nils-herrmann/clean_scirepeval huggingface dataset:
A wavelet and Canny based image comparison

A robust and reliable image comparison method enables many computer vision applications such as wireless surveillance systems, fingerprint and face recognition. In this paper, we propose an image comparison method that can indicate reliably the similarity and difference between two images. It is constructed by combining an image quality measure and a simple Canny based image comparison metric. Our experiment results show that it is tolerant to random noise, structured noise and invariant to the affine transformation.
D* Lite with Reset: Improved Version of D* Lite for Complex Environment

One of the most vital aspects of navigation problem is path planning, in which we must be able to find the optimal path with minimum total transitions cost from the start to goal. This paper introduces the state-of-the-art D*Lite algorithm and presents the efficiency problem of D* Lite in complex environments, particularly in dynamic maze-like environments, where the effect of changes is costly. We propose the new algorithm D* Lite with Reset (D*LR) with two different criteria for resetting. We prove experimentally the performance improvement of D*LR over D* Lite in complex environments. Further implementation of D*LR on both Processing simulator and robotics framework ROS is also presented.
Detecting depression from facial actions and vocal prosody

Current methods of assessing psychopathology depend almost entirely on verbal report (clinical interview or questionnaire) of patients, their family, or caregivers. They lack systematic and efficient ways of incorporating behavioral observations that are strong indicators of psychological disorder, much of which may occur outside the awareness of either individual. We compared clinical diagnosis of major depression with automatically measured facial actions and vocal prosody in patients undergoing treatment for depression. Manual FACS coding, active appearance modeling (AAM) and pitch extraction were used to measure facial and vocal expression. Classifiers using leave-one-out validation were SVM for FACS and for AAM and logistic regression for voice. Both face and voice demonstrated moderate concurrent validity with depression. Accuracy in detecting depression was 88% for manual FACS and 79% for AAM. Accuracy for vocal prosody was 79%. These findings suggest the feasibility of automatic detection of depression, raise new issues in automated facial image analysis and machine learning, and have exciting implications for clinical theory and practice.
Analysis of ISP caching in information-centric networks

Information-centric networking (ICN) models have recently emerged as novel network architectures for dealing with current Internet usage, where most users are interested in retrieving content without regard to its physical location. In this paper, we consider a noncooperative game between an Internet Service Provider (ISP) and content provider (CP) in an ICN model where the ISP is motivated to cache content and the polarity of the side-payment (from the ISP to the CP) in an ICN is basically different from that in the current Internet model (i.e. host-centric communication model). We analyze the existence of equilibrium in the game where in-network caching and pricing are taken into account. We show a condition with respect to the demand-response and caching cost functions for caching investment of the ISP profitable. The Nash equilibrium, the impact of caching on the utility, and comparison between the ICN and Internet models are studied numerically.
Building a web of trust without explicit trust ratings

A satisfactory and robust trust model is gaining importance in addressing information overload, and helping users collect reliable information in online communities. Current research on trust prediction strongly relies on a web of trust, which is directly collected from users based on previous experience. However, the web of trust is not always available in online communities and even though it is available, it is often too sparse to predict the trust value between two unacquainted people with high accuracy. In this paper, we propose a framework to derive degree of trust based on users' expertise and users' affinity for certain contexts (topics), using users rating data which is available and much more dense than direct trust data. In experiments with a real-world dataset, we show that our model can predict trust connectivity with a high degree of accuracy. With this framework, we can predict trust connectivity and degree of trust without a web of trust and then apply it to online community applications, e.g. e-commerce environments with users rating data.
An optimized message aggregation method to resolve funneling effect in mobility management

In infrastructure-based mobile ad hoc networks, every mobile node has to send registration message periodically to register with an Internet Gateway (IG) or update its presence. Since registration messages are delivered to an IG, the mobile nodes near an IG can be congested, thus experiencing a lot of collisions in message transmission. This phenomenon is called “funneling effect.” In this paper, we employ message aggregation technique to resolve the funneling effect and use a skewed time synchronization to maximize the message aggregation. We show by resorting to simulation that the message aggregation technique can alleviate the funneling effect greatly.
Augmenting HMM with neural network for finding gene structure

A probabilistic approach combining a hidden Markov model and neural networks is implemented to identify different functional entities in nucleotide sequences. This approach augments the Hidden Markov model probability parameters by using the outputs of neural networks. It is designed to capture the compositional properties of complex genes and thereby achieves low error rates and high correlation coefficient measures. Initial experiments demonstrate that the predictive efficiency of the model is considerably higher than the existing models of gene finding.
Assertion Based Parallel Debugging

