cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1319408
title: Analytical Evaluation of Generalized Predictive Control Algorithms Using a Full Vehicle Multi-Body Dynamics Model For Mobility Enhancement

description: ABSTRACT: This paper discusses research conducted by the U.S. Army Research Laboratory (ARL) - Vehicle Technology Directorate (VTD) on advanced suspension control. ARL-VTD has conducted research on advanced<br>suspension systems that will reduce the chassis vibration of ground vehicles while maintaining tire contact with the road surface. The purpose of this research is to reduce vibration-induced fatigue to the Warfighter as well as to improve the target aiming precision in-theater. The objective of this paper was to explore the performance effectiveness of various formulations of the Generalized Predictive Control (GPC) algorithm in a simulation<br>environment. Each version of the control algorithm was applied to an identical model subjected to the same<br>ground disturbance input and compared to a baseline passive suspension system. The control algorithms<br>considered include a GPC with Implicit Disturbances, GPC with Explicit Disturbances, and GPC with Preview<br>Control. A two-axle tactical vehicle with independent front and rear suspensions was modeled in the TruckSim<br>full-vehicle dynamics simulator. The control algorithms were compared based on their effectiveness in controlling peak acceleration and overall average acceleration over a range of vehicle speeds. The algorithms demonstrated significant reductions in the chassis acceleration and pitch of the full-vehicle model. Keywords: Vehicle vibration control, vehicle dynamics simulation, control algorithm, advanced suspension, generalized predictive control.
DOI: 10.6084/m9.figshare.1319408.v1
title: Analytical Evaluation of Generalized Predictive Control Algorithms Using a Full Vehicle Multi-Body Dynamics Model For Mobility Enhancement

description: ABSTRACT: This paper discusses research conducted by the U.S. Army Research Laboratory (ARL) - Vehicle Technology Directorate (VTD) on advanced suspension control. ARL-VTD has conducted research on advanced<br>suspension systems that will reduce the chassis vibration of ground vehicles while maintaining tire contact with the road surface. The purpose of this research is to reduce vibration-induced fatigue to the Warfighter as well as to improve the target aiming precision in-theater. The objective of this paper was to explore the performance effectiveness of various formulations of the Generalized Predictive Control (GPC) algorithm in a simulation<br>environment. Each version of the control algorithm was applied to an identical model subjected to the same<br>ground disturbance input and compared to a baseline passive suspension system. The control algorithms<br>considered include a GPC with Implicit Disturbances, GPC with Explicit Disturbances, and GPC with Preview<br>Control. A two-axle tactical vehicle with independent front and rear suspensions was modeled in the TruckSim<br>full-vehicle dynamics simulator. The control algorithms were compared based on their effectiveness in controlling peak acceleration and overall average acceleration over a range of vehicle speeds. The algorithms demonstrated significant reductions in the chassis acceleration and pitch of the full-vehicle model. Keywords: Vehicle vibration control, vehicle dynamics simulation, control algorithm, advanced suspension, generalized predictive control.
DOI: 10.6084/m9.figshare.1319404
title: Detection Of Dyslexia From Eye Movements Using Anfis & Bbwpe Feature Extraction Methods

description: ABSTRACT - The control of attention orienting was studied in children with specific reading disorder (SRD)<br>or dyslexia, and it was compared with that of normal readers. The main goal of the study was to propose and<br>implement new feature extraction method for extracting the features efficient from the signals and it is classified<br>using the classifier from eye movement signal. Eye movements of 76 school children were measured using<br>videooculographic (VOG) technique during one reading and four nonreading tasks. Videooculographic (VOG)<br>is used to measure the Eye movement’s signals of children through single reading and four non reading tasks.<br>Time and frequency domain features were extracted and various feature selection methods were performed to<br>select subsets of significant features. The best basis-based wavelet packet entropy method (BBWPE) is proposed<br>in this research for extracting the features from the eye movement signal. The improved ANFIS based on PSO is<br>used as a classifier. The parameters used for finding accuracy of the proposed methodology are sensitivity,<br>specificity and p-value. The Experimentation confirmed that the proposed ANFIS with BBWPE model has good<br>detection results than ANFIS with MAR and ANN model in terms of parameters like sensitivity, specificity,<br>detection accuracy and p-value.<br>KEYWORD - Learning disability, Feature Extraction, Classification, Adaptive Neuro-Fuzzy Inference System<br>(ANFIS), Best Basis-based Wavelet Packet Entropy method (BBWPE)
DOI: 10.6084/m9.figshare.1319407
title: Growth and characterization of EDTA doped BupropionHydrochloride

