nils-herrmann/clean_scirepeval huggingface dataset:
Cascaded TZ-source inverters

A new cascaded TZ-source inverter is proposed to distribute the stresses on the passive components. Compared with the conventional cascaded Z-source inverter topologies for the same number of transformers and turn ratios, the proposed cascaded inverter uses a high modulation index to produce the same output voltage gain with reduced component count. The inductor and transformer in the network can be combined in the proposed cascaded inverter. Its input current is continuous with low ripple if the DC source is connected directly to the inductor. The operating principles and an analysis of the cascaded TZ-source inverter are presented, and the proposed inverter is compared with the conventional cascaded Z-source inverters. Simulation and experiment are conducted with cascaded two-network and three-network TZ-source inverters to produce the same output voltage gain.
Circularly polarized passive UHF RFID Tag on Wall for Indoor Object Identification and Localization

In this paper, a square-shaped microstrip passive RFID tag suitable for wall mount in RFID localization systems is presented. The tag antenna is designed for the ultra-high frequency (UHF) band and is excited by a dual inset feed network to achieve circular polarization (CP). A cross slot is embedded in the square patch to reduce antenna size and extend CP bandwidth. Characterization in an anechoic chamber shows that the prototype's operational frequency band is significantly shifted compared to the simulation results. Nevertheless, when tested in the laboratory hallway with a standard UHF RFID reader, the tag still provides good reading range and decent CP performance in certain degrees of rotation.
Depth image-based rendering with low resolution depth

This paper proposes a new approach for depth image-based rendering (DIBR) with low resolution depth using the 3D propagation algorithm. Our novel depth edge enhancement method efficiently corrects and sharpens the depth edges in the propagated depth image using available high resolution color information. Experimental results show that only with 4% depth information kept for low resolution depth image, the proposed method can provide comparable rendering quality to that of the high resolution case. Furthermore, the proposed work is developed to match the fine-grain parallelism of general-purpose graphics processing units (GPGPUs) and hence can be accelerated to nearly real-time operations in low cost DIBR systems.
Access control cube model in the administrative system a single level

In the administrative system of the government, there are agents, which have some work and some roles. Every agent can also work in many parts. An agent role is assigned some operations to access database such as: View, Insert, Delete, Update and Publish data. An agent can work in many levels of the government. In this paper, the author designs a model in which an agent works in a single level which has 6 axes: Subjects, Operations, Parts, Objects, Roles and Times. But designing a hexagonal cube model is very complex and can cause a lot of confusion. Therefore, the separation of hexagonal cubes is the solution that the author have selected. In the separation, the objects depend on part group; the operations are attached to the role; the links of subject, part, role are called Agent Cubes; in special cases, there are some special agent cubes which are linked by set {subject, object, operation}; Each of this cube will be assigned the starting time to active cube and the ending time to deactivate cube. When each cube works in a level or a specific location, the data will be stored in database system.
Architectural Semantics for Practical Transactional Memory

Transactional Memory (TM) simplifies parallel programming by allowing for parallel execution of atomic tasks. Thus far, TM systems have focused on implementing transactional state buffering and conflict resolution. Missing is a robust hardware/software interface, not limited to simplistic instructions defining transaction boundaries. Without rich semantics, current TM systems cannot support basic features of modern programming languages and operating systems such as transparent library calls, conditional synchronization, system calls, I/O, and runtime exceptions. This paper presents a comprehensive instruction set architecture (ISA) for TM systems. Our proposal introduces three key mechanisms: two-phase commit; support for software handlers on commit, violation, and abort; and full support for open- and closed-nested transactions with independent rollback. These mechanisms provide a flexible interface to implement programming language and operating system functionality. We also show that these mechanisms are practical to implement at the ISA and microarchitecture level for various TM systems. Using an execution-driven simulation, we demonstrate both the functionality (e.g., I/O and conditional scheduling within transactions) and performance potential (2.2� improvement for SPECjbb2000) of the proposed mechanisms. Overall, this paper establishes a rich and efficient interface to foster both hardware and software research on transactional memory.
Data Storage Adapter in Big Data Platform

