Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiple Model Adaptive Nonlinear Filter for Range Estimation Using Bearing Only Tracking

This paper discusses about the range estimation using multiple model method for single sensor bearing only tracking (BOT) in 3D. For BOT, the ownship is assumed to take a manoeuvre to gain observability in range and target state. The unknown target range was divided into uniform sub-intervals and nonlinear filters like Extended and unscented Kalman filter (EKF and UKF) with Cartesian and modified spherical coordinates (MSC) were implemented. Comparative results indicate that, UKF in MSC performs better with high computational time. This paper introduces Adaptive nonlinear filter (ANF) to get better range estimate with reduced computational time without affecting the filter performance. It is accomplished by conjoining Cartesian EKF with UKF in MSC, adaptively during the stationary and manoeuvring ownship conditions. The performance comparison was analysed using root mean square error, bias error and computational time. Simulation results reveal that ANF shows better results with reduced computational time.
Higher order approximations via Stein's method

This paper is a sequel of \cite{CD:2012}. We show how to establish a functional Edgeworth expansion of any order thanks to the Stein method. We apply the procedure to the Brownian approximation of compensated Poisson process and to the linear interpolation of the Brownian motion. It is then apparent that these two expansions are of rather different form.
Association of Chemokine and Chemokine Receptor Gene Polymorphis (MCP1 A-2518G and CCR2-V64I) with Urinary Bladder Cancer: A Study in Kashmiri Population

Epidemiological evidence points to a connection between inflammation and a predisposition for the development of cancer. Several pro-inflammatory gene products have been identified that lead to variations in the production and concentration of inflammatory proteins. A case-control study was conducted in chemokine and chemokine receptor genes (MCP-1 A-2518G and CCR2-V64I) to elucidate the possible role of these SNPs as risk factors in urinary bladder cancer (UBC) development. Using the polymerase chain reaction-restriction fragment length polymorphism approach, we investigated the genotype distribution of 120 bladder cancer patients in comparison with 155 cancer-free controls from the same geographical region. Significant differences were observed in the distribution of genotypes in MCP-1 A-2518G between the control and bladder cancer patients (0.36 vs 0.47; p=0.000). Homozygous variant GG frequency of MCP-1 A-2518G in cases was found to be 20% as against 5.1% in controls (p<0.05). No significant association was found in CCR2-V64I genotypes (p = 0.09) between the controls and patients with the frequency of homozygous variant (64I) being 15% and 20% (0.15 vs. 0.20) respectively. Interestingly, CCR2-V64I heterozygote (wt/64I+64I) frequencies were significantly increased in the higher grades/stages of bladder cancer patients (p< 0.05). Based on above mentioned results, we conclude that the MCP-1 -2518A/G polymorphism is associated with genetic susceptibility to the risk for bladder cancer.
The impact of human resource (HR) performance management on project outcome

To ensure successful accomplishment of projects, quality performance of the project team is required to be maintained. The existing literature declares scope, time, cost and quality as quadruple constraints for project’s success while management of human resource (HR) communication, procurement and risk are declared support functions. Literature further acknowledges that HR management functions are dealt with low precedence in actual practices of project management as they are rendered secondary or support functions. In real practices the project manager is delegated certain HR functions like team formation, training and HR performance management. However, these HR functions are not considered the primary tasks of the project manager during the project’s life cycle as these are practiced for specific time period without regular iteration. From July 2007 to April 2009, this study discovered that in the Information Technology (IT) industry working in Islamabad, Pakistan, project managers were required to manage performance of their teams at least by monitoring their performance. It discovered that compromise in the quality of HR performance management affected the results of heterogeneous IT projects. The study therefore focused on HR performance management to identify its actual significance and precedence for the projects. It hypothesized that the outcome of project is associated with the quality of performance management of project team and is affected by it. Employing stratified sampling technique, 70 heterogeneous IT projects in 24 different software houses were identified and selected that were reported to have been affected by the quality of HR performance management. Using a reliable and valid instrument, data were collected in a cross sectional manner. Analyses of results were made using frequency distribution, Pearson correlation, and Partial Least Square (PLS) regression. The findings confirmed a correlation and dependency of project outcome on HR performance management by the project manager through quality of performance monitoring. The study concluded to consider HR management function performance management as one of the tools for ensuring project success giving its significant precedence. The study has contributed guidelines and templates to help project managers exercise 360 degree performance management where applicable. Key words: Project management, HR management, HR performance management.
Inner disk clearing around the Herbig Ae star HD\,139614: Evidence for a planet-induced gap ?

