nils-herrmann/clean_scirepeval huggingface dataset:
A cloud queuing service with strong consistency and high availability

Message queues are widely used to connect loosely coupled components to form large-scale, highly distributed, and fault-tolerant applications. A number of vendors currently provide cloud-based queuing services that are designed to be elastic, scalable, and easy to use. However, unlike enterprise queuing systems, which provide strong queuing consistency and are suitable for many traditional enterprise workloads, these cloud-based queuing services offer reduced queuing consistency. They can deliver messages without loss, but they may deliver messages out of order or with duplications. This paper presents SilverDove Queuing Service (SDQS), a scalable cloud-based queuing service with stronger consistency than existing cloud-based queuing services. SDQS delivers messages without losses or duplications and provides in-order message delivery as an option. Built on top of IBM WebSphere® eXtreme Scale, i.e., an elastic in-memory object grid system, SDQS can be easily scaled up and down to accommodate a wide range of workloads. SDQS is able to provide high availability with either the no-order or the in-order message delivery option. We have performed a preliminary evaluation of SDQS with up to 70 nodes on a compute cloud platform, verifying its consistency offerings and providing insights into the tradeoff between performance and consistency.
Improved SiC MESFET small-signal equivalent circuit and optimizing method

An improved small-signal equivalent circuit and the related novel parameter optimizing method (optimizing a group of selected parameters to fit a specific S-parameter over a specific frequency range) for SiC MESFET devices are proposed in this paper. The initial values of parasitic parameters and intrinsic parameters have been extracted based on this improved model. The novel method has been used to optimize all the parameters over 0.5~20GHz. Comparing the simulation result with the testing data and the result in the reference, it can be found that the simulation result of improved model fits with testing data better than the reference. It shows the accuracy of this small-signal equivalent circuit has been improved, and the optimizing method is simple and efficient.
Towards building effective email recipient recommendation service

Email is one of the most essential IT services for modern enterprises. However, missing desired recipients for sent messages that frequently happens results in great communication confusion and collaboration inefficiency. In this paper, we propose an effective Email recipient recommendation service implemented by the participant co-occurrence social network based method to help Email users find the missing recipients. Given a specific task of recommending recipient we studied three key factors based on the social network: 1) a general recipient recommendation algorithm based on the social network; 2) the method for updating the edge weight of the social network for the new query (message); and 3) the method to measure the correlated vertices by the social metric of closeness centrality. An extensive evaluation has been conducted on the Enron Email Corpus and Lotus Notes Email Corpus. Experimental results show that the proposed method with a proper estimation of edges and vertices in the social network can achieve significant performance improvement for finding the missing recipients. Five real missing cases of Enron Email Corpus further verify the effectiveness of the proposed method. Besides, we implemented the service in IBM Lotus Notes and invited dozens of colleagues to join in a pilot. The initial feedbacks received from participants are very positive.
A broadband suspended stripline bandpass filter

A structure of suspended stripline bandpass filter, with the resonators coupled by turns on both sides of the suspended stripline, is presented. Compared to the traditional suspended stripline BPF with end coupling, this type of filter has much wider pass-band, as well as smaller volume. The filter is realized on a substrate material, RT-Duroid 5880, with the thickness of 0.127 mm, less than 0.9 dB insertion loss has been achieved in the pass-band, from 41 to 60 GHz. Basic agreement between test result and simulation result is attained.
A Ka-band Rectangular Waveguide to microstrip transition using SIR coupling slot with LTCC technology

In this paper, a Rectangular Waveguide (RW) to microstrip transition with Low-Temperature Co-fired Ceramic (LTCC) technology in Ka-band is designed, fabricated and measured. Compared to the traditional transition using a rectangular slot, the proposed Stepped-Impedance Resonator (SIR) slot enlarges the bandwidth of the transition. By introducing an additional design parameter, it generates multi-modes within the transition. To further improve the bandwidth and to adjust the performance of the transition, a resonant strip is embedded between the open microstrip line and its ground plane. Measured results agree well with that of the simulation, showing an effective bandwidth about 22% (from 28.5 GHz to 36.5GHz), an insertion loss approximately 3 dB and return loss better than 15 dB in the pass-band.
Using ontology evidences to extend belief network IR model

The retrieval performance of an information system usually increases when it uses the relationships among the terms. Belief network IR model provides a framework to combine deferent types of query evidences. In this paper we present an extended belief network model that combines user query terms and its ontology related terms. Then we evaluate the extended model using a reference collection of 1359 documents. The results show that the new model has improved retrieval performance.
Study on bypass overflow characteristic of turbopump pressure regulating system

