Miracle-dz/UniFAR-FTUs huggingface dataset:
Game Theory DVB-RCS2 Return Link Fairness Optimization Based on Timeslot Information Payload

—This paper introduces a novel algorithm modiﬁca-tion for the conventional game theory-based time slot assignment method applied to the Digital Video Broadcast Return Channel via Satellite (DVB-RCS) system. The procedure considers the spectral efﬁciency as a weighting parameter for the resulting convex optimization problem of the Nash Bargaining Solution. This approach guarantees the fulﬁllment of Quality of Service (QoS) constraints while maintaining a higher fairness measure; results show a 5% improvement in fairness, with a 73% decrease in the standard deviation between frames, also managing to reach a 12 . 5% increase in individual terminal capacity distribution satisfaction.
A study of ultrasonographic characteristics of the cervix of bitches during anoestrus, oestrus, and pregnancy

The main objective of the present study was to investigate the ultrasonographic characteristics of the cervix of bitches during anoestrus, oestrus, and pregnancy by using two-dimensional transabdominal ultrasonography. Ultrasonographic examinations were performed on 40 bitches using an ultrasound scanner (MyLab30vet, Esaote, Genoa, Italy) with a linear-array transducer (Esaote LA-522, Esaote, Genoa, Italy). According to the results, the cervix was a mild to moderate hyperechoic cylindrical structure lined by hyperechoic serosal margin in anoestrous bitches. The mean diameter of the cervix in anoestrus was 0.93 ± 0.37 cm (range, 0.59 - 1.81 cm), while the cervical canal could not be clearly demarcated by ultrasonography. However, in bitches in oestrus, the mean diameter of the cervix was 1.32 ± 0.11 cm (range, 1.2 - 1.45 cm). The cervical canal was visible as a hypoechoic irregular passage with the mean diameter of 1.5 ± 0.7 mm (range, 1.2 - 2.7 mm). In pregnant bitches, the mean diameter of the cervix was 1.57 ± 0.47 cm (range, 0.82 - 2.18 cm). The cervical canal of pregnant bitches was occluded with the cervical mucus plug which was heterogeneous echogenicity. The diameter of the cervix of pregnant bitches was signiﬁcantly higher than that of bitches in anoestrus (P=0.001). Further, it was found that the diameter of the cervix increased when the pregnancy advanced. In conclusion, this study evaluated the morphological characteristics of the cervix in bitches during anoestrus, oestrus, and pregnancy. The ﬁndings of this study can be used as useful information to evaluate the cervix of bitches in clinical reproductive practice.
Active MMIC filters with negative resistance compensation

Two tunable filters are presented for 3.8 and 3.4 GHz, based on active negative resistance loss compensation. The emphasis has been placed on the noise performance of the filters. The second and fourth-order filters have noise figures of 19 and 11 dB, respectively, being near the calculated theoretical minimum.
A New Redundant-DOF Wearable Master Device with Force Feedback

In this paper, a new redundant degree-of-freedom wearable haptic device is developed and presented, which combines the advantages of the arm exoskeleton and the desktop haptic device. The haptic device has capabilities of large working space and high stiffness, the design of the wearable can reduce operators’ fatigue and increase the comfort of the operation. This paper also includes the analysis of workspace based on the kinematic analysis. Dynamics model of the haptic device has been established to get the torques of the driven motors of every joint. Lately, the virtual prototype model was established in ADAMS to get the simulations results, which lays the foundation for further force-feedback experiments.
Experimental Evaluation of a Telecommunications Network along Railway Lines by Ad Hoc Network Technology

