Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure Mining of Affiliation Runs in Evenly Disseminated Databases

We propose a convention for secure mining of affiliation runs in on a level plane appropriated databases. The current heading convention is that of Kantarcioglu and Clifton (8). Our convention, in the same way as theirs, is focused around the Quick Appropriated Mining (FDM) calculation of Cheung et al. (8), which is an unsecured appropriated form of the Apriori calculation. The principle elements in our convention are two novel secure multi- party calculations — one that registers the union of private subsets that each of the communicating players hold, and an alternate that tests the consideration of a component held by one player in a subset held by an alternate. Our convention offers improved security with deference to the convention in (8). Also, it is more straightforward and is fundamentally more effective as far as correspondence rounds, correspondence cost furthermore computational expense
Turbo equalization for non-binary coded modulation schemes over frequency selective fading channels

This paper presents a new method of equalizing and decoding multilevel coded modulation signals over frequency selective Rayleigh fading channels. A combined receiver using iterative (turbo) concept is proposed. Reliability information coming out of the soft-input soft-output (SISO) equalizer is used to get soft values at the output of the channel decoder. Specific extrinsic values out of the decoder are then fed back to the equalizer to be used as the a priori inputs. Through simulation, after only a small number of iterations (2-3), error performance of the combined receiver can be improved with good coding gains to compare with the case of separate equalizer and decoder for TCM and TTCM schemes.
Toward real-time estimation of regional moment tensors

Recent advances in broadband station coverage, continuous telemetry systems, moment-tensor procedures, and computer data-processing methods have given us the opportunity to automate the two regional moment-tensor methods employed at the UC Berkeley Seismographic Station for events in northern and central California. Preliminary solutions are available within minutes after an event has occurred and are subsequently human reviewed. We compare the solutions of the two methods to each other, as well as the automatic and revised solutions of each individual method. Efforts are being made to establish robust criteria for determining accurate solutions with human review and to fully automate the moment-tensor procedures into the already-existing automated earthquake-location system.
A framework for software maintenance metrics

The authors introduce a software maintenance process model that emphasizes impact analysis and forms a framework for software maintenance metrics support. Schedule, resource, and other constraints frequently subvert efforts to build and maintain a software product. using direct graphs, the authors suggest traditional process and product metrics, as well as new impact analysis metrics that address software work-product traceability and inter-work-product dependencies. Management can use these and other metrics to understand and control the maintenance process dynamically. As changes are requested, measurements can be made, impact assessed, and implementation decisions made. Moreover, the more the impact is understood, the better the change can be controlled; hence risks are minimized. <<ETX>>
Access to global market of Chinas private firms in manufacturing: A multiple cases study of cross-border M&A

The research examines the issue of cross-border merger and acquisition (M&A) by firms from China in developed countries: an important phenomenon that has recently found increasing emphasis in international business study. In analyzing Chinese acquisitions of foreign firms in the different industry, the paper addresses the question of why firms from emerging countries are willing to acquire companies from industrialized economies, and what capabilities to support them to bid successful in the global market. Using cases study evidence and interview data, the paper finds explanations for the decision to finish the M&A action to both of Chinese firms and overseas target firms. The results show that foreign firms can gain substantially from the global ambitions of the Chinese private firms for the advantages of their own business objectives. This is due to complementarities in the motivations for engaging in the deals, as well as the underlying international development needs of both firms. Most importantly, in the context of smaller-scale firms in emerging countries acquiring advanced economy firms, motivations on both sides of the acquisitions appear to go beyond the commonly known goals such as technology transfer and market access, as the acquisitions provide the firms involved with conditions favorable to expansion into previously inaccessible market segments in home or host countries.
Operating characteristics for the design and optimisation of classification systems

