Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced Control Technique for Islanded Microgrid based on H-Infinity Controller First

This paper presents an advanced control method for islanded microgrids (MG). The proposed control method is based on H-infinity (H∞) controller. The method is applied to regulate the system frequency and voltage to allowable range against the disturbances caused by load variations and meanwhile improve the system power quality. To prove how efficient is the proposed controller, it is compared with two other controllers including a base V-f controller and a conventional droop controller. The V-f control method consists of two control loops to control the voltage source inverter (VSI). The conventional control method applies a droop control with the V-f control method to improve its performance. The proposed control method is based on H∞ to modify the operation of the conventional control method. The three controllers are applied to a test system simulated in Matlab/Simulink environment for two case studies. The first one is a MG supplying linear loads (i.e. no harmonics effect), whereas the other one is a MG supplying nonlinear loads. The results prove that the proposed control method is more efficient than the other two methods in adjusting the system voltage and frequency of the islanded MG against the disturbances caused by load variations. It can also improve the system power quality by reducing the THD of current and voltage waveforms.
Pseudorandomness

Problem 4.5. (Near-Optimal Sampling) Describe an algorithm for Sampling that tosses O(m+log(1/ε)+log(1/δ)) coins, makes O((1/ε2)·log(1/δ)) queries to a function f : {0, 1}m → [0, 1], and estimates μ(f) to within ±ε with probability at least 1 − δ. (Hint: use expander walks to generate several sequences of coin tosses for the pairwise-independent averaging sampler, and compute the answer via a “median of averages”.) It turns out that these bounds on the randomness and query/sample complexities are each optimal up to constant factors (for most parameter settings of interest).
Leakage Current Simulation of Insulating Thin Film Irradiated by a Nonpenetrating Electron Beam

We perform numerical simulations of the leakage current characteristics of an insulating thin film of SiO2 negatively charged by a low-energy nonpenetrating focused electron beam. For the formation of leakage current, electrons are demonstrated to turn from diffusion to drift after clearing the minimum potential barrier due to electron-hole separation. In the equilibrium state, the leakage current increases approximately linearly with the increasing primary beam current and energy. It also increases with the increasing film thickness and trap density, and with the decreasing electron mobility, in which the film thickness has a greater influence. Validated by some existing experiments, the simulation results provide a new perspective for the negative charging effects of insulating samples due to the low-energy focused electron beam.
Zeroploit

In this article, we first characterize register operand value locality in shader programs of modern gaming applications and observe that there is a high likelihood of one of the register operands of several multiply, logical-and, and similar operations being zero, dynamically. We provide intuition, examples, and a quantitative characterization for how zeros originate dynamically in these programs. Next, we show that this dynamic behavior can be gainfully exploited with a profile-guided code optimization called Zeroploit that transforms targeted code regions into a zero-(value-)specialized fast path and a default slow path. The fast path benefits from zero-specialization in two ways, namely: (a) the backward slice of the other operand of a given multiply or logical-and can be skipped dynamically, provided the only use of that other operand is in the given instruction, and (b) the forward slice of instructions originating at the given instruction can be zero-specialized, potentially triggering further backward slice specializations from operations of that forward slice as well. Such specialization helps the fast path avoid redundant dynamic computations as well as memory fetches, while the fast-slow versioning transform helps preserve functional correctness. With an offline value profiler and manually optimized shader programs, we demonstrate that Zeroploit is able to achieve an average speedup of 35.8% for targeted shader programs, amounting to an average frame-rate speedup of 2.8% across a collection of modern gaming applications on an NVIDIA® GeForce RTX™ 2080 GPU.
Forecast of Energy Consumption in Agricultural Sector of Iran Using Neural Network

Energy, as a major factor of production, plays an important role in economic activities. Shortages of energy resources and environmental aftermaths of unrestrained consumption of fossilized resources compel us to seek and implement most efficient ways and means to consume energy and hence the situation demands particular attention to be devoted to optimized energy consumption and its efficient use in energy related studies and policies throughout the world. In order to make forecasts on energy consumption in agricultural sector in Iran, we have applied neural network concept, we have calculated significant factors affecting energy consumption between 1974 and 2008 and then, Augmented Dicky-Fuller we have assessed durability or "stability" of variables. In addition, with the application of (Johansson's) test and Vector Error Correction Model (VECM), we have estimated long-term and short-term relationships of energy consumption in agricultural sector. Conclusions of this study indicate that intensity of energy consumption variable in agricultural sector and Gross Domestic Product (GDP) are of great importance and have a decisive and considerable impact on energy consumption in agricultural sector of Iran.
Mixed-Reality Communication System Providing Shoulder-to-shoulder Collaboration

