Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Motor Parameter Deviations in Feedforward Field Orientation Drive Systems

If the value of the time constant used in the slip calculator of a feedforward field orientation drive system deviates from the correct value, the decoupling of flux and torque is lost and both steady state and transient response is degraded. An analysis of detuned operation shows that the amount of performance degradation is strongly dependent on machine parameters. The large magnetizing inductance and low rotor resistance typically associated with larger, more efficient machines is shown to tend to amplify the effects of detuning compared to the relative insensitivity oí small, low efficiency machines. It is also shown that for many applications the transient response effects of detuning can be handled by the outer control loops and that the major problem is maintaining the steady state operating flux and current at reasonable levels.
WAVE: A Web-Based Platform for Delivering Knowledge-Driven Virtual Experiences

Many studies have demonstrated the usefulness of virtual characters in educational settings; however, widespread adoption of such tools is limited by development costs and accessibility. This article describes a novel platform, web automated virtual environment (WAVE), to deliver virtual experiences through the web. The system integrates data acquired from a variety of sources in a manner that allows the virtual characters to exhibit behaviors that are appropriate to the designer’s goals, such as providing support for users based on understanding their activities and their emotional states. Our WAVE platform overcomes the challenge of the scalability of the human-in-the-loop model by employing a web-based system and triggering automated character behaviors. To support wide-scale use, we are making WAVE freely accessible (part of the Open Education Resources) and available anytime, anywhere.
The Implementation of the Method for Generating the Isoline of the Discrete Point Set

This paper expounds the structuring of the Delaunay triangulation network by using the growth algorithm and the generating of the triangular topological relation, this paper introduces the definition of the mathematical structure, and programs based on the constructing of the TIN and its topological relation, and implements the automatic tracking of the isoline.
Sublinear Communication for Integer Permutations

In [\cite{GUSTEDT:2006:INRIA-00000900:2}] we have shown that random shuffling of data can be realised with linear resource usage, CPU time as well as communication, and this for a large variaty of paradigms, in particular distributed and out-of-core computation. In this paper we restrict to the case of permutations of the integers $[M] = \{1, \ldots, M\}$ and show first show how the communication for a $p$ processor setting can be reduced from $O(M)$ words ($O(M \log M)$ bits, the coding size of the permutation) to $O(M \log p / \log M)$ words ($O(M \log p)$ bits, the coding size of a partition of $[M]$ into $M / p$ sized subsets). % For the common case of using pseudo-random numbers instead of real randomness, this coding size is in fact not a valid lower bound; we show the communication can be lowered to a use of bandwidth that is proportional to the used real randomness. % The efficiency and feasibility of this second approach is demonstrated by large scale experiments where it proves its scalability and outperforms the previously known approaches by far. First, we compare our algorithm to the classical sequential data shuffle algorithm, where we get a speedup of about $1.5$. Then, we show how the algorithm parallelizes well on a multicore system and scales to a cluster of $440$ cores.
Current-Voltage Characteristics of the Co-Flow Type Electrofluidized Beds

Current-voltage characteristics of the co-flow type electro-fluidized beds (EFB) have been studied both theoretically and experimentally. The charge transport equation was solved together with Poisson's equation analytically under both packed and fluidized conditions. Experimental studies have een conducted in humidity-free environment under flowing pure nitrogen gas at atmospheric pressure for the range of the superfacial gas velocity from 0 to 40 cm/see and the applied voltage from 0 to 60 kV for the particle size 400 pm Ottawa sand. The results show that the charged particle density and the electric field distributions can be calculated if the current-voltage characteristics of EFB are known and the results are significantly influenced by the void fractions.
AIR-FI: Leaking Data From Air-Gapped Computers Using Wi-Fi Frequencies

This article presents a new attack allowing attackers to exfiltrate data from isolated, air-gapped computers via Wi-Fi frequencies. We show that malware in a compromised air-gapped computer can generate signals in the Wi-Fi frequency bands. The signals are generated through the memory buses - no special hardware is required. Sensitive data can be modulated and secretly exfiltrated on top of the signals. We show that nearby Wi-Fi-capable devices (e.g., smartphones, laptops, and IoT devices) can intercept these signals, decode them, and send them to the attacker over the Internet. We utilized the physical layer information exposed by the Wi-Fi chips to extract the signals. We further implemented the transmitter and receiver and discussed design considerations and implementation details. We evaluated this covert channel in terms of bandwidth and distance and presented a set of countermeasures. Our evaluation shows that data can be exfiltrated from air-gapped computers to nearby Wi-Fi receivers located meters away at bit rates of 16 bit/sec.
Signal Emulation Attack and Defense for Smart Home IoT

