nils-herrmann/clean_scirepeval huggingface dataset:
Influence of diesel fuel blended with biodiesel produced from waste cooking oil on diesel engine performance

Biodiesel from edible waste cooking oil (waste cooking oil methyl ester WCOME) has been produced via trans esterification process. The effect of various fuel blends containing the conventional diesel fuel and the produced WCOME on diesel engine performance has been evaluated experimentally. The study investigated the effect of WCOME blending ratio on viscosity and sooting propensity of the biodiesel diesel fuel mixture. The engine performance has been expressed in terms of the in cylinder pressure data as well as the engine mechanical and environmental aspects measured at engine rated speed (1500 rpm) and different engine loads. The main results of the current work showed that, the location and value of the in cylinder peak pressure depends mainly on the engine load and the biodiesel blending ratio. The best value of Brake Specific Energy Consumption (BSEC) is attained at blended fuel containing 20% WCOME (B20) where the maximum brake thermal efficiency is also observed. While there was a range of blending ratio from B20 to B50 throughout the best engine environmental behavior is attained. Results indicated that, the use of neat biodiesel fuel (B100) at different engine loads leads to an increase of BSEC by about 8% an increase of engine smoke opacity by about 15% a decrease of NOx emissions by about 10% with slight decrease of CO emissions and a decrease of the unburned hydrocarbons by about 15% The most recommended WCOME biodiesel blending ratios vary from 30% to 50% for better engine performance and emission characteristics. In this recommended blending ratios, the engine performance provides the following results in comparison with the corresponding values for neat fuel around 10% higher BSFC, insignificant change in ebth, around 3% higher BSEC, and 2% lower TExh, while the corresponding engine emissions include 25% lower CO, 20% lower UHC, 6% lower NOx, and 20% higher smoke opacity.
Turn On Oscillation Damping for Hybrid IGBT Modules

In a hybrid IGBT module with SiC diodes as free wheeling diodes, high frequency oscillation occurs during turn on due to the fast switching transient of SiC diode and the resonance between circuit parasitic inductances and the junction capacitance of SiC diode. Such oscillation causes EMI noise which may affect the performance of the system. Methods to mitigate the turn on oscillation are studied. Firstly, the effect of gate drive parameters on turn on oscillation is investigated with respect to different gate voltages and gate charging currents. Then a novel turn on oscillation suppression method is proposed with combination of damping circuit and active gate driver. The proposed oscillation suppression method can achieve the lowest EMI noise while remaining the advantage of lower switching loss brought by SiC diodes. Detailed theoretical analysis of the turn on oscillation is conducted, and experimental results are given to verify the effectiveness of the proposed oscillation suppression method.
Junction Temperature Extraction Approach With Turn Off Delay Time for High Voltage High Power IGBT Modules
Venue: IEEE Transactions on Power Electronics

Thermo sensitive electrical parameter (TSEP) approaches are widely employed in the junction temperature extraction and prediction of power semiconductor devices. In this paper, the turn off delay time is explored as an indicator of a TSEP to extract the junction temperature from high power insulated gate bipolar transistor (IGBT) modules. The parasitic inductor LeE between the Kelvin and power emitter terminals of an IGBT module is utilized to extract the turn off delay time. Furthermore, the monotonic dependence between the junction temperature and turn off delay time is investigated. The beginning and end point of the turn off delay time can be determined by monitoring the induced voltage veE across the inductor LeE. A dynamic switching characteristic test platform for high power IGBT modules is used to experimentally verify the theoretical analysis. The experimental results show that the dependency between IGBT junction temperature and turn off delay time is near linear. It is established that the turn off delay time is a viable TSEP with good linearity, fixed sensitivity, and offers nondestruction on line IGBT junction temperature extraction.
Intersectionality of Marginalization and Inequality: A Case Study of Muslims in India

Marginalization is a process that leads to sidelining of a certain community/individual to the periphery of the social space that eventually constrain their life choices at political space, social negotiation, and economic bargaining. It is a complex contested umbrella term is inextricably linked with the concept of inequality within the marginalized communities. In fact, inequality and marginalization are usually at interface in that they both with interacts and reinforces each other. Religious minority groups are amongst those who encounter severe exclusion, discrimination and oppression. In case of Indian Muslims as a religious marginalized community, these two concepts overlap. However, concern with 'marginalization' is relatively recent and it is imperative to check the development trajectory on the marginalized groups. As considerable evidence exists, a process of 'marginalization' of minority communities exists in almost all societies and nothing warrants that the same is not true of Muslims in India to a greater or a lesser degree. While discussing social structure of Indian Muslims prominent scholars like Imtiaz Ahmad and Zoya Hasan brought forth the theoretical debate "Can there be a category called Dalit Muslims" However, there are different and distinct categories of 'marginalization' which sometimes intersect each other and therefore essentially limit the possibility about a proper and comprehensive diagnosis, thereby, making it difficult to resist the actual power relations. This study explores the systemic processes through which Muslims are being marginalized systematically in different domains of life.
Pseudopolynomial iterative algorithm to solve total payoff games and min cost reachability games
Venue: Acta Informatica