description: ABSTRACT: Good transparent single crystals of EDTA doped BupropionHydrochloride are successfully grown<br>by using slow evaporation technique at room temperature with double distilled water as solvent. The vibrational<br>modes of the molecules are elucidated from FTIR spectra. Its optical behavior has been examined by uv-vis<br>spectral analysis, which shows the absence of absorbance in the visible region. Thermal properties of EDTA<br>doped BPH crystal were carried out by TGA and DTA technique which indicate the thermal stability of the<br>sample. The effect of the influence of dopant on the surface morphology of EBPH crystal faces are analyzed by<br>Scanning Electron Microscope (SEM). The energy dispersive X-ray analysis(EDAX) of EBPH show the almost<br>same composition. The grown crystals were subjected to powder X – ray diffraction studies to identify the<br>morphology and structure.<br>Keywords: crystal growth, X –ray diffraction, optical absorption studies, Thermo gravimetric analysis.
DOI: 10.6084/m9.figshare.1319405
title: Characterization of leachates of the special handling wastes with different storage ages

description: ABSTRACT: In present work, the aim was to evaluate the physical-chemical composition of a leachate from<br>two special handling wastes of different ages; two years and two days of storage in the city of Tepic, Nayarit,<br>Mexico. Some physical parameters (turbidity, density, particle size and suspended solids), chemical (pH, Z<br>potential, electrolytic conductance, chemical oxygen demand, total organic carbon, metals (Cd, Cu, Fe, Hg, Pb<br>y Ni), ammonia nitrogen, Kjeldahl nitrogen, inorganic nitrogen and total nitrogen) parameters were<br>determined. The results agreed other previous studies described within the bibliography and values were<br>observed within the ranks given by the authors.<br>Key words: Leachate, Z potential, urban solid waste, special handling waste.<br>*Corresponding author Tel +52 311 211 88 21 E-mail address: paz.rosales@gmail.com
DOI: 10.6084/m9.figshare.1319406
title: Performance Evaluation of Household Refrigerator using CuO Nanoparticle Lubricant Mixture and various Compressor Oils with Different Condenser Modes

description: The objective of this paper was to study the performance of household refrigerator with 0.06%<br>mass fraction CuO nanoparticle-lubricant mixture and different types of compressor oil having both air-cooled<br>and water-cooled condenser. The experiment was done using HFC134a as the refrigerant, CuO nanoparticles,<br>Polyol-ester oil (POE) oil which is used as the conventional lubricant in the household refrigerator and SUNISO<br>3GS mineral oil as the lubricant alternatively. The result indicates that the refrigerator performance had<br>improved while using CuO nanoparticle-lubricant mixture. The performance was also improved when<br>HFC134a/SUNISO 3GS mineral oil system was used instead of HFC134a/POE oil system and there was also an<br>enhancement when water-cooled condenser was used instead of the conventional air-cooled condenser on all<br>load conditions. The HFC134a/CuO/SUNISO 3GS mineral oil system works normally and safely in the<br>refrigerator. HFC134a/CuO/SUNISO 3GS mineral oil system reduced the energy consumption between 12% and<br>19% when compared with the HFC134a/POE oil system and between 9% and 14% while working with watercooled condenser on various load conditions. There was also an enhancement in coefficient of performance<br>(COP) when CuO nanoparticle-lubricant mixture was used instead of POE oil as the lubricant. The water<br>cooled heat exchanger was designed and the system was modified by retrofitting it, along with the conventional<br>air-cooled condenser by making a bypass line and thus the system can be utilized as a waste heat recovery unit.<br>Experimental result shows that about 200 litres of hot water at a temperature of about 58ºC over a day can be<br>generated.
DOI: 10.6084/m9.figshare.1319407.v1
title: Growth and characterization of EDTA doped BupropionHydrochloride

