gebhart/patrepeval huggingface dataset:
Research and design of a mobile streaming media content delivery network (2003)

Delivering media to large numbers of mobile users presents challenges due to the stringent requirements of streaming media, mobility, wireless, and scaling to support large numbers of users. This paper presents a mobile streaming media content delivery network (MSM-CDN) designed to overcome these challenges. The MSM-CDN is a network overlay consisting of overlay servers on top of the existing network; these overlay servers are control points that facilitate end-to-end media delivery and mid-network media services. This paper presents an overview of the MSM-CDN system architecture, and describes the testbed prototype that we built based on these architectural principles. The MSM-CDN provides a new platform for media delivery, and we describe a number of research directions related to the MSM-CDN.
Recording performance of high-density patterned perpendicular magnetic media (2002)

Isolated tracks of magnetic single-domain islands have been fabricated by patterning perpendicular Co70Cr18Pt12 continuous films using focused-ion-beam lithography, reaching areal densities as high as ∼200 Gbit/in2. We demonstrate writing and reading of individual islands using a quasistatic write/read tester. We present results on transition position jitter and signal-to-noise ratio (SNR) for patterned media and compare them with those on equivalent unpatterned strips of the media. We observe that patterning dramatically reduces jitter and improves SNR, which is independent of track width. Moreover, the synchronization requirements needed for writing bits in patterned media was investigated on a single row of islands revealing a significant “write window,” where islands can be written correctly, of about half the island period.
Electrical control of a single magnetoelastic domain structure on a clamped piezoelectric thin film—analysis (2014)

This paper presents an analytical model coupling Landau-Lifshitz-Gilbert micromagnetics with elastodynamics and electrostatics to model the response of a single domain magnetoelastic nano-element attached to a piezoelectric thin film (500 nm). The thin film piezoelectric is mounted on a Si substrate, globally clamping the film from in-plane extension or contraction. Local strain transfer to the magnetoelastic element is achieved using patterned electrodes. The system of equations is reduced to eight coupled partial differential equations as a function of voltage (V), magnetic potential ϕ, magnetic moments (m), and displacements (u), i.e., fully coupled material. The weak forms of the partial differential equations are solved using a finite element formulation. The problem of a Ni single domain structure (i.e., 150 nm × 120 nm × 10 nm) on a thin film (500 nm) piezoelectric transducer (PZT)-5H attached to an infinite substrate is studied. Discretization in the single domain structure is on the order of the exchange length (8.5 nm), providing spatial and temporal information on the local mechanical and magnetic fields. A −0.5 V potential is applied to a pair of surface electrodes, producing out-of-plane deformation and in turn straining the magnetoelastic single domain nanostructure in-plane. This strain is sufficient to reorient a single domain structure representative of an idealized memory element.
Sapphire-fiber-based intrinsic Fabry–Perot interferometer (1992)

A sapphire optical fiber intrinsic Fabry–Perot interferometric sensor is demonstrated. A length of multimode sapphire fiber that functions as a Fabry–Perot cavity is spliced to a silica single-mode fiber. The interferometric signals of this sensor are produced by the interference between the reflection from the silica–sapphire fiber splice and the reflection from the free end face of the sapphire fiber. This sensor has been demonstrated for temperature measurement. A resolution of 0.2°C has been obtained over a measurement range of 310°C to 976°C.
A-17 Measurement of a Three-Dimensional Orientation of Golf Club Head with One Camera : Method to measure impact orientations based on designed head orientations (2015)

Relative to the measurement of a three-dimensional orientation of golf club head with one camera even if markers are put on any positions, we developed a jig which makes it possible to set a golf club at an intended standard orientation and a plurality of intended orientations quickle. The investigated setting errors of the jig were not larger than 0.1°. And, also, it is confirmed using this jig, it because possible to measure a head orientation relative to the intended standard orientation. Additionally, the following results are obtained. (1) The measurement error can be decreased by increasing the number of the head orientations considering the shaft angle change, but not decreased by increasing those considering the face angle change. (2) In case of setting considering the face angle change only, changing face angle with not 0° shaft angle makes the measurement error to be less than with 0° shaft angle.
Hardware architecture for real time H.264 CABAC decoding for HDTV applications (2011)

