Miracle-dz/UniFAR-FTUs huggingface dataset:
Submodule Capacitance Monitoring Strategy for Phase-Shifted Carrier Pulsewidth-Modulation-Based Modular Multilevel Converters

Capacitance monitoring is one of the important issues for a modular multilevel converter (MMC) to obtain high reliability. Since pulsewidth modulation is usually implemented in the field-programmable gate array (FPGA), produced precise switching states in the FPGA cannot be directly accessed by the top digital signal processor (DSP) controller, which poses challenges to the existing capacitance monitoring methods based on precise switching states of the MMC. This article presents a submodule (SM) capacitance monitoring strategy for the MMC with a simple algorithm, where the fundamental frequency components of the SM capacitor voltage and current are extracted to estimate the SM capacitance based on reference, but not the precise switching states. The proposed scheme not only simplifies the implementation and calculation, but also avoids control limitations and heavy communication burden between the DSP and the FPGA. Besides, the proposed strategy effectively eliminates noise impact from sensors and increases accuracy. Simulation and experimental studies are implemented, and the results confirm the effectiveness of the proposed strategy.
Monetary Policy Changes and Inflationary Pressure in Nigeria

Achieving price stability has continued to be one of the major macroeconomic policy objectives of successive governments in Nigeria. This is because, inflation rate, as measured by changes in consumers price index (CPI), has continued to be on the increase despite the implementation of monetary policy measures to control it. Therefore, the main objective of this study is to analyze the impact of monetary policy changes on inflationary pressure in Nigeria. This is to identify whether inflationary pressure in Nigeria is a monetary phenomenon or not. Annual time series data on changes in inflation rate, broad money supply, net domestic credit, monetary policy rate, real GDP growth rate (real output) and exchange rate were collected from Central Bank of Nigeria (CBN) Statistical Bulletin, 2018 issue. To analyze the data, Autoregressive Distributed Lag (ARDL) model, applying bounds test, was adopted. The empirical results show that monetary variables (broad money supply, net domestic credit, monetary policy rate) have insignificant impact on inflation both in the short run and long run respectively. Real output has the expected negative sign and its impact on inflation is significant both in the short run and long run. This implies that inflation in Nigeria is more of output than monetary phenomenon. It is recommended that Nigeria should invest more in agricultural sector since more output is sourced from the sector. This will help to reduce food (price) inflation in the country.
Synthesis of Large Alias-Free Field-of-View Linear Arrays for Synthetic Aperture Interferometric Radiometers

The alias-free field-of-view (AF-FOV) is inversely proportional to the spatial-frequency sampling spacing in the synthetic aperture interferometric radiometers. When the physical size of the antenna elements is large relative to the wavelength, the AF-FOV is limited. This article focuses on extending the AF-FOV from the perspective of array design. By introducing the sampling spacing-compression factor, we define a type of large AF-FOV linear array (LFOVLA) that can generate consecutive spatial-frequency samples with sampling spacing less than the minimum antenna spacing. A simulated annealing (SA)-based algorithm is presented to generate a double AF-FOV linear array (DFOVLA), which has the advantage of generating lower redundancy DFOVLA and reducing time cost compared with the previous method. A general pattern method is also proposed to seek a large DFOVLA directly. The DFOVLA configurations below 26 elements are given. The simulation results show that the DFOVLA has a larger AF-FOV than the traditional array in the synthetic aperture interferometric radiometers.
Unrecognized News from the Filter Model and Review of the Spence Model

