Miracle-dz/UniFAR-FTUs huggingface dataset:
Symposium on the Theory of Technology Enactment in Jane Fountain's (2001)Building the Virtual State

J E. Fountain is associate professor of public policy at the John F. Kennedy School of Government at Harvard University and a research member of the Internet Policy Insti tute. Her influential 2001 book for the Brookings Institution, Building the Virtual State: Information Technology and Institutional Change , has been hailed as “a major contribution to the literature on information technology in the public sector” (C. Schweik, editorial review posted on amazon.com, retrieved June 18, 2003). Another reviewer posting on amazon.com noted “the theoretical rigor, as well as practical application, makes this a useful book for both academics and practitioners. ” A third reviewer, focusing on the theoretical architecture of the work, stated, “Fountain’s Technology Enactment framework is specially useful for analyzing e-government projects, and understanding their complexity generated by strength of institutional barriers and required operational change. ” Fountain’s book has been widely adopted in courses on information technology in the public sector, in part because it provides a theoretical structure with which to make sense of the complex and fastevolving world of public technology. Fountain (2001) described her purpose in the first paragraph of the book’s preface:
The technique of special effects cinematography

Interestingly, technique of special effects cinematography that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that is provided in better way and utterance will be expected by many peoples. Even you are a good reader or not, feeling to read this book will always appear when you find it. But, when you feel hard to find it as yours, what to do? Borrow to your friends and don't know when to give back it to her or him.
A novel optical design for light field acquisition using camera array

There is pressing need for 3D imaging technology in many areas. A number of light field camera designs are proposed using single image sensor. However, due to the limited size of image sensor chip and optical design, the disparity of the light field captured using single sensor camera systems is very small. Stanford group pioneered an implementation of light field capture systems using camera array. But, since the camera array often employs discrete imaging sensors and associated optics, the coverage image area for 3D reconstruction is limited. We propose a novel optical design approach that customizes the design for each optical channel to maximize the image quality, coverage area, among other design targets. We then integrate the optical design of all imaging channels into a single monolithic piece with compact structure, high reliability and assembly precision. As a result, the captured light field images from all imaging channels have the same object size with uniform image quality, thus greatly improve the quality of 3D light field reconstruction.
Distributed anonymous data perturbation method for privacy-preserving data mining

Privacy is a critical requirement in distributed data mining. Cryptography-based secure multiparty computation is a main approach for privacy preserving. However, it shows poor performance in large scale distributed systems. Meanwhile, data perturbation techniques are comparatively efficient but are mainly used in centralized privacy-preserving data mining (PPDM). In this paper, we propose a light-weight anonymous data perturbation method for efficient privacy preserving in distributed data mining. We first define the privacy constraints for data perturbation based PPDM in a semi-honest distributed environment. Two protocols are proposed to address these constraints and protect data statistics and the randomization process against collusion attacks: the adaptive privacy-preserving summary protocol and the anonymous exchange protocol. Finally, a distributed data perturbation framework based on these protocols is proposed to realize distributed PPDM. Experiment results show that our approach achieves a high security level and is very efficient in a large scale distributed environment.
On the Growth and Detectability of Land Plants on Habitable Planets around M Dwarfs.

Abstract One signature of life on Earth is the vegetation red edge (VRE) feature of land plants, a dramatic change of reflectivity at wavelength near 0.7 μm. Potentially habitable planets around M dwarfs are tidally locked, which can limit the distribution of land plants. In this study, we used a biogeochemical model to investigate the distribution of land plants on potentially habitable planets around M dwarfs driven by climate data produced in a general circulation model (GCM). When considering the effects of clouds, the observation time needed for VRE detection on nearby p = 1 exoplanets around nearby M dwarfs is on the order of days using a 25 m2 telescope if a large continent faces Earth during observations. For p = 1.5 exoplanets, the detection time could be similar if land plants developed the capability to endure a dark/cold environment for extended periods of time and the continent configuration favors observations. Our analysis suggests that hypothetical exovegetation VRE features are easier to .
RFI suppression algorithm based on median filter for SAR data

This paper proposes a novel method based on median filter for radio frequency interference (RFI) suppression applied to synthetic aperture radar (SAR). The RFI has higher power than the useful echo signal and has narrow property in range frequency domain. A threshold called max-mean-ratio (MMR) is proposed to detect the RFI existence. If the RFI exists, then the echo signal is processed with a median filter. The method is verified with the linear frequency modulation (LFM) and point target simulation. In the end, the method is applied to RadarSat-1 data to demonstrate the performance. (5 pages)
Knowledge-based management of cellular clone fraud

