Miracle-dz/UniFAR-FTUs huggingface dataset:
Experiments with Josephson Junctions Mixers

Josephson junctions (JJ) mixers have been developped and in the millimeter (185-270 GHz) and in the sub-millimeter range (345 GHz, 1000 GHz). Pointcontact devices have shown the best noise temperatures (Tsys = 420 K at 230 GHz) but are unreliable for practical operations. The developped planar junctions have gown so far competitive performance with respect to cooled Schottky barrier diode mixers e.g. Tsys = 1600 K at 345 GHz.
Technology Acceptance: Course and Teaching Surveys Case Study at Sultan Qaboos University

Course and teaching surveys (CTS) are an integral part of academic life in institutions of higher education. CTS are conducted with the aim of informing the University's commitment to continuous improvement in the delivery of high quality learning experiences for students. They are used also to gauge the students’ satisfaction with the course materials and the instructor(s) and to provide feedback to the instructor(s). Paper based surveys, for historical reasons, are frequently used for this task. With the rolling out of low cost and accessible web based systems, it is now possible to deploy computer-based instead of paper-based surveys. Paper based surveys present a problem due to the extensive amount of paper handling required, and offer greater potential for abuse by certain individuals. Electronic surveys facilitate more efficient development, distribution and reporting processes, but have some issues with motivating student responses. The objective of this research is of two folds; first, to explore the usefulness and effectiveness of using the web-based surveys in contrast to the paper-based ones by obtaining the opinions of the stakeholders (students, faculty members and staff); and secondly to investigate the causes behind the low number of students attempting the web-based surveys in comparison to the paper-based. Interviews with stakeholders) give different perspectives on this matter. Experience with a paper based survey, and the implementation of an electronic replacement at Sultan Qaboos University (SQU), allows the two approaches to be compared. The paper also investigates the acceptability and willingness of the students to use the newly created web-based survey. Many researchers have written about the Technology Acceptance Model (TAM), and some have provided extensions to the initially proposed model. In this paper we present a case study confirming the Perceived Usefulness of Technology (PUT) component of TAM, and how this factor influences a customer’s willingness to use a technology. The study showed clearly that the web-based CTS have much more advantages over the paperbased ones. Furthermore, if a user does not believe a technology is useful he/she will not use it. Many students claimed that they believe that the CTS have no benefits if there are not actions to be taken by the administration. The paper concludes by providing some recommendations to encourage people to use the technology under discussion, an on-line survey service.
Training for Success: A Comparison of Anti-Fraud Knowledge Competencies

Abstract : The United States Air Force (USAF) spends billions of dollars each year on procurement contracts ranging from simple services to major weapons systems acquisitions. While procurement spending provides the USAF with access to specialized services that would not normally be available within the Department of Defense, procurement fraud is an unfortunate byproduct of the acquisition process. As the primary agency responsible for investigating incidents of major procurement fraud in the USAF, the Air Force Office of Special Investigations (AFOSI) has developed and implemented a number of specific training programs that focus on anti-fraud and financial crimes education for the special agents assigned to conduct fraud investigations. In an effort to foster continued program improvement, this research compared AFOSI anti-fraud training curriculum and certification requirements with the professional standard anti-fraud certification requirements established by the Association of Certified Fraud Examiners (ACFE). The comparison identified gaps and overlaps between the AFOSI training requirements and the ACFE certification requirements. This research identified that approximately two-thirds of the knowledge competencies overlapped between the two sets of requirements. The overlaps implied a common understanding between the two organizations regarding the knowledge competencies necessary for an individual to possess in order to adequately investigate fraud. The gaps in knowledge competencies between the two organizations were attributed to differences in purview, organizational mission, and jurisdiction between the AFOSI and the ACFE.
TRACKING CONTROL OF WHEELED MOBILE ROBOT WITH MODEL UNCERTAINTIES AND INPUT DISTURBANCE: A NOVEL APPROACH WITH DISTURBANCE ESTIMATION AND ARBITRARY CONVERGENCE TIME CONTROLLER

Xe tự hành đã được sử dụng rộng rãi trong thực tế và chúng thu hút được nhiều sự quan tâm từ những nhà nghiên cứu do tính ràng buộc không tích phân được, tính phi tuyến và tải bất định của chúng. Trong bài báo này một phương pháp điều khiển bám mới được đề xuất cho xe tự hành với mô hình bất định và có nhiễu đầu vào. Phương pháp mới này dựa trên một bộ quan sát nhiễu đầu vào và bộ điều khiển có thời gian đáp ứng tùy ý. Bất định của mô hình và nhiễu đầu vào sẽ được bù bằng bộ quan sát nhiễu trong khi đó sai lệch tốc độ sẽ tiến đến không trong một khoảng thời gian xác lập cho trước bởi bộ điều khiển thời gian hữu hạn tùy ý, bộ điều khiển này sẽ cải thiện chất lượng điều khiển của hệ kín. Tính hiệu quả của phương pháp được kiểm chứng thông qua mô phỏng số.
An improved cooperative adaptive cruise control (CACC) algorithm considering invalid communication

