Miracle-dz/UniFAR-FTUs huggingface dataset:
Driving Control of Planetary Rover Based on Slip Ratio Estimation

Slip-sinkage is one of the main factors influencing the driving safety of planetary rover in soft terrain. In the environment of scarce features, based on the stereo visual sensors, the visual odometry algorithm is firstly developed to calculate the position changes of planetary rover with six degrees of freedom, which combine with the wheel speed sensor achieve the estimation of wheel slip ratios. Then, on the basis of mechanical analysis of soft terrain, choosing the slip ratio as the state variable, the coordinated driving control algorithm is designed. Simulation and experiment results demonstrate the effectiveness of the proposed control algorithm.
Detection of Lead Pollution in Rice Using Hyperspectral Data

This paper presents a new method for detecting lead pollution in rice by using hyperspectral data. First, some transform methods are used to generate relatively independent datasets on hyperspectral data. Then, the kernel discriminant analysis is utilized to extract features from each represented dataset. Finally, new fused features are made by combining aforementioned features serially. The experimental result based on the proposed method shows the good performance in detecting lead pollution in rice.
Container Application Migration Algorithm in Internet of Vehicles

Internet of Vehicles (IoV) is a popular application scenario that combines edge computing and the Internet of Things. Among them, service migration caused by IoV application mobility is a research hotspot in this field. This paper studies the migration strategy of container applications based on edge computing in the IoV business scenario. In order to solve the difficulty in selecting the target server of the application to be migrated in the crossroads scenario, this paper converts the migration decision to the shortest path problem based on dynamic programming, and obtains the best migration choice at the current time by finding the migration path with the least total cost in a limited observation time, then use the container live migration technology to implement application pre-deployment, thereby greatly reducing service downtime, and enabling user-unaware application migration. Simulation results show that the dynamic programming method proposed in this paper reduces the long-term average migration total cost by 33.88% and 24.53%, respectively, compared to the nearest selection method and the local optimal method.
Classification of Pruning Methodologies for Model Development using Data Mining Techniques

Knowledge discovery process deals with two essential data mining techniques, association and classification. Classification produces a set of large number of associative classification rules for a given observation. Pruning removes unnecessary class association rules without losing classification accuracy. These processes are very significant but at the same time very challenging. The experimental results and limitations of existing class association rules mining techniques have shown that there is a requirement to consider more pruning parameters so that the size of classifier can be further optimized. Here through this paper we are presenting a survey various strategies for class association rule pruning and study their effects that enables us to extract efficient compact and high confidence class association rule set and we have also proposed a pruning methodology.
Over 40 Gbit/s 16:1 multiplexer IC using InP/InGaAs HBT technology

A low-power 16:1 multiplexer (MUX) IC using undoped-emitter InP/InGaAs heterojunction bipolar transistors (HBTs) has been successfully designed and fabricated. To minimise power consumption, the collector current density of each HBT was optimised taking into account the required operating speed and the number of fan-outs. Up to 47 Gbit/s error-free operation was confirmed with low power consumption of about 3.2 W. These results demonstrate that InP/InGaAs HBT technology is attractive for fabricating over 40 Gbit/s, low-power medium-scale-integration (MSI) circuits.
Applying the Interaction Design Process to Mission Planning: Using Team MATE Platform

The Army is in need of a system that affords leaders flexible mission planning. Currently, the Army uses a sandtable to plan and brief missions to unit subordinates. A sandtable is a representation of the mission area using the earth, sticks, rocks and anything else available. Team Mission Assistant-Tactical/Exercise (TeamMATE) was created to allow leaders to plan, rehearse, execute, and have an after action review on an electronic platform. This in turn would support efficient planning and review of a mission on all levels of the leader and subordinate chain-of-command. Through the design process of conceptualizing the design space, prototyping, and empirical data gathering we were able to provide design solutions to better support the end users of TeamMATE. Design approaches and limitations will be discussed throughout the paper.
Transition Control for a fixed-wing Vertical Take-Off and Landing Aircraft*

Abstract This paper addresses the problem of autonomous transition between hover and level flight for a model-scale fixed-wing Unmanned Air Vehicle (UAV). The UAV flight envelope is divided into hover, transition and level flight. Each flight region employs different controllers and the overall system is robust provided that there exists appropriate switching logic. Classic linear optimal control techniques provide stabilization in hover and level flight as well as reference tracking during the transition between these two distinct regions of the flight envelope. The reference trajectories are generated with some physical insight about the system, using very few parameters. Simulation results demonstrate the performance and robustness of the proposed solution, namely under the effect of sensor noise.
Mathematical Model Design of Small Helicopter - Unmanned Aerial Vehicle Development

