Miracle-dz/UniFAR-FTUs huggingface dataset:
New hybrid signature schemes with increasing level of resistance

Post-quantum cryptography is becoming an increasingly popular topic for research around the world. The global cryptographic community is on the verge of standardizing new post-quantum algorithms. The world’s largest organizations conduct their own research in this direction. In this article, two hybrid schemes are proposed. They are constructed on generalized methods of increasing resistance of authentication schemes. Hybrid schemes consist of a combination of two independent signature schemes, one of which is the well-known classical asymmetric electronic signature scheme and another one is post-quantum scheme. Thus, this paper suggests the combining Crystals-Dilithium scheme with Rabin scheme and Elgamal scheme respectively. The paper also provides estimates of public key and signature lengths. Conclusions are drawn about the expediency of using generalized methods of combining with such kind of schemes.
Finite Element Model for Free Vibration Analyses of FG-CNT Reinforced Composite Beams using Refined Shear Deformation Theories

The present article deals with the free vibration of functionally graded carbon nanotube reinforced composite (FG-CNTRC) beams employing various refined deformation theories and validates the accuracy and feasibility of these proposed theories. The theories involved are the first order shear deformation theory (FSDT) and other refined theories involving additional higher order terms. Carbon nanotubes (CNTs) are assumed to be oriented along the axis of the beam. Uniform and three types of different functionally graded (FG) distributions of CNTs through the thickness of the beam are considered. The rule of mixture is used to describe the effective material properties of the beams. The governing equations are derived using Hamilton’s principle and solved using the finite element method (FEM). A FEM code is compiled in MATLAB considering a C 0 finite element. The influences of different key parameters such as CNT volume fraction, distribution type of CNTs, boundary conditions and slenderness ratio on the natural frequencies of FG-CNTRC beams are investigated. It can be concluded that the above-mentioned parameters have significant influence on the free vibration of the beam and the accuracy of the proposed refined theories is good.
Energy-harvesting device with mechanical frequency-up conversion mechanism for increased power efficiency and wideband operation

In this paper, we propose an energy-harvesting device that uses snap-through buckling for mechanical frequency-up conversion. The proposed device consists of buckled slender bridges with a proof mass and cantilever beams attached on them. When subjected to a low-frequency vibration above the threshold acceleration value, the buckled bridges snap through between two equilibrium states, providing high acceleration to the attached piezoelectric cantilever beams and thus causing them to resonate at a high frequency. A maximum power of 131 μW was generated at an excitation frequency of 30 Hz and a peak acceleration of 30 m/s2 by using a proposed device.
A Study on Effect of Intelligent Speed Adaptation (ISA) to Bus Drivers

ntelligent Speed Adaptation (ISA) is a system that constantly monitors vehicle speed, local speed limit on a road and implements an action such as giving warning or discourages the drivers when the vehicle is detected to be exceeding the speed limit. A GPS connected to digital speed map allows Intelligent Speed Adaptation technology to continuously update the vehicle speed limit to the road speed limit. The main purpose of this project is to study the speed profile and effect on drivers psychology on Intelligent Speed Adaptation to bus drivers before and after the intervention of ISA technology. An experiment was conducted on GPS-ISA instrument involving about 20 respondents of Universiti Teknologi MARA (UiTM) Shah Alam Campus bus drivers from various backgrounds. The instrument used to collect data is GPS-ISA device. The data gained from GPS-ISA device is speed profile to specify the speeding and speed variation. To evaluate drivers psychology, a set of questionnaire was designed. The data gained from questionnaire are attention level, stress level, and ISA acceptance level. The result of total differences for all 20 respondents between the average speed before and after the intervention for Zone 1 to Zone 5 was-8.95 km/h. For drivers psychology results, most of the respondents are willing to use ISA system if given a chance. Majority of respondents did not felt any stress and distraction while driving by using ISA system. For conclusion, the ISA system proved to be efficiently reduced speed of busses in UiTM Shah Alam campus zone and can be used as an initiative in order to assist bus drivers to reduce speed of vehicles especially in campus zone.
A Survey on Different Solutions to DDoS Attacks

