Miracle-dz/UniFAR-FTUs huggingface dataset:
Selected Algorithms for Least Squares Computations: A Users Guide.

This report is intended to be a practical camputational.gtiide for persons ·. ·who must solve. linear least squares problems . A list of high-quality software, readily available to Sandia Laboratories personnel, is given. Six commonly occurring computational problems are illustrated by the inclusion of FORTRAN programs that utilize an appropriate FORTRAN subprogram.of this list. These problems are identified as Standard Usage (Section 2.), Sequential Accumulation (Section 5.), Normal Equations (Section 8 ~), Equality and · · Inequality Constraints. (Section 9.), Constrained· Curve Fitting by a Cubic ··Polynomial (Section 10.),. and Tll-Posed Problems (Section 11). · · Other· probleiri are.as· discussed a.re identified as Formulating Curve Fitting Problems (Section 3.), Problems with Many Columns. (Section 6.), and Banded Least Squares· Pro"blems (Section 7.)~ Printed in the United States of America Available from • . "·. National Technical Information Service U.S. Department of Commerce 5285 Port Royal Road Springfield, Virginia 22161 Price: $4.50 Microfiche $3.00 . -----NOTICE-----, This report was prepared as an account of work sponsored by the United States Government. Ntilh~r the United Statu nor the United States Depa:ruueul uf Energy, nor any of theU employees, nor ony of \heir contractors, subc:ontracton, or their employCes, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness or usefulness of any information, apparatus, product or process disclosed, or represents lhat Its ua:: wuuld not infringe privately owned rights. OlSTRIBUTION OF THIS . DOCUMENT IS UNL. ~M~
A Survey on Applied Cryptography in Secure Mobile Ad Hoc Networks and Wireless Sensor Networks

Many secure mobile ad hoc networks (MANETs) and wireless sensor networks (WSNs) use techniques of applied cryptography. Numerous security routing protocols and key management schemes have been designed based on public key infrastructure (PKI) and identity-based cryptography. Some of these security protocols are fully adapted to fit the limited power, storage
Comparison of Feature Extractors for Real-Time Object Detection on Android Smartphone

This paper presents the analysis of real-time object detection method for embedded system particularly the Android smartphone. As we all know, object detection algorithm is a complicated algorithm that consumes high performance hardware to execute the algorithm in real time. However due to the development of embedded hardware and object detection algorithm, current embedded device may be able to execute the object detection algorithm in real-time. In this study, we analyze the best object detection algorithm with respect to efficiency, quality and robustness of the algorithm. Several object detection algorithms have been compared such as Scale Invariant Feature Transform (SIFT), Speeded-Up Feature Transform (SuRF), Center Surrounded External (CenSurE), Good Features To Track (GFTT), Maximally-Stable External Region Extractor (MSER), Oriented Binary Robust Independent Elementary Features (ORB), and Features from Accelerated Segment Test (FAST) on the GalaxyS Android smartphone. The results show that FAST algorithm has the best combination of speed and object detection performance.
Integrating New Technologies to Promote Distance Learning

The development and emergence of new technologies in distance learning has opened a broad range of options for promoting learning. New technologies and the latest generation of Web-based tools have been increasingly adopted in distance learning. Integrating these technologies into education has a profound impact on all areas of learning, from course management to problem-solving instruction. The new technologies have provided a valuable addition to interactivity and interactions in the process of teaching and learning. In recent years, there has been a rapid increase in the use of the latest generation of Web-based tools (Web 2.0), such as wikis, blogs, and podcasts, in distance learning. The possibilities of wikis and blogs and other new Web tools are countless. Any topic that needs to be discussed openly, quickly, or in a collaborative manner can benefit from these tools. An extensive body of literature has accumulated over the past decade relating to the effectiveness, benefits, and changes caused by implementing distance-learning technologies. This article outlines the various technologies and Web-based tools, their implementation in distance learning, and the accumulated experience gained by the Open University of Israel in implementing them.
Specification for a shared conceptual layer in GIS

