nils-herrmann/clean_scirepeval huggingface dataset:
Chemical plume detection in hyperspectral imagery via joint sparse representation

In this paper, we propose a new spatial-temporal joint sparsity method for the identification and detection of chemical plume in hyperspectral imagery. The proposed algorithm relies on two key observations: 1. each hyperspectral pixel can be approximately represented by a sparse linear combination of the training samples; and 2. neighborhood pixels from the same hyperspectral image as well as consecutive hyperspectral frames usually have similar spectral characteristics. By grouping these pixels into a joint group structure and forcing them to have the same sparsity support of the training samples, we effectively exclude the correlation of not only spatial but also time domain of the HSI data. Before the presence of this paper, almost no methods have made use of the temporal information for the detection of chemical plume in hyperspectral video data. Furthermore, the proposed method shows very competitive results with the Adaptive Matched Subspace Detector (AMSD) algorithm where the chemical types are predefined.
Contextual Grouping: Discovering Real-Life Interaction Types from Longitudinal Bluetooth Data

By exploiting built-in sensors, mobile smart phone have become attractive options for large-scale sensing of human behavior as well as social interaction. In this paper, we present a new probabilistic model to analyze longitudinal dynamic social networks created by the physical proximity of people sensed continuously by the phone Bluetooth sensors. A new probabilistic model is proposed in order to jointly infer emergent grouping modes of the community together with their temporal context. We present experimental results on a Bluetooth proximity network sensed with mobile smart-phones over 9 months of continuous real-life, and show the effectiveness of our method.
Design of compact EBG structure for array antenna application

In this paper, a compact electromagnetic bandgap (EBG) structure is presented. In order to achieve the size reduction, additional equivalent capacitance and equivalent inductance are produced in three design steps. The total capacitance and inductance of the proposed structure will be increased much more than the one of the mushroom-like EBG in the literature. Dispersion diagram is presented to show the bandgap characteristics. The comparison between the proposed EBG structure and different EBG structures are carried out. The proposed EBG structure exhibit a tremendous size reduction of 61%. With the aim of reducing the mutual coupling of the array patch antenna, a 2×7 EBG cells are inserted between two elements of an array antenna operating at 5.1 GHz. As the measured results, the mutual coupling has been reduced 20 dB than the one of array antenna without EBG structures.
A 45nm 3.5G Baseband-and-Multimedia Application Processor using Adaptive Body-Bias and Ultra-Low-Power Techniques

System on Chip (SoC) integration is the theme of the first integrated 3.5G baseband and multimedia applications processor fabricated using a low-power digital and analog design platform and 45nm process technology. This SoC supports mobile standards: HSUPA/HSDPA, WCDMA, EDGE/GPRS/GSM and applications such as MPEG-4 video streaming, Java and MP3 audio. The high- performance multimedia, multiprocessor engine includes an 840MHz ARM1176, a 480MHz TMS320C55x DSP, and a 240MHz image processor.
A 65-nm Mobile Multimedia Applications Processor with an Adaptive Power Management Scheme to Compensate for Variations

In this paper we present the SmartReflextrade power management techniques implemented on the OMAP3430 Mobile Multimedia Applications Processor. By using multiple voltage domains, fine grain power domains, split-rail memories, and adaptive compensation, SoC active power reduction of 66% and leakage power reduction of 2~3 orders of magnitude was achieved. OMAP3430 contains more than 150M transistors.
An individualized system for face ageing and facial expressions modeling based on 3D practical faces data

In this paper, we developed an automatic system for face ageing and facial expressions modeling using 3D practical faces data. As opposed to previous works, our face ageing system individualized the ageing function based on gender and age groups. Facial expressions are modeled by a muscle system which is improved by our new interpolated formula using characteristic parameters for the structure of each face. Our experiments which were performed on a practical training data set with 3D-face in neutral expression of each person at one age have shown that the effectiveness and efficiency of proposed methods in face ageing and face expressions modeling.
A dynamic continuous descent approach methodology for low noise and emission