Spatially resolving the inner dust cavity of the transitional disks is a key to understanding the connection between planetary formation and disk dispersal. The disk around the Herbig star HD 139614 is of particular interest since it presents a pretransitional nature with an au-sized gap, in the dust, that was spatially resolved by mid-IR interferometry. Using new NIR interferometric observations, we aim to characterize the 0.1-10~au region of the HD~139614 disk further and identify viable mechanisms for the inner disk clearing. We report the first multiwavelength radiative transfer modeling of the interferometric data acquired on HD~139614 with PIONIER, AMBER, and MIDI, complemented by Herschel/PACS photometries. We confirm a gap structure in the um-sized dust, extending from about 2.5 au to 6 au, and constrained the properties of the inner dust component: e.g., a radially increasing surface density profile, and a depletion of 10^3 relative to the outer disk. Since self-shadowing and photoevaporation appears unlikely to be responsible for the au-sized gap of HD~139614, we thus tested if dynamical clearing could be a viable mechanism using hydrodynamical simulations to predict the gaseous disk structure. Indeed, a narrow au-sized gap is expected when a single giant planet interacts with the disk. Assuming that small dust grains are well coupled to the gas, we found that a ~ 3~Mjup planet located at 4.5 au from the star could, in less than 1 Myr, reproduce most of the aspects of the dust surface density profile, while no significant depletion in gas occurred in the inner disk, in contrast to the dust. However, the dust-depleted inner disk could be explained by the expected dust filtration by the gap and the efficient dust growth/fragmentation in the inner disk regions. Our results support the hypothesis of a giant planet opening a gap and shaping the inner region of the HD~139614 disk.
Healthcare Costs and Obesity Prevention Drug Costs and Other Sector-Specific Consequences

Background: Obesity is a major contributor to the overall burden of disease (also reducing life expectancy) and associated with high medical costs due to obesity-related diseases. However, obesity prevention, while reducing obesity-related morbidity and mortality, may not result in overall healthcare cost savings because of additional costs in life-years gained. Sector-specific financial consequences of preventing obesity are less well documented, for pharmaceutical spending as well as for other healthcare segments. Objective: To estimate the effect of obesity prevention on annual and lifetime drug spending as well as other sector-specific expenditures, i.e. the hospital segment, long-term care segment and primary healthcare. Methods: The RIVM (Dutch National Institute for Public Health and the Environment) Chronic Disease Model and Dutch cost of illness data were used to simulate, using a Markov-type model approach, the lifetime expenditures in the pharmaceutical segment and three other healthcare segments for a hypothetical cohort of obese (body mass index [BMI] ‡30kg/m), non-smoking people with a starting age of 20 years. In order to assess the sector-specific consequences of obesity prevention, these costs were compared with the costs of two other similar cohorts, i.e. a ‘healthy-living’ cohort (non-smoking and a BMI ‡18.5 and <25kg/m) and a smoking cohort. To assert whether preventing obesity results in cost savings in any of the segments, net present values were estimated using different discount rates. Sensitivity analyses were conducted across key input values and using a broader definition of healthcare. Results: Lifetime drug expenditures are higher for obese people than for ‘healthyliving’ people, despite shorter life expectancy for the obese. Obesity prevention results in savings on drugs for obesity-related diseases until the age of 74 years, which outweigh additional drug costs for diseases unrelated to obesity in life-years gained. Furthermore, obesity prevention will increase long-term care expenditures substantially, while savings in the other healthcare segments are small or non-existent. Discounting costs more heavily or using lower relative mortality risks for obesity would make obesity prevention a relatively more attractive ORIGINAL RESEARCH ARTICLE Pharmacoeconomics 2009; 27 (12): 1031-1044 1170-7690/09/0012-1031/$49.95/0 a 2009 Adis Data Information BV. All rights reserved.
Deep packet inspection on large datasets : algorithmic and parallelization techniques for accelerating regular expression matching on many-core processors