Bypass valve is a common pressure protector in adjustable pressurization system. Its characteristic parameters directly influence the operating pressure and operation safety of such system. By AMESim system simulation platform, the paper establishes a model for turbopump and its pressure regulating system, makes characteristic description of key components in the system, studies and analyzes the influence of physical parameter, adjustable degree of opening and other characteristic parameters of bypass valve on turbopump output characteristic, system pressure and flow. The findings show that bypass valve, in the case of turbine speed regulating failure, can effectively drop system pressure, reduce turbopump speed and control system flow, and its parameter regulating capacity intensifies with the increase of diameter of bypass valve. The study provides reference for other aircraft fuel bypass valve design and system safety design.
New Multiclass Traffic Equilibrium Assignment Model with Similarity Measure

A novel user equilibrium traffic assignment model in view of the drivers' different familiar levels with the network  is presented in this paper. In the model, drivers are divided into classes according as their knowledge about the network traffic condition and travel-decision characteristics are the same within each class, but differ among classes. Some new concepts, such as OD perceived cost and familiar level with the traffic condition, are introduced based on $\alpha-$cut of fuzzy set. The equilibrium principle is defined based on the similarity measure and can be regarded as a generalization of Wardrop's user equilibrium (UE). A proposed numerical example show that the new model obtains more realistic results than the other two models, UE and SUE.
Survey of Error Concealment techniques: Research directions and open issues

Error Concealment (EC) techniques use either spatial, temporal or a combination of both types of information to recover the data lost in transmitted video. In this paper, existing EC techniques are reviewed, which are divided into three categories, namely Intra-frame EC, Inter-frame EC, and Hybrid EC techniques. We first focus on the EC techniques developed for the H.264/AVC standard. The advantages and disadvantages of these EC techniques are summarized with respect to the features in H.264. Then, the EC algorithms are also analyzed. These EC algorithms have been recently adopted in the newly introduced H.265/HEVC standard. A performance comparison between the classic EC techniques developed for H.264 and H.265 is performed in terms of the average PSNR. Lastly, open issues in the EC domain are addressed for future research consideration.
CHMasters: A Scalable and Speed-Efficient Metadata Service in Distributed File System

Distributed file system (DFS) is playing important roles of supporting large distributed data-intensive applications to meet storage needs. Typically, the design of DFS, such as GFS in Google, DMS in Cisco and TFS in Alibaba, is driven by observations of specific application workloads, internal demands and technological environment. In such systems, the metadata service is a critical factor that can affect the file system performance and availability to a great degree. Five requirements have been summarized for the metadata service: location transparent file service, smart director, efficient speed, strong scalability and friendly collaborator. In this paper, we present metadata service module called CH Masters in our DFS. Consistent hashing protocol is used to relieve potential hot spots on name servers. Files' metadata and master nodes are mapped into the same hash space by consistent hash function. And then files' metadata are scattered to master nodes by clockwise "closest" principle. Chunk server acts as a client when report its chunks info. Only a small proportion of files' metadata will be rehashed when master nodes state change. A new scalable file mapping strategy is also proposed to map file sizes from few MB to several GB efficiently. After intensive experiments, it shows CH Masters is satisfying the above five requirements.
40-43-Gb/s OC-768 16: 1 MUX/CMU chipset with SFI-5 compliance

In this paper, we present two copackaged ICs that provide complete OC-768 16:1 multiplexer (MUX) and clock multiplying unit (CMU) functionality. The 17-input 2.5-2.68-Gb/s parallel interface is Serdes Framer Interface Level 5 (SFI-5) compliant while the 40-43-Gb/s output satisfies OC-768 jitter generation specifications with 7 dB of margin. The system architecture and two-chip partitioning are discussed, followed by descriptions of the design challenges including SFI-5 compliance, 40-Gb/s MUX timing, and 20-GHz clock generation. A novel technique for stabilizing timing margins in the final high-speed multiplexer stage using in-phase and quadrature clocks is also presented. This chipset accommodates 11 bits of static skew and 21 bits of dynamic wander at the SFI-5 interface, while generating 125 fs rms of random jitter and 3.1 ps peak-to-peak of deterministic jitter at its 40-43-Gb/s outputs. The measured bit-error ratio is less than 10/sup -15/ for 2/sup 31/-1 PRBS data and is measurement time limited. The two chips occupy 15.6 mm/sup 2/ and 8.25 mm/sup 2/ of die area. Both are implemented in a 120-GHz f/sub T/ SiGe BiCMOS process.
Design and exploration tools for deep submicron systems

The importance of effective and efficient accounting of layout effects is well-established in High-Level Synthesis (HLS), since it allows more realistic exploration of the design space and the generation of solutions with predictable metrics. This feature is highly desirable in order to avoid unnecessary iterations through the design process. In this paper, we address the problem of layout-driven scheduling-binding as these steps have a direct relevance on the final performance of the design. By producing not only an RTL netlist but also an approximate physical topology of implementation at the chip level, we ensure that the solution will perform at the predicted metric once implemented, thus avoiding unnecessary delays in the design process.
A 2∼18GHz compact microwave band-pass filter suitable for planar and three-dimension flexible integration