The objective of this article is to cross a line of reflection which makes it possible to trace more ‎solid legibility in what is similar to the explanation of the choices of educational investments ‎and the regulation of the labor market. ‎ This analysis aims to propose a new approach which adopts as a reference the role of aptitude ‎in determining the future of the labor market, in terms of individual decisions to invest in ‎training and terms of expected productivity about of the signal issued by the diploma. ‎The methodology mainly refers to the signal theory and filter theory. In our study, first, we ‎will integrate a new concept to better analyze the different forms of filter (productive and ‎non-productive) on which collective productivity, individual productivity, and profitability ‎largely depend. Second, we reformulate Spence's model by integrating two levels of ‎discrimination and three groups. This breakdown becomes more complex, but it allows a better ‎understanding of the choices, the gains, as well as the balance on the labor market. ‎The re-examination of the filter theory exposes the idea of regularizing the university and ‎market system close to the abilities of individuals. The demonstrations also show that the ‎signal effect does not own its assets, it depends on other signals. ‎The results of this treaty are applicable in terms of rationalizing the policies of funds intended ‎for training, guiding the functioning of the labor market as well as tackling the problem of ‎unemployment. ‎ Codes JEL: E24, E32, G12, J23. Keywords: Filter; signal; gains; balance; labor market; diploma DOI: 10.7176/JESD/11-16-21 Publication date: August 31 st 2020
Spatiotemporal Remote-Sensing Image Fusion With Patch-Group Compressed Sensing

Generally, it is difficult to acquire remote sensing data whose resolution is both highly spatial and highly temporal from a single satellite. In this paper, a novel compressed sensing (CS)-based spatiotemporal data fusion (CSBS) method is proposed to synthesize such high-spatiotemporal resolution images. With CSBS, a low-spatial resolution remote senisng image is treated as a sampling of the high-spatial resolution image. The down-sampling in the spatial domain of images is modeled as a CS measurement matrix in CSBS. Moreover, continuity constraints in the temporal domain are also introduced into the CSBS object function for CS reconstruction. To better represent the intrinsic features of the data, images are segmented into many small patches and clustered into several groups via K-means. Dictionary training, measurement matrix identification, and high-resolution prediction are carried out group-by-group. Based on features learned from patch groups, the transformational relationship between spatial-temporal images having different resolutions are easily identified. Compared with previous compressed sensing and dictionary learning methods, CSBS is characterized by: (1) the patch-group stratagem in dictionary learning and measurement matrix learning; (2) the combination of continuity in temporal domain and sparsity in spatial domain. The proposed method is then comprehensively compared with different methods using land-surface reflectance data. Experiment results validate the effectiveness and advancement of CSBS for spatiotemporal data fusion.
Desarrollo de un modelo matemático, cinemático y dinámico con la aplicación de software, para modificar el funcionamiento de un dron, para que este realice monitoreo automático

El trabajo de investigacion presenta el modelo matematico y dinamico de un quadcopter UAV (vehiculo aereo no tripulado). Este modelo simula el comportamiento mas cercano a un rendimiento real, dentro de un medio que presenta todo tipo de perturbaciones. Para desarrollar las matematicas y modelar el quadcopter, se lo ha considerado un objeto rigido con movimientos de traslacion y rotacion; En cuanto a la parte dinamica, se utilizan las ecuaciones de Euler-Lagrange, de esta manera es posible adquirir la funcion de transferencia expresada en el modelo de quadcopter dinamico. La dinamica de rotacion del UAV se define por los momentos mas importantes de inercia, ubicados en el centro de masa del vehiculo. Se espera que tenga un buen rendimiento frente a perturbaciones externas como rafagas de viento, masas variables, que crean inestabilidad durante el vuelo, y especialmente en el caso de un clima tan fortuito en el entorno en el que se realizara el vuelo. Entre las amplias posibilidades que se encuentran hoy en dia, los UAV son capaces de llevar a cabo cualquier tarea programada con la ayuda de software y hardware para la automatizacion asociada en la IMU UAV, accionada por motores electricos (tipo Brushless). Para este trabajo se ha elegido el ARDRONE 2.0. El fabricante permite desarrollar aplicaciones de controladores externos que pueden asociarse a la operacion y la dinamica del modelo matematico desarrollado. Los sistemas de control para seguir el camino del quadcopter son: un controlador PID y un algoritmo de controlador de modo deslizante para altitud, actitud y posicion.
Design of Unsigned Approximate Hybrid Dividers Based on Restoring Array and Logarithmic Dividers