Regular expression matching is a central task in several networking (and search) applications and has been accelerated on a variety of parallel architectures, including general purpose multi-core processors, network processors, field programmable gate arrays, ASICand TCAM-based systems. All of these solutions are based on finite automata (either in deterministic or non-deterministic form), and mostly focus on effective memory representations for such automata. More recently, a handful of proposals have exploited the parallelism intrinsic in regular expression matching (i.e., coarse-grained packet-level parallelism and fine-grained data structure parallelism) to propose efficient regex matching designs for GPUs. However, most GPU solutions aim at achieving good performance on small datasets, which are far less complex and problematic than those used in real-world applications. In this work, we provide a more comprehensive study of regular expression
TASVEER : Tomography of India ’ s Internet Infrastructure Student Name :

With approximately 250 million Internet users, India stands amongst the top 5 Internet using nations of the world. India’s network space is made up of 789 Autonomous Systems (ASes), that route all the network traffic of India. On the other hand, US has approximately 300 million users, whose traffic is routed over 22K ASes. Thus, a relatively small network routes the traffic of large number of Indian users. Failures and attacks in such networks could impact large number of users. However, being a relatively small number, it becomes easy to generate maps presenting the connectivity of ASes in the networks and the routers that make up the ASes. Such information could be used for various purposes such as diagnosing network failures and attacks, large scale network surveillance and bypassing such surveillance, load balancing, efficient content distribution and delivery. We present, a first effort to our knowledge, the topological information of India’s entire Internet space representing the connectivity between all 789 ASes and intra-domain routers. Our research presents information of routers and ASes that transport relatively large fraction of traffic for vital network installations like popular ISP users, important organizations like financial institutions, educational institutions, research organizations etc.
Scalable Spatial Queries in Big Data Systems

The amount of data in the world is increasing exponentially, a large portion of this data comes from the interactions over mobile devices and the ubiquitous IoT applications. Improving our ability to extract information and insights from these large and complex datasets is crucial to a variety of applications. Our research focuses on scaling spatial queries in the context of big data systems, to be able to apply complex algorithms on large-scale spatial datasets in a timely manner. In particular, this paper studies two spatial queries: (a) spatial group-by polygon query which groups input data points by a given complex polygon set (e.g. world countries), and (b) polygonization query which polygonizes an input set of line strings (e.g. USA road network).
MOLECULAR-DYNAMIC INVESTIGATION OF CONTACT INTERACTION OF PURE METALS

In using the method of molecular dynamics simulation of contact interaction between the copper crystallite and the various pure metals under shear loading was carried out. Shown that the structure of the boundary layer obtained during the shear deformation is determined by the loading conditions and materials of contact pair. In particular, in the interaction of copper with aluminum, soft aluminum material begins to be introduced into the lattice of copper, and in the interaction of copper with iron, this process is not observed. The effect of loading conditions and mode of heat transfer was studied. The research results can be useful for controlling strength properties of interfacial layer coated material, as well as to control the properties of the surface layer in contact problems.
Asphalt Concrete Overlay Optimization Based on Pavement Performance Models