There are some cases where this paper would like to construct tentative communications systems easily along railway lines even if they cannot fully guarantee satisfying transmission qualities. For example, the paper needs to grasp situations of disasters or accidents which have happened at the place where not enough transmission bandwidths are secured or the transmission system itself has been damaged. Ad hoc network technologies are a candidate for constructing such tentative networks. Their standardizations are in progress and some commercial products are emerging. The paper carried out an experiment using commercial products which implemented a standardized protocol and constructed a network by wireless LAN, and confirmed that the network was easily constructed but frame loss rates and time to change routes when devices broke were insufficient for some cases. The paper therefore, tentatively made telecommunications nodes which used both wired LAN and wireless LAN. The paper confirmed that a satisfying performance was obtained until about three wireless hops even if only wireless LAN was used, and transmissions continued even when a cable or the node was damaged.
A literature review on the integration of total productive maintenance elements with ISO 9001 standard

During the recent years, a few competitive strategies such as lean manufacturing and Six Sigma are integrated by the researchers and practitioners to reap the synergy. In this direction of progress, one conspicuous absence is an integrated model of total productive maintenance (TPM) and ISO 9001 certification. In this context, this paper reports a literature review which was carried out to establish the relationship between these two strategies. To explore the feasibility of this integration, this paper reports a literature review. During this literature review, the origin, tools, characteristics and benefits of TPM and ISO 9001 certification were studied. At the end of this review, the connectivity between these two competitive strategies is explained. After describing this literature review, this paper prescribes a roadmap for integrating TPM with ISO 9001:2008 standard.
Comprehensive Overview of Basic Photovoltaic (PV) Power System

This paper gives a comprehensive review of Basic Photovoltaic (PV) Power System which can be now considered as one of the most useable renewable electrical power generation technology. This paper is intended to present a broad overview of different possible classifications of PV Power System and their main components including PV Panels, DC-DC Converters, Control System, Maximum Power Point Tracking and enhancement of basic PV Power System.
Modified Uni-Vector Field Nagivation and ModularQ-learning for Soccer Robots

The robot soccer system is being used as a test bed to develop the next generation of field robots. In the multiagent system, action selection is important for the cooperation and coordination among agents. There are many techniques in choosing a proper action of the agent. As the environment is dynamic, reinforcement learning is more suitable than supervised learning. Reinforcement learning is based on trial and error method through experience. Because of this, reinforcement learning is applied to many practical problems. However, straightforward application of reinforcement learning algorithm may not successfully scale up to more complex multi-agent learning problems. To solve this problem, modular Q-learning is employed for multi-agent learning in reinforcement methods. A modified uni-vector field is used for robot navigation. This paper discusses the Y2K2 NaroSot(Nano-Robot World Cup Soccer Tournament) robot soccer system.
Aggregate production planning using chance-constrained goal programming

Multiple objective models have frequently been proposed to assist in solving aggregate production planning problems. Although such models are an improvement over those with single objectives, demand is usually considered deterministic. For this reason, previous attempts at solving production problems have often lacked realism and could not be successfully applied in many real decision environments. This paper suggests a chance-constrained goal programming (CCGP) approach to production planning which allows the decision maker to specify both probabilistic product demands and production line operating characteristics more in keeping with actual situations. The CCGP approach is based on the sequential solution of a linear programming formulation, allowing efficient solution of large-scale real-world problems using commercially available LP codes. The procedure is demonstrated with a hypothetical example, and proper interpretation of goal achievement is discussed. The findings in the paper are applicable whet.
Concurrent packaging architecture design

Packaging is one of the primary constraints on the performance and partitioning of high density electronic systems. A concurrent design methodology for the design of the physical structure of such systems is presented here. Architecture, electrical, performance and energy management aspects are included. The CAD tool AUDiT implements this design methodology. The concurrent design capability has been illustrated using a model system derived from the high speed Digital Equipment 3000/500 (Alpha) engineering workstation. <<ETX>>
A rare presentation of mesenteric cystic lymphangioma 
in 5-year-old girl

