Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatial data grid based on CDN

This paper firstly introduces the spatial data grid and the CDN (Content Delivery Network) technology. And then it depicts the significance of integrating grid with CDN. On this basis, this paper proposes a method of constructing the spatial data grid system by using CDN to support the massive spatial data online service. Finally, the simulation results by OPNET show that the programme do can improve the system performance, and reduce response time in a greater extent.
Study on the Application of COM Method in Motor Imagine

Brain control the behavior of human, When someone thinks of something, there is thinking movements in someone's brain. Collecting the brain electric wave through Neroscan, Inspecting the feature of the C3、CZ、C4 of Brain electric wave, which apply for the Com Component and analyze the Com principle deeply. Adhibition of control signal to control the virtue of the movement of tractor, At last, Computing the exactitude of control of brain electric wave, The result of experiment is perfect.
ON THE INTERACTION OF POSSESSIVE CONSTRUCTIONS WITH TWO TYPES OF ABSTRACT NOMINALIZATION: A COGNITIVE VIEWPOINT

This paper provides a unified account of the occurrence of possessive forms with two types of nominals, namely derived nominals with-tion, -lion, -al suffixes and action nominals in-ing forms. Based on the claim by Langacker (1987a, 1991) that the two differ in terms of construal of boundedness, it is argued that their semantic difference triggers various behavioral discrepancies. Having argued that the basic characteristics of the possessive construction in general is the reference-point function, two types of possessives are investigated, i. e. objective possessives and temporal possessives, from the point of view of the semantics of both the construction and the nominals in it. Regarding the former, a constraint which presupposes bounded construal of the event is formulated in terms of Croft's (1991) causal chain representation. Concerning the latter, it is argued that a temporal possessive in general requires boundedness of its identifying target. *
Mid-Pliocene Climate Modelled Using the UK Hadley Centre Model: PlioMIP Experiments 1 and 2

Abstract. The Pliocene Model Intercomparison Project (PlioMIP) is a sub-project of the Paleoclimate Modelling Intercomparison Project (PMIP) whose objective is to compare predictions of the mid-Pliocene climate from the widest possible range of general circulation models. The mid-Pliocene (3.3–3.0 Ma) is the most recent sustained period of greater warmth and atmospheric carbon dioxide concentration than the pre-industrial times and as such has potential to inform predictions of our warming climate in the coming century. This paper describes the UK contribution to PlioMIP using the Hadley Centre Model both in atmosphere-only mode (HadAM3, PlioMIP Experiment 1) and atmosphere-ocean coupled mode (HadCM3, PlioMIP Experiment 2). The coupled model predicts a greater overall warming (3.3 °C) relative to the control than the atmosphere-only (2.5 °C). The Northern Hemisphere latitudinal temperature gradient is greater in the coupled model with a warmer Equator and colder Arctic than the atmosphere-only model, which is constrained by sea surface temperatures from Pliocene proxy reconstructions. The atmosphere-only model predicts a reduction in equatorial precipitation and south Asian monsoon intensity, whereas the coupled model shows an increase in the intensity of these systems. We present sensitivity studies using alternative boundary conditions for both the Pliocene and the control simulations, indicating the sensitivity of the mid-Pliocene warming to uncertainties in both pre-industrial and mid-Pliocene climate.
INFORMATYKA AFEKTYWNA W ZASTOSOWANIACH CYWILNYCH I WOJSKOWYCH

Affective Computing (abbr. AC) attempts to fill the communicative gap between the highly emotional human/user and computers by developing computational systems recognising and responding to the affective states. Technologies which have been developed in recent years, such as body gesture and movement processing, facial expression recognition, emotional speech processing, can be used in affective multimodal systems to the perception and generation of affects. The authors discuss key topics in current research and aim at investigating the extent to which the available opportunities are being exploited, including military applications.
Human motion simulation for vehicle and workplace design

Digital Human Models (DHMs) are fast becoming an effective tool for performing proactive ergonomics analysis and design. DHM software, such as Jack, SAFEWORK, RAMSIS, SAMMIE, and the UM 3DSSP, are meant to assist a designer early in a product development process, when he or she is attempting to improve the physical design of vehicle interiors and manufacturing workplaces. To become even more effective in meeting such a goal, it is proposed that future DHMs must include valid posture and motion prediction models for various populations. It is argued in this article that existing posture and motion prediction models now used in DHMs must be based on real motion data to assure validity for complex dynamic task simulations. It is further proposed that if valid human posture and motion prediction models are developed, these can be combined with psychophysical and biomechanical models to provide a very powerful tool for predicting dynamic human performance and population specific limitations. © 2007 Wiley Periodicals, Inc. Hum Factors Man 17: 475–484, 2007.
Using disruptive technologies to make digital connections: stories of media use and digital literacy in secondary classrooms