Approximate computer arithmetic has been extensively studied due to its advantages to further reduce power consumption and increase performance at reduced accuracy. Although a number of approximate adders and multipliers have been studied, only a few approximate dividers have been proposed. A logarithmic divider (LD) has low complexity and accuracy, while an exact array divider (EXD) has a high complexity. Therefore, in this article, an approximate hybrid divider (AXHD) is proposed. It takes advantage of both LD and EXD to achieve a tradeoff between hardware performance and accuracy. Exact restoring divider cells are used to generate the most significant bits (MSBs) of the quotient for attaining a high accuracy while the other quotient digits are generated by using a LD as an approximate scheme to improve figures of merit such as power consumption, area and delay. To further save hardware resources, a so-called eliminated approximate hybrid divider (E-AXHD) based on AXHD is also proposed. In this improved design, a reduced width divider is used to replace the EXD in AXHD. Specifically, for a 16-by-8 design, <inline-formula><tex-math notation="LaTeX">$n/(n+1)$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>n</mml:mi><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo>+</mml:mo><mml:mn>1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="liu-ieq1-3022290.gif"/></alternatives></inline-formula> array division is used to replace the <inline-formula><tex-math notation="LaTeX">$n/8$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>n</mml:mi><mml:mo>/</mml:mo><mml:mn>8</mml:mn></mml:mrow></mml:math><inline-graphic xlink:href="liu-ieq2-3022290.gif"/></alternatives></inline-formula> array division <inline-formula><tex-math notation="LaTeX">$(n<8)$</tex-math><alternatives><mml:math><mml:mrow><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo><</mml:mo><mml:mn>8</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="liu-ieq3-3022290.gif"/></alternatives></inline-formula>. The proposed AXHD and E-AXHD are evaluated and analyzed using error and hardware metrics. The proposed designs are also compared with EXD, LD and previous approximate dividers. The results show that the proposed designs outperform previous approximate dividers by considering both energy and error. The proposed hybrid dividers are of particular interest for error tolerant applications such as image processing and machine learning.
Efficient Summary Reuse for Software Regression Verification

Software systems evolve throughout their life cycles. Many revisions are produced over time. Verifying each revision of the software is impractical. Regression verification suggests reusing intermediate results from the previous verification runs. This paper studies regression verification via summary reuse. Not only procedure summaries, but also loop summaries are proposed to be reused. This paper proposes a fully automatic regression verification technique in the context of CEGAR. A lazy counterexample analysis technique is developed to improve the efficiency of summary reuse. We performed extensive experiments on two large sets of industrial programs (3,675 revisions of 488 Linux kernel device drivers). Results show that our summary reuse technique saves 84 to 93 percent analysis time of the regression verification.
Bioactive Compounds from Marine Sources

Fucoidan is a class of biopolymers mainly found in brown seaweeds. Due to its diverse medical importance, homogenous supply as well as a GMP-compliant product is of a special interest. Therefore, in addition to optimization of its extraction and purification from classical resources, other techniques were tried (e.g., marine tissue culture and heterologous expression of enzymes involved in its biosynthesis). Results showed that 17.5% (w/w) crude fucoidan after pre-treatment and extraction was obtained from the brown macroalgae F. vesiculosus. Purification by affinity chromatography improved purity relative to the commercial purified product. Furthermore, biological investigations revealed improved anti-coagulant and anti-viral activities compared with crude fucoidan. Furthermore, callus-like and protoplast cultures as well as bioreactor cultivation were developed from F. vesiculosus representing a new horizon to produce fucoidan biotechnologically. Moreover, heterologous expression of several enzymes involved in its biosynthesis by E. coli (e.g., FucTs and STs) demonstrated the possibility to obtain active enzymes that could be utilized in enzymatic in vitro synthesis of fucoidan. All these competitive techniques could provide the global demands from fucoidan.
Large-Area, Flexible SnS/Paper-Based Piezoresistive Pressure Sensor for Artificial Electronic Skin Application