Acute abdominal pain is a frequent event in the paediatric population and appendicitis is the most common cause. Abdominal lymphangiomas occur most frequently in the mesenterium and are usually asymptomatic. Nev-ertheless, they can manifest as acute abdomen, needing surgical treatment. We report the case of a 5-year-old female operated on due to suspicion of acute abdomen. The pathological lesion was surgically removed during the second operation. The differential diagnosis of acute abdomen should be initially focused on the most common abdominal diseases. However, rare cases, like the presented one, must also be taken into consideration. Ultrasound examination plays important role in the initial differentiation of the causes of abdominal pain.
Security in Edge-Centric Intelligent Internet of Vehicles: Issues and Remedies

Propelled by the growth of automotive industry, and the ubiquity of smart sensors, intelligent transport systems such as the Internet of Vehicles (IoV) have seen significant research interest in recent times. The emerging distributed IoV networks support real-time vehicular applications through on-device computing, communication-efficient data processing, edge computing, and cloud aggregation. While enriching the user experience by minimizing the end-to-end latency through efficient energy management, IoV deployments face the fundamental challenge of security attacks. In this article, we discuss various security attack modes in an edge-centric intelligent IoV framework, consisting of distributed smart vehicles, and remote processing units. We highlight various attack detection and mitigation mechanism for the proposed IoV framework, to address the security challenges. Finally, we shed light on several future research directions to ensure security of sensory data in edge-centric IoV systems.
Hardware and Software Environment for Self-learning in Power Electronics

The combined teaching of experimentati on and theory is essential in power electronics education. It helps to assimilate concepts and understand some real phenomena difficult to explain during the lectures. Electric simulators are very appropriate tools for teaching certain circuits due to the possibility of observing every waveform. But the final product is always a real prototype that has to be analysed and measured. In this paper, a hardware and software environment is proposed for a teaching laboratory in power electronics. Students can learn by themselves the basic concepts of the subject, measuring on a real prototype and using an electric simulator.
Attention Mechanism With Spatial-Temporal Joint Model for Traffic Flow Speed Prediction

Intelligent transportation system (ITS) plays an important role in solving today’s transportation problems, and short-term traffic flow prediction is at its core. Deep learning can extract and capture abstract high-order features, and introducing attention mechanism to improve the performance of deep learning algorithm has been verified in many fields. Due to the complexity and randomness of traffic flow, accurate traffic flow prediction is not a simple task. Reasonable use of deep learning to predict traffic flow is of great significance to the whole transportation system. In this paper, the reason of choosing recurrent neural network (RNN) as the basic network for traffic flow prediction is explained. Aiming at the problem of gradient disappearance in practical application, the long short-term memory network (LSTM) is introduced to improve the model, and the model framework, algorithm and training process are described in detail. Attention mechanism is introduced into LSTM-RNN to build a short-term traffic flow prediction model. Applying the proposed model to observed traffic flow data, we found that the proposed model has higher prediction accuracy and model efficiency.
Task-failure-driven rebalancing of disassembly lines

Many reverse-logistics systems that collect and reprocess end-of-life products require a disassembly stage. The variability of incoming products and the extent of damage, which is more likely to occur during disassembly than assembly, create significant uncertainty in disassembly tasks, namely the possibility of failed tasks. Such failures may lead to some successor tasks being infeasible, which changes the work content of downstream stations. To improve the profitability of such a disassembly line, a mixed-integer-programming-based, predictive-reactive approach is proposed. In the first step, a predictive balance is created and then, in the second step, given a task failure, the tasks of the disassembled product with that task failure are re-selected and re-assigned to the stations (i.e. the line is rebalanced). In the second step, the objective function models both the profit obtained from the disassembled product and the possible increase in any station's workload beyond the predictive cycle time. Since this rebalancing approach affects the work content of stations, a discrete-event simulation study is also carried out to analyse and compare the performance of disassembly lines for optimally found line balances (predictive and reactive). The results show that, with the proposed approach, 24–32% of the monetary throughput lost due to not taking corrective action can be recovered.
Simultaneous Sensorless Rotor Position and Torque Estimation for IPMSM at Standstill and Low Speed Based on High-Frequency Square Wave Voltage Injection