Data management is an essential part in developing services in big data platform. Many data storage systems have been invented by different organizations without specific standards. As a result, when the application complexity increases, using these systems is becoming more difficult and complicated. We propose a system relating to the field of big data storage management, in particular to the data access interface to let users obtain easily their desired data from different data storage systems and connect simply to different data processing engines. Moreover, it lets managers update conveniently their data storage interfaces.
A Scalable Hybrid Approach to Switching in Metro Ethernet Networks

The most common technology in local area networks is the Ethernet protocol. The continuing evolution of Ethernet has propelled it into the scope of metropolitan area networks. Even though Ethernet is fast and simple, the spanning tree in Ethernet is inefficient in terms of network utilization and load balancing. In this work, we compare the performance of spanning tree and link state algorithms in the context of layer 2 switching. In addition, we introduce a hybrid scheme that is customized for metro Ethernet networks. The results show that the hybrid scheme increases utilization and reduces the congestion ratio and delay. The performance gained as compared to RSTP, link state, and MSTP are 20.9%, 9.4%, and 11.4%, respectively. In addition, the hybrid scheme is more scalable than using pure link state.
A Scalable Parallel Debugging Library with Pluggable Communication Protocols

Parallel debugging faces challenges in both scalability and efficiency. A number of advanced methods have been invented to improve the efficiency of parallel debugging. As the scale of system increases, these methods highly rely on a scalable communication protocol in order to be utilized in large-scale distributed environments. This paper describes a debugging middleware that provides fundamental debugging functions supporting multiple communication protocols. Its pluggable architecture allows users to select proper communication protocols as plug-ins for debugging on different platforms. It aims to be utilized by various advanced debugging technologies across different computing platforms. The performance of this debugging middleware is examined on a Cray XE Supercomputer with 21,760 CPU cores.
Demonstration of Nonlinear Effects in an Ultra-Highly Nonlinear AsSe Suspended-Core Chalcogenide Fiber

Self-phase modulation and 10-GHz four-wave mixing are demonstrated in a low-loss and ultra-highly nonlinear suspended-core chalcogenide fiber. A record Kerr nonlinearity of 31 300 is measured and a direct evidence of fast response in time-resolved measurement of the nonlinear frequency conversion of high repetition rate is provided.
Channel quantization based physical-layer network coding for MIMO two-way relay networks

In this paper, a new physical-layer network coding (PNC) scheme is proposed for multiple-input multiple-output two-way relay networks where all network nodes, including two terminal nodes and the relay node, are equipped with multiple antennas. Spatial division multiplexing (SDM) technique is used at the two source nodes to increase transmission rate while the physical-layer network coding based on channel quantization (CQ-PNC) is used at the relay node to achieve diversity gain. The simulation results show that the proposed scheme outperforms significantly both of the previous channel quantization based PNC (CQ-PNC) and SDM-PNC schemes.
Binomial-Mix-Based Location Anonymizer System with Global Dummy Generation to Preserve User Location Privacy in Location-Based Services

We propose a binomial-mix-based location anonymizer system with global dummy generation to protect user location privacy in location-based services in the face of attacks from a global active adversary and even with untrusted location-based service providers. Our proposed system overcomes the disadvantages of high latency in general-purpose mix-net systems when they are applied to location-based services, and the imprecision of query result or inefficiency due to large number of candidates in query result of existing obfuscation or spatial cloaking techniques. In our system, dummies (false locations) are generated globally in order to reduce the latency of requests to location-based services. A centralized dummy generation mechanism exploits all users' activities to optimize the system's behavior and performance. Because of the randomness provided by a binomial mix, our system prevents an adversary from determining with certainty whether a user is at a specific location. Our system also lets users define and update their personal location privacy maps and satisfies a probabilistic real-time condition that ensures delivery of any request within a predefined duration with high probability.
Attribute Profiles on Derived Textural Features for Highly Textured Optical Image Classification