description: ABSTRACT: Good transparent single crystals of EDTA doped BupropionHydrochloride are successfully grown<br>by using slow evaporation technique at room temperature with double distilled water as solvent. The vibrational<br>modes of the molecules are elucidated from FTIR spectra. Its optical behavior has been examined by uv-vis<br>spectral analysis, which shows the absence of absorbance in the visible region. Thermal properties of EDTA<br>doped BPH crystal were carried out by TGA and DTA technique which indicate the thermal stability of the<br>sample. The effect of the influence of dopant on the surface morphology of EBPH crystal faces are analyzed by<br>Scanning Electron Microscope (SEM). The energy dispersive X-ray analysis(EDAX) of EBPH show the almost<br>same composition. The grown crystals were subjected to powder X – ray diffraction studies to identify the<br>morphology and structure.<br>Keywords: crystal growth, X –ray diffraction, optical absorption studies, Thermo gravimetric analysis.
DOI: 10.6084/m9.figshare.1319404.v1
title: Detection Of Dyslexia From Eye Movements Using Anfis & Bbwpe Feature Extraction Methods

description: ABSTRACT - The control of attention orienting was studied in children with specific reading disorder (SRD)<br>or dyslexia, and it was compared with that of normal readers. The main goal of the study was to propose and<br>implement new feature extraction method for extracting the features efficient from the signals and it is classified<br>using the classifier from eye movement signal. Eye movements of 76 school children were measured using<br>videooculographic (VOG) technique during one reading and four nonreading tasks. Videooculographic (VOG)<br>is used to measure the Eye movement’s signals of children through single reading and four non reading tasks.<br>Time and frequency domain features were extracted and various feature selection methods were performed to<br>select subsets of significant features. The best basis-based wavelet packet entropy method (BBWPE) is proposed<br>in this research for extracting the features from the eye movement signal. The improved ANFIS based on PSO is<br>used as a classifier. The parameters used for finding accuracy of the proposed methodology are sensitivity,<br>specificity and p-value. The Experimentation confirmed that the proposed ANFIS with BBWPE model has good<br>detection results than ANFIS with MAR and ANN model in terms of parameters like sensitivity, specificity,<br>detection accuracy and p-value.<br>KEYWORD - Learning disability, Feature Extraction, Classification, Adaptive Neuro-Fuzzy Inference System<br>(ANFIS), Best Basis-based Wavelet Packet Entropy method (BBWPE)
DOI: 10.6084/m9.figshare.1319403
title: Reduce the False Positive and False Negative from Real Traffic with Intrusion Detection

description: ABSTRACT - In a typical network, the traffic through the network is heterogeneous and consists of flows from<br>multiple applications and utilities. Considering today threats in network there is yet not a single solution to<br>solve all the issues because the traditional methods of port-based and payload-based with machine learning<br>algorithm suffers from dynamic ports and encrypted application. Many international network equipment<br>manufactures like cisco, juniper also working to reduce these issues in the hardware side. Here this paper<br>presents a new approach considering the idea of service-based. This method is, in some sense, orthogonal to<br>current approaches and it can be used as an efficient complement to existing methods to reduce computation<br>and memory requirements. Experimental results on real traffic confirm that this method is extremely effective<br>and may improve considerably the accuracy of traffic classification, while it is suitable to a large number of<br>applications. Finally, it is also possible to adopt a service database built offline, possibly provided by a third<br>party and modeled after the signature database of antivirus programs, which in term reduce the work of<br>training procedure and over fitting of parameters in case of parametric classifier of supervised traffic<br>classification.<br>Index terms – network operations, security, traffic classification.
DOI: 10.6084/m9.figshare.1318807
title: Raw sequence data for paper describing the microbial community associated with isoprene consumption in soils

description: Raw sequence data for research submitted to Elementa on the microbial community associated with isoprene consumption in soils. Included are GNU Zip files of I1, R1 and R2 files from an Illumina MySeq run using 16S and ITS primers. These files were seperated due to size and therefore must be placed back together before any processing. Files with parentheses indicate the numbered piece of the whole file. Also included are the two mapping files that translate the barcoded region of the sequence to a sample identifier.
DOI: 10.6084/m9.figshare.1319403.v1
title: Reduce the False Positive and False Negative from Real Traffic with Intrusion Detection