H.264 or AVC (Advanced Video Coding) is a latest digital video codec standard which was developed as an answer to the growing demand for better compression in a wide range of applications and for improved network friendliness. H.264 is able to deliver a compression efficiency of up to 50% over a wide range of bit rates and video resolutions compared to previous standards (e.g. MPEG2 or H.263). The downside is that the H.264 decoder complexity is nearly four times higher than the previous standards. Hence a powerful hardware platform is required to provide real-time performance of H.264 in today's high-end applications like HDTV. We present an innovative Hardware architecture to perform real-time H.264 CABAC decoding using Finite State Machines (FSMs) for decoding of syntax elements. This architecture delivers a throughput of 1 bin per cycle @ 180MHz as reported by Synopsys Design Compiler.
Heat Transfer Nanofluids Based on Carbon Nanotubes (2006)

In this paper, we report the effort to prepare a stable su spension of carbon nanotube s in a hydro philic thermal transfer fluid with the motivation of enhancing its properties such as thermal conductivity and freezing point . The process of creating these fluid s involves the dispersion of carbon nanoparticles into the thermal transport fluid through intermittent sonication and the use of additives such as surfactants. I. Nomenclature
Generalized direction changing fall control of humanoid robots among multiple objects (2010)

Humanoid robots are expected to share human environments in the future and it is important to ensure safety of their operation. A serious threat to safety is the fall of a humanoid robot, which can seriously damage both the robot and objects in its surrounding. This paper proposes a strategy for planning and control of fall. The controller's objective is to prevent the robot from hitting surrounding objects during a fall by modifying its default fall direction. We have earlier presented such a direction-changing fall controller in. However, the controller was applicable only when the robot's surrounding contained a single object. In this paper we introduce a generalized approach to humanoid fall-direction control among multiple objects. This new framework algorithmically establishes a desired fall direction through assigned scores, considers a number of control options, and selects and executes the best strategy. The fall planner is also able to select “No Action” as the best strategy, if appropriate. The controller is interactive and is applicable for fall occurring during upright standing or walking. The fall performance is continuously tracked and can be improved in real-time. The planning and control algorithms are demonstrated in simulation on an ASIMO-like humanoid robot.
An ultra-microporous organic polymer for high performance carbon dioxide capture and separation (2015)

Rational design concepts were used to prepare a novel porous benzimidazole-linked polymer (BILP-101) in a simple one-pot reaction. BILP-101 has exhibited ultra-microporosity (0.54 nm), very high CO2 uptake (∼1 mmol g(-1), 4 wt%, 0.15 bar/298 K) and exceptional CO2/N2 selectivity of 80 (298 K), which results in remarkable working capacity and regenerability for CO2 capture applications.
A High-Temperature Gate Driver for Silicon Carbide <sc>mosfet</sc> (2017)

SiC MOSFET can operate at a junction temperature of 200-250 °C due to its improved material properties and thermal stability. However, successful realization of SiC MOSFET based high-temperature (HT) converter requires HT gate drivers. This paper presents a low-cost HT gate driver developed with discrete transistors and signal diodes rated at 180-200 °C. The gate driver has a robust overcurrent and undervoltage lock out protection circuit. The propagation delay of the protection circuit and gate driving circuit is greatly reduced compared to commercial HT gate drivers. A comparative analysis of the developed HT gate driver using discrete components and the commercially available silicon-on-insulator technology based HT gate driver is presented. The performance of the HT gate driver is evaluated for both hard switched fault and fault under load condition at an ambient temperature of 180 °C.
SPICE analysis of dense memristor crossbars for low power neuromorphic processor designs (2015)

