Miracle-dz/UniFAR-FTUs huggingface dataset:
Fire Behavior System for the Full Range of Fire Management Needs

An "integrated fire behavior/fire danger rating system" should be "seamless" to avoid requiring choices among alternate, independent systems. Descriptions of fuel moisture, fuels, and fire behavior should be standardized, permitting information to flow easily through the spectrum of fire management needs. The level of resolution depends on the application, but the same central processor can be used. Three tasks must be carried out to reach the goal: (1) determination of fire management needs, (2) development of a central processor to be used as the core of the system, and (3) development of the individual subsystems with a framework for moving between them. One of nine research initiatives proposed by the director of Forest Fire and Atmospheric Sciences Research staff in the Forest Service's Washington office is an "Integrated Fire Behavior/Fire Danger Rating System" (Philpot 1985). The initiative states: "A single, integrated system that can accommodate the full continuum of spatial/temporal resolution Presented at the Symposium on Wildland Fire 2000. April 27-30, 1987, South Lake Tahoe. California. Research scientist and mathematician, Intermountain Research Station, Forest Service, U.S. Department of Agriculture, located at the Intermountain Fire Sciences Laboratory, Missoula, Montana. requirements--from National, long-range fire severity forecasting to real-time suppression strategy decisions on actual fires--is needed to meet the varying fire behavior information needs of wildland managers. " The need for an integrated fire behavior system designed for the full range of fire management needs has come about for several reasons: 1. Proliferation of systems based on fire behavior has resulted in confusion in the choice of the appropriate system for a specific fire management need. 2. It is difficult to make the transition from one system to another when moving from the planning to operational phases. 3. Requirements placed on tire managers for analysis and planning are much more demanding than in the early 1970's when the current fire behavior and fire danger systems were formulated. We expect this trend to continue. 4. There have been significant advances in fire research. 5. The technology available for reaching fire managers and assisting them is increasing dramatically. A fundamental concept of the system envisioned in the initiative is that it be "seamless. " or integrated, to avoid requiring choices among alternate, independent systems. Descriptions of fuel moisture, fuels, and fire behavior should be standardized, permitting information to flow easily through the spectrum of fire management needs.
FlowWeb : Joint Image Set Alignment by Weaving Consistent , Pixel-wise Correspondences

Consider a pair of chairs depicted in Fig. 1(a). While the chairs might look similar, locally their features (like the seat corner above) are very different in appearance, so even state-of-the-art image alignment approaches like SIFT Flow [4] have trouble finding correct correspondences. In this paper, we propose to “level the playing field” by starting with a set of images and computing correspondences jointly over this set in a globally-consistent way, as shown in Fig. 1(b).
Study on the Contrast between Two Seismic Response Analysis Programs of Soil Layer

56 ground motions of the bedrock and surface are selected from 28 stiff sites ( site class I and site classⅡ) of the KiK-net station．The peak acceleration, response spectra and shear strain of actual hard sites are calculated by using SHAKE2000 and LSSRLI-1. The similarities and differences between SHAKE2000 and LSSRLI-1 and their differences from measured records are analyzed. It provides a basis for improving the seismic response analysis method of soil layers. The results show that when the soil is not obviously nonlinear, most of the difference in PGA results calculated by SHAKE2000 and LSSRLI-1 can be ignored, and the maximum error of the calculated soil shear strain is also less than 20%. When the soil is highly nonlinear, only a few differences in PGA results can be ignored. The maximum error of shear strain of the soil is greater than 20%. The results of peak acceleration and response spectra calculated by SHAKE2000 and LSSRLI-1 differ greatly from the measured results in most cases. Nevertheless, the probability of having big difference and significant difference between LSSRLI-1 and measured response spectra is greater than SHAKE2000.
2 Related Work 2 . 1 Mammalian Coat Patterns

The giraffe and its patches, the leopard and its spots, the tiger and its stripes are spectacular examples of the integration of a pattern and a body shape. We present an approach that integrates a biologicallyplausible pattern generation model, which can effectively deliver a variety of patterns characteristic of mammalian coats, and a body growth and animation system that uses experimental growth data to produce individual bodies and their associated patterns automatically. We use the example of the giraffe to illustrate how our approach takes us from a canonical embryo to a full adult giraffe in a continuous way, with results that are not only realistic looking, but also objectively validated. The flexibility of the approach is demonstrated by examples of big cat patterns, including an interpolation between patterns. The approach also allows a considerable amount of user control to fine-tune the results and to animate the resulting body with the pattern. CR Categories: I.3. 7 [Three-Dimensional Graphics and Realism]: Texture Synthesis I.3. 5 [Computational Geometry and Object Modeling]: Object Representations
A Survey on Novel Visual Cryptographic Steganography Techniques