In statistical pattern recognition, problems involve distinguishing of various concepts or classes, based on the development of classifiers/discriminators. These exploit discriminatory information existing in measurements originating from objects. A trained classifier results in a partitioning in measurement space, providing some separation between the various classes. In the (typical) case of class overlap, this partitioning inherently results in a trade-off between the various possible classification errors that may occur. This partitioning can be modified to adjust these trade-offs. Given class abundances, a classifier can be evaluated at a given partitioning. However, variations in the abundances leads to an altered classifier performance. These fundamental aspects behind classifier design and evaluation can be studied within the framework of classifier operating characteristics, which is the topic of this dissertation. The contents consist of a number of published/accepted journal and conference papers, contextualised into a number of chapters representing various aspects of operating characteristic analysis. First the well-known two-class operating characteristic is considered, with two new analyses that are useful in certain circumstances. Next, the extension to the elusive multiclass case is considered, showing how standard 2-class operating characteristics analyses can be extended theoretically to the multiclass case. The challenge behind the multiclass extension is shown to be of a computational nature, with the calculation size increasing exponentially with the number of classes. The primary thesis contribution is then presented, consisting of a number of approaches and philosophies that can be used to overcome the computational challenges. Of primary importance is the finding that most practical problems are such that not all dimensions of the operating characteristic interact together significantly. Next it is shown how the operating characteristic approach can be used to design classifiers in ill-defined environments. In these problems some classes may be poorly represented, and the goal of the classifier design is to protect against these unforeseen conditions. Finally, it is shown that operating characteristics can be applied to a multi-stage classifier setup, allowing for a holistic design incorporating interactions between classes, and the classifier stages.
The management of ontologies in the VO Breeding Environments domain

The elements and aspects endogenous to Virtual Organisations Breeding Environments (VBEs) constitute a wide variety of entities, concepts and functionalities that are interrelated and together represent the structural, component, functional and behavioural perspectives of these environments. Nevertheless, VBE elements and aspects need to be modelled in a unified manner and their specification made accessible to both its human actors and its software subsystems that are involved either in supporting the management of the VBE itself or its daily operation, e.g., the creation of Virtual Organisations (VOs). This paper addresses the problem areas of the engineering and management of the VBE domain ontology as supported by the Ontology Discovery and Management System (ODMS), addresses the approaches for specification, construction, decomposition, adaptation/customisation and manipulation of the VBE ontology and introduces an extensive list of generic VBE elements by providing their textual descriptions. Furthermore, due to the complexity of endogenous VBE elements, the ODMS introduces the partitioning of the VBE ontology into a set of sub-ontologies. In addition to knowledge interoperability and reuse, the ODMS also supports the semi-automated discovery/analysis of new ontology elements from online text corpora, assisted by human experts within the VBE.
Results of the time series prediction competition at the Santa Fe Institute

From August 1991 onward, a set of time series was made generally available at the Santa Fe Institute. Several prediction tasks were specified and advertised. The submissions received before the deadline when the true continuations were revealed are analyzed. One result is that connectionist networks, trained with error backpropagation, outperformed the other methods on all series. Among the architectures that performed best was a time delay neural network (also called finite impulse response network) and a recurrent network, designed to capture the multiple time scales present in currency exchange rates. <<ETX>>
Path tracking algorithm for an autonomous ground robot

This paper presents a path tracking algorithm using proportional-integral-derivative (PID) controller. In this paper the tracking problem of an autonomous ground robot is considered. A new control strategy is proposed to determine the tracking algorithm can deal with very large tracking error or not. Besides that, autonomous ground robots maybe have an overshoot and deviation occurs when following the path as the path are made of linear segments which lead to abrupt change at waypoint. Therefore, tracking control algorithm need to be implement so that the robot will able to track the planned path smoothly. Simulation results show that the proposed path tracking algorithms are computationally efficient and the path tracking using PID controller are capable of tracking the path.
WordNet-based hybrid VSM for Document Classification

Many text classifications depend on statistical term measures or synsets to implement document representation. Such document representations ignore the lexical semantic contents or relations of terms, leading to losing the distilled mutual information. This work proposed a synthetic document representation method, WordNet-based hybrid VSM, to solve the problem. This method constructed a data structure of semantic-element information to characterize lexical semantic contents, and support disambiguation of word stems. As a template, lexical semantic vector consisting of lexical semantic contents was built in the lexical semantic space of corpus, and lexical semantic relations are marked on the vector. Then, it connects with special term vector to form the eigenvector in hybrid VSM. Applying algorithm NWKNN, on text corpus Reuter-21578 and its adjusted version, the experiments show that the eigenvector performs F1 measure better than document representations based on TF-IDF.
A prototype for data-driven visual attention

Mounting evidence suggests that attentional mechanisms may be required to successfully perform many vision tasks. The paper presents an attentional prototype for early visual processing. The model is composed of a processing hierarchy and an attention beam that traverses the hierarchy, passing through the regions of greatest interest and inhibiting the regions that are not relevant. The type of input to the prototype is not limited to visual stimuli. Aspects of attention such as localizing spatial regions of interest and ordering their importance are addressed; other aspects of attention such as the role of task guidance are encompassed by the model but are not detailed here. Simulations using high-resolution digitized images were conducted, with oriented edge information as the input to the model. The results confirm that this prototype is both robust and fast, and promises to be essential to any real-time vision system. <<ETX>>
Guide to Good Practice in using Open Source Compilers with the AGCC Lexical Analyzer

