nils-herrmann/clean_scirepeval huggingface dataset:
Differential power cryptanalysis attacks against PRESENT implementation

PRESENT, proposed by A. Bogdanov et al. in CHES 2007, is an ultra-lightweight symmetric cipher for extremely constrained environments such as RFID tags and sensor networks. In this article, a representative platform, 0.25 µm 1.8 V standard cell circuit is proposed to complement the PRESENT, the simulation-based ASIC experimental environment is built to acquire power data. According to the fact that the power consumption of a digital circuit implemented in the CMOS technology depends on the data that the circuit is processing, we create the hypothetical circuit model for differential power analysis (DPA) against the special block cipher, PRESENT. Two Different statistical methods, multi-bit DPA and correlation power analysis (CPA), are conducted in this paper to analyze the power data sampled from the power traces. We can attack all secret key bits after first two rounds DPA attack. Our results present the vulnerability to power analysis attack against the hardware implementations of PRESENT.
A Short-Pulsed MOPA Source and Its Application in Distributed Optical Fiber Raman Temperature Sensing System

We have demonstrated a short-pulsed optical fiber MOPA source, which generates 12 W, >1 ns pulses at a wavelength of 1550 nm. The repetition rate of the pulses can be adjusted continuously from 10 Hz to 70MHz. The source is tested in a 2.4 km distributed fiber Raman temperature sensing system, achieved a temperature resolution of plusmn5K. By using wavelet transformation, the temperature resolution is improved to plusmn1K.
An Urban Infrastructure Common Data Model Based on Loose Coupling Topology and Rule Base

Urban infrastructure data constitutes an important part of urban geographic information. Relying on GIS technology and the urban infrastructure data, and giving consideration to the characteristics of the urban infrastructure, we can build a common data model, namely URIOCOM (Urban-Infrastructure-Oriented Common Model) to achieve accurate and efficient modeling and analysis of the urban infrastructure. The author provides an introduction to URIOCOM built according to the metadata standard for urban infrastructure and expounds on how to build a loose coupling geometrical-logical network based on the spatial distribution of logical network models and geometrical network models and their logical correlation. The author also analyzes core technologies such as the principles of establishing the Urban-Infrastructure-Oriented rule base. URIOCOM can effectively and expeditiously express municipal information, and therefore meet the needs for the sharing of urban infrastructure data, interoperation, and streamlined management of infrastructure parts.
Data Remapping for Static NUCA in Degradable Chip Multiprocessors

In chip multiprocessors (CMPs), nonuniform cache architecture (NUCA) is often employed to organize last-level cache (LLC) banks through network-on-chip (NoC). Because of the shrinking feature size and unstable operating environment, severe reliability problems unavoidably emerge and cause frequent on-chip component (e.g., cores, cache banks, routers) failures. Typical fault-tolerant CMPs should possess the feature of graceful degradation and function normally with deactivated tiles. However, for CMPs adopting static NUCA, certain physical address areas will become inaccessible when cache banks in a CMP node are isolated from the system. To protect cache from such threats induced by either online or offline faults, we survey several potential solutions and propose the utility-driven node remapping technique by reusing the resources in NoC. In our NoC-assisted remapping scheme, cache accesses to isolated banks are so redirected that cache space contention are successfully balanced and relieved in shared-LLC, thus ensuring the least performance penalty caused by fault isolation. Our experimental results show significant performance improvement over conventional resizing approaches such as set reduction.
Automatic plating technology for ceramic packaging

