nils-herrmann/clean_scirepeval huggingface dataset:
A high performance circularly polarized feed array for satellite communication antennas

The authors present breadboard results of a C-band circularly polarized feed array which has developed as part of the proof of concept (POC) antenna for INTELSAT VII coverage requirements. The feed array consists of 12 cup-dipole radiating elements arranged in a triangular grid. Each element is fed with a 3-dB hybrid coupler (to general dual circular polarization) and a TEM-line beam-forming network. The feed array illuminates a solid offset reflector antenna with a projected circular aperture with a diameter of 82 in. and a focal length of 76 in. Measured results of the feed array demonstrate that an axial ratio of less than 0.3 dB has been achieved over a 10% bandwidth. It is also shown that the secondary patterns of the POC antenna are in good agreement with the computed contours.<<ETX>>
An analysis of the single moving dipole source for electrocardiography inverse problem

The electrocardiogram inverse problem is a non-linear and ill-posed problem for which it is very difficult to find an exact solution. In this paper, we presented an efficient and robust method to solve this problem. The heart activity is modeled by a single moving dipole and the human body is considered as finite volume conductor constructed based on an anatomic atlas. For solution method, finite element method is applied to the forward problem. The volume conductor is meshed into arbitrary triangular elements. The efficiency of the methods stems from the employment of genetic algorithm for minimization of difference between the measured potentials and the calculated potentials generated from a predicted dipole source. Finally, the algorithm is successfully tested with simulation model and used to estimate dipole source for real data obtained from 31 electrodes on body surface. As a result, the equivalent dipole always moves clockwise and its direction changes counterclockwise.
A Nonsymmetric Mixture Model for Unsupervised Image Segmentation

Finite mixture models with symmetric distribution have been widely used for many computer vision and pattern recognition problems. However, in many applications, the distribution of the data has a non-Gaussian and nonsymmetric form. This paper presents a new nonsymmetric mixture model for image segmentation. The advantage of our method is that it is simple, easy to implement, and intuitively appealing. In this paper, each label is modeled with multiple D-dimensional Student's t-distribution, which is heavily tailed and more robust than Gaussian distribution. Expectation-maximization algorithm is adopted to estimate model parameters and to maximize the lower bound on the data log-likelihood from observations. Numerical experiments on various data types are conducted. The performance of the proposed model is compared with that of other mixture models, demonstrating the robustness, accuracy, and effectiveness of our method.
BB84 Implementation and Computer Reality

Quantum Key Distribution (QKD) principles and software implementations are now well-known. Focussing on CASCADE algorithm, a major step of the key distillation algorithm (BB84), we show that the mathematical optimality may not mean practical efficiency because of the design of computers and their processors. As pointed out by John Backus , the father of FORTRAN, most of the work of the processor of a Von Neumann computer is dedicated to transfer to and from memory and the computer bus appears as a bottleneck. Thus, it is preferable to repeat simple computations than to randomly access the memory. This will impact the design of the permutations required by CASCADE. Moreover, computers are designed to work with bytes, not with bits. This will imply a reparametrization of CASCACDE different from the mathematically optimal parametrization.
A New Approach to Identify Fingerprint Using Support Vector Machine

Fingerprint identification is an important biometric technique which has been used and studied a lot in the past. The most popular traditional approach for identifying fingerprint basing on extracting minutiae and then matching them together to authenticate has some limitations in practice. For a considerable fraction of population, it is very difficult to automatically extract minutiae in a noise image. Further, minutiae-based matching has difficulties in quickly matching two fingerprint images. So, a new approach to overcome these limitations for automatically identifying fingerprint is necessary. In this paper, we describe a new method to identify fingerprint by combining an extreme classifying method, support vector machine, and filter bank-based technique. This approach is a learning method whose identifying time is so fast while training time is acceptable
A game theoretical approach for transmission strategies in slotted ALOHA networks with multi-packet reception

In this paper we consider finite-size slotted ALOHA sensor networks with multiple packet reception capability and selfish sensors. Each sensor wishes to maximize its individual expected reward. We exploit decentralized channel state information (CSI) to obtain transmission policies that are optimal for each sensor The problem is formulated as a finite player finite action, non-cooperative stochastic game where each sensor is a selfish but rational player We prove for the first time that under the signal to interference noise ratio (SINR) threshold reception model the optimal transmission policy for each player belongs to the class of threshold policies. As a result, there exists a Nash equilibrium at which all players adopt pure strategies. The optimality of threshold policies greatly simplifies the estimation of optimal transmission schemes. We present a provably convergent algorithm for finding the threshold for each sensor and illustrate its performance via numerical examples.
Design of touch-sensitive surface with arbitrary shape based on time-domain reflectometry using injket printing