During the last decade, GIS have suffered of the lack of structured information and semantic definition of the data. The numerous origins of the data and the spatial localization of the object inferred many inconsistencies among them. Indeed, the way to collect data and the level of sampling of the boundary differ from one application to another and from one expert to another. This leads to different representations of the same reality and different models of semantically identical objects or boundaries. To allow the matching of the objects, or parts of the objects, when combining different information layers we introduced a conceptual layer which described a scene with concepts and spatial relationships based on the definition of an ontology. This layer allows detecting and solving conflicts between the common boundaries of two objects. We present in this paper the specification and the way to build and use the ontology.
Scalable Task Parallel Programming in the Partitioned Global Address Space

Applications that exhibit irregular, dynamic, and unbalanced parallelism are growing in number and importance in the computational science and engineering communities. These applications span many domains including computational chemistry, physics, biology, and data mining. In such applications, the units of computation are often irregular in size and the availability of work may be depend on the dynamic, often recursive, behavior of the program. Because of these properties, it is challenging for these programs to achieve high levels of performance and scalability on modern high performance clusters. A new family of programming models, called the Partitioned Global Address Space (PGAS) family, provides the programmer with a global view of shared data and allows for asynchronous, one-sided access to data regardless of where it is physically stored. In this model, the global address space is distributed across the memories of multiple nodes and, for any given node, is partitioned into local patches that have high affinity and low access cost and remote patches that have a high access cost due to communication. The PGAS data model relaxes conventional two-sided communication semantics and allows the programmer to access remote data without the cooperation of the remote processor. Thus, this model is attractive for supporting irregular and dynamic applications on distributed memory clusters. However, in
Engineered barriers for radioactive waste confinement

Nuclear power plants generate long-lived radioactive waste of high toxicity. The security assessment of repositories destined to definitive confinement of radioactive waste has been studied for several decades. Deep geological repositories are technically feasible and begin to be built by some pioneer countries. The scientific evaluation of interactions between the different engineered barriers is studied by laboratory experiments, natural analogues and modeling studies. The three methods are able to represent and validate the main geochemical processes that take place in the near field. This paper reviews the scientific and technical basis of the concept of geological disposal, with particular focus on the methods of study applied to the evaluation of geochemical stability of the bentonite barrier.
Design Management and Professional Practice

: The Apache web server is one of the most successful software products in history. The architecture of Apache has been a primary driver of this success. To understand what has made Apache thrive, and to learn from its success, we turn to lessons gleaned from physical architecture. Christopher Alexander distilled architectural quality into fifteen properties, the combination of which determines whether the architecture will exhibit wholeness, or life. Waguespack has applied Alexander’s theory to articulate fifteen corresponding properties of modeling and information systems that determine whether an information system will have sufficient functionality and strength to thrive. We first explain Apache’s success over time through the application of these properties. We then explore how organizations can emulate this success in their own information systems by managing the portfolio of properties. Linking information systems properties to desirable business outcomes to create a synergy between design goals and business requirements is critical to success. For a system to serve the needs of a business, its design and implementation should not only accommodate but facilitate change. We argue that facilitating change amplifies, not obviates, the need for great architecture. Applying the lessons from physical architecture to enable systems to thrive thus improves both system agility and business agility.
Feedback and Feed-Forward for Promoting Problem Based Learning

Purpose – The study aimed to (1) review the literature to construct conceptual models that could guide instructional designers in developing problem/project-based learning environments while applying effective feedback strategies, (2) use the models to design, develop, and implement an online graduate course, and (3) assess the efficiency of the models. Method – Quantitative and qualitative data were gathered during the implementation of an online graduate-level course that was designed and developed using the two proposed conceptual models. Eleven students were enrolled in the course. Multiple sources of data and analytical strategies were used to collect, analyze, and interpret the data. Findings
Electrical characterization and modeling of SiC IC test structures

Multiple enterprise system instances in organizations with multiple business units are quite costly to maintain and causes the lack of common business processes. To consolidate these systems into one or fewer instances has the benefits of reduce costs, centralize IT and standardize business processes. But a consolidated model may not be the best choice for every company. To help companies with this decision making process, we studied relevant papers and provided several consideration factors that companies should concern before conducting a system consolidation program. By analyzing their situation according to these factors, companies will get a clearer view on whether they should consolidate their enterprise systems or not. In this thesis a case study is conducted with Holmen Paper. Our study with Holmen Paper focused on the maintenance area of theirs three paper mills. By analyzing these paper mills’ situations based on three of our consideration factors, we made the conclusion that Holmen Paper should consolidate their systems in the maintenance area when they are ready.
Sparse Coding Model Based on Structural Similarity

