nils-herrmann/clean_scirepeval huggingface dataset:
Cross-over spanning trees Enhancing metro ethernet resilience and load balancing

The economics and familiarity of Ethernet technology is motivating the vision of wide-scale adoption of Metro Ethernet Networks (MEN). Despite the progress made by the community on additional Ethernet standardization and commercialization of the first generation of MEN, the fundamental technology does not meet the expectations that carriers have traditionally held in terms of network resiliency and load management. These two important features of MEN have been addressed in this paper. We propose a new concept of Cross-Over Spanning Trees (COST) that increases the resiliency of the MEN while provisioning the support for load balancing. As a result, the capacity in terms of network throughput is greatly enhanced while almost avoiding any re-convergence time in the case of failures. The gain ranges from 1.69% to 7.3% of the total traffic in the face of failure; while load balancing increases an additional 12.76% to 37% of the total throughput.
A novel fuzzy-based control strategy for grid-connected large-scale solar farm with supporting the grid-frequency regulation

This paper presents a novel control strategy based on fuzzy logic to adjust fittingly the total output-active power injected into a local grid from a large-scale photovoltaic (PV) farm to support grid-frequency regulation. The strategy consists of a central coordinating controller and local controllers at PV power agents. Wherein, the central controller uses a frequency regulation module based on a unique fuzzy logic controller (FLC) to determine the reference value of total active power needed; and then appropriately coordinates the individual reference value for the local controller at each PV agent. As well, each local controller drives all the power-electronic converters and battery charger installed at PV agent to deliver power to the grid exactly according to the reference value obtained from the central controller. Besides, in each local controller, a simulation module based on the mathematical model of PV panel is used to predict beforehand the maximum power from PV arrays, and a control algorithm to regulate state-of-charge (SOC) of the battery bank is also implemented. Simulation results show that the proposed strategy has good performance in delivering the active power to grid with regulating the grid frequency in tolerable ranges even if the AC-system load and solar irradiation unexpectedly vary. Moreover, efficacy in regulating grid frequency of the suggested strategy is also compared with the conventional strategy which uses the full maximum power point tracking (MPPT) mode.
Control strategy for stabilization of the biped trunk-SLIP walking model

In this paper, we present a new control strategy for the Bipedal Trunk Spring Loaded Inverted Pendulum (BTSLIP) model, consisting of springy legs and rigid trunk. Our walking controller is inspired from the Virtual Pendulum (VP) concept. In this concept, by intersecting the ground reaction forces (GRF) to a virtual pivot point (VPP), the trunk is provided the restoring moment to keep its balance and to behave like a virtual hanging pendulum. The simple hip torque control was presented with the name the VPP method. However, this approach is not reliable in terms of rejecting disturbances. Thus, we propose a new control strategy to achieve the robustness and stabilize the walking gait. Herein, the control is introduced with the combination of two strategies, 1) updating the position of the VPP by using Discrete Linear Quadratic Regulator controller and 2) controlling the stiffness of springy legs by feedback linearization controller to track both reference vertical position and velocity of the Center of Mass (CoM). We present the dynamic simulation of the BTSLIP model under the presence of external disturbances. The performance of the proposed control strategy shows stable, robust walking which is compared with the VPP method.
A SINR-based transmission power control for MAC protocol in wireless ad hoc networks

This paper proposes a power control MAC protocol that allows the nodes to vary transmission power. By using the minimum required transmission power, our proposed protocol can improve the spatial reuse and energy saving. The main idea is to adopt IEEE 802.11 Power Saving Mechanism (PSM) and the appropriate power control scheme for the wireless ad hoc networks. All control messages are transmitted at the maximum transmission power in the ATIM window, while data packets are sent at the minimum required transmission power in the data window. Based on the receiving power and the transmission power information of the control messages from the neighboring nodes, a node checks whether it can transmit simultaneously while it guarantees the interference level at its neighboring nodes. Simulation results show that the proposed protocol outperforms the IEEE 802.11 in terms of aggregate throughput, average delay and energy efficiency.
140 GHz, 1 MW, CW gyrotron for fusion plasma heating

