nils-herrmann/clean_scirepeval huggingface dataset:
Design and research on mobile computing service model

Most of mobile computing service models are developed on client/agent/server model, which usually require smart mobile devices. However, in enterprise commercial applications, the smart devices are strict with the client software adaptations and service resource forms, by which the applying scope of them is limited greatly. Nonsmart devices , which are nearly 90% of the mobile communications market , are not considered. Although the computing power of each of non-smart devices is weak, they could form a great mobile computing network if they were organized effectively. For this case, a new intelligent mobile computing service model is proposed and implemented. This model doesn't have high requirements for the mobile devices. It has the context-aware function and can adjust service pattern dynamically. The model also has the fast self-adapted and the service expansion mechanism. It improves the situation when the band-width is taken, and provides a relatively reliable quality service.
Influence of europium addition on microstructure and electrical properties of CCTO ceramics

CaCu<inf>3</inf>Ti<inf>4</inf>O<inf>12</inf> (CCTO) ceramics with different proportions of Eu<inf>2</inf>O<inf>3</inf> dopant (mol%, x=0.00, 0.40 %, 0.80 %, 0.12 %, 0.18 %) were prepared by solid state conventional technique. SEM and XRD were used in the microstructural studies of the specimens; at the same time, the electrical properties and V-I characteristics of the varistor ceramics samples were investigated for varistors. Electric properties of the material were related to the internal grain which was invariable with Eu<inf>2</inf>O<inf>3</inf> concentration altered. Rich copper disappeared in internal boundary of the Eu-doped CCTO samples. The highest density is acquired at 1060 □, with the maximum value reaching to 95 %. The maximum nonlinear coefficient reaches to 4.1 with the Eu<inf>2</inf>O<inf>3</inf> dopant content up to 1.8 mol%. The results from the measurements showed that the dielectric constant and dielectric loss of the samples varied according to the proportion of Eu<inf>2</inf>O<inf>3</inf> dopant and sintering temperature.
Chaos Synchronization Based on Phase-Locked Loops

The experimental confirmation about the synchronization between two similar phase-locked loops is provided. The pair of PPLs is driven by a common chaotic signal which is derived from a master PLL. The parameters of the PLLs must be properly and particularly chosen to ensure the robustness of this synchronization system. Firstly, in order, the characteristics of PLL are discussed in detail. Then the synchronization model is given and the mathematic model of the system is built. The simulation results prove the anticipated purpose to synchronize between 2 PLLs. Then circuit model is built also and the simulation results also prove to be feasible. Experimental observations are qualitatively consistent with both math simulations and with the recent synchronization criterion due to Pecora and Carrol. The robustness of this synchronization scheme suggests the intriguing possibility of using chaos as the scrambling codes or spread spectrum communications.
Electrochemical etching in wet-chemical gate recess for InAlAs/InGaAs heterojunction FETs

When resist openings are employed to monitor the drain current of InP-based heterojunction FETs during wet-chemical gate recess, etching rates for InGaAs and InAlAs can be significantly modified by the exposure of the surface metal on the non-alloy ohmic electrodes to citric-acid-based etchants. Surface metal of Ni enhances the recess etching rate to a degree that is much higher than that in its absence. With this non-selective citric-acid-based etchant, the presence of Pt surface metal, however, leads to a preferential etching of InGaAs over InAlAs. This behaviour of selective etching is attributed to the excess oxidation of InAlAs induced by the high electrode potential of Pt via electrochemical effects. This investigation discloses that the selection of the surface metal that lies beneath the resist openings can be very important if gate recess grooves with desired shapes are to be fabricated.
Application of particle swarm optimization for the design of a broadband microstrip antenna

The discrete binary particle swarm optimization (PSO) is an extension of standard PSO on binary system. As a time-domain method, finite different time domain (FDTD) can obtain the required broadband frequency information through once time-domain calculation. Therefore, PSO's fitness function can choose multi-point in frequency, that is, the design of fitness function is more flexible when PSO is combining with FDTD. In this paper, discrete binary PSO combined with FDTD method is applied to design a broadband microstrip antenna. Test results show the bandwidth of the optimized antenna at -10dB is expanded significantly compared with the original antenna.
A New Coding Scheme for CT Image Using Integer-to-integer Shape Adaptive Discrete Wavelet Transforms

This paper proposes an integer-to-integer shape adaptive discrete wavelet transform(ISA-DWT) coding scheme for CT(computed tomography) image. The scheme consists of (1) extraction of shape information of the foreground of CT image; (2) integer-to-integer shape adaptive discrete wavelet transform; (3) the modified SPIHT algorithm. In CT image, the foreground contains useful clinical information and the background contains noise. In our scheme, only the foreground is compressed losslessly to avoid the unnecessary bit stream consumption. Experimental results indicate that the proposed scheme results in obviously improved performance as compared to the conventional integer-to-integer discrete wavelet transform.
Application of “3S”Technologies in the sample survey of rapeseed

