nils-herrmann/clean_scirepeval huggingface dataset:
Modeling technology of curved surface development for puffer fish
Year: 2020

The drag reduction mechanism of puffer epidermis was closely related to its real geometry. In order to solve the modeling problem of epidermal spines on the puffer surface, a modeling method for the expansion of puffer shape was proposed. The three dimensional scanning and non uniform rational B spline surface modeling technology was used to reconstruct the puffer model. According to the curvature characteristics, the surface mathematical equations including exponential, logarithmic, and sinusoidal functions were established based on the multinomial function. The surface was generated by a mathematical equation, and the surface was divided into several non uniform rational B spline patches according to curvature. After discretization, the point cloud Gaussian curvature and average value were calculated based on the implicit equation of moving least square surface, and whether the surface is approximately extensible or not was judged. Finally, the puffer surface was divided into 46 curved patches. In this article, the surface expansion algorithm gave priority to ensure the area unchanged, and four feature surfaces were selected according to the epidermal spines arrangement of the puffer surface. The results showed that the technique can simply and efficiently unfold the curved surface of the puffer fish, thus the mapping relationship between the epidermal spines on the surface and the plane was determined, which established a foundation for the accurate arrangement and modeling of the epidermal spines on the surface.
Role of the iron axial ligands of heme carrier HasA in heme uptake and release.
Venue: The Journal of Biological Chemistry
Year: 2013

An additional sentence should be inserted in the right column at the end of the "" "In addition, Yukl et al. (49) and Jepkorir et al. (50) propose amodel in HasAp from Pseudomonas aeruginosa in which heme is initially bound by the Tyr to form a high spin heme protein complex before coordination of the His ligand upon closing of the His loop over the heme." These additions do not result in any change in the conclusions of the article. 49. Yukl, E. T. Jepkorir, G. Alontaga, A. Y. Pautsch, L. Rodriguez, J. C. Rivera, M. andMoenne Loccoz, P. (2010) Kinetic and spectroscopic studies of hemin acquisition in the hemophore HasAp from Pseudomonas aeruginosa. Biochemistry 49, 6646 6654 50. Jepkorir, G. Rodri guez, J. C. Rui, H. Im, W. Lovell, S. Battaile, K. P. Alontaga, A. Y. Yukl, E. T. Moenne Loccoz, P. and Rivera, M. (2010) Structural, NMR spectroscopic, and computational investigation of hemin loading in the hemophore HasAp from Pseudomonas aeruginosa.  9872 THE JOURNAL OF BIOLOGICAL CHEMISTRY VOL. 288, NO. 4, p. 2190,  2013 (c) 2013 by The American Society for Biochemistry and Molecular Biology, Inc. Published in the U.S.A.
A Single Phase Transformerless Inverter With Charge Pump Circuit Concept for Grid Tied PV Applications
Venue: IEEE Transactions on Industrial Electronics
Year: 2017

This paper proposes a new single phase transformerless photovoltaic (PV) inverter for grid tied PV systems. The topology is derived from the concept of a charge pump circuit in order to eliminate the leakage current. It is composed of four power switches, two diodes, two capacitors, and an LCL output filter. The neutral of the grid is directly connected to the negative polarity of the PV panel that creates a constant common mode voltage and zero leakage current. The charge pump circuit generates the negative output voltage of the proposed inverter during the negative cycle. A proportional resonant control strategy is used to control the injected current. The main benefits of the proposed inverter are: 1) the neutral of the grid is directly connected to the negative terminal of the PV panel, so the leakage current is eliminated; 2) its compact size; 3) low cost; 4) the used dc voltage of the proposed inverter is the same as the full bridge inverter (unlike neutral point clamped (NPC) active NPC, and half bridge inverters) 5) flexible grounding configuration; 6) capability of reactive power flow; and 7) high efficiency. A complete description of the operating principle and analysis of the proposed inverter are presented. Experimental results are presented to confirm both the theoretical analysis and the concept of the proposed inverter. The obtained results clearly validate the performance of the proposed inverter and its practical application in grid tied PV systems.
Multiclass imbalanced learning with one versus one decomposition and spectral clustering
Venue: Expert Syst. Appl.
Year: 2020