Morphological attribute profiles (APs) have thus far been proven effective for remote sensing image classification by several research studies. However, recent studies have shown that a direct application of APs to highly textured and structured images, especially in very high-resolution (VHR) optical imagery, may be insufficient. Some solutions have been proposed to deal with this issue, such as to extract the local histograms and the local features of AP images [histogram-based APs (HAPs) and local feature-based APs (LFAP), respectively], or to combine APs with different textural features. In this letter, we review these approaches and then propose a novel strategy, which directly generates APs on some derived textural features instead of separately combining them. Experimental results from both natural textures and VHR optical remotely sensed images show that the proposed approach can produce superior classification performance than the standard APs, HAPs, LFAPs, as well as the classical combination of APs with textural features.
A Flexible, Low-Power Analog PLL for SoC and Processors in 14nm CMOS

This paper presents a PLL supporting diverse low-power clocking needs including wide input (6–200 MHz) and output (0.15–5 GHz) frequency ranges and SSC operation. Fabricated in 14nm FinFET CMOS, a low-power switched-cap loop filter is employed to enable high −3dB PLL bandwidth (>40% of <inline-formula> <tex-math notation="LaTeX">$f_{\mathrm{ REF}}=19.2$ </tex-math></inline-formula> MHz), and the proposed reference current generator (IrefGen) provides accurate current with <4% tolerance without the need for external components or on-chip precision resistors. IrefGen decouples PLL loop dynamics from feedback divide ratio and provides immunity to systematic capacitor variation. Power gating of switched-cap loop filter’s bias circuits results in more than 10% PLL total power savings. The PLL achieves 1.6-ps integrated RMS jitter at 4 GHz using 100-MHz reference while consuming 2.6 mW from 0.95 V. The PLL performance satisfies the stringent PCIe Gen2/3 jitter specifications without resorting to inductors.
Channel assignment in ad-hoc networks using a common channel: Algorithms and metrics

The capacity of ad-hoc networks can be easily increased by the use of multiple radios. This consists of equipping the nodes with several wireless interfaces and assigning orthogonal channels to each of them. As the optimal channel assignment which minimizes interference is NP-hard, we propose and compare a set of heuristics. We consider different metrics to compare these algorithms, from the size of the conflict graph to the real throughput measured within NS-3 simulator. Our algorithms perform as well as the optimal when the number of radios and channels are small, whereas there is a noticeable difference when for small number of radios there is great number of channels. Also, we show that in our context, the classical conflict graph metric is not accurate to determine the algorithm which maximizes the network capacity.
Active Lifetime Extension for a 3L-NPC inverter with Direct Torque Control

The redundant states in the output voltages of a Three-level Neutral Point Clamped Voltage Source Inverter (3L-NPC VSI) can be used to control the neutral point or to reduce the common mode voltage. However, the use of the redundant states to redistribute the losses among the switching devices of 3L-NPC VSI is a further possibility that was reported in previous papers. The proposed method for active redistribution of losses among the switching devices can become necessary in the practice to relieve stressed switches, which suffer excessive thermal stress due to malfunctions. In this paper, a new fault tolerant control approach is introduced to deal with this matter by modifying the switching table of the DTC (Direct Torque Control) scheme for a 3L-NPC VSI. An increased thermal stress in one IGBT module can be detected by sensing the temperature of the heatsink; consequently the switching patterns are immediately altered to redistribute the losses of the stressed IGBT module to the other cooler switches. Hence, the temperature of the stressed switches is kept under the critical limit and the thermal overload is reduced. In such way the reliability and the lifetime of inverter are maximized, even in case of thermal failure. This modulation scheme is called “Active Lifetime Extension” (ALE) and was presented in previous works for the case of field oriented control. In this paper the procedure is extended to the case of DTC.
Adaptive linear learning for on-line harmonic identification: An overview with study cases

