Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal input design for online parameter estimation for aircraft with multiple control surfaces

An optimal input design method is proposed for online parameter estimation for aircraft with multiple control surfaces. The optimal input is designed considering the input and output constraints. These constraints are constructed based on a military standard, MIL-STD-8785C, viz., the flying qualities of a piloted aircraft. The accuracy of parameter estimation using the optimal input is compared with that of parameter estimation using conventional doublet/3211 inputs. Two online parameter estimation schemes are also considered to evaluate the performance of the designed optimal input: a Bayesian method based on the time domain and an equation-error method based on the frequency domain. The recursive form of the Bayesian method is also derived. Numerical simulations are performed, and the performance, convergence, and accuracy of two online parameter estimation schemes are compared.
Confidence intervals for neural network based short-term load forecasting

Using traditional statistical models, like ARMA and multilinear regression, confidence intervals can be computed for the short-term electric load forecasting, assuming that the forecast errors are independent and Gaussian distributed. In this paper, the 1 to 24 steps ahead load forecasts are obtained through multilayer perceptrons trained by the backpropagation algorithm. Three techniques for the computation of confidence intervals for this neural network based short-term load forecasting are presented: (1) error output; (2) resampling; and (3) multilinear regression adapted to neural networks. A comparison of the three techniques is performed through simulations of online forecasting.
Receiver operating characteristic laboratory (ROCLAB): Software for developing decision strategies that account for uncertainty

Receiver operating characteristic (ROC) methodology evaluates how well a decision strategy classifies retrospective dichotomous or fuzzy events. It also provides a rational basis for designing decision strategies for classifying prospective events. ROCLAB is a public domain software package written in Microsoft QuickBASIC for PC microprocessors that computes ROC functions and their useful derived features for discrete and fuzzy class membership data. Decision strategies that account for uncertainties related to prevalence, false classification costs, and fuzzy class membership are easily constructed with ROCLAB. ROC methodology is explained and ROCLAB features are demonstrated with examples from clinical medicine. <<ETX>>
A predictive model of sequential iteration in engineering design

This paper presents a model describing sequential iteration, one of the fundamental solution processes experienced in complex engineering design projects. The model is based upon the design structure matrix representation and assumes that each individual design activity is of deterministic duration with probabilistic repetition, where the repeat probabilities are defined by the strength of the task coupling. Using the model, we are able to compute the expected duration of the iterative solution process, and to suggest an initial ordering of the coupled design tasks to minimize the expected duration. We conclude the paper with a discussion of limitations and several extensions to the sequential iteration model.
Implementation of Real time based Multi-object recognition algorithm

This thesis propose a improved matching method for implementing an ORB algorithm based multi-object recognition. SURF algorithm that is well known in the object recognition algorithms is robust in object recognition. However, there is a disadvantage for real time operation because, SURF implemention requires a lot of computation. Therefore we propose a modified ORB algorithm which shows the result of almost 70% speed improvement by improving matching part to recognize multi object on real time.
Chemotherapy in a Patient with Metastatic Duodenal Cancer and Idiopathic Thrombocytopenic Purpura: A Case Report and Review of Literature

Metastatic duodenal adenocarcinoma is a rare disease, and it’s coexistence with idiopathic thrombocytopenic purpura is still very rare. Here we report first case of metastatic duodenal adenocarcinoma with coexistent ITP treated with palliative chemotherapy protocols. We initially managed ITP, after which having had a safe platelet count (above 75000/uL.), we safely administered chemotherapy protocols like FOLFOX4, FOLFIRI, XELIRI / CapeIRI. Management of idiopathic thrombocytopenic purpura was done initially by treating with steroids, and afterwards by administering intravenous immunoglobulins after which platelet count increased up to 182,000/uL. The PFS for first line chemotherapy-protocol FOLFOX4 was approximately 9 months. Presently undergoing second line palliative chemotherapy-protocol FOLFIRI/XELIRI until publishing of this manuscript. PFS for second line palliative chemotherapy and OS still not achieved.
A new idea on feature selection and its application to the underwater object recognition

Due to the high quality images provided by modern synthetic aperture sonar systems, automatic target recognition attracts increasing attention. In order to describe the mine-like-objects in sonar images, numerous features are available in the literature to support classification process. This paper introduces a new idea for the feature selection. Since an individual relevance measure considers the classification information only in a certain aspect, the feature relevance should rely on a combination of several relevance measures instead of any single measure. Both linear and nonlinear combinations of the three chosen measures are studied. New feature relevance measures are accordingly proposed and compared. A sequential forward searching scheme is used for maximizing the proposed feature relevance measures. The induced approach is called maximum-composite-relevance-measure-using-sequential-forward-searching-scheme (mCRM-SFSS). Compared to those approaches in the literature, like MIFS, MIFS-U and mRMR, mCR.
Pertussis

