Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecting DNS Reflection Amplification DDoS Attack Originating from the Cloud

Different sizes of businesses are currently moving to the cloud as it is considered a key business enabler due to its benefits like minimizing the go live time and reducing the associated resources. Moving to the cloud introduces several confidentiality, integrity, and availability concerns. One of the key issues that affect availability is Distributed Denial of Service (DDoS). In such attacks, a cloud can be the source or the victim. DDoS attacks on a cloud can be much more harmful than its impact on a single physical server. One of the most recognized DDoS types is DNS reflection amplification attack. In this paper, we introduce a new technique to limit the sources of DNS reflection amplification attacks. In particular, we make use of the role of cloud hypervisors in managing all the virtualization environment traffic. The proposed technique can prevent scenarios ISP edge router ingress filtering will fail to prevent and is easier to implement.
Tapping the Knowledge of Dynamic Traffic Demands for Optimal CDN Design

The content delivery network (CDN) intensively uses cache to push the content close to end users. Over both traditional Internet architecture and emerging cloud-based framework, cache allocation has been the core problem that any CDN operator needs to address. As the first step for cache deployment, CDN operators need to discover or estimate the distribution of user requests in different geographic areas. This step results in a statistical spatial model for the user requests, which is used as the key input to solve the optimal cache deployment problem. More often than not, the temporal information in user requests is omitted to simplify the CDN design. In this paper, we disclose that the spatial request model alone may not lead to truly optimal cache deployment and revisit the problem by taking the dynamic traffic demands into consideration. Specifically, we model the time-varying traffic demands and formulate the distributed cache deployment optimization problem with an integer linear program (ILP). To solve the problem efficiently, we transform the ILP problem into a scalable form and propose a greedy diagram to tackle it. Via experiments over the North American ISPs points of presence (PoPs) network, our new solution outperforms traditional CDN design method and saves the overall delivery cost by 16% to 20%. We also study the impact of various traffic demand patterns to the CDN design cost, via experiments with both real-world traffic demand patterns and extensive synthetic trace data.
Study on Multipath Retrodirective for Microwave Power Transmission

In this paper, we verified the effectiveness of multipath retrodirective. We calculated and simulated the phase change of the pilot signal caused by the interference with multipath, and both results agreed. Thus, simulating multipath retrodirective, we clarified that the accuracy of multipath retrodirective is determined by the number of elements and the element interval of the Van atta array. Retrodirectivity became better with the number of antenna elements in multipath environment. The transmission efficiency was degraded by mutual coupling when the element interval was $\lambda /4$. When the element interval was $\lambda /2$ and antenna elements were increased, the maximum power was able to transmitted. Comparing maximum power in multipath environment to maximum power in free space, we clarified Multipath Retrodirective is more efficient.
Biometric Recognition Based on Fingerprint: A Comparative Study

Fingerprint recognition is regarded as one of the most popular and reliable techniques for automatic personal identification due to the well-known distinctiveness and persistence of fingerprints. A critical issue in biometric system design is the choice of classifier. In this paper, we conducted a systematic performance evaluation of the five classifiers (Neural Networks, Support Vector Machines configured with radial basis function, Optimum Path Forest, K-nearest neighbors and Extreme Learning Machine) for the task of biometric recognition based on fingerprint. Experimental results conducted on a publicly available database are reported whereby we observe that the Support Vector Machine significantly outperform the others classifiers according to accuracy measure calculated.
Dilution of Social Media Privacy: Security Vulnerabilities and Psychological Implications

In the contemporary society, Facebook, WhatsApp, Twitter, and Instagram are not merely words, but are synonymous to a person's identity. Though the extensive use of social media is capable of rendering a huge amount of benefits in terms of ease of communication, lightening marketing reach and so on, the graver sides of the same requires thorough research to evaluate its role in modelling the psychological structure of the society and the possible threats it poses to the new generation who are glued to the use of social media platforms on a daily basis. This paper aims to perform a deep dive into the psychological effects of social media platforms on the young population and attempts to experimentally relate the same with dilution of social media privacy as a possible side effect. At the same time, possible alternatives and corrective measures to such a problem are also suggested.
แนวคิดวิทยาศาสตร์ เรื่อง สารละลาย ของนักเรียนระดับชั้นมัธยมศึกษาตอนปลาย High School Students’ Understanding of Solution Concepts