This study focused on ways teachers and students in an urban high school used technologies often labeled as disruptive (i.e. social media and mobile phones) as learning and relationship building tools, inside and outside the classroom. In this teacher research study, secondary teachers discussed digital literacies, the digital divide, and digital teacher–student relationships with their urban high school students. Findings showed that students had difficulties connecting their personal media use (social media and mobile phones) with its usefulness as an educational tool. In response, teachers leveraged teacher–student relationships, the social–emotional bond developed through classroom communication that links the two groups, by connecting with students via social media and other technologies in order to extend learning beyond the classroom. Examples of how and why secondary teachers structured their digital interactions with students may provide a framework for other secondary educators wanting to create or expand their digital classrooms.
Design of fixed structure controllers with respect to various specifications using robust control and genetic algorithm

This paper presents a concrete approach to design controllers while taking into account industrial specifications like, for example, set-time of a step response or robustness margins. This approach combines the minimization of the H/sub /spl infin// norm of the closed-loop system and a genetic algorithm. It is flexible enough to design control laws of any structure as soon as an initial controller is known. The regulation of the steam generator of a power plant is considered to illustrate the method.
Searching for innovation through a convergent technology e-science network approach

The objective of this paper is to present the methodology adopted by Petrobras (http://www2.petrobras.com.br/ingles/index.asp), the Brazilian oil company, in e-science collaborative projects to generate ideas of new opportunities obtained by technology convergence for an energy company that searches for solutions for the future. This effort is based on the contributions of a group of 50 senior scientists from the top five research institutes working iteratively via the Web and text mining activities to look for new technologies.
An Elementary-Motion-Detector Based on Hardware Lateral Inhibition Network

A hybrid analogy-digital system which imitates the compound eyes of insect for velocity evaluation has been proposed. The system enlarged measurement range of velocity by using a resistance network together with a D-trigger array instead of the time delay channel used in conventional elementary motion detector. The influence of background illumination on velocity evaluation is reduced by using lateral inhibition network. Moreover, the lateral inhibition network works in full hardware mode rather than processing image by software, allowing us to evaluate the velocity of a fast moving object. The feasibility of the system has been confirmed by the experiments.
Bis(2,4-diamino-6-oxopyrimidinium) sulfate monohydrate

In the title compound, C4H7N4O2+·SO42−·H2O, the asymmetric unit contains two amino­pyrimidinium cations, a sulfate anion and a water mol­ecule. These species are connected by N—H⋯O and O—H⋯O hydrogen bonds, resulting in a three-dimensional network.
An experimental evaluation of abbreviation schemes in limited lexicons

Abstract Five abbreviation schemes (simple truncation, vowel drop, minimum to distinguish, phonics and user denned) were analysed for learning, encoding and decoding. Forty subjects were each tested on two schemes, using two different 20 word lexicons. Simple truncation was the easiest to learn, based upon a trials to criteria experiment. Using a modified tachistoscopic display, simple truncation was the best for encodability. Either vowel drop or phonics was the best scheme for decoding. It appears that information content is important in decoding, but not in encoding.
Component Labeling Algorithms on an Intel iPSC/2 Hypercube

One of the intermediary stages of image analysis in vision is the process of component labeling. Given a digital black/white image distributed throughout the nodes of an Intel iPSC/2 hypercube, the objective of this research is to develop and implement efficient parallel algorithms for labeling the (black) connected components. The basic solution strategy is based on divide-and-conquer, in which each node initially labels the subimage that it is responsible for. The results of the local labeling are then combined using boundary-overlapping resolution strategy. In an effort to develop algorithms that are both time and space efficient, we consider manipulating various data structures, using a variety of sequential and parallel component labeling schemes, and performing load balancing techniques to maximize parallelism. The images currently under experiment range from real pictures extracted from scanners, to medical X-rays, to digital images generated with respect to certain constraints. Experimental results, analysis, and interpretation of various algorithms are presented.
A Work Domain Analysis of Patient Monitoring in the Operating Room

This paper presents a method for structuring the work domain of the anesthesiologist in the operating room, using Rasmussen's (1986) approach for work domain analysis. The goal of this research is to provide an integrated approach for patient monitoring by bridging the gap between physiological principles associated with the patient and clinical practice. Data were collected from literature reviews, discussions with anesthesiologists, operating room observations, and simulator sessions to develop the work domain representation. From this information, the work domain was structured using various levels of abstraction and decomposition, independent of any particular situation. Next, an analysis of the links between the operating room and the work domain was performed. The results indicated that this approach has useful insights for training and interface design. The approach provided a framework for representing the work domain as an invariant purpose-based structure for a constantly changing work environment.
Automatic Assessment of Problem-Solving Skills in Mathematics

