Miracle-dz/UniFAR-FTUs huggingface dataset:
PG-LDPCC Codes in Turbo Equalizer Systems - A Study on the Influence of Design Parameters of Terminated Convolutional Protographs

This paper deals with the study of parameter variations of protograph-based low-density parity-check convolutional codes (PG-LDPCCC) for a transmission system incorporating linear mapping and the turbo equalization approach. LDPCCCs in general raised a lot of attention recently due to their very good error correction performance. In this work the focus lies on codes derived from protographs due to the opportunity to use a tool called density evolution for the analysis. In order to produce convolutional variants two different parameters (syndrome former memory ms, termination length L) play an important role. Throughout this paper, the influence of these parameters is analyzed by means of EXIT-Charts and Monte-Carlo-Simulations and their influences on the unwrapped graph are discussed. Although both parameters have an impact on the shape of transfer curves, and therefore on the overall performance, the memory has a more dominant effect on the shape, especially at the start of the iterative process when a-prioi information is low. However in order to reduce the rate loss, which depends on both parameters, for a fixed permutation size and ms, the termination length L must be increased which in turn increases the code length.
Research on vehicle scheduling optimization in emergency material distribution based on improved genetic algorithm

This paper proposed an improved genetic algorithm for the emergency material dispatching problem( EMDP). It improved canonical genetic algorithm( GA) in two ways: improving crossover operator; improving crossover operator and introducing new chromosomes every iteration simultaneously. It built a mathematical model with the characteristic of multiple vehicle types,multiple kinds of materials,multiple depots and emergency locations,and the objective of the model was minimizing the scheduling completion time. Then it solved the model with canonical GA and improved GA respectively and compare the solutions. The comparison result shows that the improved GA improves premature convergence of canonical GA remarkably,and obtains a more accurate solution.
Efficient Pre-Bond Testing of TSV Defects Based on IEEE std. 1500 Wrapper Cells

The yield of 3D stacked IC manufacturing improves with the pre-bond integrity testing of through silicon vias (TSVs). In this paper, an efficient pre-bond test method is presented based on IEEE std. 1500, which can precisely diagnose any happening of TSV defects. The IEEE std. 1500 wrapper cells are augmented for the proposed method. The pre-bond TSV test can be performed by adjusting the driving strength of TSV drivers and the test clock frequency. The experimental results show the advantages of the proposed approach.
Content-based image analysis with applications to the multifunction printer imaging pipeline and image databases

Lu, Cheng PhD, Purdue University, May 2016. Content-Based Image Analysis with Applications to the Multifunction Printer Imaging Pipeline and Image Databases . Major Professor: Jan P. Allebach. Image understanding is one of the most important topics for various applications. Most of image understanding studies focus on content-based approach while some others also rely on meta data of images. Image understanding includes several sub-topics such as classification, segmentation, retrieval and automatic annotation etc., which are heavily studied recently. This thesis proposes several new methods and algorithms for image classification, retrieval and automatic tag generation. The proposed algorithms have been tested and verified in multiple platforms. For image classification, our proposed method can complete classification in real-time under hardware constraints of all-in-one printer and adaptively improve itself by online learning. Another image understanding engine includes both classification and image quality analysis is designed to solve the optimal compression problem of printing system. Our proposed image retrieval algorithm can be applied to either PC or mobile device to improve the hybrid learning experience. We also develop a new matrix factorization algorithm to better recover the image meta data (tag). The proposed algorithm outperforms other existing matrix factorization methods.
Associating users and devices using attention-correlated communication

Traditionally, a computer operating system supports its applications by providing several common services. The set of services typically includes mechanisms for storing user-specific customization information and for performing coordination between applications. But customization and coordination are typically not supported in embedded devices and appliances, because these systems have no way to appropriately identify the user. This dissertation investigates how embedded systems can support customization and coordination using a new approach, called user-device association, which is implemented by a new technique called attention-correlated communication. With user-device association, information about the user is automatically communicated to a device when that device is used. This information enables customization and coordination without performing identification, thereby better preserving users' privacy. This dissertation makes four contributions to user-device association. First, it presents the results of a survey of potential users. The results show broad interest in user-device association applications, and respondents' willingness to regularly wear the devices required for them. The second contribution is a model of system architectures that support user-device association applications. One architecture, Facile, is implemented and described in detail. The third contribution is an in-depth study of body-coupled communication, which uses imperceptible low-power electrical signals to send data through the human body. This study includes an implementation that set a new data throughput record when it was originally published (though it has since been superseded). The study also identifies design parameters that affect whether body-coupled communication is well-correlated with touch. The final contribution is an experiment measuring performance of three user-device association mechanisms on two applications. The experiment shows that for these two applications, users could complete tasks faster than they could manually. The post-experiment interviews also identify several design issues for user-device association systems. This work concludes that user-device association is viable, and that although many physical communications media are suitable, in the short-term RFID provides the best physical-layer communication mechanism.
Web Services: An Overview