For the Cooperative Adaptive Cruise Control (CACC) Algorithm, existing research studies mainly focus on how inter-vehicle communication can be used to develop CACC controller, the influence of the communication delays and lags of the actuators to the string stability. However, whether the string stability can be guaranteed when inter-vehicle communication is invalid partially has hardly been considered. This paper presents an improved CACC algorithm based on the sliding mode control theory and analyses the range of CACC controller parameters to maintain string stability. A dynamic model of vehicle spacing deviation in a platoon is then established, and the string stability conditions under improved CACC are analyzed. Unlike the traditional CACC algorithms, the proposed algorithm can ensure the functionality of the CACC system even if inter-vehicle communication is partially invalid. Finally, this paper establishes a platoon of five vehicles to simulate the improved CACC algorithm in MATLAB/Simulink, and the simulation results demonstrate that the improved CACC algorithm can maintain the string stability of a CACC platoon through adjusting the controller parameters and enlarging the spacing to prevent accidents. With guaranteed string stability, the proposed CACC algorithm can prevent oscillation of vehicle spacing and reduce chain collision accidents under real-world circumstances. This research proposes an improved CACC algorithm, which can guarantee the string stability when inter-vehicle communication is invalid.
Development of household savings and debts in small open economies during the global pandemic COVID 19

Research background: Global pandemics, like other crises, is reflected in financial decision-making. For many individuals, the crisis represents a loss of confidence in the economy; fears of losing their jobs, and by analogy, subjects assume a deterioration in their own economic situation. In relation to income shocks, consumers exhibit three types of financial behavior: realizing consumption, generating debt or generating savings. The growth of savings with the entrepreneur's investment restraint, increasing the debt burden significantly affects the social sphere and the economic competitiveness of the region in the global space. Purpose of the article: The article deals with a comparison of the development of savings and household debts in Czechia during the economic crisis and the development during the pandemic. At the same time, the analysis includes a comparison of the values f the development of savings and debts with the development of the consumer confidence indicator in the given period. Methods: The main method of the paper is analysis, comparison of data and prediction of the development of quantities. Quarterly and monthly data for the period 2009 - 2013 and 2020 - 2021 were used for the analysis. Basic for analysis and comparison was represented by the ARAD databases, the Czech Statistical Office, etc. Findings & Value added: The results show that the more dynamic growth of savings in the pandemic was caused by limited consumption, but also by wage growth. Debt growth was more pronounced during the economic crisis, during the pandemic it is a reflection of housing needs and developments in the real estate market.
Design of robust speed and slip controllers for a hybrid electromagnetic brake system

Introduced by the authors, the hybrid electromagnetic brake (HEB) has considerable advantages over conventional friction and hybrid brakes. One of its advantages is the controllability of the brake system even when the HEB is integrated in a vehicle. Therefore, in this paper, robust speed and slip control schemes for HEB systems taking into account the brake and vehicle dynamics are developed for uncertain system parameters, and unknown external disturbance conditions, owing to neural networks learning and adaptation abilities. The presented robust control schemes exhibit advantages such as not requiring exact information about the brake and vehicle parameters for the controller design, and that the control algorithm is capable of efficiently tracking performance while ensuring the stability of the closed-loop system. The controllers are suitable for many vehicle active safety control systems such as, adaptive cruise control, anti-lock braking systems, electronic stability control, rollover prevention and autonomous vehicle operations. Both simulations and experiments are presented to show the controllers performances and the effectiveness of the presented control schemes.
A Multilevel Decision Support System for the Financial Justification of Automated Flexible Manufacturing Systems

A decision support system (DSS) can be used to evaluate the conversion of batch production processes to automated flexible manufacturing processes. In this DSS, we utilize three levels of analysis: (1) the long-term, firm-planning level, (2) the medium-term, factory-operating level, and (3) the automated-work-cell-design level. An example DSS uses currently available software for the medium- and short-term levels. It can be used to examine detailed designs of work cells and determine their impact on alternative implementation strategies.
Penalties induced by higher-order PMD at 10 Gbit/s in nondispersion-shifted fibers

