nils-herrmann/clean_scirepeval huggingface dataset:
A Unified Stochastic Model of Handover Measurement in Mobile Networks

Handover measurement is responsible for finding a handover target and directly decides the performance of mobility management. It is governed by a complex combination of parameters dealing with multicell scenarios and system dynamics. A network design has to offer an appropriate handover measurement procedure in such a multiconstraint problem. This paper proposes a unified framework for the network analysis and optimization. The exposition focuses on the stochastic modeling and addresses its key probabilistic events, namely: suitable handover target found; service failure; handover measurement triggering; and handover measurement withdrawal. We derive their closed-form expressions and provide a generalized setup for the analysis of handover measurement failure and target cell quality by the best signal quality and level crossing properties. Finally, we show its application and effectiveness in today's 3GPP-LTE cellular networks.
An Energy Efficient Multi-channel MAC Protocol for wireless ad hoc networks

The IEEE 802.11  provides multiple channels for wireless communications at the Physical Layer, but the Medium Access Control (MAC) protocol is only designed for a single channel. If the multiple channels can be exploited by multi-channel MAC protocol, there can be multiple transmissions on different channels. Besides that, the power control algorithm can improve the spatial reuse of wireless channels. In this paper, we combine the multi-channel MAC protocol and the power control algorithm together to exploit multiple channels and improve frequency reuse. The main idea of our proposal is to use IEEE 802.11 Power Saving Scheme (PSM) with different transmission power levels in the ATIM window and the data window. All nodes transmit ATIM/ATIM-ACK/ATIM-RES messages with the maximum power while contending the data channel during the ATIM window, and use the minimum required transmission power in the data window on their negotiated channels. The simulation results show that the proposed E-MMAC improve the performance of the network: aggregate throughput, average delay and energy efficiency.
A 768 Megapixels/sec inverse transform with hybrid architecture for multi-standard decoder

This article introduces a fast hybrid architecture to perform the inverse transform for multiple standards including H.264/AVC, VC-1, MPEG-4, MPEG-2, H.263, and AVS. Both separated and common circuits are used in the hybrid architecture to get high throughput (768 Mpixel/sec for 8-point IDCT and 1536 Mpixel/sec for 4-point IDCT) while keep the area acceptable for many supported standards (56,989 logic gates @ 384 MHz). This hybrid architecture is also very expandable for future codec implementation. The design is described at RTL and synthesized using 130 nm cell library.
1 MW, 140 GHz, CW gyrotron for Wendelstein 7-X

A continuous wave, 1 MW, 140 GHz gyrotron oscillator has been designed and constructed as a joint collaboration between FZK Karlsruhe, CRPP Lausanne, IPF Stuttgart, CEA Cadarache and TTE Velizy for the 10 MW ECRH system of the new stellarator plasma physics experiment, Wendelstein 7-X, at IPP Greifswald, Germany. The tube is equipped with a diode MIG gun, an improved beam tunnel, a high-mode purity low-ohmic loss cavity, an optimized nonlinear up-taper, a highly efficient internal quasioptical mode converter, a single stage depressed collector for energy recovery and a large-aperture, edge-cooled, single disk CVD-diamond window and will be operated in the TE/sub 28.8/ mode. The gyrotron design and the teststand at the Forschungszentrum Karlsruhe are described; first experimental results for short pulse operation are presented.
Bounded Asymmetrical Student's-t Mixture Model

The finite mixture model based on the Student's-t distribution, which is heavily tailed and more robust than the Gaussian mixture model (GMM), is a flexible and powerful tool to address many computer vision and pattern recognition problems. However, the Student's-t distribution is unbounded and symmetrical around its mean. In many applications, the observed data are digitalized and have bounded support. The distribution of the observed data usually has an asymmetric form. A new finite bounded asymmetrical Student's-t mixture model (BASMM), which includes the GMM and the Student's-t mixture model (SMM) as special cases, is presented in this paper. We propose an extension of the Student's-t distribution in this paper. This new distribution is sufficiently flexible to fit different shapes of observed data, such as non-Gaussian, nonsymmetric, and bounded support data. Another advantage of the proposed model is that each of its components can model the observed data with different bounded support regions. In order to estimate the model parameters, previous models represent the Student's-t distributions as an infinite mixture of scaled Gaussians. We propose an alternate approach in order to minimize the higher bound on the data negative log-likelihood function, and directly deal with the Student's-t distribution. As an application, our method has been applied to image segmentation with promising results.
Computational model for automatic cargo container inspection systems

