Miracle-dz/UniFAR-FTUs huggingface dataset:
Fault detection and isolation using Kalman filter bank for a wind turbine generator

In this paper, we will tackle the problem of current sensor Fault Detection and Isolation (FDI) of a doubly feed induction generator in wind turbine. First of all, the use of a Kalman filter to detect sensor fault will be illustrated. Then, the detection and the isolation of multiple and simultaneous sensor faults will be treated using a Kalman filter bank in a Generalized Observer Scheme and a Dedicated Observer Scheme respectively. The fault assessment will be performed by the Page-Hinkley's test. The processus of the FDI will be validated on a real-time test bench.
Genetic simulated annealing algorithm for data allocation in layered P2P streaming

Data allocation in layered P2P streaming has been proved to be a NP-Complete problem. The existing algorithms are heuristic and based on the greedy idea, which can not get the global solution. In order to develop a new algorithm for this problem, we define the concept of ‘Data Blocks for Choosing’, set up a mathematic model of integer programming without restriction, and propose a novel genetic simulated annealing algorithm (GSA) based on the encoding manner of ‘Data Blocks for Choosing’. The simulation has demonstrated that the proposed GSA could get convergence quickly, and its performance has been improved 5∼25% than that of the existing algorithms.
UDDN: Unidirectional Data Dissemination via Negotiation

Radio technology enables deployment of tiny smart sensors in wireless sensor networks. The smart sensors can collect information from surroundings to forward it to the network base station. In this paper, we present UDDN (Unidirectional Data Dissemination via Negotiation) for efficient routing of such useful information in an energy-constrained environment. The sensor nodes in UDDN use meta-data in negotiation to avoid redundant data transmission as well as to reduce the network operations. Further, while disseminating data towards base station the UDDN minimizes the number of nodes participating in such process and, thereby, reduces energy consumption in routing the information.
AIS Electronic

Realizing business value and identifying the benefits arising from implementations of enterprise systems remains a significant challenge for both research and practice. A review of existing work on enterprise systems benefits reveals that current frameworks pay limited attention to contextual and temporal variations, socio-technical and business change, and levels of benefit realization. This research study investigates the complex mix of expected and realized benefits specifically arising from ERP systems. The aim is to address the limitations of current frameworks and extend theoretical understandings to provide a richer picture of ERP benefits and their contextual variation. Drawing on data gathered from more than 60 case study organizations of differing size, maturity and industry sector the study adopts an iterative content analysis to empirically derive a comprehensive benefits framework. The extended classification and the methodology used to construct it are presented and discussed along with their implications for future research and practice.
ID mapping attacks in P2P networks

Current P2P (overlay) networks have been designed with a focus on the construction of efficient mechanisms for the storage and retrieval of information among a community of participating nodes, with limited attention to the protection from malicious behaviours. The paper analyzes the attacks that can be realized on the choice of identifiers by the nodes and proposes adequate countermeasures. The paper uses as a reference the Kademlia protocol, but most of the results are immediately applicable to every DHT network.
Citation for Published Item: Publisher's Copyright Statement: Use Policy It Interdependence and the Economic Fairness of Cyber-security Regulations for Civil Aviation

interdependence and the economic fairness of cyber-security regulations for civil aviation. ', IEEE security privacy. , 13 (5). pp. 52-61. c 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that: • a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders. Please consult the full DRO policy for further details. Abstract—Physical security is well understood in Civil Aviation and its rules are mandated across the board from small airports with few flights to hubs aggregating thousands of flights and millions of passengers. To finance security procedures diverse mechanisms from government subsidies to per-passenger taxes and charges have been implemented. A popular scheme is the flat security tax per passenger of e5-7 in Europe and $5.6 in the US. A key question is whether the same regulatory and financial measures should apply to cyber-security. We present the results of interviews with key stakeholders (European and National Regulators, IATA and Eurocontrol Experts, Airport Directors, and Security Managers) on this emerging threat and a cyber-security public policy economic model for Civil Aviation. We illustrate how inter-dependency issues impacting the probability of a successful attack can make regulation significantly unfair for small or medium airports.
Cognitive Approaches to Policy Based Intrusion Defence