The steganography and cryptography are the secret writing techniques. Steganography hides the existence of message by embedding data in some other digital media like image or audio format and Cryptography converts data in to cipher text that can be in unreadable format to normal user. This paper can concentrate to make review of combine data hiding techniques useable for security of data. This paper can defines RSA algorithm for encryption and
Software pipelining: an effective scheduling technique for VLIW machines

This paper shows that software pipelining is an effective and viable scheduling technique for VLIW processors. In software pipelining, iterations of a loop in the source program are continuously initiated at constant intervals, before the preceding iterations complete. The advantage of software pipelining is that optimal performance can be achieved with compact object code. This paper extends previous results of software pipelining in two ways: First, this paper shows that by using an improved algorithm, near-optimal performance can be obtained without specialized hardware. Second, we propose a hierarchical reduction scheme whereby entire control constructs are reduced to an object similar to an operation in a basic block. With this scheme, all innermost loops, including those containing conditional statements, can be software pipelined. It also diminishes the start-up cost of loops with small number of iterations. Hierarchical reduction complements the software pipelining technique, permitting a consistent performance improvement be obtained. The techniques proposed have been validated by an implementation of a compiler for Warp, a systolic array consisting of 10 VLIW processors. This compiler has been used for developing a large number of applications in the areas of image, signal and scientific processing.
Efficient Near Duplicate Document Detection for Specialized Corpora by Shreyes Seshasai

Knowledge of near duplicate documents can be adventagous to search engines, even those that only cover a small enterprise or specialized corpus. In this thesis, we investigate improvements to simhash, a signature-based method which can be used to efficiently detect near duplicate documents. We implement simhash in its original form, and demonstrate its effectiveness on a small corpus of newspaper articles, and improve its accuracy through utilizing external metadata and altering its feature selection approach. We also demonstrate the fragility of simhash towards changes in the weighting of features by applying novel changes to the weights. As motivation for performing this near duplicate detection, we discuss the impact it can have on search engines. VI-A Company Thesis Supervisor: David Spencer Title: Senior Software Engineer MIT Thesis Supervisor: Regina Barzilay Title: Associate Professor
ITEC-UNIKLU Ad-hoc Video Search Submission 2016

In this report we describe our approach to the fully automatic Adhoc video search task for TRECVID 2016. We describe how we obtain training data from the web, create according CNN models for the provided queries and use them to classify keyframes from a custom sub-shot detection method. The resulting classifications are fed into a Lucene index in order to obtain the shots that match the query. We also discuss our results and point out potentials for further improvements.
Web Information Retrieval Using Particle Swarm Optimization Based Approaches

When dealing with large scale applications, data sets are huge and very often not obvious to tackle with traditional approaches. In web information retrieval, the greater the number of documents to be searched, the more powerful approach required. In this work, we develop document search processes based on particle swarm optimization and show that they improve the performance of information retrieval in the web context. Two novel PSO algorithms namely PSO1-IR and PSO2-IR are designed for this purpose. Extensive experiments were performed on CACM and RCV1 collections. The achieved results exhibit the superiority of PSO2-IR on all the others in terms of scalability while yielding comparable quality.
Automated synthesis of SEU tolerant architectures from OO descriptions

SEU faults are a well-known problem in aerospace environment but recently their relevance grew up also at ground level in commodity applications coupled, in this frame, with strong economic constraints in terms of costs reduction. On the other hand, latest hardware description languages and synthesis tools allow reducing the boundary between software and hardware domains making the high-level descriptions of hardware components very similar to software programs. Moving from these considerations, the present paper analyses the possibility of reusing Software Implemented Hardware Fault Tolerance (SIHFT) techniques, typically exploited in micro-processor based systems, to design SEU tolerant architectures. The main characteristics of SIHFT techniques have been examined as well as how they have to be modified to be compatible with the synthesis flow. A complete environment is provided to automate the design instrumentation using the proposed techniques, and to perform fault injection experiments both at behavioural and gate level. Preliminary results presented in this paper show the effectiveness of the approach in terms of reliability improvement and reduced design effort.
Haematological and Hepatic Responses of the African Catfish Clarias gariepinus to Sublethal Exposure of Industrial Effluents from Ologe Lagoon Environs, Lagos, Nigeria