A US law mandating non-intrusive imaging and radiation detection by 2012 for 100% of US-bound containers at international ports has provoked widespread concern that the resulting congestion would hinder trade significantly. To address this issue, we present as a viable alternative an advanced computational model to implement computer automation for dual-energy X-ray imaging technique to detect and recognize nuclear and radiological material smuggled in cargo containers. Successful computer automation enables the dual-energy X-ray imaging technique to efficiently sense and recognize radiological and/or nuclear materials, especially shielded Highly Enriched Uranium (HEU), with high detection accuracy, a low positive-false-alarm rate, and negligible impact on freight movement. Thus, dual-energy X-ray inspection can feasibly be used to efficiently inspect 100% of cargo containers entering the US.
Design and performance of wideband, low-noise, millimeter-wave amplifiers for Microwave Anisotropy Probe radiometers

Differential pseudo-correlation radiometers covering 20-25 GHz, 28-37 GHz, 35-46 GHz, 53-69 GHz and 82-106 GHz are used in the Microwave Anisotropy Probe (MAP) mission to be launched in late 2000. This paper describes the design, performance and manufacturing of 140 InP HFET amplifiers suitable for cryogenic cooling which exhibit low noise performance and complex gain match over the given radiometer bandwidths (typical noise temperature of 90 K, or 1.2 dB noise figure, for W-band amplifier at 80 K ambient).
A Cross-Checking Based Method for Fraudulent Detection on E-Commercial Crawling Data

Marketing research through collecting data from e-commercial websites comes with latent risks of receiving inaccurate data which have been modified before they are returned, especially when the crawling processes are conducted by other service providers. The risk of data being modified is often dismissed in related research works of web crawling systems. Avoiding this problem requires an examination phase where the data are collected for the second time for comparisons. However, the cost for re-crawling processes to simply examine all the data is significant as it will double the original cost. In this paper, we introduce an efficient approach to choose potential data which are most likely to have been modified for later re-crawling processes. By this approach, we can reduce the cost for examining, but still guarantee the data achieve their authenticity. We then measure the efficiency of our scheme while testing the ability to detect fraudulent data in a dataset containing simulated modified data. Results show that our scheme can reduce considerably the amount of data to be re-crawled but still cover most of the fraudulent data. As an example, by applying our scheme to select the data to be re-crawled from a real-world e-commercial website, with a set in which fraudulent data occupy 50 percentages, we only need to re-collect 50 percentages of total data to detect up to 80 percentages of fraudulent data, which is clearly more efficient than choosing randomly the same amount of data to be re-crawled. We conclude by discussing the accuracy measurement of the proposed model.
A hybrid observer for a class of DC-DC power converters

This paper presents a new observer for a class of DC-DC power converters based on a hybrid system approach. The considered class of switched systems contains two modes. Interestingly, the observability of each mode is not required. An original observer is designed to estimate the state over all modes by using available information provided by current and previous observable states. We show that the stability of the observer is guaranteed independently of the switching sequence. An application to a Single-Ended Primary Inductor Converter (SEPIC) is presented in simulation.
2.7 Mb/s With a 93-kHz White Organic Light Emitting Diode and Real Time ANN Equalizer

This letter presents new experimental results on a 2.7-Mb/s organic light emitting diode (OLED) based visible light communications (VLCs) system. We also demonstrate for the first time an online artificial neural network for any VLC system (including inorganics). The major mitigating factors for OLED-VLC systems are the baseline wander phenomenon causing threshold detection to fail and bandwidth limitation caused by low transport mobility, introducing inter-symbol interference into the link and thus the requirement for an equalizer. The online filtering is implemented using the TI TMS320C6713 DSP board and compared with offline results.
Bilateral haptic teleoperation of VTOL UAVs

This paper presents an intuitive teleoperation scheme to safely operate a wide range of VTOL UAVs by an untrained user in a cluttered environment. This scheme includes a novel force-feedback algorithm that enables the user to feel the texture of the environment. In addition, a novel mapping function is introduced to teleoperate the UAV in an unlimited workspace in position control mode with a joystick which has a limited workspace. An obstacle avoidance strategy is designed to autonomously modify the position set point of the UAV independently of the pilot's commands. The stability analysis of the whole teleoperation loop is provided. Experiments demonstrate the successful teleoperation of a UAV using an haptic joystick and a hexacopter UAV equipped with a 2D laser-range scanner.
Content-based mesh generation algorithm

The work presents an alternative method for encoding shape-information of video objects, which is a new requirement in the recent evolution of video codec scheme: compressing and transmitting object-based video streams. The proposed method takes the advantage of the latest development in video encoding - motion compensation on the base of mesh presentation of frame -to complete its target. The content-based mesh is deployed to represent video objects, which are detected by a previous video object detector (in a consistent case of scene, detection can simply be a segmenting phase of video frame) or from the whole frame. This special mesh structure constructs the base for successive motion compensation based on mesh-vertices. With content-based mesh, shape information of objects is represented by polygons, therefore it is lossy. Increasing the number of boundary vertices at the cost of bandwidth can alleviate the problem. Integrating the proposed method into a full VOP codec scheme is our perspective.
Depth Video Enhancement Based on Weighted Mode Filtering