Current existing sparse coding models employ the mean square of the error between the actual image and the reconstructed image to measure how well the code describes the image. Under the assumption that human visual perception is highly adapted for extracting structural information from a scene or a video, an alternative measure for information preservation assessment, based on the structural similarity, is introduced. After minimizing the cost function, the improved model attains a complete family of localized, oriented, and bandpass receptive fields, similar to those found in the primary visual cortex. The experimental results show that the improved sparse coding
Integration of defocus and focus analysis with stereo for 3D shape recovery

Image defocus analysis (IDA), image focus analysis (IFA), and stereo image analysis (SIA), are integrated for recovering the three-dimensional (3D) shape of objects. Integrating IDA, IFA, and SIA, has important advantages because IDA and IFA are less accurate than stereo but they do not suffer from the correspondence problem associated with stereo. Therefore, a rough 3D shape is first obtained using IDA and IFA without encountering the correspondence problem. The amount of computation and accuracy at this stage is optimized by using IDA first and then the IFA. Accuracy is further improved by projecting a high contrast pattern on to the object of interest. The rough shape thus obtained is used in a stereo matching algorithm to solve the correspondence problem efficiently. The amount of computation in matching is reduced since the search for correspondence is done in a narrow image region determined by the approximate shape. Also, the knowledge of approximate shape improves the matching accuracy by minimizing false matches due to occlusion. The method for integrating IDA, IFA, and SIA is presented in detail. The method has been implemented on a vision system named SVIS. Experimental results of the method are presented.
Large and Repeating Slow Slip Events in the Izu-Bonin Arc from Space Geodetic Data [an abstract of dissertation and a summary of dissertation review]

Title Large and Repeating Slow Slip Events in the Izu-Bonin Arc from Space Geodetic Data [an abstract of dissertation and a summary of dissertation review] Author(s) Arisa, Deasy Citation 北海道大学. 博士(理学) 甲第12427号 Issue Date 2016-09-26 Doc URL http://hdl.handle. net/2115/63260 Rights(URL) http://creativecommons.org/licenses/by-nc-sa/2.1/jp/ Type theses (doctoral abstract and summary of review) Additional Information There are other files related to this item in HUSCAP. Check the above URL. File Information Deasy_Arisa_abstract. pdf (論文内容の要旨)
SAR Imagery Compressing and Reconstruction Method Based on Compressed Sensing

In this paper,a new SAR imagery compressing and reconstruction method based on Compressed Sensing(CS) is proposed.The detailed step and flow chart of the method are shown based on CS theory and SAR imagery characters.In the method,the SAR imagery can be carved up to several sub-imageries firstly.What′s more,Discrete Wavelet Transform(DWT) can be utilized to make SAR imagery sparse.And then the random Gauss matrix after approximate Orthogonal-matrix and Right-matrix(QR) decomposition can be employed to complete the low-dimension measurement and the SAR imagery compressing for sparse results.In this paper,a modified Orthogonal Matching Pursuit(OMP) algorithm is proposed.On condition of the same reconstruction precision,the convergency speed is enhanced by using the proposed modified OMP algorithm compared with the original OMP algorithm.Furthermore,some processing such as inverse DWT and so on can be engaged to achieve the final reconstructed SAR imagery.Simulation results prove the effectiveness and feasibility of proposed SAR imagery compressing and reconstruction method.
CMMI Distilled : A Practical Introduction to Integrated Process Improvement