Service-Oriented Computing (SOC) has emerged as an vital computing model and changed the way of designing, delivered and consuming of software. In SOC, services are used as fundamental elements to support fast, low-cost development of distributed applications in heterogeneous environments. Web services technology is the most capable choice to implement service oriented architecture and its strategic objectives, it can provide a flexible solution to the problem. With the help of WSDL, SOAP, and UDDI, Web services are becoming popular in Web applications In this paper, a survey on web services has been done. I. INTRODUCTION Web services technology is the most capable selection to implement service oriented architecture and its strategic objectives. A Web service is fundamentally a semantically well defined abstraction of a set of computational or physical activities which involving a number of resources, which are helpful for accomplish a business necessity or a customer requirement. A Web service is interacted through Internet based protocols and described, advertised and revealed using standard based languages and. Nowadays, two types of Web services are most popular and widely used is SOAP based Web services and RESTful Web services. With the technology of Web services, enterprises are able to represent their internal business processes as services and make them available via the Internet. Nowadays, many big companies have offered Web services to provide simple access to some of their resources, companies such as Google, Amazon, Twitter, and Facebook. A Web service is an interface that describes a collection of operations that are network accessible through standardized XML messaging. A Web service is described using a formal, standard XML notion, which are known as its service description. Service description covers all the details which are necessary to interact with the service, including message, location and transport protocols. The interface hide the implementation details of the service,that interface allowing it to be used independently of the software or hardware platform on which it is implemented and also independently of the programming language in which it is written. Atomic vs. composite Web services There are two types of web services, atomic and composite. We differentiate between atomic and composite Web services. An atomic service which is also called elementary service, is an access point to an application that does not depend on another Web service
Synthesis, characterization, and electropolymerization of thiophene derivatives of the Group IV elements

A series of thiophene derivatives of the group IV elements was prepared which includes the new compounds 3-(trimethylgermyl)thiophene, 3-germylthiophene, 3-(trimethylplumbul)thiophene, poly(2,5-(dimethylgermyl)thiophene), and poly(2,5-(dimethylstannyl)thiophene).
Systematic Review and Comparison of Classification Frameworks Describing the Degree of Food Processing

Background: Many available foods have been processed such that they differ from their original harvested state. There are several different classification frameworks used to distinguish between the levels of processing applied to a food but the comparability of the frameworks is unknown. Methods: We sought to identify all relevant food classification frameworks and determine the level of agreement between them. This was done by applying each framework to the 135 food categories described in the Euromonitor 2011 ‘Who Eats What’ report and comparing how each framework defined each food category. Results: We searched PubMed, ScienceDirect and Google Scholar databases, reviewed 185 abstracts and 25 full text reports. There were 6 eligible classification frameworks identified – FSANZ, IARC, IFPRI, NOVA, IFIC and an unnamed framework described by Poti. FSANZ simply dichotomised foods into unprocessed or processed while the remainder divided foods into three (IFPRI), four (IARC-EPIC), five (IFIC and NOVA) or seven (Poti) categories based upon the degree of processing. For the primary analysis of determining the agreement of unprocessed versus processed across classification frameworks, there were 810 comparator points between the 6 frameworks, for which 651matched (81%). The highest level of agreement was between IFPRI and IARC (134/135, 99%) and the lowest level of agreement was between FSANZ and NOVA (92/135, 68%). The NOVA framework stood out as having between 68 and 81% agreement with the other 5 frameworks while agreement was between 89 and 99% if NOVA was excluded. Interpretation: Most frameworks made similar basic classifications of food categories as processed or unprocessed. Systems with more levels of classification may prove more useful for tracking changes in the food supply and in defining associations of food processing with health concerns.
Analytical Solutions Of Minimum Ionization Particle Induced Current Shapes Of Silicon Detectors And Simulation Of Charge Collection Properties