In this article, a method of simultaneous sensorless rotor position and torque estimation is proposed for interior permanent magnet synchronous machines at standstill and low speed. The proposed method estimates the torque using high-frequency inductances identified from the current variations due to high-frequency square wave voltage injections in the estimated dq-axes, which are simultaneously used for sensorless rotor position estimation. The proposed method is not dependent on the fundamental model and has taken the cross-coupling effect into consideration, allowing for low cost and fast torque estimation at standstill and low speed. Both simulations and experiments are carried out to verify the effectiveness of the proposed method.
Enhancing Stability and Robustness of State-of-Charge Estimation for Lithium-Ion Batteries by Using Improved Adaptive Kalman Filter Algorithms

The traditional Kalman filter algorithms have disadvantages of poor stability (the program cannot converge or crash), robustness (sensitive to the initial errors) and accuracy, partially resulted from the fact that noise covariance matrices in the algorithms need to be set artificially. To overcome the above problems, some adaptive Kalman filter (AKF) algorithms are studied, but the problems still remain unsolved. In this study, two improved AKF algorithms, the improved Sage-Husa and innovation-based adaptive estimation (IAE) algorithms, are proposed. Under the different operating conditions, the estimation accuracy, filter stability, and robustness of the two proposed algorithms are analyzed. Results show that the state of charge (SOC) Max error based on the improved Sage-Husa and the improved IAE is less than 3% and 1.5%, respectively, while the Max errors of the original algorithms is larger than 16% and 4% The two proposed algorithms have higher filter stability than the traditional algorithms. In addition, analyses of the robustness of the two proposed algorithms are carried out by changing the initial parameters, proving that neither are sensitive to the initial errors.
Information System Success Model in Healthcare and Medical Informatics with Open Source Software

Open source software (OSS) has attracted a lot interest among academics and practitioners from mid-1990s. However, there is insufficient attention on healthcare and medical informatics (HMI) of OSS (HMIOSS), most studies on OSS success are either qualitative or exploratory in nature. Hence, to identify the factors that influence HMIOSS success and establish generalize ability, an empirical study measuring HMIOSS success would enable HMIOSS developers and users to improve HMIOSS usage. In this study, we develop a HMIOSS success model from a previous information systems success Model incorporating the characteristics of HMI domain. This research contributes towards advancing theoretical understanding of HMIOSS success as well as offering practitioners for enhancing HMIOSS success.
Novel laser Doppler flowmeter for pulpal blood flow measurements

We have proposed and experimentally demonstrated a new configuration of laser Doppler flowmetry for dental pulpal blood flow measurements. To date, the vitality of a tooth can be determined only by subjective thermal or electric tests, which are of questionable reliability and may induced pain in patient. Non-invasive techniques for determining pulpal vascular reactions to injury, treatment, and medication are in great demand. The laser Doppler flowmetry technique is non-invasive; however, clinical studies have shown that when used to measure pulpal blood flow the conventional back-scattering Doppler method suffers from low signal-to-noise ratio (SNR) and unreliable flux readings rendering it impossible to calibrate. A simplified theoretical model indicates that by using a forward scattered geometry the detected signal has a much higher SNR and can be calibrated. The forward scattered signal is readily detectable due to the fact that teeth are relatively thin organs with moderate optical loss. A preliminary experiment comparing forward scattered detection with conventional back- scattered detection was carried out using an extracted human molar. The results validated the findings of the simple theoretical model and clearly showed the utility of the forward scattering geometry. The back-scattering method had readings that fluctuated by as much as 187% in response to small changes in sensor position relative to the tooth. The forward scattered method had consistent readings (within 10%) that were independent of the sensor position, a signal-to-noise ratio that was at least 5.6 times higher than the back-scattering method, and a linear response to flow rate.
Ultrasonic Lamb wave tomography using scanned EMATs and wavelet processing

