Miracle-dz/UniFAR-FTUs huggingface dataset:
Parameters Estimation Tests of Induction Machine Using Matlab/Simulink

This paper describes special tests through the Matlab/Simulink program with induction machine to estimate the parameters of the equivalent circuit step by step because they have a direct impact on the performance of induction machine while running steady-state machines and dynamic status. There are three tests to determine the parameters of the induction machine (R 1, R 2, X 1, X 2, X m) is a DC test and No-Load test (open-circuit test) and Blocked rotor test (short-circuit test). Despite the fact that temperature and the skin effect are not taken into account in DC resistance modelling, the results obtained are approximate and rational. For control and verification, the parameters of an induction machine can be accessed through the above three tests. Simulation and experimental results confirm the effectiveness of the proposed method. This work can be easily applied by students to enable them to know the parameters in the absence of the information provided in the motor.
Surface Water Detection Method for Water Resources Management

Small significance earth dams during the dry period for locals at most semi-arid cannot be overestimated. Water stored in the same of these dams is little or no lack of domestic water and drinking water for residents during dry periods. The main limitation is the lack of knowledge of the storage quantities of small dams in the study area and knowing this form of field data regularly is costly and needs a long and arduous time. Remote sensing and geographic information systems (GIS) can be used in this study due to their ability to measure and analyze the amount of water stored in some small reservoirs. In this paper, the Water Natural Difference Index (NDWI) is used to detect the surface area as the base to estimate small reservoir storage capacities. The model equation created by this study provided a tool to know the amount of water available per day in the small reservoirs during the dry season and thus was able to obtain clear pictures of the water resources system by the planners. This method may help the planners and water managers will quickly make decisions on how to utilize and manage the available water given the various competing uses.
Re-Evaluating Entropy Levels in RSA Key Generation

Through scanning the entire IPv4 address space for TLS certificates, Heninger et. al [9] were able to find a significant amount of RSA public keys that were produced with insufficient entropy, leading to a significant portion of hosts using the same keys, and a smaller (but still significant) portion of hosts using keys with a shared common factor with at least one other host. The latter case is particularly egregious because it allows for efficient factorization of both keys that share the common factor. In this paper, we perform another scan of the Internet to find what proportion of public RSA keys are still vulnerable as outlined in [9]. As expected, we see a changed Internet landscape from Heninger et. al’s original 2012 publication; we find a much greater number of hosts with an open TLS port, yet a much lower number of hosts with vulnerable RSA keys.
Numerical study on the effect of excavation dewatering on the contaminant emission in sandy soil

In recent years, construction has increased widely throughout the world, and the need for excavation and dewatering has increased dramatically. The potential for pollutants to enter soil and groundwater including chemical fertilizers, municipal landfill leachate, and hydrocarbons has also increased. The dewatering process used in the excavation can detrimentally affect the spread of contamination in the soil. In this study, the effect of different parameters on the emission of pollutants in different excavation depths has been investigated. Two software products SEEP/W and CTRAN/W are used for numerical modelling. The results show that the physical properties of soil have a significant influence on the contaminant movement. Also, it is indicated that the change in water level depth and the excavation depth have a massive effect on the contaminant migration process. Moreover, the vertical barrier can be an effective way to reduce the migration of contaminants to the excavation zone.
Improvement the Shear strength of Asphalt Mixture by using crumb tire Rubber

Rutting is one of the big problems in hot-mix asphalt (HMA) pavements. The primary mechanism of HMA rutting is shear deformation, often caused by high stress in HMA layers during traffic loading, especially at high temperatures. Current HMA rutting tests are not necessarily designed to capture HMA shear properties such as shear strength, shear strain, and shear module. The present work explores the behavior of the shear strength properties of HMA modified with Crumb Tire Rubber (CTR) and two types of filler (brick and lime dust in comparison with passing sieving No.200 as control filler) by developing a Simple Punching Shear Test (SPST) under control of temperature and loading rate. A series of laboratory sample tests to formulate and set up the SPST protocol and the related test parameters, derive the SPST results analysis sample to capture the HMA shear parameters from the results and comparatively evaluate the shear properties of HMA mixes. Results have shown that the SPST is relatively receptive to the form of modifier and filler. Using limestone dust as with (5%) CTR content increased higher shear strength, the rate of increase was about (44.44%) and (51.38%). Also 5% to 7% CTR content with lime dust filler lowering shear strain more than for brick dust filler.
CS 244 Project Report: Reproducing Copa