In many real world applications, an algorithm needs to learn multiclass classification models from data with imbalanced class distributions. Multiclass imbalanced learning is currently receiving increased attention from researchers. In contrast to traditional imbalanced learning on binary datasets, multiclass imbalanced learning faces great challenges from the variety of changes in the class distributions as well as the inadequate performance of multiclass classification algorithms. In this paper, we propose a novel data preprocessing based method to solve this problem. The proposed method combines a one versus one (OVO) decomposition of class pairs and a spectral clustering technique. This method first decomposes a multiclass dataset into several binary class datasets. Then, it uses spectral clustering to divide the minority classes of binary class subsets into subspaces and oversamples them according to the characteristics of the data. Sampling based on spectral clustering takes into account the distribution of the data and effectively avoids oversampling outliers. After the data approximately reaches the equilibrium point, multiclass classifiers can be trained from these rebalanced data. We compared the proposed method with five state of the art multiclass imbalanced learning methods on seven multiclass datasets, using multiclass area under the ROC curve (MAUC) the precision of minor classes (Pmin) and the average precision of all classes (Pavg) as the performance metrics. The experimental results show that our proposed method has the best overall performance.
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
Year: 2021

Rough sets and rule induction in an incomplete and continuous information table are investigated under possible world semantics. We show an approach using possible indiscernibility relations, whereas the traditional approaches use possible tables. This is because the number of possible indiscernibility relations is finite, although we have the infinite number of possible tables in an incomplete and continuous information table. First, lower and upper approximations are derived directly using the indiscernibility relation on a set of attributes in a complete and continuous information table. Second, how these approximations are derived are described applying possible world semantics to an incomplete and continuous information table. Lots of possible indiscernibility relations are obtained. The actual indiscernibility relation is one of possible ones. The family of possible indiscernibility relations is a lattice for inclusion with the minimum and the maximum indiscernibility relations. Under the minimum and the maximum indiscernibility relations, we obtain four kinds of approximations: certain lower, certain upper, possible lower, and possible upper approximations. Therefore, there is no computational complexity for the number of values with incomplete information. The approximations in possible world semantics are the same as ones in our extended approach directly using indiscernibility relations. We obtain four kinds of single rules: certain and consistent, certain and inconsistent, possible and consistent, and possible and inconsistent ones from certain lower, certain upper, possible lower, and possible upper approximations, respectively. Individual objects in an approximation support single rules. Serial sinM. Nakata (B) Faculty of Management and Information Science, Josai International University, 1 Gumyo, Togane, Chiba 283 8555, Japan e mail: nakatam@ieee.org H. Sakai Department of Mathematics and Computer Aided Sciences, Faculty of Engineering, Kyushu Institute of Technology, Tobata, Kitakyushu 804 8550, Japan  Hara Department of Informatics, Tokyo University of Information Sciences, 4 1 Onaridai, Wakaba ku, Chiba 265 8501, Japan e mail: hara@rsch.tuis.ac.jp
Nuevos metodos en la ensenanza comunicativa de ELE: Reflexiones sobre la tecnologia educativa.
Year: 2019

Cuando se evoca la tematica del oral, se toca una de las destrezas linguisticas mas esenciales relacionadas con la produccion del discurso. A traves de la ensenanza de esta asignatura, se pretende mejorar dos propias partes del oral, que son: La comprension auditiva y la expresion oral. Conviene recordar que a lo largo de muchos anos, la ensenanza del espanol como lengua extranjera se baso en el estudio de la lengua escrita. Actualmente surgio la necesidad de aumentar la atencion hacia la lengua oral. Ciertamente, se empezo a proponer y a adoptar nuevas medidas tales como los modelos didacticos denominados: Enfoque comunicativo y enfoque por tareas. De hecho, inspirandose de las estrategias mas recientes, el docente argelino procura llevar su aula en la realidad externa. Son diferentes tecnicas usadas que favorecen la participacion del aprendiz. De hecho, la tecnologia educativa volvio a ser un importante campo de conocimiento. Sin embargo, es una de las herramientas mas usadas en las aulas de ELE. Nuestro objetivo es focalizar el enfoque comunicativo que es considerado como el mas funcional. Tambien indagar sobre la integracion de los medios tecnologicos de educacion. Nuestra tematica gira alrededor de las nuevas estrategias didacticas adaptadas al perfil del ser humano moderno.
Review on cybersickness in applications and visual displays
Venue: Virtual Reality
Year: 2016