In this paper, a ultra wide-band microwave band pass filter suitable for planar and three-dimension integration is presented. Taking the advantage of mechanical flexibility, ultra thin Liquid Crystal Polymer (LCP) with 50 μm thickness is used as the substrate. Firstly, to estimate the bending effects of microwave devices based on LCP substrate, a set of 50 Ohm microstrip lines is fabricated and tested. And the performances of mcirostrip lines at the range of bending radius from 1.5 mm to 0.75 mm are demonstrated. The microstrip lines show little deterioration under the bending radii of 1.5mm and 1mm, but when the radius was reduced to 0.75 mm, the insertion loss sharply increased to 30 dB, showing the complete reflection phenomenon; Then, a 2–18GHz ultra wide-band filter are designed and tested with overall LCP dimensions of 7.52 × 6.31 mm2. The planar measurement result show that the maximum insertion loss is 2.6dB at 18GHz and maximum return loss is 11.2dB at 6.7GHz, respectively; Finally, the performance of the proposed filter is measured at twisted circumstance with the maximum insertion loss is 2.8dB at 18GHz and maximum return loss is 12.1dB at 6.6GHz, respectively. And the comparison results show a very low susceptibility due to twisted behavior. These results show that the ultra thin LCP substrate is a promising candidate for future planar and 3D integration applications in wearable and portable devices.
A novel coordination scheme of wavefront and wave speed for HVDC travelling wave fault location

Travelling wave fault location is the most common method for HVDC transmission line fault locating, the accuracy of which is of great importance for the fast recovery of HVDC transmission line faults. However, the accuracy further improvement is seriously obstructed by the coordination problem of the wavefront and the wave speed applied in existing fault location devices. To solve the problem, a novel coordination scheme is proposed in this paper, significantly improving the accuracy of fault locating results. The concept of the coordination scheme is firstly introduced based on the study of the inherent relationship of wavefront and wave speed. Then, the wave speed variation is analyzed, and how it can be treated well in fault locations is fully described. The wavefront singularity is also studied, based on which wavelet singularity detection theory is introduced to pinpoint the wavefront. At last, relevant simulations are performed in EMTDC taking Tian-Guang HVDC transmission system for instance, the results verifying the correctness and feasibility of the coordination scheme.
A Scalable Queuing Service Based on an In-Memory Data Grid

A cloud-based, highly consumable queuing service must provide extreme scalability, flexible models of consistency, and high availability in the presence of network partitions. CAP theorem states that at most two of the three properties—Consistency, Availability, and Partition Tolerance—can be achieved at the same time for any shared data system. This paper presents the design and implementation of a scalable cloud-based queuing service, named Silver Dove Queuing Service (SDQS). SDQS offers two kinds of consistency levels to applications: the first guarantees exactly-once and no-order delivery and the second exactly-once and in-order delivery. Meanwhile SDQS provides high availability and network partition tolerance. SDQS is designed and developed on top of IBM Web Sphere extreme Scale, an in-memory data grid system. Performance experiments are carried out in a cloud computing environment and the results show that Silver Dove has linear scalability with both of the consistency levels.
Credit-risk decision mechanism (CRDM) with incentive effect under asymmetry information

In this paper, we consider that there are two types of loan entrepreneurs in a society: one is high-risk type and the other is low-risk type. We study the credit-risk decision mechanism (CRDM) with an incentive effect under asymmetric information. We introduce the theory and method of incentive mechanism for the research. We establish a credit-risk decision model from the point of view of the risk minimization of credit money. We give both the incentive compatibility constraints and individual rationality constraints. In addition, we also derive a sufficient and necessary conclusion that the bank offers the same rationing to the two types.
Notice of RetractionAn Evaluation System of Finance Method Bases on AHP

First, this paper constructs a financial evaluation system, and then directly against the various relative importance of evaluation system at all levels and indicates, and the difficulty to determine scientifically to set up determine matrix of all levels, and use AHP to determine the financial evaluation index weight and conduct a strict consistency test of the level of single-sort, and a total sort. The result of the evaluation is objective and practical, and has the characteristics of stability and accuracy, and has the value of popularization and application.
Research on Traffic Carrying Capability Evaluating and Comparing Algorithm in Cellular Radio Network