Gyrotrons at high frequency with high output power are mainly developed for microwave heating and current drive in plasmas for thermonuclear fusion. For the stellarator Wendelstein 7-X now under construction a 10 MW ECRH system is foreseen. A European collaboration has been established to develop and build the 10 gyrotrons each with an output power of I MW for continuous wave operation (30 min). The design parameters of the gyrotron are summarized.
A new mechanical birth simulator: BirthSIM

This paper deals with a new mechanical birth simulator (BirthSIM). Currently available birth simulators provide manikins that include new-born head and maternal pelvis but they do not produce the movements of the new-born in the mother's pelvis. Furthermore available maternal pelvis do not include interface pressure and are not enough realistic to simulate maternal pelvic muscles. In summary, these simulators do not help students to practice the gestures they should safely use to help the new-born in normal and at-risk situations of delivery. The originality of our mechanical birth simulator, is to provide a system to mimic the last step of the instrumental delivery, to insure a safe training of junior obstetricians and to test new techniques in obstetrics practice. The new mechanical birth simulator is composed of three parts: a physical new-born head and a maternal pelvis manikin, an interface pressure system, and a pneumatic actuator that develops an active resistance. Driven by a computer, the simulator can simulate the contractions, the interface pressure applied in the new-born head and mimic birth complications.
A High Performance Dynamic ASIC-Based Audio Signal Feature Extraction (MFCC)

State-of-the-art speech recognition, speech analysis as well as music modeling have approached Mel-Frequency Cepstral Coefficient (MFCC) and confirmed great performance in comparison to other feature extractions. Based on obtained software performance, a wide range of hardware designs are applied to highly increasing integrated systems achieving real-time performance and ability of mobility. Nevertheless, most hardware approaches witnessing certain configurations have experienced limitation of functions due to fixed-point format, strict silicon requirements or exact applications, which is reasonable for low ability of reusing and high cost of product. As regards MFCC method, there are various concerning parameters such as number of samples, range of filter bands, Fast Fourier Transform (FFT) number, number of cepstrums or even different level of delta coefficients, which significantly affect final performance of entire applications. As a result, a dynamic ASIC-based MFCC hardware architecture is proposed in this paper in order to meet real-time system requiring high performance as well as confirm superiorities regarding to ability of reconfiguration feasibly through an Advance High-performance Bus (AHB) interface in chip level instead of modifying at Register Transfer  in developed duration. Besides, have not only experiments on 130nm technology with full ASIC design flow witnessed high frequency at 500MHz but applying IEEE 754 floating-point format has also confirmed great accuracy between hardware design and software design, which apply in certain application towards Vietnam automatic speech recognition (ASR).
Applying the dual-tree complex DWT and double density DWT for mass spectrometry feature extraction and classification

In this paper, we propose to use dual-tree complex and double density discrete wavelet transform for extracting mass spectrometry features. Two corresponding procedures are suggested for mass spectrometry classification. Several experiments are deployed on two types of MALDI-TOF mass spectra, including stable spectra and noisy spectra. The classification results show that our proposed procedures not only obtain better performance than previous methods but are robust-to-noise.
Attribute Fusion in a Latent Process Model for Time Series of Graphs

Hypothesis testing on time series of attributed graphs has applications in diverse areas, e.g., social network analysis (wherein vertices represent individual actors or organizations), connectome inference (wherein vertices are neurons or brain regions) and text processing (wherein vertices represent authors or documents). We consider the problem of anomaly/change point detection given the latent process model for time series of graphs with categorical attributes on the edges presented in A latent process model for time series of attributed random graphs,” Statist. Inference Stoch. Process., vol. 14, pp. 231–253, 2011]. Various attributed graph invariants are considered, and their power for detection as a function of a linear fusion parameter is presented. Our main result is that inferential performance in mathematically tractable first-order and second-order approximation models does provide guidance for methodological choices applicable to the exact (realistic but intractable) model. Furthermore, to the extent that the exact model is realistic, we may tentatively conclude that approximation model investigations have some bearing on real data applications.
A Faster without Scarifying Accuracy Online Decomposition Approach for Higher-Order Tensors

