Miracle-dz/UniFAR-FTUs huggingface dataset:
Building Trust in Cyberspace

Abstract Michael Nelson spoke from a series of overhead transparencies. Unfortunately, we do not have available a full transcript of his speech. What follows is a copy of his overhead notes that serve to outline the content of his discussion . The Editor The author suggests the need for more effective mechanisms for validating the authenticity, accuracy, and integrity of digital information made available on the Internet. Traditionally, information specialists helped to separate fact from fiction. Now, the challenge is to promote the development of millions of “digital editors”.
Point Cloud Registration Method Based on Face-Mating after Denosing

A method is presented to accurate face-mating point cloud registration after dealing with noise point. Point cloud registration is divided into two parts,firstly,coarse registration is applied for visual point cloud,then three local sufaces of overlap cloud region are selected to be mating calculated after denosing base on least squares fitting , at last accurate splicing parameters of translation and rotation are acquired by nonlinear least square . This algorithm is easy to deal with the denosing, has faster convergence speed and higher registration accuracy.Its feasibility is proved by samples.
Double digital watermarking algorithm based on SVD - DFT technologies

In view of the current most based on Fourier transform domain method, its resist geometric attacks performance is very good, the embedded information is also big, but there are shearing attack ability is bad problems, and put forward a kind of based on singular value decomposition and discrete Fourier transform with the combination of double watermarking algorithm is proposed. In this scheme, first to do image singular value decomposition, and then out of decomposition of matrix DFT spectrum amplitude image watermark embedding, namely the row of molecules, to each image block DFT transform, relative to a the predefined threshold selection important coefficient, in its corresponding to the extent of the component watermark information, the weight of the original position and embedded watermark extraction preserved as a key, you will get the image with the watermark. The experimental results show that this method can achieve good image visual effect, to shear, noise, and rotated against all has good robustness.
Improving Profitability with Segmented Income Statements for Local Area Networks

Suggests that, though local area networking is one of the fastest growing segments in the computer industry, the selection of appropriate features for inclusion in local area networks (LANs) can be confusing for both vendors and end‐users. Describes a system that measures the degree to which specific LAN features meet end‐user needs and contribute to profitability. Reveals that, in the analysis, the features file security and remote access had positive effects on the overall LAN price. Provides a methodology for selecting the most profitable features, such as remote access and gateways to PC networks, to include in a contemplated LAN product line.
Development of a connection matrix for productive grounded cognition

We investigate the development of a productive architecture for grounded cognition. Grounded representations cannot be copied to form compositional structures underlying productive cognition. Yet, they can be embedded in neural blackboard architectures, which provide a basis for productive cognition with grounded representations. In these architectures, compositional structures are formed by temporarily binding grounded representations using selective connection matrices. We present simulations that show that these selective connection matrices can develop on the basis of initially nonselective random connections. Two factors influence this development in particular: the variability of the initially nonselective random connections and the strength of the Hebbian and anti-Hebbian learning that influence the connections. To the best of our knowledge, this paper is the first to demonstrate the possibility of the development of a productive (compositional) architecture based on “in situ” (grounded) representations.
An evolutionary method for combining different feature selection criteria in microarray data classification

The classification of cancers from gene expression profiles is a challenging research area in bioinformatics since the high dimensionality of microarray data results in irrelevant and redundant information that affects the performance of classification. This paper proposes using an evolutionary algorithm to select relevant gene subsets in order to further use them for the classification task. This is achieved by combining valuable results from different feature ranking methods into feature pools whose dimensionality is reduced by a wrapper approach involving a genetic algorithm and SVM classifier. Specifically, the GA explores the space defined by each feature pool looking for solutions that balance the size of the feature subsets and their classification accuracy. Experiments demonstrate that the proposed method provide good results in comparison to different state of art methods for the classification of microarray data.
Stanford University Libraries Study: Topographical Map Vectorization and the Impact of Bayer Moiré Defect

The discovery of defects in Stanford University Library's topographical map raster image files prompted a study of the impact of Bayer moiré on vectorization. An analysis of findings has supported developing a better understanding of color filter array technology and some of its associated quality issues: rationales for on-demand file remediation of affected image files, options for map imaging in the future, an effective and open-source approach for vectorization, performance improvements for producing and vectorizing raster images. Additional quality control measures for imaging large maps, and a refinement of the topo raster image specification are also shared.
Faculty Status, Tenure, and Professional Identity: A Pilot Study of Academic Librarians in New England