The paper introduces main simulation principles of small helicopter T-Rex 600. The emphasis is on main rotor parts, the Bell-Hiller mixer and flybars. Main rotor performs three basic tasks: thrust generation, propulsion, longitudinal and lateral control. Flybars system directly affects the stabilization of helicopter as well as direction control of thrust vector of the main rotor.
Low electric field periodic poling of thick stoichiometric lithium niobate

Electric field periodic poling of 3 mm thick stoichiometric lithium niobate is reported for the first time. The appropriate poling field strength was found to be as low as 200 V/mm, two orders of magnitude lower than in congruent material, and 20 times lower than in previously published results obtained with near-stoichiometric crystals.
REGRESSION-BASED FLOW ADJUSTMENT PROCEDURES FOR TREND ANALYSIS OF WATER QUALITY DATA

Trend analysis is an important component of most total maximum daily load (TMDL) projects in assessing the adequacy of implementation plans on water quality improvement. One problem in trend analysis of water quality data is the confounding effect of varying streamflow conditions at the time of sampling. Commonly used methods of flow adjustment are ordinary least squares (OLS) regression and locally weighted regression and smoothing scatterplots (LOWESS) with a prespecified smoothing factor (f) of 0.5. We compared trend analysis results using these two methods of flow adjustment as well as LOWESS flow adjustment approach with the optimal f value based upon the bias corrected Akaike information criterion (AICc1). The objectives of the study were to evaluate the importance of flow adjustment in trend analysis and to determine the best flow adjustment method among these three procedures. Monthly concentrations from grab and flow-weighted data sets of soluble orthophosphate-phosphorus (PO4-P), total P (TP), and total suspended solid (TSS) were evaluated for three stream sites within the North Bosque River watershed in central Texas. The nonparametric Kendall statistic was employed to test for the presence of trend. As expected, the detection of trend was greatly influenced by flow adjustment. The LOWESS procedure was considered more appropriate than OLS, because LOWESS was able to better define the relationships between flow and constituent concentration. The AICc1 based f value and f = 0.5 in the LOWESS procedure gave similar trend results indicating that the default f value of 0.5 is adequate for reducing variability in constituent concentrations due to flow.
Modeling, fabrication and demonstration of a rib-type cantilever switch with an extended gate electrode

This paper presents the modeling, fabrication and measurement results of a rib-type cantilever switch with an extended gate electrode. In contrast to a conventional cantilever, it has a pull-in voltage that can be easily reduced and its dynamic bounce can be suppressed because the gate electrode is extended fully to the end of the beam. To investigate the static characteristics of the rib-type cantilever switch, the pull-in voltage is analytically compared to that of a conventional switch. We then numerically solve the dynamic Euler beam equation by introducing a new quasi-static contact model to predict the dynamic characteristics. Based on the modeling results, we successfully designed, fabricated and evaluated the rib-type cantilever switch. When the proposed cantilever switch was used with a newly optimized design of the bottom electrode, the pull-in voltage was reduced from 46.3 to 27.5 V (41% reduction). The dynamic response was measured both in air and low vacuum. The switching time was about 60% less than that of a conventional cantilever owing to the suppressed dynamic bounce. In addition, our measurements confirm that the proposed rib-type cantilever switch can endure over three times its pull-in voltage.
Object-Oriented Design for System Identification and its Application in Chemical Engineering Industries

Abstract Application of advanced process control methods in a chemical plant requires a model which represents the transient behaviour of the plant. However, only a few plant-wide identification methods have been proposed for chemical processes. In this paper, an object-oriented process identifier (OPI) framework has been introduced for plant-wide identification to show how using object-oriented design can provide a general plant-wide modelling framework for various systems including chemical processes. The interactions between units are considered in plant-wide identification methods. As a result, the obtained models can predict the system behaviour in new operating conditions better than those obtained from the separate identification of units in the plant. The performance of the OPI has been evaluated through its application for identification of two benchmark case studies which are frequently used by the research community of nonlinear process control. According to the results obtained from these case studies, OPI is flexible and robust enough to capture the dynamic behaviour of the system using a minimum amount of information.
The effect of composite placement technique on the internal adaptation, gap formation and microshear bond strength