Programming languages have advanced tremendously over the years, but program debuggers have hardly changed. Sequential debuggers do little more than allow a user to control the flow of a program and examine its state. Parallel ones support the same operations on multiple processes, which are adequate with a small number of processors, but become unwieldy and ineffective on very large machines. Typical scientific codes have enormous multi-dimensional data structures and it is impractical to expect a user to view the data using traditional display techniques. In this paper we discuss the use of debug-time assertions, and show that these can be used to debug parallel programs. The techniques reduce the debugging complexity because they reason about the state of large arrays without requiring the user to know the expected value of every element. Assertions can be expensive to evaluate, but their performance can be improved by running them in parallel. We demonstrate the system with a case study finding errors in a parallel version of the Shallow Water Equations, and evaluate the performance of the tool on a 4,096 cores Cray XE6.
A 88–98 GHz power amplifier in 90 nm CMOS

A 88 to 98 GHz broadband power amplifier (PA) using the low-cost 90 nm CMOS process technology is designed. The positive feedback of common-source (CS) configuration and Y-shaped power divider and combine are employed to improve performance of the PA. The proposed PA exhibits a simulated saturated output power (PSAT) of 17 dBm, output-referred 1 dB compression point (OP1dB) of 15.2 dBm, power added efficiency (PAE) of 16.4%, and gain of 20.4dB at 94 GHz. In addition, the input and output reflection coefficients is below -10dB at 94 GHz. Simulated results show that the methods applied to this PA can effectively improve gain, OP1dB and PAE of the PA.
An Autonomous Star Recognition Algorithm with Optimized Database

A novel star pattern recognition algorithm is presented for satellite attitude determination in the "lost in space" mode. The proposed method improves the speed in searching a large star catalogue by arranging it using a search tree data structure. The algorithm also processes the star image at grid level instead of pixel level to further improve the processing time. The experimental results show that the proposed approach significantly reduces the average run-time by 50% as compared with the conventional methods while still achieving slightly better star recognition accuracy at 95.07%.
Control of a pneumatic artificial muscle (PAM) with model-based hysteresis compensation

Due to the inherent hysteresis in a PAM, the accompanying control of such actuator becomes complicated. In this paper, the pressure/length hysteresis is mathematically described by applying a Maxwell-slip model. The model of this hysteresis is then fed forward to compensate for the actuator nonlinearities. The designed controller is therefore just a simple PI-controller. It shows robust performance in PAM positioning control regarding not only at different equilibrium positions but also with different loads.
4.3 A 20nm 2.5GHz ultra-low-power tri-cluster CPU subsystem with adaptive power allocation for optimal mobile SoC performance

This paper describes design features of the high-performance CPU from a heterogeneous tri-cluster, deca-core CPU subsystem incorporated into the Helio X20 mobile SoC for smartphone applications. The SoC is fabricated in a 20nm high-κ metal-gate CMOS, and has a die size of 100mm2. Additional key features of the SoC include: a graphics processor unit, multimedia (including 32MPixel/24fps camera support), and connectivity subsystems integrating 802.11ac, GPS, and multistandard cellular modems, featuring LTE FTD/TDD R11 Cat-6 with 20+20 carrier aggregation (300/50Mb/s) DC-HSPA+, TD-SCDMA, Edge, CDMA2000 1x/EVDO Rev. A (SRLTE).
A particle cloud propagation algorithm for target tracking in Wireless Sensor Network

Target tracking is one of many important applications in Wireless Sensor Network (WSN). For this tracking application, it is necessary to implement some techniques such as estimation and prediction in order to determine state and position of an unknown target. In this paper, we propose a new particle cloud propagation algorithm that is based on Particle Filter for target tracking in WSN. The proposed method allows to track different kind of targets, including unfriendly targets in nonlinear and/or non-Gaussian environment. Our simulation result shows that the proposed method outperforms existing particle propagation algorithms, particularly in the case of high noisy environment.
Data-hiding Scheme for Digital-audio in Amplitude Modulation Domain

This paper proposes an audio-data hiding scheme for amplitude-modulation (AM) radio broadcasting systems. The digital-audio method of watermarking based on cochlear delay (CD) that we previously proposed is employed in this scheme to send an inaudible message. We investigate the feasibility of a data-hiding scheme in the AM domain by applying the method of CD-based inaudible watermarking. The proposed scheme embeds both original and watermarked signals as lower and upper sidebands into the AM signals by using the method of double-sideband with carrier (DSB-WC) and then transmits them to the receivers. Particular receivers in the proposed scheme can detect both original and watermarked signals by demodulating both sidebands with DSB-WC and then extract messages from the watermarked signal with the original signal using CD-based watermarking. The results we obtained from computer simulations revealed that the proposed scheme can transmit messages as watermarks in AM radio systems and then correctly extract the messages from AM signals. The results also indicated that the sound quality of the demodulated signals could be kept at higher levels not only with the proposed scheme but also in traditional AM radio systems. This means that the proposed scheme has the possibility of acting as a hidden-message transmitter as well as having low-level compatibility in AM radio systems.
A platooning controller robust to vehicular faults