We reproduce key findings from Copa: Practical Delay-Based Congestion Control , which presents a general purpose delay-based congestion control algorithm called Copa. In keeping with the original paper, we find that Copa achieves a higher flow-rate fairness than BBR, PCC, and Cubic. We also successfully reproduce the paper’s claim that on real-world wired and cellular links in February of 2018 Copa achieves nearly as much throughput and 2-10 times lower queuing delay as other congestion control schemes. However, our results show that in the last 2 months Copa achieves significantly lower throughput than most other schemes, and on in our fairness experiments we observe that a single Copa flow uses only about 85% of a link’s full capacity. Accordingly, our results indicate that further research is required to establish whether and in what conditions Copa provides better performance than other congestion control algorithms.
Performance analysis of 4H-SiC super-junction devices: impact of trench angle and improvement with multi-epi structure

This paper studies the impact of the trench angle on SiC super-junction device performance through the numerical simulation. Devices with different structure parameter sets (mesa width, epi doping) targeting different voltage ratings have been considered. It is found that with the optimum epi doping, the highest Baliga’s figure of merit (BFOM) is always achieved at the trench angle of 90°. The advantage of 90° trench angle can be further increased by reducing the mesa width (MW). However, the 90° trench is hard to be achieved through the current fabrication technology. Once the trench angle is reduced slightly, the device BFOM will decrease evidently especially for high voltage devices. At this condition, the reduction of mesa width does not necessarily produce higher BFOM. For example, at the trench angle of 89° and trench depth of 25 μm, the BFOM of the device with MW = 3 μm is substantially higher than that of the device with MW = 1 μm. Such a phenomenon is contrary to conventional theory, which is crucial for device design. Finally, in order to improve the performance of devices with non-90° trenches, the multi-epi structure is proposed. With such a novel structure, significant improvements have been observed in the simulation. The BFOM increments for 2 kV, 3.5 kV and 5 kV voltage rating devices are 27.4%, 60.8% and 102.6% respectively, demonstrating the superiority of the proposed multi-epi structure for SiC super-junction devices.
Which acoustic features support the language-cognition link in infancy: A machine-learning approach

From the ambient auditory environment, infants identify which communicative signals are linked to cognition. By 3 to 4 months of age, they have already begun to establish this link: listening to their native language and to non-human primate vocalizations supports infants’ core cognitive capacities, including object categorization. This study aims to shed light on the specific acoustic properties in these vocalizations which enable their links to cognition. We constructed a series of supervised machine-learning models to classify those vocalizations that support cognition from those that do not, based on classes of acoustic features derived from a collection of human language and non-human vocalization samples. The models highlight a potential role for spectral envelope and rhythmic features from both human languages and non-human vocalizations. Results implicate a potential role of underlying perceptual mechanisms relevant to spectral envelope and rhythmic features in infants’ establishment of the uniquely human language-cognition link.
Design and fabrication of networks for bacterial computing

Non-deterministic polynomial (NP-) complete problems, whose number of possible solutions grows exponentially with the number of variables, require by necessity massively parallel computation. Because sequential computers, such as solid state-based ones, can solve only small instances of these problems within a reasonable time frame, parallel computation using motile biological agents in nano- and micro-scale networks has been proposed as an alternative computational paradigm. Previous work demonstrated that protein molecular motors-driven cytoskeletal filaments are able to solve a small instance of an NP complete problem, i.e. the subset sum problem, embedded in a network. Autonomously moving bacteria are interesting alternatives to these motor driven filaments for solving such problems, because they are easier to operate with, and have the possible advantage of biological cell division. Before scaling up to large computational networks, bacterial motility behaviour in various geometrical structures has to be characterised, the stochastic traffic splitting in the junctions of computation devices has to be optimized, and the computational error rates have to be minimized. In this work, test structures and junctions have been designed, fabricated, tested, and optimized, leading to specific design rules and fabrication flowcharts, resulting in correctly functioning bio-computation networks.
Studies On Absorption Spectra Of Mn Doped Cds Nanoparticles

This book is briefly describe the luminescence phenomenon of CdS:Mn nanoparticles. The absorption Spectra and band gap measurement, particle size calculation by effective mass approximation and hyperbolic band model. Preparation of CdS nanocrystals of various sizes by chemical precipitation technique using different concentration of capping agent at different temperature. The variation of temperature effect in synthesis process of Mn doped CdS samples. Optical studies of CdS:Mn nanoparticles and concentration effect of capping agent with molar change in Mn percentage.
Effect of different layer structures on the RF performance of GaN HEMT devices

In this paper we have studied AlGaN/GaN high electron mobility transistor devices with three different buffer layer structures and their effect on the RF performance of the devices. Detailed DC and pulsed IV measurements were carried out to investigate the effect of bulk traps on the performance of the devices. Activation energy of buffer traps is also investigated by low frequency S-parameter measurements of the devices at variable temperature. The effect of buffer structure and quality of buffer on RF gain has been observed for the devices. Using the S-parameters, the equivalent circuit model parameters of the devices were also extracted. All the characterizations revealed that the presence of low C-doped buffer shows less vulnerability towards traps and produces better RF performance. It was also observed that the device with only low C-doped thin buffer reproduces better RF characteristics.
Design Pipeline Architecture with Fuzzy Logic

