Miracle-dz/UniFAR-FTUs huggingface dataset:
Equivalent circuit models for resonant and PWM switches

The nonlinear switching mechanism in pulsewidth-modulated (PWM) and quasi-resonant converters is that of a three-terminal switching device which consists only of an active and a passive switch. An equivalent circuit model of this switching device describing the perturbations in the average terminal voltages and current is obtained. Through the use of this circuit model the analysis of pulsewidth modulated and quasiresonant converters becomes analogous to transistor circuit analysis where the transistor is replaced by its equivalent circuit model. The conversion ratio characteristics of various resonant converters and their relationship to a single function, called the quasi-resonant function, is easily obtained using the circuit model for the three-terminal switching device. The small-signal response of quasi-resonant converters to perturbations in the switching frequency and input voltage is determined by replacing the three-terminal switching device by its small-signal equivalent circuit model. >
Comparing the Effects of N and P Deficiency on Physiology and Growth for Fast- and Slow-Growing Provenances of Fraxinus mandshurica

With the continuous increase in atmospheric carbon dioxide emissions, nitrogen (N) and phosphorus (P) as mineral elements increasingly restrict plant growth. To explore the effect of deficiency of P and N on growth and physiology, Fraxinus mandshurica (hereafter “F. mandshurica”) Rupr. annual seedlings of Wuchang (WC) provenance with fast growth and Dailing (DL) provenance with slow growth were treated with complete nutrition or starvation of N (N-), P (P-) or both elements (NP-). Although P- and N- increased the use efficiency of P (PUE) and N (NUE), respectively, they reduced the leaf area, chlorophyll content and activities of N assimilation enzymes (NR, GS, GOGAT), which decreased the dry weight and P or N amount. The free amino acid content and activities of Phosphoenolpyruvate carboxylase (PEPC) and acid phosphatase enzymes were reduced by N-. The transcript levels of NRT2.1, NRT2.4, NRT2.5, NRT2.7, AVT1, AAP3, NIA2, PHT1-3, PHT1-4 and PHT2-1 in roots were increased, but those of NRT2.1, NRT2.4, NRT2.5, PHT1-3, PHT1-4, PHT2-1 and AAP3 in leaves were reduced by P-. WC was significantly greater than DL under P- in dry weight, C amount, N amount, leaf area, PUE, NUE, which related to greater chlorophyll content, PEPC enzyme activity, N assimilation enzyme activities, and transcript levels of N and P transporter genes in roots and foliage, indicating a greater ability of WC to absorb, transport and utilize N and P under P-. WC was also greater than DL under N- in terms of the above indicators except the transcript levels of N and P assimilation genes, but most of the indicators did not reach a significant level, indicating that WC might be more tolerant to N- than DL, which requires further verification. In summary, WC was identified as a P-efficient provenance, as the growth rate was greater for the genetic type with high than low tolerance to P-.
Self-switching and resistive circuits for a piezo patch in vibration suppression

A self-switching circuit and a resistive circuit are designed and implemented for vibration suppression with a piezo patch in this study. A numerical model is developed for a rectangular beam bonded with a pair of piezo patches. One piezo patch is used to excite the system, the other one being used for vibration damping. Optimal resistances are respectively determined for the resistive circuit and self-switching circuit, and a new switch law is proposed for the switching circuit. These two circuits are implemented in an experimental setup to verify the model. Experimental results show that the vibration of a clamped beam can be effectively damped by using the resistive circuit or switching circuit. Due to the fact that switching is not perfect in practice, the damping performance of the switching circuit is a little different from the simulated result.
MOFISSLAM: A Multi-Object Semantic SLAM System With Front-View, Inertial, and Surround-View Sensors for Indoor Parking

