Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy Harvesting Techniques for Wireless Sensor Networks/Radio-Frequency Identification: A Review

In the near future, symmetry technologies for the Internet of Things (IoT), along with symmetry and asymmetry applications for IoT security and privacy, will re-design the socio-ecological human terrain morphology. The IoT ecosystem deploys diverse sensor platforms connecting billions of heterogeneous objects through the Internet. Most sensors are low-energy consuming devices which are designed to transmit sporadically or continuously. However, when we consider the billions/trillions of connected sensors powering various user applications, their energy efficiency (EE) becomes a critical issue. Therefore, the importance of EE in IoT technology cannot be overemphasised, specifically the development of EE solutions for sustainable IoT technology. Propelled by this need, EE proposals are expected to address IoT’s EE issues. Consequently, many developments have been displayed, and highlighting them to provide clear insights into eco-sustainable and green IoT technologies is becoming a crucial task. To pursue a clear vision of green IoT, this article aims to describe the current state-of-the art insights into energy-saving practices and strategies on green IoT. The major contribution of this study is the review and discussion of the substantial issues enabling hardware green IoT to focus on green wireless sensor networks and green radio-frequency identification. This review paper will contribute significantly to the future implementation of green and eco-sustainable IoT.
An Intrusion Prevention Technology Based on Dynamic Random Password Authentication in Wireless Sensor Networks

Security is an important problem in wireless sensor networks. Intrusion detection system is one of the most common methods of network security, for which more and more people have shown solicitude. In this paper, a dynamic random password authentication (DRPA) method is proposed for the identity authentication of communication nodes, which can detect and prevent malicious behavior at each stage of the network operation. This paper introduces the method of automatic generation of random passwords. When a user wants to communicate, the password will be verified to confirm whether it is a normal user or a malicious user. The password’s generation and verification process is very suitable for wireless sensor networks. By using NS2, the simulation experiments are carried out and the results show that this method is superior to the other methods.
Étude de la cinétique chimique et des propriétés de transport d'un plasma d'arc SF6-C2F4 en déséquilibre thermique. Application à l'étude des disjoncteurs haute tension

La modelisation d'un disjoncteur haute tension par un modele MHD necessite des banques de donnees de proprietes du plasma afin de simuler le comportement de l'arc electrique. L'hypothese d'equilibre thermodynamique local est souvent utilisee afin de calculer ces proprietes. Cependant les conditions d'equilibre ne sont pas remplies pres des parois ou des electrodes, ou lors du passage par zero du courant. Les ecarts a l'equilibre (thermique notamment) modifient alors considerablement la chimie et les proprietes du plasma. L'etude de ces proprietes dans ces conditions necessite alors de supposer que le plasma est a deux temperatures (2T). Le calcul des proprietes du plasma a 2T fait l'objet de cette these. La premiere partie de cette these presente le contexte industriel a l'origine de cette etude. Les hypotheses de base qui sous-tendent l'hypothese 2T sont ensuite rappelees. Dans cette partie une attention speciale est portee aux temperatures caracteristiques de peuplement des modes d'energies internes. Deux jeux d'hypotheses portant sur ces temperatures sont utilises dans ces travaux, et le choix de ces hypotheses est discute. La deuxieme partie de ce travail est consacree au calcul de composition d'un plasma de SF6-C2F4 a 2T. Ce calcul sera fait avec deux methodes differentes : la premiere repose sur la loi d'action de masse etendue a 2T, et la seconde sur un calcul collisionnel-radiatif. Des exemples de composition obtenus avec ces deux methodes sont presentes. Les hypotheses portant sur les temperatures de peuplement des niveaux d'energies internes sont discutees au vu de ces resultats. Le troisieme chapitre de cet ouvrage aborde le calcul des proprietes thermodynamiques a 2T du plasma. Les formulations theoriques de chacune de ces proprietes sont d'abord rappeles, et les resultats issus de ces expressions sont ensuite presentes et discutes, pour les deux methodes de calcul de la composition. Le quatrieme chapitre est dedie au calcul des coefficients de transports d'un plasma de SF6-C2F4 a 2T. Cette partie s'appuie sur une etude bibliographique des methodes de calcul deja existantes et des donnees indispensables a l'obtention de ces proprietes (integrales de collision). Pour chaque propriete (viscosite, conductivite electrique et conductivite thermique) les differentes methodes de calcul recensees dans la litterature sont comparees. Le choix de la technique de calcul la plus appropriee est realise par confrontation de resultats a l'ETL. Une attention toute particuliere est portee au calcul de la partie reactive de la conductivite thermique, et une formulation adaptee aux besoins de ce travail est proposee. Les resultats issus de ces expressions sont presentes et discutes suivant la meme logique quand dans le chapitre precedent.
Solar “Meta-Sails” for Agile Optical Force Control