Tensors could be very suitable for representing multidimensional data. In recent years, CANDECOMP/ PARAFAC (CP) decomposition which is one of the most popular methods for Multidimensional Data Analysis has been widely studied and extensively applied. However, today’s datasets will often change dynamically, and the amount of data is showing a trend of exponential growth. It is a very necessary and difficult task to perform a CP decomposition on a dynamically changing tensor with very large scale growth. The traditional and classic methods, such as Alternating Least Squares (ALS) algorithm, cannot be directly used to the dynamical tensor due to their huge consumption of time and memory. In addition, the existing online CP methods can only partially solve this problem and can only be applied to thirdorder tensor. Based on the online CP method, we proposed a simplified online CP decomposition algorithm that can be a good solution to these problems. It not only has the similar decomposition accuracy rate with ALS algorithm but also the decomposition speed faster than the ALS algorithm hundreds of thousands of times. Comparing with other state-of-theart online CP methods, it has better decomposition quality and decomposition speed. The experimental results of four methods show that, our approach reduces computational time significantly without scarifying accuracy. our approach has a similar accuracy rate, and the speed has increased by tens times than online CP decomposition. Even in some datasets, the speed and accuracy of our approach are both better than the other approach.
An Ultrafast with High Contrast Ratio 1×2 All-optical Switch based on Tri-arm Mach-Zehnder employing All-optical Flip-flop

This paper introduces a novel 1×2 all-optical switch based on Tri-arm Mach-Zehnder (TaMZ) that uses an all-optical flip-flop (AOFF). The proposed switch is analytically modeled and simulation shows a marked improvement in signal on/off contrast ratio (CR) between two outputs over a larger range of control signal power compared to the existing symmetric Mach- Zehnder (SMZ) switches. In addition, TaMZ switch offers both broadcasting and complete switch-off capability, which further enhances the flexibility of the optical switching applications. The paper presents the principle of TaMZ-based switch and investigates the CR performance. It is shown that the CR improvement is more than 10 dB compared to conventional SMZ switch in a control signal power range of 20 dB.
An Experimental Comparison of Two Risk-Based Security Methods

A significant number of methods have been proposed to identify and analyze threats and security requirements, but there are few empirical evaluations that show these methods work in practice. This paper reports a controlled experiment conducted with 28 master students to compare two classes of risk-based methods, visual methods (CORAS) and textual methods (SREP). The aim of the experiment was to compare the effectiveness and perception of the two methods. The participants divided in groups solved four different tasks by applying the two methods using a randomized block design. The dependent variables were effectiveness of the methods measured as number of threats and security requirements identified, and perception of the methods measured through a post-task questionnaire based on the Technology Acceptance Model. The experiment was complemented with participants' interviews to determine which features of the methods influence their effectiveness. The main findings were that the visual method is more effective for identifying threats than the textual one, while the textual method is slightly more effective for eliciting security requirements. In addition, visual method overall perception and intention to use were higher than for the textual method.
BER evaluation/or 3×3 reconfigurable multiwavelength bidirectional optical cross-connect

The paper presents a power-compensated, 3×3 reconfigurable, multiwavelength and bidirectional optical cross-connect (RMB-OXC) for all-optical communications networks. RMB-OXC characteristics and its performance are experimentally verified in a bidirectional 8-channel × 10 Gb/s capacity system. We have observed only ~0.5 dB power penalty in the bidirectional transmission in comparison to the unidirectional transmission. The proposed RMB-OXC can be utilised in many applications in high-speed wavelength division multiplexed (WDM) networks.
A vision-based human identification method