To evaluate and compare the performance improvement due to different frequency plans adopted in a cellular radio network, a new concept, the radio network traffic carrying capability gain is proposed in this paper, which can overcome the insufficiencies of the traditional analytic theory of the cellular radio network. And a new traffic carrying capability evaluating and comparing algorithm for GSM radio network, the radio traffic carrying capability evaluating and comparing algorithm based on measurement statistics is proposed to calculate the traffic carrying capability gain. The performance changes due to different frequency plans used in a radio network can be got in time through collecting the corresponding measurement data of the radio network in different phases and processing them use the algorithm proposed in this paper.
Application of CCD data of HJ-1 satellite in PM10 evaluation in Shenzhen, China

The main missions of HJ-1 satellite are to monitor pollution, ecosystem destruction and natural disasters. In recent years, Inhalable particle (PM10) has become the primary pollutant of major cities in China, which seriously affects the living environment of its residents. In this paper, we made use of high-resolution CCD data of HJ-1 satellite to monitor atmospheric inhalable particle (PM10) in Shenzhen. Firstly, we inversed the aerosol optical depth (AOD) of CCD data of HJ-1 satellite. Then we analyzed the correlation between AOD and PM10 using PM10 data in six districts of Shenzhen and the AOD data. The conclusions are as follows. 1) The AOD and PM10 are significantly related in spring-summer. 2) The correlation between AOD and PM10 has been improved greatly after considering the variation of aerosol scale height.
Multi-invariance appearance model for object tracking

Visual tracking is a challenging problem in computer vision. Most state-of-the-art visual trackers either rely on intensity information, texture information, or use simple color representations for image description, which cannot provide all-around invariance to different scene conditions. Meanwhile there exists no single tracking approach that can successfully handle all scenarios. Due to the complexity of the tracking problem, the combination of multiple features should be computationally efficient and possess a certain amount of robustness while maintaining high discriminative power. This paper combine intensity information (cross-bin distribute field, CDF), texture information (enhance histograms of oriented gradients, EHOG) and color information (color name, CN) in a tracking-by-detection framework, in which a simple tracker called CSK is extended for multi-dimension and multi-cue fusion. The proposed approach improves the baseline single-cue tracker by 4.4% in distance precision. Furthermore,we show that our approach achieving 75.4% is better than most recent state-of-the-art tracking algorithms.
Emotion classification using deep neural networks and emotional patches

Emotion is closely related to healthy and abnormal mood is the alarm of our body. This paper is concentrated on the objective and accurate emotion classification using EEG signal. We propose emotional patches and combine it with the deep belief network(DBN) to achieve high-precision emotion classification. DBN is able to fit the distribution of the EEG signal and mapping the extracted feature to the higher-level characteristics space where we can easily perform high-precision classification. Compared with the other method, our method uses the emotional patches which have considered the temporal information of emotion and reduce the influence of noise. In addition, our model doesn't need to be trained twice to complete higher classification accuracy. We divide the EEG signal and choose the vital β frequency band where we perform feature extraction. Based on the SJTU Emotion EEG Dataset(SEED), we perform the emotion classification experiment and compare our method with the commonly used classifiers such as SVM, LR and CCA ect. The experimental result demonstrates that our method achieves the highest classification accuracy and outperform the state-of-theart emotion classification approaches based on EEG.
On splitting dataset: Boosting Locally Adaptive Regression Kernels for car localization

In this paper, we study the impact of learning an Adaboost classifier with small sample set (i.e., with fewer training examples). In particular, we make use of car localization as an underlying application, because car localization can be widely used to various real world applications. In order to evaluate the performance of Adaboost learning with a few examples, we simply apply Adaboost learning to a recently proposed feature descriptor - Locally Adaptive Regression Kernel (LARK). As a type of state-of-the-art feature descriptor, LARK is robust against illumination changes and noises. More importantly, we use LARK because its spatial property is also favorable for our purpose (i.e., each patch in the LARK descriptor corresponds to one unique pixel in the original image). In addition to learning a detector from the entire training dataset, we also split the original training dataset into several sub-groups and then we train one detector for each sub-group. We compare those features associated using the detector of each sub-group with that of the detector learnt with the entire training dataset and propose improvements based on the comparison results. Our experimental results indicate that the Adaboost learning is only successful on a small dataset when those learnt features simultaneously satisfy two conditions that: 1. features are learnt from the Region of Interest (ROI), and 2. features are sufficiently far away from each other.
A Support Vector Regression Nonlinear Model for SiC MESFET

Support vector machine (SVM) regression approach is introduced in this paper for table-based nonlinear modeling of field effect transistors (FET). Support vector machine, which based on statistical learning theory and structural risk minimization (SRM) principle, is provided with good generalization ability. For the purpose of demonstration, a table-based SVM regression model is established using a set of training data and testing data produced by an available empirical nonlinear model of SiC MESFET. Experimental results are also given out to validate its good ability in predicting electrical performance.