The authors discuss the problems of fraudulent use of cellular networks, and in particular, the detection and management of cellular clone fraud, a new and fast-developing form of fraud with potentially large impact on carrier revenues. They discuss the problem, industry-proposed solutions, and the utility of knowledge-based techniques for detecting cellular clone fraud and managing it by recommending appropriate fraud-containment actions. <<ETX>>
Polyethylene Glycol Conjugation at Cys 232 Prolongs the Half-Life of 1 Proteinase Inhibitor

of nonglycosylated recomsuccessful, but little is currently known about the feasibility binant human 1PI (rh1PI) results in an active inhibitor with of this strategy or the effects of ovine post-translational prolonged in vivo stability. In addition, 72 h after airway instillamodifications on the protein’s pharmacokinetic properties tion PEG-rh1PI was found to be significantly better than glycosylated 1PI in protecting the lung against leukocyte elastase– in humans. In this context, we chose to explore the pharmamediated lung hemorrhage. We conclude that thiol-specific cokinetics and HLE inhibitory activity of an alternate HLE PEGylation markedly improves the in vivo pharmacokinetic pro- inhibitor in the form of recombinant human1PI covalently file of rh1PI and represents a simple, novel strategy to address conjugated with polyethylene glycol. the therapeutic goal of human leukocyte elastase inhibition. Polyethylene glycol is a polyalkylene oxide polymer which, when linked to proteins (a process referred to as
Interlexical Relations in English Stress

In this paper, we propose a cognitive, non-reductionist analysis of English stress as it pertains to interlexical relations, based on the usage-based model as proposed by cognitive grammar and on the connectionist interactive activation model. We claim that interlexical relations involved in English stress can felicitously be accounted for by employing actually-occurring expressions as constraints and that precise explication of these relations requires consideration of not only phonological but also semantic factors. In the course of making these claims, we attempt to demonstrate that cognitive grammar, being a usage-based, non-reductionist framework, can accommodate actually-occurring expressions as constraints in a coherent manner and further that the theory can naturally bring semantic factors to bear on phonological analyses, being a non-modular, unificational framework.
Hidden Markov estimation for unrestricted stochastic context-free grammars

A novel algorithm for estimating the parameters of a hidden stochastic context-free grammar is presented. In contrast to the inside/outside (I/O) algorithm it does not require the grammar to be expressed in Chomsky normal form, and thus can operate directly on more natural representations of a grammar. The algorithm uses a trellis-based structure as opposed to the binary branching tree structure used by the I/O algorithm. The form of the trellis is an extension of that used by the forward/backward (F/B) algorithm, and as a result the algorithm reduces to the latter for components that can be modeled as finite-state networks. In the same way that a hidden Markov model (HMM) is a stochastic analog of a finite-state network, the representation used by the algorithm is a stochastic analog of a recursive transition network, in which a state may be simple or itself contain an underlying structure. <<ETX>>
Three-dimensional motion analysis and structure recovering by multistage Hough transform

A new approach for the detection of motion of three-dimensional rigid bodies from two- dimensional images is presented. The approach is based on two main stages. In the first stage, the positions and velocities of feature points are detected from two-dimensional images. In the second stage, the rotation and the translation velocity of each body is detected from the positions and velocities of the set of feature points. We employ the Hough transform method in both stages. We describe the details of the second stage and the method of computation reduction in Hough transform. The effectiveness of our method is confirmed through computer experiment.
The Ambient Computational Environments Architecture for Reliable, Secure, and Pervasive Computing

During the past few years, the technology world has become more and more geared towards the next generation of Internet connectivity. How to integrate a myriad of devices and technologies into one easily accessible network of userfriendly computational resource became the next challenge. The ACE Ambient Computational Environments architecture aims at highscale and seamless integration of services (which can be defined as user applications or programs) and devices within a secure network and onto a robust framework. This architecture also allows for easy introduction of new services and devices, enabling the environment to adapt to new technologies and user needs. Such environments allow users to interact with it and to access computational resources from anywhere at the touch of a button or with a spoken command. The ACE infrastructure consists mainly of ACE service daemons, which are the building blocks of ACE services. These daemons, along with a secure, reliable, and persistent state storage comprise the basis of the ACE system architecture. This study is intended to outline the architecture of the ACE project, to illustrate the usefulness of ACE and its applications, and obtain some insight from other similar projects in academia and businesses as to how feasible and worthwhile the ACE approach is.
Image-based EPI real time ghost correction