In a recently published work see, Electron. Lett. , vol.31, p.1597, 1995; we have demonstrated theoretically that in nondispersion-shifted fibers, second-order polarization-mode dispersion (PMD) can severely compound the PMD penalty as a result of first-order PMD [i.e., the value of the differential group delay (DGD) at the signal central frequency]. To verify these theoretical results, a l0-Gbit/s nonreturn to zero (NRZ) transmission was set up over a 70 km nondispersion-shifted fiber with a chromatic dispersion near 1550 nm. The l0-Gbit/s transmitter consisted of a modulated DFB laser.
Prediction of Cardiovascular Disease using Multiple Machine Learning Platforms

The number of people affected due to Cardiovascular diseases has escalated in recent years. The sedentary lifestyle, certain genetic factors, obesity, lack of exercise and stressful work environments act as a catalyst in the progress of the disease. Heart failure is one of the Cardio-vascular diseases that occur due to improper flow of blood and inadequate level of oxygen in the blood. Researchers apply machine learning algorithms to identify the crucial factors involved in heart diseases. The data obtained from patients are explored and analyzed using various data mining tools to derive relevant and accurate outcomes. In this paper, two popular machine learning platforms Scikit-Learn and Orange are investigated by implementing Seven machine learning techniques and Boosting algorithms, their performance on the Heart Failure dataset is explored with various training and testing ratios. Their best training and the testing split are determined. Performance of the datamining tools are examined and various metrics are evaluated. Machine learning techniques like traditional Logistic Regression, Naïve Bayes and ensemble Random Forest models had higher prediction accuracies. The Boosting algorithms performed efficiently than other common models with 89%.
Lessons learned using dSedNet plug-in within a water supply catchment for Greater Sydney

Previous studies have identified that water quality in lakes and reservoirs can be closely associated with the hydrologic regime of flood and drought events. Extended low flow events can change the driving mechanisms of water quality constituents, particularly sediment loads, due to increased residence times and reduction in flushing. WaterNSW is developing a catchment to supply water quality and quantity model for the Greater Sydney supply system. The modelling of sediment within the water column and runoff profile is deemed critical to manage good quality water supplies. Key drivers of total suspended solids within the water column are hill slope, gully and stream erosion. These processes are further exacerbated by a lack of ground cover post bush fire in WaterNSW’s heavily forested catchments. This paper explores the use of the CSIRO dSedNet plugin in the eWater Source program and the challenges faced adopting them in the Warragamba and Avon catchment models. This study highlights the importance of setting up modelling files within the right context and ensuring data integrity throughout the spatial data. WaterNSW worked with CSIRO to update the help files and documentation to assist others in taking up more detailed sediment modelling within catchments.
Development of RIKEN Plant Metabolome MetaDatabase

Abstract The advancement of metabolomics in terms of techniques for measuring small molecules has enabled the rapid detection and quantification of numerous cellular metabolites. Metabolomic data provide new opportunities to gain a deeper understanding of plant metabolism that can improve the health of both plants and humans that consume them. Although major public repositories for general metabolomic data have been established, the community still has shortcomings related to data sharing, especially in terms of data reanalysis, reusability and reproducibility. To address these issues, we developed the RIKEN Plant Metabolome MetaDatabase (RIKEN PMM, http://metabobank.riken.jp/pmm/db/plantMetabolomics), which stores mass spectrometry-based (e.g. gas chromatography–MS-based) metabolite profiling data of plants together with their detailed, structured experimental metadata, including sampling and experimental procedures. Our metadata are described as Linked Open Data based on the Resource Description Framework using standardized and controlled vocabularies, such as the Metabolomics Standards Initiative Ontology, which are to be integrated with various life and biomedical science data using the World Wide Web. RIKEN PMM implements intuitive and interactive operations for plant metabolome data, including raw data (netCDF format), mass spectra (NIST MSP format) and metabolite annotations. The feature is suitable not only for biologists who are interested in metabolomic phenotypes, but also for researchers who would like to investigate life science in general through plant metabolomic approaches.
Extended Streamflow Forecasting Using NWSRFS

Extended forecasting using the National Weather Service River Forecast System (NWSRFS) is done with the NWS Extended Streamflow Prediction (ESP) program. This paper examines the theory, capabilities, and potential applications of the ESP procedure. ESP uses conceptual hydrologic/hydraulic models to forecast future streamflow using. the current snow, soil moisture, river, and reservoir conditions with historical meteorological data. The ESP procedure assumes that meteorological events that occurred in the past are representative of events that may occur in the future. Each year of historical meteorological data is assumed to be a possible representation of the future and is used to simulate a streamflow trace. The simulated streamflow traces can be scanned for maximum flow, minimum flow, volume of flow, reservoir stage, etc., for any period in the future. ESP produces a probabilistic forecast for each streamflow variable and period of interest. The procedure was originally developed for water supply foreca.
A superconducting microwave oscillator clock for use on the Space Station