The plating technology meets many difficulties due to the shape variety, frame complexity and material diversity of the ceramic packages. Nowadays much of the plating still relies on handwork, which limits both the batch production and quality stability of ceramic packages. One method to solve the problem is the automatization of plating by using advanced equipments, stable plating process and control methods. Therefore, in the paper the automatic plating for ceramic package was reported in three aspects, i.e., plating equipments, plating process and control methods. The technique of this work has been successfully applied in practical production, and supported batch production of ceramic packages. The increasing demand on the production of ceramic packages requires more advanced techniques, among which plating is one indispensable process. The automatization plating technique can benefit the batch production of ceramic packages, though it is difficult to be realized due to the variety or even non-standard requirement of ceramic packages. Especially in the batch production of mixed types of packages, the different configurations, surface materials and plating procedures have high requirements on the automatization process. Only the production line that combines with multi-processes in a range of operational parameters can take full advantage of the automatization method. Thus, in this paper, the development of automatic production lines for plating ceramic packages was reported according to the plating equipment, plating process and control method.
A Novel Semi-Supervised Learning Approach in Artificial Olfaction for E-Nose Application

Artificial olfaction data are usually represented by a sensor array embedded in an electronic nose system (E-Nose), such that each observation can be expressed as a feature vector for pattern recognition. The concerns of this paper are threefold: each feature can be represented by multiple different modalities; manual labeling of sensory data in real application is difficult and hardly impossible, which results in an issue of insufficient labeled data; and classifier learning is generally independent of feature engineering, such that the recognition capability of E-Nose is restricted due to the unilateral suboptimum. Motivated by these concerns, in this paper, from a new perspective of multi-task learning, we aim at proposing a unified semi-supervised learning framework nominated as MFKS, and the merits are composed of three points. First, a multi-feature joint classifier learning with low-rank constraint is developed for exploiting the structural information of multiple feature modalities. The relatedness of sub-classifiers with respect to feature modalities is preserved by imposing a low-rank constraint on the group classifier. Second, with a manifold assumption, a Laplacian graph manifold regularization is incorporated for capturing the intrinsic geometry of unlabeled data. Third, the features and classifiers are learned simultaneously in a unified framework, such that the optimality and robustness are improved. Experiments on two data sets, including large-scale 16-sensor data with 36-month drift and small-scale temperature modulated sensory data, demonstrate that the proposed approach has 4% improvement in classification accuracy than others.
Development of on-line monitoring system for SF6 circuit breaker

As a good insulating medium, SF6 has been widely used in high voltage circuit breaker, and its state is critical to the system stability. Aiming at the shortcomings of traditional measurement of the state of SF6 gas, we propose a new system design, which divides the whole system into three parts: data acquisition unit, data concentrators and monitoring software. And ZigBee wireless net and Ethernet communication are used to achieve real-time monitoring of SF6 circuit breaker. Meanwhile, by using Configuration Software, the system constructs the user-friendly interface and database to display and manage the data of SF6 gas state, which are used for the more effective evaluation of the running state of the circuit breaker.
Advanced treatment of coking wastewater using three-dimensional electrode reactor coupling Fenton's reagent

A three-dimensional electrode reactor combined with Fenton's reagent was used for advanced treatment of coking wastewater from secondary biological treatment. Effects of some key factors on TOC removal rate were investigated and kinetics of coking wastewater was also studied under certain the operating parameters of the three-dimensional electrode reactor. The orthogonal test results showed that the optimal operating conditions were as follows: H2O2 dosage 300mg/L, initial pH 3.4, reaction time 90min and FeSO4·7H2O dosage 3.5mmol/L. TOC removal rate could reach 61.7% under the optimal conditions. It was found that coking wastewater degradation followed a pseudo-first-order reaction kinetic model. Coking wastewater were well degraded by this system, which provided a theoretical guidance for advanced treatment of coking wastewater by three-dimensional electrode reactor coupling Fenton's reagent process in engineering application.
Decoupled Power Control for a Modular-Multilevel-Converter-Based Hybrid AC–DC Grid Integrated With Hybrid Energy Storage