The passage based on the wild practical work in the sample survey of rapeseed, at first analyze the application of “3S”Technologies in agriculture and analyze Hubei regional situation and the reasons of rapeseed sample survey fully. Then introduce the Sample survey of general steps in the Field and the Notices in the Operating process. And then summarize the advantages of “3S” technologies in Agricultural sample survey .at last analyze of the sample survey of rapeseed significance and the important influence in agriculture and social and economic stability in our country. The application of “3S” technologies in agricultural areas will make great contributions on food safety and stability of economic and social development.
An Improved Image Segmentation Method Based on Fast Level Set Combining with C-V Model

Aim at the high computational complexity of level set methods has excluded themselves from many real-time applications. An improved image segmentation method using the fast level set algorithm is proposed in this paper. The algorithm adopts improved fast level set base on single list to realize the curve evolution, which simplifies the fast level set method. Avoiding the traditional level set methods need to re-initialize the level set function and the processes of solving partial differential equations, accelerating the velocity of segmentation. And the algorithm uses the binary fitting terms of C-V model to design the speed function of curve evolution, it preserves the global optimization characteristic of C-V model. In addition, a termination criterion based on the number change of contour points in the single list is proposed to ensure that the evolving curve can automatically stop on the true boundaries of objects. The experiments show that the algorithm which is proposed in this paper can significantly improve the segmentation velocity and efficiently segment the noise images.
Antimonide-based semiconductors for optoelectronic devices

We report high quality InAsSb films grown on Ge substrates with a GaAs intermediate layer via metal-organic chemical vapor deposition. The properties of the grown InAsSb films are systematically analysed. It is found that the grown InAsSb films by this method have high quality with very smooth, mirror-like morphology, and high optical quality. In particular, strong PL peak at around 3550 nm can be observed even at room temperature, which demonstrates the capabilities of the grown InAsSb films for room temperature MIR optoelectronic application. This work provides a simple and feasible strategy for the growth of high quality InAsSb films on Ge substrate.
Design of a bending vibrations hybrid type ultrasonic motor with a bonded-type structure

A bending vibrations hybrid type ultrasonic motor with a bonded-type structure is proposed and designed in this work. Four pieces of PZT plates are bonded on a metal beam to form the proposed motor. In this design, elliptical movements of the driving feet, the significant motion to realize the actuating of a rotor, is produced by the superimposing of two first bending vibrations orthogonal in space. The structural parameters' sensitivities of the bending resonance frequency and the electromechanical coupling factor are calculated and discussed by modal analysis and harmonic analysis respectively. The most sensitive parameters are obtained. Then, the vibration characteristic of the proposed motor is investigated by transient analysis; another ultrasonic motor with the same length but no horns is also calculated to give a comparison. Different with previous motor, the proposed one drive the runner by two transversal displacements of the driving tip; this new actuating mode has merits of higher resonance frequency, larger vibration amplitude and velocity, better movement trajectory uniformity and shorter response time. The study results can guide the fabrication of linear or rotary ultrasonic motor with small size.
A new testing method of shielding effect of single smoke equipment

Smoke emission is an important means to generate quick and wide-range camouflage, in this paper, smoke effect sequence diagrams and effective shielding area were acquired, the formula of M-T was fitted which based on the model of spatial relation between single smoke equipment and detector. The digital image analysis method of dynamic testing of smoke shielding effect was constructed. The dynamic and diffusion characteristics of single smoke equipment was researched. According to the experiment, the variation relationship of smoke area and time was definited, a new testing method of shielding effect of single smoke equipment was formed preliminarily. It laid the theoretical foundation for the shielding effect of multiple smoke equipments and different smoke equipment.
A novel joint scheme for turbo code and multilevel space-time modulation

We propose a scheme of utilizing multilevel space-time signal-based turbo code (MST-SB-TC) for wireless communication systems with multiple antennas over very rapidly Rayleigh block fading channels where the fading coefficients changes independently for every transmitted signal. No channel state information (CSI) is available and even unitary space-time signals fail to operate. We give an effective method which applies MST-SB-TC as an alternative to the original multilevel space-time modulation and present an effective multilevel space-time (UST) signal-based BCJR-like maximum a posteriori (MAP) decoding algorithm, which makes full use of the channel characteristics when calculating the branch metrics. With iterative decoding and/or multiple receive antennas, it can further improve the system performance, which helps to give an acceptable bit error rate.
IMPRes: Integrative MultiOmics pathway resolution algorithm and tool