Touch sensors are one of the most fundamental input devices of many different applications these days. However, most dominant 2D touch sensing technologies are based on a grid of connections and sensors, which are thick and cumbersome. Thus flexibility and form factor do matter. In this paper, we propose an algorithm to design a flexible two-dimensional touch-sensitive surface using inkjet printing technology. Due to its flexibility and conformability, it is possible to turn everyday objects and surfaces into touch sensors. Different from existing touch sensing technologies like resistive based and capacitive based sensing method, we detect touch motion using Time-domain Reflectometery (TDR), which is originally used to locate faulty in electric cable. An existing work on TDR based touch sensing method suggested implementing Hilbert space-filling curves' pattern to improve sensing accuracy in all directions. But pure Hilbert curves are restricted to only square shape with size of 2n unit length. In this paper, we tackled this problem by introducing an algorithm to automatically generate appropriate quasi-Hilbert Space-filling Curve (SFC) for any shape of surface. Our algorithm could fill any arbitrary surface with high coverage curve while retain advantages of Hilbert SFCs. We also utilize conductive inkjet printing with silver nanoparticle ink to rapidly prototype thin and flexible surfaces on paper substrate.
Applying Fast Planar Object Detection in Multimedia Augmentation for Products with Mobile Devices

Texts, images, audio and video clips about products are important information for customers in shopping. However customers cannot have such information as soon as they see the products in physical stores. The authors propose a Fast Planar Object Detection in Multimedia Augmentation for Products system using mobile devices to provide useful information for customers when they go shopping. The experimental results show the strength of our proposed system in processing and displaying multimedia information on users' mobile devices in real-time. The system can be used as a smart assistant for customers to get extra useful information about products and help them decide the best choice for their demands.
A Novel LMS-Based Calibration Scheme for Fractional-N Digital PLLs

In today's fractional-N phase-locked loops, digital-to-time converters are commonly used to cancel the quantization noise of the divider modulus, and a least-mean squares loop is used to adapt the gain of the cancellation path. Unfortunately, a trade-off exists between the time range needed to the digital-to-time converter and the speed of convergence of the calibration. In this paper, a novel scheme significantly relaxing this trade-off and allowing for a low-power implementation of both the digital-to-time converter and the calibration loop, is introduced. The effectiveness of the proposed concept is verified via behavioral simulations in the presence of circuits non-idealities, showing a reduction of at a least a factor of 5× in the settling time of the calibrated coefficient.
Building a treebank for Vietnamese dependency parsing

The problem of Vietnamese syntactic parsing, especially constituency parsing, has recently been tackled by several research groups. A common effort of the Vietnamese language processing community has allowed the creation of VietTreebank, a reference parsed corpus containing about 10,000 sentences for the constituency parsing task. In this paper, we present our work to build a reference treebank, based on VietTreebank, for the dependency parsing task, which has not yet been very well studied for Vietnamese. First we define a dependency label set by adapting the dependency schema developed by the NLP group at Stanford university and taking into account the particularities of Vietnamese grammar. Then we propose an algorithm to convert a constituency treebank to a dependency one. The algorithm is tested on a set of 100 sentences of VietTreebank corpus and gives very good results. Finally, we carry out an experiment on Vietnamese dependency parsing using MaltParser tool and the dependency treebank converted from VietTreebank.
Correct and Efficient Bounded FIFO Queues

Bounded single-producer single-consumer FIFO queues are one of the simplest concurrent data-structure, and they do not require more than sequential consistency for correct operation. Still, sequential consistency is an unrealistic hypothesis on shared-memory multiprocessors, and enforcing it through memory barriers induces significant performance and energy overhead. This paper revisits the optimization and correctness proof of bounded FIFO queues in the context of weak memory consistency, building upon the recent axiomatic formalization of the C11 memory model. We validate the portability and performance of our proven implementation over 3 processor architectures with diverse hardware memory models, including ARM and PowerPC. Comparison with state-of-the-art implementations demonstrate consistent improvements for a wide range of buffer and batch sizes.
Deployment of wavelet transform to VOP codec scheme

The work explains the way we deploy the wavelet transform in the object-based video codec scheme proposed in our previous research (see Tran, S.M. et al.,  2001). Video objects are first extracted from a conventional frame-based video sequence. By representing the video objects of interest with the so-called constrained Delaunay mesh structures, we could transmit their shapes and patterns in an efficient way: mesh-nodes are tracked forward to reconstruct their new position and therefore their shape at the latter time point; the pattern of the mesh is predicted from the dense field of backward motion vectors, then they are compensated with residual errors for a "perfect" reconstruction. In the current work, the wavelet transform is applied to encode residual errors, the most bit-consuming information. Thanks to the multiresolution character of the wavelet transform, which leads to superior energy compaction and perceptual quality of the decompressed residual errors, the method surpasses the compression offered by the block-DCT in the initial phase. The overall performance of the full scheme is encouraging.
A proposal of new service mediator model based on service dominant logic