In this paper, we proposed a vision-based human identification method for unconstrained images. The proposed method is composed of two parts: feature extraction and human identification classifier. After human detection, color and shape information is adopted for human identification. The dominant color feature is to measure the color information from some interesting points within the moving person. The directional swing distance is used to measure the change of body shape while walking. A SVM classifier with these features is trained to recognize persons. The experimental results demonstrate that the proposed system can achieve human identification well.
A reliable multi-hop safety message broadcast in Vehicular Ad hoc Networks

Vehicular Ad hoc NETworks (VANETs) should provide the reliable safety message broadcasts and the efficient non-safety message transmissions to vehicles. The IEEE 1609.4 MAC, which supports multi-channel operations in VANETs, is not reliable enough for the safety message broadcast and not efficient in the Service CHannel (SCH) resources utilization. In this paper, we propose a MAC protocol which supports a Reliable Multi-hop Safety message Broadcast (RMSB-MAC) in VANETs. Each Multi-hop Forwarder (MF) collects the safety messages from the neighbor vehicle nodes, and then the MF uses its reserved time slot to broadcast them to all vehicle nodes in its transmission range as well as to forward them to the next MF. Moreover, by allowing vehicle nodes to exchange non-safety messages during the Control CHannel Interval (CCHI), the RMSB-MAC utilizes the SCH resources more efficiently.
A Kangaroo inspired heterogeneous swarm of mobile robots with global network integrity for fast deployment and exploration in large scale structured environments

A heterogeneous robotic swarm for fast deployment and exploration in large scale structured environments is addressed in this paper. The swarm consists of a marsupial robot that is capable of carrying the small robots for fast deployment and loading the small robots for fast displacement. The heterogeneous robotic swarm is governed by a hierarchical distributed control including distributed node control for behavioural control and connectivity maintenance, and distributed connectivity control for network expansion and global network integrity. We illustrate systematic characteristics and potential applications of the heterogeneous robotic swarm compared to the homogeneous robotic swarm through simulation results.
CFRP monitoring method with piezoresistive beams

In this study we present an approach for carbon fiber reinforced polymer (CFRP) monitoring using miniature embedded piezoresistive sensors. The sensor includes 3 pairs of piezoresistive beams that enable it to measure both three-dimensional stresses (3-D stresses) and Acoustic Emissions (AE). The sensor was so tiny that we can embed it in a CFRP sheet with thickness of 1.6 mm. X-ray image proves that the piezoresistive beams could maintain their form even after the pressing and heating process in CFRP formation. Experiment results demonstrate that 3-D stresses and AE can be measured at the same time using our proposed method.
A Single-Phase Z-Source Buck–Boost Matrix Converter

This paper proposes a new type of converter called a single-phase Z-source buck-boost matrix converter. The converter can buck and boost with step-changed frequency, and both the frequency and the voltage can be stepped up or stepped down. In addition, the converter employs a safe-commutation strategy to conduct along a continuous current path, which results in the elimination of voltage spikes on switches without the need for a snubber circuit. The operating principles of the proposed single-phase Z-source buck-boost matrix converter are described, and a circuit analysis is provided. To verify the performance of the proposed converter, a laboratory prototype was constructed with a voltage of 40 Vrms/60 Hz and a passive RL load. The simulation and the experimental results verified that the converter can produce an output voltage with three different frequencies 120, 60, and 30 Hz, and that the amplitude of the output voltage can be bucked and boosted.
A real-time ellipse detection based on edge grouping