description: ABSTRACT - In a typical network, the traffic through the network is heterogeneous and consists of flows from<br>multiple applications and utilities. Considering today threats in network there is yet not a single solution to<br>solve all the issues because the traditional methods of port-based and payload-based with machine learning<br>algorithm suffers from dynamic ports and encrypted application. Many international network equipment<br>manufactures like cisco, juniper also working to reduce these issues in the hardware side. Here this paper<br>presents a new approach considering the idea of service-based. This method is, in some sense, orthogonal to<br>current approaches and it can be used as an efficient complement to existing methods to reduce computation<br>and memory requirements. Experimental results on real traffic confirm that this method is extremely effective<br>and may improve considerably the accuracy of traffic classification, while it is suitable to a large number of<br>applications. Finally, it is also possible to adopt a service database built offline, possibly provided by a third<br>party and modeled after the signature database of antivirus programs, which in term reduce the work of<br>training procedure and over fitting of parameters in case of parametric classifier of supervised traffic<br>classification.<br>Index terms – network operations, security, traffic classification.
DOI: 10.6084/m9.figshare.1318807.v1
title: Raw sequence data for paper describing the microbial community associated with isoprene consumption in soils

description: Raw sequence data for research submitted to Elementa on the microbial community associated with isoprene consumption in soils. Included are GNU Zip files of I1, R1 and R2 files from an Illumina MySeq run using 16S and ITS primers. These files were seperated due to size and therefore must be placed back together before any processing. Files with parentheses indicate the numbered piece of the whole file. Also included are the two mapping files that translate the barcoded region of the sequence to a sample identifier.
DOI: 10.6084/m9.figshare.1318777
title: Consent, collaboration and cures: the views of rare disease patients on systems for sharing data and biospecimens

description: Qualitative research among rare disease patients and advocates about their views on the international sharing of data and biospecimens for research.
DOI: 10.6084/m9.figshare.1318778
title: 27 idea pitches for research data spring sandpit 1

description: Public list of 27 ideas that will be pitched on 27 February 2015 within the Research Data Spring sandpit 1 workshop.
DOI: 10.6084/m9.figshare.1318776
title: Nickel Tetracarbonyl Energy

description: Nickel tetracarbonyl energy calculated to 6-31G(d,p) level of theory using coordinates from a geometry optimised structure to 6-31G(d,p) level of theory.
DOI: 10.6084/m9.figshare.1318778.v1
title: 27 idea pitches for research data spring sandpit 1

description: Public list of 27 ideas that will be pitched on 27 February 2015 within the Research Data Spring sandpit 1 workshop.
DOI: 10.6084/m9.figshare.1318774
title: Nickel Tetracarbonyl Geometry

description: Nickel Tetracarbonyl geometry optimised to the 6-31G(d,p) level with the wB97X-D functional in vacuum.
DOI: 10.6084/m9.figshare.1318772
title: Nerwip Corpus - NER part.4/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1318776.v1
title: Nickel Tetracarbonyl Energy

description: Nickel tetracarbonyl energy calculated to 6-31G(d,p) level of theory using coordinates from a geometry optimised structure to 6-31G(d,p) level of theory.
DOI: 10.6084/m9.figshare.1318774.v1
title: Nickel Tetracarbonyl Geometry

description: Nickel Tetracarbonyl geometry optimised to the 6-31G(d,p) level with the wB97X-D functional in vacuum.
DOI: 10.6084/m9.figshare.1318766
title: Nerwip Corpus - NER part.1/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1318772.v1
title: Nerwip Corpus - NER part.4/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1318765
title: Central Germany GIS dataset

description: The GIS dataset is showing the land use and land cover of Central Germany on a 500x500 m grid. Central Germany covers the area of the federal states of Saxony, Saxony-Anhalt and Thuringia. The data is based on the Corine Land Cover (CLC) map, the German Soil Map BUEK, Natural protection areas of the BfN and statistics. For further information please see the metadata Excel sheet as well as Wochele, S., Priess, J., Thrän, D., O’Keeffe, S., (2014): Crop allocation model “CRAM” - an approach for dealing with biomass supply from arable land as part of a life cycle inventory. <em>22nd European Biomass Conference and Exhibition, CCH -Congress Center Hamburg, 24-25 June 2014 EU BC&E Proceedings 2014, ETA-Florence Renewable Energies, Florence. doi: 10.5071/22ndEUBCE2014-1AO.5.4 </em>
DOI: 10.6084/m9.figshare.1318772.v3
title: Nerwip Corpus - NER part.4/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1318766.v1
title: Nerwip Corpus - Data part.1/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1318772.v2
title: Nerwip Corpus - NER part.4/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1318733
title: Nerwip Corpus v4 - Data