This is a discussion paper on design options for the application of distributed cognitive agents to intrusion defence systems. Intrusion defence includes not only detection but also automated responses and proactive reconfigurations. If the system is to have some autonomy, it needs cognitive capabilities such as sensing, reasoning, planning and acting. Adaptation and focussing of attention are also critically important. We present a general architecture for detection of intrusions as violations of security policies, where the policies can be defined on different levels of abstraction. Software agents are given responsibility to detect and respond to different kinds of policy violation. Such an architecture has two important requirements: first, the agents must work together to collectively provide the required cognitive capabilities and fault-tolerance; secondly, the high-level policy definitions must be translated into low-level conditions that can be detected by components of a biologically inspired adaptive system such as an artificial immune system. A reverse translation from low level conditions to new or more refined high level policies may also be possible as a result of adaptation.
Wireless Sensor based Dynamic Channel Selection in Cellular Communication by Cognitive Radio Approach

In a cellular communication scenario, wireless sensors can be deployed to sense the interference power of the frequency band. In an ideal channel, interference temperature (IT) which is directly proportional to the interference power can be assumed to vary spatially with the frequency of the sub channel. We propose a scheme for approximating ITs over an extended C-band (licensed and unused television band) by fitting sub channel frequencies and corresponding ITs to a regression model. Using this model, IT of a random sub channel can be calculated by the base station (BS) for further analysis of the channel interference. Our proposed model based on readings reported by sensors helps in dynamic channel selection (S-DCS) in extended C-band for assignment to unlicensed secondary users. S-DCS maximizes channel utilization and proves to be economic from energy consumption point of view. It also exhibits substantial amount of accuracy with error bound within 6.8%. Again, users are assigned empty sub channels without actually probing them, incurring minimum delay in the process. Overall channel allocation efficiency is also maximized along with fairness to individual users
Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management

Monitoring glucose concentration in the blood is essential in the therapy of diabetes, a pathology which affects about 350 million people around the World (three million in Italy), causes more than four million deaths per year and consumes a significant portion of the budget of national health systems (10% in Italy). In the last 15 years, several sensors with different degree of invasiveness have been proposed to monitor glycemia in a quasi-continuous way (up to 1 sample/min rate) for relatively long intervals (up to 7 consecutive days). These continuous glucose monitoring (CGM) sensors have opened new scenarios to assess, off-line, the effectiveness of individual patient therapeutic plans from the retrospective analysis of glucose time-series, but have also stimulated the development of innovative on-line applications, such as hypo/hyper-glycemia alert systems and artificial pancreas closed-loop control algorithms. In this review, we illustrate some significant Italian contributions, both from industry and academia, to the growth of the CGM sensors research area. In particular, technological, algorithmic and clinical developments performed in Italy will be discussed and put in relation with the advances obtained in the field in the wider international research community.
STRUCTURE OF A CARBONATE/HYDRATE MOUND IN THE NORTHERN GULF OF MEXICO

A one-kilometer-diameter carbonate/hydrate mound in Mississippi Canyon Block 118 has been chosen to be the site of a multi-sensor, multi-discipline sea-floor observatory. Several surveys have been carried out in preparation for installing the observatory. The resulting data set permits discussing the mound’s structure in some detail. Samples from the water column and intact hydrate outcrops show gas associated with the mound to be thermogenic. Lithologic and bio-geochemical studies have been done on sediment samples from gravity and box cores. Pore-fluid analyses carried out on these cores reveal that microbial sulfate reduction, anaerobic methane oxidation, and methanogenesis are important processes in the upper sediment. These microbial processes control the diffusive flux of methane into the overlying water column. The activity of microbes is also focused within patches near active vents. This is primarily dependent upon an active flux of hydrocarbon-rich fluids. The geochemical evidence suggests that the fluid flux waxes and wanes over time and that the microbial activity is sensitive to such change. Swath bathymetry by AUV combined with sea-floor video provides sub-meter resolution of features on the surface of the mound. Seismic reflection profiling with source-signature processing resolves layer thicknesses within the upper 200-300m of sediment to about a meter. Exploration-scale 3-D seismic imaging shows that a network of faults connects the mound to a salt diapir a few hundred meters below. Analyses of gases from fluid vents and hydrate outcrops imply that the faults act as migration conduits for hydrocarbons from a deep, hot reservoir. Source-signature-processed seismic traces provide normal-incidence reflection coefficients at 30,000 locations over the mound. Picking reflection horizons at each location allows a 3-D model of the mound’s interior to be constructed. This model provides a basis for understanding the movement of fluids within the mound.
Math Self-Concept, Grades, and Achievement Test Scores: Long-Term Reciprocal Effects Across Five Waves and Three Achievement Tracks