Purpose: This study aimed to compare the efficiency of placement technique on internal adaptation, gap formation and microshear bond strength (SBS) of bulk-fill composite resin materials. Materials and methods: Standardized class V cavities were prepared for microcomputed tomography (mCT) test and divided into four groups (n=12) as follows: Group SDR: Smart Dentin Replacement system/bulk fill; Group SF2: Sonic-Fill system/bulk fill sonic-activated composite placement system; Group CHU: Herculite-XRV-Ultra composite resin inserted with Compothixo/sonic-vibrated composite resin placement system; Group HIT: Herculite-XRV-Ultra composite resin applied with incremental technique. Self-etch adhesive (Optibond-XTR) was used for bonding in all groups. After 10000 thermocycling, mCT scans were taken to reveal gap formation at the toothrestoration interface and universal testing machine was used to test microshear bond strength SBS values (n=10). ANOVA, post-hoc Bonferroni and Tukey HSD tests were used for evaluating the gap formation and SBS values p=0.05. Results: SF2 and CHU showed the best adaptability compared with both SDR and HIT. The difference between groups SDR and HIT was statistically significant (p<0.05). SBS values were found to be the highest for SF2, and the lowest for HIT groups (p>0.05). Conclusion: Bulk-fill composite resins placed either with sonic-activated or sonic-vibrated instrument demonstrated better adaptability, less gap formation and higher bond strength than both the bulk-fill flowable composite and conventional incremental techniques.
Damage Detecion of CFRP-Laminated Concrete based on a Continuous Self-Sensing Technology

This paper reports a novel structural health monitoring (SHM) technique for detecting de-bonding between a concrete beam and CFRP (Carbon Fiber Reinforced Polymer) sheet that is attached to the concrete surface. To achieve this, a multi-scale actuated sensing system with a self-sensing circuit using piezoelectric active sensors is applied to the CFRP laminated concrete beam structure. In this self-sensing based multi-scale actuated sensing, one scale provides a wide frequency-band structural response from the self-sensed impedance measurements and the other scale provides a specific frequency-induced structural wavelet response from the self-sensed guided wave measurement. To quantify the de-bonding levels, the supervised learning-based statistical pattern recognition was implemented by composing a two-dimensional (2D) plane using the damage indices extracted from the impedance and guided wave features.
Improving Urban Stormwater Quality: Applying Fundamental Principles

Abstract: Urban stormwater runoff is a growing contributor to the impairment of surface waters. Nature-based technologies, including green roofs, vegetated swales, grassed filter strips, bioretention, and pervious pavements have been demonstrated to be effective in mitigating detrimental runoff characteristics. Lacking, however, has been a fundamental engineering analysis approach to these technologies. Current design guidance is based on empirical recommendations and most performance data are based on limited, localized observations. Flow balances, including infiltration, evapotranspiration and surface discharge, based on fundamental fluid dynamics principles can be employed through analysis to understand flow management. Water quality improvements will occur through a specific unit processes or mechanisms, including sedimentation, filtration, adsorption, biotransformation, bio-uptake, and heat transfer. The performance of a specific technology will depend on the facility configuration and makeup, climate, surrounding soil characteristics, topography, and the site hydrology. Applying fundamental flow and water quality processes to storm water management technologies will allow quantitative design and predictable performance characterization.
Comparison of SASW and MASW methods using MSOR approach – a case study

Abstract Non-destructive testing (NDT) is widely used in assessing the integrity and strength of concrete pavement system. In recent years, many surface-wave testing techniques have been introduced to evaluate pavements in terms of shear-wave velocity profiles. Spectral-Analysis-of-Surface-Wave (SASW) and Multichannel-Analysis-of-Surface-Wave (MASW) are the two most commonly used NDT methods among them. The paper presents a comparative study on the performance of two methods to examine the shear-wave velocity profile of a pavement system. Dispersion curves from both methods are compared and discussed. It is found that for the pavement system with a good lateral uniformity, both techniques can produce reasonable results.
Patch antenna with stacked split‐ring resonators as an artificial magneto‐dielectric substrate

Densely packed arrays of split‐ring resonators (SRRs) are used as an artificial magneto‐dielectric substrate to reduce the resonant frequency of a λ/2 patch antenna. The SRR stacks (also called metasolenoids) embedded into dielectric medium constitute an anisotropic magneto‐dielectric substrate, thus allowing a considerable reduction of the resonant frequency of the antenna. The effects of the magneto‐dielectric substrates on impedance bandwidth are studied numerically and experimentally. We experimentally demonstrate a wider impedance band for an antenna with stacked SRRs embedded in a low‐permittivity substrate, as compared with one in a higher‐permittivity substrate without SRRs. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 46: 554–556, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21048
Distributed hierarchical processing

In previous papers, [BACUS 2000 4186-13 and BACUS 2001 4562-20], developments in hierarchical fracturing and in distributed processing in the CATSTM tool were studied. This study investigates the advances in the CATSTM tool that combine hierarchical fracturing and distributed processing. Time-consuming processes such as PSM, OPC and de-slivering logic for shaped beam machines are addressed. The attendant hierarchical fracturing commands are reviewed and commands associated with distributed processing are introduced. Hierarchical and flat data fracture times are compared, as well as threaded fracture and distributed fracture times. The resulting benefits are tabulated.
Towards modelling of construction, renovation and demolition activities: Norway's dwelling stock, 1900–2100