This paper presents a decoupled power control strategy for a modular multilevel converter (MMC)-based hybrid ac–dc grid integrated with a hybrid energy storage system. This system can mitigate the active power fluctuations caused by intermittent renewable generation and also realize reactive power compensation as required by voltage regulation. The proposed hybrid ac–dc system has a novel configuration in which batteries and supercapacitors are distributed into the upper arm and the lower arm of the MMC, respectively. Therefore, it is possible to design fully decoupled power control and simultaneously optimize the performances of batteries and supercapacitors. First, the system modeling and operational principles of the MMC are briefly introduced in this paper. On the basis of these analyses, the power decoupling between the upper arm and the lower arm is presented to realize different control objectives. Moreover, battery state-of-charge balancing control and supercapacitor voltage control are also presented, which are crucial for ensuring the normal operation of these energy storage components and the proposed MMC-based hybrid ac–dc grid. Finally, the proposed system and its control strategies are verified by laboratory experimental results.
Ancient terms of chronic renal failure: The key to ancient literature mining

In order to explore the ancient terms of chronic renal failure, we collected the ancient terms of chronic renal failure from modern literature retrieval, prominent TCM doctors' experience and monographs and textbooks and then designed a questionnaire based on the candidate ancient terms to conduct an expert consultation among experts of academic and medicine community in nephropathy department in tertiary general hospitals of Chinese medicine around China. A total of thirty-three ancient terms related to chronic renal failure were derived. And only twenty-five ancient terms were selected in the consultation questionnaire after standardization. Forty experts were invited in our study and thirty-seven experts (response rate of 92.5%) completed the questionnaire. They are come from 19 out of 34 provinces in China. After calculation, the top six ancient terms with highest consistency according to average score were "Ni Du", "Shui Zhong", "Guan Ge", "Xu Lao", "Shen Lao", "Long Bi". The results were consistent with the frequencies in modern literature retrieval, prominent TCM doctors' experience, and monographs and textbooks. In conclusion, "Ni Du", "Guan Ge", "Shui Zhong", "Xu Lao", "Shen Lao", "Long Bi" could be recommended as the ancient terms of CRF in the further study of ancient literature mining.
A Generic Construction of Proxy Signatures from Certificateless Signatures

The primitive of proxy signatures allows the original signer to delegate proxy signers to sign on messages on behalf of the original signer. It has found numerous applications in distributed computing scenarios where delegation of signing rights is common. Certificate less public key cryptography eliminates the complicated certificates in traditional public key cryptosystems without suffering from the key escrow problem in identity-based public key cryptography. In this paper, we reveal the relationship between the two important primitives of proxy signatures and certificate less signatures and present a generic conversion from the latter to the former. Following the generic transformation, we propose an efficient proxy signature scheme with a recent certificate less signature scheme.
An improved included angle division method for multimodel control of Hammerstein systems

An improved included angle division method is proposed for Hammerstein systems. In this division method, nonlinearity of the system is taken into account to distribute gridding points, so distribution is more reasonable and computation load in division is reduced greatly. Based on the division result, a multimodel predictive controller is designed to overcome the drawbacks of the common nonlinearity inversion control method for Hammerstein systems.
A 10-bit 120-MS/s SAR ADC in 90nm CMOS with redundancy compensation

This paper proposes a single-channel 10-bit 120MS/s successive-approximation-register (SAR) analog-to-digital converter (ADC) in 90nm CMOS process with a 1.2-V supply voltage. By using a partial-monotonic switching sequences, the common-mode voltage variation is reduced efficiently. The binary redundancy compensation technique is adopted to solve comparator errors caused by dynamic offset and DAC settling. Compared to the conventional structure, the proposed method reduces the total capacitance by 4x, which enhances the speed and decreases the chip area. The simulation results indicate that the prototype achieves a SNDR of 60.27dB and an ENOB of 9.72b with a 58.134MHz input signal at 120MHz sampling rate, while only consuming 3.24mW power.
Cascading Second-Order Microring Resonators for a Box-Like Filter Response

