Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed state estimation for leak detection in water supply networks

In this paper, we focus on observer-based approaches of leak detection and isolation in pipeline networks, which has the potential to be extended to large-scale water supply network systems, while in previous studies only single pipeline scenario is considered. Due to several disadvantages of implementing centralized state estimation for large-scale systems, the distributed Kalman filter algorithm has been applied in this paper. The observers are designed on the basis of a set of nonlinear fluid models of pipelines, pumps and other hydraulic accessories, with uncertainties in leak position and magnitude. The approach assumes only flow and pressure measurements at the ends of each duct. Simulation results with a water transmission line are presented to assess the efficiency of the proposed distributed state estimation method while comparing with its centralized counterpart.
Survey on D2D Resource Scheduling and Power Control Techniques: State-of-art and Challenges

Device to Device (D2D) communication has emerged as the most promising paradigm for optimizing spectral and energy e ffi ciency, reliability as well as increasing network throughput in the emerging cellular generation. D2D resource optimization scheme has been thoroughly investigated in the literature to manage interference and enable its smooth integration into the future cellular network in recent years as an increasing number of papers are published each year. We believe systematic categorization of literature in the area will help readers to comprehend the strengths, weaknesses, and trends of the solution approach. However, a survey that discusses all aspects, requirements, and challenges of D2D resource optimization is largely missing. Hence, in this paper, we aim to develop a comprehensive survey that fills the gaps found in the previous literature. Based on the surveyed papers, it will figure out ideas that have been thoroughly explored and those that assume the potential for further research.
Looking back to move forward: a scoping review of counselling psychology in South Africa

Despite that counselling psychologists represent a substantial group of registered psychologists in South Africa, literature specifically on the sub-speciality within the country is limited. The aim of this scoping review was to provide a comprehensive summary of the literature available on counselling psychology in South Africa and examine the extent to which literature is available from a lifespan or career-stage perspective. Three electronic databases (EBSCOhost, Sabinet®, and PubMed) were searched for articles published between 2000 and 2021. Titles and abstracts were reviewed, and data extracted and synthesised thematically. Of 507 citations identified, 10 met the inclusion criteria. Findings indicate that literature on counselling psychology in South Africa is scarce, subject to methodological limitations, and dominated by a small number of authors conducting multiple analyses on the same sets of data. Furthermore, literature on counselling psychologists at key career stages across the professional lifespan is largely missing from the professional discourse. Emphasis is instead placed on counselling psychology as embedded in the sociopolitical history of South Africa, professional identity, the contemporary status of the profession, professional threats and challenges, and the profession’s future promise. Our review highlights the need for more empirically informed studies making use of different methodologies, involving multiple authors with diverse backgrounds, tracking employment trends, and soliciting first-person accounts of counselling psychologist’s experiences at key career stages. Without doing so, ideas about how best to support and utilise this particular group of practitioners may be misguided, in turn compromising the successful provision of mental health care within the country.
Multipath Miller Compensation for Switched-Capacitor Systems

A hybrid operational amplifier compensation technique using Miller and multipath compensation is presented for multi-stage amplifier designs. Unconditional stability is achieved by the means of pole-zero cancellation where left-half zeros cancel out the nondominant poles of the operational amplifier. The compensation technique is stable over process, temperature, and voltage variations. Compared to conventional Miller-compensation, the proposed compensation technique exhibits improved settling response for operational amplifiers with the same gain, bandwidth, power, and area. For the same settling time, the proposed compensation technique will require less area and consume less power than conventional Miller-compensation. Furthermore, the proposed technique exhibits improved output slew rate and lower noise over the conventional Miller-compensation technique. Two-stage operational amplifiers were designed in a 0.18 μm CMOS process using the proposed technique and conventional Miller-compensated technique. The design procedure for the two-stage amplifier is applicable for higher-order amplifier designs. The amplifiers were incorporated into a switched-capacitor oscillator where the oscillation harmonics are dependent on the settling behaviour of the op amps. The superior settling response of the proposed compensation technique results in a improved output waveform from the oscillator.
Multi-Objective Optimization of the Chebyshev Lambda Mechanism

Walking mechanisms are a solution for cases in which wheels are not applicable, such as uneven or stepped surfaces and surfaces withobstacles. Furthermore, it is possible to tailor mechanism footpaths to expected working conditions through optimization. Thus, in this paper, a mechanism optimization process was proposed, focusing on single-leg performance. Numerical Simulink calculations were used to determine objective function values, which were then input to a non-dominated sorting genetic algorithm (NSGA-II) for optimization. In each following generation, NSGA-II provided a new set of units for evaluation. The procedure was applied to the single leg of the Chebyshev lambda mechanism to better illustrate it, enabling a comprehensive analysis of candidates. Four objective functions (i.e., length in the x-direction, trajectory height variation, maximum foot acceleration, and foot speed fluctuation) were used to carry out a multi-objective optimization. The calculation time was approximately 2 s/unit.
Time-frequency feature extraction from multiple impulse source signal of reciprocating compressor based on local frequency