This paper aims to design the pipeline who is considered a set of related data processing elements in a series where the result of one element is the introduction of the next one, and it can be used to increase performance and speed at the same time, and we use it in computer systems or home appliances. Increasing the voltage in the pipeline increases the power. When the clock frequency increases to increase the performance of the pipeline, the power increases but at the same time the possibility of an error increases. System errors will lead to a wasted in energy consumption which in turn reduces system efficiency. The problem is how to reduce the power in the pipeline system without effecting the process speed or frequency so that we mention the same throughput with this power. We will deal with N bit full adder and study the effect of increasing these bits on both the time delay and the power consumption of the pipeline gate, and the results show that there is a direct relationship between the number of bits and the power. The razor circuit is used with the pipeline so that the errors that will occur in the pipeline will be detected and corrected within one clock cycle instead of wasting the time and energy on incorrect data, thus the power consumption will be reduced. By introducing a Fuzzy logic controller to the pipeline, it was possible to minimize the power consumption of the system by monitoring the number of bit errors and the consumed power. Also, we will make a comparison of the pipeline when using the controller and when not in use, and we will notice the effect of the controller in reducing the power consumption of the pipeline.
LOCALLY SUPPORTED EIGENVECTORS OF MATRICES ASSOCIATED WITH CONNECTED AND UNWEIGHTED POWER-LAW GRAPHS

We identify a class of graph substructures that yields locally supported eigenvectors of matrices associated with unweighted and undirected graphs, such as the various types of graph Laplacians and adjacency matrices. We discuss how the detection of these substructures gives rise to an efﬁcient calculation of the locally supported eigenvectors and how to exploit the sparsity of such eigenvectors to coarsen the graph into a (possibly) much smaller graph for calculations involving multiple eigenvectors. This preprocessing step introduces no spectral error and, for some graphs, may amount to considerable computational savings when computing any desired eigenpair. As an example, we discuss how these vectors are useful for estimating the commute time between any two vertices and bounding the error associated with approximations for some pairs of vertices.
Precision of Fecal Analysis: A Feeding Experiment with Penned

To confirm the precision of fecal analysis for food habits study of herbivorous animals, a feeding experiment was carried out using penned Sika deer (Cervus nippon). Three kinds of natural grasses (Miscanthus sinensis, Pleioblastus chino and Zoysia japonica) were offered to a young buck and excreted feces were sampled for examination. It was revealed that fecal fragments of each grass were identifiable and their diagnostic characters were described. Residual ratios (proportion in the fece/proportion in the diet) of Miscanthus, Pleioblastus and Zoysia were 0.27, 1.36 and 1.04, respectively. This result implies that the fragility of Miscanthus is significantly greater than other grasses. Considering the advantages in sampling and in qualitative and quantitative evaluation, fecal analysis should be a promising method for food habits study of wild herbivores.
The influence of budgets’ coercive and enabling characteristics on empowerment and creativity

Received in 7/1/2020. Ask to Revise on 8/17/2020. Resubmitted on 10/7/2020. Accepted on 10/26/2020 by Dr. Andson Braga Aguiar (Assistant Editor) and by Dr. Gerlando Augusto Sampaio Franco de Lima (Editor). Published on 23/12/2020. Organization responsible for the journal: Abracicon. Abstract Objective: To analyze the influence of budget coercive and enabling characteristics on managers’ empowerment and creativity. Method: A survey was conducted, and 100 valid responses were obtained from managers enrolled in the Brazilian Association of Information Technology Companies (Assespro). Data were analyzed using structural equations modeling through Partial Least Squares (PLS). Results: The results show that the budget’s coercive characteristics improved the creativity of managers of technology companies; however, the influence of the budget’s enabling characteristics was significantly greater. The mediating test revealed that empowerment did not mediate the relationship between budget’s coercive characteristics (planning) and creativity but partially mediated the relationship between budget’s enabling characteristics (dialogue) and creativity. Contributions: This study contributes to the theoretical sphere by showing that a business budget can be perceived in two different lights. It can promote a feeling of empowerment among employees and boost their creativity, encouraging them to use resources sustainably and innovatively.
YTHDF2 Suppresses Notch Signaling through Post-transcriptional Regulation on Notch1