Continuous Descent Approaches (CDAs) can significantly reduce fuel burn and noise impact by keeping arriving aircraft at their cruise altitude for longer than during conventional approaches(to descend as late as possible)and then having them make a continuous descent to the runway at near idle thrust with no level flight segments. The CDA procedures are fixed routes that are vertically optimized. With the changing traffic conditions and variable noise abatement rules the benefits of CDA operations are not yet fully realized. In this paper we propose a methodology to generate aircraft-specific dynamic CDA routes that are both laterally and vertically optimized on given objectives (noise, emission and fuel) from an Initial Approach Fix (IAF) to Final Approach Fix (FAF). The methodology utilizes real-time aircraft position and defined objectives to generate CDA routes which can then be converted into a set of artificial waypoints for continuous descent in transition airspace. The methodology involves discretizing the terminal airspace into concentric cylinders with artificial waypoints and uses enumeration and elimination (based on aircraft performance envelope) from one waypoint to other to identify all the possible routes. For each transition a variety of metrics including noise, emission and fuel burn are computed. From the resulting set of possible CDA routes, those routes are identified that represent the best trade-off on the given objectives. One of these routes is then used to dynamically update the flight route for executing the CDA procedure. For noise we used The Overall Sound Pressure Level (OPSL) and for emissions we used four pollutants HC, CO, CO2 and NOx. The dynamic CDA algorithm is implemented in a high-fidelity simulator ATOMS for Sydney Terminal Area with 34L as arrival runway for a Melbourne-Sydney flight (B737–400 aircraft, CFM56–3C–1 engines with a nominal weight of 58000 kg). The dynamic CDA routes are then compared on noise, emission and fuel burn with same flight conducting a typical CDA procedure (MANFA ONE Arrival) at the Sydney airport. The results shows that the methodology generates 64 possible solutions (dynamic CDA routes) from IAF to FAF in the transition airspace, of which 5 solutions were non-dominated. Dynamic CDA approach shows a reduction of 14.96% in noise, 11.6% reduction in NOx emission and 1.5% reduction in fuel burn when compared to a standard CDA trajectory. The paper also investigates the throughput capacity of transition airspace for multiple flights performing CDA operation. The methodology incorporates a delay algorithm which uses the flights' estimated time of arrival (ETA) at the IAF and then allocates them a conflict free CDA route by searching through available routes. The approach takes into account the aircraft category and corresponding time occupancy at each artificial waypoint of the proposed CDA routes and propagate delays back when conflict exists.
Control of a class of thrust-propelled underactuated vehicles and application to a VTOL drone

A control approach for a class of underactuated vehicles with the objective of stabilizing reference trajectories either in velocity or position is proposed. The basic modeling assumption is that the vehicle is propulsed via a thrust force along a single body-fixed direction and that it has full torque actuation for attitude control (i.e. a typical actuation structure for aircrafts, Vertical Take-Off and Landing (VTOL) vehicles, submarines, etc.). Additional assumptions on the external forces applied to the vehicle are also introduced for the sake of control design and stability analyses. They are best satisfied for vehicles whose shape induces lift forces with limited amplitude and which are subjected to an external force field (e.g. gravity), as in the case of VTOL vehicles. The interactions of the vehicle with the surrounding fluid are often difficult to model precisely and they may significantly perturb its motion. Some novel nonlinear feedback control laws are proposed to compensate for modeling errors and perform robustly against such perturbations. Simulation results illustrating these properties on a realistic model of a VTOL vehicle are reported.
Averaged state model and sliding mode observer for on/off solenoid valve pneumatic actuators

This paper presents an averaged model and nonlinear observer for an on/off pneumatic actuator. The actuator is composed of two chambers and four on/off solenoid valves. The proposed averaged model has the advantage of using only one continuous input instead of four binary inputs. Based on this new model, a sliding mode observer is designed using the piston position and the pressure measurements in one of the chambers in order to estimate the piston velocity and the pressure in the other chamber. The observation errors converge towards zero in finite time and the performance of this observer is validated in closed loop on an experimental benchmark.
AirScope: A Micro-Scale Urban Air Quality Management System

In this paper, we present a framework for micro-scale air quality monitoring and sensor management system. The developed system is validated in a preliminary test environment. The test result shows that it is feasible to adopt sensor networks for micro-scale monitoring. In the future, enhancements on the VR core modules will also be investigated such as enhanced interaction devices, mobile sensors, and display devices. Finally, we will also build web-based information portal to be used by citizens whenever the information is needed.
AFM study of surface topography of InP epilayers: effect of miscut angle and growth temperature during MOVPE

Our objective is the investigation of MOVPE growth mechanisms for InP. We focused on the surface topography observed by Atomic Force Microscopy (AFM). It is known that growth conditions such as thermal annealing, growth temperature or V/III ratio have a strong influence on growth mechanisms and surface topography. We present recent results on growth mechanisms on vicinal and highly misoriented InP surfaces studied by AFM.
A new FPGA implementation of four- switch three- phase inverter

This paper is concerned on FPGA design for control implementations of four switch three phase inverters (B4, FSTPI). This paper is to present a space vector PWM algorithm for four switch three phase inverters (B4, FSTPI) based on the one for six switch three phase inverters (B6, SSTPI) (principle of similarity) where the αβ plan is divided into 6 sectors and the formation of the required reference voltage space vector is done in the same way as for B6 by using effective (mean) vectors. An SVPWM technique has been developed using the ready-to-use field-programmable gate array (FPGA) technology. High speed, very large number of components, large number of supported protocols, and addition of ready-to-use intellectual property cores make programmable devices the preferred choice of implementation and even deployment mass production quantities of Power Electronics. Matlab/Simulink is used for the simulation of the proposed SVPWM algorithm. A Field Programmable Gate Array (FPGA) From Xilinx Inc-Spartan 3E was used at the main of the control electronics. The simulation and experimental results are demonstrated.
Design studies of the dual-frequency operation of the W7-X/140GHz/1MW gyrotron at 126GHz for TCV and 168GHz for ITER