บทคดยอ แนวคดเรองสารละลายจดเปนแนวคดพนฐานท สำคญในการเรยนเคม และชววทยา รวมถงการนำมาใช ประโยชนในชวตประจำวน อยางไรกตามการประเมนผล สมฤทธของนกเรยน เรองสารละลาย เนนทการคำนวณ มากกวาแนวคด การวจยครงนจงมจดมงหมายเพอสำรวจ แนวคดวทยาศาสตรของนกเรยนเรอง สารละลาย ของ นกเรยนระดบชนมธยมศกษาตอนปลาย จำนวน 50 คน จากโรงเรยนชายลวนแหงหนงยานฝงธนบรทเคยเรยน เนอหาเรอง สารละลาย มากอน เกบขอมลโดยใชแบบวด แนวคดวทยาศาสตร เรอง สารละลาย ซงเปนแบบทดสอบ แบบอตนย จำนวน 16 ขอ โดยใหนกเรยนเขยนอธบาย แนวคด เรอง สารละลาย ซงประกอบไปดวย 7 แนวคด หลก คอ สารละลายและองคประกอบของสารละลาย รอยละหรอสวนในรอยละ สวนในลานลวนและสวนใน พนลานสวน โมลารต โมแลลต เศษสวนโมล และการ เตรยมสารละลาย วเคราะหขอมลโดยอานคำตอบของ นกเรยนอยางละเอยดแลวนำ มาจดกลมตามแนวคด Abraham et al. (1994) ผลการวจยพบวาจำนวนนกเรยน ทมแนวคดถกตองคดเปนรอยละ 23 แนวคดทถกตอง บางสวนคดเปนรอยละ 32 แนวคดทถกตองบางสวนและ คลาดเคลอนบางสวนคดเปนรอยละ 26 แนวคดท คลาดเคลอนคดเปนรอยละ 4 และไมเขาใจหรอไมมแนวคด คดเปนรอยละ 15 ซงเรองทนกเรยนมแนวคดท คลาดเคลอนไมเขาใจและไมมแนวคดมากทสด คอเรอง โม ลารต และโมแลลต ผลทไดจากการวจยไดขอเสนอแนะวา ควรมการพฒนาการจดการเรยนร เรอง สารละลาย เพอ พฒนาใหนกเรยนมแนวคดเรองสารละลายใหถกตองมาก ยงขน ซงจะไดนำไปใชในชวตประจำวนและเปนพนฐานใน การเรยนวทยาศาสตรเรองอน ๆ ตอไป คำสำคญ: สารละลาย แนวคดวทยาศาสตร นกเรยน ระดบชนมธยมศกษาตอนปลาย เคมเพมเตม Abstract Solution concepts were one of the fundamental and important concepts for chemistry and biology, including the use in everyday life. However, the evaluation of students’ achievement in solution topic focused on the calculations rather than concepts. The purpose of this research had to explore students’ conceptual understanding about solution concepts. The participants were 50 high school students from a boy school in Thonburi district that had leaned solution concepts. The scientific concept questionnaire, which 16 open-ended items, was used to gather the information about students’ conceptual understanding in seven solution concepts. These were solution and composition of the solution, percentage, part per million and part per billion, molarity, molality, mole fraction and solution preparation. The data was analyzed by coding and grouping using Abraham et al (1994) ideas. The results found that 23 percent of students held sound understanding, 32 percent of students held partial understanding, 26 percent of students held partial understanding with a specific misconceptions, 4 percent of students held misconceptions and 15 percent of students do not have concept. The most difficulty concepts for most of the students were molarity and molality. The research results suggested that teaching and learning solution topic should promote students’ conceptual understanding effectively, so that students are able to use these concepts in their daily lives and in the basic of learning other science concepts. Keywords: Solution, Scientific Concept, High School, Additional Chemistry
Introduction to “Input and experience in bilingual development”