This report demonstrates the fabrication of SnS/paper based low-cost and flexible pressure sensor, employing a facile solvothermal synthesis followed by vacuum filtration, for artificial electronic skin and touchpad applications. The fabricated pressure sensor displayed a high sensitivity of 3.18 kPa<inline-formula> <tex-math notation="LaTeX">$^{- {\sf 1}}$ </tex-math></inline-formula> and a response time <inline-formula> <tex-math notation="LaTeX">$\sim 300$ </tex-math></inline-formula> msec. Inspired by the high value of sensitivity and an appreciable flexibility, a large-area pressure sensor array (<inline-formula> <tex-math notation="LaTeX">${\sf 3} \times {\sf 3}$ </tex-math></inline-formula>) was fabricated and integrated onto a human arm for demonstrating real-time applications. The fabricated sensor array was able to consistently detect and track random localized points of contact, the shape of an unknown object placed on top of it, and an index finger trajectory along the surface with high accuracy and precision. The fabricated device showed a negligible change in the performance over 500 bending cycles which indicates the highly robust nature of the device. Successful fabrication of such a cost-effective large-area pressure sensor array is a major step in flexible electronics, and holds immense potential in artificial electronic skin, security, personal healthcare applications.
A Two-Finger Soft-Robotic Gripper With Enveloping and Pinching Grasping Modes

This article presents a two-finger soft-robotic gripper with enveloping grasping (EG) and pinching grasping (PG) modes. The proposed soft-robotic gripper is based on a two-finger design that combines two dual-module pneumatic actuators with a variable chamber height (DMVCHA). The prototype of the DMVCHA has been fabricated by molding of silicone rubber. In the PG mode, the high passive compliance of the DMVCHA allows large contact area and realizes a vertically plane contact with the object, which improves the grasping reliability and is suitable for grasping objects with a small and medium size. In the EG mode, the DMVCHA becomes the pneumatic network actuator (PneuNet) with a variable chamber height, which provides greater grasping force and is suitable for grasping objects with larger and hollow size. Compared with the traditional PneuNets, the DMVCHA has a greater output force. The bending angle and output force of actuators with different structures have been analyzed by finite-element analysis. The grasping performance of the proposed and universal soft grippers is studied by experiments. The result shows that with only two fingers, the gripper can reliably grasp objects with various shapes and volume, especially small and fragile objects.
OPTICS; ATOMS and MOLECULES; SPECTROSCOPY 1687 Calibration of optical tweezers with differential interference contrast signals

A comparison of different calibration methods for optical tweezers with the differential interference contrast (DIC) technique was performed to establish the uses and the advantages of each method. A detailed experimental and theoretical analysis of each method was performed with emphasis on the anisotropy involved in the DIC technique and the noise components in the detection. Finally, a time of flight method that permits the reconstruction of the optical potential well was demonstrated.
Employee-Oriented Corporate Social Responsibility (CSR) and Employees Performance, within the Mining Sector

Several researches have highlighted the responses of the employees towards the Corporate Social responsibility (CSR) within various business sectors,whereas few studies payed attention to the employees within the mining sector,this paper seeks to investigate the linkage between the employee-oriented CSR and their performance, basically the study focused on a sample of 300 employees of the mining sector in the Democratic Republic of the Congo. The relationship was tested by estimating a linear regression model, the study assessed the mediation mechanism of job satisfaction and organizational commitment.The empirical results showed an evidence of a positive relationship between Employee-oriented Corporate Social Responsibility and job performance, CSR practices towards employees would increase the employee satisfaction, which significantly predicts their job performance, therefore, Employee-oriented Corporate Social Responsibility indirectly impact job performance through mediating mechanism of job satisfaction and organizational commitment.The authors recommended the mining firms to initiate CSR initiatives that involve the workers participation. Keywords : Mining Sector, Corporate Social Responsibility, Human Resources Management,Job perfomance,Job satisfaction, Organizational Commitment. DOI: 10.7176/EJBM/12-24-07 Publication date: August 31 st 2020
Effect of precooling and storage temperatures on ripening pattern of mango cv. Alphonso