A central goal of systems biology is to uncover the underlying functional architecture of the cell and study its mechanisms. To this end, large amounts of omics data are being rapidly generated, and a focus of bioinformatics research has been towards integrating these data to identify active pathways or modules under certain conditions. Many bioinformatics algorithms include optimization methods, statistical methods, and methods using interaction network topology attributes have been applied for this. Although biologically significant modules can often be detected globally by these methods, it is hard to interpret or make use of the results towards in silico hypothesis generation and testing. We propose a step-wise active pathway detection method (IMPRes) using a dynamic programming approach. First, we take advantage of the existing pathway interaction knowledge in KEGG to build a background network, and then starting from one or multiple receptors of a certain perturbation, we use transcriptomics data collected under these conditions to detect paths that best explain the variations of genes downstream. More other omics data will be integrated in the future. Since dynamic programming enables the detection one step a time, it is easy for biomedical researchers to trace the pathway and finally lead to more accurate drug design and more effective treatment strategies. Additionally, by adding protein-protein interactions in our method, the hypotheses that we generate do not merely utilize existing knowledge, but have potential to discover new knowledge. We have evaluated our method on a dataset of cell wall stress in yeast. The path we found highly agrees with the Cell Wall Integrity (CWI) pathway, which is the main signaling pathway involved in the regulation of cell wall stress responses. We have also compared with other methods on a yeast high osmolality stress dataset and achieved an overall better performance than some other methods. More experiments have been done on human cancer datasets and mouse datasets. Finally, the IMPRes web server is established to offer a simple interface for applying IMPRes. Users can upload their own data and obtain an interactive visualization of the resulting pathway map. Users can further filter or highlight interactions according to pathway information or relation types. All genes in the pathway map are listed with detailed annotations. The IMPRes web server is available at http://gene.rnet.missouri.edu/soykb_dev/IMPRes/.
A single-stage soft switched power factor correction converter based on Asymmetric Dual Active Bridge converter

A single-stage power factor correction (PFC) circuit base on an isolated Asymmetric Dual Active Bridge (ADAB) converter is presented and analyzed in this paper. Power factor correction and isolated output voltage regulation are achieved using an optimized dual phase-shifting control strategy. The converter can work in step-up and step-down mode during half period of the AC input voltage. Soft-switching of all of the switching devices in both the primary and secondary-side circuits is implemented and thus switching loss can be reduced efficiently. In this paper, the operation principle and soft switching performance of this converter is analyzed in detail, and the results of the analysis are used to develop an optimized procedure for its design. Experimental results are given to verify the effectiveness and advantages of the presented single-stage AC-DC converter.
A fuzzy motion control of AUV based on apery intelligence

Fussy control is restricted by complexity of fussy rules, in the motion control of underwater vehicle. Aiming at adjustment of fussy rules, after decoupling of 6 DOF, the alterable-rule algorithm of fussy control is brought forward, in underwater vehicle motion control. Motion controller of underwater vehicle is designed by apery intelligence. The advantages of S-plane control and fussy control are integrated. The domain of fussy control is compressed. Language variables are added, which help enhance the sensitivity and precision. The motion control experiments of “Mini-dragon-1” underwater vehicle are done in pool and lakes. Control effect is good.
Fault diagnosis method for railway turnout control circuit based on information fusion

High speed railway turnout is an important signal equipment that is directly contacted with the high speed train. However, it is still in a simple way to deal with the faults of the control circuit by simple instruments and artificial experience. In order to realize the intelligence of the fault diagnosis method for the turnout control circuit, this paper summarizes 11 typical fault modes and 8 corresponding typical fault features. Then, according to the fuzzy theory and neural network, the fault diagnosis is respectively realized by multi factor fuzzy evaluation and three layer BP neural network model. But both two methods cannot solve this problem well. They still can't satisfactorily deal with the problem of false positives and false negatives, which threatens the safety of railway operations. Therefore, based on the Dempster-Shafer evidence theory, this paper further proposes a comprehensive evaluation method of fault diagnosis on the information fusion decision-making level, and achieves the complementary fusion of the two methods, and also increases the accuracy of fault diagnosis. From the verification of the simulation experiments, the method is more accurate than any of the two simple methods of fault diagnosis, and it is promising to have a good application prospect in this field.
Guiding a terahertz quantum cascade laser into low-loss hollow waveguides

We demonstrate that azimuthally polarized micro-ring THz quantum-cascade lasers can be coupled to hollow metallic waveguides with efficiencies ≥96% and perfectly matched with the TE01 waveguide mode, giving attenuation losses < 3dB/m. The use of Ag coated-flexible pipe waveguides allows propagation of either vertically polarized or azimuthally polarized QCL beams with propagation losses as low as 2.1–4.4 dB/m and bending losses lower than 1.2 dB.
Characterization of diode-pumped laser operation of a novel Yb:GSO Crystal

