Miracle-dz/UniFAR-FTUs huggingface dataset:
Modular Design of Control System for Photovoltaic Inverter

This paper analyzes the modular design method of the photovoltaic power generation system and presents a 5KW solar power inverter with variety of operating modes. Depending on the signal interface model, the hardware circuit is divided into several modules, including DC-DC main power circuit, DC-DC control circuit, DC-AC main power circuit, DC-AC control circuit and auxiliary power supply module. The circuit detail design is given and this system has been already used in the solar power stations. The circuit has a reusable and beneficial photovoltaic inverter standardized design. The experiment results prove that this system has features of reliability, easy maintenance, strong scalability and meets the requirements of the solar-energy generation system.
Plexus Convolutional Neural Network (PlexusNet): A novel neural network architecture for histologic image analysis

— Different convolutional neural network (CNN) models have been tested for their application in histological image analyses. However, these models are prone to overfitting due to their large parameter capacity, requiring more data or valuable computational resources for model training. Given these limitations, we introduced a novel architecture (termed PlexusNet). We utilized 310 Hematoxylin and Eosin stained (H&E) annotated histological images of prostate cancer cases from TCGA-PRAD and Stanford University and 398 H&E whole slides images from the Camelyon 2016 challenge. PlexusNet-architecture -derived models were compared to models derived from several existing "state of the art" architectures. We measured discrimination accuracy, calibration, and clinical utility. An ablation study was conducted to study the effect of each component of PlexusNet on model performance. A well-fitted PlexusNet-based model delivered comparable classification performance (AUC: 0.963) in distinguishing prostate cancer from healthy tissues, although it was at least 23 times smaller, had a better model calibration and clinical utility than the comparison models. A separate smaller PlexusNet model accurately detected slides with breast cancer metastases (AUC: 0.978); it helped reduce the slide number to examine by 43.8% without consequences, although its parameter capacity was 200 times smaller than ResNet18. We found that the partitioning of the development set influences the model calibration for all models. However, with PlexusNet architecture, we could achieve comparable well-calibrated models trained on different partitions. In conclusion, PlexusNet represents a novel model architecture for histological image analysis that achieves classification performance comparable to other models while providing orders-of-magnitude parameter reduction
The Application of Link Analysis to Police Intelligence

Link analysis procedures were developed and evaluated to aid law-enforcement agencies integrate collected information and develop hypotheses leading to the prevention and control of organized crime. The procedures were designed to portray the relationships among suspected criminals, to determine the structure of criminal organizations, and to identify the nature of suspected criminal activities. An experiment was conducted in which 29 teams of law enforcement intelligence analysts completed link analyses from information contained in identical data bases. The results compared favorably with criterion solutions prepared earlier. Subsequent field applications of link analysis by trained law enforcement officers confirmed the utility and potential value of these procedures.
Kalman Filter and Complementary Filter in Attitude Estimation of APM

This paper presents the results of a quaternion based extend Kalman filter (EKF) and complementary filter for ArduPilotMega (APM) attitude estimation. In addition, a new method to get the measurement noise covariance matrix R is proposed. Experimental results show that the two algorithms can meet the requirements, but the complementary filter can yield better performance than EKF.
Limestone quarries are the most important refuge for a formerly widespread grassland butterfly

Calcareous grasslands have an outstanding value for nature conservation. However, during the last century, they have suffered from severe area loss, fragmentation and degradation. Here, we studied the influence of macroclimate, landscape quality and habitat quality on populations of the Silver‐studded Blue, Plebejus argus, in calcareous grasslands and limestone quarries in a Central European landscape. Our study revealed that limestone quarries, especially those being actively managed, are the most important refuge for P. argus. Originally, the species was common in calcareous grasslands across the study area. More recently, however, patch occupancy was five times higher at quarries compared to calcareous grasslands and mean adult abundance nearly four times higher at occupied quarries than at occupied grasslands. The key driver of patch occupancy and adult abundance was a high abundance of the host plant. Adult abundance, additionally, increased with a sparse vegetation and a high cover of bedrock. The deterioration of habitat quality due to abandonment and decreasing grazing intensity has resulted in a strong decline of P. argus in calcareous grasslands. In contrast, quarries exhibit a very low successional speed due to their shallow soils. Hence, they are characterised by a high habitat quality for P. argus, i.e. dense stands of the host plant L. corniculatus, which grow on skeletal soils providing warm microclimatic conditions. Preserving limestone quarries with their early‐successional stages is of crucial importance for the conservation of P. argus.
High-precision shape representation using a neuromorphic vision sensor with synchronous address-event communication interface

