Miracle-dz/UniFAR-FTUs huggingface dataset:
Reduction of the Induced Voltage in the Synchronous Generator Shaft Using Active AC / DC Converter

Today, synchronous generators are broadly employed in the industry. The thyristor rectifier in the static excitation system of synchronous generators is responsible for supplying the DC voltage of the excitation winding. In these rectifiers, a high-frequency component is generated at the output of the DC voltage, during turning on and off of the thyristor. These high-frequency components charge the generator’s parasitic capacitors. The voltage induced in these capacitors induces the voltage in the synchronous generator shaft. In this paper, the induced voltage analysis in the generator shaft is performed. Then, modeling, simulation, and experimental laboratory results of pulse width modulation are performed in the static generator excitation system. The induced voltage of the generator shaft is examined by applying this rectifier and it is compared and analyzed with the results of the thyristor rectifier. The hiring of a pulse width modulation rectifier has had a great impact on reducing the induced shaft voltage.
Face Verification Using 802.11 waveforms

Verification of an identity based on the human face radar signature in mmwave is studied. The chipset for Qualcomm 802.11ad/y1 Qualcomm 802.11 is a product of Qualcomm Technologies, Inc. and/or its subsidiaries networking that is cable of operating in a radar mode is used. A dataset with faces of 200 different persons was collected for the testing. Our preliminary study shows promising results for the application of autoencoder for the setup at hand.1 Qualcomm 802.11 is a product of Qualcomm Technologies, Inc. and/or its subsidiaries
Decentralized Control of Robotic Arm with Elastic Joints

This article considers application of series elasticity in modern robots with the main focus on robotic arms. Due to enhanced shock robustness and other useful properties these robotic arm can provide significant performance in extreme conditions, including space. Since such systems are more difficult to control than traditional rigid ones, special control algorithms are required. Here we implement a decentralized control scheme with inverse dynamics-based in the outer loop and torque controllers in joints. The designed algorithm is validated in simulation. The control system and joint internal dynamics are executed in Matlab-Simulink environment, while rigid-body dynamics is provided by CoppeliaSim software (former V-REP). In future work a centralized control scheme is planned to be implemented as well, so that the performance could be compared.
LogParse: Making Log Parsing Adaptive through Word Classification

Logs are one of the most valuable data sources for large-scale service (e.g., social network, search engine) maintenance. Log parsing serves as the the first step towards automated log analysis. However, the current log parsing methods are not adaptive. Without intra-service adaptiveness, log parsing cannot handle software/firmware upgrade because learned templates cannot match new type of logs. In addition, without cross-service adaptiveness, the logs of a new type of service cannot be accurately parsed when this service is newly deployed. We propose LogParse, an adaptive log parsing framework, to support intra-service and cross-service incremental template learning and update. LogParse turns the template generation problem into a word classification problem and learns the features of template words and variable words. We evaluate LogParse on four public production log datasets. The results demonstrate that LogParse supports accurate adaptive template update (increased from 0.559 to nearly 1.0 parsing accuracy), and a trained LogParse is adaptive for a brand new service’s log parsing. Because of LogParse’s adaptiveness, we also apply LogParse to an interesting application, log compression and deployed log compression in a top cloud service provider. We package LogParse into an open-source toolkit.
A Location-aware Computation Offloading Policy for MEC-assisted Wireless Mesh Network

Mobile edge computing (MEC), an emerging technology, has the characteristics of low latency, mobile energy savings, and context-awareness. As a type of access network, wireless mesh network (WMN) has gained wide attention due to its flexible network architecture, low deployment cost, and self-organization. The combination of MEC and WMN can solve the shortcomings of traditional wireless communication such as storage capacity, privacy, and security. In this paper, we propose a location-aware (LA) algorithm to cognize the location and a location-aware offloading policy (LAOP) algorithm considering the energy consumption and time delay. Simulation results show that the proposed LAOP algorithm can obtain a higher completion rate and lower average processing delay compared with the other two methods.
Effective Complex Airport Object Detection in Remote Sensing Images Based on Improved End-to-End Convolutional Neural Network