The semantic SLAM (Simultaneous Localization And Mapping) system is a crucial module for autonomous indoor parking. Visual cameras (monocular/binocular) and IMU (Inertial Measurement Unit) constitute the basic configuration to build such a system. The performance of existing SLAM systems typically deteriorates in the presence of dynamically movable objects or objects with little texture. By contrast, semantic objects on the ground embody the most salient and stable features in the indoor parking environment. Due to their inabilities to perceive such features on the ground, existing SLAM systems are prone to tracking inconsistency during navigation. In this paper, we present MOFIS<sub>SLAM</sub>, a novel tightly-coupled <inline-formula> <tex-math notation="LaTeX">${M}$ </tex-math></inline-formula>ulti-<inline-formula> <tex-math notation="LaTeX">${O}$ </tex-math></inline-formula>bject semantic SLAM system integrating <inline-formula> <tex-math notation="LaTeX">${F}$ </tex-math></inline-formula>ront-view, <inline-formula> <tex-math notation="LaTeX">${I}$ </tex-math></inline-formula>nertial, and <inline-formula> <tex-math notation="LaTeX">${S}$ </tex-math></inline-formula>urround-view sensors for autonomous indoor parking. The proposed system moves beyond existing semantic SLAM systems by complementing the sensor configuration with a surround-view system capturing images from a top-down viewpoint. In MOFIS<sub>SLAM</sub>, apart from low-level visual features and inertial motion data, typical semantic objects (parking-slots, parking-slot IDs and speed bumps) detected in surround-views are also incorporated in optimization, forming robust surround-view constraints. Specifically, each surround-view feature imposes a surround-view constraint that can be split into a contact term and a registration term. The former pre-defines the position of each individual surround-view feature subject to whether it has semantic contact with other surround-view features. Three contact modes, defined as <italic>complementary</italic>, <italic>adjacent</italic> and <italic>coincident</italic>, are identified to guarantee a unified form of all contact terms. The latter further constrains by registering each surround-view observation and its position in the world coordinate system. In parallel, to objectively evaluate SLAM studies for autonomous indoor parking, a large-scale dataset with groundtruth trajectories is collected, which is the first of its kind. Its groundtruth trajectories, commonly unavailable, are obtained by tracking artificial features scattered in the indoor parking environment, whose 3D coordinates are measured with an ETS (Electronic Total Station). The collected dataset has been made publicly available at <uri>https://shaoxuan92.github. io/MOFIS</uri>.
AFLP Primer Selection for the Analysis of Genetic Diversity in Persimmon (Diospyros kaki L.) Originated From Central and East Java, Indonesia

Persimmon (Diospyros kaki L.) belongs to the family Ebenaceae known as the Japanese persimmon kaki. This crop was introduced in the Highlands in Central and East Java-Indonesia. A genetic analysis of a small sample of accessions was conducted using the Amplified Fragment Length Polymorphism (AFLP) method with IRDye700 labelled Pst1 (P11-700) and Mse1 restriction enzymes and seven primers combinations (M48, M49, M50, M51, M53, M55, and M58). The analysis resulted in a set of 441 bands, of which 117 were monomorphic and 324 polymorphic. The average percentage of polymorphic bands was 73.4%. The four persimmon accessions were genetically distinguished into three groups, with a high genetic diversity among them, while accessions B (Batu) and D (Dampit) show little differences in their profiles.
The Configuration of Supply Chain Concentration and Staff Structure in Intelligent Manufacturing: A Fuzzy Sets Qualitative Comparative Analysis

In traditional manufacturing enterprises, there are common problems of low added value of products, low profit, and poor business performance. As a result, they endeavor to transform themselves into intelligent manufacturing. To help with their transformation, this paper proposes a decision support model for managers to improve the business performance under different configurations of supply chain concentration and staff structure. Through the fuzzy set qualitative comparative analysis, the membership degree is given to the variables, and then the configuration analysis is carried out. We find that, to facilitate intelligent manufacturing, the concentration degree of supply chain or the structure of employee education should be adjusted according to the results from the qualitative comparative analysis of fuzzy sets. Two configuration paths to improve business performance are found. When the supply chain concentration degree is relatively decentralized, manufacturing enterprises should expand the proportion of sales personnel and production personnel. In other words, when the sales personnel and production personnel reach the saturation state, low concentration of suppliers and customers is more conducive to the improvement of business performance. The configuration of high proportion of production personnel and low customer concentration tends to lock enterprises in the lower end of the value chain. Therefore, it is critical for enterprises to improve the education level of employees to transform into intelligent manufacturing and improve their business performance.
Enhancing citizen response to crises through communication: investigating expert views

The purpose of this paper is to clarify how citizen response to crises is currently being enhanced, and how it might be increased, by emergency response organisations in member states of the European Union via communication strategies and tools. Data were gathered via an online questionnaire directed at emergency management and crisis communication experts working in the field of crisis response. The experts were drawn from the database of an international conference. The results indicate that while the importance of involving citizens in crisis response is generally acknowledged, the implementation of such activities is often fragmented. Although some initiatives are under way, coherent structures are lacking. It is suggested that the issue needs structural attention and that such efforts need to include a wide range of emergencies, applying regional and cultural specific approaches adapted to local needs.
Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds

Chronic wounds, or wounds that are not healing properly, are a worldwide health problem that affect the global economy and population. Alongside with aging of the population, increasing obesity and diabetes patients, we can assume that costs of chronic wound healing will be even higher. Wound assessment should be fast and accurate in order to reduce the possible complications, and therefore shorten the wound healing process. Contact methods often used by medical experts have drawbacks that are easily overcome by non-contact methods like image analysis, where wound analysis is fully or partially automated. This paper describes an automatic wound recording system build upon 7 DoF robot arm with attached RGB-D camera and high precision 3D scanner. The developed system presents a novel NBV algorithm that utilizes surface-based approach based on surface point density and discontinuity detection. The system was evaluated on multiple wounds located on medical models as well as on real patents recorded in clinical medical center.
SIMULATION OF TWO-PHASE FLOWS IN INJECTORS WITH THE CFD CODE EOLE