This paper presents a new, real-time, ghost correction method for echo planar imaging (EPI) that has been implemented using the Imaging Calculation Environment (ICE) on a 3T Siemens MRI System. Conventional methods for correcting EPI image ghost are based on image phase correction or on a reference scan. This new method is also based on image phase correction, but uses a new algorithm for automatic determination of the phase correction, which allows entirely automated operation. With implementation of the new correction method in ICE, ghost-corrected images are automatically generated and loaded into the system's image database immediately after completion of each EPI scan. Experiments showed that this real time ghost correction method consistently reduced the ghost intensity in EPI images and improved overall image quality. On average, the ghost to signal ratio (GSR) improved from 13.0% to 3.2% using the new method.
A Hierarchical Algorithm for Mobile Ad-Hoc Networks

For mobile ad hoc networks, hierarchical algorithm can reduce communication relay and enhance the QoS of MANETs. In this paper, A hierarchical algorithm-FGM algorithm is proposed. This algorithm based on dynamic node’s Multi-feature fusion and Gibbs Random Field—Maximum a Posterior. The simulation results verify the effectiveness of the algorithm.
Modeling, Experimentation, Verification and Validation: Closing the Feedback Loop

ABSTRACT DYNAMIC-SYSTEM simulation as applied to crop systems is defined and explained in connection with the prediction of crop growth and yield. Experimental procedures and facilities for obtaining the data base pe-culiar to process-level models are also dilineated. The ab-solute need for model verification and validation before use is also discussed. Finally, the interrelation of the four preceding processes in a positive feedback manner which results in an amplificaiton of the research process is also discussed.
Evidence for global feature superiority in menu selection by icons

Abstract A search-and-select paradigm was adopted to investigate which visual characteristics of icons are relevant for menu selection. Two icon sets (abstract icons, representational icons) were compared to a word command set. For abstract icons, global features were used in order lo maximize their visual distinctiveness. For representational icons local features were used in order to ensure a high degree of representativeness and a small “articulatory distance”. Results revealed that abstract icons were searched and selected much faster than both word commands and representational icons. In addition, response time functions indicated that abstract icons can be searched in parallel (no effect of menu size) whereas word commands and representational icons have to be searched sequentially. Error rates were small in all conditions, and there was no indication of a speed-accuracy tradeoff. Thus, when icons are used in menu selection, visual distinctiveness (due to global features) seems to override respresen.
3D MODELING FROM GNOMONIC PROJECTIONS

Abstract. The paper presents a strategy able to derive and process high resolution images created by means of gnomonic projections. The implemented pipeline can be split into two phases: first, the sensor resolution of the camera is physically increased by acquiring and merging a set of images with a rotating camera equipped with a long focal lens; then the new set of gnomonic projections is processed with a 3D reconstruction methodology able to deal with very large images. Several issues are addressed in the paper, starting from image acquisition up to 3D modelling. Gnomonic projections have been demonstrated to be powerful tools when traditional pinhole images do not allow the reconstruction of small and fine details. Examples and comparisons aimed at determining the correctness of the mathematical approach for image orientation are illustrated as well.
Designing an Instructional Simulation for a Program Entry Panel

Operating many consumer products and electronic industrial machines is difficult when a clear relationship does not exist between the user interface and the device behavior. The mental representation of the user interface for an electronic device can include knowledge of button syntax and semantics as well as an understanding of the underlying model of the electronic device. Users do not need to learn the underlying device model because the sequence of steps required to operate most electronic devices generally cannot be inferred from the engineering models. A computer-based instructional simulation of a program entry panel for a telephone system was developed to help users learn panel syntax and semantics.
Analog VLSI current mode implementation of artificial neural networks

In this paper we examine all current-mode building blocks for implementation of artificial neural networks. The building blocks proposed include a current dependent pulse generator, a pulse frequency modulator used to multiply incoming pulses with variable weights, and a current in/current out sigmoid function circuit. The circuits can be easily implemented in a standard CMOS VLSI process. Simulations are presented to confirm the validity of the proposed circuits. <<ETX>>
Suggesting motion in health communication pictures: The effect of pictorial and extra-pictorial manipulation