—In this paper, we propose a mixed-reality-based mobile communication system for two users placed in separate environments. The ﬁrst is a remote user who physically travels to a shared environment with a mobile augmented reality setup, and the second is a local user who remains in another place while being immersed in a virtual reality view of the shared environment with the ﬁrst user. The users are provided with a unique kind of collaboration, i.e., Shoulder-to-shoulder collaboration that simulates the users to walk shoulder-to-shoulder with viewing independence and bidirectional gesture communication. The major objective is to enhance co-located sensation. We introduce our prototype system as a proof of concept and perform evaluations of two user studies to verify system applicability and performance.
TRADE ASSOCIATIONS , NETWORKS AND EXPORT PERFORMANCE

By drawing on the literature of networks and cooperation, this research addresses the effects of the firm ́s level of engagement with trade associations located at the company ́s export market on export performance. In addition, it gauges the moderating effects that such level of engagement exerts on the firm ́s perceived environmental uncertainty on customer needs. The authors analyze firm-level data from a South American emerging economy and report that a stronger engagement with trade associations located at the company ́s export market has a positive effect on export performance. Environmental uncertainty on customer needs is confirmed as an export performance barrier, but unexpectedly, this obstacle only diminishes in a negligible factor as the level of engagement with trade associations located at the firm ́s export market increases. This research contributes to the literature by investigating the direct and moderating effects of institutional overseas networks on the firm ́s export performance, and by scrutinizing on the distinctions among the cooperation determinants of local networks and networks situated at the firm ́s export market. Implications for policy makers and practitioners are discussed.
Minimization of Unnecessary Field of View Utilization and Redundant Data Transmission in Wireless Multimedia Sensor Networks

In this advanced era of science and technology, Wireless multimedia sensor networks (WMSNs) have many applications in almost all the spheres of life starting from medical to military applications. Out of various challenges encountered in WMSNs, redundant data transmission stands as one of the major challenge due to which unnecessary consumption of CPU power, bandwidth, battery power etc. occurs. Redundant data transmission takes place due to overlapping of field of views of camera sensors. Field of view represents the angle at which a camera can capture actual image of an object. Due to overlapping of FOVs among the camera sensors, scalars present at the common overlapping region communicate the same event information to same set of cameras. As a result, same information is communicated multiple times. This leads to transmission of redundant data. Therefore, several methods are adopted time and again to eliminate such redundant data transmission. When an event takes place in a monitored region, sensing of event not only takes place inside the event boundary as well as up to some extent of outside the event boundary. Therefore, some cameras present outside the event region also detect the event and are activated unnecessarily due to sensing of event outside event boundary. Such situation arises as some of the scalars present within field of view of these cameras sense the event as their sensing range cover the event region. The problem is that the depth of fields of such cameras do not cover the event region, but they are activated unnecessarily due to sensing of event by the scalars within their field of view. Therefore, Field of View Utilization (FOVU) increases unnecessarily due to activation of such cameras. Our objective is to minimize such Field of view utilization (FOVU) and redundant data transmission. Keywords— ECIM, ESIM, HPN, EDS, MD, FOV, DOF, FOVU
Countercyclical Reserve Requirements

For a long time reserve requirements fell into disuse as a countercyclical monetary policy tool. Recently, while developed countries struggled to deal the financial crisis, several emerging countries resorted to them as part of the macro-prudential policy toolkit. The apparent success of such non-conventional instruments in mitigating business cycle fluctuations raises the question whether they deserve full credit for that or some merit should be given to conventional instruments, like short-term interest rates. To answer this question, we use a dynamic stochastic general equilibrium model with risk-averse financial intermediaries, heterogeneous agents facing uninsurable idiosyncratic risk and a central bank that implements countercyclical policy using two instruments: short-term rates and reserve requirements. In this environment, in which agents’ wealth matters for their consumption and savings decisions, we find that using reserve requirements as a countercyclical tool marginally helps to reduce the consumption volatility and that its effect becomes quantitatively relevant only if banks are sufficiently risk averse. Two factors drive our results: the presence of interest rate risk and the imperfect substitution between bank liabilities.
Effect of Calibration for Wideband Impedance Measurement Using the S-Parameter Method

Recently, a measurement technique called the S-para meter method using a standard vector network analyzer has been proposed, whereby the inp ut im edance of a balanced fed antenna can be found. In this paper, the open-short-correction met hod is adopted to compensate for the influence of the jig used in the S-parameter method.
SYNTHESIS AND TRANSFER OF DNA, RNA, AND PROTEIN DURING VITELLOGENESIS IN RHODNIUS PROLIXUS (HEMIPTERA)