This paper presents a novel approach for depth video enhancement. Given a high-resolution color video and its corresponding low-quality depth video, we improve the quality of the depth video by increasing its resolution and suppressing noise. For that, a weighted mode filtering method is proposed based on a joint histogram. When the histogram is generated, the weight based on color similarity between reference and neighboring pixels on the color image is computed and then used for counting each bin on the joint histogram of the depth map. A final solution is determined by seeking a global mode on the histogram. We show that the proposed method provides the optimal solution with respect to L1 norm minimization. For temporally consistent estimate on depth video, we extend this method into temporally neighboring frames. Simple optical flow estimation and patch similarity measure are used for obtaining the high-quality depth video in an efficient manner. Experimental results show that the proposed method has outstanding performance and is very efficient, compared with existing methods. We also show that the temporally consistent enhancement of depth video addresses a flickering problem and improves the accuracy of depth video.
A New Hybrid GA-Bees Algorithm for a Real-world University Timetabling Problem

University course timetabling problems are well-studies combinatorial optimization problems. In this paper, we present a new hybrid GA - Bees algorithm for solving a real-world university timetabling problem in Vietnam. This hybrid method approach is tested and compared with previous works. The result obtained confirm that our appoach is able to produce better high quality solutions to the university course timetabling problem.
A trajectory tracking control design for a skid-steering mobile robot by adapting its desired instantaneous center of rotation

A skid-steering mobile robot steers by creating a moment that is larger than the frictional moment which results in a lateral slippage also known as skidding. This moment is in turn generated by a difference of the forces originated from the two sides of the robot. Tracking a given trajectory using this type of steering mechanism is not easy since it requires to relate skidding to steering. A necessary condition for the stability of skid-steering mobile robots is that the longitudinal component of the instantaneous center of rotation (ICR) resides within the robot dimension. In the present work, we propose a novel trajectory-tracking control design using a backstepping technique that guarantees the Lyapunov stability and that satisfies this necessary condition by relating the longitudinal component of the “desired ICR” to the curvature of a given trajectory and the reference linear speed. Finally, we compare the performance of the proposed controller to that of other existing controllers for skid-steering mobile robots and show the robustness of the proposed controller even in the presence of modeled sensory noise and control time delay in simulation.
An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation

A system that can perform multitasking including face Detection, pose Estimation and landmark Localisation (named DEL) is a core in many face recognition-based applications. Additionally, a wide range of applications that usually require machines to understand human face expressions can be obtained such us autonomous vehicles, patient observation or human-computer interaction (HCI). Typically, a DEL system is built by assembling three separate modules (face detection, pose estimation and landmark localisation) and performs them in succession. However, a recent approach of integrating three tasks into a single module shows a significant increase in performance. The main drawback of this approach is too time-consuming because of dozens of cross-correlation operations. In this paper, we propose an Efficient DEL (EDEL) model which is based on the integrated approach but more efficient. The key idea is to transform cross-correlations into matrix operations and apply matrix techniques to speed up the system. The experimental results on the AFW database reveal that the proposed model can perform 3 times faster in cross correlation time than the state-of-the-art integrated DELs but still remains the same level of accuracy.
Bi-directional RPROB-based Location Anonymizer System for Location-Based Services

We propose RBLA2, a Bi-directional RPROB-based Location Anonymizer system for location-based services. Our proposed system provides location privacy not only when users are forwarding requests to location-based services but also when these services deliver messages to the users using two similarly structured components that are based on a RPROB framework and global dummy generation. The system overcomes the imprecision of the query result and any inefficiencies due to a large number of candidates in the query result of the existing obfuscation or spatial cloaking techniques. Our system can guarantee the probabilistic-real-time property to deliver any request or response message within a maximum delay with a high probability using dummy generation. Our analysis and evaluation has shown that the system can guarantee location privacy for users against a global active adversary while providing low latency, which is an essential requirement in location-based services but cannot be satisfied when using general-purpose mix-net systems. Furthermore, the system also provides every user with the flexibility to define and update his/her own location privacy map.
Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs

In this work, we show that using the eigen-decomposition of the adjacency matrix, we can consistently estimate latent positions for random dot product graphs provided the latent positions are i.i.d. from some distribution. If class labels are observed for a number of vertices tending to infinity, then we show that the remaining vertices can be classified with error converging to Bayes optimal using the $(k)$-nearest-neighbors classification rule. We evaluate the proposed methods on simulated data and a graph derived from .
A Stochastic Model for Video and its Information Rates

