Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of High-Order Chaotic Circuits

As an expansion and extension for three-order and four-order Chua's circuit, a new method to construct a class of high-order Chua's circuit and its FPGA hardware implementation has been studied in this paper. Based on the structure of a typical third-order Chua's circuit, a fifth-order, sixth-order and seventh-order Chua's circuit have been constructed through the series in the-type sub-circuit made up by a negative resistance, capacitance, inductance, and resistance, which are stringed into on the inductance slip. The dimensionless equation of high-order Chua's circuit has been, then, derived, and its basic dynamics characteristics have also been analyzed, among which including the phase diagram of chaotic attractors, the dynamic behavior of equilibrium points, bifurcation diagram and the Lyapnuov exponents. Due to digital processing technology, the continuous time state equation of the system has been discretizationed and the state variable ratio transformation has been done, so that the chaotic attractors of high-order Chua's circuit can be generated by using FPGA technology. Taking seventh-order Chua's circuit as a typical example, a general design principle by the way of FPGA technology to generate chaotic attractors as well as the corresponding hardware realization has been presented.
Some improvements in quartz crystal circuit elements

The characteristics of the Y-cut quartz crystal plate are discussed. It is shown that by rotating a plate about the X axis special orientations are found for which the frequency spectrum is simplified, the temperature coefficient of frequency is reduced practically to zero and the amount of power that can be controlled without fracture of the crystal is increased. These improvements are obtained without sacrificing the advantages of the Y cut plate, i.e., activity and the possibility of rigid clamping in the holder.
Advanced Prediction of Train Arrival and Crossing Times at Highway-Railroad Grade Crossings

There are many issues related to highway–railroad grade crossings. For historic and practical reasons, trains have the right-of-way at grade crossings, which results in delays to motorists. In addition, the differential in size, speed, and stopping ability between motor vehicles and trains raises many serious safety concerns. Historically, the methods used to address these delay and safety problems at grade crossings have been reactive in nature. For example, the Manual on Uniform Traffic Control Devices specifies a minimum of 20 s of warning time for active warning devices at grade crossings. Intelligent transportation system (ITS) technology offers potential solutions for increasing the warning time at grade crossings. Advanced on-board devices and off-track detection equipment can allow train position and speed to be monitored. This information can be shared through wireless and wireline telecommunications equipment being deployed for ITS. Transportation management center personnel can then predict the arrival and crossing times of trains at grade crossings. It is hypothesized that if the warning time could reliably be increased, the traffic-operation strategies in the vicinity of grade crossings could be more proactive, reducing delay to motorists and increasing safety for both trains and automobiles. The research focuses on a second-generation technology approach to an advanced prediction of train arrival and crossing (gate-up and gate-down) times at highway–railroad grade crossings, including problems faced at grade crossings, background on detection and prediction technology for grade crossings, the train monitoring system used as the test bed for the research, the development of the methodology, the results of the analysis, and the conclusions of the research and potential applications for the model.
SMART CITIES IN RESEARCH: STATUS-QUO AND FUTURE RESEARCH DIRECTIONS

The shift of populations to cities is creating challenges in many respects, thus leading to increasing demand for smart solutions of urbanization problems. Smart city applications range from technical and social to economic and ecological. The main focus of this work is to provide a systematic literature review of smart city research to answer two main questions: (1) How is current research on smart cities structured? and (2) What directions are relevant for future research on smart cities? To answer these research questions, a text-mining approach is applied to a large number of publications. This provides an overview and gives insights into relevant dimensions of smart city research. Although the main dimensions of research are already described in the literature, an evaluation of the relevance of such dimensions is missing. Findings suggest that the dimensions of environment and governance are popular, while the dimension of economy has received only limited attention.
Research on recycling vibration energy of shock absorber

The service life of a shock absorber is reduced mainly by thermal fatigue resulting from the continuous vibration when driving on the road. Thermal failure mechanism and influence factors are studied in accordance with the structure of a two-tube shock absorber in this paper. The results show that heat energy is generated during the jounce and rebound of the wheel, and therefore the thermal failure is unavoidable for the traditional shock absorbers. A dynamic model of energy recycling prototype is built, and two primary functions are verified through the test rig. Compared with bench test data, simulation results are proved to be available to guide the design of the equipment to capture the vibration energy of the shock absorber, and simulations also demonstrate the feasibility of recycling the vibration energy.
Psychological Well-Being pada Pengungsi Pencari Suaka yang Tinggal di Negara Transit

