Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey of Synchronous Reluctance Machine used in Electric Vehicle

Due to more environmental problems and more attentions paid on renewable energy, electric vehicle (EV) has been a hot research topic. As a key equipment in EV, various drives have been studied. Synchronous reluctance machine (SynRM) is also studied widely as a drive in EV for its advantages. This paper presents an extensive survey on the application of SynRM in EV and reviews its working principle, various structures and control strategies.
An improved CI EKF data fusion algorithm for multi-sensor time-delay system

In order to solve the problem of time-delay in non-linear multi-sensor information fusion, a simulation model of moving target tracking in sensor networks with the time-delay state and observation system is established. Using the augmented matrix to transform the time-delay system into the non-time-delay system, an improved Covariance Intersection (CI) Extended Kalman filter (EKF) data fusion algorithm for multi-sensor systems with time-delay is presented. This method avoids calculating any two local filter error cross-covariance matrices and greatly reduces the computational complexity and time. Analysing the precision of this method, comparing the precision of improved CI EKF data fusion algorithm and the locally optimal fusion EKF algorithm. The results show that the precision of improved CI EKF data fusion algorithm is higher than that of the local EKF and close to the precision of the optimal EKF fusion.
Prediction of Teacher Enrollment for Pakistani Schools by Using SVM

 Abstract —Civilization distinguishes human being from other creatures. Civilization is adorned with education. Education uplifts not only the standard but also the historical records of nations. Teachers, students, public, government and curriculum are the main components of education. This study analyzes the number of school teachers and predicts the future annual enrollment of teachers using the SVM model (support vector machine). Time series data of 46 years (1971-2017) have been taken from the Handbook of Statistics on Pakistan Economy. Our results depict that school teachers must be further enrolled at all levels. Our method leads to good
Design and implementation of a CPS-based predictive maintenance and automated management platform

The concept of cyber-physical systems (CPSs) is a core technology indispensable to Industry 4.0. The development of an intelligent automatic operational management platform is presented in this study. The platform is used to collect on-site data, provide predictive maintenance, and monitor and control the mobile robots. For predictive maintenance, it is targeted at products from manufacturing big data to cloud computing, and predictive maintenance for all factories around the world. The efficiency of the management system is improved by the performance evaluation strategy. In the experiments, the authors implement and discuss the predictive maintenance platform with generated synthetic data and real-world data collected from a gearbox plant. The results show that the important variables possess large drops according to mean decrease Gini. A warning generation for battery simulation and manufacturing execution is also presented to demonstrate the proposed system design. The results show that the discharge curve drops sharply at the last stage, and the warning value can be set accordingly.
ConTesa: Directed Test Suite Augmentation for Concurrent Software

As software evolves, test suite augmentation techniques may be used to identify which part of the program needs to be tested due to code changes and how to generate these new test cases for regression testing. However, existing techniques focus exclusively on sequential software, without considering concurrent software in which multiple threads may interleave with each other during the execution and thus lead to a combinatorial explosion. To fill the gap, we propose ConTesa, the first test suite augmentation tool for concurrent software. The goal is to generate new test cases capable of exercising both code changes and the thread interleavings affected by these code changes. At the center of ConTesa is a two-pronged approach. First, it judiciously reuses the current test inputs while amplifying their interleaving coverage using random thread schedules. Then, it leverages an incremental symbolic execution technique to generate more test inputs and interleavings, to cover the new concurrency-related program behaviors. We have implemented ConTesa and evaluated it on a set of real-world multithreaded Linux applications. Our results show that it can achieve a significantly high interleaving coverage and reveal more bugs than state-of-the-art testing techniques.
Outage Probability Analysis for Two-Antennas MISO-NOMA Downlink with Statistical CSI

In this paper, we analyze the outage probability of the multi-user multiple-input single-output (MISO) downlink system by combining the non-orthogonal multiple access (NOMA) scheme. We derive tractable closed-form outage expressions given a minimum target rate for the individual users for the case of two antennas, by modeling cumulative distribution function (CDF) of received signal-to interference plus noise ratio (SINR). Simulation results illustrate the outage performance for different power allocation scenarios and verify the accuracy of our outage probability analysis.
A Critical Review of Mental Health Court Liaison Services in Australia: A first national survey

Mental health Court Liaison Services have emerged in Australia as a key part of the response to the over-representation of people with mental illness in the criminal justice system. These specialist services aim to intervene early in the criminal justice process by identifying mentally ill individuals at the post-charge, pre-sentence stage, providing timely advice to courts and linkage with treatment providers. To date there has been no systematic comparison of the various models of court liaison in each of the Australian jurisdictions, and little is known about their effectiveness. This article presents the findings of the first national survey of Court Liaison Services. In the absence of clear national guidelines, services have formed independently of each other, shaped by the jurisdictional legislation and health services. While services were found to have similar aims, variation exists in their human resources, clinical processes, geographic coverage, and their ability to provide equitable access.
An Order Theoretic Point-of-view on Subgroup Discovery. (Sur la découverte de sous-groupes en utilisant la théorie de l'ordre)

