nils-herrmann/clean_scirepeval huggingface dataset:
A Framework of Critical Factors for Construction Partnerships in Taiwan

This study implements structural equation model (SEM) to build a framework containing critical success and failure factors of construction partnerships in Taiwan. It is found that the four critical success factors (cultural collaboration, long-term quality, consistency, and resources) are closely linked to one another, and so as are the four critical failure factors (lack of flexibility, lack of trust, inadequate environment, and lack of professional management). The partnership successes are most strongly influenced by cultural collaboration and consistency, whereas long-term quality has the least effect. The partnership failures are most strongly influenced by lack of flexibility and lack of professional management, whereas lack of trust has the least effect.
Design and performance of a small HTS bulk reluctance motor

HTS bulks can be used as flux-focusing elements in reluctance motors. As parts of the primary study, a small prototype reluctance motor was designed and constructed by using HTS YBCO bulks. The performance was analyzed based on magnetic field calculation. An experimental investigation was carried out on the prototype motor. Computed parameters are compared with test measurements, showing good agreement. Compared with the conventional synchronous reluctance motors, higher efficiency and smaller size make these motors very attractive for the applications, such as cryogenic pumps and flywheel drives.
Structure-Preserving Image Super-Resolution via Contextualized Multitask Learning

Single-image super-resolution (SR), which refers to reconstructing a higher resolution image from the observed low-resolution (LR) image, has received substantial attention due to its tremendous application potentials. Despite the breakthroughs of recently proposed SR methods using convolutional neural networks, their generated results usually lack of preserving structural (high-frequency) details. In this paper, regarding global boundary context and residual context as complimentary information for enhancing structural details in image restoration, we develop a contextualized multitask learning framework to address the SR problem. Specifically, our method first extracts convolutional features from the input LR image and applies one deconvolutional module to interpolate the LR feature maps in a content-adaptive way. Then, the resulting feature maps are fed into two branched subnetworks. On several standard benchmarks (e.g., Set5, Set14, and BSD200 ), our extensive evaluations demonstrate the effectiveness of our SR method on achieving both higher restoration quality and computational efficiency compared with several state-of-the-art SR approaches.
Performance of $\hbox{YBa}_{2}\hbox{Cu}_{3} \hbox{O}_{x}$ Tapes With Different Structures Under AC Overcurrent Conditions

The voltage and temperature of YBa2Cu3Ox (YBCO) tapes with different structures were measured at alternating-current overcurrent conditions in liquid nitrogen. A safety temperature limit of the tapes with different structure was obtained based on the measured critical-current degradation data of the YBCO tapes. According to heat conduction model, the electrical and thermal performances of YBCO tapes were analyzed for tapes with different stabilizers. The comparison was presented for simulation and test data. The results are helpful for the design of superconducting electrical equipment.
Single-Inductor Quad-Output Switching Converter With Priority-Scheduled Program for Fast Transient Response and Unlimited Load Range in 40 nm CMOS Technology

System-on-a-chip (SoC) applications require multiple power supply voltages with the features of low noise for analog circuits and high efficiency for digital circuits. Thus, this paper proposes the priority-scheduled program (PSP) for the single-inductor quad-output (SIQO) switching converter. This technique manages energy delivery to multiple outputs, facilitates fast transient response, and reduces cross-regulation simultaneously. Moreover, a level bypass detector (LBD) is used to overcome the limitation of significant loading differences among quad outputs in conventional designs because the PSP technique cantransfer additional energy to low-priority outputs to avoid overshoot voltage at high-priority outputs. Furthermore, voltage disturbance can be filtered out using two additional low-dropout regulators that operate as buffers cascaded at two low-priority outputs. Therefore, the SIQO converter that is fabricated in 40 nm CMOS technology satisfies the power requirements in portable electronics given its low cross-regulation of 0.2%, fast transient response of 15 μs, and an output voltage ripple that is smaller than 30 mV.
An Electronic Hospital Bedside-Card Prototype Using RFID and DVB-MHP Platform

A bedside card is generally used for showing an inpatient’s information in the ward. However a bedside card may reveal an inpatient’s private information. In this paper, we propose a prototype to replace the paper bedside card. The electronic bedside card is shown on a digital TV screen, once triggered by the medical staffs using a RFID tag/card. The idea comes from that not every ward has a computer to access patient’s information, but there is a TV set in every ward. The design of the proposed system mainly focuses on the integration between the DVB-MHP compatible television and the RFID technology. In this prototype, only the medical staffs and the patients holding RFID tags have the right to trigger the system; the information contained in a traditional bedside card of a patient will be shown on the MHP TV screen in the ward. Therefore, the prototype can be used to replace the paper bedside card in a ward, and it would help to introduce better services to inpatients.
Personalized iDTV Program in Multimedia Home Platform