Abstract: The number of refugees and asylum seekers in Indonesia continues to increase. During the process of finding a solution, many things happen in their lives that have an impact on psychology. This study focuses on the psychological well-being of refugees seeking asylum in transit countries. This study used qualitative research methods. A purposive sampling technique was conducted to determine six subjects, consisting of groups of unaccompanied adolescents, heads of families, and single mothers. Data obtained through interview and observation methods. The reason the researchers used this research technique was to dig deeper into the psychological well-being aspects of refugees seeking asylum in transit countries. The results showed that age and positive social support greatly affected the psychological well-being of the unaccompanied adolescent group and the head of the family, while the lack of social support for the single mother group subject made the subject experience low psychological well-being. Indonesian Abstract. Jumlah pengungsi dan pencari suaka di Indonesia terus meningkat. Selama proses penemuan solusi, banyak hal terjadi dalam hidup mereka yang berdampak pada dampak psikologis. Penelitian ini berfokus pada kesejahteraan psikologis pengungsi pencari suaka di negara transit. Penelitian ini menggunakan metode penelitian kualitatif. Teknik purposive sampling dilakukan untuk menentukan enam subjek, yang terdiri dari kelompok remaja tanpa pendamping, kepala keluarga, dan ibu tunggal. Data diperoleh melalui metode wawancara dan observasi. Alasan peneliti menggunakan teknik penelitian ini adalah untuk menggali lebih dalam aspek kesejahteraan psikologis pengungsi pencari suaka di negara transit. Hasil penelitian menunjukkan bahwa usia dan dukungan sosial yang positif sangat mempengaruhi kesejahteraan psikologis subjek kelompok remaja tanpa pendamping dan kepala keluarga, sedangkan kurangnya dukungan sosial pada subjek kelompok single mother membuat subjek mengalami kesejahteraan psikologis. rendah.
A response to the European Data Protection Supervisor 'Misunderstandings in Biometrics' by the European Association for Biometrics

The intention of this position paper is to comment on the joint European Data Protection Supervisor (EDPS) ‐ Agencia Española de Protección de Datos (aepd) publication ‘14 Misunderstandings with regard to Biometric Identification and Authentication’ that was published in June 2020 and to provide additional input to help with the better understanding of the issues raised in that publication. In particular, it aims to highlight some important missing information in the afore-mentioned publication.
The NADIA: A Network Acceleration System with Defense against Network Invasion and Attack

Abstract Information security plays a critical role in the design of high-speed network systems, and much attention is focused on the Network Intrusion Prevention System (NIPS) which combines both a firewall and a Network Intrusion Detection System (NIDS). However, the current generation of NIDS/NIPS has several limitations on performance and effectiveness. In this paper, we describe the Network Accelerator with Defense against Invasion and Attack (NADIA) architecture as a network security card. The NADIA system consists of NADIA hardware for network and security processing and NADIA software for a device driver and a management agent. The goal of the network acceleration hardware is to reduce the overhead of the host CPU for network processing. And, the security function hardware performs operations such as network ACL, DPI, DDoS blocking, and session control, in order to check whether the received packets are malicious or not. Based on the performance evaluation, we can confirm that NADIA can reduce the CPU overhead of the network and security processing by a factor of 5~14.
High efficiency constant voltage control of LC/S compensated wireless power transfer converter based on pulse density modulation control

ABSTRACT In this work, the secondary side controlled wireless power transfer (WPT) converter using a LC/S compensation topology is proposed. The constant voltage charging control mode of the proposed converter is evaluated based on high efficiency. In the secondary side, a semi-bridgeless active rectifier (SBAR) is used for the output voltage regulation. In order to improve the efficiency performance of the converter, the pulse density modulation (PDM) control method is applied to the switches of the SBAR. The primary switches operate at the constant operation frequency as independent of the secondary side. There is no communication needed between primary and secondary sides of the proposed converter. Besides, the switches of the SBAR operate with soft switching. The basic principles of the LC/S compensation network and SBAR topology are presented with steady state analysis. The PDM control strategy applied to the switches of the SBAR is discussed. In order to validate the performance of the proposed converter, a prototype is built with 8 cm air gap coreless coupling coils. The input voltage of the converter is 30 V, and its maximum output power is 60 W. The maximum efficiency is achieved as 85.26% at full load condition during CV regulation.
Verification and validation of developed short-term forecasting models