Vibration signals generated by reciprocating compressor present a multiple impulse source property, which is typical non-stationary. For this kind of signal, time-frequency analysis techniques, such as STFT, WVT, WT and HHT, represent some limitations. To alleviate this problem, a novel concept of local frequency (LF) is proposed in the paper. Based on the concept, a time-frequency distribution algorithm is established. Some non-stationary simulation signals, including multi-harmonic signal, FM signal and multiple impulse source signal, are investigated to identify the feasibility and effectiveness of the novel time-frequency analysis technique. Compared with WVT, WT and HHT, time-frequency analysis based on LF represents a higher resolution and more useful information. Moreover, the proposed approach is applied to the fault feature extraction of reciprocating compressor gas valve vibration signal in normal valve state and gap valve state. The results indicate the superiority of proposed approach in extracting time-frequency features from multiple impulse source signal of reciprocating compressor, which obtains a more precise result than WVT, WT and HHT. So it can provide an effective basis to fault diagnosis of reciprocating compressor.
Hard real-time communication for mobile ad hoc networks

The increasing availability of wireless local area networking, particularly ad hoc networking, has lead to the evolution of new application domains, such as inter-vehicle communication and communication between autonomous mobile robots. Real-time communication is essential to allow applications in these domains to be realised. The characteristics of a mobile ad hoc network, typified by host mobility, unpredictable resource availability and time-varying connectivity, pose challenges for providing hard real-time communication guarantees in this domain. An approach adopted by previous real-time communication models is to adapt the communication time bounds to reflect the dynamics of the network. However, allowing time-bound adaptation implies that only soft real-time communication is available and, critically, that hard real-time communication is not. This thesis describes a new communication model, the space-elastic model, to provide hard realtime communication for applications with guaranteed response-time requirements in wireless networks in general, and ad hoc networks in particular. In addition, a new real-time ad hoc routing protocol, the Space-Elastic Adaptive Routing (SEAR) protocol, is described, which provides the basis of a real-world implementation of the space-elastic model. The contributions of this thesis are two-fold. Firstly, the space-elastic model is proposed to enable hard real-time communication by using specified geographical bounds to scope the area within which timely communication must be guaranteed in a wireless network. Due to network dynamics the space or actual coverage within which timely communication is guaranteed may be adapted over time with timely adaption notification to higher layers when a space adaptation occurs. No change is made to the specified communication time-bounds within the actual coverage. Secondly, a new location-aware real-time ad hoc routing protocol, SEAR, coupling time-bounded route discovery and maintenance with dynamic resource reservation has been designed and implemented. An evaluation of the spaceelastic model, using SEAR, shows that time-bounded communication is possible within the actual coverage and that time-bounded notification can be provided if adaptation occurs.
Physical Healthcare, Health-Related Quality of Life and Global Functioning of Persons with a Severe Mental Illness in Belgian Long-Term Mental Health Assertive Outreach Teams: A Cross-Sectional Self-Reported Survey

Research shows that care delivery regarding somatic health problems for patients with a severe mental illness (SMI) in community and mental health is difficult to establish. During the last decade, long term mental health outreach teams in Belgium were implemented to provide treatment and follow-up at home. This study aimed to map physical health status, care professionals, health related quality of life and global functioning in persons with SMI in Belgian long term outreach teams for mental health. Using a self-administered questionnaire, 173 persons, 58.1% female with a mean age of 48.3, were questioned. Our findings suggest an undertreatment of somatic comorbid conditions, with only half of physical health complaints being addressed. Although treatment rates for hypertension, when detected were high, treatment of respiratory complaints, pain and fatigue was lacking. Although the majority of respondents responded to have a GP or psychiatrist, contact rates were rather limited. Other disciplines, such as primary care nurses, when present, tend to have more contact with people with SMI. Notably, having regular contacts with GPs seems to improve physical health complaints and/or treatment. Being treated by an outreach team did not show significant correlations with physical health complaints and/or treatment suggesting a more proactive approach by outreach teams or primary care providers is desirable.
Geometric morphometric analysis for the systematic elucidation of new Hylicellidae from the Jurassic of China (Hemiptera: Cicadomorpha)