A detailed study of the operational capabilities of the W7-X/1MW gyrotron operated at 126GHz/TE26,7 is presented. This study is associated with the foreseen upgrade of TCV in which it is planned to add to the present EC system 3MW of additional RF power bringing the total EC-power to 7.5MW. This study is extended to a possible operation of the gyrotron at the ITER relevant frequency of 168GHz in the TE35,9 mode without implementing any further modification neither in the gyrotron nor in the gyrotron superconducting magnet.
Complex asthma risk factor recognition from heterogeneous data streams

There are many studies regarding the relationships between environmental factors, particularly air pollution, and asthma exacerbation. Most of these studies ignore the potential confounding effects of a sequence of these factors with a specific time lag between them and asthma outbreaks. In this paper we present a new method for identifying consequential relations in the form of complex patterns between environmental factors and asthma attacks. Temporal structure and order relation between these data and their effect on asthma exacerbation comprise complex patterns called asthma risk factors. By extracting such patterns we create a risk prediction model that is important both for an asthmatic patient and public health. For experimental evaluations, we have collected pollution and meteorological data in Tokyo city and found 32 complex risk factor patterns that might result in asthma outbreaks. The experimental results show that extracted model has 71.15% precision.
A Solution to Apply Artificial Neural Network for Extracting Hidden Information from Vietnamese Document Image

Vietnamese is the national and official language in Vietnam. In the Vietnamese writing system, most of vowels have diacritical signs. With this special feature, secret information can be embedded into Vietnamese documents by slightly shifting up/down and left/right these signs. The embedded documents are nearly the same as the original ones, and so the reader could not find any differences by eyes. Secret information can be extracted for many purposes such as copyright protection, tampering detection, etc. However, extracting embedded information is a really complicated task. In this paper, we propose a solution to apply Artificial Neural Network (ANN) for effectively extracting hidden information from embedded Vietnamese documents.
A Cooperative — Efficient — Reliable MAC protocol for Vehicular Ad hoc Networks

Vehicular Ad hoc NETworks (VANETs), an important part of the Intelligent Transportation System (ITS), should provide the reliable safety message broadcasts and efficient non-safety message transmissions to vehicles. The IEEE 1609.4 MAC is designed for VANETs to support multi-channel operations, but it is neither reliable enough for the safety message broadcast nor efficient enough in the service channel (SCH) resources utilization. In this paper, we propose a Cooperative - Efficient - Reliable multi-channel MAC for VANETs, named CER-MAC, which supports both TDMA and CSMA schemes in accessing the control channel (CCH) and provides cooperation in broadcasting the safety messages. The CER-MAC allows vehicle nodes to send safety messages without collision on the CCH within their reserved time slots or the time slots permitted by the neighbors. Moreover, the CER-MAC utilizes the SCH resources during the control channel interval (CCHI) for the non-safety message transmissions. Compared to the current IEEE 1609.4, the proposed CER-MAC protocol outperforms in the reliability for the safety message broadcast and the efficiency for the service channel utilization.
An Automatic-Tuning Scheme Based on Fuzzy Logic for Active Power Filter in Wind Farms

This brief proposes a novel scheme based on fuzzy logic for automatically and appropriately adjusting the main control coefficient of a shunt active power filter (SAPF), which is used to efficiently regulate the voltage and current harmonic distortions in the grid with a large offshore wind farm connected. With the scheme, the SAPF can be operated in two different control modes based on the voltage detection method. In the first mode, the SAPF has an objective to control the total harmonic distortion (THD) of grid voltage at the point of common coupling (PCC). In the second mode, the SAPF can reduce the THD of both grid voltage and current at the PCC. In addition, a unique setting module is designed to suitably choose the output scaling factor of the proposed fuzzy logic controller in the scheme; this is to considerably enhance adaptability of the scheme. Limits for the actual current and the control coefficient of the SAPF are also utilized to ensure the safety in operation. Simulations demonstrate that the suggested scheme has good performance in automatically tuning the control coefficient of the SAPF to regulate the THD of grid voltage and current to acceptable values even under unexpected changes in configuration of the grid.
An airfare prediction model for developing markets