Recent advancements in machine learning (ML) and artificial intelligence (AI) technologies provide an opportunity for leveraging data-driven algorithms to predict future nuclear power plant (NPP) operating conditions by using recorded plant process data. Successfully implementing these models can lead to cost-reducing, conditioned-based predictive maintenance through optimized maintenance schedules and a reduction of unnecessary maintenance activities. This report discusses the verification and validation of short-term forecasting processes (i.e., data cleaning, feature selection, model optimization, and forecasting) developed in previous reports. The verification and validation (V&V) process demonstrates the expected precision and accuracy when the ML model encounters new datasets from different systems. Shapley additive explanations were used as the primary means of feature selection across these different data set. Individual models were trained for each data set, then validated through a cross-validation procedure. In this report, two different ML models were tasked to predict variables from three different plant process data sets with varying prediction horizons. The results indicate that support vector regression (SVR) outperformed long short-term memory (LSTM) neural networks in regard to each data set and each prediction horizon in this study, but further tuning and optimization could improve long short-term memory results. However, each forecasting model showed reduced performance as the prediction horizon was extended from 1 hour to 1 day ahead. Research is ongoing to evaluate the optimal input variable space, which is based on a given set of process parameters, to further improve forecasting accuracy.
Broadband CPW‐fed circularly polarized square slot antenna with inverted‐L strips for wireless applications

This article proposes an impressive design of a circular polarized square slot antenna (CPSSA). The proposed single layer antenna composed of a square ground plane embedded with three unequal sized inverted‐L strips around corners, which are capable of generating a resonant mode for exciting two orthogonal E vectors. Compared to the previous similar CPSSA designs, the axial‐ratio bandwidth of the antenna is increased, more than two times. The designed CPSS antenna with its compact 40 × 40 × 0.8 mm3 size operates over the frequency band between 2.63 and 6.38 GHz for VSWR<2 exhibiting a 71.11% (3–6.1 GHz) circular polarization (CP) bandwidth. Throughout this letter, the improvement process of the axial ratio and S11 properties are presented and discussed in detailed. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:1399–1402, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26851
A SSD-Aware Dynamic Stripe Method for High Reliable RAID

NAND Flash-based SSD has gained prevalence in enterprise and embedded system as storage device because its high I/O performance, low-power consumption, and Anti-vibration characteristics. RAID consisting of SSD can achieve higher performance. However, it brings new problems such as parity disks suffering from premature aging, data disk aging simultaneously. This paper based on the variation of SSDs reliability, design a new RAID-5 architecture with dynamic stripe length. It can effectively reduce the disk space overhead and improve the safety performance of the RAID.
Sports Facilities as Urban Redevelopment Catalysts: Baltimore's Camden Yards and Cleveland's Gateway

Abstract Proponents of sports facilities have justified public expenditures on these projects with the claim that they catalyze redevelopment in downtown areas. To date, little research has assessed this rationale. This article investigates the impacts from two well known sports projects, draws conclusions from the experiences of these cities, and assesses the ability of sports facilities to catalyze redevelopment at the district level. Evidence indicates that sports facilities offer opportunities to catalyze redevelopment, defined as the development of vacant land, the reuse of underutilized buildings, and the establishment of a new district image, but that district redevelopment is by no means guaranteed by these investments.
Low-voltage low-power CMOS full adder

Low-power design of VLSI circuits has been identified as a critical technological need in recent years due to the high demand for portable consumer electronics products. In this regard many innovative designs for basic logic functions using pass transistors and transmission gates have appeared in the literature recently. These designs relied on the intuition and cleverness of the designers, without involving formal design procedures. Hence, a formal design procedure for realising a minimal transistor CMOS pass network XOR-XNOR cell, that is fully compensated for threshold voltage drop in MOS transistors, is presented. This new cell can reliably operate within certain bounds when the power supply voltage is scaled down, as long as due consideration is given to the sizing of the MOS transistors during the initial design step. A low transistor count full adder cell using the new XOR-XNOR cell is also presented.
Extraction of the Parameters from I-V Data for Nonideal Photodetectors: A Comparative Study

Parameters that characterize semiconductor devices are often determined with difficulty, and their values very frequently depend on the method used for measurements and analysis. The extraction of diode parameters from the obtained I-V measurements could be complicated by their dependence on the voltage and the presence of series resistance. Therefore, an interpretation of the experimental I-V data must be very carefully made. In this paper, some methods for obtaining diode parameters such as saturation current, ideality factor and series resistance are presented. An evaluation of these methods based on their application for the extraction of the relevant parameters of photodiodes is also performed. Some of the methods that produce reliable and reproducible results are evaluated based on the experimentally obtained results, and in the view of the complexity of the used methods and their limitations.
Automated Alarm Based on Intelligent Visual Analysis