Denial of Service (DOS) attacks are an immense threat to internet sites and among the hardest security problems in today's Internet. The problem of DoS attacks has become well known, but it has been hard to find out the Denial of Service in the Internet. Distributed Denial of Service (DDoS) attack is a large-scale, coordinated attack on the availability of services of a victim system or network resource, launched indirectly through many compromised computers on the Internet. Researchers have come up with more and more specific solutions to the DDoS problem. However, existing DDoS attack tools keep being improved and new attack techniques are developed. It is desirable to construct comprehensive DDoS solutions to current and future DDoS attack variants rather than to react with specific countermeasures. In order to assist in this, we conduct a thorough survey on the problem of DDoS. We propose taxonomies of the known and potential DDoS attack techniques and tools. Along with this, we discuss the issues and defend challenges in fighting with these attacks. Based on the new understanding of the problem, we propose classes of solutions to detect survive and react to the DDoS attacks.
Designing [for] the future: Managing architectural parts through the principles of circular economy

The environmental impact of the construction and demolition industry is enormous, therefore the management of architectural “waste” and the existing building volume became of crucial importance for the design of sustainable buildings and cities. Considering the principles of circular economy, two possible approaches emerge. The first concerns the existing architectural stock and its future use, not as a whole but as upcycled separate modules. The second is oriented towards the incorporation of future management of architectural parts in the design of new constructions, also known as design for disassembly (DfD). The research highlights the capabilities of each material and the potential ways of reusing it. In the case of design for disassembly, the connectivity of construction elements is of equal importance to the materiality of the projects. Moreover, the observations include the logistics of reuse in a new construction, the incorporation of a former architectural part, whose function sometimes differs from its role in the original building. In the existing residential fabric, upcycling emerges as a practice of creative reuse of building elements. Nonetheless, each case should be individually evaluated. Though these processes have not been yet used at a great extent, this theoretical framework is a reminder that the creation of a new building is not a permanent condition, but an aggregation of materials that temporarily serve a given purpose.
Computational analysis of the digital footprint using machine learning and artificial intelligence

The article discusses the procedure of step-by-step formalization of the software model of the system for accounting and forecasting the effectiveness of employees of an IT enterprise The issue of control of social interaction is considered. The relational model from game theory based on a specific data model template is proposed. Generalization in form of highlighting the categorical apparatus of metrics that directly or indirectly affect the procedure for assessing work efficiency, downtime or incorrect use of a working device (computer) is proposed. An architectural model of the application is proposed and substantiated, a model of a system for working with metrics is determined, the implementation of the necessary analysis tools in form of a combination of various machine learning algorithms used in systems with a binary classification based on decision making by the operator (the object of analysis) is described. The article summarizes the economic effect of the implementation of this approach in employee control systems.
Design of inductors for the installation of induction soldering of pipeline joints in the oil and gas industry

The article discusses the use of induction brazing for connecting oil and gas pipelines. The rationale for the choice of induction brazing in the oil and gas industry is considered. The work calculates the main parameters of the inductor. On the basis of calculations, using a mathematical apparatus, a schematic diagram of an inductor with a diameter of 90 mm is created for installing induction soldering. It is proposed to use and develop inductors of various diameters (60, 90 and 135 mm) to create an induction unit that allows connecting pipelines of oil and gas equipment in order to increase the reliability of equipment and the efficiency of oil and gas production and processing.
Design, fabrication, and testing of microelectromechanical system spark gap switch based on streamer theory

In order to realize that the fuze micro system has both high security and miniaturization characteristics, the spark gap research of Micro-Electro-Mechanical System safety system is carried out. So that to solve the safe and reliable function of the spark gap switch under the low power supply voltage (35 V) of the fuze micro system, the gas gap size and electrode radius are shown to significantly affect the gas breakdown voltage using streamer theory. Based on these results, a spark gap switch with triggering electrodes is designed. The triggering electrode gap is 2 μm and the main electrode gap is 10 μm. A spark gap switch test circuit is designed based on the RLC circuit. Through finite element simulation, it is verified that the gas breakdown voltage increases nonlinearly with increasing gap size. Pre-breakdown spark gap switches were fabricated based on the surface silicon process and tested. The test results show that the conduction voltage values of the triggering electrode and the main electrode are basically consistent with the simulation and calculation results. The breakdown voltage of the main electrode can be greatly reduced by applying a certain voltage to the triggering electrode, realize the reliable function in the micro fuze system.
Autonomic Network Management for Software-Deﬁned and Virtualized 5G Systems