We propose to use metasurfaces as a means of controlling optical forces for increasing the range of motions in spacecraft solar sails. Specifically, we present a theoretical study of metasurface structures that allow one to achieve attractive, lateral, and rotational forces, in addition to the conventional repulsive force. Such solar “meta-sails” may facilitate future travels in the solar system and toward exoplanets.
A Codesign Methodology for Constrained Networked Systems With Frequency Specifications

This brief addresses a controller/fault detector and scheduling protocol codesign scheme in the finite frequency domain for a class of constrained networked systems. By considering the data transmission in both sensor-control center and control center-actuator channels, a switched stochastic system is first modeled. With the aid of the mode-dependent average dwell time, sufficient conditions are subsequently investigated to capture the desired performances including the finite frequency one, in which the relationship between the node accessing rate and the performances is developed. Then, node-dependent controller/fault detectors and the scheduling protocol are codesigned by the derived conditions. Finally, an application to the High Alpha Research Vehicle (HASV) is given to illustrate the effectiveness of the proposed scheme.
High-speed path following control of skid-steered vehicles

We present a robust control scheme for skid-steered vehicles that enables high-speed path following on challenging terrains. First, a kinematic model with experimentally identified parameters is constructed to describe the terrain-dependent motion of skid-steered vehicles. Using Lyapunov theory, a nonlinear control law is defined, guaranteeing the convergence of the vehicle to the path. To allow smooth and accurate motion at higher speeds, an additional linear velocity control scheme is proposed, which takes actuator saturation, path following error, and reachable curvatures into account. The combined solution is experimentally evaluated and compared against two state-of-the-art algorithms, by using two different robots on several different terrain types, at different speeds. A Robotnik Summit XL robot is tested on three different terrain types and two different paths at speeds up to ≈ 2 . 5 m/s. A Segway RMP 440 robot is tested on three different terrain types and two different path types at speeds up to ≈ 6 m/s.
Tècniques d'alta directivitat en antenes microstrip amb superstrat

in English, 250 words or less): The huge expansion of increasingly compact and small devices has led to a significant change in the way of analyzing, designing and implementing future improvements in the telecommunications worlds. Due to this fact, it so important to take in consideration, ways of providing highly efficient systems with the least possible economic impact. This work will focus on the study of microstrip antennas, as they are currently one of the most important and popular kinds of antennas in the wireless communications market. The actions that will be carried out throughout the work will be for example, changing the size of the different structures through the IE3D simulation software. The analysis of the simulated results will be compared with the theoretical results and the corresponding comparatives of the most important parameters that intervene in the real design of an antenna (directivity, efficiency, currents, losses, radiation diagrams, etc.). The main objective of this work is to analyze and study through related articles, some of the current techniques that allow a high directivity without the need to use grouping of antennas. In this way, the impact of designing structures with geometries, shapes, techniques and different sizes in the improvement of the directivity, antenna efficiency and radiation, improvement of the beams of the radiation diagram among others will be studied.
NEW PREDICTOR-CORRECTOR APPROACH FOR NONLINEAR FRACTIONAL DIFFERENTIAL EQUATIONS: ERROR ANALYSIS AND STABILITY