Abnormal event detection and automated alarm are the important tasks in visual surveillance applications. In this paper, a novel automated alarm method based on intelligent visual analysis is proposed for alarm of abandoned objects and virtual cordon protection. Firstly the monitoring regions and cordons position are set artificially in the surveillance background scenes. The forground motion regions are segmented based on background subtraction model, and then are clustered by connected component analysis. After motion region segmentation and cluster, object tracking based on discriminative appearance model for monocular multi-target tracking is utilized. According to the motion segmentation and tracking results, alarm is triggered in comparison with the monitoring regions and cordons position. Experimental results show that the proposed automated alarm algorithms are sufficient to detect the abnormal events for alarm of abandoned objects and virtual cordon protection.
Metallspongiöse Femurteil- und Totalendoprothesen zur chirurgischen Behandlung maligner Tumoren - Uncemented Cancellous Bone Femoral Component and Total Prosthesis Replacement for the Treatment of Malignent Bone Tumors

Schlüsselwörter: Maligne Knochentumoren, zement freie Huf tund Kniegelenkendoprothetik, Femurteilund Totalendoprothesen Eine suffiziente chirurgische Therapie maligner Tumoren des Femur verlangt eine ausgedehnte Resektion mit erheblichem Substanzdefekt. Durch die zementfrei zu verankernden metallspongiösen Femurteiloder Totalendoprothesen sind Gliedmaßen erhaltende Eingriffe möglich. Eine sichere primäre und sekundäre Fixation gewährleistet gute f unktionelle Ergebnisse. Anhand von Fallbeispielen wird das chirurgische Vorgehen dargestellt.
Deformation of Shape Memory Alloys Due to Thermo-Induced Transformation

In this paper, a macro-scale, phenomenological constitutive model for shape memory alloys is used in conjunction with energy balance equations to study the evolution of temperature and deformation profiles seen in SMA wires under specific thermal and mechanical boundary conditions. The general, fully coupled thermo-mechanical problem is formulated and analytical solutions are determined for the decoupled case and limit cases. Results for two specific initial/boundarv value problems are presented here: 1) resistive heating of an SMA wire-initial detwinned martensite leads to strain recovery (contraction) on heating; 2) deformation wave in a semiinfinite, initially austenitic SMA wire cooled at the boundary-deformation zone propagates and expands as the wire transforms to martensite (expansion). In both cases, the region and extent of transformation is identified, indicating the magnitude of actuation obtained. Implications of the modeling for the active control of structures are discussed.
Predicting the effects of vibration frequency and axis, and seating conditions on the reading of numeric displays

Ten subjects performed a numeral reading task under five levels of sinusoidal whole-body vibralion at various frequencies in each of the three translational axes. In the z-axis the vibration frequencies were spaced at half octaves between 2-8 and 63 Hz, and in the x and y-axes at half octaves between 2-8 and 32 Hz. All of the vibration conditions were presented with two sealing conditions: hard flat seat with fixed footrcst and a simulated helicopter seat with moving footrest. With both seats the effect of vibration level on reading accuracy was found to be significant at all but the highest frequencies of z-axis vibration. It was also significant for x-axis vibration with the simulated helicopter seat, but not for x-axis vibralion with the flat seat or for y-axis vibration with either seat. Results are presented in the form of equal performance contours.Measures of translational and rotational head motion were also made for each vibration axis and seat. Very little vibration was found to be transmitted t.
Combating crime in Gauteng, South Africa: a paradigm shift

South Africa offers a valuable laboratory to study criminality because of its high levels of crime due to a heterogeneous environment of people, cultures, and economic development. This paper assesses the limitations of conventional practices in combating crime and illustrates the application of innovative artificial intelligence software to assumed unrelated databases - demographic, geographic, socio-economic and others - to find more effective ways to prevent criminal incidents. True unsupervised machine learning artificial intelligence software developed in South Africa provides neural network prediction of criminal incidents by identification of supposedly unrelated variables. Application of the software to find the hidden critical factors leading to bank robberies is illustrated in a specific case, where a robbery at a specific bank branch was predicted with an exceptionally high level of accuracy.
Promoting cooperation in construction projects: an integrated approach of contractual incentive and trust

Contractual incentive and trust are two commonly used governance mechanisms that help to promote inter-organizational cooperation. Little is known, however, about the boundary conditions for the complementation of these two governance mechanisms. The aim is to investigate the interaction of contractual incentive and trust in promoting inter-organizational cooperation. A three-staged Stackelberg model was established and then solved by backward induction. Research results indicate that contractual incentive can motivate the contractor’s task behaviours, while the effect of trust on relational behaviours is path-dependent. Three levels of factors (intra-organizational, inter-organizational and project factors) would affect the selection of the optimal incentive coefficient. Moreover, when the changing rate of the client’s cost of effort is less than or equal to a threshold, contractual incentive and trust can be complementary. The study contributes to theory by offering nuanced insights into the governance mechanisms and addressing the complex contracting issues when mutual trust exists. In addition, this study can help to create favourable circumstances for the complementation between contractual incentive and trust, achieving a better project outcome and relational benefit.