1. Histochemical and autoradiographic techniques were applied to Rhodinus prolixus during vitellogenesis.2. Examination of the ovary, fat body, and midgut demonstrated that DNA was synthesized exclusively in the nuclei of these tissues. There appeared to be a transfer of some of the DNA in a partially depolymerized form from the trophic tissues of the ovary to the growing oocyte.3. RNA was synthesized in the nuclei of the ovary, fat body, and midgut, and subsequently was transferred to the cytoplasm of these tissues. Some of the newly synthesized RNA passed from the trophic tissues of the ovary to the enlarging oocyte.4. Protein was found to be synthesized most actively in the follicular epithelial tissues of the ovary, and in the fat body. Evidence of protein synthesis was also found in the other regions of the ovary, and in the midgut. The passage of newly synthesized protein from the follicular epithelium into the oocyte was noted. Synthesis of yolk protein by the oocyte itself appeared to be negligible.
Proteomic Analysis of the Sarcosine-Insoluble Outer Membrane Fraction of Helicobacter pylori Strain 26695

Proteomic Analysis of the Sarcosine-Insoluble Outer Membrane Fraction of Helicobacter pylori Strain 26695 Seung-Chul Baik, Kyung-Mi Kim, Su-Min Song, Do-Su Kim, Jin-Su Jun, Seung-Gyu Lee, Jae-Young Song, Jeong-Uck Park, Hyung-Lyun Kang, Woo-Kon Lee, Myung-Je Cho, Hee-Shang Youn, Gyung-Hyuck Ko, and Kwang-Ho Rhee Department of Microbiology, Pathology, and Pediatrics, and Gyeongsang Institute of Health Science, Gyeongsang National Uniersity College of Medicine, Jinju, Gyeongsangnam-do 660-751, Republic of Korea
Optimization of PCR Conditions to Amplify Microsatellite Loci in Grapevine (Vitis vinifera L.) Genomic DNA

A total of three different primer pairs were optimized for polymerase chain reaction (PCR) to amplify microsatellite loci in total genomic DNA of grapevine (Vitis vinifera L.). Different concentrations of MgCl2, DNA and different regimes of annealing temperature were optimized. For all the primer pairs, 2.5 mM MgCl2 concentration was found optimum. For DNA concentration, 100 ng in the final reaction volume was suitable for good amplification. Annealing temperatures 56°C, 61°C and 58°C were found optimum to amplify with primer pairs VVMD5, scu04vv and VMC8E6, respectively. The other reagents used in PCR and temperature regimes (denaturation and extension temperature) were kept constant. The protocol has been successfully applied producing scorable and clear amplicons in all cultivars studied. These loci can be used to evaluate the genetic variability and cultivar relatedness in autochthonous Vitis vinifera cultivars from Tunisia.
Analyzing Higgsstrahlung with WHIZARD

We analyzed the process e+e− → HZ, also called Higgsstrahlung, with a hadronic Z decay using the Monte Carlo Event Generator WHIZARD. The cross section of the process as well as the differential distributions of the transverse momentum of the jets, the decay products of the Z-bosons, were determined at both leading order and next-to-leading order in Quantum Chromodynamics. The results were compared to results that were obtained using MadGraph. While MadGraph and WHIZARD are in good agreement at leading order there are differences at next-to-leading order. However, due to unphysical behavior of the distributions that were obtained with MadGraph, it is concluded that the WHIZARD results can still be assumed to be correct, both at leading order and next-to-leading-order.
Developing a transformational digital strategy in an SME: The role of responsible management

Based on the case study of an SME company in the United Kingdom (which we will call SweetStar Cloud), this paper examines the attempts of the company to achieve significant strategic change. The company is attempting to move from being a tradition managed service provider of Information Services towards becoming a significant influencer in the market for digital services in the UK. As part of a Knowledge Transfer Partnership (KTP), a local UK University has been closely involved in developing this new strategic direction and it is well poised to present and analyse the story. From the use of tried and tested strategic tools, including Porter’s Generic Strategies and segmentation and targeting, the company has also embraced digital-specific approaches for developing partnerships with clients, developing pilot projects and experimenting with its use of social media. At the heart of this research is an analysis of the move from push marketing towards models of attraction. This paper aims to explore how traditional strategic tools are still applicable in the digital era alongside new tactical approaches in the digital sector. This aim has led to an approach to business that is responsible, in terms of moving away from a traditional push-selling model to one of partnership with customers at a strategic level. Strategy in dynamic markets often highlights responsiveness as a key success factor. The ability to respond (a response-ability) requires more agile companies. As SweetStar Cloud has developed its strategy, it has focused in achieving this more effective ability to respond through a more collaborative approach. In this sense, agile response-ability converges with business responsibility, as new abilities in communication, cooperation and trust development become key.
High-flow Nasal Cannula-induced Tension Pneumocephalus