This paper provides an analysis of neuromorphic circuits that are capable of learning logic functions. In this paper the training simulations are carried out in SPICE. Our simulations capture low level circuit functionality within the memristor crossbars as well as wire resistances between memristors. This is essential when properly modeling crossbar circuits. Wire resistances, wire capacitances, output comparators, and the number of data inputs are all investigated in this paper to show how these may impact a larger neuromorphic crossbar. Furthermore, it was shown that neural networks can properly train the passive memristor-based crossbars without having to use virtual ground mode operational amplifiers as suggested in previous work. This reduces the number of transistors required by the circuit by about 3 times and reduces the circuit power consumption by about 50 times when compared to the virtual ground design. The key impact of this study is the demonstration through low level circuit simulations that dense memristor crossbars can be effectively utilized to build neuromorphic processors.
Effects of modified-live bovine viral diarrhea virus vaccines containing either type 1 or types 1 and 2 BVDV on heifers and their offspring after challenge with noncytopathic type 2 BVDV during gestation (2006)

Results suggest that the incidence of persistent BVDV infection among offspring from dams inoculated with 1 dose of the MLV vaccine containing types 1 and 2 BVDV was decreased, compared with 1 or 2 doses of the MLV vaccine containing only type 1 BVDV.
Photoreduction of Graphene Oxide and Photochemical Synthesis of Graphene–Metal Nanoparticle Hybrids by Ketyl Radicals (2017)

The photoreduction of graphene oxide (GO) using ketyl radicals is demonstrated for the first time. The use of photochemical reduction through ketyl radicals generated by I-2959 or (1-[4-(2-hydroxyethoxy)phenyl]-2-hydroxy-2-methyl-1-propan-1-one) is interesting because it affords spatial and temporal control of the reduction process. Graphene-metal nanoparticle hybrids of Ag, Au, and Pd were also photochemically fabricated in a one-pot procedure. Comprehensive spectroscopic and imaging techniques were carried out to fully characterize the materials. The nanoparticle hybrids showed promising action for the catalytic degradation of model environmental pollutants, namely, 4-nitrophenol, Rose Bengal, and Methyl Orange. The process described can be extended to polymer nanocomposites that can be photopatterned and could be potentially extended to fabricating plastic electronic devices.
Mobile Application Testing (2016)

Statistics hold that 80% of the mobile applications are deleted after just one-time use. A significant reason for this can be attributed to the quality of the mobile application, thus impressing on the need for testing a mobile application before it is made available on the app stores. At the same time, the mobile application lifecycle time is shrinking. So while operating systems used to get release about once in a couple of years, mobile operating systems get updated within months. And talking of apps, new apps are expected to be built and released in a matter of weeks. This impresses the need for automated mechanisms to do mobile testing. The space of mobile application testing is challenging owing to the variety of phone devices, the operating systems and the conditions under which an app can be used by the user in the wild. This chapter is focused on tools and techniques that are used for automated testing of mobile applications.
DeepDCA: Novel Network-Based Detection of IoT Attacks Using Artificial Immune System (2020)

Recently Internet of Things (IoT) attains tremendous popularity, although this promising technology leads to a variety of security obstacles. The conventional solutions do not suit the new dilemmas brought by the IoT ecosystem. Conversely, Artificial Immune Systems (AIS) is intelligent and adaptive systems mimic the human immune system which holds desirable properties for such a dynamic environment and provides an opportunity to improve IoT security. In this work, we develop a novel hybrid Deep Learning and Dendritic Cell Algorithm (DeepDCA) in the context of an Intrusion Detection System (IDS). The framework adopts Dendritic Cell Algorithm (DCA) and Self Normalizing Neural Network (SNN). The aim of this research is to classify IoT intrusion and minimize the false alarm generation. Also, automate and smooth the signal extraction phase which improves the classification performance. The proposed IDS selects the convenient set of features from the IoT-Bot dataset, performs signal categorization using the SNN then use the DCA for classification. The experimentation results show that DeepDCA performed well in detecting the IoT attacks with a high detection rate demonstrating over 98.73% accuracy and low false-positive rate. Also, we compared these results with State-of-the-art techniques, which showed that our model is capable of performing better classification tasks than SVM, NB, KNN, and MLP. We plan to carry out further experiments to verify the framework using a more challenging dataset and make further comparisons with other signal extraction approaches. Also, involve in real-time (online) attack detection.
3α-(4‘-Substituted phenyl)tropane- 2β-carboxylic Acid Methyl Esters:  Novel Ligands with High Affinity and Selectivity at the Dopamine Transporter (1996)