In high pressure diesel injection processes, the flow is led by mass transfer mechanisms. Indeed, cavitation of the flow occurs due to the drop of the static pressure locally induced by geometrical constraints: in the needle seat and at the hole inlets. The presence of unsteady cavitation which depends on characteristics of the holes and of the needle, strongly affects the instantaneous values of the flow rate, the injection velocity, the diesel fuel hydraulic area and the injection angle. A numerical code (EOLE) for the simulation of cavitating diesel flows has been developed. It is based on a multiphase Navier-Stokes model using a VOF interface tracking method able to calculate the cavitation evolution within Diesel injectors, taking into account the mass transfer process at the liquid-vapour interfaces. The needle motion is computed with a grid deformation technique based on a sliding nodes method. This method allows getting very well conditioned meshes even when the opening of the needle is very small and so the cells of the mesh very squeezed. The model has been validated on the basis of comparisons with measurements on different kinds of injector. The paper shows some further validations of the model especially on axi-symmetrical and unsymmetrical one-hole injectors, as well as on multi-hole injectors, considering a moving needle. Paper ID ILASS08-2-7
Advancing apprentices: developing progression routes into higher education through the development of a pilot Higher Level Apprenticeship scheme

This paper outlines research undertaken at a Northern UK university in partnership with a local further education college. The research was underpinned by reference to national policies, government strategies and the findings of others in the field, and involved the collection and analysis of interview and questionnaire data from apprentices and employers; an examination of the local and regional skills profile; liaison with the sector skills council; and the development of a new form of qualification. The outcome of the research was the development of a pilot Higher Level Apprenticeship scheme as a progression route for Level 3 Motor Vehicle apprentices, which combined both academic and professional qualifications and which met the identified Level 4 needs of this group of learners. This research has highlighted not only the need for a new form of work‐based progression but has also recognised the direction which such a programme should take as an employer‐led and customer‐driven course, thus providing wider relevance across the higher education sector than simply its application to its local setting.
Precise frequency and bandwidth control of switchable microstrip bandpass filters using diode and microelectro-mechanical system technologies

In this study, two reconfigurable bandpass filters are presented. The first filter is able to switch between WiFi and universal mobile telecommunications (UMTS) transmit band standards. Centre frequency, bandwidth and power specifications are precisely met by a switchable filter topology that includes two folded resonator extensions switched by only two PIN diodes. Design specifications require two filter states, one at 2.440 GHz with a 80 MHz bandwidth and a second state at 1.955 GHz with a 140 MHz bandwidth for the WiFi and UMTS transmit bands, respectively. The filter should handle a maximum power of 16 and 21 dBm for the WiFi and UMTS states, respectively. Measured results show very good agreement with the simulations. The filter topology meets power requirements of both standards. The second filter was designed using ohmic-contact cantilever-type MEMS able to switch between two different states with a centre frequency tunable range of 24% in C band. This design includes two additional switches to provide precise input and output couplings for each state. The filter was designed to have centre frequencies of 5 and 6.2 GHz, with a fractional bandwidth of 7 and 3%, respectively. Filter specifications were successfully met with the proposed topologies.
Electric Load Forecasting Using Genetic Algorithm - A Review

Many real-world problems from operations research and management science are very complex in nature and quite hard to solve by conventional optimization techniques. So, intelligent solutions based on genetic algorithm (GA), to solve these complicated practical problems in various sectors are becoming more and more widespread nowadays. GAs are being developed and deployed worldwide in myriad applications, mainly because of their symbolic reasoning, flexibility and explanation capabilities. This paper provides an overview of GAs, as well as their current use in the field of electric load forecasting. The types of GA are outlined, leading to a discussion of the various types and parameters of load forecasting. The paper concludes by sharing thoughts and estimations on GA for load forecasting for future prospects in this area. This review reveals that although still regarded as a novel methodology, GA technologies are shown to have matured to the point of offering real practical benefits in many of their applications.
HYPERION: A FOLLOW-THE-SUN DESIGN EXPERIENCE