In this paper, we present a efficient algorithm for real-time ellipse detection. Unlike Hough transform algorithm that is computationally intense and requires a higher dimensional parameter space, our proposed method reduces the computational complexity significantly, and accurately detects ellipses in realtime. We present a new method of detecting arc-segments from the image, based on the properties of ellipse. We then group the arc-segments into elliptical arcs in order to estimate the parameters of the ellipse, which are calculated using the least-square method. Our method has been tested and implemented on synthetic and real-world images containing both complete and incomplete ellipses. The performance is compared to existing ellipse detection algorithms, demonstrating the robustness, accuracy and effectiveness of our algorithm.
Adaptive spray: An efficient restricted epidemic routing scheme for delay tolerant networks

In Delay Tolerant Networks, there is no guarantee that a fully connected path between source and destination exists any time. In this context, the limited hop count scheme which allows a message to travel at most k hops is considered as a basic routing scheme. However, there are no significant works offering an efficient method to identify a proper value for k. In this paper, we propose a new approach, named Adaptive Spray (AS-scheme). Instead of identifying a strict value k, it heuristically identifies a real-value coefficient to improve the network performance while eliminating the computational complexity. By leveraging only local knowledge like messages remaining time and nodes meeting rate, AS-scheme is highly scalable. Simulation results reveal that the proposed approach can quickly identify an appropriate coefficient and outperforms Epidemic algorithm in terms of increasing delivery rate, reducing overhead ratio and average latency, especially in dense networks.
Automatic Web Service Composition Using ConGolog

Semantic Web Service, nowadays, is emerging as a solution for interoperating distributed applications on the WWW. Web service composition is the task of combining existing web services to yield a new service in order to achieve a desired goal. In this paper, we propose a formal approach to translate OWL-S web service descriptions into primitive and complex actions of ConGolog, a high level logic programming language with sensing actions for web service composition. In addition, in order to support information gathering with search in an open world initial database, we propose an extended version of the middle-ground ConGolog interpreter which relies on a theorem-prover with prime implicates.
Designing Wireless Backhaul Heterogeneous Networks With Small Cell Buffering

In this paper, we consider a novel model of two-tier wireless backhaul (WB) small cell networks where each small cell access point is equipped with a buffer of finite storage. We employ a time-spectrum transmission accommodation scheme to separate the WB and access transmissions on top of developing a joint optimized transmit beamforming and power allocation algorithm. Unlike previous work, we propose a more advanced buffering protocol to study the small cell performance improvement by solving the offline and online optimization problems that maximize the total small cell access rate. Both kind of problems are generally non-convex and NP-hard. The offline scheme assumes the availability of channel state information (CSI) in current and future time slots and is used as a benchmark for online algorithms. To solve it, we develop a low-complexity algorithm which iteratively solves a sequence of lower bounded convex approximated problems until convergence. The formulated online problems must be solved in a slot-by-slot manner since transmitters only know the CSI of the current time slot. Then, we also develop low-complexity online algorithms to jointly design the transmit beamforming and power allocation. Our theoretical and numerical simulation results show that our proposed model with advanced buffering strategy outperforms the conventional designs in terms of small cell access rate for both offline and online algorithms.
DBTRU, a new NTRU-like cryptosystem based on dual binary truncated polynomial rings

NTRU is a probabilistic public key cryptosystem having security related to some hard problems in lattices. The original NTRU operates on the on a N-ft degree truncated polynomial ring R = Z[x]/(xn + 1). In this paper, DBTRU, a new variant of NTRU based on two binary truncated polynomial rings GF(2)[x]/(xn + 1)|n ϵ Z+ is proposed along with some security and performance advantages in comparison with standard NTRU.
Bearing-Based Formation Control of a Group of Agents With Leader-First Follower Structure

This paper studies bearing-based formation control of a group of autonomous agents with the leader-first follower (LFF) structure in an arbitrary dimensional space. First, the bearing-based Henneberg construction and some properties of the LFF formation are introduced. Then, we propose and analyze bearing-only control laws that almost globally stabilize LFF formations to a desired formation. Further strategies to rotate and rescale the target formation are also discussed. Finally, simulation results are provided to support the analysis.