Since 1985 the CALM Project for computer aided learning in mathematics at Heriot-Watt University in Edinburgh has delivered automatic assessment to large groups of students in engineering and science. Initially, CALM used the computer to assess basic mathematical skills/techniques and acquired facts/knowledge. CALM has been proud of its testing capability, providing as it does a comparison of numerical and mathematical expressions as answers. This is well beyond the multiple-choice format favoured in some subjects but not appropriate in much of mathematics. However, much progress has been made through the design of intermediate steps, the inclusion of hints and the extension of question types. In the SCHOLAR Project, delivered over the Web to 58,000 students in all Scottish schools during the last academic year, more complex mathematical skills have been tested automatically using the on-line assessment engine known as CUE. This article addresses the advances in automatic assessment with particular emphasis on mathematics. The capability of the computer to assess more general problem-solving skills in mathematics is explored. The article concludes with some thoughts on how the subject might expand in the near future.
Predictive PID controllers

The design of predictive PID controllers with similar features to the model-based predictive controllers (MPC) is considered. Corresponding to a prediction horizon of size M, a bank of M parallel conventional PID controllers is defined. All the controllers have the same three terms gains, but the ith controller operates on the future error signal at time (t+i). A known future set point and dead time can be easily incorporated and the input constraints can be handled via the solution of constrained MPC problem or integral windup techniques. The stability of the closed loop system is studied and the optimal values of PID gains are derived. The controller reduces to a conventional PI or PID controller for the first or second-order system, respectively. The controller can be implemented on the existing process control hardware and the conventional PID tuning knobs can be used to adjust the controller performance. Simulation studies for a number of different systems show that the controller performance is close to a MPC type control algorithm
A Reconfigurable Radix-r FFT Hardware Structure Design

A reconfigurable radix-r FFT structure design is proposed, to reduce the memory and time consumption caused by zero-paddling in traditional radix-2/4 methods. The radix-r FFT computing flow is divided into three iterative steps: rotate factors computation; memory access schedule; butterfly coefficients matrix multiplication. The hardware structure is depicted, in which the memory accessing schedule is implemented by a finite state machine, the rotate factors and butterfly coefficients are calculated by the Taylor series expansion. The time consumption of the proposed structure is analyzed, and with the arbitrary data points, an optimized radix can be used to minimize the computing time. Compared with traditional methods, the proposed design has the advantage of generality, less time consumption and hardware costs.
Controller Reduction by the Block Balanced Realization Using the General Representation of H.INF. Controllers

In this paper, we propose a new controller reduction method using the closed-loop block balanced realization technique. To decrease the closed-loop performance degradation, it is need to take account the closed-loop configuration in controller reduction process. The block balanced realization technique was developed from the open-loop balanced realization method to consider the closed-loop configuaration. In our method, we employ the block balanced realization method to reduce the order of H∞ controllers, and to consider robustness for controller variation, we use the general representation of H∞ controllers. A numerical example is presented to illustrate the effectiveness of our method.
Classification-based Reliability Assessment with Semi- Supervised Learning

In the proposed research, the accuracy of a classification-based surrogate model for reliability assessment is improved by augmenting the training data with a large number of unlabeled data. The implemented algorithm, Semi-Supervised Learning (SSL) has the ability to drastically reduce the computational cost in the reliability assessment process which often requires simulation tools. This feature is considerably important because obtaining class labels for a data point in reliability analysis requires the utilization of the simulation tool which is highly computationally intensive. A combination of Probabilistic Neural Network (PNN) and Expectation-Maximization (EM) algorithm is considered to use the labeled and unlabeled data simultaneously in order to improve the accuracy of the PNN classifier. The proposed algorithm first trains a PNN classifier using the labeled data. This classifier is then used to probabilistically label the unlabeled data. Then, a new PNN classifier is trained using both labeled and unlabeled data. This procedure is iterated until convergence. The example problem of a ten bar truss shows the efficacy of the proposed procedure in estimating the probability of failure (Pf). It clearly demonstrates considerable improvements in the classifier performance when both labeled and unlabeled data are used without requiring additional computational costs.
Machine Learning on Emotional Intelligence and Work Life Balance

are an essential part of our biological makeup, and every morning they march into the office with us and influence our behavior. Our ultimate focus is on Emotional Intelligence (EI) and we combine with data mining technology. Dealing with employees emotions using different machine learning techniques is one of the phenomenal researches in today's world. Here, we examine how far the employees are conscious of their own self and found the ideas and views of an individual about themselves and others. Without proper knowledge about their personality it will be very difficult for an individual to manage their own emotions. This study aims at finding out the individual abilities to manage their emotions in order to perform well. The clustering and classification techniques are applied on same dataset of human emotions, which deals with different types of analysis. Keywordsintelligence, Stress, Job satisfactions and Productivity
Parallelized physical optics computations for the RCS prediction of rough surface by CUDA