The study was conducted the effect of different precooling and storage temperatures on quality of mango cv. Alphonso. The experiment was carried out during the season May 2016 at R.F. R.S. , Vengurle, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli with five precooling temperatures (P1 – Control, P2 – 21 ± 2 0C, P3 - 18 ± 2 0C, P4 – 15 ± 2 0C and P5 - 12 ± 2 0C.) and four storage temperatures (S1 – Ambient temperature (27-30 0C), S2 - 18 ± 2 0C, S3 – 15 ± 2˚C and S4 - 12 ± 2 0C. ). After precooling fruits were stored for 21 days at different storage temperatures and again brought to above precooling temperature by air cooling after 21 days. Then the cooled fruits were kept for ripening for seven days at room temperature. It was found that the peak ripening was noticed after 14 days at ambient temperature (S1) and after 21 days at 18 0C (S2), 15 0C (S3) and 12 0C (S4) temperature. Interaction P5S4 showed maximum green fruits (36%) followed by P5S3 (28%) at 21 days storage. Maximum ripening was noticed in P5S3 (68%) at 28 days storage. The interaction P5S4 was significantly superior to others.
Effects of Fascioliasis on the Economic Losses of Beef Liver at Abu Simbel Abattoir, Aswan Governorate, Egypt

| Beef liver as human food is a good source of protein and provides many vitamins as B12, vitamin A, riboflavin and copper. Fascioliasis is an acquired infection occured by eating contaminated water plants and caused by the liver fluke (Fasciola hepatica). Therefore, the aim this of work was to determine i) the liver lesions of cattle in Abu Simbel Abattoir, Aswan Governorate, Egypt imported from Sudan; ii) the prevalence of bovine Fascioliasis and iii) estimate their economic losses as a result of liver lesions. The study was performed for a period of one year from 22 December 2018 to 21 December 2019. During the survey, 81452 male cattle were slaughtered and inspected. The total number of condemned livers was 7553 (9.3%). The pathological conditions causing liver condemnation were Fascioliasis (86.3%), cirrhosis (8.7%), abscesses (2.3%), calcified cyst (1.5%), hepatitis (0.6%), and Cysticercus bovis (0.6%). The total economic losses were 173554.21$ while with respect to Fascioliasis were 152718$. In conclusion, these results indicated that the bovine Fascioliasis was the main cause of liver condemnation in the present study causing highly economic losses.
A Monolithic Force Sensing Integrated Flexure Bonder Dedicated to Flip-Chip Active Soft-Landing Interconnection

A flip-chip bonding system has a high demand for both force sensing and control functions to ensure the high-quality chip interconnection. The motivation of this article is to combine the ability to enable a common flip-chip bonding system to run in the manner of active soft-landing (ASL) interconnection. The developed flexure bonder achieves these functions by designing a flexure force sensing and control mechanism integrated with strain gauge sensing and piezoelectric actuating functions. First, the design, modeling, and optimization of the flexure mechanism are presented. Theoretical analyses, including force sensing and control working principle demonstration, force–strain model derivation, and dynamics response modeling, are carried out. Besides, aiming at highly sensitive force control under high-dynamic working condition, the mechanism is optimized by the multiobjective genetic optimization algorithm. Then, this flexure bonder mechanism is analyzed and evaluated by finite-element analysis. Finally, a series of validation experiments, including force sensing calibration and performance tests, open- and closed-loop force controlling tests, ASL tests, and actual bonding tests, are successfully implemented. The results indicate that the operation accuracy of the developed system is improved up to $\pm$1 N under 400-N range, and the overshoot of ASL is less than 2 N under 6000-N/s loading speed. All the results uniformly confirm that the proposed bonding system can achieve precise force control and satisfactory chip interconnection performance with the proposed ASL bonding strategy.
DC/DC Converter for Bipolar LVdc System With Integrated Voltage Balance Capability

Bipolar LVdc distribution is a promising solution for better integration of renewables and enhancement of system efficiency and reliability, but it also faces the challenge of pole voltage imbalance. By simple modifications of the bidirectional CLLC dc/dc converter, this article presents a dc/dc converter with integrated pole voltage balance capability. The converter presents less number of semiconductors, smaller overall footprint, and lower power loss compared to the employment of additional pole voltage balancers. Operating principle of this dc/dc converter and its inherent pole voltage balancing capability are explained, while further control scheme is also developed to compensate the small pole voltage difference caused by the dead time effect. Simulation results with 150 kW/±375 V bipolar output demonstrate the effectiveness of the converter, and the experimental results from a 500 W/±50 V downscaled prototype further prove the proposed concept.