The life cycle length of pavement with asphalt concrete material (ACM) surfacing is significantly influenced, in addition to transport loading and climatic conditions, by design method and rehabilitation timing. Appropriate overlay thickness calculation and estimation of optimal rehabilitation time are crucial to maximizing life cycle length and, concurrently, reducing road administration costs and road user costs. This article describes a comprehensive method of ACM rehabilitation design. For optimization of life cycle cost analysis (LCCA) based design, mathematical analytical solution in combination with experimental verification of physical, mechanical, and fatigue characteristics is utilized. Pavement performance, that is, functions mathematically describing pavement’s degradation characteristics of operational capability, is represented by longitudinal and transverse unevenness; these are used to describe relations between traffic loading and pavement’s bearing capacity on 1 : 1 scale. Optimizing of rehabilitation plan is carried out by making a cost benefit analysis (CBA) for several rehabilitation scenarios in which different rehabilitation timing produces different capital cost requirements and social benefits. Rehabilitation scenarios differ in technology, the design of which needs to be mathematically optimized, and timing of rehabilitation execution. This article includes a case study for the sake of illustration of practical results and verification of applicability of used methodology.
Polar phase of one-dimensional bosons with large spin

Spinor ultracold gases in one dimension (1D) represent an interesting example of strongly correlated quantum fluids. They have a rich phase diagram and exhibit a variety of quantum phase transitions. We consider a 1D spinor gas of bosons with a large spin S. A particular example is the gas of chromium atoms (S=3), where the dipolar collisions efficiently change the magnetization and make the system sensitive to the linear Zeeman effect. We argue that in 1D the most interesting effects come from the pairing interaction. If this interaction is negative, it gives rise to a (quasi)condensate of singlet bosonic pairs with an algebraic order at zero temperature, and for (2S+1)≫1 the saddle point approximation leads to physically transparent results. Since in 1D one needs a finite energy to destroy a pair, the spectrum of spin excitations has a gap. Hence, in the absence of a magnetic field, there is only one gapless mode corresponding to phase fluctuations of the pair quasicondensate. Once the magnetic field exceeds the gap, another condensate emerges, namely the quasicondensate of unpaired bosons with spins aligned along the magnetic field. The spectrum then contains two gapless modes corresponding to the singlet-paired and spin-aligned unpaired Bose condensed particles, respectively. At T=0, the corresponding phase transition is of the commensurate–incommensurate type.
Traffic Based Optimization of Spectrum Sensing in Cognitive Radio Networks

We propose a more practical spectrum sensing optimization problem in cognitive radio networks (CRN), by considering the data traffic of second user (SU). Compared with most existing work, we do not assume that SU always has packets to transmit; instead, we use the actual data transmitted per second rather than the channel capacity as the achievable throughput, to reformulate the Sensing-Throughput Tradeoff problem. We mathematically analyze the problem of optimal sensing time to maximize the achievable throughput, based on the data traffic of SU. Our model is more general because the traditional Sensing-Throughput Tradeoff model can be seen as a special case of our model. We also prove that the throughput is a concave function of sensing time and there is only one optimal sensing time value which is determined by the data traffic. Simulation results show that the proposed approach outperforms existing methods.
Variation in the Modified First Metatarsal of a Large Sample of Tapirus polkensis , and the Functional Implications for Ceratomorphs

s: Hawkins PL, Wallace, SC. 2010. Comparing Fossil Species to Endangered Zoo Animals and Local Roadkill. South Eastern Association of Vertebrate Paleontology. Abstracts. Hawkins PL, Wallace SC. 2010. Simple Femoral Indicators of Locomotion Derived From Anatomical Studies. Journal of Vertebrate Paleontology 30 (3, supplement). Hawkins PL, Wallace SC. Forthcoming 2011. Tapirus polkensis foot bones and their environmental importance at the Gray Fossil Site. In: Schubert BW, Mead JI, editors. Gray Fossil Site Symposium. p 34-35. Honors and Awards: Jackson School of Geosciences Student Travel Grant, 2009 East Tennessee State University Graduate and Professional Student Association Travel Grant, 2009 and 2010 Professional Affiliations: Society of Vertebrate Paleontology Don Sundquist Center for Excellence in Paleontology ETSU Graduate and Professional Student Association
The 4 th International Conference on Electrical Engineering and Informatics ( ICEEI 2013 ) A Bespoke Contact Angle Measurement Software and Experimental Setup for Determination of Surface Tension