We report what is believed to be the first demonstration of the laser action of Yb/sup 3+/-doped Gd/sub 2/SiO/sub 5/ (Yb:GSO)crystal pumped by a 940-nm laser diode at room temperature. The threshold of laser generation is only 0.85 kW/cm/sup 2/, which is smaller than the theoretic threshold of Yb:YAG (1.54 kW/cm/sup 2/). The laser wavelength is 1090 nm. With a 2.5% output coupler, the maximum output power is 415 mW under a pump power of 5W. By using the SESAM, the Q-switched modelocking and CW mode-locked operations are demonstrated.
A new multi-view identification scheme for breast masses in mammography using multi-agent algorithm

The classification of breast masses into benign and malignant categories plays an important role in the area of computer-aided diagnosis (CAD) of breast cancer. In this paper, in order to improve the accuracy and the robustness of the classification and reduce the false positive rates, we proposed one novel scheme that was based on information fusion in multi views. A series of contour and shape features of the masses were chosen, and new contour features were used. Then, a multi-classifier fusion based on multi-agent algorithm was introduced. And finally, a multi-view information fusion method was applied. Experimental results demonstrated that the proposed classification scheme achieved a higher accuracy than those schemes using the individual classifiers and the multi-classifier fusion technique in single-view.
Design of Irregular Quasi-Cyclic LDPC Codes

In this paper, a novel methodology for design irregular quasi-cyclic LDPC codes is presented. The quasi-cyclic structure facilitates encoder and decoder implementation through shift-register-based circuits. The irregularity characteristic improves the code performance in waterfall region. The structure imposed on the bipartite graphs together with shifting matrix, Lead to a class of this code suitable for fast iterative decoding. The construction method results in a class of quasi-cyclic LDPC codes with girth of at least 6.The simulation results show, using the Sum Productive Decoder, this kinds of codes having excellent performance on the additive white Gaussian noise channels .
A framework for parallel simulation application performance evaluation and optimization

Massively parallel simulation application software running on high performance computers is composed by a number of distributed sub-systems which have close interaction and logic processing relationship. How to analyze application performance problems during programming and execution, and how to effectively improve the performance of parallel simulation application are important and challenging problems. To meet the requirements of parallel simulation application software on system quality, system load balancing, system performance and other evaluation and optimization, the paper presents a framework for PSoA-Tool (Parallel Simulation-oriented Analyze Tool) on high-performance computer environments. It is divided into five layers: model and code input layer, data collection layer, data management layer, data analysis layer, and decision optimization layer. It can achieve performance optimization for massively parallel simulation application software in the code, node, and task levels by PSoA-Tool.
A frame mapping based HMM approach to cross-lingual voice transformation

Cross-lingual voice transformation is challenging when source language (L1) and target language (L2) are very different in corresponding phonetics and prosodies. We propose a frame mapping based HMM approach to this problem. The source speaker's speech data is first warped in frequency toward the target speaker by mapping corresponding formants of selected vowels. The parameter trajectories of the warped data are then “tiled” with the frames in target speaker's L2 data. The tiled new trajectories then form a simulated training set of target speaker in L1 and it is used to train an HMM TTS. With a bilingual (Mandarin and English) source speaker and a monolingual (English) target speaker, the frame mapping-based approach is capable of generating highly intelligible, good quality speech data in L1 (Mandarin), which sounds rather close to the target speaker. The good performance of the cross-lingual voice transformation is confirmed with speaker similarity, naturalness and intelligibility evaluations subjectively.
Influence of temperature on microstructure and electrical properties of znic doped CCTO ceramics

The influence of sintering temperature on microstructure and electrical properties of Zn doped CaCu<inf>3</inf>Ti<inf>4</inf>O<inf>12</inf> ceramics were investigated. The CaCu<inf>3−x</inf>Zn<inf>x</inf>Ti<inf>4</inf>O<inf>12</inf> (x=0, 0.06, 0.1, 0.2) ceramics were prepared by sol-gel method, and sintered at 950 □, 1000 □, 1050 □, 1100 □. XRD patterns confirm the formation of CCTO crystal phase in the as-prepared samples, and SEM results showed different porous structures and grain sizes at different temperatures. The results were commented and discussed on the temperature effect on electric properties and microstructure of CaCu<inf>3−x</inf>Zn<inf>x</inf>Ti<inf>4</inf>O<inf>12</inf> ceramics.
Ant Colony Optimization Based Service Flow Scheduling with Various QoS Requirements in Cloud Computing

There are a mass of researches on the issue of scheduling in cloud computing, most of them, however, are bout workflow and job scheduling. There are fewer researches on service flow scheduling. Here we propose a model of service flow scheduling with various quality of service (QoS) requirements in cloud computing firstly, then we adopt the use of an ant colony optimization (ACO) algorithm to optimize service flow scheduling. In our model, we use default rate to describe the radio of cloud service provider breaking service level agreement (SLA), and also introduce an SLA monitoring module to monitor the running state of cloud services.