A synchronous communication interface for neuromorphic temporal contrast vision sensors is described and evaluated in this paper. This interface has been designed for ultra high-speed synchronous arbitration of a temporal contrast image sensors pixels' data. Enabling high-precision timestamping, this system demonstrates its uniqueness for handling peak data rates and preserving the main advantage of the neuromorphic electronic systems, that is high and accurate temporal resolution. Based on a synchronous arbitration concept, the timestamping has a resolution of 100 ns. Both synchronous and (state-of-the-art) asynchronous arbiters have been implemented in a neuromorphic dual-line vision sensor chip in a standard 0.35 µm CMOS process. The performance analysis of both arbiters and the advantages of the synchronous arbitration over asynchronous arbitration in capturing high-speed objects are discussed in detail.
Improvement of the mode quality in large mode area (LMA) fibres

We used the offset launch and the near field imaging technique to analyse the modal content of large mode area (LMA) fibres in different launch conditions. The coiling technique was applied to suppress higher order mode contents in order to estimate the modal power distribution and to verify the loss factor for the single modes. Based on this analysis, an optimised coiling for LMA fibres will be developed, to suppress the higher order mode contents while maintaining the highest possible fundamental mode content.
Behavioral Theory of the Apparel Firm: A Beginning

The purpose of this paper is to propose a model for a behavioral theory of the apparel firm that will provide a framework for apparel business-related research and curriculum development in textiles and clothing and carry on our already strong behavioral related research tradition. According to the proposed model, the apparel firm's primary business may be manufacturing, retailing, or some vertically integrated combination of manufacturing and retailing. The apparel firm is a coalition of employees with five internal constituencies, executive management and four areas of specialization including merchandising as an integrative function, marketing, operations, and finance. An apparel firm's constituencies interact with each other and with external coalitions and their constituencies in a complex decision making matrix to provide the firm with the resources (materials and/or finished goods, money, physical facilities, etc.) required to conduct business. The primary focus of the proposed model is on the apparel firm's internal constituencies and how they relate to each other, to the firm's goals, and to external coalitions. Concepts are defined, constructs discussed, propositions proposed, and assumptions identified
Using an Accounting-based Management Control System for Cultural Change

Despite the well documented advantages of Continuous Improvement (CI) management, implementation failures are discouragingly high (Jazayeri & Hopper 1999). The most significant reason for failure in becoming a CI organization is cultural resistance (Irani et al. 2003), due in part to insufficient trust (Chenhall and Langfield-Smith 2003). When employment contracts fail, employees will resist changes perceived to threaten their welfare. This paper uses an innovative action research approach (Kaplan, 1998) to design and implement a Management Control System (MCS) that will reduce this problem. Unfortunately, a single theoretical perspective (information economics, agency theory, or learning theory) will not provide sufficient insights for implementation, since each theory assumes away critical application issues covered by the other theories (Covaleski et al. 2003). Drawing from several theoretical sources for this research, an MCS designed to support both the implementation and management of CI cultures is developed and applied in an American factory. A Continuous Improvement Accounting Information System (CI-AIS) is merged with an MCS using suggestions from 1) information economics (adaptive feedback), 2) agency theory (to reduce agency risk and shirking through management of uncertainty, economic loss, and group participation), and 3) constructivist learning theory (incremental formative assessment, collaboration, and repetition to learn a new culture). The proposed MCS is composed of an in-process budgeting system that facilitates the following four actions leading to the successful management of Continuous Improvement initiatives: 1) prioritizing problems, 2) analyzing the root cause of problems, 3) strategically designing change activities for improvement, and 4) validating subsequent changes to align with accounting-based performance contracts.
Mine Fan Fault Diagnosis Based on EMD and SVM

In this research, a new method based on EMD and SVM for mine fan fault diagnosis is introduced. With EMD, fault feature can be extracted quickly and accurately, and taken as the input samples for SVM with the outstanding non-linear pattern classification performances. 5 two-class SVM classifiers are designed in order to classify and diagnosis 5 typical fault patterns of mine fan. The result of this research shows that the integrative method of EMD and SVM is very fit for the intelligent diagnosis and fault patterns recognition, and it will lead to the possible development of an automated and on-line mine fan condition monitoring and diagnostic system.
High-finesse F-P cavity external optical feedback narrow linewidth diode laser

We present a narrow linewidth laser by optical feedback from a high-finesse F-P cavity. The cavity transmission feeds back to the laser diode by the external ring path. With a low servo bandwidth system, the feedback phase is compensated for maintaining the optical feedback operation. The linewidth of the optical feedback laser is reduced to 100 Hz, and the laser frequency noise in frequency range of 1 Hz to 10 kHz is suppression over 50 dB. It experimentally demonstrates the excellent characteristics of optical feedback technique.
Six Sigma and its link to TQM, BPR, lean and the learning organisation