As the title of this dissertation may suggest, the aim of this thesis is to provide an order-theoretic point of view on the task of subgroup discovery. Subgroup discovery is the automatic task of discovering interesting hypotheses in databases. That is, given a database, the hypothesis space the analyst wants to explore and a formal way of how the analyst gauges the quality of the hypotheses (e.g. a quality measure); the automated task of subgroup discovery aims to extract the interesting hypothesis w.r. t. these parameters. In order to elaborate fast and efficient algorithms for subgroup discovery, one should understand the underlying properties of the hypothesis space on the one hand and the properties of its quality measure on the other. In this thesis, we extend the state-of-the-art by: (i) providing a unified view of the hypotheses space behind subgroup discovery using the well-founded mathematical tool of order theory, (ii) proposing the new hypothesis space of conjunction of linear inequalities in numerical databases and the algorithms enumerating its elements and (iii) proposing an anytime algorithm for discriminative subgroup discovery on numerical datasets providing guarantees upon interruption.
The Research on SAR ADC Integrated Circuit

Successive approximation ADCs are widely used in low- and medium-speed applications due to their simpler structure, fewer analog blocks, smaller area, and lower power consumption. The successive approximation ADC mainly includes a sample and hold circuit, a DAC, a comparator, a clock circuit, and a SAR register. The rationality is verified by analyzing, designing and simulating each component circuit. For the research of ADC architecture, SAR type is selected and the key circuit is optimized. Using Cadence layout research, the digital part of ADC circuit can be simulated by Quartus II software and Modelsim software, and the hybrid circuit part is simulated by Candance software PSpice A/D. About layout design, some circuits can be further verified with Proteus software.
SENSORS AS AN ENABLER FOR SELF-OPTIMIZING GRINDING MACHINES

Today, an operator performs experiments to adaptively select grinding process parameters using observations, expert knowledge, and rules of thumb. Self-optimizing grinding machines cannot use operator observations and must therefore extract enough information out of the grinding process. In this study, a holistic sensor set-up as foundation for self-optimizing machines are presented exemplarily for cup wheel grinding machines. In-process detection of grinding burn, based on temperature and gas measurements, is tested and compared. Afterwards, the influence of input variables such as feed rate and cutting speed on grinding cost, grinding burn, and surface roughness are investigated.
Cluster-based Analysis of Multi-Parameter Distributions in Cloud Simulation Ensembles

The proposed approach enables a comparative visual exploration of multi-parameter distributions in time-varying 3D ensemble simulations. To investigate whether dominant trends in such distributions occur, we consider the simulation elements in each dataset—per ensemble member and time step—as elements in the multi-dimensional parameter space, and use t-SNE to project these elements into 2D space. To ﬁnd groups of elements with similar parameter values in each time step, the resulting projections are clustered via k-Means. Since elements with similar data values can be disconnected in one single projection, we compute an ensemble of projections using multiple t-SNE runs and use evidence accumulation to determine sets of elements that are stably clustered together. We build upon per-cluster multi-parameter distribution functions to quantify cluster similarity, and merge clusters in different ensemble members. By applying the proposed approach to a time-varying ensemble, the temporal development of clusters, and in particular their stability over time can be analyzed. We apply this approach to analyze a time-varying ensemble of 3D cloud simulations. The visualizations via t-SNE, parallel coordinate plots and scatter plot matrices show dependencies between the simulation results and the simulation parameters used to generate the ensemble, and they provide insight into the temporal ensemble variability regarding the major trends in the multi-parameter distributions
How Do We Write a Nursing History of Disease

Professor Patterson's question: 'How do we write a history of disease? ' invokes a reflection on the perspective that someone interested in nursing history has to bring to the history of disease. Professor Patterson's paper reviewed American scholarship in the field. From the nursing perspective only A Midwife's Tale by Laurel Thatcher Ulrich and Susan Reverby's Ordered to Care1 could be considered to be relevant in that they contribute to a social history of nursing in relation to disease and practice. This is a lamentable deficiency in the social history of disease. There is room, therefore, for much work to be done that focuses more precisely on nursing practice in relation to disease. There has been an investigation into nursing and childhood diseases such as polio, and nurses' work in immunisation campaigns, and baby clinics. So too, nursing and public health work in the colonies (by secular nurses and missionaries) has generated a good deal of nursing scholarship and I predict good histories in these areas will be published over the next decade.2
Animation Models for Interactive AR Characters