Quantitative games are two player zero sum games played on directed weighted graphs. Total payoff games that can be seen as a refinement of the well studied mean payoff games are the variant where the payoff of a play is computed as the sum of the weights. Our aim is to describe the first pseudo polynomial time algorithm for total payoff games in the presence of arbitrary weights. It consists of a non trivial application of the value iteration paradigm. Indeed, it requires to study, as a milestone, a refinement of these games, called min cost reachability games, where we add a reachability objective to one of the players. For these games, we give an efficient value iteration algorithm to compute the values and optimal strategies (when they exist) that runs in pseudo polynomial time. We also propose heuristics to speed up the computations.
Analisis Peningkatan Kualitas pada Rantai Pasok Buah Pepaya Calina

Due to the fact that post harvest handling of local fruits especially in Calina papaya supply chain (IPB 9) has experience problems that can affect the value of its quality appearance, quality improvement is absolutely required. The purposes of this research are 1) Identifying the key attributes of Calina papaya quality improvement based on desires of consumers and to know the level of customer satisfaction using Quality Function Deployment (QFD) 2) Analyzing the causes of Calina papaya quality problems, and 3) Analyzing strategies or ways to improve the quality of Calina papaya in Indonesia. The results of this research show that there are three main attributes of customer satisfaction; namely, the sweet taste, color of fruit meat, and texture of fruit meat. Supply chain activities that have the highest interests of rate based on analysis of QFD are the maintenance (value 521) of cultivation. There are two attributes that have mismatches of quality; bruise and pests diseases, caused by the raw materials, management, labor, environment, machine and method. The highest priority that can be chosen as the alternative strategy is increasing production capacity, product quality, and food safety assurance by expanding the distribution network.  Calina papaya, quality function deployment, strategy, quality
The Partial Power Control Algorithm of Underwater Acoustic Sensor Networks Based on Outage Probability Minimization

The high outage probability of an underwater wireless sensor may lead to high energy consumption. How to reduce the outage probability should be considered for underwater acoustic sensor networks (UASNs) where battery change is very difficult. Power control, which is one of the technologies to effectively reduce the outage probability, has also been developed for UASNs. However, when using the power control method with the maximum power to transmit packets, the slow fading of the signal in UASNs leads to serious accumulative interference in the receiver, which in turn leads to an even higher outage probability. Another challenge in UASNs is the complex acoustic channel condition with time space frequency variation and uncertain TL, which make it difficult to obtain the channel status information (CSI) To address these issues, a novel partial power control (PPC) algorithm based on outage probability minimization in UASNs is proposed. The proposed algorithm captures transmission loss (TL) using the Markov chain Monte Carlo (MCMC) method and estimates CSI in the next moment using AR prediction. The simulation results show that the proposed algorithm can effectively reduce the accumulative interference to the receiver and then reduce the outage probability by 19.3% at the maximum.
Novel epoxy/metal phthalocyanines nanocomposite coatings for corrosion protection of carbon steel

In this study, epoxy/metal phthalocyanines nanocomposites (NiPc/Epoxy, CuPc/Epoxy, and ZnPc/Epoxy) are employed to protect carbon steel corrosion in 3.5% NaCl solution. The corrosion performances of the nanocomposites coatings were evaluated by using electrochemical impedance spectroscopy (EIS) open circuit potential (OCP) and scanning electron microscopy (SEM) measurements. The mechanical property of the coating system was investigated using nanoindentation technique. The results indicated that the incorporation of metal phthalocyanines pigments into epoxy resin coating significantly enhances the corrosion resistance as well as the hardness of epoxy coatings. Metal phthalocyanines pigments are able to cure the defect in epoxy resin and prevent the diffusion of corrosive electrolyte to carbon steel substrate. It was found that NiPc/Epoxy nanocomposite gave the best protection performance than others.
Liquid crystalline metal phthalocyanines: Structural organization on the substrate surface