—The Fifth Generation (5G) system is envisioned to become more complicated, which imposes a great challenge on network management. But today’s manual and semi-automatic managing approaches are already costly and time-consuming. Thanks to new technologies, such as software-deﬁned networking and network function virtualization, a possibility of autonomic management is opened for the 5G system. In this context, a novel management framework in software-deﬁned and virtualized network is proposed by the SELFNET project so as to lower operational expenditure, improve user’s experience and reduce time-to-market of services. As a key part of this framework, an Autonomic Manager (AM) is designed to provide the network intelligence by means of machine learning techniques. In this paper, the functionality and mechanism of the AM, as well as an intelligence control loop, are presented. A 5G test-bed established to demonstrate the autonomic management, along with some results on collecting and selecting network metrics, are illustrated.
Group control of air-cooled gas apparatuses

The paper considers the possibility of reducing electric power consumption by aircooled gas apparatus of a gas compressor station. The authors propose a system with breakdown of ventilators into IV groups with five ventilators in each group. Comparison of operation modes of a traditional cooling system and a grouped one with fans speed regulation on the basis of a frequency converter showed that the grouped handling system saved up to 40% of electric power.
Conceitos sobre o modelo de campos e armas da competição

Up to now, the Fields and Weapons of the Competition Model has been publicized as a theoretical framework for many studies and, as such, it has appeared in a fragmented manner. Due to the level of consolidation the model has achieved, now is the time to present it integrally, so as to expose it to the appreciation of the scientific community dedicated to Corporate Strategy. Belonging to the Competitiveness theory and having scientific validity, the model is both qualitative and quantitative, and therefore presents some advantages over Porter’s model, as well as over the RBV and the Balanced Scorecard models. A simple idea has originated it: according to the customer’s interest, separating the so-called competitive advantages, so as to sort out those that interest him/her from those that do not. The first group consists of the fields of the competition; the latter corresponds to the weapons of the competition. The fields of the competition relate to the business´ competitive strategy, and the weapons of the competition related to the operational competitive strategies. This is the first of a series of three articles.
Evasive manoeuvres with a steering robot

In the pursuit of an objective rating on vehicle stability performance, it is always desirable to reduce disturbances and inconsistencies during experimental evaluations, especially the ones introduced by human drivers. This paper presents the development of a steering robot designed for closed-loop steering tasks during evasive manoeuvres. It describes the controller structure and discusses experimental results, in addition to simulation/vehicle model verifications and theoretical control analysis.
Journal of Finance, Banking and Investment, Vol. 5, No. 1, 2019. www.absudbfjournals.com

This study examines the exchange rate-growth nexus in Nigeria from 1981 to 2014. Using Autoregressive Distributed Lag (ARDL) Bounds test technique and TYDL causality approach, this study finds that effective exchange rate, output and the four selected macroeconomic variables are cointegrated in the long-run. We find that exchange rate has a positive impact on output in the long-run which coexist with the short-run lagged impact. This is more pronounced with the inclusion of financial sector development. Also, unidirectional causality runs from financial development and output to exchange rate. The findings of this study offer some important policy implications. We therefore recommend that government should be maintain the real exchange rate at equilibrium or stable state by encouraging a sufficiently rapid depreciation of nominal exchange rate and prevent further real appreciation. Hence, attempt to keep the real exchange rate at too low might have some adverse effect on output
Scaling of electromagnetic vibration energy harvesting devices

A review of the vibration energy harvesting literature has been undertaken with the goal of establishing scaling laws for experimentally demonstrated harvesting devices. In particular electromagnetic harvesting devices are investigated. Power density metrics are examined with respect to scaling length, mass, frequency and drive acceleration. Improvements in demonstrated power density of harvesting devices over the past decade are noted. Scaling laws are observed that appear to suggest an upper limit to the power density achievable with current harvesting techniques.
Issues of developing receiving equipment for the passive method of induced polarization

The article deals with the design of receiving equipment for the passive method of induced polarization (IP). It is shown that the best option for recording this kind of signals is a circuit with an input analogue part and amplification of 50-100 times, as well as an input gain of at least 3 MΩ and a digital part based on a modern twenty-four-bit analogue-to-digital converter (ADC). In this case, it is preferable to use one ADC per channel without multiplexing, for better suppression of inter-channel interference. Signal processing is performed using modern microcontrollers based on the Cortex M4 core, and then the data is transmitted via Bluetooth to a laptop or tablet, where visualization and post-processing is carried out. Thus, the proposed scheme for the implementation of the receiving equipment meets all the requirements for the receiving equipment for the passive IP method, and can be introduced into the practice of field work.
SUPPORTING ACTIVE USER INVOLVEMENT IN PROTOTYPING

