Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal placement of PMUs & analytics on PMU data using ANN technique

Power system play a vital role in human life. The reliability of these power systems depends on the operating constraints & conditions. PMU (Phasor measurement units) utilizes synchronization signals provided by the GPS (global positioning system) satellites and deliver the voltage and currents phasors measured at a given node. To avoid the redundant use of PMUs, the optimal locations for the PMUs must be determined. The main objective of this research paper is to place a minimal number of PMUs, so that the system can be effectively observable & the implementation for on-line estimation of the power system and for security monitoring. The ANN technique utilizes synchrophasor is to carry out the contingency analysis by calculating the sensitivity factors. The same thing is verified with the help of Fast Decoupled Load Flow (FDLF), in MATLAB environment and contingency ranking is made. This method is very much effective in ranking the contingencies of a electrical power system. This was tried on IEEE-14 Bus system & the results were found to be effective.
New Challenges and Opportunities in Stream Processing: Transactions, Predictive Analytics, and Beyond: (Invited Keynote)

EXTENDED ABSTRACT Stream processing has been an area of ongoing research since the early 2000s. Fueled by industry’s growing interest in dealing with high-velocity big data in near real-time settings, there has been a resurgence of recent activity in both research and engineering of large-scale stream processing systems. In this talk, we will examine the state of the art, focusing in particular on key trends of the past five years with an outlook towards the next five years. I will also give examples from our own work, including stream processing in transactional settings as well as predictive time series analytics for the Internet of Things. Transactional stream processing broadly refers to processing streaming data with correctness guarantees. These guarantees include not only properties that are intrinsic to stream processing (e.g., order, exactly-once semantics), but also ACID properties of traditional OLTP-oriented databases, which arise in streaming applications with shared mutable state. In our recent work, we have designed and built the S-Store System, a scalable main-memory system that supports hybrid OLTP+streaming workloads with strict correctness needs [5]. A use case that best exemplifies the strengths of S-Store is real-time data ingestion [4]. Thus, I will also discuss the requirements of modern data ingestion and how to meet them using S-Store, especially within the context of our BigDAWG Polystore System [1, 6].
CUSTOM GRAPHICAL SIMULATORS FOR VHDL LOGIC DESCRIPTIONS AND THE ALTERA NIOS II PROCESSOR

This paper describes the rationale for devel- oping custom graphical simulators for courses in digital logic and computer architecture, discusses key features of these simulators in relation to the laboratory hardware for the two courses in question, and explores the learning benefits that can be obtained. The digital logic simulator models switch/pushbutton inputs and LED outputs, and it allows a custom circuit to be specified rapidly in a subset of the VHDL language using predefined signal names and flip-flop elements. The computer architecture simulator provides higher-level modeling of the execution behavior of a 32-bit processor with graphical depiction of register and memory contents. It simulates character input/output, and it models the switch, pushbutton, and LED features of laboratory hardware. When students in the two courses were surveyed about the custom simulators, a majority of them indicated a degree of enhancement to their learning.
A Novel Five-Leg Design for Performance Improvement of Three-Phase Presaturated Core Fault-Current Limiter

In this paper, a novel five-leg design of non-superconducting, three-phase, presaturated core fault-current limiter (PCFCL) is proposed based on the time-domain, electromagnetic finite-element simulations to overcome the main drawbacks of the well-known topologies of PCFCLs. These drawbacks are large volume of magnetic iron core, high total power loss under steady-state condition, high-induced voltage across the dc coil terminals during the fault condition, and the technical risks of high-temperature superconducting coil and cryogenics in the case of superconducting fault-current limiter (SFCLs). The general performance of PCFCL can be expressed through the steady-state power loss and voltage drop, and fault-current clipping ratio and the induced voltage across the dc coil terminals during the fault condition. Different topologies of three-phase PCFCLs are considered with the comparison of their limiting capability for different types of faults. The results reveal that the proposed design of PCFCL has superior properties in limiting any type of fault currents with reduced volume of the magnetic iron core, total power loss, and the induced voltage across the dc coil terminals in comparison with those of the well-known dual-core PCFCL design. Furthermore, a performance analysis of the novel five-leg design is considered throughout an extensive simulation of the constructive controlling parameters to study their relative effects on the general performance of operation.
Adversarial Examples Against Deep Neural Network based Steganalysis