Cybersickness is an affliction common to users of virtual environments. Similar in symptoms to motion sickness, cybersickness can result in nausea, headaches, and dizziness. With these systems becoming readily available to the general public, reports of cybersickness have increased and there is a growing concern about the safety of these systems. This review presents the current state of research methods, theories, and known aspects associated with cybersickness. Current measurements of incidence of cybersickness are questionnaires, postural sway, and physiological state. Varying effects due to display and rendering modes, such as visual display type and stereoscopic or monoscopic rendering, are compared. The known and suspected application aspects that induce cybersickness are discussed. There are numerous potential contributing application design aspects, many of which have had limited study, but field of view and navigation are strongly correlated with cybersickness. The effect of visual displays is not well understood, and application design may be of greater importance.
Fragility and Conflict: On the Front Lines of the Fight against Poverty
Year: 2020

Fragility and conflict pose a critical threat to the global goal of ending extreme poverty. Between 1990 and 2015, successful development strategies reduced the proportion of the world's people living in extreme poverty from 36 to 10 percent. But in many fragile and conflict affected situations (FCS) poverty is stagnating or getting worse. The number of people living in proximity to conflict has nearly doubled worldwide since 2007. In the Middle East and North Africa, one in five people now lives in such conditions. The number of forcibly displaced persons worldwide has also more than doubled in the same period, exceeding 70 million in 2017. If current trends continue, by the end of 2020, the number of extremely poor people living in economies affected by fragility and conflict will exceed the number of poor people in all other settings combined. This book shows why addressing fragility and conflict is vital for poverty goals and charts directions for action. It presents new estimates of welfare in FCS, filling gaps in previous knowledge, and analyzes the multidimensional nature of poverty in these settings. It shows that data deprivation in FCS has prevented an accurate global picture of fragility, poverty, and their interactions, and it explains how innovative new measurement strategies are tackling these challenges. The book discusses the long term consequences of conflict and introduces a data driven classification of countries by fragility profile, showing opportunities for tailored policy interventions and the need for monitoring multiple markers of fragility. The book strengthens understanding of what poverty reduction in FCS will require and what it can achieve.
Research on Cultivating the Ability of Striving for Rebounds and Training Methods for High School Students
Year: 2012

With the continuous development of basketball sports and improve,fights for the rebound is taken more and more seriously,the rebound control quality,directly affects the result of the match.This article uses the literature material law,through to the middle school basketball training in the rebound technical problems are discussed,aimed at the middle school basketball training of rebound in teaching,training provided some suggestions.
Neural Source filter based Waveform Model for Statistical Parametric Speech Synthesis
Venue: ICASSP 2019 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2019

Neural waveform models such as the WaveNet are used in many recent text to speech systems, but the original WaveNet is quite slow in waveform generation because of its autoregressive (AR) structure. Although faster non AR models were recently reported, they may be prohibitively complicated due to the use of a distilling training method and the blend of other disparate training criteria. This study proposes a non AR neural source filter waveform model that can be directly trained using spectrum based training criteria and the stochastic gradient descent method. Given the input acoustic features, the proposed model first uses a source module to generate a sine based excitation signal and then uses a filter module to transform the excitation signal into the output speech waveform. Our experiments demonstrated that the proposed model generated waveforms at least 100 times faster than the AR WaveNet and the quality of its synthetic speech is close to that of speech generated by the AR WaveNet. Ablation test results showed that both the sine wave excitation signal and the spectrum based training criteria were essential to the performance of the proposed model.
Performance Evaluation of an Indoor Positioning Scheme Using Infrared Motion Sensors
Venue: Inf.
Year: 2014