Faculty status, tenure, and professional identity have been long-lasting issues for academic librarians for nearly forty years, yet there is little agreement on the benefits of faculty status. This paper examines faculty status and tenure for academic librarians and presents the results of a survey inquiry into professional identity, current and expected roles, views on faculty status and tenure, and personnel status of academic librarians in the New England area. The study affirms that 45 percent of the respondents have some combination of faculty status, tenure status, and faculty plus tenure status, and that 65 percent of academic librarians do not have tenure. While all academic librarians perceive strong professional development support, only those with faculty status and tenure (and librarians involved with new and emerging areas of study) see themselves having more career advancement and development opportunities. This research concludes that librarians’ professional identities are closely matched with five traditional roles. Four new or emerging roles, which may be referred to as “educator,” “teacher,” “information professional,” and “facilitator of learning,” reveal significant differences across personnel status.
Dynamic programming approach to decentralized stochastic control problems

This paper treats problems of decentralized control of stochastic discrete-time dynamic systems with one-step-delay sharing information structure. It is shown that, by applying dynamic programming technique, the problem can be decomposed into several static team problems. For LQG case, this approach gives a solution which clearly shows the relation between estimation and control functions in the optimal control policy. Also the form of this solution is convenient for numerical computation of the optimal control.
Lumbar Spinal Fusion: Indications, Surgical Techniques and Post-Operative Management. A Survey among Spine Surgeons in the Netherlands

Study design: Cross sectional study Objective: Spinal fusion is commonly used for treatment of degenerative disc disorders. However, there is no consensus among spinal surgeons on operative technique, the type of implant being used and postoperative care. With the growing importance of Evidence Based Medicine, the demand for clinical guidelines is increasing. The aim of this study was to provide an overview of the current practice regarding lumbar spinal fusion among spinal surgeons in the Netherlands. The findings of this enquiry may help to create guidelines. Methods: An online 30-question survey was sent to all members of the DSS (orthopedic surgeons and neurosurgeons), focusing on operative techniques, implants and post-operative care after spinal fusion in patients with symptomatic degenerative conditions of the lumbar spine. Results: The response rate was 66%. The bilateral PLIF technique with 2 cages was preferred by most surgeons. Neurosurgeons used a PEEK cage more often, whereas orthopedic surgeons preferred a titanium cage. There was no consensus on assessment of outcome of fusion and post-operative care. Conclusions: There is little consensus among spine surgeons in the Netherlands regarding perioperative management, type of instrumentation and implants, operation technique, and postoperative management in lumbar spinal fusion in patients with symptomatic degenerative disc disorders, which underlines a growing demand for uniform guidelines.
Airborne SAR processing using the chirp scaling and a time domain subaperture algorithm

The paper proposes a new approach for high resolution airborne SAR data processing, which uses a modified chirp scaling algorithm in order to incorporate the correction of strong motion errors as well as large the variations of the Doppler centroid in range and azimuth. Additionally, data acquired with squint angle greater than 40/spl deg/ can be processed with less than 3.5% degradation of geometric resolution. A time domain subaperture approach can be used in range compression for accommodating the variation of the frequency modulation of the chirp signal and also the variation of the secondary range migration, which are caused by the modified chirp scaling algorithm. Further, the time domain subaperture approach can be used in azimuth for incorporating the Doppler centroid variations in azimuth. <<ETX>>
YouDash3D: exploring stereoscopic 3D gaming for 3D movie theaters

Along with the success of the digitally revived stereoscopic cinema, events beyond 3D movies become attractive for movie theater operators, i.e. interactive 3D games. In this paper, we present a case that explores possible challenges and solutions for interactive 3D games to be played by a movie theater audience. We analyze the setting and showcase current issues related to lighting and interaction. Our second focus is to provide gameplay mechanics that make special use of stereoscopy, especially depth-based game design. Based on these results, we present YouDash3D, a game prototype that explores public stereoscopic gameplay in a reduced kiosk setup. It features live 3D HD video stream of a professional stereo camera rig rendered in a real-time game scene. We use the effect to place the stereoscopic effigies of players into the digital game. The game showcases how stereoscopic vision can provide for a novel depth-based game mechanic. Projected trigger zones and distributed clusters of the audience video allow for easy adaptation to larger audiences and 3D movie theater gaming.
Read Cities through their Lines. Methodology to characterize spatial graphs