This work reviews Adaline-based techniques for estimating Fourier series. The Adaline, with its linear structure and learning, fits a Fourier series by expressing any periodic signal as a sum of harmonic terms. The learning with elementary harmonic inputs enforces the weights to converge to the amplitudes. The Adaline therefore individually identifies the amplitudes of the harmonic terms present in the measured signal in real-time. Relevant study cases are provided. Performances are evaluated and show that harmonic terms of the signals are efficiently estimated.
A fingerprint recognizer using fuzzy evolutionary programming

A fingerprint recognition system is built with two principal components: the fingerprint administrator and the fingerprint recognizer. Fingerprints are identified by their special features, such as ridge endings, ridge bifurcation, short ridges and ridge enclosures, which are collectively called the minutiae. The fingerprint administrator uses the method of gray-scale ridge tracing backed up by a validating procedure to extract the minutiae of fingerprints. The fingerprint recognizer employs the technique of fuzzy evolutionary programming to match the minutiae of an input fingerprint with those from a database. Experimental results show the methods used are highly effective.
A fuzzy MCDM method to select the best company based on financial report analysis

In this paper, based on financial report analysis, a multi-criteria decision-making approach for supporting decision is presented. There are five companies are evaluated by proposed method. Fuzzy AHP (Analytic Hierarchy Process) is utilized to evaluate weights of criteria for selecting company and fuzzy TOPSIS (technique for order preference by similarity to ideal solution) is used to determine the most suitable alternative with respect to various considered criteria. A numerical example is also included to demonstrate the proposed approach.
A robotics modeling, design and simulation toolbox in Ptolemy II

This paper presents an experimental toolbox for modeling, design and simulation in robotics. “Experimental” is understood in the sense that the toolbox is based on an actor-oriented modeling and design environment, i.e., the Ptolemy II environment. Ptolemy II supports system development by a hierarchical refinement of possibly heterogeneous subsystems. Currently the toolbox provides basic features such as the automatic generation of manipulator kinematic and dynamic equations, collision detection, and motion simulation. The toolbox profits naturally from the infrastructure of Ptolemy II.
Applying Semantic Similarity to Phrase Pivot Translation

Pivot methods have shown to be an effective solution to overcome the problem of unavailable large bilingual corpora in statistical machine translation. The representative approach of pivot methods is the phrase pivot translation which is based on common pivot phrases to produce connections between source-pivot and pivot-target phrase tables. Nevertheless, this approach produces insufficient connections behind the phrase tables because pivot phrases still contain the same meaning even when they are not matched to each other. In this work, we propose applying semantic similarity between pivot phrases to phrase pivot translation. In order to extract similar pivot phrases, we used string similarity measures for phrase similarity, and WordNet and Word2Vec were used for word similarity. The experiments show that using semantic similarity is able to extract more informative phrases, which can support for phrase pivot translation.
A novel multi-beamforming multi-channel GNSS receiver design for interference mitigation

In this paper, we consider the problem of interference mitigation in GNSS navigation. In this work, we introduce the novel concept of multi-beamforming as our approach to multi-channel receiver design in order to enable dynamic tracking of satellite vehicles within the field of view. Special attention is given to beamwidth control. The receiver is equiped with two stages of operation. In the first stage, the beamwidth is widen for searching satellites while interference sources are suppressed. In the second stage, multiple-beam scheme is used to track satellites for the robustness of the system under interference environment. The characteristics of the proposed system model is demonstrated using computer simulations.
Characterization and performance analysis of a TOAD switch employing a dual control pulse scheme in high-speed OTDM demultiplexer