We demonstrate an optical filter using multistage of second-order microring resonators (2nd-order MRRs) for a box-like filter response. All stages have identical structure parameters elaborately designed to obtain a flat-top spectrum. The maximally flat condition is deduced in consideration of loss and compared with those reported in literature. We present the insertion loss, extinction ratio, bandwidth, and roll-off rate of the maximally flat response. We find that for the flat response of a 2nd-order MRR, the product of bandwidth and roll-off rate is constant. We compare the cascading 2nd-order MRRs with single-stage high-order filters with the same number of ring cavities. We find that the cascading structure has comparable performances in the aspects of insertion loss and roll-off rate for small radius. This cascading structure relaxes the fabrication tolerance and mitigates the difficulty of electrical wiring difficulty since there are only two ring cavities in each stage. As a proof of concept, we fabricate this kind of optical filter with ten stages on silicon-on-insulator platform, with each ring cavity tunable and each stage measurable. We obtain five flat-top responses corresponding to one to five cascading stages. The five-stage filter response has a 3 dB bandwidth of ∼17 GHz, a roll-off rate of ∼−5 dB/GHz at −3 dB point, and an on-chip insertion loss of ∼−6 dB.
Chinese text classification method based on NMF

Text document classification based on the semantic level is a hot issue in text processing presently. In this paper, a method based on NMF for Chinese text classification is presented. According to NMF, the term-document matrix is decomposed to capture the relation between terms. This method settled effectively the problems of synonym and polysemy. It experimentally shows that, compared with LSI based on SVD, this method has advantages of faster computing speed, less memory occupancy and improvement of classification precision when the dimension reduces markedly.
A comparison of close-cell, stripe-cell, and orthogonal-cell low voltage superjunction trench power MOSFETs for linear mode application

Trade-offs between the On Resistance and Linear Mode performance have been compared for different Low Voltage superjunction cell structures, including stripe-cell, closed-cell & orthogonal-cell. The closed-cell has measured RSP of 4.4mΩ·mm2, which is 20% lower than that of the stripe-cell for the same die size and same pitch at the same package. Despite higher trans-conductance, the closed-cell linear mode performance is the same as that of the stripe-cell. The orthogonal-cell has the best linear mode performance, but has high Rds(on) due to current conduction path partially blocked by p-type superjunction column. The tested maximum load current is 38.4A at a drain voltage Vds of 10V and turn-on time of 10 mSec from the orthogonal-cell, which is the highest among the competitors' parts for a power 5×6 clip package. The Rds(on) for orthogonal-cell can be further improved by device optimization.
A Collaborative Ontology Developing Method Based on Ripple-Effect

Aimed at the problem existed in collaborative Ontology development, a collaborative Ontology developing method based on ripple-effect is put forward in the paper. Locking granularity of Ontology is modified through adjusting relevance degree and semantic radius between concepts in this method. The threshold of relevance degree and semantic radius is adjusted based on ripple-effect. Experiments show the efficacious.
Adaptive Contention Window Adjustment for 802.11-Based Mesh Networks

Wireless mesh network (WMN) is a new type access network bearing large numbers of various traffic flows. Reliable data flow and real-time multimedia flow are the two primary categories of traffics. Most real-time multimedia flows have QoS requirements for throughput, average delay and jitter. In order to ensure these QoS requirements, an adaptive contention window adjustment scheme (ACWA) is proposed for IEEE 802.11-based WMN, which adjusts channel access probability via changing the initial upper bound of contention window. Cross-layer design is adopted in ACWA. MAC layer cooperates with network layer to implement the differential priority channel allocation by adjusting contention window dynamically. Channel state, queue state and flow priority requirements are considered. Evaluations show that ACWA can provide assurance on bandwidth and average delay requirements for flows and partially reduce local congestion in 802.11-based mesh networks.
A Global Approach to Fast Video Stabilization