Abstract. The extinct family Hylicellidae, as the ancestral group of modern cicadomorphans, had a wide distribution and a very high species-level biodiversity from the Triassic to Early Cretaceous. We herein report 11 new hylicellid specimens from the Jurassic Daohugou beds of Inner Mongolia, NE China, and execute geometric morphometric analysis (GMA) to elucidate their systematic position. Our GMA and subsequent morphometric statistics indicate that 10 of our new specimens can be compared to the holotype of Cycloscytina gobiensis, and one is new to science. Cycloscytina incompleta new species is erected based on this specimen, with the following discriminatory tegminal traits: C3 almost as long as and slightly narrower than C2, and the forking position of stem M distinctly migrates towards wing apex and much apicad of the stem CuA bifurcating. Additionally, Cycloscytina plachutai is herein transferred to the procercopid genus Procercopina, resulting in P. plachutai new combination. To date, just a few body structures of Hylicellidae have been revealed, and the new whole-bodied hylicellids reported herein provide some novel insights on the evolution of basal Clypeata. This study also emphasizes the use of morphometric analysis in the systematics of wing-bearing insects such as hylicellids.
An Analysis of the Factors Associated with Adoption of Electronic Supply Chain Management (e-SCM) Procurement Systems Within the U.S. Automotive Industry

The U.S. automotive industry is a vitally important industry to our nation; over 7,000,000 individuals directly rely on this industry for their livelihood (Hill, K. (2014). Just How High‐Tech is the Automotive Industry? Ann Arbor, MI: Center for Automotive Research (CAR)). This study investigated the use of electronic supply chain management (eSCM) system usage within this industry and its influence on work-related procurement outcomes. An electronic questionnaire was used to gather perceptions consistent with the constructs of the technology acceptance model, or “TAM” (Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: theory and results. Published Doctoral Dissertation, Massachusetts Institute of Technology, Cambridge, MA. ) It examined e-SCM systems used in the automotive industry to test whether factors such as ease of system use (EOU) and perception of organizational usefulness (PU) are factors in regarding a decision to use e-SCM systems within the procurement function of their own organizations. The results of the survey analysis showed that the perceptions of organizational usefulness, as well as the ease of system use, are each variables affecting the final adoption of such systems within individual organizations. Further findings showed that these variables, along with other factors, including individual experience, educational level, and gender, were important in predicting work outcomes within this industry, in terms of overall results and predicting organizational decision outcomes. As such, this research offers an understanding of the factors that are critical to achieving continued innovation and corresponding industry success for organizations and individuals alike, transacting business at all supply chain levels within the U.S. automotive industry. v ANALYSIS OF e-SCM IN U.S. AUTO INDUSTRY Further research efforts should focus on the examination of the usage of this same model and corresponding survey instrument toward other manufacturing-based U.S. industries (such as aerospace/defense or pharmaceutical/medical) as well as other countries’ automotive industries, such as Germany and Japan, for generalizability perspectives. vi ANALYSIS OF e-SCM IN U.S. AUTO INDUSTRY
Data-driven decision making: new opportunities for DSS in data stream contexts

ABSTRACT Traditionally, Decision Support Systems (DSS) data were stored statically and persistently in a database. Increasing volume and intensity of information and data streams create new opportunities and challenges for DSS experts, data scientists, and decision makers. Novel data stream contexts require that we move beyond static DSS modelling techniques to support data-driven decision-making. Implementing incremental and/or adaptive algorithms may help to solve some of the challenges arising from data streams. This research investigates the use of these algorithms to better understand how their performance compares with more traditional approaches. We show that an adaptive DSS engine has the potential to identify errors and improve the accuracy of the model. We briefly identify how this approach could be applied to unexpected highly uncertain decision scenarios. Future research considers new opportunities to pursue a multidisciplinary approach to adaptive DSS design, development, and implementation leveraging emerging machine learning techniques in tackling complex decision problems.
Predicting Critical Speeds in Rotordynamics: A New Method

In rotordynamics, it is often important to be able to predict critical speeds. The passage through resonance is generally difficult to model. Rotating shafts with a disk are analyzed in this study, and experiments are conducted with one and two disks on a shaft. The approach presented here involves the use of a relatively simple prediction technique, and since it is a black-box data-based approach, it is suitable for in-situ applications.
Robust Hybrid Beamforming for Outage-Constrained Multigroup Multicast mmWave Transmission With Phase Shifter Impairments