The term prototyping has in recent years become a buzzword in both research and practice of system design due to a number of claimed advantages of prototyping techniques over traditional specification techniques. In particular it is often stated that prototyping facilitates the users’ involvement in the development process. But prototyping does not automatically imply active user involvement! Thus a cooperative prototyping approach aiming at involving users actively and creatively in system design is proposed in this paper. The key point of the approach is to involve users in activities that closely couple development of prototypes to early evaluation of prototypes in envisioned use situations. Having users involved in such activities creates new requirements for tool support. Tools that support direct manipulation of prototypes and simulation of behaviour have shown promise for cooperative prototyping activities. Examples of such tools are given and the ways that they support cooperative prototyping within various use domains are discussed.
Export-led Growth: Empirical Evidence from the MENA Region

The paper examines the export-led growth (ELG) hypothesis for nine Middle East and North Africa (MENA) countries in three-variable vector autoregressive and error correction models. When considering total exports, our results reject the ELG hypothesis in almost all of the countries examined. However, when considering only manufactured exports, we find no causality for countries with relatively low shares of manufactured exports in total merchandise exports and a bidirectional causality for countries with relatively high shares. The findings suggest that promoting exports may contribute to economic growth only after a certain threshold of manufactured exports has been reached.
Group Supervised Learning: Extending Self-Supervised Learning to Multi-Device Settings

We introduce a novel problem setting for self-supervised learning called Time-Synchronous Multi-Device Systems, which requires a solution in utilizing data from multiple data-generating devices during contrastive training. To this end, we propose a novel training setup, Group Supervised Learning ( GSL ), which is an extension of contrastive learning by contrasting time-series data gathered from different devices. GSL comprises of three main components, relating to Device Selection, Data Sampling and a novel loss function to enable contrastive learning in a group of devices. Comparisons were made between GSL and other semi-supervised and fully-supervised baselines, and the results demonstrated that our proposal is both data-efﬁcient and outperforms the baselines by as high as 0.15 in micro F1-score across 2 human activity recognition datasets.
Readout Circuits for a Z-axis Hall Sensor with Sensitivity Drift Calibration

Hall effect magnetic sensors have gradually gained dominance in the market of magnetic sensors during the past decades. The compatibility of Hall sensors with conventional CMOS technologies makes monolithic Hall sensor microsystem possible and economic. An attractive application is the contactless current sensor by using Hall sensors to measure the magnetic field generated by the electrical current. However, Hall sensors exhibit several non-idealities, i.e., offset, noise and sensitivity drift, which limit their precision. Therefore, effective techniques to reduce these imperfections are desired.This thesis presents the design of a new readout scheme for Hall magnetic sensor with low offset, low noise and low sensitivity drift. The Hall sensor is realized in N-well as Hall plate and modeled in Verilog-A for the purpose of co-simulation with interface circuits. The self-calibrated system is composed of two identical Hall plates, preamplifiers and a first-order ΣΔ modulator, which can be fully integrated monolithically. Four-phase spinning current technique and chopper stabilization technique have been employed to reduce the offset and 1/fnoise of Hall platesand OTA, respectively. Integrated coils are used to generate the reference magnetic field for calibration. The preamplifiers amplify the signal and separate the Hall voltage and reference voltage. The ΣΔ modulator reduces the thermal drift by using Hall voltage as the modulator input and reference voltage as the DAC output. This new calibration technique also compensates the thermal drifts of the biasing current and readout circuits.The overall system is implemented in NXP140nm CMOS process with 1.8V supply. The Virtuoso/Spectre simulation results show residual drifts lower than 10ppm/ C, which are 3-5 times lower than the state of the art. The input magnetic field and temperature range are ±100mT and -40 C to 120 C, respectively.
How do we measure the implementation of the World Health Assembly resolution on rheumatic fever and rheumatic heart disease in African countries? Rationale and design of an evidence-based scorecard.

BACKGROUND This article aims to explain the rationale and design for developing an evidence-based scorecard to monitor country-level implementation of the 71st World Health Assembly resolution on rheumatic fever and rheumatic heart disease (RHD) in Africa. RATIONALE A scorecard provides a simple and reliable tool for tracking progress over time and establishing accountability mechanisms. METHODS Development of the scorecard will incorporate engaging RHD stakeholders identified and categorised at a country level. We will conduct individual interviews to understand the barriers and facilitators to implementing the resolution. The Delphi technique will facilitate structured group discussions to develop appropriate indicators. Indicators will be linked to the resolution's goals to create strategic lines of action, to inform the scorecard. The scorecard will be quantitatively validated in real-life settings. DISCUSSION We deem that the rigor of the development process of this study will produce an evidence-based scorecard that is fit for purpose across Africa.