This paper presents a novel formulation of video stabilization by directly solving for optimal image warps toward stabilized sequence. With the estimated shaky motion via long or short feature trajectories, our approach encodes another two steps, motion compensation and image warping, into a single global optimization process, rather than operating as two individual steps. This process is done only with positions of embedded mesh vertices as common variables. Spatial and temporal coherence is therein reformulated with similarity-invariant representation of motion trajectories and intra- (and inter-) frame consistency of similar transformations with respect to mesh vertices. Such a one-shot formulation converts video stabilization into a quadratic energy minimization problem defined for image warps, and thus can be efficiently resolved by using a robust solver for sparse linear systems. Experimental results demonstrate the flexibility and efficiency of our approach in producing visually plausible stabilization effects on a variety of videos.
A Multiple Direction Information Transmission Interface for Multi-transport Hub in ISCS Networks

Main defects about the slow speed of information exchange and the poor capabilities of the emergency response in the current ISCS (Integrated Supervisory Control System) of URT are described in this paper. Then an ISCS model with multi-layer transport hub based on Cyber Control software is constructed in laboratory. Combined with the characteristics of current ISCS networks, a multiple direction information transmission channel is established after analyzing the data flow of ISCS. Finally, the information transmission of the whole system using the way of “point to point” and “point to multiple” is achieved in the context of ensuring consistency and real-time of data.
Dedal2: An ADL supporting domain specific software development

To apply software architecture techniques in domain specific development becomes an emergent issue. Many industrial domains such as aeronautics, automobile develop their own domain specific ADLs to benefit the advantages of software architecture techniques. However, for small domains, this is very costly in terms of time, manpower and money. However, domain specific software architecture (DSSA) development is one of their emergent requirements. In existing ADLs, there is merely an ADL which supporting all different software architectures produced during domain-specific software development. Thus in this paper, we first formalise domain specific software development (DSSD) from the views of domain driven, component-based and architecture-centric. Then we present our proposed ADL - Dedal2. Dedal2 supports all architecture descriptions in different development step of DSSD and all component models in different abstraction and domain levels.
A 60-GHz 360° 5-Bit Phase Shifter With Constant IL Compensation Followed by a Normal Amplifier With ±1 dB Gain Variation and 0.6-dBm OP $_{\mathrm{ -1dB}}$

In this brief, a concise compensation technique to obtain constant insertion loss (IL) among different phase shifting states of an millimeter-wave switch-type phase shifter (PS) is developed. The main idea is to introduce switches into the PS to align ILs of all phase states to the maximum, which hardly introduces additional phase variation, degrades IL flatness, or deteriorates maximum IL. A 60-GHz 360° 5-bit switch-type PS is designed with the proposed technique in a 65-nm CMOS technology. Measured results show that the IL variation among all 32 phase shifting states is within ±0.8 dB over 57–66 GHz, with a maximum root-mean-square (rms) phase error of 8°, a gain tuning range of 8 dB and an input 1-dB power compression point (IP−1dB) of 13 dBm. The proposed PS followed by a 60-GHz normal amplifier with invariable gain is also designed and verified. A maximum gain of 4 dB is achieved with a gain variation within ±1 dB over a 9-GHz bandwidth, an output 1-dB power compression point (OP−1dB) of 0.6 dBm, a maximum rms phase error of 11.3°, and a dc power consumption of 30 mW.
An integrated electric vehicle power conversion system using modular multilevel converter

This paper proposes an integrated power conversion system in electric vehicle using modular multilevel converter, whose modular structure could manage the integrated battery cells to simplify the traditional battery manage system (BMS) meanwhile provide the motor driving function and battery charging function without using additional hardware. The all-in topology could therefore maximize the capacity of all batteries and save the installation space simultaneously to reach a more compact design. To well elaborate the proposed system, the operational principles and control methods are fully investigated including SOC balancing control strategy in driving mode and DC or AC battery charging methods in charging mode. The proposed system is verified through Matlab simulation and a scaled down experimental prototype.