Deep neural network based steganalysis has developed rapidly in recent years, which poses a challenge to the security of steganography. However, there is no steganography method that can effectively resist the neural networks for steganalysis at present. In this paper, we propose a new strategy that constructs enhanced covers against neural networks with the technique of adversarial examples. The enhanced covers and their corresponding stegos are most likely to be judged as covers by the networks. Besides, we use both deep neural network based steganalysis and high-dimensional feature classifiers to evaluate the performance of steganography and propose a new comprehensive security criterion. We also make a tradeoff between the two analysis systems and improve the comprehensive security. The effectiveness of the proposed scheme is verified with the evidence obtained from the experiments on the BOSSbase using the steganography algorithm of WOW and popular steganalyzers with rich models and three state-of-the-art neural networks.
Source sound determination in horizontal plane using human ears shape microphones

Human ears play a major role in localizing the sound they hear. The pinnae, have a distinguished shape in each person and have significant impact on sound localization. The early study on sound localization, they have been used array of microphone to determine direction of the sound. There are studies that use only 2 microphones and can calculate the angle of arrival of the sound. But they cannot tell if the sound is coming from the front or the back of the microphone. To determine the direction and the location from the front or back, the pinna has been added to the microphone. This paper proposes the autocorrelation function (ACF) to determine the front or back location of the sound source. The frequencies are also used in the range of human speech with the pinna-shape microphone. The experimental results showed that the results of ACF give us the different patterns between the sound recorded from the front and sound recorded from the back side of the mannequin. Thus, the direction and location of front or back can be determine by the proposed method.
Graphene coated LED based automatic street lighting system using Arduino microcontroller

This paper describes about efficient automatic street lighting system using Graphene coated (Light Emitting Diode) LED. Nowadays, LED street lighting is becoming more and more popular among developing countries. But the normal LEDs are not provided with heat sink which degrades the performance of overall lighting system. Here, we are introducing GaN based LED which acts as a heat sink and it is proved that it is 10% efficient than the normal LEDs. At present, street lights are illuminating at all the time unnecessarily even in the midnight and also in the absence of human beings or vehicles, it is merely a wastage of energy. In order to overcome this problem, we have introduced automatic street lighting system using Arduino-UNO microcontroller. In this paper, the intensity of the Graphene coated LED light is adjusted based on the requirement using LDR and PIR sensors via controller. An automatic street lighting system using Graphene coated LED conserves more energy and it is cheaper too. Simulation results are provided for adjusting the intensity of the controller using Arduino controller.
Detection of Babesia spp., Theileria spp. and Anaplasma ovis in Border Regions, northwestern China

Babesia spp. , Theileria spp. and Anaplasma ovis are important intracellular agents that are transmitted by tick bites. However, Babesia spp. , Theileria spp. and A. ovis in ticks have not been systematically reported along the border of northwestern China. In this study, a total of 1,084 adult ticks, including 134 Haemaphysalis punctata, 337 Hyalomma asiaticum, 233 Dermacentor nuttalli, 69 Rhipicephalus turanicus and 265 Dermacentor marginatus were collected from 11 counties or cities of Xinjiang Uygur Autonomous Region. The ticks were identified from morphological and molecular characteristics. Two fragments of 18S rRNA gene were used to determine the species level of Babesia and Theileria. Msp4 gene encoding major surface protein 4 was used to determine A. ovis. Of the 1,084 samples, five species of Babesia (B. occultans, B. caballi, B. motasi, B. major and Babesia sp. detected in this study), two kinds of Theileria (Theileria ovis and Theileria sp. detected in this study) and A. ovis with six phylogenic branches were detected in the border of northwestern China. Babesia occultans, first found in China, was first molecularly detected in D. nuttalli. Babesia caballi and Babesia sp. detected in this study were first molecularly detected in Hy. asiaticum. Genotype III of A. ovis was predominant in the border regions of northwestern China.
Seeded growth of single-crystal two-dimensional covalent organic frameworks

