bluuebunny/crossref_metadata_2025_split huggingface dataset:
IoT Based Wind/Solar Hybird Inverter
Authors: Kumar S. Ajeeth , G. Shabarish , Kannan A. Kishore 
Published: March 2020

Paper deals with power control of a wind and solar hybrid generation system for connection operation with electric distribution system. Power control strategy is to extract the maximum energy available from varying condition of wind speed and solar irradiance while maintaining power quality at a safety level. In order to verify the maximum power variable speed control is come for wind turbine and maximum power is applied for PV system. Inverter transfers the energy from the wind turbine and PV array into the grid by keeping common dc voltage constant. To ensure safety these inverters automatically shut down in the event of: High/Low AC-voltage; High/Low frequency; IOT is a key feature in which safety measurement is current and voltage. The results show the control performance and behavior of the wind/PV system .solar and wind are major possible ways were energy level are stored in battery, we implement to ensure that power transmission ways in hybrid pv/wind power are stored properly in batteries. Our aim is to monitor the current and voltage by means of IOT. The wave distribution of voltage and current is checked rapidly by using IOT. Non regular checking of voltage and current leads to total damage. And so we ensure that damage are monitored over IOT, variable power raise and drop are checked over by IOT. PV and wind power.
Heavy Metal Uptake of Corn Irrigated with Human Urine
Authors: Factura Horacio Sabejon 
Published: March 2020

<p>Pit latrine (PL) is one of the most common disposal systems for human excreta in low-income countries but because it is a hole in the ground, infiltration of liquid effluent into the soil can continuously occur. Poor sanitation systems permit the spread of heavy metals in urine to water bodies especially the groundwater. This study investigated the accumulation of heavy metals in shoots of corn plants irrigated with urine. A pot experiment with corn was conducted under greenhouse conditions. Urine was diluted to 3:1 ratio (water and urine respectively) and was compared to control (water only). Using Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), heavy metals such as Boron, Barium, Cobalt, Copper, Iron, Manganese, Nickel, Silicon, Strontium and Zinc were detected in shoots of all plants with contents ranging from 0.22 to 2,487.44 milligram (mg) per kilogram (kg). The higher amounts detected in urine irrigated plants than the control proved the presence of the metals in the urine. Reuse of urine will definitely benefit farmers while at the same time reduce the risk of heavy metal contamination in groundwater.</p>
Design of Robust Load Frequency Controller for Multi-Area Interconnected Power System Using SDO Software
Authors: Gopi Pasala , Reddy P. Linga 
Published: March 2020

The response of the load frequency control problem in multi-area interconnected electrical power system is much more complex with increasing size, changing structure and increasing load. This paper deals with Load Frequency Control of three area interconnected Power system incorporating Reheat, Non-reheat and Reheat turbines in all areas respectively. The response of the load frequency control problem in a multi-area interconnected power system is improved by designing PID controller using different tuning techniques and proved that the PID controller which was designed by Simulink Design Optimization (SDO) Software gives the superior performance than other controllers for step perturbations. Finally the robustness of controller was checked against system parameter variations..
Review on Recent Advances in Titanium Dye Oxide Nanoparticles for Dye Sensitized Solar Cell Applications
Authors: Chandran Divya 
Published: March 2020

<p>Alternate energy source becomes a crucial for green energy solution against ever increasing demand. Dye Sensitized solar cell is another promising option toward green energy providing opportunity to explore natural dye extracts from plants. This review explores recent developments in the field of Dye Sensitized solar cell technology specifically with sensitizer synthesized from plants which are also found in India. Anthocyanin, betalain, chlorophyll and carotenoids are among the most common plant pigments explored as sensitizers. The review of different attempts on fabrication of natural dye based solar cells implies that titanium dioxide (TiO<sub>2</sub>) nano particles can be used as photoanode, platinum (Pt) as counter electrode and iodine/iodide electrolyte. Plant pigments are highly pH sensitive and can alter solar cell performance based on its extraction method, concentration and its ability to anchor with photoanode. Stability of dye, absorption in near IR range and leakage of liquid electrolyte are few of the challenges ahead. However, natural dye is biodegradable and non-toxic having most of the extraction process harmless to environment. In addition, natural dye has the promising future as it is abundant. </p>
Hybrid Photovoltaic and Wind Power System with Battery Management System using Fuzzy Logic Controller
Authors: Venkateshkumar M. , Raghavan R. 
Published: March 2020