Interactive digital TV (iDTV) plays an important role of the future home entertainment. There are a lot of differences between iDTV and traditional TV, such as protocols, standards and operations. The iDTV is more complicated and provides more applications. Under the framework of iDTV, it can provide interactive TV programs for users. An interactive TV program of a channel can bring one or more applications, and a user should choose and use the application. When a user chooses one TV program in a channel, he/she can not know other applications which go with programs in other channels. It means that a user is restricted to select applications of one channel. It is not convenient for a user who wants to watch channel A but also wants to uses the applications of channel B. This paper provides an new design of enhancement to solve the problem on the iDTV middleware. In addition, an extended iDTV program for personalization is also proposed to resolve resource conflict.
New design of wireless power and bidirectional data transmission

It's a major drawback of the battery charging in traditional electric vehicles is that it relies on the use of a plug-in device for battery charging. This research proposes a wireless power and bidirectional data transmission scheme, data related to battery status, vehicle identification number, or emergency messages can be mutually transmitted between two isolated units via an LC tank. The primary unit employs an inverter to yield alternating current and power flow to the load via mutual inductance. The secondary unit transfers data by adjusting current of load, and the primary unit receives data based on the zero-voltage switching (ZVS) method. The primary unit transfers command by trimming the current's curve and the secondary unit receives command and make decoding using the period of carrier wave. The design scheme is useful to handle the situation of emergency by sending back the message to the primary unit to make an emergent halt.
Control design for a mixed rotary and linear motors based manipulator

Modeling and control design for a six degree-of-freedom (DOF) platform manipulator is presented. The platform is setup by three extensible legs sliding on three linear slideways (forming the base platform) each actuated by a synchronous linear servo motor. The vertical legs are actuated by inductive AC servo motors. Combination of linear and AC servo motors contribute high-speed performance of the platform. Inverse kinematics describing the platform motion is derived. With regard to the control system, two types of controllers for motors (linear and AC servo motors) and platform are designed respectively. The controller proposed consists of two parts, one is a state feedback component, and the other one uses a learning feedback component constituted by a wavelet neural network. For platform motion control, a cerebellar model arithmetic controller is adopted to control the position and orientation of the moving platform. Extensive simulation studies are presented to verify effectiveness of the control strategy on the motors and the overall platform motion.
Identification and control of a benchmark flexible structure using piezoelectric actuators and sensors

This paper proposes a neural network approach for the identification and control of a benchmark flexible structure, i.e. a thin simply-supported plate with bonded piezoelectric film actuators and sensors. A specific linear differential inclusions (LDI) model is developed for a class of multilayer feedforward networks. With the technique, the plant model identified by the neural network can be represented as a linear time-invariant system so that the linear control theory can be applied to design the stabilizing flexible structure controller.
Two-Dimensional Numerical Model and Turn-On Performance Simulation of Reversely Switched Dynistor

In this paper, a two-dimensional simulation model of the reversely switched dynistor (RSD) has been introduced in detail. The model has been programmed in MATLAB/Simulink. Different base structures of the RSD are investigated through the model. The relationship between the maximum of turn-on voltage (UFmax) and the base structure parameters have been discussed. When the n-base doping concentration increases, the UFmax gets a slow decrease at first and rapid increase around 1.0 × 1015 cm-3. The UFmax decreases when the n-base width or the p-base width decreases. Especially, a dramatic decrease of the UFmax can be seen when the p-base width decreases to 70 μm. The experimental results of turn-on current and voltage waveforms have been compared with the simulation results to verify the model.
Trapping/detrapping characteristics of electrons and holes under dynamic NBTI stress on HfO2 and HfSiON gate dielectrics

DNBTI on HfO2 and HfSiON has been investigated. The DNBTI model under NBTI/passivated stress cycles has proposed. In addition, as compared with the recovery of the VTH and charge pumping current under passivated stress, the variation of the interface states are not main factor to reduce the magnitude of VTH during the passivated stress cycle.
Content-aware smart remote control for Android-based TV

A good human-computer interaction makes it possible for users to interact with a system, machine, device or a complex application program. Unfortunately, the interactive experience between interactive TV and users is limited by the traditional remote control. This paper presents a new interactive technology for handheld devices (e.g. tablet or smart phone) to achieve both the content-aware interaction control and screen sharing. With the technique, developers can easily build up (customize) simple and flexible control views for TV programs, thus enhancing the user experience with interactive TV.
Design of Synthetic Genetic Oscillators Based on RSGA

