Miracle-dz/UniFAR-FTUs huggingface dataset:
How to Distribute the Detection Load among Virtual Machines to Maximize the Detection of Distributed Attacks in the Cloud?

Security has been identified to be the principal stumbling-block preventing users and enterprises from moving their businesses to the cloud. The reason is that cloud systems, besides inheriting all the vulnerabilities of the traditional computing systems, appeal to new types of threats engendered mainly by the virtualization concept that allows multiple users' virtual machines (VMs) to share a common computing platform. This broadens the attack space of the malicious users and increases their ability to attack both the cloud system and other co-resident VMs. Motivated by the absence of any approach that addresses the problem of optimal detection load distribution in the domain of cloud computing, we develop a resource-aware maxmin game theoretical model that guides the hypervisor on how the detection load should be optimally distributed among its guest VMs in the real-time. The objective is to maximize the hypervisor's probability of detection, knowing that the attacker is dividing the attack over several VMs to minimize this probability. Experimental results on Amazon EC2 pricing dataset reveal that our model increases the probability of detecting distributed attacks, reduces the false positives, and minimizes the resources wasted during the detection process.
IDMA system with relays

In this paper, we propose a IDMA system with relays. We describe the system model and the detection algorithm of the destination. The detection algorithm is based on the chip-by-chip detection algorithm. The proposed system raise no burden to the mobiles and needs very simple relays. Simulation results shows that the proposed system does a role of a multiple access scheme and obtains the diversity gain.
Scrum Practices and Global Software Development

Global software development (GSD) is one of the emerging areas of software engineering. Stakeholders are distributed located that brings into several challenges to coordinate and collaborate effectively. Scrum is one the widely practiced agile methodologies. Majority of the software development companies showed a great interest from last few years to apply Scrum methodology in distributed development to solve the coordination and communication problems. Although Scrum contains good features and strengths but still there are improvement possibilities to solve the problems of coordination and collaboration in GSD. Majority of software development companies face the problems of coordination and communication in GSD projects. This paper proposes a novel solution to mitigate the coordination and communication challenges of GSD projects. The survey is used as a research methodology to evaluate the proposed solution. The proposed solution is supported by 62.24%. We anticipate that the proposed solution will help the software development companies to mitigate the coordination and communication challenges of GSD projects.
Channel estimation and data detection for insufficient cyclic prefix SIMO-OFDM with pilot sub-carriers

In this work, we consider joint channel estimation and detection for orthogonal frequency-division multiplexing (OFDM) systems using insufficient cyclic prefix (CP) and pilot sub-carriers. A shorter CP can enable a significant reduction in bandwidth usage in OFDM systems. Alternatively, our methods can enable range extension for OFDM transmission with a certain CP length. The cost is increased inter-symbol interference (ISI) and inter-carrier interference (ICI), which corrupt the pilot sub-carriers. This can lead to a large channel estimation error. In this work, the effect of ICI and ISI on the received signal is analyzed. We then formulate a pilot sub-carrier based minimum mean square error (PSB-MMSE) scheme to estimate the time domain (TD) channel response for single input multiple output (SIMO) systems in the presence of ISI and ICI. From this, an iterative reception process of channel estimation and data detection is constructed. Simulation results show that the proposed scheme maintains satisfactory performance for channel delay spread more than twice the CP.
The Main Bank System and Corporate Investment: An Empirical Reassessment

This paper examines whether the sensitivity of corporate investment to internal funds depends on the firm's access to a main bank, using the sample of Japanese manufacturing firms constructed by Hayashi and Inoue (1991). For either of two classifications of firms by their access to a main bank, there is no evidence that main bank ties mitigate the sensitivity of investment to the firm's liquidity. The large effect of main bank ties reported in Hoshi, Kashyap, and Scharfstein (1991) is most likely due to the relatively poor quality of their capital stock estimate.
Study on medium access control protocol in wireless sensor networks

Medium access control (MAC) protocol is an important component of wireless sensor network protocol, and network performance (such as throughput, capacity, time delay and power consumption, etc) depends on the MAC protocol used, which is also one of the major technical difficulties for wireless sensor network design. This paper points out the main problem of the MAC protocol design for wireless sensor networks, and does some analysis and research on several typical MAC protocols, as well as analyzes the research and application directions of MAC protocols for wireless sensor network.
Understanding co-channel interference in LTE-based multi-tier cellular networks