Airport objects are hotspots in the field of image object detection because of their specific features and value for applications. In this study, we developed a complex object detection method based on improved Faster R-CNN to achieve higher detection precision to detect seven types of remote sensing image objects in airport areas under complex conditions such as different scales, different visual angles, and different backgrounds. When building the network, we used deeper basic networks and feature fusion components to extract more robust features. At the same time, we had also modified the selection of positive and negative samples to improve sample imbalance. The main improvements in the algorithm concern the anchor size generation rule, and the addition of an a priori judgment network for the network. The effectiveness of the improved algorithm was verified in experiments. Compared with the original Faster R-CNN, the improved network brings a 12.7% increase in mAP, at the detection time of 0.307s. Finally, the model with trained weights was used to test the detection of the seven types of objects in airport areas on different data sets, and comparisons were conducted with other algorithms. The experimental results showed that the method improved the average detection accuracy and had a good performance in remote sensing airport object detection tasks.
Distributed Energy-Aware Reliable Routing and TDMA Link Scheduling in Wireless Sensor Networks

Prolonging the network lifetime is a critical challenge in the wireless sensor networks (WSNs). Routing and link scheduling can achieve the objective but few works combine them together to get better performance. In this paper, we study the distributed joint routing and link scheduling for WSNs to extend their lifetime. Using a mathematical formulation, we present a routing algorithm to guarantee three quality of service (QoS) requirements: delay, link reliability and energy-efficiency, simultaneously. Unlike the previous literatures in which all the nodes use the same time frame length, we develop a TDMA link scheduling that determines the frame length of each node by negotiating with neighbors. The interference-free timeslot is allocated to a link under the signal to interference plus noise ratio (SINR) model. We prove the correctness of the routing and the scheduling and analyze the complexity of the algorithms. Our simulation results show that the proposed algorithm outperforms other algorithms and can effectively maximize the network lifetime.
Quasi-Fixed Switching Frequency Control of CRM Boost PFC Converter Based on Variable Inductor in Wide Input Voltage Range

With traditional constant on-time control, the switching frequency variation range of critical conduction mode boost power factor correction converter is large during a half line cycle, not to mention the wide range of input voltage's rms value. For this issue, this article puts forward a quasi-fixed switching frequency control, which combines the variable on-time and variable inductor technology together. Furthermore, a lower output voltage ripple and a higher efficiency are obtained. In spite of the power factor decrease, the input current harmonics still satisfy the IEC61000-3-2 Class D limits. The detailed theoretical analysis and experimental results are presented in this article.
Model-Matching-Control of a Redundantly Actuated Steer-by-Wire-System

Steer-by-Wire (sbw) systems gain new importance with regard to autonomous driving since a permanently rotating steering wheel is undesired in such a vehicle. In addition, redundancies in the vehicle steering system must be provided for autonomous vehicles, which have been seen as an obstacle for sbw-systems until now. In this article, a control concept for redundantly actuated sbw-systems is presented. For this purpose, the mechanical model of a redundantly actuated sbw is described, in which the actuators of the steering are elastically connected to each other. Also a linear model of a conventional hydraulic power steering (hps) is derived as reference model, to describe the desired dynamic behavior of the controlled system. A dynamic model-matching controller based on norm minimization is designed to match the dynamics of the sbw-system to the dynamics of the hps-model. Finally, the characteristics of the controlled system are analysed. The controlled system matches the reference system in the relevant frequency range and shows the desired behavior on the test bed.
A Closed Loop Load Control Scheme for Stabilizing Frequency in Power System with Block Events

The emergency frequency control of high-voltage direct-current (HVDC) receiving-end grid is investigated in this paper. While the multi HVDC feed-in system has several potential frequency stability problems, this paper mainly focuses on the worst scenario: frequency decreases on account of DC system blocking. A novel closed loop load control scheme based on the demand side control and wide-area measurement system (WAMS) is proposed. By deriving the power-to-voltage characteristics, the potential contribution to frequency management of industrial intensive load and static ZIP load is investigated at first. Then a multi-voltage level coordinate scheme is established with the help of wide-area measurement system (WAMS), which aims to maintain frequency stability when serious faults occur in the power system. The effectiveness and robustness of proposed scheme is validated through simulation on real-time digital simulator (RTDS) platform. An actual accident is taken as study case. Results indicate that the proposed scheme could provide remarkable improvement in both security and economic aspects.
Reliability Analysis of Position Accuracy of Welding Robot

In order to realize the high-quality work requirements of welding robots, based on the actual working conditions, the seven-degree-of-freedom series welding robot is taken as the research object, we design and determine the relevant technical parameters of it, and establish the kinematics model in D-H coordinate system. The micro-displacement synthesis method is introduced, and the static pose error model and reliability calculation model of the robot are established. The influencing factors of the accuracy of the welding robot's pose accuracy are analyzed and the sensitivity of the influencing factors was obtained. Finally, based on Monte-Carlo simulation method, the link parameters of the welding robot are taken as an example to verify the reliability of the position and accuracy of the welding robot, and the relevant results are obtained. The work in this paper is of some guiding significance in reliability design and assessment of a welding robot.
A state observer for the calibration of the Hazen-Williams equation