A new analytical, one dimensional method to obtain the induced current shapes and simulation of chasrge shapes for p{sup +} {minus}n{minus}n{sup +} silicon detectors in the case of minimum ionization particle has been developed here. jExact solutions have been found for both electron and hole current shapes. Simulations of induced charge shapes of detectors have also been given. The results of this work are consistent with the earlier work where a semi-analytical method had been used.
TEACHING THE VOCABULARY OF LEGAL DOCUMENTS: A CORPUS-DRIVEN APPROACH

The globalization of business activity has been accompanied by an unprecedented need for lawyers to communicate internationally. One major aspect of their work centres on legal documents: lawyers have to draft and understand contracts and other essential documents, which are not only syntactically complex, but also contain highly technical vocabulary which may prove extremely challenging for non-native speakers. Even though non-native lawyers generally find the principles and concepts comprehensible, the lexis itself remains a considerable problem, unless specialized help is provided in the form of specific legal English instruction. This article describes a systematic approach to identifying the essential vocabulary of legal documents in English using WordSmith to find the most frequent words and word clusters (collocations and set phrases) in a 400,000 word corpus of authentic legal documents (DOCLEGAL), and then identify common verbs and prepositional phrases. The vocabulary of ten sub-corpora consisting of different document genres is then contrasted with that of the whole corpus, in order to identify keywords, keyword links and common clusters for these specific genres. The information from the corpus is then used to create exercises which help to familiarize students with these specialized words and expressions.
Novelty detection with extreme value theory in vital-sign monitoring

Every year in the UK, tens of thousands of hospital patients suffer adverse events, such as unplanned transfers to Intensive Therapy Units or unexpected cardiac arrests. Studies have shown that in a large majority of cases, significant physiological abnormalities can be observed within the 24-hour period preceding such events. Such warning signs may go unnoticed, if they occur between observations by the nursing staff, or are simply not identified as such. Timely detection of these warning signs and appropriate escalation schemes have been shown to improve both patient outcomes and the use of hospital resources, most notably by reducing patients’ length of stay. Automated real-time early-warning systems appear to be cost-efficient answers to the need for continuous vital-sign monitoring. Traditionally, a limitation of such systems has been their sensitivity to noisy and artefactual measurements, resulting in false-alert rates that made them unusable in practice, or earned them the mistrust of clinical staff. Tarassenko et al. (2005) and Hann (2008) proposed a novelty detection approach to the problem of continuous vitalsign monitoring, which, in a clinical trial, was shown to yield clinically acceptable false alert rates. In this approach, an observation is compared to a data fusion model, and its “normality” assessed by comparing a chosen statistic to a pre-set threshold. The method, while informed by large amounts of training data, has a number of heuristic aspects. This thesis proposes a principled approach to multivariate novelty detection in stochastic timeseries, where novelty scores have a probabilistic interpretation, and are explicitly linked to the starting assumptions made. Our approach stems from the observation that novelty detection using complex multivariate, multimodal generative models is generally an ill-defined problem when attempted in the data space. In situations where “novel” is equivalent to “improbable with respect to a probability distribution ”, formulating the problem in a univariate probability space allows us to use classical results of univariate statistical theory. Specifically, we propose a multivariate extension to extreme value theory and, more generally, order statistics, suitable for performing novelty detection in time-series generated from a multivariate, possibly multimodal model. All the methods introduced in this thesis are applied to a vital-sign monitoring problem and compared to the existing method of choice. We show that it is possible to outperform the existing method while retaining a probabilistic interpretation. In addition to their application to novelty detection for vital-sign monitoring, contributions in this thesis to existing extreme value theory and order statistics are also valid in the broader context of data-modelling, and may be useful for analysing data from other complex systems.
Recursive Methods for Forecasting Short-term Traffic Flow Using Seasonal ARIMA Time Series Model.