Covalent organic frameworks writ large Covalent organic framework (COF) materials have been difficult to characterize structurally and to exploit because they tend to form powders or amorphous materials. Ma et al. studied a variety of three-dimensional COFs based on imine linkages (see the Perspective by Navarro). They found that the addition of aniline inhibited nucleation and allowed the growth of crystals large enough for single-crystal x-ray diffraction studies. Evans et al. describe a two-step process in which nanoscale seeds of boronate ester–linked two-dimensional COFs can be grown into micrometer-scale single crystals by using a solvent that suppresses the nucleation of additional nanoparticles. Transient absorption spectroscopy revealed superior charge transport in these crystallites compared with that observed in conventional powders. Science, this issue p. 48, p. 52; see also p. 35 Micrometer-scale single crystals of two-dimensional boronate ester–linked frameworks can be grown in a two-step process. Polymerization of monomers into periodic two-dimensional networks provides structurally precise, layered macromolecular sheets that exhibit desirable mechanical, optoelectronic, and molecular transport properties. Two-dimensional covalent organic frameworks (2D COFs) offer broad monomer scope but are generally isolated as powders comprising aggregated nanometer-scale crystallites. We found that 2D COF formation could be controlled using a two-step procedure in which monomers are added slowly to preformed nanoparticle seeds. The resulting 2D COFs are isolated as single-crystalline, micrometer-sized particles. Transient absorption spectroscopy of the dispersed COF nanoparticles revealed improvement in signal quality by two to three orders of magnitude relative to polycrystalline powder samples, and suggests exciton diffusion over longer length scales than those obtained through previous approaches. These findings should enable a broad exploration of synthetic 2D polymer structures and properties.
190 Complete Genome Sequences and Papillomavirus 6 Based on 724 Isolates Global Genomic Diversity of Human

Human papillomavirus type 6 (HPV6) is the major etiological agent of anogenital warts and laryngeal papillomas and has been included in both the quadrivalent and nonavalent prophylactic HPV vaccines. This study investigated the global genomic diversity of HPV6, using 724 isolates and 190 complete genomes from six continents, and the association of HPV6 genomic variants with geographical location, anatomical site of infection/disease, and gender. Initially, a 2,800-bp E5a-E5b-L1-LCR fragment was sequenced from 492/530 (92.8%) HPV6-positive samples collected for this study. Among them, 130 exhibited at least one single nucleotide polymorphism (SNP), indel, or amino acid change in the E5a-E5b-L1-LCR fragment and were sequenced in full. A global alignment and maximum likelihood tree of 190 complete HPV6 genomes (130 fully sequenced in this study and 60 obtained from sequence repositories) revealed two variant lineages, A and B, and five B sublineages: B1, B2, B3, B4, and B5. HPV6 (sub)lineage-specific SNPs and a 960-bp representative region for whole-genome-based phylogenetic clustering within the L2 open reading frame were identified. Multivariate logistic regression analysis revealed that lineage B predominated globally. Sublineage B3 was more common in Africa and North and South America, and lineage A was more common in Asia. Sublineages B1 and B3 were associated with anogenital infections, indicating a potential lesion-specific predilection of some HPV6 sublineages. Females had higher odds for infection with sublineage B3 than males. In conclusion, a global HPV6 phylogenetic analysis revealed the existence of two variant lineages and five sublineages, showing some degree of ethnogeographic, gender, and/or disease predilection in their distribution.
Denoising ECG signal by complete EEMD adaptive noise

