nils-herrmann/clean_scirepeval huggingface dataset:
A Survey on Design and Performance of Higher Order QAM Constellations
Year: 2020

As the research on beyond 5G heats up, we survey and explore power and bandwidth efficient modulation schemes in details. In the existing publications and in various communication standards, initially square quadrature amplitude modulation (SQAM) constellations (even power of 2) were considered. However, only the square constellations are not efficient for varying channel conditions and rate requirements, and hence, odd power of 2 constellations were introduced. For odd power of 2 constellations, rectangular QAM (RQAM) is commonly used. However, RQAM is not a good choice due to its lower power efficiency, and a modified cross QAM (XQAM) constellation is preferred as it provides improved power efficiency over RQAM due to its energy efficient two dimensional (2D) structure. The increasing demand for high data rates has further encouraged the research towards more compact 2D constellations which lead to hexagonal lattice structure based constellations, referred to as hexagonal QAM (HQAM) In this work, various QAM constellations are discussed and detailed study of star QAM, XQAM, and HQAM constellations is presented. Generation, peak and average energies, peak to average power ratio, symbol error rate, decision boundaries, bit mapping, Gray code penalty, and bit error rate of star QAM, XQAM, and HQAM constellations with different constellation orders are presented. Finally, a comparative study of various QAM constellations is presented which justifies the supremacy of HQAM over other QAM constellations. With this, it can be claimed that the use of the HQAM in various wireless communication systems and standards can further improve the performance targeted for beyond 5G wireless communication systems.
Investigation on the multiphase sink vortex Ekman pumping effects by CFD DEM coupling method
Year: 2020

The gas liquid solid multiphase sink vortex is a complex turbulent mechanical phenomenon, in which the pumping effects of Ekman boundary layer involved in the above process has the important scientific value and engineering significance. To address the matter, a coupled Computational Fluid Dynamic and Discrete Element Method (CFD DEM) method for the simulation of the multiphase sink vortex is proposed based on the realizable k e turbulent model and the soft sphere model. The suction and extraction regularities of gas liquid coupling process are analyzed to reveal the matter transfer mechanism of Ekman boundary layer. Then, the phenomenon for the particle sucked by sink vortex is investigated to obtain the Ekman pumping effects. Finally, the influences of Ekman pumping effects on particles with respect to different densities are studied to verify the validity and reliability of the proposed method. Numerical results demonstrate that the suction and extraction intensities constitute a data set that is dependent on the initial disturbance components; there is an apparent upwelling phenomenon in the liquid boundary layer, which is caused by the spiral coupling structure of Ekman boundary layer. The Ekman pumping process for particles has three typical stage: Ekman suction extraction state, Ekman horizontal pumping state, and Ekman upwelling state, wherein the flow patterns are dominated by the initial disturbance and appear a complex nonlinear turbulence features; with the particle density increasing, the effects of Ekman suction extraction state and horizontal pumping state are enhanced, but the Ekman upwelling effect for particle has apparent decreased.
A Semantic Enabled Platform for Realizing an Interoperable Web of Things
Venue: Sensors
Year: 2019

Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available. Consequently, service providers can only access vertical data silos that imply high costs and jeopardize their solutions market potential. It is necessary to transform the current situation with competing non interoperable IoT platforms into a common ecosystem enabling the emergence of cross platform, cross standard, and cross domain IoT services and applications. This paper presents a platform that has been implemented for realizing this vision. It leverages semantic web technologies to address the two key challenges in expanding the IoT beyond product silos into web scale open ecosystems: data interoperability and resources identification and discovery. The paper provides extensive description of the proposed solution and its implementation details. Regarding the implementation details, it is important to highlight that the platform described in this paper is currently supporting the federation of eleven IoT deployments (from heterogeneous application domains) with over 10,000 IoT devices overall which produce hundreds of thousands of observations per day.
Characterization and Comparison of Trench and Planar Silicon Carbide (SiC) MOSFET at Different Temperatures
Venue: 2018 IEEE Transportation Electrification Conference and Expo (ITEC)
Year: 2018

In this paper, the static and dynamic characteristics of discrete 650 V and 1200 V trench TO 247 SiC MOSFET is evaluated and compared with a similar current rating 1200 V planar gate discrete TO 247 SiC MOSFET. The new trench MOSFET has promising application for vehicle charging and auxiliary power supply application due to the lower on state resistance and lower capacitance. Static characteristics for these devices are evaluated using a curve tracer for different device junction temperature A common double pulse test (DPT) platform is developed to evaluate the switching loss at different device junction temperature ranging from 25degC to 175degC. The experimental setup and results are presented for different load currents and temperature.
One step synthesis of a Methylene Blue@ZIF 8 reduced graphene oxide nanocomposite and its application to electrochemical sensing of rutin
Venue: Microchimica Acta
Year: 2018