Multi-tier network configurations are considered as a promising deployment mode for next-generation radio access networks. While it is believed that smaller cells (pico cells) can help offload traffic from macro cells, they also generate interference which may lead to capacity loss in the macro cell and neighboring small cells. It is therefore important for the mobile operators to understand and model what is the net effect of deploying pico cells on top of micro or macro cells. In this work, we introduce a comprehensive analytical framework for co-channel interference analysis in Long Term Evolution (LTE) multi-tier cellular networks and present preliminary simulation results. The model we describe is capable to provide practical insights to guide the deployment of multi-tier networks, and completes the studies in the literature with finer analytical details.
Orthogonal gough-stewart platforms with optimal fault tolerant manipulability

For any manipulator, fault tolerance is a desirable property. This paper shows that for any serial or parallel manipulator functioning about a single point in its workspace, the mean square of the relative manipulabilities over all possible failures, with a given number of links failing at a time, is always constant irrespective of the geometry of the manipulator. In this paper optimal fault tolerant manipulability is defined for parallel manipulators. This concept is applied to orthogonal Gough-Stewart platforms (OGSPs) to identify a class of symmetric OGSPs having optimal fault tolerant manipulability. As an example, an 8-strut OGSP having this property is described
On the Elliptic Logarithm Method for Elliptic Diophantine Equations: Reflections and an Improvement

The elliptic logarithm method for the determination of all integral solutions of a given elliptic equation is discussed for equations with associated elliptic curve of moderately large rank. Major attention is given to the question of optimizing the choice of Mordell–Weil basis for the curves in question. A speculative argument suggests that for any curve of rank larger then 8 the calculations involved are unlikely to be feasible. The arguments are illustrated by examples of curves of rank 5, 6, 7, and 8, taken from the literature.
Towards Morphological Design of GSM Network

The paper addresses hierarchical morphological modeling and design of GSM network. The tree-like structure of the system is considered and design alternative (DAs) for each system component (leaf node of the model) are generated. DAs are evaluated upon a set of criteria. Hierarchical Morphological Multicriteria Design (HMMD) approach is used: 1. multicriteria analysis and ranking of alternatives (for leaf nodes of the hierarchical model) to get their ordinal priority on the basis of a common ordinal scale; 2. combinatorial synthesis of composite alternatives while taking into account their priorities (i.e., ordinal quality) and their compatibility (evaluated upon ordinal scale). Electre-like outranking technique is used for multilcriteria ranking. Here Pareto-effective decisions are searching for in a discrete space of system excellence (i.e., quality of elements and quality of their compatibility). Combinatorial synthesis is based on enumerative directed algorithm or dynamic programming approach. The examined hierarchical method for GSM design may be useful in real-world network applications and in education.
Comparative Analysis of Energy Efficient Routing Protocols in MANETS (Mobile Ad-hoc Networks)

Mobile ad hoc networks (MANET) represent distributed systems that consist of wireless mobile nodes that can freely and dynamically organize itself into temporary ad hoc network topologies. A mobile ad hoc network is a collection of nodes that is connected through a wireless medium forming rapidly changing topologies. Manets are infrastructure less and can be set up anytime, anywhere. We have conducted survey of simulation results of various Manet routing algorithms and analyzed them. The routing algorithms considered are classified into two categories proactive and reactive. The algorithms considered are AODV, DSR, and DSDV. The performance measurements are based on the various parameters such as packet delivery fraction, average end to end delay and number of packets dropped. Future work in this area includes development of efficient routing protocols so as to improve the performance of the parameter in which the particular routing protocol is lagging.
Trimming of TAP-translocated peptides in the endoplasmic reticulum and in the cytosol during recycling

Cytosolic peptides are translocated to the endoplasmic reticulum (ER) lumen by the transporters associated with antigen processing (TAP), where major histocompatibility complex (MHC) class I molecules associate with peptides of about 8-10 amino acids. TAP translocates peptides of 9-13 amino acids with the highest relative affinity but also longer and shorter peptides. The fate of the peptides that fail to associate with class I molecules because of incorrect sequence or length, is unknown. Here we show that the bulk of the translocated peptides are rapidly released from the ER by a mechanism that requires adenosine triphosphate (ATP) and that could not be inhibited by GTP gamma S. TAP does not appear to be involved in this process. Whereas free peptides are slowly trimmed in the ER lumen, they are rapidly degraded in the cytosol. A fraction of the peptides released from the ER escapes complete degradation in the cytosol and recycles back to the ER in a TAP-dependent fashion. These results suggest that peptides that are too long for binding to class I molecules in the ER can be trimmed further in the ER lumen or, alternatively, can be transported back to the cytosol where a fraction of the peptides is trimmed to a size suitable for association to MHC class I molecules and recycles back to the ER.
Functional Linear Regression Via Canonical Analysis 1