The use of metallo phthalocyanines (MPcs) in technological applications requires certain methodological approaches for thin film fabrication. Among these applications the implementation of MPc films is in electronic devices such as organic field effect transistors (OFETs) and photovoltaic (PV) devices. For such applications the control of alignment and ordering of MPc molecules within the films remains a considerable challenge. This review provides an overview of films growth of mesogenic MPcs offering systematic analysis of the influence of different factors on the structural organization of liquid crystalline phthalocyanine films, including phthalocyanines molecular structure, regimes of heating, substrate materials, and type of interfaces. The achievements in the development of methods and approaches for the formation of liquid crystalline phthalocyanine films with controllable alignment and ordering are discussed in sufficient details.
Impact of Consumer Beliefs on Beef Buying Intention in Pakistan An application of the Theory of Planned Behavior

This paper aims to investigate the effects of the beef buyers' beliefs, using the theory of planned behavior (TPB) Paper uses deductive approach. Empirically, a model of consumer behavior for beef in the Pakistan is estimated using regression analysis and its results and implications are discussed. Results of the study implied that "evaluative belief" was the most important determinant of beef buying intention, followed by affective belief, subjective norms, and perceived behavioral control but subjective norm had no effect on the beef. The survey approach is a non probability sample; therefore care must be exercised while making inferences about causality and representativeness. The results are of great worth for academicians, food industry managers and government authorities. The findings emphasized the need for effective marketing communication, government authorities to launch public food safety education to consumers and strict implementation of consumer protection laws. The study is an original research with regards to its potential contributions of the behavioral aspects of the beef buying.
Spectrum Estimation from Samples
Venue: ArXiv

We consider the problem of approximating the set of eigenvalues of the covariance matrix of a multivariate distribution (equivalently, the problem of approximating the "population spectrum" given access to samples drawn from the distribution. The eigenvalues of the covariance of a distribution contain basic information about the distribution, including the presence or lack of structure in the distribution, the effective dimensionality of the distribution, and the applicability of higher level machine learning and multivariate statistical tools. We consider this fundamental recovery problem in the regime where the number of samples is comparable, or even sublinear in the dimensionality of the distribution in question. First, we propose a theoretically optimal and computationally efficient algorithm for recovering the moments of the eigenvalues of the population covariance matrix. We then leverage this accurate moment recovery, via a Wasserstein distance argument, to show that the vector of eigenvalues can be accurately recovered. We provide finite sample bounds on the expected error of the recovered eigenvalues, which imply that our estimator is asymptotically consistent as the dimensionality of the distribution and sample size tend towards infinity, even in the sublinear sample regime where the ratio of the sample size to the dimensionality tends to zero. In addition to our theoretical results, we show that our approach performs well in practice for a broad range of distributions and sample sizes.
Frequency Estimation From Arbitrary Time Samples
Venue: IEEE Transactions on Signal Processing

We consider the problem of estimating the line spectrum of a signal from finitely many time domain samples. We present a gridless algorithm for solving the total variation minimization approach associated with this problem. Unlike the related previous results, our method does not require the sampling instants to lie on an uniform grid. The resulting algorithm is a semidefinite program, structurally similar to some of the existing methods. One key observation made in our analysis also allows us to develop a gridless version of the SPICE algorithm. The simulation results demonstrate the superiority of these in performance compared to other related methods.
Spectrum estimation with missing values: A regularized nuclear norm minimization approach
Venue: Int. J. Wavelets Multiresolution Inf. Process.

In this paper, we consider estimation of a power spectrum from noise corrupted spectrum samples on uniform grids of frequencies with missing values. We propose two schemes based on the regularized nuclear norm minimization in combination with a recent subspace identification algorithm. The proposed schemes estimate the model order and the missing spectrum values in one step and are robust to large amplitude noise over short data records. Although this estimation problem can be cast as a spectrum estimation problem from nonuniformly spaced measurements and the algorithms developed for this type of data can be used, the identification example of this paper shows that the incomplete data formulation yields more accurate results. The properties of one of the proposed schemes are illustrated in an application example concerned with low pass modeling of transformer current.
Analysis of car to bicycle approach patterns for developing active safety devices
Venue: Traffic injury prevention