AbstractThe authors demonstrate the exploitation of reduced graphene oxide (RGO) as a template for immobilizing zeolitic imidazolate framework 8 (ZIF 8) crystals loaded with the electrochemical probe Methylene Blue (MB) The framework was deposited on the surface of RGO in a one pot process. Transmission electron microscopy, scanning electron microscopy and X ray diffraction were employed to characterize the nanocomposite. The electrochemical behavior of rutin at a glassy carbon electrode (GCE) modified with the nanocomposite was investigated by cyclic voltammetry and differential pulse voltammetry. The modified GCE displays high electrocatalytic activity toward rutin oxidation at a relatively low working potential (0.4 V vs. Ag/AgCl) Under the optimal conditions, the sensor has an amperometric response that is linear in the 0.1 to 100 mM rutin concentration range, with a 20 nM detection limit (at an S/N ratio of 3) The method was successfully applied to the determination of rutin in tablets and urine samples. Graphical abstractThe zeolitic imidazolate framework ZIF 8 was loaded with Methylene Blue and deposited on the surface of reduced graphene oxide. A glassy carbon electrode was modified with the nanocomposite and then used for the determination of rutin with a 20 nM detection limit and a linear range from 0.1 to 100 mM.
Post exceptional politics in agriculture: an examination of the 2013 CAP reform
Year: 2017

A core claim about agricultural policy making is that it is 'compartmentalized' and 'exceptional' In this picture, the policy process is insulated from other policy concerns, has a distinctive system of actors and institutional structures, and is rooted in extensive governmental intervention in the market and the redistribution of resources from taxpayers to food producers. Recently there have been suggestions that a 'post exceptional' agricultural politics has emerged, which is more market driven, has reduced state intervention, and where policies reflect influences relating to non food issues such as the environment. This contribution discusses the concepts of compartmentalization and exceptionalism and then applies 'indicators of change' to a case study of the 2013 reform of the Common Agricultural Policy (CAP) It concludes that the reform provides evidence for 'shallow' post exceptionalism where a historically persistent agricultural policy subsystem has opened up to new actors, incorporated some programme change but left the ideational framework largely intact.
'Blood from Stones' Censorship and the Reading Practices of South African Political Prisoners, 1960 1990
Year: 2008

This article shows how political prisoners undermined censorship in the apartheid jails of South Africa. The jail diaries, authorized biographies, autobiographies, prison memoirs, interviews, and prison letters of more than fifty political prisoners and two prison censors are analyzed to describe the reading practices of South African political prisoners. The article, demonstrating the ways in which readers regulate their own reading space, concludes that the books that ended up fortuitously or filtered by censors in prison libraries in South Africa and in the possession of political prisoners, profoundly affected their thinking. From information fragments the prisoners reconstructed news and life experiences denied to them by prison authorities. Reading in a way that subverted the intentions of the censors in effect allowed the prisoners to continue their political struggle.
Detecting Static and Dynamic Differences between Eyes Closed and Eyes Open Resting States Using ASL and BOLD fMRI
Venue: PloS one
Year: 2015

Resting state fMRI studies have increasingly focused on multi contrast techniques, such as BOLD and ASL imaging. However, these techniques may reveal different aspects of brain activity (e.g. static vs. dynamic) and little is known about the similarity or disparity of these techniques in detecting resting state brain activity. It is therefore important to assess the static and dynamic characteristics of these fMRI techniques to guide future applications. Here we acquired fMRI data while subjects were in eyes closed (EC) and eyes open (EO) states, using both ASL and BOLD techniques, at two research centers (NIDA and HNU) Static brain activity was calculated as voxel wise mean cerebral blood flow (CBF) using ASL, i.e. CBF mean, while dynamic activity was measured by the amplitude of low frequency fluctuations (ALFF) of BOLD, i.e. BOLD ALFF, at both NIDA and HNU, and CBF, i.e. CBF ALFF, at NIDA. We showed that mean CBF was lower under EC than EO in the primary visual cortex, while BOLD ALFF was higher under EC in the primary somatosensory cortices extending to the primary auditory cortices and lower in the lateral occipital area. Interestingly, mean CBF and BOLD ALFF results overlapped at the visual cortex to a very small degree. Importantly, these findings were largely replicated by the HNU dataset. State differences found by CBF ALFF were located in the primary auditory cortices, which were generally a subset of BOLD ALFF and showed no spatial overlap with CBF mean. In conclusion, static brain activity measured by mean CBF and dynamic brain activity measured by BOLD and CBF ALFF may reflect different aspects of resting state brain activity and a combination of ASL and BOLD may provide complementary information on the biophysical and physiological processes of the brain.
The Abiku Mystique The Metaphor of Subversive Narrative in Buchi Emecheta's
Year: 2013