“The more you hear a language, the better you learn it” – a statement that seems almost trivially true. If you spend five years in Japan, chances are you will learn more Japanese than if you spend only a few weeks. If a bilingual child experiences more meaningful interactions in English every day than in Spanish, chances are her English will be stronger. Yet the relationship between language input and experience on the one hand, and language outcomes on the other, has proven to be much more complex than the simple one-to-one relation implied by this common-sense statement. What exactly do we mean by “more” input or experience? In what terms is quantity of exposure best understood, and how can we obtain accurate measurements of it? In addition to sheer quantity of input, what qualitative aspects of experience affect language development? Similar questions arise on the other end of the equation: What exactly do we mean by “it”, that is, the actual language outcomes we consider? Does it make a difference whether we look at vocabulary size, morphosyntax, processing speed, or abstract constraints on sentence interpretation? Does it matter whether we assess language outcomes in production or in comprehension, or whether we use standardized, omnibus tests of language skill versus custom-made tasks targeting specific linguistic prop erties? Finally, can we expect the relationship between input and outcomes to be a linear one, or are there potential thresholds beyond which the effects of variation in exposure may be diminished? The chapters in this volume all speak to one or more of these questions, reflecting the burgeoning interest in and research on input and experience in bilingual development, which had prompted the organization of two symposia on this topic at the congresses of the International Association for the Study of Child Language (IASCL), by Johanne Paradis in 2008, and by Theres Gruter in 2011. These sym posia provided the foundation for this volume. Chapters include research on early bilinguals, that is, children who have been exposed to two languages either from birth or within the preschool years. They represent a range of theoretical and meth odological approaches to the study of childhood bilingualism, covering a variety of language combinations and sociocultural co ntexts such as Spanish- En glish
Information Diffusion Nonlinear Dynamics Modeling and Evolution Analysis in Online Social Network Based on Emergency Events

A nonlinear dynamic emergency public event information diffusion system and mathematical model for public events are proposed based on the propagation dynamics. First, public emergency information communication is analyzed and designed, the opinion evolution is divided into and the viewpoint of value, influence, interest, conformity, intimacy five factors of information diffusion for public emergencies; second, the dynamic diffusion network is designed; information propagation mathematical public emergencies the final model is constructed; the proposed model and social reality and the true statistics of empirical experiments are simulated and analyzed. The experimental results show that the model and the real emergency public event propagation process are consistent, the development trend can predict public events, and the proposed mathematical model is reasonable and effective.
Evaluation of Power Processing in Series-Connected Partial-Power Converters

This paper proposes an analytical methodology to evaluate the power processed by dc–dc converters operating as series voltage regulators, which provide an alternative to increase efficiency in photovoltaic systems. Via the analysis of both active and nonactive power processing, the proposed methodology allows to clearly distinguish among circuit topologies as truly partial-power processing (PPP) or just partial active power processing topologies. When an isolated dc–dc topology is connected in series as a voltage regulator, the overall processed power can be reduced, which reduces power losses and improves efficiency. Conversely, this paper also demonstrates that some series-regulator topologies may not actually reduce the proportion of nonactive processed power. To demonstrate the applications of the proposed methodology and to emphasize its significance, two well-known series-connected voltage regulators (flyback and full-bridge phase shift) and a full-power regulator (boost) were evaluated. The results indicate that the full-bridge series regulator can perform a true PPP, whereas the flyback series-regulator processes the same amount of power as that processed by conventional nonisolated boost converters and cannot be considered a partial-power topology. This study finding contradicts assertions in the literature that this topology achieves high-efficiency dc–dc conversion through PPP. To confirm the theoretical analysis, experimental results from three 750-W prototypes are presented alongside its simulations.
On Using Clustering for the Optimization of Hydrological Simulations