This article presents an approach based on a state observer to calibrate the Hazen-Williams (HW) equation, which is widely used to model the head loss in a pipeline. To perform the calibration process, the approach requires a record over time of the flow rate, which can be taken in any coordinate along the pipeline, and a record of the pressure taken at the inlet. Specifically, the proposed approach allows estimating both the roughness coefficient involved in the HW equation and the hydraulic head at the pipeline outlet. The closure of this contribution presents some results involving data that were collected during experiments in a physical model. Such results show the feasibility of implementing the proposed approach.
Ultrashort Peptide Theranostic Nanoparticles by Microfluidic-Assisted Rapid Solvent Exchange

Ultrashort peptides (USPs), composed of three to seven amino acids, can self-assemble into nanofibers in pure water. Here, using hydrodynamic focusing and a solvent exchange method on a microfluidic setup, we convert these nanofibers into globular nanoparticles with excellent dimensional control and polydispersity. Thanks to USP nanocarriers’ structure, different drugs can be loaded. We used Curcumin as a model drug to evaluate the performance of USP nanocarriers as a novel drug delivery vehicle. These nanoparticles can efficiently cross the cell membrane and possess nonlinear optical properties. Therefore, we envisage USP nanoparticles as promising future theranostic nanocarriers.
Evaluation of Damping of Generator by Using Oscillation Energy

Evaluating damping of generators is beneficial for improving the stability of the power system. The existing damping evaluation methods based on the sixth-order generator model are strongly rely on detailed parameters which are not easy to obtain. To address this problem, a damping evaluation method using oscillation energy and small signal analysis is proposed, the method can evaluate the damping of the sixth-order generator model based on electric parameters. First, the oscillation energy that flow into the sixth-order generator model based on electric parameters is deduced and corresponding equivalent circuits is also given. Second, a damping evaluation index based on oscillation energy is proposed, and then the express of index is given by eigenvector and eigenvalue. Finally, simulation result of a 4-machine system demonstrates the validation of the proposed method for damping evaluation.
Sec-ALG: An Open-source Application Layer Gateway for Secure Access to Private Networks

Middleboxes such as Network Address Translators (NATs), proxy servers or Application Layer Gateways (ALGs) provide remote access to end-hosts in the private address space. The middleboxes offer proprietary solutions and encrypted traffic poses a challenge when middleboxes employ packet payload inspection techniques for connection establishment. Session key sharing and decryption followed by re-encryption of the traffic, for correctly routing to the private host, increases the connection latency and also poses a higher threat in case of traffic interception by a malicious third-party.In this paper, we present a novel open-source ALG, called Sec-ALG, for providing secure end-to-end communication to the web servers situated in the private address space. Sec-ALG relies on the technique of light Deep Packet Inspection (DPI) for protocol detection and session establishment using a novel parser-lexer generator called YaLe. The proposed approach offers increased security by maintaining end-to-end encryption for an HTTPS connection. Our experimental analysis demonstrates that Sec-ALG reduces the HTTPS connection latency in comparison to the NGINX reverse proxy using a 24-core host machine. Moreover, Sec-ALG handles requests at a three-fold increased rate than NGINX proxy when tested with 100 concurrent connections. The ALG can be used either as a standalone solution or a component of the Realm Gateway, that is a generic interworking solution between public and private networks. The presented work is part of an extensive ongoing research at Aalto University focusing on embedding policy based trust into the network.
Systematic Approach to Cyber Resilience Operationalization in SMEs

The constantly evolving cyber threat landscape is a latent problem for today’s companies. This is especially true for the Small and Medium-sized Enterprises (SMEs) because they have limited resources to face the threats but, as a group, represent an extensive payload for cybercriminals to exploit. Moreover, the traditional cybersecurity approach of protecting against known threats cannot withstand the rapidly evolving technologies and threats used by cybercriminals. This study claims that cyber resilience, a more holistic approach to cybersecurity, could help SMEs anticipate, detect, withstand, recover from and evolve after cyber incidents. However, to operationalize cyber resilience is not an easy task, and thus, the study presents a framework with a corresponding implementation order for SMEs that could help them implement cyber resilience practices. The framework is the result of using a variation of Design Science Research in which Grounded Theory was used to induce the most important actions required to implement cyber resilience and an iterative evaluation from experts to validate the actions and put them in a logical order. Therefore, this study proposes that the framework could benefit SME managers to understand cyber resilience, as well as help them start implementing it with concrete actions and an order dictated by the experience of experts. This could potentially ease cyber resilience implementation for SMEs by making them aware of what cyber resilience implies, which dimensions it includes and what actions can be implemented to increase their cyber resilience.
Study of the physicochemical and proximate composition of cereal based probiotic beverage