In the past, people usually did business based on Goods — Dominant Logic perspective. However, recently both academic areas and business focus on researching and developing theories and concepts for service science according to the growth of service activities in modern economies. One alternative foundation is Service Dominant Logic (S-D Logic) which shifts focus from goods manufacturing to service provision. We propose a new service mediator model for creating better "value-in-use" for both firms and customers based on SDL, which provides collaboration mechanism between 3 layers. The effectiveness of the proposed model is demonstrated though analysis of successful information service business. We believe this service mediator model will bring the triple win concept that satisfies all players by better value co-creation in the business.
A review on IoT healthcare monitoring applications and a vision for transforming sensor data into real-time clinical feedback

Ageing populations and the increase in chronic diseases all over the world demand efficient healthcare solutions for maintaining well-being of people. One strategy that has drawn significant research attention is a focus on remote health monitoring systems based on Internet of Things (IoT) technology. This concept can help decrease pressure on hospital systems and healthcare providers, reduce healthcare costs, and improve homecare especially for patients with chronic diseases and the elderly. This paper explores the use of IoT-based applications in medical field and proposes an IoT Tiered Architecture (IoTTA) towards an approach for transforming sensor data into real-time clinical feedback. This approach considers a range of aspects including sensing, sending, processing, storing, and mining and learning. Using this approach will help to develop useful and effective solutions for pursuing systems development in IoT healthcare applications. The result of the review found that the growth of IoT applications for healthcare is in areas of self-care, data mining, and machine learning.
Attitude observers for accelerated rigid bodies based on GPS and INS measurements

An advanced attitude observer for rigid bodies evolving in 3D-space using GPS-velocity and INS measurements has been proposed recently in the literature without specifying its domain of convergence and stability. With respect to conventional solutions, which do not involve linear velocity measurements, this observer is better adapted for vehicles subjected to important linear accelerations. The present paper proposes further modifications yielding two other attitude observers for which we are able to establish rigorous semi-global convergence and stability results. Simulation results illustrate the compared performance of the three solutions, and of the classical method.
A Class of Quasi-Switched Boost Inverters

A switched boost inverter (SBI) can replace a Z-source inverter (ZSI) in low-power applications because it has one less LC pair than the ZSI. This paper presents a class of quasi-SBIs (qSBIs) that offers several advantages when compared with a conventional SBI, including reducing the voltage stress on the capacitor, increasing the boost voltage factor, and improving input current profiles. Operating principles, steady-state analysis, and comparisons with conventional inverters are presented. A prototype based on a TMS320F28335 digital signal processor is built to verify the operating principle of the proposed qSBIs.
A Distributed Intrusion Detection System for AODV

An ad hoc network is the cooperative engagement of a collection of mobile nodes without the required intervention of any centralized access point or existing infrastructure. Ad hoc networks generally use a wireless radio communication channel. So they are vulnerable to many attacks. In this paper, we have developed an distributed intrusion detection system (IDS) based on the model presented by Yonguang Zhang and Wenke Lee (2000) to protect against some of attacks in AODV such as denial of service, sequence number modification. We have implemented IDS agents to detect the intrusions without changing the normal activities of AODV protocol. Moreover our solution does not use any cryptographic algorithms. Therefore it requires minimum processing overhead. We have modified normal AODV in network simulator (ns2) to evaluate our solution
Accelerated parallel magnetic resonance imaging with multi-channel chaotic compressed sensing

Fast acquisition in magnetic resonance imaging (MRI) is considered in this paper. Often, fast acquisition is achieved using parallel imaging (pMRI) techniques. It has been shown recently that the combination of pMRI and compressed sensing (CS), which enables exact reconstruction of sparse or compressible signals from a small number of random measurements, can accelerate the speed of MRI acquisition because the number of measurements are much smaller than that by pMRI per se. Also recently in CS, chaos filters were designed to obtain chaotic measurements. This chaotic CS approach potentially offers simpler hardware implementation. In this paper, we combine chaotic CS and pMRI. However, instead of using chaos filters, the measurements are obtained by chaotically undersampling the k-space. MRI image reconstruction is then performed by using nonlinear conjugate gradient optimization. For pMRI, we use the well-known approach SENSE - sensitivity encoding -, which requires an estimation of the sensitivity maps. The performance of the proposed method is analyzed using the point spread function, the transform point spread function, and the reconstruction error measure.
Building a Framework for Internet of Things and Cloud Computing