To reduce the severity of injuries and the number of cyclist deaths in traffic accidents, active safety devices providing cyclist detection are considered to be effective countermeasures. The features of car to bicycle collisions need to be known in detail to develop such safety devices.  The study investigated near miss situations captured by drive recorders installed in passenger cars. Because similarities in the approach patterns between near miss incidents and real world fatal cyclist accidents in Japan were confirmed, we analyzed the 229 near miss incident data via video capturing bicycles crossing the road in front of forward moving cars. Using a video frame captured by a drive recorder, the time to collision (TTC) was calculated from the car's velocity and the distance between the car and bicycle at the moment when the bicycle initially appeared.  The average TTC in the cases where bicycles emerged from behind obstructions was shorter than that in the cases where drivers had unobstructed views of the bicycles. In comparing the TTC of car to bicycle near miss incidents to the previously obtained results of car to pedestrian near miss incidents, it was determined that the average TTC in car to bicycle near miss incidents was significantly longer than that in car to pedestrian near miss incidents.  When considering the TTC in the test protocol of evaluation for safety performance of active safety devices, we propose individual TTCs for evaluation of cyclist and pedestrian detections, respectively. In the test protocols, the following 2 scenarios should be employed: bicycle emerging from behind an unobstructed view and bicycle emerging from behind obstructions.
A Low Profile High Gain and Wideband Filtering Antenna With Metasurface
Venue: IEEE Transactions on Antennas and Propagation

A low profile, high gain, and wideband metasurface (MS) based filtering antenna with high selectivity is investigated in this communication. The planar MS consists of nonuniform metallic patch cells, and it is fed by two separated microstrip coupled slots from the bottom. The separation between the two slots together with a shorting via is used to provide good filtering performance in the lower stopband, whereas the MS is elaborately designed to provide a sharp roll off rate at upper band edge for the filtering function. The MS also simultaneously works as a high efficient radiator, enhancing the impedance bandwidth and antenna gain of the feeding slots. To verify the design, a prototype operating at 5 GHz has been fabricated and measured. The reflection coefficient, radiation pattern, antenna gain, and efficiency are studied, and reasonable agreement between the measured and simulated results is observed. The prototype with dimensions of 1.3 l0 x 1.3 l0 x 0.06 l0 has a 10 dB impedance bandwidth of 28.4% an average gain of 8.2 dBi within passband, and an out of band suppression level of more than 20 dB within a very wide stop band.
Wideband RCS Reduction of a Slot Array Antenna Using Polarization Conversion Metasurfaces
Venue: IEEE Transactions on Antennas and Propagation

A new approach to reducing the monostatic radar cross section (RCS) and preserving the radiation characteristics of a slot array antenna by employing polarization conversion metasurfaces (PCMs) is presented in this communication. The PCM is arranged in a chessboard configuration consisting of fishbone shaped element. It is placed on the surface of the slot array antenna. The characteristics and mechanism of the RCS reduction are analyzed. Simulated and experimental results show that the monostatic RCS reduction band of the antenna with PCM ranges between 6.0 and 18.0 GHz for normally impinging both x and y polarized waves. The radiation characteristics of the antenna are well preserved simultaneously in terms of the impedance bandwidth, radiation patterns, and realized boresight gains.
The Elements of Fashion Style
Venue: UIST

The outfits people wear contain latent fashion concepts capturing styles, seasons, events, and environments. Fashion theorists have proposed that these concepts are shaped by design elements such as color, material, and silhouette. A dress may be "bohemian" because of its pattern, material, trim, or some combination of them: it is not always clear how low level elements translate to high level styles. In this paper, we use polylingual topic modeling to learn latent fashion concepts jointly in two languages capturing these elements and styles. Using this latent topic formation we can translate between these two languages through topic space, exposing the elements of fashion style. We train the polylingual topic model (PLTM) on a set of more than half a million outfits collected from Polyvore, a popular fashion based social net work. We present novel, data driven fashion applications that allow users to express their needs in natural language just as they would to a real stylist and produce tailored item recommendations for these style needs.
Investigating Journal Citation Network with Centrality Measures in the Public Administration and Policy Field

Writing high quality papers and publishing them at prestigious academic journals would be something that every scholar strives for. This study made a network with nine academic journals in South Korea in the field of public administration and public policy and analyzed the influence of academic journals through social network analysis. Using centrality measures, such as degree centrality, beta centrality, and eigenvector centrality, this study found that Korean Public Administration Review has the highest influence on the journal network, followed by Korean Public Studies Review. However, different choice of centrality measure led to different ranking of journals in terms of their influence.
CITATION ANALYSES OF DOCTORAL DISSERTATION OF PUBLIC ADMINISTRATION: A STUDY OF PANJAB UNIVERSITY, CHANDIGARH

The present study analysed 7490 citations appended in the 60 Ph.D. theses of Public Administration submitted to Panjab University, Chandigarh, for the award of doctoral degree during 2002 2012. The study analysed the several parameters such as authorship pattern of the citations, form of literature cited, half life of books and journals and compiled a rank list of journals in Public Administration. The study found that the highest number of citations to research work by single authors was higher in case of both books (2782, 87.02% and journals (1785, 87.12% Books comprised the highest citations (3197, 42.68% followed by journals (2049, 27.36% Bradford's law of scattering was used to identify the core journals in the field of Public Administration.