Miracle-dz/UniFAR-FTUs huggingface dataset:
Processing and Analysis of Large-Scale Seismic Signal in Hadoop Platform

Through the usage of fifteen noteworthy ventures by the International Seismological Bureau, world has fabricated a seismic observing system, which makes all local and global seismic information that can be observed to published on a week after week for the client download. Given the immense measure of data on this information, Hadoop stage has possessed the capacity to oversee and capacity productively, and to break down more significant data. It has received appropriated storage to enhance the literacy rate and grow the capacity limit, also it has utilized MapReduce to coordinate the information in the HDFS (Hadoop Distributed File System) to guarantee that they are broke down and prepared rapidly. In the interim, it likewise has utilized excess information stockpiling to guarantee information security, in this way making it an instrument for taking care of extensive information.
Comparison between different grid methodologies for rotorcraft configurations

There is a wide variety of CFD grid types including Cartesian, structured, unstructured, and hybrids as well as numerous methodologies of combining grids together to reduce the time required to generate high quality grids around complex configurations. This paper presents a comparison of some of the different meshing techniques implemented within the Helicopter Multi-Block CFD method and highlights the merits of each. The paper also presents some of the challenges in developing CFD solutions that can cope with a variety of grids, and deliver efficient solutions.
Observer‐Based Consensus Tracking for Nonlinear Multi‐Agent Systems With Intermittent Communications

This paper addresses the observer‐based consensus tracking problem of multi‐agent systems with intermittent communications. The agent dynamics are modeled as general linear systems with Lipschitz nonlinearity. Under the assumption that each agent can intermittently share its relative output with neighbors, a class of an observer‐type protocol is proposed, and the consensus tracking problem can be converted further into the stability problem of the nonlinear switching systems. Using a combined tool from M matrix theory, switching theory and the averaging approach, a multi‐step algorithm is presented to construct the observer gains and protocol parameters, and the sufficient criteria established not only can ensure the state estimates convergence to the real values but also can guarantee the follower states synchronize to those of the leader. The obtained results reveal the relationships among the communication rate, the convergence rate, and the dwell time of switching topologies. Finally, the theoretical findings are validated by a numerical example.
Flipped Classroom Implementation: A Case Report of Two Higher Education Institutions in the United States and Australia

Abstract This case report explored the implementation of flipped classrooms at two higher education institutions. Experiences and publications from the institutions were used to identify and describe common themes, including successes and challenges encountered along with potential solutions to common misalignments, particularly as related to technology-enhanced learning. Strategies for selecting and delivering pre-class content, designing and implementing in-class activities, and identifying and using assessments to inform practice are described. Overall design considerations include instructor skill development, student buy-in, and institutional support for the model. This report highlights several critical approaches to effectively designing and implementing the flipped classroom model, with consideration given to the use of technology to support this innovation.
Techniques to Protect Confidentiality and Integrity of Persistent and In-Memory Data

Today computers store and analyze valuable and sensitive data. As a result we need to protect this data against confidentiality and integrity violations that can result in the illicit release, loss, or modification of a user’s and an organization’s sensitive data such as personal media content or client records. Existing techniques protecting confidentiality and integrity lack either efficiency or are vulnerable to malicious attacks. In this thesis we suggest techniques, Guardat and ERIM, to efficiently and robustly protect persistent and in-memory data. To protect the confidentiality and integrity of persistent data, clients specify per-file policies to Guardat declaratively, concisely and separately from code. Guardat enforces policies by mediating I/O in the storage layer. In contrast to prior techniques, we protect against accidental or malicious circumvention of higher software layers. We present the design and prototype implementation, and demonstrate that Guardat efficiently enforces example policies in a web server. To protect the confidentiality and integrity of in-memory data, ERIM isolates sensitive data using Intel Memory Protection Keys (MPK), a recent x86 extension to partition the address space. However, MPK does not protect against malicious attacks by itself. We prevent malicious attacks by combining MPK with call gates to trusted entry points and ahead-of-time binary inspection. In contrast to existing techniques, ERIM efficiently protects frequently-used session keys of web servers, an in-memory reference monitor’s private state, and managed runtimes from native libraries. These use cases result in high switch rates of the order of 105–106 switches/s. Our experiments demonstrate less then 1% runtime overhead per 100,000 switches/s, thus outperforming existing techniques.
Management And Security Of Multi-Cloud Applications

Single cloud computing platforms, like Amazon’s EC2, Google Cloud and Microsoft Azure, are common and popular today. Obtaining resources from a multiple cloud system gives clients competitive pricing, flexibility of resource provisioning, better points of presence and reduced risk of a total blackout. When these clients happen to be carriers, like Internet service providers, seeking to deploy their network services over multiple clouds, there still are many research challenges that inhibit large-scale deployments. This talk revolves around some of the key issues that were designated as "challenges" at the beginning of the network virtualization journey, and still need considerable research to see any kind of resolution in the near future. Specifically, I will present my work on the techniques that improve availability of virtual network services and secure inter-domain flow of data in the context of Internet of Things and multi-cloud based health networks.
Social media and peer feedback: What do students really think about using Wiki and Facebook as platforms for peer feedback?