Synthetic biology is highly valued in the recent decade. In a previous study, Elowitz and Leibler have made a biological oscillator in consisting of three genes, and found out its mathematical expressions. In which, design of an oscillator is regarded as a tracking design problem. Designing the optimal transcription rates of mRNA and the decaying rate of protein concentration to track desired sinusoidal signal and achieve the best oscillation have becoming a challenge. Genetic algorithm (GA) bears the feature of searching the global optimal for the optimization problem. However, directly applying that kind of algorithms usually leads to premature convergence of the solution and cannot result in solution with the cheapest structure. In this paper, we introduce the real structure genetic algorithm (RSGA) to solve for the design problem of synthetic biological oscillators. The design approach is shown to be capable of yielding genetic oscillators with a cheapest structure.
Development of a 45 kVA Single-Phase Model HTS Transformer

This paper presents design and test of a single-phase HTS transformer with capacity of 45 kVA operated in liquid nitrogen of 77 K for primary/secondary voltages of 2400/160 V. The windings were wound by stainless steel-enforced multifilamentary Bi2223/Ag tapes. The structures of primary and secondary windings are solenoid and double-pancake respectively. The gas-cooling current leads of secondary windings were chosen in order to reduce heat input. Cryostat is made from electrical insulating materials with room temperature bore for iron core made of the commercial Fe-Si steel. Fundamental characteristics of the transformer are obtained by standard short-circuit and no-load tests. The AC losses were calculated and measured by calorimetric method with a mass flow meter of nitrogen gas at room temperature. The performances of the transformer in accidental cases of sudden short-circuit and lightning impulse were also tested
A Data Compression Method for Traffic Loop Detectors' Signals Based on Lifting Wavelet Transformation and Entropy Coding

For the urgent demand of real-time data compression of large scale traffic loop detector system, a novel real-time data compression and reconstruction method combining lifting wavelet transform and hybrid entropy coding is proposed. The signal to be compressed is firstly decomposed with biorthogonali filters based on lifting wavelet transform and the hard-threshold method is then applied to the wavelet coefficients. In order to implement higher efficient compression, a hybrid entropy coding scheme is employed to code the reserved coefficients. This method has been applied to the real-time data acquired from a group of loop detectors. Simulation results indicate that the proposed scheme which combines both lossy and loss less compression techniques can achieve satisfactory compression performance in applications.
Integration of CNT with TIA into gas sensors

This paper explores the use of single-walled carbon nanotubes (SWCNTs) as a gas sensor for detecting organic gas molecules. A low-temperature dielectrophoresis (DEP) method is employed to combine CNTs with Transimpedance Amplifier (TIA) based on UMC 0.18 um 1P6M CMOS process into a nanosensor device.
L1 regularized projection pursuit for additive model learning

In this paper, we present a L1 regularized projection pursuit algorithm for additive model learning. Two new algorithms are developed for regression and classification respectively: sparse projection pursuit regression and sparse Jensen-Shannon Boosting. The introduced L1 regularized projection pursuit encourages sparse solutions, thus our new algorithms are robust to overfitting and present better generalization ability especially in settings with many irrelevant input features and noisy data. To make the optimization with L1 regularization more efficient, we develop an ldquoinformative feature firstrdquo sequential optimization algorithm. Extensive experiments demonstrate the effectiveness of our proposed approach.
A Distributed Green Networking Approach for Data Center Networks

Green networking for data center network is becoming a critical issue due to the rapid growth of energy consumption. Most of existing green networking approaches are in a centralized-control manner, which have a scalability issue. Existing distributed approaches are scalable, but consume too much network resource, including computing and network bandwidth. In this letter, we propose a distributed green networking approach for data center network, called distributed green networking approach (DGNA). In our approach, we propose an energy-efficient flow scheduling mechanism, which requires less computing and much less network bandwidth compared with traditional approaches. In DGNA, two shut-off algorithms are proposed to shut-off links with different efficiency and complexity. Simulation shows that DGNA sends less than 0.9% of link state advertisements compared with a traditional approach.
Sampling strategy and error estimation for evaluation of quadratic form error using Cartesian coordinate data

This study investigates the relationship between sampling strategy and error estimation, which is used to improve the measurement and evaluation of quadratic form error in Cartesian coordinates. This study is focused on the sampling strategy, the sampling error estimation, and the error evaluation model, and it is particularly useful when a special device measures the form characteristics of a workpiece. To obtain a reasonable sample size and an accurate error estimate for the geometric features of a quadratic form, Boltzmann curve is used to predict the reasonable sample size by fitting different evaluation results of form error. As a result, compared with earlier methods, the curve helps us to obtain a better accuracy, while the process only distinguishes a part of the form features on one or several workpieces from a mass production. In addition, a new error model based on the quadratic form is established by least squares method, which can be applied to measure and evaluate the roundness error and sphericity error. Two experiments are performed to verify the effectiveness of the new error model, and the results indicate that a systematic sampling strategy and error estimation can determine the reasonable sample size while maintaining high accuracy.
Guaranteed cost synthesis for polynomial systems using rational Lyapunov functions