This study examines reciprocal effects between self-concept and achievement by considering a long time span covering grades 5 through 9. Extending previous research on the reciprocal effects model (REM), this study tests (1) the assumption of developmental equilibrium as time-invariant cross-lagged paths from self-concept to achievement and from achievement to self-concept, (2) the generalizability of reciprocal relations when using school grades and standardized achievement test scores as achievement indicators, and (3) the invariance of findings across secondary school achievement tracks. Math self-concept, school grades in math, and math achievement test scores were measured once each school year with a representative sample of 3,425 German students. Students’ gender, IQ, and socioeconomic status (SES) were controlled in all analyses. The findings supported the assumption of developmental equilibrium for reciprocal effects between self-concept and achievement across time. The pattern of results was found to be invariant across students attending different achievement tracks and could be replicated when using school grades and achievement test scores in separate and in combined models. The findings of this study thus underscore the generalizability and robustness of the REM.
Towards the Application of Reinforcement Learning Techniques for Quality-Based Service Selection in Automated Service Composition

A major goal of the On-The-Fly Computing project is the automated composition of individual services based on services that are available in dynamic markets. Dependent on the granularity of a market, different alternatives that satisfy the requested functional requirements may emerge. In order to select the best solution, services are usually selected with respect to their quality in terms of inherent non-functional properties. In this paper, we describe our idea of how to model this service selection process as a Markov Decision Process, which we in turn intend to solve by means of Reinforcement Learning techniques in order to control the underlying service composition process. In addition, some initial issues with respect to our approach are addressed.
A novel method for measuring antioxidant capacity and its application to monitoring the antioxidant status in premature neonates.

1. A new method has been developed for measuring the total antioxidant capacity of body fluids and drug solutions, based on the absorbance of the ABTS. + radical cation. 2. An automated method for use on a centrifugal analyser, as well as a manual method, is described. 3. The procedure has been applied to physiological antioxidant compounds and radical-scavenging drugs, and an antioxidant ranking was established based on their reactivity relative to a 1.0 mmol/l Trolox standard. 4. The Trolox equivalent antioxidant capacity of plasma from an adult reference population has been measured, and the method optimized and validated. 5. The method has been applied to investigate the total plasma antioxidant capacity of neonates and how this may be compromised in prematurity.
Fuzzy connectedness road extraction from high resolution remote sensing image based on GMM-MRF

This paper presents a novel method for extracting road from high resolution remote sensing image based on Gaussian mixture model and Markov random field (GMM-MRF) model optimized by the iterated conditional model (ICM). In this paper, we first divide remote sensing image into 3 classes by GMM-MRF texture segmentation model, and then extract road by fuzzy connectedness. Finally, we use shape features and mathematical morphology to do the post-processing to remove false alarm area. Since fuzzy connectedness lacks regional structure factors, it can not accurately describe the pixel similarity. By introducing image texture feature to the concept of fuzzy connectedness, we can establish texture fuzzy connectedness concept to make it more accurate description of the degree of association among pixels, which reflects the characteristics of the local and regional pixel similarity. Besides, our method choose only one road seed point and can achieve better road extraction effectiveness than fuzzy connectedness without using segmentation algorithms, which usually needs more than 15 seed points. Experiments show that the proposed method can effectively eliminate the non-road areas that whose characteristics are similar to road, and it can obtain better performance for road extraction from high resolution remote sensing image compared with fuzzy c-means and mathematical morphology.
Direct fitness or inclusive fitness: how shall we model kin selection?