<span lang="EN-US">In recent year, the development of hybrid renewable energy sources has the important role of power generation. This paper focused on design of hybrid PV / Wind power system and its battery management system. The fuzzy logic control based battery management system has been designed for effective power utilization. The proposed control to operate the battery charging and discharging mode during non-linear power generation. The battery will charge whenever the renewable energy power is greater than to consumer load power as well as the battery will discharge whenever the renewable energy power is lesser than to consumer load power. The proposed model will be simulated using Matlab environment and analysis the proposed system results. Finally, simulation results are evaluated and validating the effectiveness of the proposed controller.</span>
Feature Selection Using Evolutionary Functional Link Neural Network for Classification
Authors: Sahu Amaresh , Pattnaik Sabyasachi 
Published: March 2020

<p>Computational time is high for Multilayer perceptron (MLP) trained with back propagation learning algorithm (BP) also the complexity of the network increases with the number of layers and number of nodes in layers. In contrast to MLP, functional link artificial neural network (FLANN) has less architectural complexity, easier to train, and gives better result in the classification problems. The paper proposed an evolutionary functional link artificial neural network (EFLANN) using genetic algorithm (GA) by eliminating features having little or no predictive information. Particle swarm optimization (PSO) is used as learning tool for solving the problem of classification in data mining. EFLANN overcomes the non-linearity nature of problems by using the functionally expanded selected features, which is commonly encountered in single layer neural networks. The model is empirically compared to MLP, FLANN gradient descent learning algorithm, Radial Basis Function (RBF) and Hybrid Functional Link Neural Network (HFLANN) . The results proved that the proposed model outperforms the other models.</p>
Classification of Content based Medical Image Retrieval Using Texture and Shape feature with Neural Network
Authors: Maniar Sweety , Shah Jagdish S. 
Published: March 2020

Medical image classification and retrieval systems have been finding extensive use in the areas of image classification according to imaging modalities, body part and diseases. One of the major challenges in the medical classification is the large size images leading to a large number of extracted features which is a burden for the classification algorithm and the resources. In this paper, a novel approach for automatic classification of fundus images is proposed. The method uses image and data pre-processing techniques to improve the performance of machine learning classifiers.<em> </em>Some predominant image mining algorithms such as Classification, Regression Tree (CART), Neural Network, Naive Bayes (NB), Decision Tree (DT) K-Nearest Neighbor. The performance of MCBIR systems using texture and shape features efficient. . The possible outcomes of a two class prediction be represented as True positive (TP), True negative (TN), False Positive (FP) and False Negative (FN).
Improved speed response of DC motor via intelligent techniques
Authors: Rashag Hassan Farahan 
Published: March 2020

<p>The classical Proportional- Integral (PI) control for Direct Current (DC) motor causes slow response of actual speed with high overshoot and undershoot which leads to sluggishness of the system. To minimize the problem of PI controller, intelligent technique based on hybrid neural network sliding mode control NN-SMC is suggested. The benefits of SMC are that it is simple, and tough to parameter deviations as compared with other controllers. In this paper, the neural network NN is used to minimize the error between reference speed and actual speed. In addition, the SMC aim is to control and optimize the voltage that is supplies the DC motor which guarantees the robust performance of the speed controller under disturbances. The proposed method for the speed control is first calculated and executed to DC motor by using MATLAB SIMULINK. The results of the suggested NN-SMC are compared with the traditional PI controller. The results obviously show the supremacy of NN-SMC over PI controller.</p>
Optimization of transmission signal by artificial intelligent
Authors: Rashag Hassan Farahan , Ali Mohammed H. 
Published: March 2020

<p>In this method, radial basis function network RBFNN is an artificial intelligent which is used to identify and classify the communication system performance. RBFNN is one type of neural network which has activation functions. It consists of three layer input layer, hidden layer and output linear combination. One of the main problems of communication system is that it causes slow response for sending signal via the transmission devices. Therefore, the artificial intelligent by RBFNN is used to optimize the transmission signal. The input signal is trained and testing by neurons with weight and this lead to provide linear output. The simulation results have the optimization specifics over the traditional communication transmission devices.</p>
Fotografia e escrita
Authors: Brandini Laura Taddei 
Published: March 2020

A proposta deste artigo é fazer uma releitura da Câmara clara(1980), de Roland Barthes, tendo em vista a teia de relações que essa obra cria ligando a fotografia, a escrita e o luto. Para tanto, na esteira de numerosos críticos, defendo sua compreensão não como um texto teórico, mas literário, em que o escritor expõe o caminho reflexivo que percorre para tentar reencontrar sua mãe, morta. O diferencial deste texto com relação à fortuna crítica sobre esse, que foi o último livro que Barthes publicou em vida, reside em evidenciar como da contemplação da fotografia o escritor passa à escrita da mesma, que é a escrita do « nada a dizer ». Nesse processo, o tempo, enquanto elemento da narrativa, tem papel fundamental, como minhas análises do texto barthesiano demonstrarão.
A Winged Word on Marriage
Authors: Lin Lijuan 
Published: March 2020