Internet of Things (IoT) is transforming every corner of our daily life and plays important roles in the smart home. Depending on different requirements on wireless transmission, dedicated wireless protocols have been adopted on various types of IoT devices. Recent advances in Cross-Technology Communication (CTC) enable direct communication across those wireless protocols, which will greatly improve the spectrum utilization efficiency. However, it incurs serious security concerns on heterogeneous IoT devices. In this paper, we identify a new physical-layer attack, cross-technology signal emulation attack, where a WiFi device eavesdrops a ZigBee packet on the fly, and further manipulates the ZigBee device by emulating a ZigBee signal. To defend against this attack, we propose two defense strategies with the help of an anchor. Particularly, the passive defense strategy focuses on misleading the ZigBee signal eavesdropping, while the proactive approach develops a real-time detection mechanism on distinguishing between a common ZigBee signal and an emulated signal. We implement the complete attacking process and defense strategies with TI CC26x2R LaunchPad, USRP-N210 platform, and smart LED light bulbs, as well as a self-designed prototype, where a general light bulb can be turned on/off by a Nexus 5 smartphone directly. Extensive experiments have demonstrated the existence of the attack, and the feasibility, effectiveness, and accuracy of the proposed defense strategies.
Minimizing DNA microarrays to a single molecule per spot: using zero-mode waveguide technology to obtain kinetic data for a large number of short oligonucleotide hybridization reactions

We have shown recently that the hybridization of short oligonucleotides can be studied in a zero-mode waveguide nanostructure (ZMW) chip using a modified DNA sequencer. [1] Here we present an extension of this method enabling the parallel measurement of kinetic constants of a large number of hybridization reactions on a single chip. This can be achieved by immobilization of a mixture of oligonucleotides, which leads to a statistical and random distribution of single molecules in the 150’000 ZMWs of a SMRT™ cell. This setup is comparable to a classical microarray with ZMWs in place of spots but unknown allocation of probes. The probe surface density is reduced by a factor of ~1010 allowing the study of hybridization in the absence of interactions with neighboring probes. Hybridization with a dye labelled oligonucleotide results in trains of fluorescence pulses from which interpulse durations (IPDs) and pulse widths (PWs) can be extracted. Since the identity of a probe in a ZMW is unknown, the immobilized oligonucleotide is sequenced in a subsequent step. After mapping the fluorescence traces to the sequence, the association and dissociation rate constant for each oligonucleotide can be calculated. By selecting suitable probes, the method can be used to determine rate constants of hybridization for a large number of mismatch oligonucleotides in a single measurement and at single-molecule level.
CB-DA: Lightweight and Escrow-Free Certificate-Based Data Aggregation for Smart Grid

Recent development of smart cities includes advanced and optimized use of modern smart grid (SG) than the traditional power grid. The paradigm of SG has also transformed houses into a home area networks, where several smart devices and appliances are connected to the electricity control centers (ECC). Appliances share their load and consumption related information to ECC through smart meters. This consumption data may be used for supply-demand management, for example, by ramping production up or down as needed. However, security and privacy of the consumer's data are greatly important since fine-grained smart meter data may reveal users presence/absence in their house. To address this issue, several public-key-based or identity-based data aggregation schemes have been proposed in the literature. However, most of such schemes either suffer from the complexity of certificate management or key escrow problem. To eliminate these issues, in this paper, we propose an efficient certificate-based data aggregation (CB-DA) scheme. In the proposed CB-DA scheme, the owner selects a secret key and then use the secret key along with certificates as decryption/signing keys. Our analysis shows that the proposed CB-DA is secure under the random oracle model and more efficient than the existing data aggregation schemes.
GAUSSIAN MIXTURE MODEL BASED SYSTEM IDENTIFICATION AND CONTROL

of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy GAUSSIAN MIXTURE MODEL BASED SYSTEM IDENTIFICATION AND CONTROL By Jing Lan August 2006 Chair: José C. Principe Major Department: Electrical and Computer Engineering In this dissertation, we present a methodology of combining an improved Gaussian mixture models (GMM) with local linear models (LLM) for dynamical system identification and robust predictive model control. In order to understand the advantage of the mixture model, its structure and training are discussed in detail. A growing selforganizing map is utilized to improve the random initialization of mixture models, which makes the GMM convergence more stable. To increase local modeling capability and decrease modeling error, local linear models are trained based on GMM as one-step predictors. Following the local modeling approach, a series of controllers are designed to realize a tracking application, among which the optimal robust control shows better robustness over other controllers. Five application systems with different dynamics are simulated in order to verify the modeling and control capability of the improved Gaussian mixture model. Through experiments and comparison with self-organizing maps, radial basis functions, and other methodologies, it is shown that the improved GMM-LLM approach is a more flexible modeling approach with higher
Practical Method of Conical Cam Outline Expansion

