Miracle-dz/UniFAR-FTUs huggingface dataset:
Potential of Solar Farm Development at UTM Campus for Generating Green Energy

Energy is an important element in human life. Previous study discovered that buildings consumed more than 40% of global energy mainly electricity and emit 1/3 of global greenhouse gas through combustion of fossil fuels for generating electricity. Nowadays, global warming come to be a major issue facing the world and it leads to a better awareness about renewable energies as alternatives in generating electricity. In certain countries, solar farm has been adopted as an alternative in producing electricity. UTM spent millions of money every year for electricity bills and UTM could consider solar farm as an energy option in generating green electricity due to suitable climate and huge land bank. Governments incentives and decreasing PV panel price are opportunities to be appreciated for UTM to implement solar farm. However, high initial investment is needed to construct the solar farm. Additionally, decision will be based on financial benefits of the solar farm development. The aim of this study is to identify potential of solar farm implementation in generating green electricity. Data will be acquired via literature review, questionnaire survey, record review, and expert interview. Calculations on payback period and net present value were made based on interview data to identify potential of investment for solar farm. The study outlines the suitability factors for UTM to implement solar farm, at the same time financial benefits of solar farm implementation is portrayed.
Dynamic modelling of a unified power flow controller

A method to regulate the unified power flow controller (UPFC) to improve the dynamic performance of power systems is proposed in the paper. The series voltage responds to the power variations of the transmission line, while the shunt compensation is controlled to maintain the power system bus voltage and to stabilise the DC link of the UPFC. Decoupled control algorithms for active and reactive power are developed. A nonlinear dynamic model of the power network is established for transient studies. The small-signal model is derived using linearisation and network reduction. An integrated formulation can be achieved which represents the dynamics of the generators, loads and the UPFC. The effectiveness of the UPFC and the accuracy of the analytical models are examined using numerical examples.
RESONANCE DRIVING TERM EXPERIMENTS: AN OVERVIEW

The frequency analysis of the betatron motion is a valuable tool for the characterization of the linear and non-linear motion of a particle beam in a storage ring. In recent years, several experiments have shown that resonance driving terms can be successfully measured from the spectral decomposition of the turn-by-turn BPM data. The information on the driving terms can be used to correct unwanted resonances, to localize strong non-linear perturbations and provides a valuable tool for the construction of the non-linear model of the real accelerator. In this paper we introduce the theory, the computational tools and we give a review of the resonance driving terms experiments performed on different circular machines.
Exercise as a Peripheral Circadian Clock Resynchronizer in Vascular and Skeletal Muscle Aging

Aging is characterized by several progressive physiological changes, including changes in the circadian rhythm. Circadian rhythms influence behavior, physiology, and metabolic processes in order to maintain homeostasis; they also influence the function of endothelial cells, smooth muscle cells, and immune cells in the vessel wall. A clock misalignment could favor vascular damage and indirectly also affect skeletal muscle function. In this review, we focus on the dysregulation of circadian rhythm due to aging and its relationship with skeletal muscle changes and vascular health as possible risk factors for the development of sarcopenia, as well as the role of physical exercise as a potential modulator of these processes.
A Single Layer Dual-Band CP Microstrip Antenna for GPS and DSRC Applications

A simple integration design of a single layer, dual-feed circular polarization (CP) microstrip antenna for Global Positioning System (GPS) and Dedicated Short-Range Communication (DSRC) applications is presented. The GPS antenna element is excited by a square patch embedded with a corner-truncated square slot; while the DSRC antenna element is a usual corner-truncated square patch that fits perfectly into the slot with a small gap between them. The experimental results show that when loaded with a superstrate (protective cover) provided, the CP performances of the GPS antenna element are only slightly altered while apparent improvement including radiation pattern and peak gain for the DSRC antenna element is observed. Furthermore, the isolation between both feeding ports is well below –23 dB. Hence, this compact antenna design is suitable for mounting onto any vehicle that requires both GPS and DSRC services.
Active Tip Pointing Control of a Lightly Damped Beam using Integral-Derivative Feedback Control

This paper presents analysis on the performance and stability of an integral-derivative feedback system for active tip pointing control of a very flexible and slender cantilever beam. Since a piezoceramic PZT actuator at the fixed-end and a non-contacting displacement sensor at free-end of the beam are used for the control, the non-collocation of the sensor and the actuator makes that the plant is a non-minimum phase system. So this tip pointing control for a lightly damped beam requires a careful consideration on robust stability. Although the integral-derivative controller is simple to implement and its performance is modest, it can provide very robust stability. This is really important in some critical control systems. After computer simulation, it is observed that the integral-derivative controller can reduce the settling time to 50 % with robust stability and control gains. The stability and performance of the control systems in terms of the time domain and the frequency domain are discussed in detail. Thus the integral-derivative controller could be very effective to a tip pointing control of a flexible cantilever beam.
Variational Bayesian Learning for Decentralized Blind Deconvolution of Seismic Signals Over Sensor Networks