A continuous wavelet transform has been used to analyse multi-mode Lamb wave propagation. This was applied to experimental data from non-contact electromagnetic acoustic transducers (EMATs) in thin metal plates. The technique was able to identify the presence of s 0, a 0, a 1, s 1 and s 2 modes in an aluminium plate from a single waveform, and hence to separate the modes. The technique has been applied to tomographic reconstruction of artificial defects in plates from individual modes to illustrate the usefulness of the approach.
Characteristics Analysis and Design of a Resonant dc–dc Converter With ZCS and Short-Circuit Fault Current Limiting Capability

The series-resonant dc–dc converter (SRC) which features zero current switching (ZCS) and open-loop control is widely used for providing galvanic isolation and voltage scaling. However, output short-circuit (OSC) fault is a challenge for SRC because it will cause dramatically high current in the low-impedance resonant tank. To address this issue, a resonant full-bridge dc–dc converter only using small dc-side capacitors to resonate with the resonant inductor <inline-formula> <tex-math notation="LaTeX">$L_{r}$ </tex-math></inline-formula> is proposed. Under normal condition, ZCS can be achieved. When OSC fault occurs, the output dc-side capacitor can be bypassed by the antiparalleled diodes of the full bridge and the resonant current can be limited automatically by the resonant inductor <inline-formula> <tex-math notation="LaTeX">$L_{r}$ </tex-math></inline-formula> without additional control. The operation principle of the converter under normal and faulty condition is analyzed. Based on these analyses, the switching frequency to achieve ZCS is designed. The resonant inductor <inline-formula> <tex-math notation="LaTeX">$L_{r}$ </tex-math></inline-formula> and dc-side resonant capacitors <inline-formula> <tex-math notation="LaTeX">$C_{r}$ </tex-math></inline-formula> design considerations are provided. The ZCS characteristics and the current limiting capability of the converter are verified on an experimental prototype.
Sequential Approach for Management of Renewable Natural Resources with Applications to Forestry 1

We propose a sequential approach for creation of models of management of renewable natural resources. Namely, a long-term model evaluates the basic trajectory of the system and gives restrictions from the ecological point of view, i.e. constraints for providing sustainable development. Next, a middle-term model gives local optimal planning values from the economical point of view within the previous restrictions. Afterwards, a short-term model gives further specialization of solutions for the next closer planning period. This approach can be interpreted as an example of the sequential goal pursuit. We describe the
School Counseling Interns’ Lived Experiences Addressing Social Determinants of Health

This phenomenological study explores school counselors in training (SCITs’) experiences addressing social determinants of health (SDOH), the leading causes of educational and wellness inequities. Interviews with eight SCITs revealed three core themes: (1) professional identity conflict between awareness, skills, and action; (2) social justice knowledge to practice gap; and (3) recommendations for knowledge to practice gap resolution. Themes explained participant preparedness for responding to disparities. Participants were aware of challenges related to SDOH, though struggled with addressing those challenges due to lack of preparation or perceived role constraints. Participants also experienced difficulty practically applying their understanding of social justice theory to SDOH-related challenges. The researchers noted various recommendations for how SDOH may be addressed in the counselor education curriculum and in practice.
Asymmetrical three-phase load-flow study based on symmetrical component theory

For asymmetrical three-phase load-flow study, two methods based on symmetrical component theory, the bus admittance method and the decoupling compensation method, are proposed. By using the decoupling feature of symmetrical-element models in a positive-negative-zero sequence reference frame, such as those of generators and transformers, the bus admittance method can obviously increase the speed of three-phase load flow computation without losing its accuracy. By further using the weak coupling feature of the asymmetrical transmission line model in a positive-negative-zero sequence reference frame, the decoupling compensation method breaks the three-phase coupled model into three sequence-decoupled models with the injection of certain compensation currents into both terminal buses of the line, and thus opens up a way to the utilisation of parallel processing. The validity of these methods is verified by numerical examples.