In this paper, the predictor-corrector approach is used to propose two algorithms for the numerical solution of linear and non-linear fractional differential equations (FDE). The fractional order derivative is taken to be in the sense of Caputo and its properties are used to transform FDE into a Volterra-type integral equation. Simpson’s 3/8 rule is used to develop new numerical schemes to obtain the approximate solution of the integral equation associated with the given FDE. The error and stability analysis for the two methods are presented. The proposed methods are compared with the ones available in the literature. Numerical simulation is performed to demonstrate the validity and applicability of both the proposed techniques. As an application, the problem of dynamics of the new fractional order non-linear chaotic system introduced by Bhalekar and Daftardar-Gejji is investigated by means of the obtained numerical algorithms.
Review of XSS Attack and Detection on Web Applications

Aiming at the difficulties to prevent Web applications to be maliciously injected which are increased by all kinds of dynamic Web technologies applied, concentrate on XSS attack, this paper reviews the research progresses of Web application injection vulnerabilities detection in recent years. It summarizes the classification and causes of the XSS injection security vulnerabilities, analyzes the complexity of security vulnerabilities detection; then proposes the key technologies of the existing detection approached, including analyzing and identifying the injection points, injection detection by software analysis and testing, symbolic execution, taint analysis; finally presents its future development direction. Introduction With the rapid development of Internet technology, Web applications are widely used in all aspects of life. Unfortunately, the Web security technology is not so strong that Web applications are often maliciously attacked. It is the complexity of the Web application structure and dynamic Web technology[3], that greatly increases the complexity to detect the Web application injection and proposes the challenge to the research of the problem [4-6]. First, users interacting with Web applications in more flexible and dynamic ways[7-8] also provides attackers many more hidden approaches for illegal operation and attack. Second, browser script sets up many obstacles for attack detection. Third, the dynamic characteristic of JavaScript language and Ajax technology fulfill users’ real-time, interactive and responsive demand. However, they make the architecture of Web applications more complicated to detect injection vulnerabilities. According to OWASP [1], considering different attack sources, injection attacks of Web application include SQL injection, XSS (Cross Site Scripting) attack, XML injection and XPATH injection. Among these, XSS attackers use website loopholes to embed malicious HTML or client Java Script codes into Web pages. When users browse the Web pages, the malicious codes will be executed to steal user’s Cookies, hijack user’s sessions, phishing or pharming[10]. XSS attacks nearly become the most serious threaten to the safety of Web applications. This article reviews the classifications, causes and detection of XSS attacks. The Classification of XSS Attack Reflected Type Attackers forge links containing malicious codes and entice users into opening the links. Once the link is opened, the malicious codes are executed. Because it can only be 798 Advances in Computer Science Research (ACRS), volume 54 International Conference on Computer Networks and Communication Technology (CNCT2016)
KUALITAS SUMBER DAYA MANUSIA TERHADAP PEMBIAYAAN MURABAHAH PENGEMBANGAN UMKM

Penelitian ini dilakukan dengan tujuan untuk mengetahui untuk mengetahui pengaruh kualitas sumber daya manusia terhadap pembiayaan murabahah produktif Bank Syariah Mandiri dalam pengembangan UMKM di Kabupaten Bone. Jenis penelitian yang digunakan dalam penelitian ini bersifat deskriptif kuantitatif guna mengungkap fakta yang berkaitan dengan faktor yang memengaruhi perkembangan UMKM di Kabupaten Bone yang dibiayai oleh PT Bank Syariah Mandiri. Adapun populasi dalam penelitian ini adalah nasabah pembiayaan mikro yang berjumlah 280 yang bersifat homogen. Hasil penelitian menunjukkan bahwa kualitas sumber daya manusia terhadap pembiayaan murabahah produktif di Bank Syariah Mandiri dalam pengembangan UMKM cukup tinggi dalam menjalankan usahanya sehingga memiliki pengaruh positif dan signifikan terhadap pembiayaan murabahah produktif Bank Syariah Mandiri dalam pengembangan UMKM di Kabupaten Bone. Implikasi dari penelitian ini, pembiayaan murabahah produktif yang direalisasikan oleh Bank Syariah Mandiri diharapkan mampu memberikan kesempatan kepada pelaku UMKM untuk mengembangkan kompetensi yang dimiliki dengan senantiasa berkreasi dan berinovasi yang dilandasi dengan nilai-nilai bisnis berdasarkan syariat Islam.
Analisis Cluster Perolehan Medali pada Asian Games 2018 Menggunakan Metode K-Means