A state-feedback synthesis problem for polynomial systems with guaranteed quadratic costs is addressed in this paper. Specifically, we focus on the local synthesis, that is, the closed-loop systems are assumed to be operated in a compact domain characterized by a semi-algebraic set. By means of rational Lyapunov functions, sufficient conditions for the synthesis problem can be formulated as state-dependent linear matrix inequalities (SDLMIs), which can be reformulated into standard LMIs using the sum-of-squares technique. Construction of alternative sufficient conditions with reduced computational cost for the synthesis problem is also discussed in this paper.
A load balancing scheme for two-stage switches with minimum buffers for scalability

In this paper, we propose a novel load-balanced scheme-split aggregated flow (SAF) and design the buffering mechanism for two-stage self-routing switch. By grouping the signal lines with concentrators, the proposed scheme can obtain the statistical multiplex gain and reduce the complexity of computation. The mathematical analysis and simulations show that 100% throughput can be achieved for any admissible traffic pattern. Compared with other load-balancing schemes used crossbar as the basic fabric, this scheme has the distinctive advantages including the lowest complexity buffer of O(N), low queuing delay O(1), and free from the out-of-sequence problem. These properties make it practicably suitable for very large scale switching structures in Next Generation Network (NGN).
Reliable Video Transmission Techniques for Wireless MPEG-4 Streaming Systems

Multimedia streaming over wireless network faces the problem of low-bandwidth data transmission in an error prone environment. Furthermore, due to the frame dependency exploited by the video coding schemes, packet loss could degrade the perceptual quality of the media streams. In this paper, we design and implement a group-of-pictures (GOP) based video packet interleaving technique to reduce the impact of bursty packet losses. At the server side of our system, the packets of B or P frames are interleaved into the packets of a single I frame. At the client side, the de-interleaving method is developed based on the RTP timestamp of RTP header. We also apply the technique to the MPEG-4 video codec in the streaming system and integrate its error resilient tools - video packet, data partition, and RVLC, to increase the performance of GOP based video packet interleaving technique. From the experiment results, we show that our technique improves the perceptual quality better than the classic scheme does
Non-invasive detection of alcohol concentration based on photoplethysmogram signals

Sobriety test, which commonly uses a breathalyser for estimating blood alcohol content (BAC) from a breath sample, is commonly used to detect drunk driving. The detection often gives rise to sanitary concern and violation of human right. This research proposes a new method that employs non-invasive measurement of photoplethysmography (PPG) signal for detecting BAC of the test subject under the sobriety test. The PPG signal is measured via an LED transmitter and a receiver that illuminates finger and measures the changes in lighting. Since a PPG signal contains information of systolic and diastolic blood pressure, it is possible to be used for the purpose of detecting BAC. The authors have developed a practical alcohol sobriety test system to analyse the status of alcohol intake of the subject. Extensive tests have been conducted to examine feasibility of the proposed system with an identification rate up to 85%.
Power modulators and repetitive pulsed power special issue

We are pleased to announce the publication of the sixth Special Issue on Power Modulators and Repetitive Pulsed Power in the IEEE Transactions on Dielectrics and Electrical Insulation and the ninth issue published by IEEE. When the first special issue, under the same title, was in production, the editorial stated: “Thus was born this very first Special Issue on Power Modulators and Repetitive Pulsed Power. It is our hope that this publication represents the beginning of a new tradition of consolidating into a single, biannual issue a chronicle of the latest advances in these fields” . Indeed, with this issue we are marching to a milestone of the 10th Special Issue to be published in two years.
Resource-aware service deployment for open service gateway in home network

This paper addresses the issue if a home gateway is capable of running the to-be-downloaded new services or bundles. Such an issue has been ignored in applications for personal computers or for dedicated embedded systems. However, for a home gateway that connects home appliances either wired or wirelessly to internet, users are free to choose new services. We assume that most home users of gateways are not familiar with the settings of the middleware on gateways. Hence once a new service should degrade the performance of the gateway, the problem is dramatic because the user would not know how to kill or stop the service. Our approach is to design and develop a tool which measures and evaluates both the resource requirements of the to-be downloaded service(s) and the remaining capability of the target gateway before deployment. This tool is assumed to be applied by system operators. The size of the tool is 45 KBytes and its overhead is 12 ms in average, as measured with testing services on a PC- based OSGi (open service gateway initiatives) platform.