Air passengers (the buyers) are often looking for the best time period to purchase airfares to get as much saving as possible while airlines (the sellers) always try to maximize their revenues by revising different prices for the same service. The sellers have all the necessary information (for example historical sale, market demand, customer profile, and behavior) to make the decision whether to increase or decrease airfares at different times prior to the departure dates. On the other hand, the buyers are only able to access limited information to assist their decision making on whether to wait or purchase airfare right away. In this paper, we propose a new model that can help the buyer to predict the price trends without official information from the airlines. Our findings demonstrated that the proposed model can predict the trends as well as actual airfare's changes up to the departure dates using public airfare data available online despite the missing of many key features like the number of unsold seats on flights. We also identified the features that have the strongest impacts on the airfare changes.
A New Switching Technique for Direct Torque Control of Induction Motor using Four-Switch Three-Phase Inverter

This paper presents a new switching technique for direct torque control of induction motor using four-switch three phase inverter (DTC-FSTPI-IM) for low power applications. The modified switching table in this method is based on the principle of similarity between FSTPI and SSTPI (six-switch three phase inverter), where the alphabeta plan is divided into 6 sectors and the formation of the voltage space vector is done in the same way as for SSTPI by using effective (mean) vectors. This approach allows using the well-knowing established switching table of SSTPI for FSTPI, in order to reduce torque ripples in comparison with the conventional DTC method for FSTPI. The validity of new proposed technique is verified by simulation results using Matlab/Simulink and also experimentally by using DSpace 1104 Card.
An effective fuzzy clustering algorithm for image segmentation

Fuzzy c-means (FCM) with spatial constraints has been considered as an effective algorithm for image segmentation. In this paper, we propose a new algorithm to incorporate the local spatial information with the consideration of mean template. Our algorithm is fully free of the empirically predefined parameters that are used in other FCM methods to balance between robustness to noise and effectiveness of preserving the image sharpness and details. Furthermore, in our algorithm, the prior probability of an image pixel is influenced by the fuzzy memberships of pixels in its immediate neighborhood to incorporate the local spatial information and intensity information. Finally, we utilize the mean template instead of the traditional hidden Markov random field (HMRF) model for estimation of prior probability. Compared to HMRF, our method is simple, easy and fast to implement.
A Comparison of Android Reverse Engineering Tools via Program Behaviors Validation Based on Intermediate Languages Transformation

In Android, performing a program analysis directly on an executable source is usually inconvenient. Therefore, a reverse engineering technique has been adapted to enable a user to perform a program analysis on a textual form of the executable source which is represented by an intermediate language (IL). For Android, Smali, Jasmin, and Jimple ILs have been introduced to represent applications executable Dalvik bytecode in a human-readable form. To use these ILs, we downloaded three of the most popular Android reversing tools, including Apktool, dex2jar, and Soot, which perform transformation of the executable source into Smali, Jasmin, and Jimple ILs, respectively. However, the main concern here is that inaccurate transformation of the executable source may severely degrade the program analysis performance, and obscure the results. To the best of our knowledge, it is still unknown which tool most accurately performs a transformation of the executable source so that the re-assembled Android applications can be executed, and their original behaviors remain intact. Therefore, in this paper, we conduct an experiment to identify the tool which most accurately performs the transformation. We designed a statistical event-based comparative scheme, and conducted a comprehensive empirical study on a set of 1,300 Android applications. Using the designed scheme, we compare Apktool, dex2jar, and Soot via random-event-based and statistical tests to determine the tool which allows the re-assembled applications to be executed, and evaluate how closely they preserve their original behaviors. Our experimental results show that Apktool, using Smali IL, perform the most accurate transformation of the executable source since the applications, which are assembled from Smali, exhibit their behaviours closest to the original ones.
AXMEDIS Programme and Publication Tools: A Case Study with Satellite Distribution

The AXMEDIS project is exploring an integrated framework on cross-media content processing and production for multi-channel distribution. This paper presents one of the key sections of the framework with particular focus on the programme and publication (P&P) interface for defining programme and distribution of contents. The P&P tools provide an integrated environment with GUI where users can search for contents, create/edit programmes, and specify the transmission channel. Once a P&P programme is created and activated, the contents can be processed and delivered in an automatic manner as defined by the P&P programme. To demonstrate the functionalities of the AXMEDIS P&P tools, this paper presents a case study which utilises the P&P tools for the distribution of the AXMEDIS contents via satellite data broadcast provided by the EUTELSAT's OPENSKY platform.
Consensus under misaligned orientations

This paper presents a consensus algorithm under misaligned orientations, which is defined as (i) misalignment to global coordinate frame of local coordinate frames, (ii) biases in control direction or sensing direction, or (iii) misaligned virtual global coordinate frames. After providing a mathematical formulation, we provide some sufficient conditions for consensus or for divergence. Besides the stability analysis, we also conduct some analysis for convergence characteristics in terms of locations of eigenvalues.