Abstract The static character of pictures often contrasts sharply with the dynamic nature of the message they are meant to convey. Suggesting motion in static pictures is particularly important in communicative contexts in which vital messages and instructions need to be transmitted, for example in the context of health-intervention programmes. Pictures are often the main carriers of health-related messages, for instance when oral or video transmission is not available, or when written information is not accessible because the target group lacks the necessary reading skills. The present study investigates the effect of different design strategies used to suggest motion in static pictures. It compares the suggestive manipulation of iconic pictorial elements (i.e. the suggestive depiction of body parts, bodily expressions and postures) with the use of extra-pictorial (noniconic) devices (such as movement lines or arrows). In study 1, two groups of respondents were presented with one of two versions of the same motion-suggesting pictures: pictures with hands only, and pictures with hands and arrows added. In study 2, an extra group of respondents was exposed to a third version of the same pictures: pictures with arrows only. The results of study 1 reveal that the use of arrows results in a somewhat better recognition of motion and intended motion. However, this effect is small and applies mainly to respondents with relatively higher literacy levels. The results of study 2 show that arrows alone are far less efficient as motion cues than the other two variants. Furthermore, the comments of respondents reveal that arrows are noticed and mentioned far less often as motion cues than body parts or objects involved in the action.
Shell manipulation: interactive alteration of multiple-material fuzzy structures

Shell rendering uses a recently described data structure, called a shell, for representing semi- transparent volumes. The shell is a generalization of the semi-boundary representation used for fast visualization, manipulation, and analysis of binary volumetric objects. Shell manipulation is an extension of the previously developed manipulation operations on binary objects to fuzzily defined objects. The paper describes algorithms for plane and curved cut-away, separation, and segmental movement operations. These operations are done interactively on volume renditions of the objects in a standard workstation environment using portable software.
A comparison of steady‐state characteristics of buck‐type DC‐DC converter using DSP

In this paper, we describe the relationship between the control constants and the output voltage regulation characteristics of a buck DC/DC converter for a digital control system using P-I-D control, the minimum phase FIR filter, and the moving average constructed from digital signal processors. Furthermore, the digital control method and its control constants were studied comparatively from the perspective of suppressing the oscillations based on the limit cycle. We found that when an 8-bit analog-to-digital (A-D) converter having a quantization width of about 80 mV was used, we could obtain excellent results similar to the minimum phase FIR filter and the moving average, achieve an excellent output voltage regulation of less than 1.3% for fluctuations from a light load to the rated 2 A for the target 10 V, and suppress oscillations to less than 20 mV. In the P-I-D control method, adequate output voltage regulation characteristics were obtained, but oscillations could not be suppressed. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 1, 90(5): 1–10, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecja.20357
Trellis-hopping Turbo Coding

We present a turbo coding scheme whose constituent codes are designed using convolutional encoders with time-varying coefficients. These encoders are finite state sequence machines that operate over the Galois field GF(q). The scheme includes an encryption polynomial whose coefficients are changed periodically by means of a user key. The trellis coding procedure thus hops from one trellis to another, following a random sequence taken over a set of subtrellises which correspond to different convolutional encoders. The proposed scheme is introduced as a turbo code with encryption properties, and is presented in two forms, the systematic and the nonsystematic schemes.
An Interest Feature Spatial Approach for Personalized Recommendation

To expand user's actions of personalized recommendation, this paper introduces an Interest Feature Spatial based Recommendation Model. This model combines both collection behavior data of network users and content data of web pages located by URL address. The main content includes: (1) Proposing the construction of interest feature spatial based on SHG-Tree; (2) Proposing the formula to calculate interest feature values of network resources; (3) Proposing four interest match algorithms along with six types of personalized recommendation schemes. Experiments show that the recommendation service can achieve millisecond responding, the precision, especially recall metric is better than item-based collaborative filtering algorithm.
Audio extraction from silent high-speed video using an optical technique

Abstract. It is demonstrated that audio information can be extracted from silent high-speed video with a simple and fast optical technique. The basic principle is that the sound waves can stimulate objects encountered in the traveling path to vibrate. The vibrations, although usually with small amplitudes, can be detected by using an image matching process. The proposed technique applies a subset-based image correlation approach to detect the motions of points on the surface of an object. It employs the Gauss-Newton algorithm and a few other measures to achieve very fast and highly accurate image matching. Because the detected vibrations are directly related to the sound waves, a simple model is introduced to reconstruct the original audio information of the sound waves. The proposed technique is robust and easy to implement, and its effectiveness has been verified by experiments.
Numerical results on capacity bounds for magnetic recording channels

Capacity for magnetic recording channels has been difficult to calculate due to the binary input constraint. We summarize different capacity bounding techniques for channels with media and electronics noise. The performance of existing detectors are computed and compared to the proposed capacity bounds. Simulation results project a less than 3 dB gap between the capacity lower and upper bounds, and a potential coding gain of 4-6 dB for the current read channel detectors.