ADVERTISEMENT RETURN TO ISSUEPREVLetterNEXT3α-(4'-Substituted phenyl)tropane- 2β-carboxylic Acid Methyl Esters: Novel Ligands with High Affinity and Selectivity at the Dopamine TransporterChristopher R. Holmquist, Kathryn I. Keverline-Frantz, Philip Abraham, John W. Boja, Michael J. Kuhar, and F. Ivy CarrollView Author Information Chemistry and Life Sciences, Research Triangle Institute, P.O. Box 12194, Research Triangle Park, North Carolina 27709, and National Institute on Drug Abuse, Addiction Research Center, P.O. Box 5180, Baltimore, Maryland 21224 Cite this: J. Med. Chem. 1996, 39, 21, 4139–4141Publication Date (Web):October 11, 1996Publication History Received16 July 1996Published online11 October 1996Published inissue 1 January 1996https://pubs.acs.org/doi/10.1021/jm960515uhttps://doi.org/10.1021/jm960515urapid-communicationACS PublicationsCopyright © 1996 American Chemical SocietyRequest reuse permissionsArticle Views225Altmetric-Citations31LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information SUBJECTS:Alkyls,Amines,Conformation,Molecular structure,Organic compounds Get e-Alerts
Novel method of Euclidean distance calculation for bilateral filtering based on CMOS sensor noise profiles (2008)

Bilateral filtering is an effective technique for reducing image noise while preserving edge content. The filter kernel is constructed based on two criteria of neighboring pixels, namely photometric resemblance and geometric proximity. The Euclidean distance is used as a metric for the photometric portion of the kernel in the classic definition of the filter. We illustrate in this paper a simplified method for calculating the Euclidean distance metric which reduces the computational complexity of the filter. Furthermore, we generalize the idea of bilateral filtering by linking the filter processing parameters to the noise profile of a CMOS image sensor and present a simple method for tuning the performance of the filter.
Document image database retrieval and browsing using texture analysis (2002)

A system is presented that uses texture to retrieve and browse images stored in a large document image database. A method of graphically generating a candidate search image is used that shows the visual layout and content of a target document. All images similar to this candidate are returned for the purpose of browsing or further query. The system is accessed using a World Wide Web (Web) browser. Applications include the retrieval and browsing of document images including newspapers, fares and business letters.
Tetrahydrothienopyridylbutyl‐tetrahydrobenzindoles: New Selective Ligands of the 5‐HT<sub>7</sub> Receptor. (2003)

Abstract For Abstract see ChemInform Abstract in Full Text.
Prototyping and Initial Feasibility Study of Palpation Display Apparatus Using Granular Jamming (2019)

We designed a novel tactile display apparatus in order to facilitate medical palpation and early diagnosis of a possibly cancerous tumor for the advancement of early diagnostic procedure and to overcome the limitations of existing bulky systems. This paper introduces our first 3D printed soft prototype nodule. It encloses granular particles to physically simulate a lump under varying stiffness control. To support the design, we performed initial feasibility tests. A force versus displacement graph was plotted to understand the behavior of the nodule. It is observed that, under vacuum pressure, the particles are jammed together resulting in much higher stiffness of the nodule compared to the normal condition where particles inside are not jammed together leading to lesser stiffness.
Transcranial Ultrasound Using Leaky Lamb Waves by Wedge Transducer Array (2020)