This paper presents a platooning controller for a four-wheel-driving four-wheel-steering vehicle to follow another. The controller is based on the full-state tracking theory and utilizes a vehicular model that makes it able to continue to operate when faults are detected at its steering systems or driving motors which are disabled accordingly. The unified controller is also able to track and follow the target either moving forward in front or moving backward in the back of the vehicle making the real-time implementation of different tracking modes simple. Tracking stability is secured by the proper selection of design parameters. Simulations show the proposed control scheme works properly even in the presence of faults at several different parts.
A Li-Ion battery charger with stable charging mode controller in noise environments

In this paper, a novel architecture for charging mode controller of Li-Ion battery charger is proposed. It is design to generate stable control signals even when noise level reaches several tens of millivolts. The trickle current is as low as 200mA enabling longer life cycle for Li-Ion battery. The large current reaches 1A without any impact on trickle current offering a faster charging time for Li-Ion battery. Li-Ion battery charger is designed based on CMOS TSMC 0.13um technology and simulated by Cadence.
Compact tri-band bandpass filter based on short stubs and crossed open stubs

A compact tri-band bandpass filter (BPF) based on two short stubs and crossed open stubs is analyzed and designed in this letter. The crossed open stubs are used to replace the quarter-wavelength connection line of the conventional quarter-wavelength short stub bandpass filter (BPF), two transmission zeros can be controlled easily by appropriately adjusting the lengths and impedances of the crossed open stubs. Three passbands are designed to operate at 1.8 GHz, 3.5 GHz and 5.45 GHz, respectively. The passband can be tuned effectively by changing the locations of the transmission zeros created by the crossed open stubs. A tri-band bandpass filter is designed and fabricated for demonstration. Good agreement can be observed between the measured and simulated results, indicating the validity of the design strategies.
Cooperating transactions in a versioned database

EPOS (Expert system for PrOgram and System development) is a kernel software engineering environment, offering integrated software configuration management (CM) and process management. The EPOS process modelling (PM) support system runs on top of the versioned EPOS database (DB), operating in client-server mode. An extension of the EPOS PM is introduced for coping with cooperative, developing activities in an engineering environment. An EPOS DB transaction is connected to a change job or project activity (task). The cooperation model provides facilities for automatically or manually monitoring a set of evolving products, and negotiating to a protocol defining when/how changes will be both locally and globally propagated. The model also offers different policies for reconciliation of conflicting updates. The authors' cooperation model is built on top of versioned EPOS DB and regulated by EPOS PM. It indicates a good coupling of CM and PM for handling cooperation in a software development environment.<<ETX>>
A circularly polarized passive RFID tag on wall

This paper presents the design, measurement and results of a square-shaped microstrip antenna on wall for a passive RFID tag compliant to EPC Global Class 1-Gen2. The tag antenna operates at the European Ultra-High Frequency (UHF) band and is excited by a dual inset feed network to achieve Circular Polarization (CP). The antenna size is reduced as well as the CP bandwidth is extended by inserting a cross slot at the center of the square patch. The proposed tag is characterized in an anechoic chamber and is tested in the laboratory hallway using a commercial UHF RFID reader. In comparing our proposed tag to commercial RFID tags, the read-range of our tag is improved in both cases: tag in free space and tag on wall.
A Semi-supervised Learning Method for Vietnamese Part-of-Speech Tagging

This paper presents a semi-supervised learning method for Vietnamese part of speech tagging. We take into account two powerful tagging models including Conditional Random Fields (CRFs)and the Guided Online-Learning models (GLs) as base learning models. We then propose a semi-supervised learning tagging model for both CRFs and GLs methods. The main idea is to use of a word-cluster model as an associate source for enrich the feature space of discriminate learning models for both training and decoding processes. Experimental results on Vietnamese Tree-bank data (VTB) showed that the proposed method is effective. Our best model achieved accuracy of 94.10\% when tested on VTB, and 92.60\% an independent test.
A generalised fault protection structure for unigrounded low-voltage AC microgrids

This paper introduces uni-grounded low-voltage (LV) AC microgrid configurations. A generalised fault protection structure is proposed for all different uni-grounded LVAC microgrids. This protection structure consists of six individual protection zones in a uni-grounded LVAC microgrid. They are protection zones of distributed generators (DGs) and energy storage devices (ESSs), transformers, power converters, source branches, load branches, AC trunk lines and common buses. A variety of available fault protection methods are considered for each above protection zone of the uni-grounded AC microgrid. Primary and secondary protection schemes of each different protection zone are designed to ensure stable-reliable-adaptable-scalable operation of a uni-grounded LVAC MG. As a result, main contributions of the paper are: (i) definition of different uni-grounded LVAC microgrids; (ii) concept of a unified fault protection structure for uni-grounded MGs; and (iii) appropriate fault protection methods proposed for primary and secondary protection of uni-grounded MGs.
A wide frequency range and adjustable duty cycle CMOS ring voltage controlled oscillator