Quality software always demands a compromise between users' needs and hardware resources. To be faster means expensive devices like powerful processors and virtually unlimited amounts of RAM memory. Or you just need reengineering of the code in terms of adapting that piece of software to the client's hardware architecture. This is the purpose of optimizing code in order to get the utmost software performance from a program in certain given conditions. There are tools for designing and writing the code but the ultimate tool for optimizing remains the modest compiler, this often neglected software jewel the result of hundreds working hours by the best specialists in the world. Even though, only two compilers fulfill the needs of professional developers, a proprietary solution from a giant in the IT industry, and the Open source GNU compiler, for which we develop the AGCC lexical analyzer that helps producing even more efficient software applications. It relies on the most popular hacks and tricks used by professionals and discovered by the author who are proud to present them further below.
Learning navigation situations using roadmaps

The roadmap approach to robot path planning is one of the earliest methods. Since then, many different algorithms for building roadmaps have been proposed and widely implemented in mobile robots but their use has always been limited to planning in static, totally known environments. In this paper we combine the use of dynamic analogical representations of the environment with an efficient roadmap extraction method, to guide the robot navigation and to classify and learn the different navigation situation it encounters. The paper presents the general reference architecture for the robotic system and then focuses on the algorithms for the construction of the roadmap, the classification of the regions of space and their use in robot navigation. Experimental results are also discussed.
A Connectionist Approach to Propositional Phrase Attachment for Real World Texts

In this paper we describe a neural network-based approach to prepositional phrase attachment disam biguation for real world texts. Although the use of semantic classes in this task seems intuitively to be adequate, methods employed to date have not used them very effectively. Causes of their poor results are discussed. Our model, which uses only classes, scores appreciably better than the other class-based methods which have been tested on the Wall Street Journal corpus. To date, the best result obtained using only classes was a score of 79.1%; we obtained an accuracy score of 86.8%. This score is among the best reported in the literature using this corpus.
An inexpensive, high resolution scan camera

The use of digital imaging devices has been growing very fast and having amazing influence over the last decade. Being easier to integrate with other digital media, digital imaging is taking the place of analog imaging in more and more fields. Although the resolution and color quality of digital cameras have reached those of 35mm films, there are still a number of applications which require better quality, such as museum catalogs, professional digital photography and research in image based modeling and rendering. These applications all benefit from high resolution digital imaging. Our work extends digital photography in this particular direction. We present the design of a high-resolution scan camera using a flatbed scanner as the backend of a large format camera. The scan camera we built can take images with the resolution of up to 122 million pixels, while the camera itself can be built from off-the-shelf components for only 2,000 dollars. If we simply attach the two parts of the system together (the large format camera and the flatbed scanner) in their original setup, the system won't work properly because of mechanical and optical constraints. We dealt with these constraints by removing the light source and lenses from the scanner, and aligning the scanner with the imaging plane of the view camera. Due to the changed optics in the scanner, we can not directly use the commercial scanning software from the vendor. Instead, we get the raw image data from the scanner, then do denoising and calibration to acquire high quality images. A more advanced process is proposed to first detect artifact features, then remove them by image inpainting. Finally, some quantitative measurement of the light sensitivity and the optical resolution of the camera are obtained.
[The effect of early and delayed umbilical cord clamping on ferritin levels in term infants at six months of life: a randomized, controlled trial].