We propose a stochastic model for video and compute its information rates. The model has two sources of information representing ensembles of camera motion and visual scene data (i.e. "realities"). The sources of information are combined generating a vector process that we study in detail. Both lossless and lossy information rates are derived. The model is further extended to account for realities that change over time. We derive bounds on the lossless and lossy information rates for this dynamic reality model, stating conditions under which the bounds are tight. Experiments with synthetic sources suggest that in the presence of scene motion, simple hybrid coding using motion estimation with DPCM can be suboptimal relative to the true rate-distortion bound
A 1.45-W/mm, 30-GHz InP-channel power HEMT

The authors report the fabrication of the first AlInAs/InP power HEMT with a saturated power density of 1.45 W/mm, a maximum power-added efficiency of 24%, and a large signal gain of 6.2 dB at 30 GHz. The authors show that the estimated power performance of this device at the highest frequencies is better than for any three-terminal devices because the f/sub t/ of the power HEMT is high, even at high drain-source bias.<<ETX>>
A flexible direct delta-sigma receiver for GSM/WCDMA/LTE

Direct Delta-Sigma Receiver (DDSR) architecture has emerged as an attractive solution for flexible receivers. In this paper, a reconfigurable DDSR architecture for GSM/WCDMA/LTE standards is presented. A 4th-order DDSR with multi-bit quantizers and reconfigurable sampling frequency is adopted in the design. A maximum gain-control range of 18 dB is employed to respect the dynamic range specifications of the targeted standards. A noise figure of 2.5 dB and a -5 dBm out-of-band IIP3 (OOB-IIP3) are achieved in this design.
A comparison study for job recommendation

Job recommender is a system that automatically returns a ranked list of suitable, prospective jobs for employees. It plays a significant role in connecting employees and employers. In order to choose a suitable algorithm to build the system, a comparison study of popular recommendation methods is conducted and reported in this paper. The experimental data crawled from vietnamworks.com, itviec.com and careerlink.vn. A subset includes 7623 jobs extracted for running experiment. There are totally 59 users who have joint in rating jobs as well as giving feedback to measure performance of different methods. The experimental results demonstrated that content based approach is outperform than other tradictional ones.
Coordination control of active crowbar for doubly fed induction generators

The paper analyzes the capability of a wind power plant, based on doubly-fed induction generators (DFIGs) with an improved control system, to fulfill low voltage ride-through (LVRT) capability of the wind turbines providing the reactive power support. According to grid code requirements, tripping of wind generators under grid faults is not allowed. The sensitivity of DFIGs to grid faults requires the use of crowbar protection for not damaging the electronic equipment. In this paper, the model of a wind power plant based on DFIG using active crowbar protection is developed in Matlab/Simulink. Nevertheless, the results indicate that DFIGs equipped with crowbar protection can protect the electronic equipment, but the rotor side converter is blocked due to crowbar activation and the reactive power control is lost. Therefore, for improving the LVRT, a coordinated control system of the grid side converter, active crowbar protection, and rotor side converter is implemented and proposed, The grid side converter of DFIG is controlled similar to a STATCOM, considering also the control parameters of the crowbar protection. The simulation results show that the proposed coordinated control grid side converter'active crowbar-rotor side converter can supply the reactive power in order to answer the grid codes requirement for LVRT. Therefore, this control system can be useful to improve the LVRT capability of wind power plants based on DFIG.
Design a log periodic fractal Koch microstrip antenna for S band and C band applications

In this paper, a new microstrip antenna is proposed for wireless applications on S and C bands. A log-periodic fractal Koch structure is selected to research. A new antenna is designed and simulated before optimizing. The results achieve the purpose of increasing the bandwidth and reducing the size of the antenna. The antenna also has high gain and is fabricated on the Duroid RO4700JXR substrate instead of FR4-epoxy as a lot of other designs.
Crypt(BM)_64A - a new cipher oriented to Wireless Sensor Networks

This article proposed a new cipher - Crypt(BM)_64A. This cipher was developed on the basis of Controlled Substitution Permutation Networks (CSPNs) oriented to applications in Wireless Sensor Networks (WSNs). Crypt(BM)_64A was proved to be secure according to NESSIE test and differential characteristic in order to prevent differential cryptanalysis. The proposed cipher was also implemented in FPGA for the technological parameter comparison with some commonly used ciphers.
An approach for controlling the communication signal flow in three-mobile robot system based on wireless communication

With the development of cooperative robotic applications, variable kinds of communication method between robots are applied. The quality of communication has directly affect to the movement of each mobile robot in system. This paper proposes an approach to control the communication between 3 mobile robots by using wireless communication. In this paper, we focus on three main parts. In the first part, the brief introduction about multi-mobile robot system and communication will be discussed. The next part is about detail information of hardware specialization and kinematics module. Finally, the third part will describe the architecture of communication system based on Transmission Control Protocol (TCP)/ Internet Protocol (IP) algorithm for server - client, which is developed by socket programming, and also the approach to control the signal flow of the system which consisted of 3 mobile robots.