Ab strak — Asian Games adalah ajang terbaik untuk membuktikan keunggulan dari masing-masing negara yang diukur dari jumlah medali yang diperoleh. Mayoritas peraih medali tertinggi di ajang Asian Games adalah negara yang tingkat perekonomian dan populasinya tinggi. Pada paper ini, kami akan membuktikan apakah ada hubungan antara jumlah medali yang didapat terhadap GDP growth dan populasi pada kontingen negara-negara peserta Asian Games 2018. Metode yang digunakan adalah K-Means Clustering. Hasil dari penelitian ini adalah pembuktian apakah terdapat hubungan antara jumlah medali yang didapat dengan GDP growth dan populasi kontingen negara-negara peserta Asian Games 2018. Kata Kunci—Asian Games, GDP growth , populasi, clustering , K-Means
Comparaison d'algorithmes de réduction modulaire en HLS sur FPGA

Dans ce travail, nous comparons differents algorithmes de reduction modulaire implantes en synthese de haut niveau sur FPGA pour des applications de cryptographie asymetrique. Nous etudions comment effectuer les reductions modulaires en fonction des tailles et formes (parti-culieres/quelconques) des moduli, du type et du nombre des autres operations arithmetiques impliquees. Pour cela, nous developpons une bibliotheque C, qui sera distribuee sous licence libre, d'arithmetique modulaire pour la cryptographie asymetrique. Mots-cles : arithmetique modulaire, conception en synthese de haut niveau, exploration d'architectures et d'algorithmes, circuit FPGA.
Analysis of Pulsating White Dwarf Star Light Curves

Analysis techniques are presented for extracting the frequencies contained in the light curves of pulsating white dwarf stars. In several surface temperature regimes, these astronomical objects are unstable to gravity mode pulsations which result in brightness variations corresponding to the periods of the excited modes. There is a rich array of possible periods with values ranging from about 100 to 1000 seconds. Mode periods present in the light curve are detected by undertaking a Fourier analysis of the time series light curve; theoretical models of the star can be refined with this information. The Fourier analysis needs to take into account such things as finite length, data gaps and the presence of noise.
Heuristiques pour le Routage Multicritère

Les applications dans les reseaux actuels deviennent de plus en plus gourmandes en ressources et exigeantes en qualite de service. Ainsi, le routage doit satisfaire plusieurs contraintes telles que le delai, la bande passante ou la gigue. Il s'agit alors d'appliquer un routage multicritere. Plusieurs solutions algorithmiques existent dans la litterature. L'un des algorithmes les plus performants est SAMCRA (Self Adaptive Multiple Constraints Routing Algorithm) propose par Kuipers et Van Mieghem en 2001. SAMCRA est un algorithme multicritere unicast exact mais de grande complexite. Dans notre etude, nous remplacons SAMCRA par un algorithme de calcul des k plus courts chemins. Les simulations montrent que l'application d'un tel algorithme reduit de maniere significative la complexite des calculs, tout en obtenant des solutions satisfaisantes.
Iterative modeling of wind turbine power curve based on least‐square B‐spline approximation

Power curve plays a vital role in design, operation, control, and condition monitoring of wind turbines. Especially, it provides necessary information for wind farm maintenance decisions, allowing for not only comparison among the same type of wind turbines installed in different places, but also the same one at different time stamps. A standardized power curve iterative modeling procedure of wind turbines is proposed based on actual supervisory control and data acquisition (SCADA) data for performance evaluation in an online manner with guaranteed smoothness. The data are firstly preprocessed for anomaly detection by following normalization correction and then sliced into different wind speed bins. The least‐square B‐spline approximation method is iteratively implemented for power curve construction based on dominant points selected from the bin centroids, and turbulence intensity correction and outlier detection are conducted iteratively for refining identification results. Finally, the test results based on actual operating SCADA data demonstrate better performance in comparison with two counterparts.
A System of Mining Semantic Trajectory Patterns from GPS Data of Real Users