BACKGROUND Delayed umbilical cord clamping could increase iron stores and prevent iron deficiency in infants. To test this hypothesis we measured serum ferritin and hemoglobin levels at six months of age in term infants who had participated in a randomized controlled trial, assessing the effect of cord clamping timing on neonatal hematocrit values and clinical outcome. Main outcome measure. Serum ferritin level at six months of age. METHODS Out of the 276 mothers and their infants that participated in the initial study, 255 (92.4%) were followed up to six months and included in this study. Of these, 86 had their cords clamped within the first 15 seconds (early clamping), 83 at one minute, and 83 at three minutes. The pediatricians in charge of the evaluations during the follow-up period and personnel in charge of the biochemical tests were blinded to the assignment group. In all but 3 infants the ferritin levels and hemoglobin levels were measured at six months of age. RESULTS Mothers and infants in the three groups had similar baseline characteristics. Serum ferritin levels were significantly higher in the infants of the three minutes group than in the infants of the early group: 33.2 microg/L vs. 20.9 microg/L (geometric mean ratio: 1.6; 95% CI: 1.2 to 2.11) but no difference was observed in one minute group (25.5 microg/L) vs. early group. There were no significant differences in mean hemoglobin values, 10.6 g/dl (SD 1,1); 10.8 g/dl (SD 0.9) and 10.7 g/dl (SD 1.0) between groups early, one minute, and three minutes, respectively. Although there were no significant differences between groups, the prevalence of iron deficiency anemia (hemoglobin < 10.5 g/dl and ferritin < 9 microg/L) was 3 times more frequent in early clampling group (7.2%) than in three minutes group (2.4%) (RR: 0.30; IC 95%: 0.10-1.60). CONCLUSIONS Delayed umbilical cord clamping at three minutes significantly increases serum ferritin levels in infants at 6 months of age. No significant differences were found between groups in mean hemoglobin levels.
SVQL: A SQL Extended Query Language for Video Databases

With the rapid increasing of video data, video queries are becoming increasingly important. To better describe users’ video query requirements, developing a functional video query language has become a promising and interesting task. In this paper, we present a novel query language called SVQL for video databases, which is developed based on an extension of the traditional database query language SQL. In SVQL, we remain the clear and concise grammatical framework of SQL, thereby making SVQL easy to learn and use for traditional users, i.e., making SVQL with a user-friendly interface. Moreover, we extend the WHERE clause of SQL to introduce new conditional expressions, such as variable declaration, structure specification, feature specification and spatial-temporal specification, thereby, making SVQL with powerful expressiveness. In this paper, we first present the formal definitions of SVQL and illustrate its basic query capabilities using examples. Then, we discuss the SVQL query processing techniques. Finally, we evaluate SVQL through the comparison with other existing video query languages, and the evaluation results demonstrate the practicality and effectiveness of our proposed query language for video databases
The developing relationship between spoken and written syntax in an English secondary school

3 Acknowledgements . 4 Figures and Tables . 7 Introduction . 10 1.1 The Study of Student Language . 10 1.2 A Groundwork for the Thesis . 13 1.3 Statement of the Thesis . 17 Literature Review . 18 2.1 A Space for Syntax . 18 2.2 A Framework for Syntactic Development . 22 2.3 Spoken and Written Syntax . 34 2.4 The Developmental Relationship between Spoken and Written Syntax . 51 2.5 The Current State of the Art . 94 Methodology . 96 3.1 Statement of Intent . 96 3.2 Domain of Study . 96 3.3 Relevant Factors . 97 3.4 Architecture . 101 3.5 Brickwork . 104 3.6 Implementation . 132 3.7 Evaluation . 143 Primary Statistical Analysis . 152 4.1 Statistical Overview . 152 4.2 Clause-to-T-unit-Complex Factors . 153 4.3 Subordinate Clause Densities . 161 4.4 Subordinate Clause Proportions . 170 Discussion . 176 5.1 Initial Summary . 176 5.2 Analysis and Interpretation . 178 5.3 Final Summary . 281 Conclusion . 292 6.1 General Conclusions . 292
High speed pattern matching for a fast Huffman decoder

The fast Huffman decoding algorithm has been used in JPEG, MPEG and image data compression standards, etc. And code compression is a key element in high speed digital data transport. A major compression is performed by converting the fixed-length codes to variable-length codes through an entropy coding scheme. Huffman coding combined with run-length coding is shown to be a very efficient coding scheme. To speed up the process of search for a symbol in a Huffman tree and to reduce the memory size we have proposed a tree clustering and a pattern matching algorithm to avoid high sparsity of the tree. The method is shown to be very efficient in memory size and fast searching for the symbol. For an experimental video data with Huffman codes extended up to 16 bits in length, i.e. it is used for the standard JPEG, the result of experiments show that the proposed algorithm has a very high speed and performance. The design of the decoder is carried out using silicon-gate CMOS process. >
Nonlinearity of a data-acquisition system with interleaving/multiplexing

The study of differential nonlinearities (DNL) and integral nonlinearities (INL) of a high-speed data acquisition system using interleaving/multiplexing yields a theoretical expression for both errors, showing that they are smaller than the DNL and INL errors for each analog-to-digital converter (ADC) channel. Both experimental and computer-simulated data reveal very good agreement with the theoretical results. It is also shown that for this type of interleaved acquisition system, that has a time-dependent transfer characteristic, the effective number of bits cannot be evaluated via histogram testing.