We study regression models for the situation where both dependent and independent variables are square integrable stochastic processes. Questions concerning definition and existence of the corresponding functional linear regression models and some basic properties are explored. We derive a representation of the regression parameter function in terms of the canonical components of the processes involved. This representation establishes a connection between functional regression and functional canonical analysis and leads to new approaches for functional linear regression analysis. Several specific procedures for the estimation of the regression parameter function using canonical expansions are explored. As an application example, we present an analysis of mortality data for cohorts of medflies, obtained in experimental studies of aging and longevity.
Survey of classification algorithms for formulating yield prediction accuracy in precision agriculture

Precision agriculture is the implementation of the recent technology in agriculture. Huge amount of data is collected in agriculture and various techniques of data mining are used to make efficient use of it. In this paper, we have discussed various algorithms related to classification techniques of data mining. These algorithms are implemented on a data set that has been collected over the years for the yield prediction of soybean crop. Further, a comparative analysis is done to show which classification algorithm is best suited for predicting the yield with respect to classification techniques.
Hybrid artificial neural network for induction motor parameter estimation

Three-phase induction motor electric parameter estimation has been widely used to improve induction motor control performance. A precise match between electrical parameter values and estimated ones is imperative. A value deviation can make induction motor misbehave, which can cause motor overheating even instability. Parameter estimation can be achieved on-line or off-line way with a large number of methods developed to calculate magnetic flux, motor speed, rotor resistance and rotor time constant. These methods include observers, adaptive systems, spectral analysis and artificial intelligence such as neural networks and fuzzy logic. This paper is focused on a hybrid neural network proposed to obtain rotor resistance and speed values, using Texas Instrument development tools to improve a sensorless vector control scheme an improve motor performance.
Human remyelination promoting antibody inhibits apoptotic signaling and differentiation through Lyn kinase in primary rat oligodendrocytes

Human remyelination promoting IgM mAbs target oligodendrocytes (OLs) and function in animal models of multiple sclerosis (MS). However, their mechanism of action is unknown. This study seeks to identify the cellular mechanism of action of a recombinant human IgM on OL survival.
Power output maximization for wave power generation plants using an adaptive sliding mode control

Modern wave power generation plants are capable to work in variable speed operations. These wave power generation plants are provided with adjustable speed generators, like the double feed induction generator. One of the main advantage of adjustable speed generators is that they improve the system efficiency compared to fixed speed generators, because turbine speed can be adjusted as a function of the flow coefficient to maximize the output power. However these systems requires a suitable speed controller in order to track the optimal turbine reference speed. In this work, a sliding mode control for variable speed wave power generation plants is proposed. The proposed sliding-mode control law incorporates an adaptive switching gain, which avoids having to calculate an upper limit of the system uncertainties that is necessary in the traditional sliding-mode control laws. The stability analysis of the proposed controller is provided under disturbances and parameter uncertainties by using the Lyapunov stability theory. Finally simulated results show, on the one hand that the proposed controller provides high-performance dynamic characteristics, and on the other hand that this scheme is robust with respect to the uncertainties that usually appear in the real systems.
Association of single nucleotide polymorphisms in the LPA gene region with serum Lp(a) levels and myocardial infarction

Elevated serum Lp(a) levels are a risk factor for atherosclerosis and myocardial infarction. Lp(a) serum levels are highly heritable, and to a great extend determined by the LPA locus on chromosome 6q27. Polymorphisms influencing the Lp(a) levels have already been identified, but a proportion of the variance in Lp(a) levels remains to be explained. In this investigation different methods were used to explore the influence of SNP markers located in the LPA gene region on Lp(a) levels. The methods comprised a pooling strategy that made use of data from a previous linkage analysis, and served as a screening tool for probably relevant SNP markers. For several SNP markers an association with serum Lp(a) levels could be shown. The identified SNP markers were genotyped in individuals of a large family sample and findings were replicated for all investigated markers. In a third step, a sample of the general population was investigated to underline the robustness of findings. Furthermore, for SNP markers showning a strong association with Lp(a) levels, the association with myocardial infarction (MI) and coronary artery disease was investigated. Particularly one SNP marker in the LPA gene could be identified. This marker (rs11751605) showed a strong influence on Lp(a) levels in multiple populations and is significantly associated with both familial and incidental MI. Moreover, it contributes to the evidence of linkage to the Lp(a) locus on chromosome 6q27. Association with Lp(a) levels and with CAD could be replicated for a SNP marker (rs3798220) recently described in the literature. Furthermore data from a genome-wide association analysis using 500,000 SNP markers were analyzed. The results provide the basis for the identification of factors (apart from markers in LPA gene region) modulating Lp(a) levels.
Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients

Artificial neural networks is one of the most commonly used machine learning algorithms in medical applications. However, they are still not used in practice in the clinics partly due to their lack of explanatory capacity. We compare two case-based explanation methods to two trained physicians on analysis of electrocardiogram (ECG) data from patients with a suspected acute coronary syndrome (ACS). The median overlaps of the top 5 selected features between the two physicians, and a given physician and a method, were initially low. Using a correlation analysis of the features the median overlap increased to values typically in the range 3-4. In conclusion, both our case-based methods generate explanations similar to those of trained expert physicians on the problem of diagnosing ACS from ECG data.
Nonintrusive Image Tamper Detection Based on Fuzzy Fusion

Summary In this paper, we propose a novel fuzzy fusion of image residue features for detecting tampering or forgery in video sequences. We suggest use of feature selection techniques in conjunction with fuzzy fusion approach to enhance the robustness of tamper detection methods. We examine different feature selection techniques, the independent component analysis (ICA), and the canonical correlation analysis (CCA) for achieving a more discriminate subspace for extracting tamper signatures from quantization and noise residue features. The evaluation of proposed fuzzy fusion technique along with different feature selection techniques for copy-move tampering emulated on low bandwidth Internet video sequences, show a significant improvement in tamper detection accuracy with fuzzy fusion.
Pulsar radiation belts and transient radio emission

It is proposed that radiation belts similar to the ones in the planetary magnetosphere can exist for a pulsar with a relatively long period and a strong magnetic field. In the belts located in the closed field line region near the light cylinder relativistic pairs are trapped and maintained at a density substantially higher than the local Goldreich-Julian corotation density. The trapped plasma can be supplied and replenished by either direct injection of relativistic pairs from acceleration of externally supplied particles in a dormant outer gap or in situ ionization of the accreted neutral material in the trapping region. The radiation belts can be disrupted by waves that are excited in the region as the result of plasma instabilities or emitted from the surface due to starquakes or stellar oscillations. The disruption can cause an intermittent particle precipitation towards the star producing radio bursts. It is suggested that such bursts may be seen as rotating radio transients.
Hierarchical recognition of intentional human gestures for sports video annotation

We present a novel technique for the recognition of complex human gestures for video annotation using accelerometers and the hidden Markov model. Our extension to the standard hidden Markov model allows us to consider gestures at different levels of abstraction through a hierarchy of hidden states. Accelerometers in the form of wrist bands are attached to humans performing intentional gestures, such as umpires in sports. Video annotation is then performed by populating the video with time stamps indicating significant events, where a particular gesture occurs. The novelty of the technique lies in the development of a probabilistic hierarchical framework for complex gesture recognition and the use of accelerometers to extract gestures and significant events for video annotation.
Design, Implementation, and Study Protocol of a Kindergarten-Based Health Promotion Intervention

Inactivity and an unhealthy diet amongst others have led to an increased prevalence of overweight and obesity even in young children. Since most health behaviours develop during childhood health promotion has to start early. The setting kindergarten has been shown as ideal for such interventions. “Join the Healthy Boat” is a kindergarten-based health promotion programme with a cluster-randomised study focussing on increased physical activity, reduced screen media use, and sugar-sweetened beverages, as well as a higher fruit and vegetable intake. Intervention and materials were developed using Bartholomew's Intervention Mapping approach considering Bandura's social-cognitive theory and Bronfenbrenner's ecological framework for human development. The programme is distributed using a train-the-trainer approach and currently implemented in 618 kindergartens. The effectiveness of this one-year intervention with an intervention and a control group will be examined in 62 kindergartens using standardised protocols, materials, and tools for outcome and process evaluation. A sample of 1021 children and their parents provided consent and participated in the intervention. Results of this study are awaited to give a better understanding of health behaviours in early childhood and to identify strategies for effective health promotion. The current paper describes development and design of the intervention and its implementation and planned evaluation. Trial Registration. The study is registered at the German Clinical Trials Register (DRKS), Freiburg University, Germany, ID: DRKS00010089.