This work discusses a variational Bayesian learning approach towards decentralized blind deconvolution of seismic signals within a sensor network. Blind seismic deconvolution is cast into a probabilistic framework based on Sparse Bayesian learning developed for blind image deconvolution. The posterior distribution of the signals of interest is then approximated using a variational Bayesian method. Depending on a particular form of selected variational factors, the scheme is shown to generalize the state-of-the-art distributed seismic blind deconvolution algorithm. The algorithm operates by repeatedly alternating between two stages: (i) estimation of seismic source wavelet and (ii) reflectivity estimation. The wavelet is estimated in a distributed fashion using Alternating Direction Method of Multipliers. Based on this estimate, each sensor then locally obtains a sparse reflectivity estimate. Numerical evaluation with synthetic seismic data shows that the proposed method outperforms existing deconvolution algorithms in a high signal-to-noise ratio (SNR) region. In low SNR regime a higher sensitivity of sparse Bayesian learning regarding model mismatches in the estimated source wavelet is observed. Also, processing of seismic data generated with an acoustic wave equation showed that the proposed method is able recover the original reflectivities more accurately, with more distinct support of the reflectivities, as compared to existing methods despite present model mismatches. The algorithm is also applied to the estimation of real seismic data, and shows improved performance as compared to state-of-the-art estimation method.
Frequency Effect on SEU of D Flip-Flop

At present, the research on the radiation-harden ability is the hot spot in the field of aerospace devices. In the paper, one commercial D flip-flop chain and one radiation-harden D flip-flop chain are chosen to be tested on the five conditions of different work frequency in the range of 100k~100M. The test would help us to study the frequency effect on SEE. The result shows that when the work frequency increases 103 times, the upset threshold of commercial D flip-flop chain is almost unchanged, but the saturation cross section of the single event upset (SEU) increases about 7.13 times. Compared with radiation-harden D flip-flop chain, the reinforced chain has higher upset threshold, lower upset saturation cross section, and the saturation cross section increases about 3.71 times when the work frequency increases 103 times.
Cross-Entropy Learning for Aortic Pathology Classification of Artificial Multi-Sensor Impedance Cardiography Signals

An aortic dissection, a particular aortic pathology, occurs when blood pushes through a tear between the layers of the aorta and forms a so-called false lumen. Aortic dissection has a low incidence compared to other diseases, but a relatively high mortality that increases with disease progression. An early identification and treatment increases patients’ chances of survival. State-of-the-art medical imaging techniques have several disadvantages; therefore, we propose the detection of aortic dissections through their signatures in impedance cardiography signals. These signatures arise due to pathological blood flow characteristics and a blood conductivity that strongly depends on the flow field, i.e., the proposed method is, in principle, applicable to any aortic pathology that changes the blood flow characteristics. For the signal classification, we trained a convolutional neural network (CNN) with artificial impedance cardiography data based on a simulation model for a healthy virtual patient and a virtual patient with an aortic dissection. The network architecture was tailored to a multi-sensor, multi-channel time-series classification with a categorical cross-entropy loss function as the training objective. The trained network typically yielded a specificity of (93.9±0.1)% and a sensitivity of (97.5±0.1)%. A study of the accuracy as a function of the size of an aortic dissection yielded better results for a small false lumen with larger noise, which emphasizes the question of the feasibility of detecting aortic dissections in an early state.
Structural quantification of the ripple effect in the supply chain

In recent years, remarkable advancements have been achieved in quantitative analysis methods for supply chain design (SCD). Typically, cost or service level optimisation has been included in the objective functions. At the same time, supply chain managers face the ripple effect that arises from vulnerability, instability and disruptions in supply chains. This research aimed to quantify the ripple effect in the supply chain from the structural perspective. The research agenda of this study includes issues of integrating operability objectives as new key performance indicators, e.g. resilience, stability, robustness into SCD decisions. The research is based on a simultaneous consideration of both static structural properties of SCD and execution dynamics subject to uncertainty and disruptions. Due to high dimensionality of real SCD problems, such integration can hardly be implemented in only one model. In this study, an original two-model multi-criteria approach is proposed in order to assess the potential ability of an SCD to remain stable and resilient. This modelling approach is based on a combined application of a static and a dynamic model. A multi-criteria approach relies on the analytic hierarchy process method. The results of this research can be used as an additional quantitative analysis tool in order to select an SCD. An additional application of the developed method is that it can be used at the control stage in order to adapt supply chain execution subject to the achievement of desired economic performance.
Experimental study on channel crosstalk due to fiber four-wave mixing around the zero-dispersion wavelength