Cities can be seen as the epitome of complex systems. They arise from a set of interactions and components so diverse that is almost impossible to describe them exhaustively. Amid this diversity, we chose an object which orchestrates the development and use of an urban area : the road network. Following the established work on space syntax, we represent road networks as graphs. From this symbolic representation we can build a geographical object called the way. The way is defined by local rules independently from the direction in which the network is read. This complex object, and several indicators leaned upon it, allows us to carry out deep analysis of spatial networks, independent from their borders. With this methodology, we demonstrate how different road graphs, from various places in the world, show similar properties. We show how such analysis, based on the topological and topographical properties of their road networks, allows us to trace back some aspects of the historical and geographical contexts of city formation. We define a model of temporal differentiation, where the structural changes through time in the network are highlighted. This methodology was thought to be generic so it can be used with several kinds of spatial networks, opening the panel of research applications and future work. Key words : Road network, Graph theory, Spatial analysis, Complex system, Urban modelling.
Toward a new IP over ATM routing paradigm

The explosive growth of the Internet has given IP routing new challenges. Innovative solutions have been proposed to solve the current router bottleneck by evolving to a tighter integration of IP and ATM, an approach called shortcut routing. This article categorizes the current IP over ATM shortcut proposals and identifies a number of issues. However, while IP and ATM routing and forwarding functions must be more closely integrated, a differentiation according to type of traffic seems advantageous; hence the need to evolve to an IP over ATM dual-mode routing model.
An investigation on the design of a transmission antenna and a rectenna with arrayed apertures for microwave power transmission

Wireless power transmission has been discussed for solar power satellites and ground locations, such as mountain sites and islands, where it is difficult to install power transmission lines. Power transmitting and receiving antennas must be designed so that the power is transmitted from the transmitting antenna to the receiving antenna efficiently and that dc power is obtained efficiently. This article shows that a space-use antenna 100 m in diameter comprising medium-size apertures can achieve a transmission efficiency of approximately 95% if the field on the aperture is Gaussian-tapered among the element apertures. Although grating lobes exist due to the discrete field distribution, they are so small that the power loss caused by the first grating lobes is 0.6%. Then it is shown that power receiving characteristics can be studied with the far field approximation if an ultralarge ground-based rectenna is composed of arrayed elements. In that case the rf–dc conversion efficiency becomes high when the element antennas are small at the center and large at the edge, so that the input power to each element antenna is large and at the same level. © 1999 Scripta Technica, Electron Comm Jpn Pt 1, 83(2): 1–9, 2000
The Study Of Design Problem In Design Thinking

The view of design as a kind of problem-solving activity has been an important base in the study of design cognition. Most of time, the researchers identify design problems as design briefs. But recently, some results of protocol analysis have implicated that design problems are not only about the briefs and need not exist at the beginning of design. This paper studied the roles of design problems in design thinking by protocol analysis. The results show that there are two kinds of problems which occur in the design process: one is related to the brief, and the other is about designer’s intention. The advanced study has been focused on the differences of the thinking mechanisms of these two kinds of problem.
Reducing power dissipation in FIR filters using the residue number system

The aim of this work is to reduce the power dissipated in high order finite impulse response (FIR) filters, while maintaining the delay unchanged. We compare in terms of performance, area, and power dissipation the implementation of a traditional FIR filter with a residue number system (RNS) based one. The resulting implementations, designed to work at the same clock rate, show that the RNS filter is smaller and consumes less power than the traditional one for a number of taps larger than eight.
Análise Crítica das Pesquisas Recentes sobre as Tecnologias de Objetos de Aprendizagem e Ambientes Virtuais de Aprendizagem

This paper presents the results of a survey about recent researches on learning environments, and learning objects technologies. The survey maps the scientific production on these technologies, which were published in the major events, and journals of the interdisciplinary area of Computers and Education in Brazil, and Latin America, during the years 2008 to 2011. Were included events like SBIE, WIE, LACLO, and TISE, as well as RBIE, and RENOTE journals. The mapping provided the basis for a critical analysis of the evolutionary process and the current status of this research. In quantitative terms, the analysis took into account the distribution of works in the technical, and pedagogical dimensions related to learning objects and learning environments technologies. The quantitative analysis was followed by a depth analysis, of qualitative nature, focused on the most representative works involving the combined use of both technologies.
Pathogenesis and Treatment of Secondary Hyperparathyroidism in Chronic Renal Disease

Secondary hyperparathyroidism (SHP) develops early in renal disease (1) and is almost invariable in end stage renal failure (2). Its treatment is an essential component of the overall management of the uremia, since excess parathyroid hormone (PTH) secretion, besides inducing destructive bone disease (3), also causes other biological and metabolic derangements (4-6). Early intervention, would be ideal, yet the most common problem facing the nephrologist is overt bone disease with extremely raised serum PTH levels. Handling this disease is therefore a task fraught with difficulties.
Impact de l’obésité et du diabète maternels sur la fonction placentaire