Pertussis continues to be an important public-health issue. The high immunization coverage rates achieved, mainly in industrialized countries, have certainly decreased the spread of the pathogen. However, as immunity wanes, adolescents and adults play an important role in the dynamics of the infection. The surveillance system has several limitations and the underestimation of pertussis in adolescents, young adults and adults is mainly related to the atypical clinical characteristics of cases and the lack of lab confirmation. The real epidemiological impact of pertussis is not always perceived. The unavailability of comprehensive data should not hamper the adoption of active prophylactic measures designed to avoid the impact of waning immunity against pertussis. Different immunization strategies have been suggested and/or already adopted such as immunization of newborns, pre-school and school children, adolescents, adults, healthcare workers, childcare workers, pregnant women, cocoon strategy. Prevention of pertussis requires an integrated approach and the adoption of different immunization strategies, with the objective of achieving and maintaining high coverage rates.
Localism Versus Globalism in Morphology and Phonology

In Localism versus Globalism in Morphology and Phonology, David Embick offers the first detailed examination of morphology and phonology from a phase-cyclic point of view (that is, one that takes into account recent developments in Distributed Morphology and the Minimalist program) and the only recent detailed treatment of allomorphy, a phenomenon that is central to understanding how the grammar of human language works. In addition to making new theoretical proposals about morphology and phonology in terms of a cyclic theory, Embick addresses a schism in the field between phonological theories such as Optimality Theory and other (mostly syntactic) theories such as those associated with the Minimalist program. He presents sustained empirical arguments that the Localist view of grammar associated with the Minimalist program (and Distributed Morphology in particular) is correct, and that the Globalism espoused by many forms of Optimality Theory is incorrect. In the "derivational versus nonderivational" debate in linguistic theory, Embick's arguments come down squarely on the derivational side. Determining how to make empirical comparisons between such large positions, and the different frameworks that embody them, is at the heart of the book. Embick argues that patterns of allomorphy implicate general questions about locality and specific questions about the manner in which (morpho)syntax relates to (morpho)phonology. Allomorphy thus provides a crucial test case for comparing Localist and Globalist approaches to grammar.
Citation Analysis of Doctoral Works Submitted to the Department of Animal Science, University of Ibadan, Nigeria

Citations in master’s degree dissertations submitted to the Department of Animal Science, University of Ibadan, Nigeria during the period 2000-2007 were analysed for finding possible relationships between citing, cited articles and authors. Frequency and percentage distributions (presented in charts, tables, and graphs) and measures of central tendency were used to analyse data. Findings showed that journals were the most utilized reference materials in the dissertations. Also, poultry nutrition works had the highest number of dissertations followed by agricultural biochemistry and nutrition. The lowest number of dissertations was from forage production and management and monogastric nutrition with just two dissertations each. The findings from this study could serve as a user study with implications for both collection development and user services design in libraries. Future studies could focus on ascertaining the implications of collection of reference materials to project and article referencing, instruction in classes and outreach.
System-based intelligent control applied to electronic test generation and diagnostics using fuzzyART and genetic algorithms

This paper summarizes the work that was done to explore the use a system based approach to generate test vectors for electronic systems. The process that was developed takes advantage of an unsupervised neural network algorithm Adaptive Resonance Theory (ART) and a Genetic Algorithm (GA) that is combined to form an optimal control system. The GA generates a population of test patterns (individuals). Each individual is provided as timed inputs to a set of behavior based simulations representing good and faulty circuits. The response of each model is recombined in the form of an image matrix with each row representing a signature of each of the different circuits. FuzzyART provides a method of image recognition, extracting those images that are distinctly different from any other. Each individual generated by the GA is evaluated and a fitness is provided by FuzzyART by the number of neuron clusters formed. New test sequences evolve with increasing fault isolation and detection. The process is repeated until a maximum number of models have been identified and separated. A selective breading algorithm was included to reduce the need for large populations, thus increasing the speed to converge to the `best test. '
Alteration of baroreflex sensitivity early after cardiac surgery