Internet of Things (IoT) for Smart Environments (SE) is a new scenario that collects useful information and provides convenient services to humans via sensing and wireless communications. Infra Red (IR) motion sensors have recently been widely used for indoor lighting because they allow the system to detect whether a human is inside or outside the sensors' range. In this paper, the performance of a position estimation scheme based on IR motion sensor is evaluated in an indoor SE. The experimental results show that we can track the dynamic position of a pedestrian in straight moving model as well as two dimensional models. Experimental results also show that higher performance in accuracy and dynamic tracking in real indoor environment can be achieved without other devices.
A Solution for Large Scale Multi Object Tracking
Venue: IEEE Transactions on Signal Processing
Year: 2020

A large scale multi object tracker based on the generalised labeled multi Bernoulli (GLMB) filter is proposed. The algorithm is capable of tracking a very large, unknown and time varying number of objects simultaneously, in the presence of a high number of false alarms, as well as missed detections and measurement origin uncertainty due to closely spaced objects. The algorithm is demonstrated on a simulated tracking scenario, where the peak number objects appearing simultaneously exceeds one million. Additionally, we introduce a new method of applying the optimal sub pattern assignment (OSPA) metric to determine a meaningful distance between two sets of tracks. We also develop an efficient strategy for its exact computation in large scale scenarios to evaluate the performance of the proposed tracker.
A survey on empathetic dialogue systems
Venue: Inf. Fusion
Year: 2020

Dialogue systems have achieved growing success in many areas thanks to the rapid advances of machine learning techniques. In the quest for generating more human like conversations, one of the major challenges is to learn to generate responses in a more empathetic manner. In this review article, we focus on the literature of empathetic dialogue systems, whose goal is to enhance the perception and expression of emotional states, personal preference, and knowledge. Accordingly, we identify three key features that underpin such systems: emotion awareness, personality awareness, and knowledge accessibility. The main goal of this review is to serve as a comprehensive guide to research and development on empathetic dialogue systems and to suggest future directions in this domain.
Supplementary value of ensiled brewers spent grain used as replacement to cotton seed cake in the concentrate diet of lactating crossbred dairy cows.
Venue: Tropical animal health and production
Year: 2020

The aim of this study was to investigate the effects of ensiled brewers spent grain (BSG) when used as replacement to cotton seed cake in the concentrate diet of lactating crossbred dairy cows. Eight early lactating F1 Boran X Friesian cows were used in a short term feeding trial to identify optimum level of ensiled BSG substitution of cotton seed cake (0, 33, 66, and 100% in iso nitrogenous diets. A 4 x 4 double Latin square design was used to analyze the data set generated from the feeding and digestibility trials. The results showed that as the level of ensiled BSG replacement to cotton seed cake increased, daily intakes on the natural pasture hay: 8.1 (T1) vs 7.6 (T2) 6.0 (T3) and 5.1 (T4) total feed dry matter: 14.6 (T1) vs 14.0 (T2) 12.9 (T3) and 12.2 (T4) crude protein (CP) 2.0 (T1) vs 1.9 (T2) 1.8 (T3) and 1.7 (T4) neutral detergent fiber (NDF) 8.4 (T1) vs 8.2 (T2) 7.4 (T3) and 6.8 (T4) and acid detergent fiber (ADF) 4.8 (T1) vs 4.5 (T2) 3.8 (T3) and 3.3 (T4) decreased (P 0.05) However, estimated metabolizable energy (EME) intakes (129 vs 126) and body weight of the animals (465 vs 467) on the control diet and dietary T2 (33% BSG replacement for cottonseed cake) were comparable (P 0.05) Thereafter, differences in daily EME intakes and body weight changes decreased with an increase in the level of ensiled BSG in the concentrate diet (P 0.05) compared with both the control and animals on T2. Ensiled BSG, on the other hand, substantially improved (P 0.05) total ration's apparent digestibility of dry matter (DM) 629 (T1) vs 659 (T3) 686 (T4) CP: 676(T1) vs 690(T3) 738(T4) NDF: 524 (T1) vs 544 (T3) 581 (T4) and ADF: 341 (T1) vs 350 (T2) 392 (T3) 440(T4) and daily milk yield: 14.5 (T1) vs 15.4 (T4) and milk production efficiency: 0.98 (T1) vs 1.11 (T3) and 1.26 (T4) So, ensiled BSG can be recommended to fully replace cotton seed cake from the concentrate diet of lactating dairy cows under local conditions. Additional research is needed to minimize and/or avoid body weight loss, milk fat, and total solids.
OPTIMALISASI SISTEM LAYANAN PENGADILAN BERBASIS ELEKTRONIK GUNA MENJAMIN KETERBUKAAN INFORMASI MENUJU PERADILAN YANG MODERN
Year: 2019