Contact angle measurement has wide application in studying the wettability of a surface. This paper presents a contact angle measurement system developed using simple apparatus. The system consists of a bespoke measurement software, USB microscope, motorized linear position slider and a sample holder with back lighting system. The advantages of this system include user friendly, compact size, allow manual and automatic measurements and cost effective. This system is established with the contact angle and surface tension measurement experiment which is based on Fox-Zisman theory. Different probe liquids were suggested and the critical surface tension of polydimethylsiloxane (PDMS) and polyimide were determined using both the software and the hardware system developed. © 2013 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of the Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia.
The infant bow shock: a new frontier at a weak activity comet

The bow shock is the first boundary the solar wind encounters as it approaches planets or comets. The Rosetta spacecraft was able to observe the formation of a bow shock by following comet 67P/Churyumov–Gerasimenko toward the Sun, through perihelion, and back outward again. The spacecraft crossed the newly formed bow shock several times during two periods a few months before and after perihelion; it observed an increase in magnetic field magnitude and oscillation amplitude, electron and proton heating at the shock, and the diminution of the solar wind further downstream. Rosetta observed a cometary bow shock in its infancy, a stage in its development not previously accessible to in situ measurements at comets and planets.
Using Optical Flow for Analyzing the Dynamics of the Bouncing Ball System

The bouncing ball is one of the simplest dynamic systems exhibiting a great variety of behaviours ranging from periodic to chaotic motion. In this paper, we use optical flow methods to analyse the the motion of a ball bouncing under the gravity action and excited by a periodic force. We record the ball motion with a camera, obtain the optical flow associated with the ball movement and compute the spectrum of the velocities to assess the behaviour of the system. We also perform a computer simulation of the bouncing ball system and compare the results with the experimental ones.
Macroalgal canopies: distribution and diversity of associated invertebrates and effects on the recruitment and growth of mussels

We examined the invertebrate assemblages associated with macroalgal canopies in the Mingan Islands (northern Gulf of St. Lawrence, eastern Canada) in the summer and fall of 2001. Invertebrates were sampled in patches or beds of 4 species of macroalgae (Alaria esculenta, Agarum cribrosum, Desmarestia viridis and Ptilota serrata) as well as in adjacent urchin barrens. Multivariate analyses of the invertebrates on the algal fronds, those on the underlying substratum, and the 2g roups together demonstrated differences in invertebrate assemblages among all 5 habitats. A. esculenta sheltered the most distinct invertebrate community due to the domination of the sub- stratum under this alga by the blue mussel Mytilus edulis. Differences among other canopy types were due to differences in invertebrate assemblages both on the algal fronds and on the substratum. A manipulative experiment involving the removal of the canopy of the 2 most abundant macroalgae, A. esculenta and A. cribrosum, was carried out to examine their effects on mussels. Recruitment of mussels onto ceramic tiles varied among treatments and was greatest in the A. esculenta zone with greater, but non-significant, recruitment under the canopy. The growth of mussels from early July to October was higher in the A. cribrosum zone than the A. esculenta zone. However, there was no effect of the algal canopy in either zone. Our study demonstrates that the local diversity and distri- bution of benthic invertebrates is intimately associated with macroalgae, and reinforces the need for detailed sampling and analyses for assessing distributional patterns.
Condition Monitoring of Electrical Cables Using Line Resonance Analysis (LIRA)

This paper describes a method for cable system condition monitoring that is based on transmission line theory and resonance analysis. This method resulted in the development of a system called LIRA (LIne Resonance Analysis), which can be used on-line to detect local or global changes in the cable electrical parameters because of insulation faults or degradation. This paper presents the latest results achieved in field experiments on medium and high voltage cables.