Impairment of the baroreceptor reflex activity reflects an alteration of the autonomous regulation of the cardiovascular system and has been proven to predict a fatal outcome in patients after acute myocardial infarction. The following pilot study was performed to analyse the baroreceptor sensitivity in patients early after coronary surgery. 18 male patients (mean age 66.5/spl plusmn/14.2 years) with coronary heart disease were examined in a prospective study following aortocoronary bypass surgery; normal values were obtained from healthy volunteers. The strength of baroreflex sensitivity (increases of blood pressure causing a synchronous decrease of heart rate) is low 2 hours postoperatively (3,9/spl plusmn/1,9 ms/mmHg; normal value:8). The BRS significantly increases during the period of mechanical ventilation (after 4 hours: 8,4/spl plusmn/3,7 ms/mmHg, p<0,05; after 6 hours: 8,4/spl plusmn/3,0 ms/mmHg, p<0,05 as compared to the initial value). The apparently stabilized vagal regulation is suppressed again after extubation (2,5/spl plusmn/1,8 ms/mmHg). The number of delayed tachycardic changes of heart rate in response to pressure decreases, which are caused by sympathetic activation, is only moderately reduced as compared to values obtained from normal healthy volunteers. Obviously, there is a vagal suppression 20 h after surgery, while the sympathetic tonus works in a normal range. This unbalanced interaction of the autonomous systems could be a reason for the high incidence of atrial tachycardias in the early period after cardiac surgery.
Computer security factors effects towards online usage of internet banking system

Given an apparent lack of coherence and a paucity of computer system field of studies, research imitates and demonstrates non consensus in how computer security fits into the satisfaction, success, usage, efficiency, and effectiveness of computer system field. This study is a part of research aims to extend the Technology to Performance Chain model by including and examining the Computer Security Self-Efficacy construct, as recommend by several computer system field researchers. This paper used the statistical technique structural equation modeling and the partial least squares regression for estimating causal relations between computer security self-efficacy and internet banking usage. Outcomes confirm that confidentiality and availability effects computer security self-efficacy while in turn computer security self-efficacy impacts on usage. Computer security self-efficacy also partially mediates the impact of confidentiality, integrity, and availability on usage.
Kinderen en jongeren met somatisch onvoldoende verklaarde lichamelijke klachten in een GGzinstelling

BACKGROUND Medically unexplained symptoms (MUS) occur frequently in children and adolescents. Treatment of MUS in children and adolescents takes place mainly in mental health care (MHC) institutions, as does the treatment of adults with MUS. However, there is hardly any literature about the prevalence of MUS in children and adolescents in MHC. AIM To study the prevalence of MUS in children and adolescents in Dutch MHC. METHOD Comparisons were drawn between children and adolescents with MUS and those without MUS who had been referred to a Dutch MHC institution. RESULTS Children and adolescents with MUS had more anxiety and depression and more introvert personality characteristics than children and adolescents without MUS. However, the quality of life of children and adolescents with MUS was similar to that of children and adolescents without MUS. CONCLUSION One in five children and adolescents in Dutch MHC had MUS. These children and adolescents had introverted personality characteristics and showed anxious and depressed behavior, withdrawn-depressed behavior, and thought problems. The quality of life of children and adolescents with MUS and those without MUS was below average.
A systematic classification of neural-network-based control

The rich variety of control schemes involving neural networks, works which are proposed in the literature, is organised into a consistent perspective that isolate the various distinct features of each scheme and classifies them in a multi-level structure. The presented structure affords coherent and unambiguous analysis of past and new control schemes, reveals relevant links and gaps as by-products, and serves to better focus future research. <<ETX>>
2D/3D 변환을 위한 깊이정보 생성기법에 관한 연구

본 논문은 2D/3D 변환을 위한 객체 추출과 깊이정보(Depth-map) 생성기법에 관한 연구이다. 2D영상을 3D로 변환하기 위해서는 영상 객체 추출, 영상 거리 인식, 영상 생성, 재보정 단계를 거치게 되는데 본 논문에서는 영상 객체 추출과 영상 거리 인식에 해당하는 깊이정보를 생성하는 방법을 제안한다. 3D 영상으로의 변환은 2D 영상에서의 객체 추출과, 추출된 객체와 주변 배경을 구별하기 위한 거리감을 할당하는 깊이정보 생성이 중요하다. 보다 정확한 객체 추출과 깊이정보를 생성하기 위해 기존의 Optical flow에서 잡음을 제거한 방법을 제안하였다. 제안한 방법으로 2D 영상을 깊이정보가 포함된 영상으로 변환하여 영상의 깊이 정보가 추정됨을 알 수 있다. 【This paper discusses a 2D/3D conversion of images using technologies like object extraction and depth-map creation. The general procedure for converting 2D images into a 3D image is extracting objects from 2D image, recognizing the distance of each points, generating the 3D image and correcting the image to generate with less noise. This paper proposes modified new methods creating a depth-map from 2D image and recognizing the distance of objects in it. Depth-map information which determines the distance of objects is the key data creating a 3D image from 2D images. To get more accurate depth-map data, noise filtering is applied to the optical flow. With the proposed method, better depth-map information is calculated and better 3D image is constructed. 】
Internet users’ attitudes toward business-to-consumer online shopping