SHEKHAR, SHASHANK. Recursive Methods for Forecasting Short-term Traffic Flow Using Seasonal ARIMA Time Series Model. (Under the direction of Dr. Billy M. Williams.) Many Intelligent Transportation System (ITS) applications under the umbrella of Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Services (ATIS) call for the ability to anticipate future traffic conditions. Short-term traffic forecasting models play a central role in such applications. Previous research has shown that a three parameter SARIMA time series model is well suited for forecasting short-term freeway traffic flow. However, past application has been in a static form where the model has to be fitted separately for each location. This research implements the seasonal ARIMA model in a time-varying format imparting plug and play capability to the model. The properties of the SARIMA model for short-term traffic flow forecasting are discussed. Model sensitivity to the parameters is shown. Three different methods (Kalman filter, recursive least squares filter and least mean square filter) have been investigated for making the model adaptive. The stability and robustness of the SARIMA model has been demonstrated. Results show that all the three adaptive filters can be successfully used to make the model adaptive. The use of Kalman filter for practical implementation is recommended. Recommendations for further research in this regard are also presented. RECURSIVE METHODS FOR FORECASTING SHORT-TERM TRAFFIC FLOW USING SEASONAL ARIMA TIME SERIES MODEL by SHASHANK SHEKHAR A thesis submitted to the Graduate Faculty of North Carolina State University in partial fulfillment of the requirements for the Degree of Master of Science Civil, Construction and Environmental Engineering Raleigh, NC 2004
The Synthesis of Optically Pure β-Cyclopiazonic Acid, an Indolic Fungal Metabolite

The chiral synthesis of the fungal metabolite β- cyclopiazonic acid is described. The key step involves the use of the tricarbonylchromium complex of an N-protected L- tryptophan methyl ester as a substrate for the addition/oxidation method of substitution of its indole ring system.
Utilize speech and gestures to realize natural interaction in a virtual environment

Virtual environments are a new means for human-computer interaction. Whereas techniques for visual presentation have reached a high level of maturity, many of the input devices and interaction techniques still tend to be awkward for this new media. Where the borders between real and artificial environments vanish, a more natural way of interaction is desirable. To this end, we investigate the benefits of integrated speech- and gesture-based interfaces for interacting with virtual environments. Our research results are applied within a virtual construction scenario, where 3D visualized mechanical objects can be spatially rearranged and assembled using speech- and gesture-based communication.
ag ogo : Automatic Generation of Ontology APIs

When developing application programming inter- faces of ontologies that include many instances of ontology design patterns, developers of semantic web applications usually have to handle complex mappings between descriptions of information given by ontologies and object oriented representations of the same information. In current approaches, annotations on API source code handle these mappings, leading to problems with reuse and maintenance. We propose a domain-specific language to tackle these mappings in a platform independent way - agogo. Agogo provides improvements on software engineering quality attributes like usability, reusability, maintainability, and portability.
Predict algorithm of micro-blog retweet scale based on SVM

Based on the analysis of the factors that affect retweet behavior,this paper proposed a predict SVM algorithm with five features:user influence,user activity,interest similarity,the importance of micro-blog content and users closeness.Furthermore,it proposed the predict algorithm of retweet scale on the basis of SVM,also,gave a method to evaluate the predict accuracy.The experiment with Sina micro-blog data shows a good result that the predict accuracy is up to 86.63%.
Period doubling route to chaos in Taylor-Green dynamo

We perform spectral simulations of dynamo for magnetic Prandtl number of one with Taylor-Green forcing. We observe dynamo transition through a supercritical pitchfork bifurcation. Beyond the transition, the numerical simulations reveal complex dynamo states with windows of constant, periodic, quasiperiodic, and chaotic magnetic field configurations. For some forcing amplitudes, multiple attractors were obtained for different initial conditions. We show that one of the chaotic windows follows the period-doubling route to chaos.
Formation control of multiple UUVs based on virtual leader

This paper addresses the problem of coordinated trajectory tracking control of multiple UUVs. In the proposed scheme, the leader-follower formation strategy which has a virtual global leader is adopted, and the formation task is achieved when the follower converges to the reference trajectory which generated by the position of the leader and the predefined formation. Then, a virtual guidance vehicle whose trajectory will approach to the reference trajectory is constructed to eliminate the requirement of the measurements of the leader's velocity and dynamics. Subsequently, by incorporating the Lyapunov direct design technique into the integral nonlinear sliding mode control, the trajectory tracking controller is designed for the follower to track the virtual vehicle. In addition, besides detailed controller design processes and rigorous theoretical analysis, numerical simulation results are also exhibited to demonstrate the effectiveness and advantages of the proposed control scheme.
Algorithms for curved schematization

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