A delocalized international team of Graduate and Undergraduate students conceive, design, implement, and operate a 3 meter wingspan aircraft with the intent to investigate numerous new ‘green’ aircraft technologies. The project, known as Hyperion, teaches essential systems engineering skills through long-distance design collaborations with multidisciplinary teams of engineering students located around the world. First year project partners were the University of Colorado at Boulder, USA, the University of Sydney, Australia, and the University of Stuttgart, Germany. The teams on three continents are distributed 8 hours apart; students can relay select work daily so that progress can “Follow-The-Sun (FTS). ” As a result three workdays are packaged in one 24 hour period. The student teams operate as a single, independent entity; structuring themselves as a simulated industry operation. Thus, project management and systems engineering principles are learned through a real-world design and deliver experience. The project also teaches delocalized manufacturing: select components are manufactured by each team and integrated both in Stuttgart and Colorado, giving the students an opportunity to learn multifaceted design for manufacturing. The project incubated many problems which lead to mitigation techniques for global collaboration as well as generating a better educated workforce to enter modern industry. In the second year the international collaboration was limited to students at the University of Stuttgart. The team analyzed technical deficiencies of the first generation Hyperion 1.0 aircraft, a flying wing, and redesigned the wings to criteria that make it a blended wing body aircraft. The team also implemented an autonomous flight control system.
Designing a Soft Sensor with the Weighted Fuzzy Neural Network

Soft sensors are algorithms capable of estimate the process output that can not be measured directly in real time. A data-driven soft sensor is an inferential model developed from process observations. In this paper, the soft sensor modeling process based on the weighted fuzzy neural network was discussed. The proposed algorithm based on genetic algorithm and particle swarm optimization could obtain a near-optimal structure of fuzzy neural network, and the numerical experiments show that the soft sensor model has good performance.
1D modelling of internal oxidation phenomena with X-FEM

The simulation of simultaneous diffusion and precipitation of a chemical element during internal oxidation phenomena is presented here, from X-FEM method. This technique seems to be really appropriate when solubility products are very low, or even almost null. In this case, a precipitation front appears and should be properly represented by the numerical simulation. The X-FEM method is then of strong interest, since it allows to know precisely the position of the front all the time of simulation, without remeshing.
The Effect of Corporate Social Responsibility, Firm Size, and Leverage on Tax Aggressiveness: An Empirical Evidence

The Effect of Responsibility, and Leverage Aggressiveness: Empirical Abstract Tax aggressiveness is an interesting research topic in the accounting and management literature. Tax aggressiveness is one of the driving factors in many corporate decisions. Research testing the link between CSR and firm size, leverage to tax aggressiveness is limited and shows inconsistent results. The study aims to test the influence of corporate social responsibility (CSR), firm size, and leverage on tax aggressiveness. The research was conducted in food and beverage sub-sector manufacturing companies listed on the Indonesia Stock Exchange for the period 2017-2019. A sample of 16 companies was determined using the purposive sampling technique. Data in the form of 48 financial statements obtained from the Indonesia Stock Exchange website. The data is analyzed using multiple linear regression analysis techniques, with SPSS 20 software. The results showed that CSR has no significant negative effect on tax aggressiveness; firm size has a significant positive effect on tax aggressiveness; and leverage has a significant negative effect on tax aggressiveness. The results of this study contribute to the financial accounting and taxation literature, especially the discussion of tax aggressiveness and the factors that influence it. Theoretically, the results of this study strengthen stakeholder theory and legitimacy theory. While practically, the results of this study can provide understanding for companies about the factors that can affect tax aggressiveness.
Performance measurement system: case studies from SMEs in India

Performance Measurement System (PMS) is underdeveloped and underresearched in Small and Medium Enterprises (SMEs). It has emerged as a vital decision support tool at the strategic management level in SMEs in the developing nations. This research explores and examines the PMS development through four select case studies in India. Another purpose of this study is to provide some preliminary insights on why SMEs adopt the PMS. It also aims to identify critical issues that would contribute to the effective performance measurement function in Indian SMEs. This research is exploratory in nature; a case study methodology is used for the research. Based on four case studies from diverse SMEs from three different states of western India, the paper presents four important issues â€“ PMS strategy, competitive priorities, benefits observed/perceived by effective management of PMS function and barriers observed in implementing PMS practices. Based on the analysis of the case studies, several propositions as recommendations for effective PMS development in Indian SMEs are proposed.
Motor training‐related brain reorganization in patients with cerebellar degeneration

Cerebellar degeneration progressively impairs motor function. Recent research showed that cerebellar patients can improve motor performance with practice, but the optimal feedback type (visual, proprioceptive, verbal) for such learning and the underlying neuroplastic changes are unknown. Here, patients with cerebellar degeneration (N = 40) and age‐ and sex‐matched healthy controls (N = 40) practiced single‐joint, goal‐directed forearm movements for 5 days. Cerebellar patients improved performance during visuomotor practice, but a training focusing on either proprioceptive feedback, or explicit verbal feedback and instruction did not show additional benefits. Voxel‐based morphometry revealed that after training gray matter volume (GMV) was increased prominently in the visual association cortices of controls, whereas cerebellar patients exhibited GMV increase predominantly in premotor cortex. The premotor cortex as a recipient of cerebellar efferents appears to be an important hub in compensatory remodeling following damage of the cerebro‐cerebellar motor system.