This article investigates robust hybrid beamforming design for outage-constrained multigroup multicast millimeter-wave (mmWave) transmission. The phase shifter impairments incorporated in the analog beamformer can impose negative damage on the Quality of Service (QoS) of users. To address this imperfect hardware problem, phase shifter impairments are modeled, and robust hybrid beamforming is formulated to maximize the worst-case signal-to-interference–plus-noise ratio (SINR). The digital beamformer and analog beamformer are jointly optimized based on an alternating optimization (AO) approach, where both the outage probability of users and the average transmit power at the base station (BS) are derived into closed-form expressions in each iteration. Moreover, the semidefinite programming (SDP) approach is resorted to handling the hybrid beamforming design. Based on the penalty and the successive convex approximation (SCA) approaches, we further propose a penalty-SCA-SDP-AO (PSSA) algorithm to address the constant-modulus constraint caused by phase shifters and the rank-one constraint introduced by the semidefinite form. Simulation results show that compared to the conventional nonrobust design, our robust hybrid beamforming design generally improves 40% nonoutage performance at least.
The intelligent Fingerprint authentication system SecureFinger : Special issue on recent recognition technologies

Highly accurate AFIS(Automated Fingerprint Identification System) of NEC was developed in 1982 and many systems have been installed for law enforcement offices in the world. The fingerprint feature extraction and comparison algorithm used in the AFIS were modified and adjusted so as to permit authentication of individual identity. Three kinds of peripheral units, mobile PC-embedded-model, SDK (Software Development Kit) were developed. As the hardware module in the unit and model employs an MPU (Microprocessor Unit) for authentication (image capturing, feature extraction and comparison), each unit and model is an intelligent type which has all functions in one hardware module for fingerprint authentication. This fingerprint authentication system is called SecureFinger.
Monitoring Symptoms of COVID-19: Review of Mobile Apps

Background Mobile health (mHealth) apps have facilitated symptom monitoring of COVID-19 symptoms globally and have been used to share data with health care professionals and support disease prediction, prevention, management, diagnostics, and improvements in treatments and patient education. Objective The aim of this review is to evaluate the quality and functionality of COVID-19 mHealth apps that support tracking acute and long-term symptoms of COVID-19. Methods We systematically reviewed commercially available mHealth apps for COVID-19 symptom monitoring by searching Google Play and Apple iTunes using search terms such as “COVID-19,” “Coronavirus,” and “COVID-19 and symptoms. ” All apps underwent three rounds of screening. The final apps were independently assessed using the Mobile Application Rating Scale (MARS), an informatics functionality scoring system, and the Center for Disease Control and World Health Organization symptom guidelines. The MARS is a 19-item standardized tool to evaluate the quality of mHealth apps on engagement, functionality, aesthetics, and information quality. Functionality was quantified across the following criteria: inform, instruct, record (collect, share, evaluate, and intervene), display, guide, remind or alert, and communicate. Interrater reliability between the reviewers was calculated. Results A total of 1017 mobile apps were reviewed, and 20 (2%) met the inclusion criteria. The majority of the 20 included apps (n=18, 90%) were designed to track acute COVID-19 symptoms, and only 2 (10%) addressed long-term symptoms. Overall, the apps scored high on quality, with an overall MARS rating of 3.89 out of 5, and the highest domain score for functionality (4.2). The most common functionality among all apps was the instruct function (n=19, 95%). The most common symptoms included in the apps for tracking were fever and dry cough (n=18, 90%), aches and pains (n=17, 85%), difficulty breathing (n=17, 85%), tiredness, sore throat, headache, loss of taste or smell (n=16, 80%), and diarrhea (n=15, 75%). Only 2 (10%) apps specifically tracked long-term symptoms of COVID-19. The top 4 rated apps overall were state-specific apps developed and deployed for public use. Conclusions Overall, mHealth apps designed to monitor symptoms of COVID-19 were of high quality, but the majority of apps focused almost exclusively on acute symptoms. Future apps should also incorporate monitoring long-term symptoms of COVID-19 and evidence-based educational materials; they should also include a feature that would allow patients to communicate their symptoms to specific caregivers or their own health care team. App developers should also follow updated technical and clinical guidelines from the Center for Disease Control and the World Health Organization.
Design of multi-layer tri-band antenna based on half-mode technology

In this paper, a multilayer tri-band microstrip antenna for the packaging system is designed based on half-mode technology. The antenna can work at 2.4 GHz, 3.5 GHz and 5.8 GHz at the same time, which can be applied to Wi-Fi and WiMAX frequency bands. The antenna uses three layers of rectangular metal patches stacked vertically as the radiation unit to ensure that the antenna will not interfere with each other in three frequency bands. The simulation results of the relative bandwidth of the three frequency bands are 0.083% (2.39 ~ 2.41 GHz), 2.29% (3.44 ~ 3.52 GHz) and 4.14% (5.69 ~ 5.93 GHz) respectively. The gain of the antenna is 1.77 dbi at 2.4 GHz, 3.49 dbi at 3.5 GHz and 5.4 dbi at 5.8 GHz which have good radiation characteristics. This antenna is advantageous because the structure is small and it has the independent tunable ability compared to other tri-band antennas.