Internet of Things (IoT) is the concept of connecting multiple objects together in an Internet-based architecture. Applications built around this concept are constantly growing in variety and quantity. Technologies in IoT have been evolving rapidly and the alternatives also have increased quickly. As a result, it becomes challenging to conduct system and software trade-off analysis or select suitable IoT technologies for applications. The paper emphasizes variability management (consisting of alternative technologies) and aims to provide a framework as a result, which would allow or facilitate users to create their own IoT applications. In order to achieve this goal, we have adopted the idea of software product line engineering (SPLE) and created a framework with a layered architecture consisting of a Cloud Layer, a Central Hub Layer, and an End Devices Layer. The layers are loosely coupled with well-defined interfaces allowing for variability to be added at each layer. We were successfully able to create a framework which allows users to build their own applications, only being limited by the devices supported by the framework.
A new on-line approach for determining conducting angles in a multilevel cascaded inverter

An on-line approach for calculating of conducting angles for a multilevel cascaded inverter is presented. The proposed method is a combination of equal voltage-second area and superposition principles. The conducting angle for each voltage level can be determined so that the fundamental component of the output voltage waveform of each H-bridge inverter unit musts accord with each voltage-second area of the reference voltage waveform. This approach can be suitable for calculating of switching angles for any level of multilevel inverter, particularly in case of unequal DC sources. To demonstrate the validity of the proposed method, a simulation study has been done using Matlab/Simulink.
A finite state machine and walking control algorithm of the biped robot with flat foot

This paper presents the control strategy for 7-link biped consisting of an underactuated floating trunk, rigid legs, and flat feet. This proposed control enables a biped to perform stable walking without using any pre-designed trajectories. We consider the force direction control in Biped Trunk Spring Loaded Inverted Pendulum (BTSLIP) from our previous study, which shows the stable behavior in walking motion. Then, we aim to inherit the advantage of force direction control related to the BTSLIP. Herein, we add two virtual springs from hip to each foot then map simple virtual model to the real robot joints torque. Furthermore, the control of ankles will adapt with different walking phase by following finite state machine. The dynamical simulation under random initial state validates the stabilizing the floating trunk and maintaining of the robot model equipped with the proposed controller.
Adaptive Sampling Algorithm for Macromodeling of Parameterized $S$ -Parameter Responses

This paper presents a new adaptive sampling strategy for the parametric macromodeling of -parameter-based frequency responses. It can be linked directly with the simulator to determine up front a sparse set of data samples that characterize the design space. This approach limits the overall simulation and macromodeling time. The resulting sample distribution can be fed into any kind of macromodeling technique, provided that it can deal with scattered data. The effectiveness of the approach is illustrated by a parameterized H-shaped microwave example.
An editable live ETL system for Ambient Intelligence environments

This paper describes early studies and results about the design of a system for supporting domain experts in managing data streams coming from a set of sensors and services at the base of ambient intelligence (AmI) environments. Domain experts can use the proposed system to creatively elaborate their needs and ideas about the type of data-flow to be generated for monitoring emergency situations and combining physical and social sensors. Moreover, they can conduct different analysis by considering their contextual information (space, time, thematic).
An Orthogonal Resource Allocation Algorithm to Improve the Performance of OFDMA-Based Cellular Wireless Systems Using Relays

For the next generation wireless communication systems, inter-cell interference (ICI) is the main source of performance degradation in mobile stations, especially, cell-edge mobile stations. This paper presents a novel orthogonal resource allocation algorithm (ORAA) for our proposed system architecture, termed the OFDMA-based cellular wireless system architecture using relays (OCWSAR). By using relays to cover the cell-edge areas and a robust algorithm with priority resource allocation, the ICI of the system is significantly reduced, while the sector frequency reuse factor is maintained at 1. A system-level simulator is developed in a multi-cell/multi-user environment, where the effect of the proposed ORAA can be evaluated precisely in the presence of inter-cell interference (ICI). Furthermore, the simulation results assure that the new system architecture with the associated algorithm yield higher SINR and data throughput for cell-edge users.
Design of an Directive Antenna for “Free-Flow” system application

One of the most used systems in the toll domain is Dedicated Short Range Communication (DSRC) systems  where antenna is the most important part. It assures essentially the performance of wireless communication systems. Depending on each application, the directivity of the antenna is different. The higher antenna directivity is, the more effective system is. That is why there are increasing demands for designing this kind of antenna. This paper presents a new structure of antenna with high gain to improve the ability of DSRC system for the transportation system applications. The deal of the new antenna is to use a metamaterial layer under a planar antenna. Our great success is a perfect agreement between the real measured and simulated results with 16dBi of directivity.