Two standard mathematical formulations of kin‐selection models can be found. Inclusive fitness is an actor‐centred approach, which calculates the fitness effect on a number of recipients of the behaviour of a single actor. Direct fitness is a recipient‐centred approach, which calculates the fitness effect on the recipient of the behaviour of a number of actors. Inclusive fitness offers us a powerful heuristic, of choosing behaviour to maximize fitness, but direct fitness can be mathematically easier to work with and has recently emerged as the preferred approach of theoreticians. In this paper, we explore the fundamental connection between these two approaches in both homogeneous and class‐structured populations, and we show that under simple assumptions (mainly fair meiosis and weak selection) they provide equivalent formulations, which correspond to the predictions of Price's equation for allele frequency change. We use a couple of examples to highlight differences in their conception and formulation, and we briefly discuss a two‐species example in which we have a class of ‘actor’ that is never a ‘recipient’, which the standard direct fitness method can handle but the usual inclusive fitness cannot.
Audio-Video Conference Systems Research Based on P2P and Multicast

P2P (Peer to Peer) technology is a network technology which is based on equality. Use of P2P technology in the wide area network to transmit multimedia data, each node can provide resources as sever, so it can improve transmission efficiency. However, in the LAN, multicast data can be simultaneously sent to multiple recipients, so it has more advantages, and can reduce the bandwidth, greatly improving communication speed. Therefore, this paper presents the multicast technology combined with the P2P technology, giving full play to the strengths of both technologies. It can service video conference system better.
Evaluation of ESX Server Under CPU Intensive Workloads

Virtual machines are used by IT departments to provide better hardware utilization and to isolate users and programs from each other. We explore how configuration changes affect the throughput of virtual machines hosted on ESX Server during CPU intensive workloads. In particular we explore how Hyper-Threading, Virtual SMP, and the amount of RAM allocated affect throughput. Hyper-Threading is Intel’s implementation of simultaneous multithreading technology and was introduced with the Xeon processor. Virtual SMP allows ESX Server to host virtual machines with two virtual processors. Our tests were run on two Dell 6650 quad processor 2.20 GHz Xeon servers with 16GB of RAM, a Gigabit Ethernet NIC
Perspectives: Compassion for others begins with loving-kindness toward self

I am a forensic advanced practice nurse with my own private practice. I specialise in the treatment of convicted sexual offenders who have been court-ordered to undergo sex offender treatment. This perspective is a reflection of over 30 years of working with these patients. More specifically, it is about my discovery that, without care and compassion for the men I work with, good outcomes are less likely, for both my patients and myself. It is about my struggle to maintain my own sense of humanity and compassion towards sexually violent men. It is also about the challenges I have faced trying to convince others on the treatment team that this approach gives our patients a better chance of developing their own sense of compassion. My treatment methodology is based on empirically validated best practices. However, a common trait in people who engage in cruel or callous behaviour is a lack of empathy. Empathy is the foundation upon which care and compassion for others is developed. I spend a good deal of time helping my patients develop concern for others, which begins with my being a role model of compassion and human caring. My approach requires being clear about my intentions, and developing self-care to manage the stress and possible burnout from working with this difficult patient population. Embodying lovingkindness and compassion towards self prevents stress and burnout.
Enhancing spatial cognition in disabled children using virtual environments

In nine experiments, computer generated three-dimensional environments were used to investigate the spatial learning processes of physically disabled children. Chapter 1 reviews the literature on spatial mapping. Chapter 2 introduces the background to virtual environments, and reviews the relevant experimental work in this field. Chapter 3 developed a novel paradigm for investigating configural learning in humans, based on a shortcut study previously used with hamsters. In experiments 1-3 optimal cue arrangement was investigated. Results indicated that four large cues, rather than small or continuous cues, were required in order to complete the shortcut task successfully. Experiment 4 demonstrated the paradigm to be a successful replication of the original task and a good measure of spatial ability. Experiment 5 compared the shortcut behaviour of physically disabled children with varying degrees of mobility. Children who had had limited mobility from birth were poorer at the task than those whose mobility had deteriorated with age, supporting the hypothesis that early independent exploration is important in the development of cognitive spatial mapping ability. In Chapter 4 (experiment 6) physically disabled children explored a simulation of a school and then completed tests of spatial ability within the equivalent real school. A successful transfer of spatial skills was demonstrated and thus the potential of this technology for training. In Chapter 5, experiments 7-9 examined the effect of repeated exposure to virtual environments. Experiment 7 confirmed that the skills disabled children acquired using virtual environments improved with exposure to successive environments. To eliminate the possibility that learning was influenced by non-specific factors, experiment 8 compared 3-D exploration and 2-D (control) exploration, finding spatial learning in the former to be superior. Experiment 9 confirmed the extent of improvement in spatial skills following intensive 3-D exploration. Chapter 6 draws conclusions from the experiments and suggests ideas for further research.