This letter presents the characterization, analysis and simulation of a novel dual control pulse (CP) scheme for the Terahertz Optical Asymmetric Demultiplexer (TOAD) switch used as a demultiplexer in optical time division multiplexing (OTDM) system. The dual-CP TOAD offers symmetrical switching window (SW) which reduces inter-channel crosstalk (CXT) in switched/demultiplexed channels, thus significantly improving the bit-error-rate (BER) and received power penalty. The improvements in CXT and received power penalty are 5 and 1.5 dB (at BER = 10-9), respectively, for demultiplexing high bit rates of 200 and 300-to-10 Gb/s.
A Fast Algorithm for Constructing Constrained Delaunay Triangulation

This paper presents a fast incremental insertion algorithm for constructing constrained Delaunay triangulation. Constraints are considered any kind of polygonal lines. The bottleneck of incremental Delaunay triangulation algorithm is the search for a triangle containing current integrating point. The advantage of our algorithm over the others is that we used an efficient Skvortsov's algorithm, dynamic uniform grid. It is used to insert point into an existing triangulation. A topology model is used to represent a triangle network so that we can easily and fast locate a point in a triangulation. The rest of algorithm presents a method for constrained edges, already proposed by Anglada. The algorithm is fast and easy to implement.
Common Visual Pattern Discovery via Nonlinear Mean Shift Clustering

Discovering common visual patterns (CVPs) from two images is a challenging task due to the geometric and photometric deformations as well as noises and clutters. The problem is generally boiled down to recovering correspondences of local invariant features, and the conventionally addressed by graph-based quadratic optimization approaches, which often suffer from high computational cost. In this paper, we propose an efficient approach by viewing the problem from a novel perspective. In particular, we consider each CVP as a common object in two images with a group of coherently deformed local regions. A geometric space with matrix Lie group structure is constructed by stacking up transformations estimated from initially appearance-matched local interest region pairs. This is followed by a mean shift clustering stage to group together those close transformations in the space. Joining regions associated with transformations of the same group together within each input image forms two large regions sharing similar geometric configuration, which naturally leads to a CVP. To account for the non-Euclidean nature of the matrix Lie group, mean shift vectors are derived in the corresponding Lie algebra vector space with a newly provided effective distance measure. Extensive experiments on single and multiple common object discovery tasks as well as near-duplicate image retrieval verify the robustness and efficiency of the proposed approach.
Design dual band microstrip antenna for next generation mobile communication

This paper concentrates on studying, designing and manufacturing a dual - band and high - bandwidth antenna applied for 3G and 4G mobile handsets. This antenna can work in UMTS bands of 1900 MHz frequencies, also work in 4G-LTE of 700MHz, 1800MHz, 2100MHz and 2600MHz frequencies. Antenna is printed on FR4 substrate with size of 50 mm × 50 mm, thickness of 1.6 mm and relative permittivity of 4.4. The propose antenna is experimentally studied.
A Ku-band high efficiency ion-implanted MMIC amplifier

The design of a three-stage single-ended power amplifier is described. Of the MMIC (monolithic microwave integrated circuit) amplifiers reported, this MMIC amplifier has the highest power gain of 18 dB, the highest power added efficiency of 30 percent, and a broad bandwidth from 12 GHz to 16 GHz. Also described are other pertinent factors of the ion implantation process.<<ETX>>
Barometric pressure change measurement

In this paper, we report a high-sensitivity barometric pressure sensor for use in automotive navigation, personal mobile systems and environmental monitoring. The sensor consisted of an open cavity and a micro piezo-resistive cantilever, which is placed at the cavity's opening. In the proposed structure, the cavity did not need to be vacuum-sealed and the air-gap between the cantilever and its surrounding walls was micrometer order size. The cantilever was used to detect the time-variant interaction between barometric pressure and the pressure inside the cavity. Evaluation experiments demonstrate that the sensor is able to measure the barometric pressure change with high sensitivity, with expected resolution of 0.1 Pa.