Rapid growth of online shopping activities in recent years has required careful identifications of key factors influencing consumers’ behaviors and attitudes toward online shopping. Identifying critical factors influencing online consumer behavior is very crucial for effective customer relationship management. It is very important that online sellers clearly understand critical factors influencing online customers’ shopping intention and take necessary actions accordingly. If identified and managed properly, those critical factors can provide competitive advantage to online sellers and also increase consumers’ satisfaction level and experiences with sellers’ website. This research investigated the attitudes toward online shopping of university students in Ankara, Turkey. Internet users’ interest, evaluation, trust, intention and concerns toward online shopping were assessed by conducting survey type research. Internet users’ concerns toward online shopping were assessed by considering financial issues, product quality issues, refund issues, product delivery issues, security issues and privacy issues. Findings of this study guide online retailers which factors to focus on in order to develop successful marketing strategies for online consumers.
WSAP: provide loss rate differentiation with active queue management

How to provide service differentiation on the Internet is a hot research topic. One proposal is to provide loss rate differentiation by assigning levels of drop precedence to IP packets. In this paper, we propose a new AQM mechanism, weighted SAP (WSAP) to achieve this goal. WSAP is based on a new AQM algorithm simple adaptive proportional (SAP). WSAP can approximate proportional loss rate differentiation, while keeping high link utilization and short queuing delay. Compared with WRED and RIO, WSAP is easier to configure and can provide better performance. Furthermore, an architecture for differentiated service is proposed in this paper. In the design of this architecture, we pay more attention to the characteristics of network traffic in the Internet and try to preserve the Internet's original design principles.
Decision making using neural networks: an application to cross-cultural management

Clustering various countries according to their relative similarity in terms of relevant organizational variables is a very useful management tool for multinational enterprises(MNEs). The effects of the nature of population and type of "similarity" variables on the cluster compositions are generally well understood. However, the differences on cluster compositions arising from the underlying differences of various techniques have not been well investigated. This paper is the first empirical study using neural networks (specifically Kohonen's SOFM) as a tool to identify country clusters based on managers' perceptions of various management and human resource development(HRD) practices in a large MNE. A method of obtaining near-optimum number of country clusters is described. The clusters developed by the SOFM network are also compared with those obtained using a popular clustering technique such as Q-factor analysis.
Effect of fixture design variables on fixture-workpiece conformability and static stability

A parametric study of the effect of fixture design variables on fixture-workpiece conformability and static stability is presented. Conformability is defined as the geometric similarity between the workpiece surface and the smallest polyhedron fit over all contacts. Two conformability metrics are introduced to account for global and local conformability. The design variables of interest are: the number and position of fixture elements, fixture element length, clamping intensity, fixture element orientation, static coefficient of friction, fixture element tip radius and the direction of the fixture principal stiffnesses. Both force-controlled and displacement-controlled fixtures are considered The static stability was found to increase with the static coefficient of friction and with the fixture element tip radius. Clamping intensity and the principal stiffness directions were found to have opposing effects on the stability of force-controlled and displacement-controlled fixtures.
Decomposition of EMG signals using time-frequency features

The decomposition of intramuscular myoelectric (EMG) signals can be considered as a classification problem. The main effects which decrease the classification performance are Motor Unit Action Potential (MUAP) shimmer and overlapping MUAPs. In this paper we show how time-frequency information can be extracted to reduce MUAP shimmer and propose a criterion to detect overlapping MUAPs. Because of the information extraction and detection of compound MUAPs, the classification problem can be reduced to a detection problem of highly isolated cluster points. Tests with EMG recordings yield very good results.
Rigidity analysis from range image data for automatic inspection of filter components

Recent developments in computer vision and pattern recognition have enabled the development of sophisticated vision-based quality control systems for automatic inspection. We present a new geometrical analysis of rigid body transformation parameters from properties of reflected correspondence vectors. Based on this analysis, we propose a novel algorithm to calibrate transformation parameters of 3D objects in a fast production line of filter components. The algorithm performs a rigidity analysis from range images acquired from two cameras, making full use of distance and angle information providing a closed form solution to all parameters of interest. The method is used in conjunction with a decision support system where components falling outside specified thresholds are to be rejected. For a comparative study of algorithm performance, we also implemented a well known procedure for rigidity analysis based on quaternions. Experimental results demonstrate that our novel algorithm has a number of advantages over the quaternion method and that its performance is superior or similar to the quaternion method.
A Parallel Connection-Simulation Paradigm of Intelligent Robot - Based on Integrated Control of Language, Music and Motion Rhythm by Human Brain

In light of the integrated control of language, music and motion rhythm by human brain, the paper proposes a preliminary scheme to overcome a long-standing obstacle in the design paradigm of contemporary intelligent robot, i.e., by employing a set of simulated rhythm sensing systems and without changing the hard drive capacity, it offers a solution to the contradiction between synchronization of perception, planning and execution and excessive calculation task, thus fulfilling the long dream of "bottleneck breaking through"