The activities of construction, renovation and demolition related to the dwelling (housing) stock have a strong impact on both material and energy demands. A deeper understanding of the dynamics driving these activities is a precondition for a more consistent way to address material and energy demands. The method presented herein is based on a dynamic material flow analysis and is applied to the Norwegian dwelling stock. Input data to the model are population and socio-economic lifestyle indicators such as the average number of persons per dwelling and the average size of dwellings; these determine the size of the floor area stock. Parameters such as the lifetime of dwellings and renovation intervals complete the input set. Outputs of the model are the stock and flows of floor area for the period 1900–2100. Analysis of the renovation activity is given particular attention. Several scenarios are considered in order to test the model's sensitivity to input's uncertainties. Results are compared with statistical data, where the latter are available. The main conclusion is that in the coming decades renovation is likely to overtake construction as the major activity in the Norwegian residential sector. Les activités de construction, de rénovation et démolition relatives au parc de logements ont un fort impact sur la demande de matériaux et d'énergie. Une meilleure compréhension de la dynamique qui anime ces activités est une condition préalable à une méthode plus cohérente de traitement des demandes de matériaux et d'énergie. La méthode présentée ici repose sur une analyse dynamique des flux de matériaux telle qu'elle est appliquée au parc de logements en Norvège. Les données fournies au modèle sont des indicateurs du mode de vie de la population et des indicateurs socio-économiques comme le nombre moyen de personnes par logement et la taille moyenne des logements; ces indicateurs déterminent la superficie des logements. Des paramètres comme la durée de vie des logements et les intervalles de rénovation complètent les données d'entrée. Les résultats du modèle sont le parc de logements et sa superficie pour la période 1900–2100. L'analyse de l'activité de rénovation reçoit une attention particulière. Plusieurs scénarios sont envisagés afin de mettre à l'épreuve la sensibilité du modèle par rapport aux incertitudes des entrées. Les résultats sont comparés aux données statistiques lorsque ces dernières sont disponibles. La conclusion principale réside dans le fait que dans les prochaines décennies, le secteur de rénovation risque de dépasser celui de la construction en tant qu'activité majeure du secteur résidentiel norvégien. Mots clés: parc de bâtiments, construction, démographie, démolition, prévisions, logement, analyse des flux de matériaux, rénovation, parc résidentiel, Norvège
Application of an Improved DV-Hop Algorithm on the Wireless Sensor Network of the Mine Shaft

Since the down hole operational environment is hostile, with serious potential safety hazards, it is necessary to establish a perfect safety monitoring mechanism. As an entirely new communication carrier, the wireless sensor network plays an active role in the safety monitoring of the mine. The sensor node localization technology is the foundation of its application. Its accuracy has a great influence on the effect of the mine shaft wireless communication. In the randomly distributed network, the node localization of the traditional DV-Hop(Distance Vector-Hop) algorithm has more error. In this paper, the original DV-Hop algorithm was improved by optimizing the average skip distance of the anchor node and correcting the accuracy of the hop count between nodes. The results of MATLAB simulation and comparison between the improved algorithm and the original one indicate that the improved algorithm increases the accuracy of the node localization in the mine shaft and which applicable to some extent.
Development of a Fuzzy Logic based, Photovoltaic Maximum Power Point tracking control system using boost converter

This paper presents simulation and hardware implementation of Fuzzy Logic based, grid connected photovoltaic maximum power point tracking control system using double boost converter. Contributions are made in several aspects of the whole system, including converter design, system simulation, controller programming, and experimental setup. The solar irradiation and temperature are mainly depends on the output power produced from the PV conversion process. Hence the maximum power point of PV array is tracked to maximize the efficiency of Photovoltaic system. The proposed method of this project is Maximum Power Point Tracker method based on Fuzzy Logic Controller which is applied to a stand-alone PV system. Contributions are made in several aspects of the whole system, including converter design, system simulation, controller programming, and experimental setup. By using this Fuzzy Logic Controller method we get high accuracy around the optimum point when compared to other conventional MPPT algorithms like hill climbing, incremental conductance and perturbation and observation. The proposed system consists of a standalone PV system, DC/DC Boost converters, Fuzzy Logic Controller and a load. Converter regulates voltage and current to provide a continuous maximum power to the load. The simulation results show the effectiveness of the proposed fuzzy logic controller applied for the PV system. MATLAB and Simulink were employed for simulation studies.
Timing jitter reduction of gain-switched DFB laser by external injection-seeding

The authors report the reduction of pulse-to-pulse timing jitter of a gain-switched DFB laser by external injection-seeding with a continuous wave (CW) laser. As the seeding power increases from -30 to -16 dBm the timing jitter decreases almost linearly from 1.6 to 0.9 ps without a noticeable increase in the pulse width.