The ECG signals reflect all the electrical activities of the heart and are subjected to different kinds of noise. Hence denoising these signals is quite an important issue since the noise can hinder accurate diagnosis and detection of cardiac diseases. In this study, a novel strategy is proposed, based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) to remove Power Line Interference (PLI), with the performance being analyzed as well. The ECG signal is showed to be nonstationary and nonlinear. Therefore it is firstly decomposed by CEEMDAN to Intrinsic Mode Functions (IMFs), in order for problems of non-linearity and Mode Mixing issues in EMD must be solved. Then the first IMF is applied as a reference to different implementations of adaptive filters. Thus, solving the non-stationarity. Furthermore, by summing up the residual of the IMFs components, the first IMF is removed and the denoised signal constructed. The performance is compared with recent methods based on EEMD and measured by the Signal to Noise Ratio (SNR), correlation coefficient (CCR) and the Mean Square Error (MSE). Clean ECG records downloaded from the MIT-BIH Arrhythmia Database and the PLI noise are added and then denoised. It was founded that the SNR increased from 14.95241 to 27.295215 and the CCR increased from 0.984384 to 0.9991233 while MSE decreased from 0.141386 to 0.0341404, respectively for PLI noise. Results show that the proposed algorithm performs better than a recently developed algorithm.
Various schemes for optimizing beamforming design, power and spectrum allocation in cognitive radio networks-A survey

As the technology grows from wired networks to wireless networks, there is a phenomenal deployment of wireless devices all over the globe. Thus the radio spectrum become an emerging crisis for the communications in Wireless. As per the studies and analysis by Federal Communication commission most of the spectrum which is allocated for primary user are not utilized effectively thus underutilized. This Spectrum scarcity problem is addressed by the Cognitive Radio Technology which utilizes the unused spectrum among the secondary users without generating any type of hindrance or interference to the primary user thus satisfying the Quality of Service. There are several algorithms available to perform feasibility in beamforming design and Power allocation in Cognitive Radio networks. In this paper, different methods is presented and reviewed various optimization methods.
Adaptive developmental plasticity in rhesus macaques: the serotonin transporter gene interacts with maternal care to affect juvenile social behaviour

Research has increasingly highlighted the role that developmental plasticity—the ability of a particular genotype to produce variable phenotypes in response to different early environments—plays as an adaptive mechanism. One of the most widely studied genetic contributors to developmental plasticity in humans and rhesus macaques is a serotonin transporter gene-linked polymorphic region (5-HTTLPR), which determines transcriptional efficiency of the serotonin transporter gene in vitro and modifies the availability of synaptic serotonin in these species. A majority of studies to date have shown that carriers of a loss-of-function variant of the 5-HTTLPR, the short (s) allele, develop a stress-reactive phenotype in response to adverse early environments compared with long (l) allele homozygotes, leading to the prevalent conceptualization of the s-allele as a vulnerability allele. However, this framework fails to address the independent evolution of these loss-of-function mutations in both humans and macaques as well as the high population prevalence of s-alleles in both species. Here we show in free-ranging rhesus macaques that s-allele carriers benefit more from supportive early social environments than l-allele homozygotes, such that s-allele carriers which receive higher levels of maternal protection during infancy demonstrate greater social competence later in life. These findings provide, to our knowledge, the first empirical support for the assertion that the s-allele grants high undirected biological sensitivity to context in primates and suggest a mechanism through which the 5-HTTLPR s-allele is maintained in primate populations.
Towards viewpoint-oriented engineering for Industry 4.0: A standards-based approach