Technological advances in virtual and augmented reality (AR) have enabled new ways for users to interact with digital characters. The use of virtual characters in our lives by means of new digital assistants, avatars, virtual pets or digital toys is rapidly increasing. Besides the visual fidelity of virtual characters, motion plays a crucial role in interactive applications. However, the characters in AR often have limited or no responsiveness to the user’s presence and to other stimuli— i.e., the user’s movements or changes in the real-world environment. In this thesis, we investigated several approaches in modeling the characters’ motions. The focus was particularly on the methods that could enable virtual characters to give human-like responses during the interactions with users and real-objects. Building character animations is a well-established field in the film and gaming industries. Characters are designed by artists, rigged to define joint movements and then animated with careful timing to match animation scripts. However, unlike in traditional video games or animation movies, the character’s surrounding and the user input may not be predefined in AR applications. Integrating physicsbased approaches into characters’ motion models has a particular advantage in interactive AR applications as they can generate motions that are online and responsive to environmental changes and user inputs. In this thesis, we explore methods for motion models that allows virtual characters human-like responses to interactions with users and real-objects. Augmented reality has the power to turn our physical environments into digital gaming platforms by combining real and virtual objects. Besides focusing on the physical aspects of the motion that supports the interaction with real objects and natural responses to perturbations, perception capabilities like vision-based human pose estimation, object recognition and reconstruction are investigated. A first step in the direction of interactive AR characters is taken in this thesis that can understand and react to environmental changes and user’s behaviors. The user can use his or her own body movements and physical objects in the surrounding in the most natural and intuitive way to interact and play with AR characters. Finally, two frameworks are presented that incorporate digital characters and costumes into selfie settings in AR, which allows virtual characters to mimic the user’s pose, or the user to wear characters’ costumes. The approaches utilize
Evaluation review of effectiveness and security metrics performance on information technology domain

Information Technology (IT) development is the vital required for human life activities in this global era. This implementation of IT system has becomes competitive among developers to increase the quality of system performance. In order to discover the IT performance of system, it neccesary to evaluate the IT implementation performance. It determines the anticipated system output to prepare to enhance the application performance. In this paper the evaluation performance that is reviewd are effectiveness and security metrics because both of evaluations able to improve the development and protection of system. Therefore, this paper classifies some IT domain development that used in term of effectiveness and security metric approach from previous researchers’ effort. It is categorized the domain based on both evaluation term of effectiveness and security metrics from specific parameter their used. The concern of this paper is to discover the important effectiveness and security metrics in IT domain performance that is anticipated to achieve expected performance.
Co2-Pneumoperitoneum in Laparoscopic Surgery: Pathophysiologic Effects and Clinical Significance

Background: Knowledge of the pathophysiological basis of laparoscopic procedures, in particular the impact of CO2pneumoperitoneum (PNP) on the body, can prevent onset of complications during laparoscopy. Design and Methods: Standard intra-abdominal pressure (IAP), which is used during laparoscopic surgery, is 12 to 15 mm Hg. The direct effect of CO2-pneumoperitoneum is a consequence of the mechanical action of the gas, and increased intra-abdominal pressure. The indirect effect of CO2-pneumoperitoneum caused by the absorption of gas from the abdomen. Analysis of articles that evaluated the effects of CO2-pneumoperitoneum on the body and intra-abdominal organs contributes to an even better use of the laparoscopic method. Results: The results of numerous experimental and clinical studies have confirmed that increased IAP and CO2-pneumoperi toneum intraoperatively causing reduction the portal venous blood flow, increasing venous stasis, reduced glomerular filtration, reduced Tiffeneau-index and pulmonary compliance what it can lead to hemodynamic and cardiac disorders. Consecutive intraoperative acidosis and hipercarbia impact the function of intra-abdominal organs and heart. Conclusion: To avoid the side effects of CO2-pneumoperitoneum, which is important in patients with ASA II and more often as necessary to be operate with low pressure (IAP: 6-8 mm Hg) or use gasless laparoscopy.
Hepatic and splenic trauma

The spleen and liver are two organs commonly injured in various forms of abdominal trauma. Their relative size, relatively fixed positions, and abundant vascular supply make them prone both to injury and potential sources of catastrophic haemorrhage. With the evolution of computed tomography (CT), there has been a paradigm shift in the management of such injuries from operative to non-operative means. Advances in imaging techniques have also enabled clinicians to observe such patients for development of complications, and when appropriate, utilise the repertoire of interventional radiology techniques available. This review aims to summarise the epidemiology of splenic and hepatic trauma, the mechanisms of trauma and the classifications used in describing these injuries. The role of commonly used imaging modalities, namely ultrasound and CT, both in the acute setting and in observation of these patients for delayed complications is described, and finally a brief description of the current management strategies of such injuries is given.
Factores asociados a la calidad de vida en el cáncer oral