Some organisations adopt improvement programmes as a panacea for all business problems, not taking into account that some initiatives fit better under certain conditions. This article compares Six Sigma, TQM, Reengineering, Lean and the Learning Organisation business programmes, attending to their origins, principles, methodologies and tools and techniques. Finally, a framework is proposed to locate the different strategies depending on their problem-solving capabilities, and comments made where there are synergies among strategies.
Impact of ERP implementation on supply chain performance

This study focuses on the impact of enterprise resource planning (ERP) implementation on supply chain performance. The focus of ERP is optimisation of resources within the business, whereas the focus of supply chain management is optimisation of resources within the supply chain. ERP integrates all the business processes in order to improve efficiency of the organisation. This study is an effort to analyse how ERP implementation impacts the performance of the supply chain. The research study is based on case study method. The method uses semi structured interviews with selected professionals from different sector. The research question was to find out the impact of ERP on the performance of the supply chain. The literature review and semi structure interviews clearly support the fact that supply chain performance is enhanced and improved with the implementation of ERP.
Relationship between quality management, innovation and competitiveness. Evidence from Greek companies

Purpose – The purpose of this paper is to examine the extent to which five core dimensions of quality management, as a single factor, are associated with product innovation and process innovation; and finally how these two affect a firm’s competitive advantage in the market. Design/methodology/approach – The analysis followed in order to investigate the relations between the constructs of the proposed model, includes an initial exploratory factor analysis (EFA), followed by confirmatory factor analysis (CFA) and finally structural equation modelling (SEM) Findings – According to the study findings, quality management (QM) directly contributes to product and process innovation. Furthermore, product and process innovation have a direct impact on companies’ competitive advantage. Thus, the study proves that QM is an opportunity for a firm to improve its innovation and consequently its competitiveness. Research limitations/implications – This study relies on the perceptions of the respondents to operationalize the survey instrument. In addition, all variables are measured in the year that the survey was carried out. However, since the research exams the relationship between QM, technical innovation and competitive advantage across various organizations, it would be interesting to conduct a longitudinal study within these organizations. Practical implications – Our study offers clear implications for managers, proving that they should give higher emphasis on QM and innovation in order to prioritize their product, production and technology strategies, to achieve sustainable competitive advantage. Originality/value – Based on the multi-dimensional structure of QM, this empirical study determines the contribution of QM to specific innovation performance and overall competitiveness of companies.
Thermo-mechanical stress in tubular solid oxide fuel cells: Part II ¿ operating strategy for reduced probability of fracture failure

A spatially discretised thermo-electrochemical model is developed to calculate the temperature distribution in a tubular solid oxide fuel cell (SOFC). This is used in a mechanical model to compute the distribution of thermo-mechanical stress in the ceramic membrane-electrode assembly of the cell. The resulting risk of fracture failure is determined by means of Weibull analysis. Part I of this work covers the dynamic operating properties of the SOFC and the time scale of material creep in its ceramic components. This work, Part II, deals with the risk of fracture failure related to transient operating scenarios, discusses its dependency on the operating conditions and derives a low-risk operating strategy. Contrary to the common perception, thermal gradients are found to have little impact on thermo-mechanical stress in the studied SOFC. Failure-relevant stress levels arise merely due to thermal mismatch of the ceramic layers. Regarding the operating strategy, the dynamics of changes in operating conditions are of minor importance for the resulting risk of failure, while operating strategies aiming at a constant mean cell temperature prove to be advantageous. The consideration of material creep is shown to be essential for a sound analysis of thermo-mechanical stress and risk of fracture in the investigated SOFC.
Areas of improvement in certified firms advancing towards TQM

This paper, which is part of a wider research process, identifies the categories of quality management, from the answers provided by those responsible for quality in 106 certified firms, in order to determine the importance of these categories, identify areas for improvement to progress beyond ISO 9000 quality management system series and compare our results with other studies in Spain. We conclude by indicating a set of recommendations for managers of certified firms which wish to progress beyond ISO 9000 series registration advancing towards total quality.
Median and neural network hybrid (MNNH) filters