African literature pervasively represents corporeal fragmentation; unstable and incoherent selves emerge from the collisive transcultural space of postcolonial existence. Buchi Emecheta's 1994 novel Kehinde dramatizes the tensions between the incoherent self and the quest for self realization. It is a novel of crossroads of cultures and traditions of crises of identifications variously experienced by its major characters. In this autobiographical narrative, the eponymous protagonist is engaged in intense resistance to dominant discourses and patriarchal institutions at home and in the diaspora. Kehinde assumes a heterodox nature akin to that of Soyinka's Abiku. Abiku, a primordial presence withcomplex, multiple, and contradictory identities and accretions, social, emotional, and cultural, serves as both a resistance trope and a theoretical frame for the recovery of disarticulated female identities in Emecheta's novel. The Abiku mystique involves the distinctive narration of fractured or subsumed identities embedded as a figuration of agency. The paradoxes of Abiku's existence offer a conceptual space; Abiku works as a thematic, aesthetic, and narratological device which destabilizes essentialist and unified identities of postcolonial Nigerian women.
Les Archives a l'Ere des Big Data: Les Enjeux de l'Archivage des Donnees Numeriques Massives
Venue: DTUC
Year: 2018

Big Data is now a cross cutting research topic in all disciplines related to digital as content and as technology too. They lie in the intersection between all the massive data captured, obtained, created by different means and of various origins. They represent an advanced step in the re development of information, particularly concerning data management and data retention issues. This upheaval due to these massive data has touched all sectors, particularly the archives. Indeed, given their volume, their speed of creation and their importance to the social, economic, scientific and cultural actors, the sorting, the treatment and the conservation of these data Massive e orts require memory capacity, new methods and techniques for processing, analyzing and managing particular flows. We will try in this article to bring some elements of primary answers on the modalities of generative multiplication. exponential of numerical data and archive in a mass of numeric data, data that are in flux and that occur in a sup speed.
A web based software educational tool for electronic instrumentation teaching
Venue: Comput. Appl. Eng. Educ.
Year: 2013

This article presents a new software tool for electronic instrumentation teaching. The software is concerned with the main concepts underlying instrumentation systems. It is based on Java applets and organized as a tutorial. It acts as a visual tool for interactive simulations. The tool covers, in a practical manner, all the stages of a basic electronic instrumentation system, the sensor, the signal conditioning, and the analog to digital conversion. It must be meant as a complement to classical teaching methodologies based on lectures, not as a substitute of such pedagogical strategies. The software helps students in learning principles of measurement systems, to improve the teaching learning process in the discipline.
Delamination analysis in high speed drilling of carbon fiber reinforced plastics (CFRP) using artificial neural network model
Year: 2008

The carbon fiber reinforced plastics (CFRP) are highly promising materials for the applications in aeronautical and aerospace industries. The delamination is a major problem associated with the drilling fiber reinforced composite materials, which reduce the structural integrity of the material. The present work focuses on the analysis of delamination behavior as a function of drilling process parameters at the entrance of the CFRP plates. The delamination analysis in high speed drilling is performed by developing an artificial neural network (ANN) model with spindle speed, feed rate and point angle as the affecting parameters. A multilayer feed forward ANN architecture, trained using error back propagation training algorithm (EBPTA) is employed for this purpose. Drilling experiments are conducted as per full factorial design using cemented carbide (grade K20) twist drills that serve as input output patterns for ANN training. The ANN model so developed is validated by presenting training and new testing input patterns. The validated ANN model is then used to generate the direct and interaction effect plots to analyze the delamination behavior. The simulation results illustrate the effectiveness of the ANN models to analyze the effects of drilling process parameters on delamination factor. The analysis also demonstrates the advantage of employing higher speed in controlling the delamination during drilling.
Web Security Using User Authentication Methodologies: CAPTCHA, OTP and User Behaviour Authentication
Year: 2019

When we refer to the Banking Systems then the security is at a higher stake since the time internet crossed roads with the banks. The data security is very critical to be managed since the last few years due to various hacking techniques. When we are so much dependent on web then it creates a dread of loss to our data. The statistics also reveal that 15 million people across United States become a victim to Identity Theft, online. There is a collective loss of $50 billion. 100 million Americans faced problems due to these online data thefts or Identity Thefts. The paper discusses the methodologies for CAPTCHA, OTP and UBA for user authentication and we also discuss about the web security through these methods.
Robust Stochastic Optimization The Synergy of Robust Optimization and Stochastic Programming
Year: 2019