Introduccion y objetivos: El cancer oral es el mas comun de los canceres de cabeza y cuello. Los tratamientos utilizados para su curacion pueden tener un impacto negativo en la vida diaria del paciente. Percepciones subjetivas como la calidad de vida relacionada con la salud (CVRS) o la calidad de vida oral (CVO) estan ganando importancia como medidas de resultado en esta patologia. Los objetivos del estudio fueron: comparar la CVRS y la CVO de pacientes con cancer oral y orofaringeo al menos 6 meses despues de ser tratados con una poblacion libre de esta enfermedad y analizar los factores influyentes en la CVRS y CVO de los supervivientes del cancer oral. Conclusiones: Al menos 6 meses despues del tratamiento, los pacientes con cancer oral tenian peor CVO, peor CVRS con respecto a los parametros fisicos y similar CVRS con respecto a los parametros psicologicos que la poblacion general. El sexo y la edad son variables independientes que afectan de manera significativa en la CVRS y en la CVO en los sobrevivientes de cancer oral. Los dientes funcionales posteriores, el rendimiento masticatorio y el estado nutricional son otras variables independientes asociadas a la CVO en los sobrevivientes de cancer oral. El estadio clinico es la unica variable clinica independiente asociada a la CVO, en el analisis ajustado. Bibliografia consultada: 1. Omura K. Current status of oral cancer treatment strategies: surgical treatments for oral squamous cell carcinoma. Int J Clin Oncol 2014;19:423-30. 2. Rogers SN. Quality of life perspectives in patients with oral cancer. Oral Oncol, 2010;46:445-7. 3. Djan R, Penington A. A systematic review of questionnaires to measure the impact of appearance on quality of life for head and neck cancer patients. J Plast Reconstr Aesthet Surg 2013;66:647-59. 4. Montero J, Bravo M, Albaladejo A. Validation of two complementary oral-health related quality of life indicators (OIDP and OSS 0-10) in two qualitatively distinct samples of the Spanish population. Health Qual Life Outcomes 2008;18:101.
Opportunities and Challenges of Unmanned Aircraft Vehicles Networking in Confrontation Environment: Collaborative and Reliable Communication with Intelligence

With a wide range of applications of artificial intelligence (AI) technology in communication networks, collaborative and reliable communication with intelligence has enormous potential to improve the performance of unmanned aerial vehicles (UAVs) in complex confrontation environment. Two typical application scenarios of UAVs, assisted communication and swarm communication, are introduced after discussions of characteristics. In details, the preliminary network architecture is given to improve the adaptability in different scenarios. Then, combined with the characteristics of the UAVs and the anti-UAV countermeasures, the opportunities and challenges in UAVs cooperative communication are analyzed. Finally, highlighting the key design considerations of the AI technology gives possible solutions correspondingly, which deserves to be exploited for the cooperative and reliable UAVs’ communication.
A concept paper on the impacts of individual gamification elements on user’s intrinsic motivation and performance

Gamification is a growing trend that has the potential to improve user’s motivation and performance in e-learning. However, it is still heavily debated as there is an ongoing discussion within the gamification community whether individual gamification elements may actually weaken or improve intrinsic motivation and performance. To date, research on individual gamification elements is still yet underexplored making it difficult to understand whether individual gamification elements may prove beneficial or harmful to user’s intrinsic motivation and performance. Therefore, this concept paper is intended to explore the effects of three commonly employed game elements namely points, leaderboard, and badges on intrinsic motivations and performances in a flow experience perspective. It is to hope that through this study, a clear understanding of individual gamification elements can be achieved and more in-depth work can be done in the future.
Doppler Influence on Waveform Orthogonality in 79 GHz MIMO Phase-Coded Automotive Radar

Utilization of phase-coded waveforms in automotive MIMO radars for short to medium range applications is studied. Performances of three most-promising binary code families (Gold, APAS and ZCZ sequences) are compared. Design trade-offs of practical implementation of phased-coded waveforms for MIMO radar are analyzed for the first time for a possible future System on Chip implementation. Orthogonality of the waveforms in case of moving targets is analyzed. The implications of the code properties for the Range-Doppler map, as well as the Range-Angular map, are pointed out. Doppler frequency shift impact on such performance indicators as the target peak power and range sidelobe levels in the range-Doppler plane, as well as the range and azimuth sidelobe behavior, and the angular error in the azimuthal plane have been comprehensively studied for the first time. It is shown that the time-staggered transmit scheme with autocorrelation properties only (while introducing azimuthal errors) results in improved performance compared to code division multiplexing with auto- and cross-correlation properties.