, Creativity, Prices are not fixed on market prices, Can be used as souvenirs, Skills and skills of employees, Attractiveness and impact after participating in exhibitions, Sensitivity to market choices, Organizational commitment, Work environment, Availability of online order facilities, Experience and managerial skills, Product orders completed on time.