Conical cam mechanism has been widely used in modern machinery and equipment.However,the commonly used planar expansion methods for the design of spatial cam contour produce significant errors,because these methods incorrectly use the distance from the axis of the follower to the main conical cam to replace the corresponding arc length on the conical cam.HSIEH,et al,used analytical methods to achieve higher accuracy,but these analytical methods have their own drawbacks since they are too complicated for practical use.Through the analysis of the errors created during the generation of conical cam contour using the existing expansion methods,this paper proposes to include diverge angle in the calculation of conical cam rotation angle in the equation of conical cam contour expansion.This correction eliminates the error generated by the commonly used methods.Based on the expression of the follower's 3D trajectory and the spatial geometry of conical cam,this paper has deduced the planar polar curve equation for determining polar coordinates for the curve of planar expansion outline.Furthermore,this paper provides an example of conical cam contour design based on sinusoidal acceleration variation.According to polar coordinates and the movement of curve equation function expression,this paper applies MATLAB software to solve coordinates for the cam expansion curve and uses AutoCAD software to generate conical cam expansion contour that meets the requirement of the law of motion.The proposed method provides a design process that is simple,intuitive and easy to master and implement.It also avoids the design error in the traditional methods for generating contour of conical cam with oscillating follower that requires high precision.
Adjustable Speed Drive and Power Rectifier Harmonics Their Effect on Power Systems Components

The use of electrochemical rectifiers and the Increasing application of AC & DC adjustable speed drives dictates that the effect of harmonic "pollution" on other equipment in the power system be considered. An example power system is examined and the necessary calculations performed to show the effect harmonics have and investigate the probability of a harmonic resonance situation occurring. The tolerances that various power system components have to harmonic currents and voltages are examined. These components include transformers, reactors, capacitors, cable, swltchgear, relaying, generators and motors.
MONTE-CARLO SIMULATION OF NEUTRON STAR ORBITS IN THE GALAXY

In this paper, the numerical results concerning dierent orbits of a 3D axisymmetric non-rotating galactic potential are presented. We use Paczy nski’s gravitational potential with dierent birth velocity distributions for the isolated old Neutron Star (NS) population. We note some smooth non-constant segments corresponding to regular orbits as well as the characterization of their chaoticity. This is strongly related to the eect of dierent kick velocities due to supernovae mass-loss and natal kicks to the newlyformed NS. We further conrm that the dynamical motion of the isolated old NSs in the gravitational eld becomes obvious, with some signicant diraction in the symmetry of their orbital characteristics.
STEM Education: A Comparative Study of Platforms in Selected Countries

Transition of STEM (Science, Technology, Engineering, Mathematics) education to online format accelerated the development of STEM platforms. However, the educational research on STEM platforms is emerging. The aim of this research is to compare STEM platforms' structures in selected countries underpinning the elaboration of new research questions. The study was carried out in November-December 2022. Three STEM platforms were found via google search and analyzed. The exploratory type of the comparative study was implemented. The data were collected via STEM platforms' observation. Pedagogical interpretation was applied to data analysis. The collected data were analyzed via structuring content analysis and summarizing content analysis. As a result, the STEM education triangle has been updated with the STEM platform. The number of available STEM platforms is still limited. The STEM platforms are mostly the combination of educational content and learning data analytics. The study contributes to the finding that the STEM platforms have some similarities as well as differences. The new research questions were formulated. The research limitations were identified. Directions of further research were proposed.
A Case of Paraneoplastic Dermatomyositis Presenting With Malignant Pleural Effusion

Dermatomyositis is an uncommon inflammatory condition characterized by proximal muscle weakness with distinct cutaneous manifestations. Like any other systemic disease, it affects multiple organs, the lungs being one of them. Common pulmonary manifestations of dermatomyositis (DM) include interstitial lung disease (ILD), primary lung malignancy, and aspiration pneumonia. The involvement of the pleura is not commonly seen, and pleural effusion is rarely reported in DM. Its presence should prompt further workup, especially for malignancy. An association between dermatomyositis and malignancy has been studied widely and is well established. Here, we report a 37-year-old female with classical cutaneous manifestations and myopathy of dermatomyositis presenting with a malignant left-sided pleural effusion.
Effects of Nonnutritive Sweeteners on Body Composition Changes during Pubertal Growth