This paper presents a voltage controlled ring oscillator (VCO) with wide tuning range and adjustable duty cycle. The circuit was designed using Rohm 0.18µm technology with 1.5V supply voltage. The simulation results show that the VCO oscillates from 300Hz up to 1.4GHz, while the duty cycle can be adjusted 20–80% independently from the oscillating frequency.
A low phase noise frequency synthesizer for GPS RF receiver

In this paper, a low phase noise integer-N PLL has been implemented for GPS applications in a 0.13µm CMOS process. An integer-N PLL based frequency synthesizer is designed to generate differential local oscillator (LO) signals for down-converting the received GPS signals in L1 band to an intermediate frequency (IF) of 4.092MHz. For phase noise reduction, a robust structure of phase frequency detector and trimming LC VCO is proposed in this paper. The post-layout result achieves in-band phase noise of −95.4dBc/Hz@10kHz and out-band phase noise of −118.7dBc/Hz@1MHz. The receiver consumes 11.5-mW from a 1.2-V supply while the core of PLL occupying a 1.21-mm2 die area.
A heuristic converter placement scheme for wavelength-routed optical networks

In optical networks with sparse wavelength conversion, the optimal converter placement (OCP) problem is one of the most important considerations. In this paper, we propose a heuristic OCP algorithm, called the Optimized Utilization Placement (OUP), to determine proper numbers of converters that should be placed at selected nodes. Performances of the OUP are evaluated by simulations when fixed routing and fixed-alternate routing are used. The simulations justify that the OUP can significantly increase converter gains.
A method to improve the accuracy of synchronous control systems

This paper presents a method to improve the accuracy of synchronous control systems for dual linear stages driven by linear servomotors in order to quickly eliminate the velocity and position synchronous errors of the dual linear stages. Two velocity controllers and a synchronous controller are designed for the control system. To decrease the velocity tracking errors, two velocity controllers are designed to follow the velocity tracking commands which are also the desired velocity profiles specified by the given tasks and have optimized acceleration and deceleration characteristics. Moreover, the synchronous controller is designed to quickly and stably eliminate the position and velocity synchronous errors of the two dual linear stages by improving the damping characteristics of the synchronous control system. The experimental results are presented to demonstrate the effectiveness of the proposed synchronous control system.
A SINR-Based MAC Protocol for Wireless Ad Hoc Networks

In this paper, we propose a power control MAC protocol that improves the spatial reuse of wireless channels and the energy efficiency for the wireless nodes. The main idea is to adopt IEEE 802.11 Power Saving Mechanism (PSM) with the appropriate power control scheme for the wireless ad hoc networks. All control messages containing the transmission power information are transmitted at the maximum transmission power in the Announcement Traffic Indication Message (ATIM) window while the data packets are sent at the minimum required transmission power during the data window. Based on the sensing power or the transmission power information of the control messages, a neighbor node checks whether it can transmit simultaneously. Simulation results show the advantages of the proposed protocol in terms of the aggregate throughput, average delay, energy efficiency and fairness index.
Design and testing of an electron gun producing a segmented sheet beam for a quasi-optical gyrotron

A high-power sheet beam electron gun for a quasi-optical gyrotron has been developed. The gun produces two beams with rectangular cross sections, with one beam segmented into 11 beamlets. The beamlets are spaced so as to be in line with the maxima of the RF field profile in the resonator of a 120-GHz quasi-optical gyrotron. The maximum current in the segmented beam is nominally 34 A, while the unsegmented beam is 68 A. The gun has been tested, and it has operated essentially as predicted by 2-D and 3-D theory. In particular, the overall beam shape is largely undistorted, and the beamlets are, for most cases, well aligned.
An area-efficient multimode FFT circuit for IEEE 802.11 ax WLAN devices

Multi-mode fast Fourier Transform (FFT) circuits are essential in orthogonal frequency domain (OFDM) based systems which supports multiple bandwidth. Typically, hardware implementation employs a single FFT circuit for the highest supported bandwidth and using oversampling, the same FFT circuit is used to support lower bandwidth. For the new 802.11ax wireless local area network (WLAN) standard whose frame consists of the regular 3.2us length symbol as well as a longer 12.8us symbol, a fast switchable double-mode FFT circuit is required. In addition, the 802.11ax SIG-B symbol contains a maximum of two independent symbol streams that requires two FFT circuits for the 3.2us symbol length. Our proposed FFT architecture is optimized to support the 802.11ax standard with low latency, area and power requirements. FPGA implementation results show that our proposed circuit has efficiency 13.7% lower area compared to conventional architecture.