YTH domain family 2 (YTHDF2) is an N6-methyladenosine (m6A) binding protein promoting mRNA degradation in various biological processes. Despite its essential roles, the role of YTHDF2 in determining cell fates has not been fully elucidated. Notch signaling plays a vital role in determining cell fates, such as proliferation, differentiation, and apoptosis. We investigated the effect of YTHDF2 on Notch signaling. Our results show that YTHDF2 inhibits Notch signaling by downregulating the Notch1, HES1, and HES5 mRNA levels. Analyzing YTHDF2 deletion mutants indicates that the YTH domain is critical in regulating the Notch signal by directly binding m6A of Notch1 mRNA. Recently, YTHDF2 nuclear translocation was reported under heat shock conditions, but its physiological function is unknown. In our study, the YTH domain is required for YTHDF2 nuclear translocation. In addition, under heat shock stress, the Notch signal was significantly restored due to the increased expression of the Notch1 targets. These results suggest that YTHDF2 in the cytoplasm may act as an intrinsic suppressor in Notch signaling by promoting Notch1 mRNA degradation under normal cellular conditions. Conversely, upon the extracellular stress such as heat shock, YTHDF2 nuclear translocation resulting in reduced Notch1 mRNA decay may contribute to the increasing of Notch intracellular domain (NICD) regulating the survival-related target genes.
Security Considerations: Software Supply Chain

— Enhancing security of the software supply chain is already a work in progress, however, recent events accentuating attacking the software supply chain have shown there is still a long way to go. This position paper presents items we believe are relevant to defining Standards and Guidelines to Enhance Software Supply Chain Security related to Executive Order (EO) 140228 sections: EO 4(g), EO 4(e)(i, ii, ix, and x), EO 4(e)(iv and v) and 4(r).
INHIBITORY ACTIVITY OF GREEN SYNTHESIZED SILVER NANOPARTICLES FROM PLEUROTUS SPECIES AND IT’S FUSANTS AGAINST HUMAN PATHOGENS

Today, interdisciplinary research has been widening the perspective of material research. Nanotechnology is a vital field of modern science and it has been applied in resourceful areas including in the field of biomedicine. Bacterial disease is common in human and animals. To triumph over the high mortality and contagious nature of the bacterial diseases in human and farm large quantity of antibiotics has been used, resulted in the bacterial resistance to antibiotics. From a technical point of view, application of macro-fungus based compounds and alternative substances for controlling the bacteria conferred healthy outcome. The present study aimed to evaluate the antimicrobial activity of silver nanoparticles against Gram-positive (Bacillus substilis, Staphylococcus aureus and Streptococcus pyogenes) and Gram negative bacteria (Pseudomonas aeruginosa and Escherichia coli) by the agar diffusion method.
PLANT DISEASE IDENTIFICATION USING MACHINE LEARNING ALGORITHMS

The Machine Learning (ML) field has gained its momentum in almost any domain of research and just recently has become a reliable tool in the medical domain. Identification of the plant diseases is the key to prevent the losses in the yield and quantity of the agricultural product. The studies of the plant diseases mean the study of visually observed patterns seen on the plant. Health monitoring and disease detection on the plant is very critical for the substantial growth. It is very difficult to identify the diseases on the plant manually and provide the treatment for that appropriate disease. It requires a tremendous amount of work experience and should be expertise in the plant diseases and also requires excessive time for processing. Here in this proposed application we try to find out the disease of the plant based on the inputs which we observe physically on any plant. For any plant there are 5 levels of disease occurrences: Stem Level, Leaves Level, Seed Level,Lessions Level, Plant Level. So any disease on the plant can be either of these five levels. We try to design an medical dictionary in which all the physical inputs are substituted according to any of the level and then try to detect which disease plant is suffered with and it will try to provide cure for that appropriate disease. Our evaluation results on the proposed method using ML approach for identifying diseases on plant able to identify the diseases accurately and try to provide a solution for the end users.
Prevalence of Aggressive Periodontitis in the population visiting outpatient department of a dental hospital of Jammu: A cross- sectional study

Background: Aggressive periodontitis(AP) is a rapidly progressing disease that affects the otherwise healthy individuals. The aim of this study was to assess the prevalence of AP in the population visiting the outpatient Department of Periodontology, Indira Gandhi Govt. Dental College Jammu. Materials and Methods: A total of 1600 patients were screened to estimate the prevalence of AP. Thorough gingival examination was done to evaluate the gingival condition. The periodontal status was evaluated by recording the clinical attachment level, probing pocket depth, and gingival recession. The radiographic assessment was done in the subjects provisionally diagnosed with AP which included full mouth intraoral periapical radiographs and panoramic radiographs. Results: Out of 1600 patients, 14 were diagnosed with AP. Thus the prevalence of Aggressive periodontitis was found to be 0.87%. Conclusion: The prevalance rate in the studied population was found to be 0.87%. The prevalence of AP is highly variable and controversial globally and needs a sincere and systemic approach to treat this.