When a nonstationary signal containing sudden changes, such as an image signal, is degraded by an additive noise, a powerful means to recover the signal is to use a nonlinear filter. This paper uses a layered neural network, and proposes a new method to construct a nonlinear filter for restoring a signal corrupted by mixed noise (i.e., mixed noise composed of Gaussian noise and impulse noise). As the first step, a prototype filter is proposed, which is a combination of a median filter and a linear (averaging) filter. Then, it is shown that the prototype filter can be represented by a network structure. By interpreting the network representation by a layered neural network, the idea is extended to the median neural network hybrid (MNNH) filter. The MNNH filter can be trained by the back-propagation algorithm. The prototype filter already has a high mixed noise elimination performance, but the MNNH filter can further improve the performance by reflecting information on the signal to be processed (the original image and the additive noise) when such information is given. Lastly, the usefulness of the MNNH filter is demonstrated through various application examples. © 1998 Scripta Technica. Electron Comm Jpn Pt 3, 81(6): 52–60, 1998
A Novel Adaptive Power Divider for High-Efficiency LTE Doherty Power Amplifier

Abstract A novel adaptive power-divider (APD) structure is introduced to overcome the limitations of practical Doherty power amplifiers (DPA). This technique provides a new structure for which the primary distinction from conventional structures is that it adjusts power division ratio to reduce the work load during measurement. Because the base station power amplifiers have a low efficiency due to the power back-off operation, efficiency enhancement techniques become very important. In this article, the efficiency simulation and measurements show that power-added efficiency of 52.5% can be achieved at 11-dB back-off. The power-added efficiency of an adaptive power-divider Doherty power amplifier is 5–10% larger than a conventional Doherty power amplifier. Furthermore, it is shown that this new structure can be used to improve the efficiency of the amplifier and bring a little effect of the third-order inter-modulation distortion.
Some theoretical aspects and recent developments in pneumatic positioning systems

The brief review of control laws, proposed or susceptible to proposition given in this paper, is based on the structure of linear and non-linear models adopted for the pneumatic positioning system which is under consideration. Attention is brought to relating and if possible, to justifying the control laws presented for the right field of control theory. A comparison is made between the theoretical possibilities of each control law. Also some questions open to discussion and some industrial applications are mentioned.
Research of the Key Technologies of the Smart Home Based on IOT

This paper mainly studies Ihome, the application of smart home, which provides a cloud service background, based on the distributed and intelligent control and a series of control terminals, smart sensors, to let the family consumers can fast, easy to build an extensible intelligent home solutions. In addition, intelligent control, control terminals, smart sensors can also be integrated in the intelligent community.
Summary and Overview of Development Technologies of Unconventional Oil and Gas Reservoir

Conventional reservoirs and unconventional reservoirs differ a lot in terms of accumulation mechanism, distribution, exploration evaluation method and technique. Therefore the accumulation study and exploration evaluation for unconventional reservoir are different from that of traditional reservoir. This paper presents five development techniques of unconventional oil and gas resources, their features, advantages and disadvantages and summarizes the current advanced technologies and their development trends.
A Study on Koreans’ Perception of the Word Kkondae

This study aimed to understand better how Koreans in their 30s to their 50s perceive the word kkondae using Q-methodology, a research method that reveals the subjectivity of individuals. “Kkondae” traditionally refers to condescending older people and reveals changes between generations in Korean society. Our research results showed four types of perceptions. Type 1 participants believe kkondae are people who wield authority based on age. Type 2 participants see kkondae as people who mistakenly believe their own experiences can be generalized. Type 3 participants view kkondae as self-centered and closed-minded people who think they are superior, while Type 4 participants perceive kkondae as people who lord over others as part of hierarchical relationships. Consequently, the four types of perceptions of kkondae demonstrate that the reasons and ways of expressing conflict situations between groups are changing in Korean society.
High‐Throughput Experimentation and Computational Freeway Lanes for Accelerated Battery Electrolyte and Interface Development Research

The timely arrival of novel materials plays a key role in bringing advances to society, as the pace at which major technological breakthroughs take place is usually dictated by the discovery rate at which novel materials are identified within chemical space. High‐throughput experimentation and computation strategy, now widely considered as a watershed in accelerating the discovery and optimization of novel materials in virtually every field, enables simultaneous screening, synthesis and characterization of large arrays of different material classes toward identification of the lead candidates for given system and targeted application. However, the ability to acquire data, through the continued advancement of automation platforms and workflows especially in the field of battery research and development, often outpaces the ability to optimally leverage obtained data for improved decision‐making. Closing this gap inevitably calls for adapted algorithms, development of reliable predictive models and enhanced integration with machine learning, deep learning, and artificial intelligence. This Review aims to highlight state‐of‐the‐art achievements along with an assessment of current and future challenges as well as resulting perspectives toward accelerated development of advanced battery electrolytes and their interfaces.