The problem of wave scattering by rough surfaces has been studied extensively by scientists and engineers because of its wide applications in science and technology. In this letter, the Physical Optics method, which is a high frequency technique, is presented for analyzing the scattering of rough surface. In addition, the compute unified device architecture of NVIDIA takes advantage of the Graphics Processing Units for parallel computing, and greatly improves the speed of computation. As there is a large number of data to deal with, a parallelization concept is presented which is based on the utilization of GPU to further improve the computational efficiency. In the end, the simulation time of CPU-based Physical Optics method and GPU-based Physical Optics method are compared, and it can be found that good acceleration effect has been achieved.
Non-causal versus causal qualitative modelling and simulation

Qualitative models of dynamical systems fall into noncausal or causal approaches. The noncausal approach is widely used in part because traditional physics describes phenomena by means of symmetric functional relations. It supports the idea that causality can be ignored or inferred from the model itself. Nevertheless, when people explain how things work, they use causal relations. Representing causality explicitly makes it possible to take advantage of exogenous knowledge necessary for understanding the phenomena and supporting self-explanatory simulation. The basic concepts used in both approaches, in addition to the representation formalisms and algorithms, are discussed. >
15.2: Development of an UXGA Display System by a Digital Packet Video Link

In this paper, we describe the development an UXGA Display system by using a trial Digital Packet Video(PV) Link for a next‐generation interface(I/F). We already presented the basic idea and performance about this system. Then, we can apply this system for a QUXGA display, and then we can decrease the data transfer rate from PC to LCD. So we can solve the problem of I/F by this system, we propose the Digital PV Link as a standard for the next generation I/F of high density displays.
Dynamic Data Driven Applications Systems (DDDAS) modeling for automatic target recognition

The Dynamic Data Driven Applications System (DDDAS) concept uses applications modeling, mathematical algorithms, and measurement systems to work with dynamic systems. A dynamic systems such as Automatic Target Recognition (ATR) is subject to sensor, target, and the environment variations over space and time. We use the DDDAS concept to develop an ATR methodology for multiscale-multimodal analysis that seeks to integrated sensing, processing, and exploitation. In the analysis, we use computer vision techniques to explore the capabilities and analogies that DDDAS has with information fusion. The key attribute of coordination is the use of sensor management as a data driven techniques to improve performance. In addition, DDDAS supports the need for modeling from which uncertainty and variations are used within the dynamic models for advanced performance. As an example, we use a Wide-Area Motion Imagery (WAMI) application to draw parallels and contrasts between ATR and DDDAS systems that warrants an integrated perspective. This elementary work is aimed at triggering a sequence of deeper insightful research towards exploiting sparsely sampled piecewise dense WAMI measurements – an application where the challenges of big-data with regards to mathematical fusion relationships and high-performance computations remain significant and will persist. Dynamic data-driven adaptive computations are required to effectively handle the challenges with exponentially increasing data volume for advanced information fusion systems solutions such as simultaneous target tracking and ATR.
Optimal two- and three-stage production schedules with setup times included

Each of a collection of items are to be produced on two machines (or stages). Each machine can handle only one item at a time and each item must be processed through machine one and then through machine two. The setup time plus work time for each item for each machine is known. A simple decision rule is obtained in this paper for the optimal scheduling of the production so that the total elapsed time is a minimum. A three‐machine problem is also discussed and solved for a restricted case.
FORMALIZING CONFLICT RESOLUTION IN POLICY MAKING

Conflict and its resolution in the context of policy making is formalized. A conflict is a problem which, as initially defined by a dynamical system, has no feasible solution. Conflict resolution involves redefinition of the system so that for the redefined system there is a solution. The system delivers operational goals to players who exercise controls. The goals are operational expressions of underlying values desired by the players. A goals/values referral process which facilitates redefinition of a system in conflict is formalized. Two applications of conflict resolution are considered. †Work undertaken while author was visiting professor, University of Paris-Dauphine. The author wishes to thank the following members of trie Dauphine-N.Y. U. , systems research group for their helpful comments: Alan Checroun, Vidal Cohen and Gerard Levy.