The present study is on the haematological and hepatic responses of the African catfish fingerlings Clarias gariepinus to sublethal toxicity of industrial effluents (IE) from the environment of Ologe Lagoon, Lagos, Nigeria. The fish were cultured in five concentrations of industrial effluents: 0% (control), 5%, 15%, 25%, and 35%. Trials were carried out in triplicates for twelve (12) weeks. The culture system was a static renewable bioassay and was carried out in the fisheries laboratory of the Lagos State University, Ojo-Lagos. Weekly physico-chemical parameters: Temperature (°C), pH, conductivity (ppm) and dissolved oxygen (DO in mg/L) were measured in each treatment tank. Haematological parameters: packed cell volume (PCV), red blood cells (RBC), white blood cell (WBC), neutrophil and lymphocytes etc., and hepatological alterations were measured after 12 weeks. The physico-chemical parameters showed that the pH ranged from 7.82±0.25~8.07±0.02. DO ranged from 1.92±0.66~4.43±1.24 mg/L. The conductivity values increased with increase in concentration of I.E. While the temperature difference remained insignificant with mean value range between 26.08±2.14~26.38±2.28. The DO showed significant differences at p < 0.05. Though survival was 100% during the sublethal study, haematological results showed that C. gariepinus had PCV ranging from 13.0±1.7~27.7±0.6, RBC ranged from 4.7±0.6~9.1±0.1, and neutrophil ranged from 26.7±4.6~61.0±1.0 amongst others. The highest values of these parameters were obtained in the control and lowest at 35%. While the reverse effects were observed for WBC and lymphocytes, the liver shows normal liver cells in the control (0%), but at higher toxic levels, there were: vacoulation, destruction of the hepatic parenchyma, tissue becoming eosinophilic (i.e. tending towards Carcinogenicity) and severe disruption of the hepatic cord architecture. This study therefore shows that disposal of effluents into the aquatic environment affects the health of fishes by impairing normal hepatic functions and hindering vital physiological processes if exposure continues for a long period of time (sublethal effect).
Zabalza, Jaime and Ren, Jinchang and Wang, Zheng and Zhao, Huimin and Wang, Jun and Marshall, Stephen (2015) Fast implementation of singular spectrum analysis for effective feature extraction in hyperspectral imaging. IEEE Journal of Selected Topics in Earth

Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.
Software bottleneck analysis during performance testing

Scalability of a multi-tier enterprise systemis limited resources that becomes a bottleneck, by the presence of software and hardware resource bottlenecks. These bottlenecks typically occur at larger number of users. From an IT industry point of view, deployment process of enterprise applications becomes simpler if these bottlenecks are known apriori during the performance testing itself. This paper uses an analytical model based technique for analyzing performance of such a system where the model consists of two layers of queuing networks for software resources and hardware resources. Proposed solution strategy involves identifying all the software resources in the application, estimating their service demands along with service demands of hardware resources, incorporating these parameters into the model and finally solving it. The paper describes a methodology that uses these steps to identify software and hardware bottlenecks for a given enterprise application. The paper further presents two case studies dealing with real-life multi-tier enterprise applications that encounter software resource bottlenecks. The case studies show that the model is able to predict throughput and utilization of servers with accuracy close to 90%.
Sound and immersion in the first-person shooter: Mixed measurement of the player's sonic experience

Player immersion is the holy grail of computer game designers particularly in environments such as those found in first-person shooters. However, little is understood about the processes of immersion and much is assumed. This is certainly the case with sound and its immersive potential. Some theoretical work explores this sonic relationship but little experimental data exist to either confirm or invalidate existing theories and assumptions. This paper summarizes and reports on the results of a preliminary psychophysiological experiment to measure human arousal and valence in the context of sound and immersion in first-person shooter computer games. It is conducted in the context of a larger set of psychophysiological investigations assessing the nature of the player experience and is the first in a series of systematic experiments investigating the player's relationship to sound in the genre. In addition to answering questionnaires, participants were required to play a bespoke Half-Life 2 level whilst being measured with electroencephalography, electrocardiography, electromyography, galvanic skin response and eye tracking equipment. We hypothesize that subjective responses correlated with objective measurements provide a more accurate assessment of the player's physical arousal and emotional valence and that changes in these factors may be mapped to subjective states of immersion in first-person shooter computer games.
Using a satisfiability solver to identify deterministic finite state automata

We present an exact algorithm for identification of deterministic finite automata (DFA) which is based on satisfiability (SAT) solvers. Despite the size of the low level SAT representation, our approach seems to be competitive with alternative techniques. Our contributions are threefold: First, we propose a compact translation of DFA identification into SAT. Second, we reduce the SAT search space by adding lower bound information using a fast max-clique approximation algorithm. Third, we include many redundant clauses to provide the SAT solver with some additional knowledge about the problem. Experiments on a well-known suite of random DFA identification problems show that SAT solvers can efficiently tackle all instances. Moreover, our exact algorithm outperforms state-of-the-art techniques on several hard problems.
Estimating a medium–scale DSGE model with expectations based on small forecasting models