description: Set of 408 biographic articles extracted from Wikipedia. Most of them are represented by 5 different files : text only, text and hyperlinks, annotations, meta-data, and html.
DOI: 10.6084/m9.figshare.1318765.v1
title: Central Germany GIS dataset

description: The GIS dataset is showing the land use and land cover of Central Germany on a 500x500 m grid. Central Germany covers the area of the federal states of Saxony, Saxony-Anhalt and Thuringia. The data is based on the Corine Land Cover (CLC) map, the German Soil Map BUEK, Natural protection areas of the BfN and statistics. For further information please see the metadata Excel sheet.
DOI: 10.6084/m9.figshare.1318766.v2
title: Nerwip Corpus - NER part.1/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1318766.v4
title: Nerwip Corpus - NER part.1/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1318733.v1
title: Nerwip Corpus v4 - Data

description: Set of 409 biographic articles extracted from Wikipedia. Most of them are represented by 5 different files : text only, text and hyperlinks, annotations, meta-data, and html.
DOI: 10.6084/m9.figshare.1318766.v3
title: Nerwip Corpus - NER part.1/4

description: Data needed by the Nerwip software.
DOI: 10.6084/m9.figshare.1318733.v2
title: Nerwip Corpus v4 - Data

description: Set of 409 biographic articles extracted from Wikipedia. Most of them are represented by 5 different files : text only, text and hyperlinks, annotations, meta-data, and html.
DOI: 10.6084/m9.figshare.1318733.v4
title: Nerwip Corpus v4 - Data

description: Set of 409 biographic articles extracted from Wikipedia. Most of them are represented by 5 different files : text only, text and hyperlinks, annotations, meta-data, and html.
DOI: 10.6084/m9.figshare.1318733.v3
title: Nerwip Corpus v4 - Data

description: Set of 409 biographic articles extracted from Wikipedia. Most of them are represented by 5 different files : text only, text and hyperlinks, annotations, meta-data, and html.
DOI: 10.6084/m9.figshare.1318572
title: SAMPH_CDS

description: CDS datasets and Matlab code for the S-AMPH model. Corpus 1 consists of 264 nursery rhyme speech samples from 6 female speakers (numbered 0101C.wav to 0644C.wav). Each speaker produced 44 nursery rhymes. Corpus 2 consists of 27 nursery rhyme speech samples from 3 speakers (2F, 1 M). The nursery rhyme 'Jack and Jill' was produced to 9 different metrical patterns by each speaker (numbered P01_JJ21.wav to P03_JJ44.wav).
DOI: 10.6084/m9.figshare.1318418
title: Diverse mechanisms of feeding and movement in Cyclorrhaphan larvae (Diptera)

description: Direct observation, filmed behaviour and morphological analysis were used to investigate mechanisms of larval feeding and movement in 20 species of Cyclorrhapha (Diptera). Feeding mechanisms refer to techniques of gathering food close to the pharynx entrance prior to sucking it in. A total of 12 mechanisms were recorded. Contrasting mechanisms were associated with saprophagy, phytophagy, mycophagy and zoophagy. Larvae had role-specific, compartmentalised bodies. The rear compartment grips substrates enabling the front ones to scan for food by sweeping from side to side or up and down. The front compartments extend or lunge to gather food or grip substrates during locomotion. Lower cyclorrhaphans had more disparate mechanisms than higher cyclorrhaphans. In the latter, the size, shape and movements of the thorax, pseudocephalon and head skeleton are diverse. Influences on this diversity are food quality and access conditions at development sites. Movement capabilities and functions were established for many components.
DOI: 10.6084/m9.figshare.1318419
title: Scientific Data Management

description: Title changed to Scientific Data Managment
DOI: 10.6084/m9.figshare.1318419.v1
title: Scientific Data Management

description: Title changed to Scientific Data Managment