The effects of consuming specific types of nonnutritive sweeteners (NNSs) on adiposity changes in children have remained inconsistent. In this study, we aimed to investigate the effects of the intake of different kinds of NNSs on long-term adiposity changes during pubertal growth. Furthermore, we examined the above relationships among different sexes, pubertal stages, and levels of obesity. A total of 1893 6–15-year-old adults were recruited and followed-up every 3 months. The NNS-FFQ (Food Frequency Questionnaire) was conducted and urine samples were collected to investigate the effects of the selected sweeteners, which included acesulfame potassium, aspartame, sucralose, glycyrrhizin, steviol glycosides, and sorbitol. Multivariate linear mixed-effects models were used to examine the relationship between NNS intake and body composition. The consumption of aspartame, sucralose, glycyrrhizin, stevioside, and sorbitol was associated with decreased fat mass and increased fat-free mass. In the highest tertile group, the effects of NNS consumption on fat mass corresponded to values of −1.21 (95% CI: −2.04 to −0.38) for aspartame, −0.62 (95% CI: −1.42 to 0.19) for sucralose, −1.26 (95% CI: −2.05 to −0.47) for glycyrrhizin, −0.90 (95% CI: −2.28 to 0.48) for stevioside, and −0.87 (95% CI: −1.67 to −0.08) for sorbitol, while the effects on fat-free mass corresponded to values of 1.20 (95% CI: 0.36 to −0.38) for aspartame, 0.62 (95% CI: −0.19 to 1.43) for sucralose, 1.27 (95% CI: 0.48 to 2.06) for glycyrrhizin, 0.85 (95% CI: −0.53 to 2.23) for stevioside, and 0.87 (95% CI: 0.08 to 1.67) for sorbitol. Particularly, aspartame and sorbitol revealed a dose-responsiveness effect. The above finding was more prominent among girls than boys. Moreover, fat mass was significantly reduced in normal-weight children who consumed a moderate amount of aspartame and a large amount of glycyrrhizin and sorbitol compared with obese children. In conclusion, the NNS-specific and sex-specific effects of long-term NNS consumption revealed associations of decreasing fat mass and increasing fat-free mass for children undergoing pubertal growth.
Reference-Free Amplitude-Based WiFi Passive Sensing

The parasitic exploitation of WiFi signals for passive sensing purposes is a topic that is attracting considerable interest in the scientific community. In an attempt at meeting the requirements for sensor compactness, easy deployment, and low cost, we resort to a noncoherent signal processing scheme that does not rely on the availability of a reference signal and relaxes the constraints on the sensor hardware implementation. Specifically, with the proposed strategy, the presence of a moving target echo is determined by detecting the amplitude modulation that it produces on the direct signal transmitted from the WiFi access point. We investigate the target discrimination capability of the resulting sensor against the competing interference background and we theoretically characterize the impact of undesired amplitude fluctuations in the received signal that are determined by causes other than the superposition of the target echo, thereby including the waveform properties. Hence, we propose different solutions to address the limitations identified, characterized by different complexities, and we investigate their advantages and drawbacks. The conceived signal processing schemes are thoroughly validated on both simulated and experimental data, collected in different operational scenarios.
Learning Application Design Using Predict Observe Explain (POE) Model for Computer Practicum in the COVID-19 Pandemic Period in Higher Education

The COVID-19 pandemic forced STIE & STMIK Jayakarta to use the distance learning process for students. Institutional policies to use the Google Workspace for Education application as a Learning Management System (LMS) are deemed appropriate, but they are still experiencing difficulties in learning computer practicums. The use of the Google Forms feature as a computer practicum worksheet is considered less effective in increasing student independence in completing their practicum assignments. This study aims to design a web-based learning application that uses the Predict-Observe-Explain (POE) learning model which has advantages, such as being used to express students' initial ideas, generate discussion, provide information to lecturers about students' thoughts and motivate students to want to explore concepts, and arouse the desire to investigate. The application development method in this study uses Extreme Programming (XP) as an agile approach model for responsive application programming, with user needs that are rapidly changing and always changing. The result of this research is the design of a web-based application that uses a POE card as a computer practicum worksheet with a web page link from the LMS so that it can accommodate the learning outcomes of computer practicum courses.
Chitosan is involved in elicitation of vestitol production in Lotus japonicus

Plants are often exposed to different abiotic and biotic stresses that induce multigene response, resulting in specific modulations in primary and secondary metabolite accumulation (Zhao et al. 2005). Low molecular mass compounds absent in healthy tissues or present only in insignificant amounts are produced by plants in significant quantities as a response to biotic stresses (mainly to attack by fungi or bacteria) are collectively called phytoalexins. They take part in an intricate defence system which enables plants to control invading patogens (Jeandet et al. 2014). Phytoalexins have been described in number of plants belonging to different families including those of economic importance such as Brassicaceae, Fabaceae, Solanaceae, Vitaceae, and Poaceae (Ahuja et al. 2012).