Abstrak Teknologi di era revolusi industri 4.0 menyebabkan penggunaan teknologi informasi menjadi kebutuhan utama. Dalam meningkatkan kualitas pelayanan publik, Mahkamah Agung melakukan pembenahan administrasi peradilan yang salah satunya diimplementasikan pada layanan sistem informasi penelusuran perkara (SIPP) dan Electronic Court (E Court) Penelitian ini bertujuan untuk mencari solusi dalam mengoptimalkan sistem layanan pengadilan berbasis elektronik guna menjamin keterbukan informasi menuju peradilan yang modern. Metode penulisan yang digunakan adalah metode legal research, berupa peraturan perundang undangan, buku, jurnal, dan publikasi bereputasi mutakhir. Hasil penelitian menunjukan bahwa Pertama, berdasarkan perspektif hukum SIPP dan E Court dalam sistem layanan pengadilan berbasis elektronik di Indonesia belum sepenuhnya berjalan dengan baik. Kedua, strategi untuk mengoptimalkan sistem layanan pengadilan berbasis elektronik guna menjamin keterbukaan informasi yang dilakukan dengan upaya sebagai berikut: (1) penguatan sumber daya manusai melalui pelatihan yang berkala dan terintegrasi; (2) pemberian fasiltias coaching bagi pihak yang berpekara; dan (3) pengintegrasian sistem SIPP dan ECourt menjadi satu pintu.  Media Elektronik; Pelayanan Publik; Revolusi Industri 4. Sistem
Optimal sizing study of hybrid wind/PV/diesel power generation unit
Year: 2011

In this paper, a methodology of sizing optimization of a stand alone hybrid wind/PV/diesel energy system is presented. This approach makes use of a deterministic algorithm to suggest, among a list of commercially available system devices, the optimal number and type of units ensuring that the total cost of the system is minimized while guaranteeing the availability of the energy. The collection of 6 months of data of wind speed, solar radiation and ambient temperature recorded for every hour of the day were used. The mathematical modeling of the main elements of the hybrid wind/PV/diesel system is exposed showing the more relevant sizing variables. A deterministic algorithm is used to minimize the total cost of the system while guaranteeing the satisfaction of the load demand. A comparison between the total cost of the hybrid wind/PV/diesel energy system with batteries and the hybrid wind/PV/diesel energy system without batteries is presented. The reached results demonstrate the practical utility of the used sizing methodology and show the influence of the battery storage on the total cost of the hybrid system.
Inertial Navigation Aided Single Satellite Highly Dynamic Positioning Algorithm
Venue: Sensors
Year: 2019

Nowadays, research on global navigation satellite systems (GNSS) has reached a certain level of maturity to provide high precision positioning services in many applications. Nonetheless, there are challenging GNSS denial environments where a temporarily deployed single satellite positioning system is a promising choice. To further meet the emergency call of highly dynamic targets in such situations, an augmented single satellite positioning algorithm is proposed in this paper. First, the initial location of the highly dynamic target is found by real time displacement feedback from the inertial navigation system (INS) Then, considering the continuity of position change, and taking advantage of the high accuracy and robustness of the unscented Kalman filter (UKF) target location is through iteration and fusion. Comparing this proposed method with the least squares Newton iterative Doppler single satellite positioning system and the pseudorange rate assisted method under synthetic error conditions, the positioning error of our algorithm was 10% less than the other two algorithms. This verified the validation of our algorithm in the single satellite system with highly dynamic targets.