Digitalised production based on networked, cyber-physical systems is the basis of the fourth industrial revolution (“Industry 4.0”). Yet, the adoption of this technology in practice remains a challenge for many companies. One of the main obstacles is the high complexity of Industry 4.0 applications, whose engineering requires multidisciplinary expertise that is usually fragmented among different stakeholders. This paper proposes a viewpoint-oriented approach for engineering Industry 4.0 applications, aiming to better adapt system models to the various stakeholders and concerns. The approach uses a combination of existing or emerging standards in the areas of systems and software engineering (ISO/IEC/IEEE 42010:2011) and Industry 4.0 (RAMI 4.0, IEC 61131-3). On this basis, the paper elaborates the notion of viewpoints with respect to their modelling and implementation including an industrial use case.
Achieving the Rio target: CO2 abatement through fiscal policy in the UK

The research reported in this paper is an application of a large energy-environment-economy model2 of the UK to the medium-term issue of stabilising carbon dioxide (CO2) emissions at their 1990 levels by the year 2000, a commitment by the UK government made at the Earth Summit in Rio de Janeiro and taking the form of accession to the Climate Change Convention (the Rio Convention) in June 1992. This commitment has crystallised into a target of reducing emissions in the year 2000 by the equivalent of 10 million tonnes of carbon (mtc) below the level they would otherwise reach under a business-as-usual scenario (Department of the Environment, 1992, 1993 and 1994). Since there is considerable uncertainty in forecasting the level of CO2 emissions in 2000 (157-179 mtc compared with 160 mtc in 1990 — Department of the Environment (1992, p. 7); the 1990 figure has subsequently been revised to 158.6 mtc), it seems sensible to focus on such a target, rather than on achieving a particular level.
Techniques for power quality improvement by mitigation of harmonics

With the development in power electronic field, the use of non-linear electronic devices become popular. The main development can be seen in industrial and commercial sector in terms of low power consumption and more controllable process and management. But with these advantages, it causes to introduce harmonics in system. That's why; this paper focuses on the general system having harmonics due to non-linear loads and uses Tuned filter with Isolation transformer as Hybrid solution. This paper presents a simulation model with the different types of Tuned filters for mitigation of harmonics introduced in system due to presence of Non-linear load and also, a comparison is done in between various types of tuned filter as harmonic mitigation technique. The use of non-linear loads increases with increase in the technology level. It injects the harmonic contents in system. Thus, these injected harmonics can affect other connected system, that's why it should be eliminated or reduced at least up to permissible limits.
An Online Experimental Framework for Cooperative Relationships With a Real-Time Decision-Making and Rewarding Environment

This paper investigates interactions between game theoretical strategies and social relationships in real-time decision-making and rewarding environments. We propose an experimental framework based on techniques of web-based multiplayer online games for this purpose. In our framework, multiple human players, represented as particles in a two-dimensional space of social interactions, can modify their positions and game strategies for the prisoner’s dilemma in real time, and receive benefit or cost emerging from both game theoretical and social relationships with neighboring players. We report on experiments with human participants in different conditions of the payoff matrix, which reflects game structures, and the speed of each player, which reflects the ability to change her social relationship. We show that cooperative relationships emerge in real human groups regardless of experimental settings, and show their basic behavioral patterns. We further discuss relationships between behavioral characters of participants in the experiments and their psychological characters to see how their personalities can be reflected in their behavior in such a game theoretical framework, and show that a few psychological characters of participants might reflect their behavioral characters at least in part, but there were variations in these relationships between experimental groups.
A modular DC DC converter with medium frequency transformer for power conversion in offshore wind farms

Offshore wind power development using modular converters has great advantage. The complexity and bulkiness of the entire system, in using medium voltage applications can be reduced by interconnecting these structures. The configuration presented mainly consists of a permanent magnet synchronous generator connected to a passive rectifier, a medium frequency transformer based modular converter, then to grid via a svpwm controlled current source converter. The paper mainly concentrates on medium frequency transformer based dc-dc converter — the evenly distribution of power and voltage among the cascaded structure and also decoupling between power/voltage balancing of the modular converter. Finally, the results were evaluated by co-simulation in matlab and psim.