The transcranial ultrasound technique has been researched as a non-invasive method for the treatment of brain tumors, neuromodulation, and the delivery of cancer therapeutics. Focused ultrasound is one of the most common methods for noninvasive treatments, but the present technology generally uses an array of transducers of normal incidence. The general focused ultrasound technique has high transmission loss and heating of the skull because of the normal incidence. In this study, we present the design, analysis, and implementation of a wedge transducer array consisting of piezoelectric (PZT) ceramic elements for the dual-mode conversion technique, which means that the longitudinal wave in the wedge is converted to the Lamb wave in the skull and the Lamb wave is converted to the longitudinal wave in the brain. This technique enables efficient transmission, reduces heating of the skull, and extends the focal spot range. We fabricated the partial wedge transducer and conducted the experiments to calculate the total transmission loss of this system.
Integrated radio‐frequency/wireless coil design for simultaneous MR image acquisition and wireless communication (2018)

The RF/wireless coil design can provide a solution for wireless data transfer that can be easily integrated into existing MRI scanners for a variety of applications.
A Novel Anaerobic Electrochemical Membrane Bioreactor (AnEMBR) with Conductive Hollow-fiber Membrane for Treatment of Low-Organic Strength Solutions (2014)

A new anaerobic treatment system that combined a microbial electrolysis cell (MEC) with membrane filtration using electrically conductive, porous, nickel-based hollow-fiber membranes (Ni-HFMs) was developed to treat low organic strength solution and recover energy in the form of biogas. This new system is called an anaerobic electrochemical membrane bioreactor (AnEMBR). The Ni-HFM served the dual function as the cathode for hydrogen evolution reaction (HER) and the membrane for filtration of the effluent. The AnEMBR system was operated for 70 days with synthetic acetate solution having a chemical oxygen demand (COD) of 320 mg/L. Removal of COD was >95% at all applied voltages tested. Up to 71% of the substrate energy was recovered at an applied voltage of 0.7 V as methane rich biogas (83% CH4; <1% H2) due to biological conversion of the hydrogen evolved at the cathode to methane. A combination of factors (hydrogen bubble formation, low cathode potential and localized high pH at the cathode surface) contributed to reduced membrane fouling in the AnEMBR compared to the control reactor (open circuit voltage). The net energy required to operate the AnEMBR system at an applied voltage of 0.7 V was significantly less (0.27 kWh/m3) than that typically needed for wastewater treatment using aerobic membrane bioreactors (1-2 kWh/m3).
Register On MEsh (ROME): A novel approach for clock mesh network synthesis (2011)

A clock mesh network synthesis and optimization flow is proposed which entails the optimal mesh size selection, incremental register placement, mesh reduction and buffer driver insertion. The proposed method is based on incrementally placing the registers on a mesh, which gives the method its name "Register on MEsh (ROME)". The primary objectives of ROME are low global clock skew and power dissipation, which are achieved through a sparse mesh implementation with registers mesh. Experimental results show that the total wirelength on the clock mesh (grid wires and stub wires) is reduced by 36.1% with a 2.8ps clock skew improvement. The total power consumption of the experimented circuits is reduced by 14.1% on average.
Synthesis and Biological Evaluation of Aryl-phospho-indole as Novel HIV-1 Non-nucleoside Reverse Transcriptase Inhibitors (2010)

A novel series of 3-aryl-phospho-indole (API) non-nucleoside reverse transcriptase inhibitors of HIV-1 was developed. Chemical variation in the phosphorus linker led to the discovery of 3-phenyl-methyl-phosphinate-2-carboxamide 14, which possessed excellent potency against wild-type HIV-1 as well as viruses bearing K103N and Y181C single mutants in the reverse transcriptase gene. Chiral separation of the enantiomers showed that only R enantiomer retained the activity. The pharmacokinetic, solubility, and metabolic properties of 14 were assessed.