Channel crosstalk due to fiber four-wave mixing (FWM) in multichannel systems operated around the zero-dispersion wavelength is experimentally studied. After determining the wavelength at which FWM light is most efficiently generated, the FWM efficiency is measured for possible frequency combinations which generate FWM light at that wavelength. Using these data, FWM crosstalk in multiwavelength systems is evaluated. The results show that actual crosstalk, is less than the value estimated by the theoretical model assuming the uniformly distributed chromatic dispersion for 80-km-long fibers. It is concluded that the theoretical model can be applied to system design dealing with the worst condition. >
WWAN printed monopole slot antenna with a parallel‐resonant slit for tablet computer application

The use of a parallel‐resonant (PR) slit for dual‐band bandwidth enhancement of a small‐size printed monopole slot antenna to achieve the wireless wide area network operation in the tablet computer is demonstrated. The antenna is easy to fabricate by printing on a thin FR4 substrate of size 10 × 45 mm2. The PR slit, mainly configured as a spiral shape to occupy a small area of about 6.5 × 6.5 mm2 on the FR4 substrate, generates two parallel resonances at about 1.2 and 2.5 GHz to, respectively, result in dual‐resonance excitation of the quarter‐wavelength and half‐wavelength modes of the monopole slot at about 0.9 and 1.9 GHz. In this case, two wide operating bands are obtained to, respectively, cover the 824–960 and 1710–2170 MHz bands. That is, with the dual‐band bandwidth enhancement contributed by the PR slit, the proposed antenna can cover the GSM850/900/1800/1900/UMTS bands with a small planar size. Details of the proposed antenna are described in the article. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:40–45, 2013; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.27273
Prevalence of Multidrug-Resistant Tuberculosis in HIV/Tuberculosis Co-Infected Patients

Tuberculosis (TB) is a common opportunistic infection in human immunodeficiency virus (HIV)-infected patients. Patients with multidrug-resistant (MDR)-TB have poor outcomes. This study aimed to determine the prevalence of MDR-TB in HIV/TB co-infected patients in the Korea. We reviewed the medical records of HIV/TB co-infected patients at two university hospitals between January 1998 and December 2020. During the study period, a total of 87 HIV/TB co-infected patients were identified, and drug susceptibility test results were available for 44 of them. The prevalence of MDR-TB in the study population was 15.9% (7/44, 95% confidence interval, 5.1 - 26.7).
Application of simulation modelling to harbour operations

This paper focuses on the use of computer simulation to model harbour operations at the Port of Dover. The objective was to determine the maximum acceptable number of ferry movements in the manoeuvring area off the Eastern Docks. A three-stage methodology was used for the development of the model to ensure the success of the project. During the first stage, port operations data were closely studied to isolate normal operations under ideal conditions from the more uncommon operations and incidents. The second stage of the work involved a manual simulation exercise that provided an opportunity to initiate a discussion between the ferry operators. This further served as a validation exercise for the data gathered during the previous stage. Finally, a computer model of the Eastern Docks was built using Arena simulation software to mimic the ferry movements. The simulation model was then used as a research tool to observe and quantify the effects of variations to the port operational practices and traffic leve.
Optimization Approach for Long-Term Planning of Charging Infrastructure for Fixed-Route Transportation Systems

As the electrification of the transportation sector advances, fleet operators have to rethink their approach regarding fleet management against the background of limiting factors, such as a reduced range or extended recharging times. Charging infrastructure plays a critical role, and it is worthwhile to consider its planning as an integral part for the long-term operation of an electric vehicle fleet. In the category of fixed route transportation systems, the predictable character of the routes can be exploited when planning charging infrastructure. After a prior categorization of stakeholders and their respective optimization objectives in the sector coupling domain, a cost optimization framework for fixed route transportation systems is presented as the main contribution of this work. We confirm previous literature in that there is no one-fits-all optimization method for this kind of problem. The method is tested on seven scenarios for the public transport operator of Darmstadt, Germany. The core optimization is formulated as a mixed integer linear programming (MILP) problem. All scenarios are terminated by the criterion of a maximum solving time of 48 h and provide feasible solutions with a relative MIP-gap between 7 and 24%.
Management of post-production wood waste in the aspect of circular economy