The International Space Station provides an ideal platform for high precision frequency measurements, both as applied to scientific experiments and as regards basic time metrology. Consequently, a variety of clocks are being developed for flight on the Space Station, a majority of which are atomic clocks with very good stability for time periods in excess of 1,000 seconds. We plan to significantly augment the scope and capability of the ensemble of space clocks by adding to it SUperconducting Microwave Oscillator, SUMO. SUMO is a space version of the superconducting cavity stabilized oscillator, SCSO; the most precise clock developed to date for the interval range of around 100seconds. Short descriptions are given of the SUMO project and the SCSO technology and the principal disturbances causing frequency fluctuations are outlined. The planned improvements to the SCSO and preliminary results of the development work for SUMO are also highlighted.
A distributed systems model for estimation of printed circuit board fabrication costs

Newer product development methods in distributed manufacturing environments have been increasing in their popularity and use, serving to provide desirable advantages over conventional manufacturing approaches developed for vertically integrated environments. Manufacturing planning has evolved from materials requirements planning (MRP) through MRP II, JIT, flexible manufacturing and lean manufacturing. While the strategies themselves represent improvement towards meeting current goals when compared with their earlier counterparts, they have brought with them a new and different set of shortcomings. This paper focuses on the distributed manufacturing of printed circuit boards. Issues that arise from the nature of the relationships between the cooperating enterprises are discussed from the viewpoint of overall efficiency of the system. The nature and extent of the information shared is reviewed, and the implications and viability of distributed information systems are discussed. Finally, we present a methodo.
Noise Due to Interaction of Boundary-Layer Turbulence with a Compressor Rotor

The radiated sound due to a compressor or propulsor rotating blade row was investigated under various operating conditions and inflows. The propulsor was operated in air with different blade space-to-chord ratios, different flow coefficients and differing turbulence (nonisotropic) inflows. The inflows ingested were: 1) the natural boundary layer on the hub and annulus wall, 2) a tripped boundary layer on the hub, and 3) a fully developed boundary layer on the hub. The turbulence properties were also altered by placing a grid at the inlet. The mean velocity profiles, turbulence intensities, length scales, and energy spectra of the inflow, as well as nearand far-field acoustic spectra, were measured. A parametric investigation of the effect of inflow characteristics on the radiated sound was made. Several length scales were found to exist simultaneously. The noise due to small scale turbulence seemed to depend on the ratio of the square of the turbulence velocity normal to the blade divided by the axial length scale. The long eddies (compared to blade spacing) were primarily responsible for discrete tone production. Nomenclature ABL,NBL,FDBL = artificial, natural, and fully developed boundary layer, respectively B = number of blades c = blade chord CL =lift coefficient based on the cascade mean velocity Eu.u. (k) = spectrum function of turbulence kinetic energy k = wave number
Joint Purchase Service System Research Based on User Needs

Joint purchase is a new concept that came into being in recent years. It is gradually on the rise and development. In view of the unreasonable information structure about existing joint purchase website.In this paper, by using the research method of Ethnography, the lifestyles and behaviors of joint purchase groups are observed, and attributes of target groups are concluded. Users’ potential needs are tapped while qualitative data are analyzed with SCAT qualitative tool. Some needs’ factors and suggestions are given for joint purchase service system,and prepare for developing mobile application software about joint purchase.
Joint Sleep and Rate Scheduling With Booting Costs for Energy Harvesting Communication Systems

In energy harvesting communication systems, it is possible for a transmitter to schedule the transmission by jointly scaling the rate and turning the transmitter ON/OFF adaptively. Such a joint rate and sleep schedule can greatly increase the throughput achieved by the transmitter with battery constraints. However, most existing works on joint rate and sleep scheduling assume the transition between different states does not have any cost, i.e., energy or time consumption. This is not realistic while the energy and time needed for booting a transmitter, i.e., turning a transmitter from OFF to ON, are not small enough to be ignored in most cases. In this paper, we investigate the joint rate and sleep scheduling on system throughput with more general booting consumption considered in energy harvesting communication systems. We first identify the structural properties of the optimal solution for the model with booting consumption considered. Inspired by these observations, we develop an optimal offline algorithm and an online heuristic algorithm to solve the problem. Experimental results from simulations and real tests show that the proposed algorithms can achieve much higher throughput on average in a realistic energy harvesting communication system, compared to those algorithms that only consider rate scheduling or ignore the booting consumption.