Accurate water-related predictions and decision-making require a simulation of hydrological systems in high spatio-temporal resolution. However, the simulation of such a large-scale dynamical system is compute-intensive, and hence time consuming. One approach to circumvent these issues is to use landscape properties to reduce model redundancies and computation complexities. This work shows an ongoing project that applies existing clustering methods to identify functionally similar model units and runs the model only on representative model units. The proposed approach consists of several steps, in particular the reduction of dimensionality of the hydrological time series, application of clustering methods, choice of cluster representative, and study of the balance between the uncertainty of the simulation output and the computational effort.
PEMETAAN BASIS DATA RELASIONAL MENJADI BASIS DATA RDF UNTUK SISTEM PEREKOMENDASI KOLEKSI PERPUSTAKAAN

In order to develop a library recommender system based on Semantic Web technology, it is a must to exploit the use of RDF model database. In this paper we explain our experiences in converting library inforation systemâ€™s data from relational database (RDB) into RDF model database. We achieve it by using an open source tool, D2RQ. We test the RDF database by querying the data using SPARQL. The result showing that we can use this tool easily to obtain our objectives.
Analysis of the Relationship between the Parameters of IPT Transformer and Power Electronic System

Inductive power transfer (IPT) is a promising technology that can replace the wire based power transfer. Efficiency of these systems will be a critical performance index that will determine their future in commercial applications. This paper analyses a series-series(SS) compensated IPT system using Boucherot bridge current source model to establish the relationship between magnetic pad parameters (mutual inductance) and power electronic system parameters (input and output voltages and currents). Analysis was used to design a 3.7 kW IPT system. The design is validated with the aid of finite element analysis software, ANSYS Maxwell and Simplorer. The proposed design is capable of transferring power at an efficiency of 95.88%. Furthermore, analysis shows that the mutual inductance requirement decreases with the increase in rated power for a SS compensated IPT system.
Lattice-Partition-Based Downlink Non-Orthogonal Multiple Access Without SIC for Slow Fading Channels

In this paper, the problem of downlink non-orthogonal multiple access (NOMA) over slow fading channels is studied. Full-channel state information (CSI) is assumed at the receivers, while only the statistical CSI is assumed to be available at the transmitter. A novel lattice-partition-based scheme is proposed which, according to statistical CSI, employs discrete inputs from appropriately designed constellations carved from a lattice, rather than continuous Gaussian inputs as used in most existing works. Theoretical analysis shows that for any outage probability smaller than 63.21%, which covers almost all the cases of practical interest, the proposed scheme with single-user decoding, i.e., without successive interference cancellation (SIC) is able to approach the NOMA outage capacity region within a constant gap, independent of the signal-to-noise ratio, and the number of users. Simulation results fortify the effectiveness of the proposed scheme by showing that the approach without SIC can achieve outage rates that are very close to the outage capacity region and the gap becomes even smaller when SIC is employed.
Load Prediction of Space Deployable Structure Based on FBG and LSTM

To predict the dynamic load of space deployable structure, a novel prediction method based on fiber Bragg grating (FBG) sensors and long short-term memory (LSTM) neural network is proposed. The FBG sensors can measure strain values of the structure. The LSTM establishes the relationship between the strain values and load without a complex dynamic model. The LSTM first works in training mode, its input is strain values and output is the load. Then, the LSTM works in the prediction mode, which takes the current strain values as input and uses the trained network model to predict load. The network of LSTM is simple, which can achieve good prediction effect and shorten the running time. To evaluate the effectiveness of the proposed method, numerical simulations and experiments of space deployable structure with single-point input load are employed. The results demonstrate that compared with the method based on traditional neural network, the max error, root mean square error, and consuming the time of the proposed method are reduced by more than 43%, 21%, and 67%, respectively.
Consensus of Multiagent Systems With Nonlinear Dynamics Using an Integrated Sampled-Data-Based Event-Triggered Communication Scheme