Abstract
A foreign saying on marriage became widely known in China through Qian Zhongshu’s 1947 novel Fortress Besieged. As the novelist tells us, this saying has its source in both English and French literature, and in its different versions, marriage is either likened to a besieged fortress or a bird cage. This paper examines the origin and transmission of the saying in Greek, Arabic and Syriac sources, and argues that this saying originated in the so-called literature of the Christianized Socratic-Cynic philosophy, which once flourished in Syria. It became popular in the Byzantine and Arabic world after having been included into several famous Greek and Arabic gnomologies. Then it was introduced into modern languages, developed into different versions, finally came to China and became a household word among Chinese people.
The Role of North Korea in China’s Civil War: The Soviet-led North Korean Assistance to the CPC in the Northeast Theater, 1946-1948
Authors: Nisimov Tomer 
Published: March 2020

Abstract
Previous studies of China’s civil war have concentrated on different aspects and causes leading to the Communist victory and focused on political, economic, and military explanations. Few studies, however, have examined the features of foreign intervention and assistance to the Communist Party of China and their contribution to the latter’s success. Sino-Soviet relations and cooperation during the war have received the attention of several studies, but the role of North Korea in the war has remained obscure. As information regarding North Korea’s actions during China’s civil war remains largely inaccessible, few studies have debated the question of whether North Korea had ever deployed its forces in China’s Northeast in order to assist their Chinese comrades. Relying on military and intelligence documents from the Republic of China, this article shows how by the time of the Soviet withdrawal from China’s Northeast, the USSR had become resolute about turning North Korea into a militarized state in order to protect its own interests in the region and assist the Chinese Communists.
Processes Controlling Sea Surface Temperature Variability of Ningaloo Niño
Authors: Guo Yaru , Li Yuanlong , Wang Fan , Wei Yuntao , Rong Zengrui 
Published: March 2020

AbstractA high-resolution (3–8 km) regional oceanic general circulation model is utilized to understand the sea surface temperature (SST) variability of Ningaloo Niño in the southeast Indian Ocean (SEIO). The model reproduces eight Ningaloo Niño events with good fidelity and reveals complicated spatial structures. Mesoscale noises are seen in the warming signature and confirmed by satellite microwave SST data. Model experiments are carried out to quantitatively evaluate the effects of key processes. The results reveal that the surface turbulent heat flux (primarily latent heat flux) is the most important process (contribution > 68%) in driving and damping the SST warming for most events, while the roles of the Indonesian Throughflow (~15%) and local wind forcing are secondary. A suitable air temperature warming is essential to reproducing the reduced surface latent heat loss during the growth of SST warming (~66%), whereas the effect of the increased air humidity is negligibly small (1%). The established SST warming in the mature phase causes increased latent heat loss that initiates the decay of warming. A 20-member ensemble simulation is performed for the 2010/11 super Ningaloo Niño, which confirms the strong influence of ocean internal processes in the redistribution of SST warming signatures. Oceanic eddies can dramatically modulate the magnitudes of local SST warming, particularly in offshore areas where the “signal-to-noise” ratio is low, raising a caution for evaluating the predictability of Ningaloo Niño and its environmental consequences.
Rainfall and DSD Parameters Comparison between Micro Rain Radar, Two-Dimensional Video and Parsivel2 Disdrometers, and S-Band Dual-Polarization Radar
Authors: Adirosi Elisa , Baldini Luca , Tokay Ali 
Published: March 2020

AbstractA well-designed deployment of well-maintained surface instruments as well as abundant rainfall provided an excellent dataset with which to evaluate the Micro Rain Radar (MRR) performance for estimating raindrop size distribution (DSD) and its integral rainfall parameters with respect to the consolidated devices during the Iowa Flood Studies (IFloodS) field campaign. The MRR was collocated with two-dimensional video disdrometer (2DVD) and Autonomous Parsivel2 Unit (APU) at three different sites located at 5–70-km distances from the National Aeronautics and Space Administration’s S-band dual-polarization Doppler radar (NPOL). A comparative study between MRR, 2DVD, APU, and NPOL was conducted including all rainy minutes as well as minutes of stratiform rain and convective rain. Considering 2DVD as a primary reference, a good agreement was evident for reflectivity between MRR’s lowest reliable height and 2DVD with an absolute bias of less than 2 dB even in convective rain except for one site. For rainfall rate, the percent absolute bias between MRR and 2DVD ranged between 25% and 35% in stratiform rain and about 10% higher in convective rain. Agreement for mean mass-weighted raindrop diameter was good (bias less than 0.1 mm), whereas MRR overestimated the normalized intercept parameter of the gamma DSD [mean bias among the three sites was −0.13 log(mm−1 m−3)]. The agreement between MRR and APU was slightly worse than the one between MRR and 2DVD. When the horizontal and differential reflectivities of NPOL were compared with the ones derived from the MRR DSD resampled within the radar volume, we found an absolute bias of approximately 3 and 0.4 dB, respectively.
Assimilation of GOES-16 Radiances and Retrievals into the Warn-on-Forecast System
Authors: Jones Thomas A. , Skinner Patrick , Yussouf Nusrat , Knopfmeier Kent , Reinhart Anthony , Wang Xuguang , Bedka Kristopher , Smith William , Palikonda Rabindra 
Published: March 2020