We present a new mathematical optimization model known as the robust stochastic optimization (RSO) which unifies both stochastic programming and robust optimization in a synergistic and tractable framework that can be solved using the state of the art commercial optimization solvers. The model of uncertainty incorporates both discrete and continuous random variables, typically assumed in stochastic programming and robust optimization respectively. To address the non anticipativity of recourse decisions, we introduce the event wise recourse adaptations, which integrate the scenario tree adaptation originating from stochastic programming and the affine adaptation popularized in robust optimization. Our proposed event wise ambiguity set is rich enough to capture traditional statistic based ambiguity sets such as convex generalized moments, mixture distribution, ph divergence, Wasserstein (Kantorovich Rubinstein) metric, and also opens up novel machine learning based ones such as K means clustering. We also provide several interesting models that are unique in our framework including optimizing over the Hurwicz criterion and portfolio management with adaptive rebalancing. We develop a new algebraic modeling package, RSOME to facilitate implementation of RSO models.
ROTOR DYNAMIC ANALYSIS OF STEAM TURBINE ROTOR USING ANSYS
Year: 2014

Rotor dynamics is a field under mechanics. Mainly deals with the vibration of rotating structures. In recent days, the study about rotor dynamics has gained more importance within steam turbine industries. The main reason is steam turbine consists of many rotating parts constitutes a complex dynamic system. While designing rotors of high speed turbo machineries, it is of prime importance consider rotor dynamics characteristics in to account. And the world we are living in today is pushing the technology harder and harder. The products need to get better and today they also need to be friendlier to the environment. To get better products we need better analysis tools to optimize them and to get closer to the limit what the material can withstand. The modeling features for rotor and bearing support flexibility are described in this thesis. By integrating these characteristic rotor dynamics features into the standard FEAmodal, harmonic and transient analysis procedures found in ANSYS we can analyze and determine the design integrity of rotating equipment. Some ideas are presented to deal with critical speeds calculation using ANSYS. This Thesis shows how elements BEAM188 and COMBI214 are used to model the shaft and bearings, respectively.The purpose of a standard rotor dynamics analysis of Steam turbine rotor is to enable an engineer to characterize the lateral dynamics design characteristics of a given design. With the Campbell plots, we can determine critical speeds and system stability. These techniques, along with a same modeling and results are also calculated from TMS 050 to verify ANSYS result with testing result for unbalance response.
Biotechnological Approaches for Conservation of the Genus Pistacia
Year: 2017

Climate change with the combination of increased population growth, unplanned urbanization, habitat loss and degradation, pollution and diseases, overexploitation of valuable species are the major causes of the loss of plant biodiversity. Moreover, since environment and environmental factors will change faster than the most of the plant's adaptation, conservation strategies become critically essential for preservation of plant species. In this chapter, we described the current status of biotechnological conservation approaches for Pistacia species. Since in vitro conservation and most of cryopreservation methods rely on tissue culture based methods, we described here micropropagation, micrografting, and somatic embryogenesis procedures in addition to in vitro conservation and cryopreservation in Pistacia species. Because there is no one 'universal protocol, biotechnological conservation studies for Pistacia are still limited with a few species of the genus as described in this chapter. Development and optimization of appropriate techniques especially for long term preservation of different Pistacia species can lead to establish cryobanks to conserve germplasm. Furthermore, the developed technologies will provide to prevent possible genetic erosion of Pistacia species.
2D porphrinic covalent organic framework based aptasensor with enhanced photoelectrochemical response for the detection of C reactive protein.
Venue: Biosensors bioelectronics
Year: 2019

In this study, a novel photoelectrochemical (PEC) aptasensor based on two dimensional (2D) porphyrinic covalent organic frameworks (p COFs) for the label free detection of C reactive protein (CRP) is presented. The obtained p COFs possess high conductivity and an improved stability due to strong and rigid covalent linkages. The introduction of p COFs hinder the recombination of electrons and holes, decreasing their band gap (Eg) thereby which improved the photocurrent conversion efficiency. Compared with pure porphyrin, p COFs exhibited enhanced photocurrent intensity. An amplified photocurrent conversion efficiency and enhanced photocurrent results from H2O2, which act as active molecules and electron donors. As an unprecedented application of COFs in PEC bioanalysis, the detection of CRP with a PEC aptasensor is presented. The assembly of a CRP aptamer on the surface of Ag nanoparticles hinders the electron transfer, resulting in the decrease of the photocurrent response. This PEC aptasensor exhibits good analytical performances such as a rapid response, high stability, wide linear range and excellent selectivity, making COFs promising candidates for PEC bioanalysis.