Abstract High-flow nasal cannula (HFNC) therapy has been established as a promising oxygen treatment with various advantages for respiratory mechanics. One of the main mechanisms is to provide positive airway pressure. This effect could reduce lung injury and improve oxygenation; conversely, it may cause a complication of positive pressure ventilation. However, data are scarce regarding the possible adverse effects, particularly in adults. We report a patient who developed HFNC-induced tension pneumocephalus from an unrecognized skull base fracture. Physicians should be cautious when applying HFNC to patients with suspected skull base or paranasal sinus fracture, especially when applying a higher flow rate. How to cite this article Chang Y, Kim T-G, Chung S-Y. High-flow Nasal Cannula-induced Tension Pneumocephalus. Indian J Crit Care Med 2020;24(7):592–595.
RESAMPLING BASED REGRESSION AND TIME-SERIES MODELS

The Jackknife and Bootstrap are the most popular resampling methods that are becoming increasingly popular as statistical tools as they are generally very robust, their simplicity is compelling and their computational demands are largely no longer an issue to their widespread implementation. The basic objective of all statistical analyses is to extract information from the available data under consideration. These resampling methods are essentially computer intensive techniques to extract as much information as possible from the data at hand. In this article, an attempt has been made to give an account on the principle and applications of the two resampling techniques viz. the Jackknife and the Bootstrap, particularly in the field of sample surveys.
Cost-effective abatement of pollution from agricultural sources classified in risk classes

Water pollution from agricultural sources is plagued with uncertainty of various proveniences. In the face of this uncertainty, catchment management authorities in Australia and elsewhere have been recently attempting to classify agricultural areas in the catchment in so called ‘risk classes’ according to their potential to contribute to ambient water pollution. This classification is intended to be used to aid decision making in allocating financial assistance to supporting abatement. This paper looks more closely at this classification and provides a theoretical representation of this approach. In addition, it compares its cost-efficiency to an alternative mechanism for allocating funds to abatement in a catchment based on economic optimisation. It is found that theoretically, the classification in risk classes is simply expressing the uncertainty about pollution loading parameter from a given agricultural area in discrete groups of expected realisations. While this classification gives priority for funding to abatement efforts in areas classified as ‘high-risk’, it is found that this does not provide a cost-effective outcome. The paper shows that abatement should be prioritised towards those farmers who can achieve greatest expected reduction of ambient water pollution at least-cost.
An Investigation on Prenasal Merger in Southern American English Through Automatic Speech Recognition

Commonly used in Automatic Speech Recognition programs, forced alignment is the process of generating phone-level timestamped transcriptions based on orthographic transcriptions. In this work, a modified pronunciation dictionary for forced alignment is used to identify the prenasal merger (a.k.a. pin-pen merger) in Southern US English. We hypothesize that the modification will increase the acoustic separation between the prenasal allophones of /I/ and /E/. This is borne out in our experiments performed on the Digital Archive of Southern Speech audio corpus. We compare vowel formant values before and after the modification, including the separation between vowel clusters as measured by Pillai scores and Euclidean distances between vowel centroids. K-means clustering on vowel formant values is used to show our modification yields better phonetic transcriptions. We also use Kullback-Leibler Divergence to show the trained acoustic models for the prenasal allophones of /I/ and /E/ differ the most in their final portions. Index words: Phone Classification, Forced Alignment, Formant Extraction, Automatic Speech Recognition, Prenasal Merger, Gaussian Mixture Models, K-means Clustering An Investigation on Prenasal Merger in Southern American English Through Automatic Speech Recognition
Restoring Motion Blur from Vehicle License Plates

- Image restoration is the process of estimating the clears original image given just a degraded observed image. The degradation can occur because of noise, motion blur, out of focus blur or atmospheric disturbance. The loss of information due to such degradation could be immense in field like the degraded license plates of vehicles that break speed limits or traffic rules. Various approaches try to remove the motion blur from such motion blurred images to retrieve the license plate number to charge the owner of the vehicle. This paper uses forward backward splitting technique implemented using wavelet transform to retrieve restored image of license plates of vehicles for enforcement of traffic laws .
Progress on Development of an Earthquake Early Warning System Using Low-Cost Sensors

Taiwan is one of the leading developers of earthquake early warning (EEW) systems. The Central Weather Bureau has been the primary developer of the EEW system in Taiwan since 1993. In 2010, the National Taiwan University (NTU) developed an EEW system for research purposes using low-cost accelerometers. As of 2014, a total of 506 stations have been deployed and configured. The NTU system can provide earthquake information within 15 s of an earthquake occurrence. Thus, this system may provide early warnings for cities located more than 50 km from the epicenter. Additionally, the NTU system also has an onsite alert function that triggers a warning for incoming P-waves greater than a certain magnitude threshold, thus providing a 2–3 s lead time before peak ground acceleration for regions close to an epicenter. Detailed shaking maps are produced by the NTU system within one or two minutes after an earthquake. Regions of high shaking indicated by the shalking map can indicate locations of damage and casualties and help estimate the damage incurred. The direction of earthquake ruptures are also potentially identified based on detailed shaking maps and strong motion records of the NTU system.