Positioning devices allow users’ movement to be recorded. The GPS (Global Positioning System) trajectory data typically consists of spatiotemporal points, which make up the major part of the big data concerning urban life. Existing knowledge extraction methods about the trajectory share a general limitation—they only investigate data from a spatiotemporal aspect, but fail to take the semantic information of trajectories into consideration. Therefore, extracting the semantic information of trajectories with the context of big data is challenging pattern recognition task that has practical application prospects. In this paper, a system is proposed to extract the semantic trajectory patterns of positioning device users. Firstly, a spatiotemporal threshold and clustering based pre-processing model is proposed to process the raw data. Then, we design a probabilistic generative model to annotate the semantic information of each trajectory after the pre-processing procedure. Finally, we apply the PrefixSpan algorithm to mine the semantic trajectory patterns. We verify our system on a large dataset of users’ real trajectories over a period of 5 years in Beijing, China. The results of the experiment indicate that our system produces meaningful patterns.
The Most Common Stream Width is Remarkably Invariant with Changes in Hydrologic Conditions

THE MOST COMMON STREAM WIDTH IS REMARKABLY INVARIANT WITH CHANGES IN HYDROLOGIC CONDITIONS Eric Barefoot Under the direction of Dr. Tamlin Pavelsky Headwater streams, despite being a significant natural resource, and a critical element of the hydrosphere, remain an understudied system. Anyone who has observed small creeks and rivers closely will know that stream width is highly variable, and depends on the hydrological conditions in the catchment. Stream width (and by extension, surface area) is a critical parameter for a number of important hydrological and biogeochemical processes. Even so, to date there is no consistent study of dynamic stream widths throughout an entire headwater catchment. Here are presented data and observations documenting the spatial and temporal variability of stream width in a single 0.484 km2 headwater catchment in central North Carolina, USA. The frequency distribution of stream widths in the catchment follows a lognormal distribution. Two opposing processes that scale with discharge impact the width distribution. One is at-a-point stream widening, and the other is dynamic network expansion. Despite high spatial and temporal width heterogeneity, the width distribution is remarkably stable with discharge, with a mode width that lies in a narrow range. These results suggest that at-a-point widening and network expansion are roughly in balance, and the relative impacts of each are analyzed.
Scalable and Robust Distributed Algorithms for Privacy-Preserving Applications

We live in an era when political and commercial entities are increasingly engaging in sophisticated cyber attacks to damage, disrupt, or censor information content and to conduct mass surveillance. By compiling various patterns from user data over time, untrusted parties could create an intimate picture of sensitive personal information such as political and religious beliefs, health status, and so forth. In this dissertation, we study scalable and robust distributed algorithms that guarantee user privacy when communicating with other parties either to solely exchange information or to participate in multi-party computations. We consider scalability and robustness requirements in three privacy-preserving areas: secure multi-party computation (MPC), anonymous broadcast, and blocking-resistant Tor bridge distribution. MPC is one of the most generic problems in fault-tolerant computation. In MPC, a set of parties, each having a secret value (input), compute a common function over their inputs, without revealing any information about their inputs other than what is revealed by the output of the function. Usually, a certain fraction of the parties are controlled by a malicious adversary who makes the parties deviate arbitrarily from the protocol. In the past few years, several scalable solutions to MPC have been proposed. Unfortunately, most of these protocols are not practical due to reasons such as large hidden factors in their communication/computation complexities, non-constructive proofs, and load-balancing issues. Thus, system builders, when faced with a problem that falls under
License Plate Location Algorithm Based on Multi-phases

The location of license plate plays a crucial role in license plate recognition system.Based on the rich edge information and unique features of the license plate region,a practical and effective method of locating the plate was proposed.Firstly,the original image was transferred to HSI space,and the rough locations were detected by using the edge information of the characters and the operation of the mathematical morphology;and then,the accurate region of license plate was decided by the SOM using four features proposed by this paper.Finally,the experiments on 80 color images show that the efficiency of the proposed algorithm is 96.25%.