Management of post-production wood waste in the aspect of circular economy. Sustainable resource management involves turning waste into resources. The estimation of various waste streams and their potential use as secondary raw materials underlies the circular economy. The management of wood waste in terms of the Circular Economy should assume material use of this waste before energy use. One of the possibilities of material management of this waste is the use of biological treatment through composting. Input materials for the composting process should have technological and physical-chemical characteristics, respectively. The aim of this study was to characterize the wood raw material (wood waste as a by-product) and qualify it for the composting process on the basis of its composition. Based on the literature research, it was found that there is possibility of using these wastes for management through biological disposal. The obtained composts from wood waste can be used as a raw material to supply the soil with humic substances and mineral compounds.
Research on Simulation of Motion Compensation for 8×8 Omnidirectional Platform Based on Back Propagation Network

In order to reduce the influence of slippage and improve the accuracy of 8×8 omnidirectional platform motion, this paper analyses the kinematic characteristic and builds the dynamic virtual model. A method of Back Propagation(BP) network is used to nonlinear motion compensation. Comparing simulation results before with after compensation, the data show that motion errors can be reduced, which indicates that the method is effective.
Technological progress spillover effect in Lithuanian manufacturing industry

Research background: Various methods for technological progress assessment and evaluation exist in the context of economic development. Each of the methods possesses distinct advantages and disadvantages in analysis of technological progress fluctuations. For most neoclassical growth theories, technological progress measures are included as exogenous variables, thus excluding evaluation of factors influencing technological progress variation throughout time. Purpose of the article: The aim of this article is to offer improvements on classical technological progress evaluation methodologies for manufacturing industries, separating effect of intersectoral technological progress spillover effect from internal factors influencing technological progress growth and perform analysis in the case of Lithuanian manufacturing industry. Methods: Earlier research papers used linear time series regression and vector autoregression methods to assess technological progress values and define equations explaining effect of different manufacturing level indicators on technological progress measure growth. This research paper uses results of previously mentioned methods and performs simulation analysis applying agent-based modelling framework. Findings & value added: The conducted vector autoregression analysis has showed that two variables which influence technological progress most significantly are labor productivity measure and gross profit value. Sensitivity analysis emphasizes that effect of these two variables on technological progress growth is substantially different. Increase in gross profit value affects technological progress growth for wider range of sectors from Lithuanian manufacturing industry (15 out of 18 analyzed sectors? technological progress measure values are affected by changes in gross profit, while changes in labor productivity influence technological progress values in the case of 9 sectors). Rising gross profit values also produce intersectoral technological progress spillover effect more significantly, while growth in labor productivity measure has stronger effect on technological progress fluctuations for sectors which are able to exploit this effect. Presented research suggests improved methodology for intersectoral technological progress spillover effect assessment in the context of manufacturing industries.
Effectiveness of the Katy Freeway HOV-Lane Pricing Project Preliminary Assessment

The QuickRide program, implementing priority-lane pricing on the Katy high-occupancy vehicle (HOV) lane in Houston, Texas, is described. The program allows two-person carpools to use the HOV lane for $2.00 during peak periods, when the lane has a three-or-more person restriction. The use of QuickRide during its first 6 months is reported, and an analysis of the program’s effectiveness is presented. QuickRide usage and data from before and after implementation are employed to analyze users’ travel patterns, observed travel time-savings, and changes in person-throughput in the Katy Freeway corridor. The results of this analysis show that the participation in the QuickRide program is too low to observe significant impacts on travel speeds and person-throughput in the general-purpose lanes and the Katy HOV lane. Also, the analysis indicates that use of the QuickRide program reached a plateau about two months after start-up. Participants seem to be using QuickRide occasionally or infrequently, and a majority of the participants do not use it at all in any given week. Most of the QuickRide users appear to be previous two-person carpool commuters, with a substantial minority of single-occupant vehicle (SOV) drivers now forming carpools to participate. Higher vehicle-occupancy modes are not losing many patrons to the QuickRide program. An analysis shows that travel time-savings for participants are substantial and are worthwhile for two-person carpools, with a value of time exceeding $6.57/hr. However, the analysis also indicates that, at this initial stage, the observed changes in vehicle- and person-throughput are not statistically meaningful. To improve participation in the program, a lower fee is recommended, and marketing efforts should be enhanced, especially to SOV drivers.
Conceptual Design of a Passive Arm Orthosis

For people suffering from neuromuscular diseases there is a need for a device to support the weight of their arm against gravity and allow either their residual muscle force or external power to position the arm in space. Many of the current assistive devices are externally powered, tend to be very bulky, and have poor aesthetics. The non-powered devices available suffer from limited range of motion and several other inconveniences. Home visits to patients suffering from SMA (spinal muscular atrophy) were made, and a literature search was performed to assess adequate design specifications, based mainly on range of motion, activities of daily living, and home environment. This paper presents a statically balanced, non-powered arm support design, which compensates the weight of the human arm against gravity in all of the four degrees of freedom of the human arm. © 2002 ASME