In this issue of news@sei, one of our articles, " Securing Information Assets " , refers to a newly published volume in the Addison-Wesley SEI Series in Software Engineering. The CERT® Guide to System and Network Security Practices, written by Julia Allen, a senior member of the SEI technical staff and published in June, presents more than 50 best practices that address all phases of securing systems and networks. It shows administrators how to protect systems and networks against malicious and inadvertent compromise based on security incidents reported to the CERT Coordination Center. For more information, see the book's Web page on the Addison-Wesley Web site The Addison-Wesley SEI Series in Software Engineering complements other means that we use to provide information to the software engineering community, such as the SEI Web site (It provides software engineering practitioners with current, in-depth information that supports their use of mature and continually improving software engineering practices. The works in the series, like all SEI technical work, are intended to improve the state of the practice of software engineering; that is, they are practitioner oriented, not theoretical. The CERT® Guide to System and Network Security Practices is one of seven new books that will be published in the SEI Series this year. Other planned releases for 2001 are Most books published in the SEI Series are based on SEI work, but we also publish some books that are based on non-SEI work that complements the SEI technical program and helps to extend the practice of software engineering. I want to express my gratitude and ii http://interactive.sei.cmu.edu news@sei interactive Second Quarter 2001 admiration for both SEI and non-SEI authors, who largely donate their own time and energy to writing the books in the SEI Series. For a list of all books currently in the SEI Series, see Other features in this issue include " The TIDE Program: Strengthening the Defense Manufacturing Base ". In this article, we look at the Technology Insertion, Demonstration, and Evaluation (TIDE) Program, which seeks to improve the profitability and efficiency of small defense and commercial manufacturers by helping them overcome the barriers to technology adoption. We also discuss the Software Engineering Information Repository (SEIR), a Web-based forum for software engineers in the field to exchange lessons learned, pose questions, and submit materials that might help others to adopt process improvement approaches. " Software Architecture Evaluation: A Key to System …
An Enhancement of Deep Face Technique Using Neural Network

Face recognition is an assignment that people perform routinely and easily in their everyday lives. The most recent decade has seen a pattern towards an inexorably universal nature, where compelling and minimal effort registering frameworks are, no doubt coordinated into cell telephones, autos, therapeutic instruments and very nearly every part of our lives. In the previous work, few researchers have focused on detection of face using some methodology. In this research paper, the face recognition system proposed the Detection time, false negative in missed faces and optimality of the face. This proposed research work has been focused on optimality features of the neural network for the face images and detection time. In this paper, we have applied the neural network for three parameters such – detection time, false acceptance rate, successful rates, no. of failure, and cross correlation. Our proposed parameters provide better result as compared to the previous methodology.
Aspect-based opinion mining of customer reviews

Online reviews are immensely valuable for customers to make informed decisions on product purchase, hotel booking, etc., and for businesses to improve the quality of their products and services. However, customer reviews grow very rapidly in quantity, while varying largely in quality. It is practically impossible for users to read through all the reviews for good decision-making. Opinion mining, also known as sentiment analysis, has been employed to automatically discover and summarize online reviews. In this thesis, we focus on the problem of aspect-based opinion mining of customer reviews. Our goal is to study and develop computational opinion mining techniques to support users to digest the huge amount of review data. In particular, we study three closely related problems as described below. The first problem deals with extracting aspect terms and opinion words that appear in customer reviews. We propose a generalized corpus statistics association based bootstrapping approach (ABOOT). ABOOT starts with a small list of annotated aspect seeds, and then iteratively extracts a large number of domain-specific aspect terms and opinion words from a given review corpus. ABOOT is able to work properly with only one seed, which can be simply domain word, e.g., “hotel” for hotel reviews. Our second problem focuses on identifying implicit aspects for the opinion words devoid of explicit aspects. Implicit aspects refer to the aspects that do not appear but are implied by opinion words in reviews. In opinion mining, very little work has been done on this problem. We propose a cooccurrence association rule mining method (coARM). coARM first discovers a significant set of association rules from a review corpus, and then it applies the rules to the opinion words devoid of explicit aspects for implicit aspect identification. The third part of this thesis deals with modeling customer reviews with aims at identifying semantic aspects and opinions as well as predicting overall review ratings in a
Processing and implementation of visual information for mobile robots

The video camera and its use for detection of obstacles in the way of a mobile robot were described in detail.With inverse perspective mapping obtained through inverse conversion following the perspective mapping principle of a video camera,the position of an obstacle in the world coordinate system was established by computing the position of an obstacle in an image plane.A control algorithm had been established to gain the depth imformation by using a single camera,which simplifies the robot's vision system. 