In this paper we evaluate the empirical performance of a medium–scale DSGE model (Smets and Wouters 2007) when agents form expectations about forward variables by using small forecasting models. Agents learn about these simple AR and VAR forecasting models through Kalman filter estimation and they combine them either using a prediction based weighting scheme or fixed weights. The results indicate that a model, in which agents use a mixture of simple forecasting models to form expectations, does fit the data better than the full rational expectations model. Adaptive learning leads to substantial time variation in the coefficients of the forecasting models. Especially the beliefs about the dynamics of the inflation process turn out to be very important for the overall performance of the model. Agents’ beliefs about the persistence of inflation display a peak the late seventies, and follow a clear downward trend starting during the Volcker disinflation period. This pattern in beliefs, which is in line with other recent evidence in the literature on inflation persistence, implies that the response of inflation to the various shocks declined significantly over the last 25 years. In this way, adaptive learning about inflation persistence also explains the observed decline in both the mean and the volatility of inflation as well as the flattening of the Phillips curve. Allowing for learning about inflation dynamics also results in lower estimates for the persistence of the exogenous processes that drive price and wage dynamics in the Rational Expectation version. We also find that the implicit beliefs of agents based on small forecasting models are more closely related to the survey evidence on inflation expectations than the beliefs under rational expectations. JEL codes: C11, D84, E30, E52
Uncertainty, Variability, and Earthquake Physics in Ground‐Motion Prediction Equations

Residuals between ground‐motion data and ground‐motion prediction equations (GMPEs) can be decomposed into terms representing earthquake source, path, and site effects. These terms can be cast in terms of repeatable (epistemic) residuals and the random (aleatory) components. Identifying the repeatable residuals leads to a GMPE with reduced uncertainty for a specific source, site, or path location, which in turn can yield a lower hazard level at small probabilities of exceedance. We illustrate a schematic framework for this residual partitioning with a dataset from the ANZA network, which straddles the central San Jacinto fault in southern California. The dataset consists of more than 3200 1.15≤ M ≤3 earthquakes and their peak ground accelerations (PGAs), recorded at close distances ( R ≤20 km). We construct a small‐magnitude GMPE for these PGA data, incorporating V S 30 site conditions and geometrical spreading. Identification and removal of the repeatable source, path, and site terms yield an overall reduction in the standard deviation from 0.97 (in ln units) to 0.44, for a nonergodic assumption, that is, for a single‐source location, single site, and single path. We give examples of relationships between independent seismological observables and the repeatable terms. We find a correlation between location‐based source terms and stress drops in the San Jacinto fault zone region; an explanation of the site term as a function of kappa, the near‐site attenuation parameter; and a suggestion that the path component can be related directly to elastic structure. These correlations allow the repeatable source location, site, and path terms to be determined a priori using independent geophysical relationships. Those terms could be incorporated into location‐specific GMPEs for more accurate and precise ground‐motion prediction. [Electronic Supplement:][1] Earthquake catalogs. [1]: http://www.bssaonline. org/lookup/suppl/doi:10.1785/0120160164/-/DC1
IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-9 RITE

In this paper, we describe the IMTKU (Information Management at TamKang University) textual entailment system for recognizing inference in text at NTCIR-9 RITE (Recognizing Inference in Text). We proposed a textual entailment system using a hybrid approach that integrate knowledge based and machine learning techniques for recognizing inference in text at NTCIR-9 RITE task. We submitted 3 official runs for both BC and MC subtask. In NTCIR-9 RITE task, IMTKU team achieved 0.522 in the CT-MC subtask and 0.556 in the CT-BC subtask.
Understanding engagement in dementia through behavior.

Engagement in activities is of crucial importance for people with dementia. State of the art assessment techniques rely exclusively on behavior observation to measure engagement in dementia. These techniques are either too general to grasp how engagement is naturally expressed through behavior or too complex to be traced back to an overall engagement state. We carried out a longitudinal study to develop a
UvA-DARE (Digital Academic Repository) Empiricist Solutions to Nativist Problems using Tree-Substitution Grammars Empiricist Solutions to Nativist Puzzles by means of Unsupervised TSG

While the debate between nativism and empiricism exists since several decades, sur-prisingly few common learning problems have been proposed for assessing the two opposing views. Most empiricist researchers have focused on a relatively small number of linguistic problems, such as Auxiliary Fronting or Anaphoric One . In the current paper we extend the number of common test cases to a much larger series of problems related to wh-questions, relative clause formation, topicalization, extraposition from NP and left dislocation. We show that these hard cases can be empirically solved by an unsupervised tree-substitution grammar inferred from child-directed input in the Adam corpus (Childes database).