AbstractThe increasing maturity of the Warn-on-Forecast System (WoFS) coupled with the now operational GOES-16 satellite allows for the first time a comprehensive analysis of the relative impacts of assimilating GOES-16 all-sky 6.2-, 6.9-, and 7.3-μm channel radiances compared to other radar and satellite observations. The WoFS relies on cloud property retrievals such as cloud water path, which have been proven to increase forecast skill compared to only assimilating radar data and other conventional observations. The impacts of assimilating clear-sky radiances have also been explored and shown to provide useful information on midtropospheric moisture content in the near-storm environment. Assimilation of all-sky radiances adds a layer of complexity and is tested to determine its effectiveness across four events occurring in the spring and summer of 2019. Qualitative and object-based verification of severe weather and the near-storm environment are used to assess the impact of assimilating all-sky radiances compared to the current model configuration. We focus our study through the entire WoFS analysis and forecasting cycle (1900–0600 UTC, daily) so that the impacts throughout the evolution of convection from initiation to large upscale growth can be assessed. Overall, assimilating satellite data improves forecasts relative to radar-only assimilation experiments. The retrieval method with clear-sky radiances performs best overall, but assimilating all-sky radiances does have very positive impacts in certain conditions. In particular, all-sky radiance assimilation improved convective initiation forecast of severe storms in several instances. This work represents an initial attempt at assimilating all-sky radiances into the WoFS and additional research is ongoing to further improve forecast skill.
Tin and Oxygen-Vacancy Co-doping into Hematite Photoanode for Improved Photoelectrochemical Performances
Authors: Xiao Chenhong , Zhou Zhongyuan , Li Liujing , Wu Shaolong , Li Xiaofeng 
Published: March 2020

AbstractHematite (α-Fe2O3) material is regarded as a promising candidate for solar-driven water splitting because of the low cost, chemical stability, and appropriate bandgap; however, the corresponding system performances are limited by the poor electrical conductivity, short diffusion length of minority carrier, and sluggish oxygen evolution reaction. Here, we introduce the in situ Sn doping into the nanoworm-like α-Fe2O3 film with ultrasonic spray pyrolysis method. We show that the current density at 1.23 V vs. RHE (Jph@1.23V) under one-sun illumination can be improved from 10 to 130 μA/cm2 after optimizing the Sn dopant density. Moreover, Jph@1.23V can be further enhanced 25-folds compared to the untreated counterpart via the post-rapid thermal process (RTP), which is used to introduce the defect doping of oxygen vacancy. Photoelectrochemical impedance spectrum and Mott-Schottky analysis indicate that the performance improvement can be ascribed to the increased carrier density and the decreased resistances for the charge trapping on the surface states and the surface charge transferring into the electrolyte. X-ray photoelectron spectrum and X-ray diffraction confirm the existence of Sn and oxygen vacancy, and the potential influences of varying levels of Sn doping and oxygen vacancy are discussed. Our work points out one universal approach to efficiently improve the photoelectrochemical performances of the metal oxide semiconductors.
Family reunion via error correction: an efficient analysis of duplex sequencing data
Authors: Stoler Nicholas , Arbeithuber Barbara , Povysil Gundula , Heinzl Monika , Salazar Renato , Makova Kateryna D , Tiemann-Boege Irene , Nekrutenko Anton 
Published: March 2020

Abstract
Background
Duplex sequencing is the most accurate approach for identification of sequence variants present at very low frequencies. Its power comes from pooling together multiple descendants of both strands of original DNA molecules, which allows distinguishing true nucleotide substitutions from PCR amplification and sequencing artifacts. This strategy comes at a cost—sequencing the same molecule multiple times increases dynamic range but significantly diminishes coverage, making whole genome duplex sequencing prohibitively expensive. Furthermore, every duplex experiment produces a substantial proportion of singleton reads that cannot be used in the analysis and are thrown away.

Results
In this paper we demonstrate that a significant fraction of these reads contains PCR or sequencing errors within duplex tags. Correction of such errors allows “reuniting” these reads with their respective families increasing the output of the method and making it more cost effective.

Conclusions
We combine an error correction strategy with a number of algorithmic improvements in a new version of the duplex analysis software, Du Novo 2.0. It is written in Python, C, AWK, and Bash. It is open source and readily available through Galaxy, Bioconda, and Github: https://github.com/galaxyproject/dunovo.