Web 2.0 tools are becoming increasingly pervasive in higher education, and as a result, there is increasing interest in the use of online feedback activities. This study investigated students’ actual experiences and perceptions using social media, Wiki and Facebook, tools to provide peer feedback on students’ instructional material projects and to compare students’ experiences and perceptions of using Facebook and Wiki environments as a peer feedback tool. A total of 51 students responded to the questionnaire, and 14 students were also interviewed. A combination of quantitative and qualitative methods was employed to analyze the data. Results suggest that students benefited while engaging in the peer feedback process on both Wiki and Facebook. The data also indicated that the incorporation of Wiki and Facebook as a peer feedback tool improved critical thinking skills and improvement of material produced.
Cognitive radio spectrum allocation based on game theory

With the purpose of dynamic spectrum allocation in wireless cognitive network, this paper using Bertrand equilibrium model, proposed a dynamic Bertrand game algorithm of the channel price for licensed users. The relationship of the algorithm's stable Nash equilibrium and speed adjustment parameter was analyzed. One-order step response function was utilized to replace the non-concussive game process. Simulation results show that the method of using one-order step function to analysis the non-concussive game process is feasible, and the method is convenient for licensed users to make reasonable commerce game strategy and brings great business profits.
Usability Definitions in a Dynamically Changing Information Environment

The authors compared Web usability definitions, collected from library professionals at academic institutions of the Association of Research Libraries (ARL) through online surveys in 2007 and 2012, to determine whether library practitioners’ perspectives had altered as information technologies evolved during this time. The authors applied three techniques of statistical data analysis— t-tests, cluster analyses, and the Mantel test—for comparisons. The results indicated significant increased emphases on the Interface/Design and Effectiveness attributes in the 2012 data set. This increase may be due to the rise in the use of mobile devices for information access, driving practitioners to place a stronger emphasis on these attributes.
Ontology of psychological attributes on color emotions

The color research has much interest in exploring emotional responses to color stimuli, which are referred to as color emotions. In general, color emotions are measured through psychological methods and represented as values on rating scales. For further understanding of color emotions and development of their effective application, conceptual structure of color emotions and rating scales need to be shared among various disciplinary fields. One typical approach in sharing such knowledge is to clarify concepts as an ontology. In this paper, we specified color emotions based on psychological attributes and built an ontology with an ontology development environment Hozo and a top-level ontology YAMATO. As a result, our ontology describes 16 psychological attributes which are measured by rating scales on the basis of a concept of human awareness. Approximately 74.7 percent of instances of the psychological attributes, which are frequently used in articles on measurement of color emotions, are accounted by the 16 psychological attributes. By adding descriptions of psychological attributes which are infrequently used and have not been fully elucidate in the color research, our ontology would increase utility for knowledge sharing and be feasible in prompting scientific and engineered approaches to understand human mind.
Trade-Off Consideration in Sub-Ant-Colony Scheme

In this paper, the sub-ant-colony scheme is revisited to improve the solution quality of the ant colony system. In the scheme, an original ant colony is divided into several sub-antcolonies, and each sub-ant-colony individually works for its local optimal solution and the best solution among them is output as the final one. The number of ants in a total ant colony is the same as the sum of the ant numbers in individual sub-ant-colonies. Experiments with the TSP data are also conducted to show the approach in general performs better than the original ant colony system. The trade-off between local search and diversity for the scheme is discussed as well.
Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers

Cluster schedulers provide flexible resource sharing mechanism for best-effort cloud jobs, which occupy a majority in modern datacenters. Properly tuning a scheduler's configurations is the key to these jobs’ performance because it decides how to allocate resources among them. Today's cloud scheduling systems usually rely on cluster operators to set the configuration and thus overlook the potential performance improvement through optimally configuring the scheduler according to the heterogeneous and dynamic cloud workloads. In this paper, we introduce AdaptiveConfig, a run-time configurator for cluster schedulers that automatically adapts to the changing workload and resource status in two steps. First, a comparison approach estimates jobs’ performances under different configurations and diverse scheduling scenarios. The key idea here is to transform a scheduler's resource allocation mechanism and their variable influence factors (configurations, scheduling constraints, available resources, and workload status) into business rules and facts in a rule engine, thereby reasoning about these correlated factors in job performance comparison. Second, a workload-adaptive optimizer transforms the cluster-level searching of huge configuration space into an equivalent dynamic programming problem that can be efficiently solved at scale. We implement AdaptiveConfig on the popular YARN Capacity and Fair schedulers and demonstrate its effectiveness using real-world Facebook and Google workloads, i.e., successfully finding best configurations for most of scheduling scenarios and considerably reducing latencies by a factor of two with low optimization time.
Layered Orthogonal Frequency Division Multiplexing With Index Modulation

In this paper, we propose a novel scheme termed layered orthogonal frequency division multiplexing with index modulation (L-OFDM-IM) to increase the spectral efficiency (SE) of OFDM-IM systems. In L-OFDM-IM, all subcarriers are first divided into multiple layers, each determining the active subcarriers and their modulated symbols. The index modulation (IM) bits are carried on the indices of the active subcarriers of all layers, which are overlapped and distinguishable with different signal constellations so that the number of the IM bits is larger than that in traditional OFDM-IM. A low-complexity detection is proposed to alleviate the high burden of the optimal maximum-likelihood detection at the receiver side. A closed-form upper bound on the bit error rate, the achievable rate, and diversity order are derived to characterize the performance of L-OFDM-IM. To enhance the diversity performance of L-OFDM-IM, we further propose coordinate interleaving L-OFDM-IM (CI-L-OFDM-IM), which interleaves the real and imaginary parts of the modulated symbols over two different subchannels. Computer simulations verify the theoretical analysis, and results show that L-OFDM-IM outperforms the conventional OFDM-IM scheme. Moreover, it is also confirmed that CI-L-OFDM-IM obtains an additional diversity order in comparison with L-OFDM-IM.
Optimal Design of Experiments in the Presence of Interference*, Second Version

This paper formalizes the optimal design of randomized controlled trials (RCTs) in the presence of interference between units, where an individual's outcome depends on the behavior and outcomes of others in her group. We focus on randomized saturation (RS) designs, which are two-stage RCTs that first randomize the treatment saturation of a group, then randomize individual treatment assignment. Our main contributions are to map the potential outcomes framework with partial interference to a regression model with clustered errors, calculate the statistical power of different RS designs, and derive analytical insights for how to optimally design an RS experiment. We show that the power to detect average treatment effects declines precisely with the ability to identify novel treatment and spillover estimands, such as how effects vary with the intensity of treatment. We provide software that assists researchers in designing RS experiments.
Dynamic Player Modelling: A Framework for Player-Centered Digital Games

In this paper we outline a framework for creating playercentred digital games. At the core of our proposal is the requirement for games to be more responsive to different player types and their individual needs; for games to have the capability to adapt so as to provide an appropriate level of challenge for each player, to smooth the learning curve, and enhance the gameplay experience for each player individually. This is not an easy objective to achieve and adaptive game technology, although a popular ideal in some quarters, is still fraught with difficulties and some controversy. We address some of the most well known issues and outline a proposal for dealing with two of the more recent issues: that of monitoring the effectiveness of game adaptation on the basis of player intention and/or frustration, and dealing with dynamic player profiles – because players learn in different ways and at a different speed.
Phishing detection model using the hybrid approach to data protection in industrial control system

Phishing is the procedure of tampering with sites, login and password forms, emails and so forth which simulate a legitimate analogy using methods and means of social engineering to deceive the victim in order to obtain his or her confidential information. We have conducted a statistical analysis of unique phishing attacks and the attacked areas. Today, there is an increase in attacks aimed at the manufacturing sector, in particular at industrial control systems (ICS). This area is the least protected today from external threats, including phishing. Taking this fact into account, we have investigated the features of an ICS in terms of possible phishing attacks. A comparative analysis of existing methods of protection against phishing, which are potentially applicable to ICSs, has been carried out. We have developed a method of combating phishing, consisting of 3 main modules: the module of obtaining the URL of the visited webpage, the filtering module based on white-list, the login form search module. The experiments resulted in true positive rate equal to 90.41%, false positive rate equal to 7.24%, precision and f1-measure being equal to 95.17% and 92.72%, respectively.
TRANSMITTER DIVERSITY IN CDMA SYSTEMS