Located at the feto-maternal interface, the placenta is involved in exchange, endocrine and immune functions, which impact fetal development. In contact with the maternal environment, this organ is sensitive to metabolic disorders as over-nutrition, obesity or diabetes. The alteration of blood parameters associated with these pathologies affects placental histology, vascularization and nutrient transfers and, according to the types of troubles, induces local inflammation or hypoxia. These placental changes lead to disturbance of development and fetal growth, which increase the risk of pathologies in offspring in adulthood. The placenta thus appears as a crucial player in the fetal programming.
Decision Models for the Location of Community Corrections Centers

Community corrections centers (CCCs, or ‘halfway houses’) represent a community-based justice strategy intended to reintegrate offenders into civil society. Site selection for these facilities is complicated by negative perceptions of CCC impacts on the part of potential host communities. I solve the CCC-location problem through the use of a framework based on value-focused thinking and quantitative decision models. The first of two mathematical models for CCC location is a novel integer programming formulation that incorporates neighborhood characteristics and equity considerations; the second is a straightforward application of the analytic hierarchy process. These models are applied to a case study in the city of Pittsburgh, PA. In contrast to traditional dispersion models, the mathematical programming model identifies sites in high-amenity neighborhoods which are argued to be associated with beneficial CCC client outcomes. Also, I find that sites selected using multicriteria decision models are relatively easy to generate and are competitive with mathematical programming models in terms of objective function measures.
Current approaches to extending fuzzy logic to object-oriented modeling

The authors attempt a survey of current approaches carried out in the confluence of the two technologies: fuzzy set theory and object-oriented technology, that could provide a powerful tool for enhancing database management systems, software modeling, and knowledge representation in AI systems. Possible types of fuzziness are discussed and key features related to different kinds of fuzzy software systems are also pinpointed out. In a nutshell, fuzzy theory, as a modeling mechanism, is especially useful in tackling real world applications whose complexity demands are growing intensively.
Hybrid Algorithm for Privacy Preserving Association Rule Mining

Problem statement: The objective of the hybrid algorithm for privacy preserving data mining is to hide certain sensitive information so that they cannot be discovered through association rule mining techniques. Approach: The sensitive items whether in Left Hand Side (LHS) or Right Hand Side (RHS) of the rule cannot be inferred through association rule mining algorithms by combining the concept of Increase Support of Left Hand Side (ISL) and Decrease Support of Right Hand Side (DSR) algorithms i.e., by increasing and decreasing the support of the LHS and RHS item of the rule respectively. Results: The efficiency of the proposed approach is compared with alone Increase Support of Left Hand Side (ISL) approach for real databases on the basis of number of rules pruned. Conclusion: The hybrid approach of ISL and DSR algorithms prunes more number of sensitive rules with same number of database scans.
Statistical Analysis of the Skaion Network Security Dataset

Abstract : This thesis considers the best use of network traffic data to increase cyber security. This operational problem is one of great concern to network administrators and users generally. Our specific task was performed for the Network Security Division of the Army Research Laboratory, who requested we analyze a dataset of cyber-attacks masked in a background of representative network traffic (the Skaion dataset). We find that substantial preprocessing must done before statistical methods can be applied to raw network data, that no single predictor is sufficient, and that the most effective statistical analysis is logistic regression. Our approach is novel in that we consider not only single predictor events, but also combinations of reports from multiple tools. While we consider a number of different statistical techniques, we find that the most satisfactory model is based on logistic regression. Finally, we conclude that while the Skaion dataset is valuable in terms of its new approach to network traffic emulation, the 1999 KDD Cup and DARPA-MIT datasets-despite their many shortcomings-are more clearly organized and accessible to academic study. Cyber security is a globally important problem and datasets like Skaion's must maximize opportunities for cross-disciplinary academic endeavors.
Virtual-leader-follower structure and finite-time controller based cooperative control of multiple autonomous underwater vehicles

The formation control for large-scale multiple autonomous underwater vehicles is investigated. A formation control scheme to combinate leader-follower with virtual structure is introduced; AUVs with underwater communication rage constraints are divided into some clusters according to their relative postions in space, and leaders in all clusters can track their desired trajectories based on virtual structure; followers within all clusters follow the corresponding leader as their desired tracking trajectory. We realize the larege-scale formation control with the proposed formation scheme and the finite-time controller proposed in our previous work. Numerical simulation results show the effectiveness of the control strategy.