This paper is concerned with the problem of event-triggered consensus for a nonlinear multiagent system. First, an integrated sampled-data-based event-triggered communication scheme is presented to decide when the current sampled-data should be broadcast. This scheme takes full advantage of both absolute and relative error-based event-triggered transmission schemes, and thus leading to a high efficiency of data transmissions. Second, a state-error-dependent delay system is delicately developed to model the multiagent system under the proposed sampled-data-based event-triggered consensus protocol. By virtue of the Lyapunov–Krasovskii functional method, a stability criterion and sufficient conditions on the existence of the consensus protocol and transmission scheme are derived to ensure that the solution of the state error dependent delay system is uniformly ultimately bounded. Finally, two illustrative examples are employed to show the validity and advantage of the proposed transmission scheme and consensus protocol.
Method to Organize and Analyze Speed Data to Detect Unusual Traffic Activity

In this paper, we analyze weekdays’ speed data from heavy traffic locations in Mexico City. The objective is to determine the “common denominator” speed from the weeks under study. For a specific location and time, speed data is compared between the same day for different weeks. Both a method and an algorithm are proposed to achieve this goal. The method conducts the following tasks: 1) organizes speed data of vehicles into “cell arrays”, 2) estimates “usual traffic” values from the raw data through a heuristic technique, and 3) detects unusual speed values by a comparison of raw speed values against estimated usual traffic values. The algorithm is employed to determine the expected speed, and a metric score compares the expected and the observed values, which in turn returns the locations and times that present anomalous results. The twelve top locations with the worst traffic conditions in Mexico City during 2016 were chosen. Measurements were realized in 2018. Results show that it is possible to detect the locations, days and times when the vehicles’ speed was unusual. This indicates that it is desirable to conduct further investigations to determine the causes inducing significant deviation, higher or lower, from the expected speed.
NetStar: A Future/Promise Framework for Asynchronous Network Functions

Network functions (NFs) are more than simple packet processors that apply various transformations to the packet content. Modern NFs often resort to various external services to achieve their purposes, e.g., storing flow states in an external storage or looking up a DNS. Working with external services is usually implemented using callback-based asynchronous programming, which is complex and error-prone. This paper proposes NetStar, a new NF programming framework that brings the future/promise abstraction to the NF dataplane for flow processing. NetStar simplifies asynchronous NF programming via a carefully designed async-flow interface that exploits the future/promise paradigm by chaining multiple continuation functions for asynchronous operations handling. The programs implemented using the NetStar framework mimic simple synchronous programming but are able to achieve full flow processing asynchrony. We have used NetStar to implement a number of representative NFs. Our experience and evaluation results show that NetStar can effectively simplify asynchronous NF programming by substantially reducing the lines of code, while still approaching line-rate packet processing speeds.
Magnetization AC Losses of Quasi-Isotropic Strand Stacked by 2G Wires at 77 K

This paper numerically and experimentally investigates the magnetization ac losses in quasi-isotropic strand under external ac magnetic field at 77 K. The measurements of ac losses were carried out by the pick-up coil method in ac magnetic field at amplitudes from 0.03 to 0. 25 T and at frequencies between 20 and 100 Hz. Simulations made by a two-dimensional finite element method (FEM) model based on H-formulation were performed to predict the measured results. Because of the short length of sample and the existence of high transverse resistance between interwires in strand, the measured ac losses agree well with the simulation of magnetically uncoupled case. The coupling length of quasi-isotropic strand is found to be 1.422 m, based on the measured equivalent transverse resistivity of 1.342 mΩ·m. The full penetrated field of the strand at 77 K is 0.132 T, across which the frequency dependence of magnetization ac losses in strand becomes completely inversed. The systematic study on magnetization ac losses of quasi-isotropic strand could be the base for their applications in high field magnets.
Securing and managing apps on a device

Since the apps are, or before downloading to a device such as a smartphone or tablet device, or app to download, but the apps are allowed to access the device, the operating system prior to causing any potential damage, apps are secure or or security is wrapped (security-wrapped). App providers, such as an employer or a cell phone providers, and customers can hwahal security of their apps before they download the app from the App Store, Marketplace. This app is the app secure before it is allowed to access the device's operating system and prevents the app is harmful behavior. The core object code of the app is obtained and removed a digital signature (digital signature). The app object code is replaced with a security program object code, to create a security wrapped app. The security wrapped app for execution on the device and is ready to re-sign a new key.