In wireless communication, diversity techniques are widely used in order to improve the performance of data transmission over fading radio channels. Transmitter diversity, in particular, is gaining a lot of attention lately in the wireless community. In his paper [1], Alamouti showed that a simple transmitter diversity technique could, by taking advantage of the time dimension (space-time coding), provide similar performance to that of receiver diversity with maximum ratio combining (MRC) scheme. An important limiting factor in modern radio communications is the simultaneous use of the radio spectrum by a large number of users. Due to this, radio links experience interference from other radio transmitters in the system. In many cases, this interference is the phenomenon which makes reliable transmission difficult in wireless systems. In this work, we investigate the capacity of a Code Division Multiple Access (CDMA) system with the above-mentioned transmitter diversity technique and assess the interaction between diversity gain and experienced interference.
FlexVi: PHY Aided Flexible Multicast for Video Streaming over IEEE 802.11 WLANs

Wireless video multicast over IEEE 802.11 WLANs is a viable approach to bridging the gap between limited wireless resources and the ever-increasing mobile video traffic demand. However, existing wireless multicast mechanisms have several limitations, such as low spectral efficiency, high feedback overhead, and lack of consideration of the frame aggregation feature of current WLANs. In this paper, we propose FlexVi, a flexible wireless multicast solution for efficient video streaming over WLANs. Considering the frame aggregation of the current WLANs, FlexVi allows an access point to dynamically adjust the data rate on the basis of three factors: available wireless bandwidth, heterogeneity of the channel qualities among the clients, and the priorities among the video frames in terms of video quality. In addition, by harnessing the orthogonality of the subcarriers in the orthogonal frequency division multiplexing, FlexVi enables multiple clients to deliver their feedback to an access point simultaneously without collision, which results in very low feedback overhead. We verified the feasibility of FlexVi through experiments on a software defined radio platform. We also conducted an extensive simulation study and found that FlexVi outperforms the latest wireless multicast mechanisms.
Network Automation Methodology for Detecting Rogue Switch

The issue of detecting malicious switches on the network is still a concern even as networks continue to grow more complex. Even though Wired networks are considered more secure than wireless, the wireless rogue device problem has been solved. However, the wired rogue switch problem remains unsolved. In this project, We apply core networking concepts and demonstrate a smart solution by combining the latest Automation techniques with highly effective software tool-sets available for detecting malicious systems connected to a rogue switch. This solution promises quick detection and requires Zero Downtime which could prove to be an ideal solution for enterprises having managed switch production networks. We achieve this by continuously filtering and analyzing network traffic for any broadcast storms or new Address Resolution protocol packets using Packet Analyzers and then effectively tracing the malicious host connected to the rogue switch by deploying automation techniques. This technique also helps detecting rogue unmanaged switches (“plug and play” devices) having pre-loaded configuration.
Improving Efficiency of Classification using PCA and Apriori based Attribute Selection Technique

The aim of this study is to select significant features that contribute for accuracy in classification. Data mining is a field where we find lots of data which can be useful or useless in any form available in Data Warehouse. Implementing classification on these huge, uneven, useless data sets with large number of features is just a waste of time degrading the efficiency of classification algorithms and hence the results are not much accurate. Hence we propose a system in which we first use PCA (Principal Component Analysis) for selection of the attributes on which we perform Classification using Bayes theorem, Multi-Layer Perceptron, Decision tree J48 which indeed has given us better result than that of performing Classification on the huge complete data sets with all the attributes. Also association rule mining using traditional Apriori algorithm is experimented to find out sub set of features related to class label. The experiments are conducted using WEKA 3.6. 0 Tool.
Classifying speed and force from movement intentions using entropy and a support vector machine

In this work, we classified movement-related cortical potentials (MRCPs) associated with two levels of task force and speed with a linear and an optimized support vector machine (SVM). Features were extracted using Approximate Entropy (ApEn), Sample Entropy (SaEn) and Permutation Entropy (PeEn) calculated from the initial negative phase of the MRCP. Classification accuracies for the optimized SVM reached 68 ± 7% and 71 ± 10% (force and speed, respectively); with the linear SVM they reached 59 ± 8% and 64 ± 13%.
Corner and rooftop diffraction in radiowave propagation prediction tools: a review

Accurate radiowave propagation prediction tools are essential for the optimal design of future mobile telecommunication services. In recent years, ray-optical methods have been gaining in popularity, especially for urban radiowave propagation prediction. One of the key propagation mechanisms incorporated in any ray-tracing technique is diffraction. We present new diffraction coefficients for both solid and hollow dielectric wedges. The theoretical predictions are validated throughout against controlled laboratory measurements. For the solid wedge diffraction problem, we compare our predictions with those obtained using the widely used Luebbers' (1984) solution. It is shown that the latter one is in error as much as 10 dB in shadow regions.