The present investigation was carried to Study the physicochemical and proximate composition of cereal based Probiotic beverages made with millet (Panicum) and barley (Hordeum vulgare) as cereal by fortification with garden cress (Lepidium sativum) seed 2 percent and pumpkin(Cucurbita) seed powder 2 percent into it fermenting with Lactobacilli and Bifidobacteria cultures got the results as pH 4.01, total soluble solids 14.6 0Brix, viscosity 35 ceti-poise and titratable acidity 0.4 percent physical results and Chemical analysis in terms percent as of moisture 81.28, crude fat 1.823, crude protein 3.43, ash 1.27 and total carbohydrate 11.25.
Effects of sleep-inducing juice on sleep quality and heart rate variability in adults with disturbed sleep

BACKGROUND/OBJECTIVES Although some juices affect subjective sleep quality, there is a lack of information on the effect of a specific juice on objective sleep quality and heart rate variability (HRV) during sleep; thus the present study investigated whether a blended juice made from natural extracts influenced sleep quality and HRV during sleep in adults with disturbed sleep. SUBJECTS/METHODS A randomized, crossover study was conducted on twenty-five adults (15/10, female/male) complaining of difficulty initiating or maintaining nighttime sleep (Pittsburgh sleep quality index [PSQI] ≥ 5). During feeding sessions (FS), subjects received sleep-inducing juice made of natural ingredients (250 mL/trial) twice a day for 8 weeks or non-FS (N-FS) for 8 weeks while maintaining normal activities. Sleep quality and parameters were recorded via wearable actigraph for 7 consecutive days, and PSQI scores were assessed before and after the intervention. HRV was also monitored at rest and during sleep. RESULTS After receiving the sleep-inducing juice intervention (FS), PSQI scores were significantly decreased (P < 0.001) and correlated with a significant decline in fatigue severity scale and visual analogue scale levels (P < 0.05; both). HRV indices of vagal activity were significantly improved during FS (P < 0.05), and no significant differences in N-FS were observed. Sleep efficiency and total sleep time increased significantly (P < 0.05) and sleep latency, total counts, sleep fragmentation index, and movement index, decreased significantly (P < 0.05, all 4) during FS, with no significant differences-observed during N-FS. CONCLUSIONS This study results demonstrated that an 8-week course of sleep-inducing juice has led to improve sleep quality, suggesting an enhanced cardiac vagal tone during sleep. Thus, it could be a well-tolerated option for adults with disturbed sleep.
THE ROLE OF SELF-ORGANIZATION AND SELECTIVE TRANSFER IN FRICTIONAL COATINGS FORMATION

The adaptation to the variable and complicated conditions of contact interaction in the tribocouples can be realized by self-organization and synergy mechanisms. One of the phenomena of the most important acts of self-organization in contact systems is the selective transfer of materials between the friction surfaces and the microtribological (physico-chemical and mechano-chemical) processes that take place during friction under conditions of selective transfer. Reduced wear and friction result after the formation in the contact zone of non-oxidized thin film formed as friction protection coat during sliding. The paper overviews quickly self-organization and the selective transfer as self-organization phenomenon depending on interface energy and the material exchange. Generation of the frictional coating requires special combination of materials of the contact surfaces, as well as special lubricant between them.
Connectivity as the control key to intensity of flood pulse in Taquari River oxbow lakes

The Taquari River is one of the most important tributaries of the Paraguay River, whose sediments are carried and deposited on the plain forming the largest alluvial fan in the world, known as Pantanal. In the floodplain, the course of the river has been modified by the sedimentation process, resulting in lakes with different degrees of connectivity with the river. This study assessed the influence of connectivity on the physical and chemical characteristics of water along a hydrological cycle in oxbow lakes of the Taquari River floodplain, in Mato Grosso do Sul, Brazil. Sampling was carried out monthly, from May 2005 to June 2006.The physical and chemical data of the water and the variables of river level and rainfall intensity were correlated by Principal Component Analysis (PCA). Limnological differences resulted from distinct degrees of connectivity between the oxbow lakes and the Taquari River. Variations in the dry and rainy seasons established a gradient that extends over a space-time continuum and generates greater environmental heterogeneity and, consequently, greater biodiversity. Thus we conclude that this mosaic of lakes and the surrounding landscape requires protection and preservation because of its importance for biodiversity conservation.