Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiobjective genetic algorithms made easy: selection sharing and mating restriction

This paper aims to illustrate how an existing GA can be modified and set up to explore the relevant trade-offs between multiple objectives with a minimum of effort. While Pareto and Pareto-like ranking schemes can be easily implemented, current guidelines on the associated set-up of techniques such as sharing and mating restriction are intricate and/or based on more or less rough assumptions about the cost landscape, making them impractical. However, if fitness sharing is reinterpreted as a technique involving the estimation of the population density at the points defined by each individual by so-called kernel methods, the setting of the sharing parameter comes to depend only on the size and current distribution of the population, and not on the problem. Kernel density estimation, a technique from statistics and data analysis, is introduced and shown to find direct application in sharing and mating restriction, simplifying implementation and avoiding the introduction of any more tunable parameters in the GA formulation. After a brief introduction to multiobjective optimization and a discussion of preference articulation in GAs, the main differences between single-objective and multiobjective GAs are highlighted, and the conversion of an existing GA into a multiobjective GA described by means of an example. Simple experimental results are presented towards the end of the paper.
Automated Detection of Breast Contour in 3D Images of the Female Torso

Stereophotogrammetry is finding increasing use in plastic surgery, both for breast reconstruction after oncological procedures and cosmetic augmentation/reduction. The ability to visualize and quantify morphological features of the breast facilitates pre-operative planning and post-operative outcome assessment. Breast contour is an important attribute for quantitative assessment of breast aesthetics. Based on the detected breast contour, relevant morphological measures such as breast size, shape, symmetry, volume and ptosis can be determined. In this study we present an approach for the automatic contour detection of the lower breast in three-dimensional (3D) images. Our approach employs surface curvature analysis. We first identify the points with the lowest Gaussian curvature within the one-ring neighborhood on the surface mesh, and then apply the random sample consensus (RANSAC) algorithm to non-deterministically estimate the lower breast contour from the set of low curvature points.
An automatic network troubleshooter for throughput bottlenecks in computer networks

Government agencies operate several large computer networks; diagnosing and repairing performance problems on these networks is an expensive task. The Automatic Network Troubleshooter (ANT) project's goal is to reduce this expense by reducing the mean-time-to-repair for performance problems. ANT uses a model-based troubleshooting technique: first creating an executable model of network misbehavior, then exploring it to identify the cause of performance problems. ANT uses pattern matching and the protocol hierarchy to speed up the search for the bottleneck. Finally ANT uses sensitivity analysis to determine the appropriate corrective action. The ANT prototype described detects throughput bottlenecks caused by misconfigured parameters and lack of bandwidth. <<ETX>>
Medical Image Retrieval Based on Semi-Supervised Learning

Among various content-based image retrieval (CBIR) methods based on active learning, support vector machine(SVM) active learning is popular for its application to relevance feedback in CBIR. However, the regular SVM active learning has two main drawbacks when used for relevance feedback. Furthermore, it’s difficult to collect vast amounts of labeled data and easy for unlabeled data to image examples. Therefore, it is necessary to define conditions to utilize the unlabeled examples enough. This paper presented a method of medical images retrieval about semi-supervised learning based on SVM for relevance feedback in CBIR. This paper also introduced an algorithm about defining two learners, both learners are re-trained after every relevance feedback round, and then each of them gives every image in a rank. Experiments show that using semi-supervised learning idea in CBIR is beneficial, and the proposed method achieves better performance than some existing methods.
Enhancement of Web Object Speculative Retrieval

Abstract Prefetching is a technique that has the potential to reduce waiting time for retrieving data over slow communications channels, such as wireless mobile networks and dial-up modem Internet connections. Prefetching performance is measured by the accuracy employed in determining what to prefetch within the limited time associated with the currently rendered web page. This article proposes a web application prefetcher based on a Markov model predictor that uses a Knapsack method to conduct object bundling, which increases the rendering speed of future web pages. Through web simulation from actual website traces, the proposed technique reduces the rendering delay of most future web page compared to demand requests.
Black-and-white spots in the application of genetics to dairy cattle breeding

We have (briefly) discussed the various statistical and genetic assumptions underlying the evaluation and analysis of data on production and functional traits, with the emphasis that researchers should at least be aware of those assumptions. However, it is right to ask what impact violations or ignorance of these assumptions have on genetic progress. Most likely, the answer is “not very much”. This is because the milk production traits are so important in determining efficiency of production, and we believe that the present day genetic evaluation methods are efficient in identifying animals of high genetic merit. However, there is always scope for small improvements, particularly in the analysis of the increasingly important health and welfare traits. Areas identified in which more research efforts could be beneficial include: i. Asking the scientific questions to determine what data needs to be collected. ii. Avoidance of heterozygosity loss in the world-wide dairy population. iii. Providing more realistic genetic models, including several QTL and polygons, for analysis of data. Future developments are likely to be in the areas of statistical modelling and analysis. For example, it seems logical to perform a joint statistical analysis of all milk recording data simultaneously, i.e. a multi-variate multi-lactation test-day model. To ensure the robustness of such estimation and prediction procedures with many parameters, methods which take into account the uncertainty in estimated covariance components, e.g. Bayesian analysis, may be needed. More sophisticated analyses using realistic genetic models (e.g. a geometric series of QTL effects) will also be needed, so that phenotypic and genotypic information is used most efficiently.
Standardized access, display, and retrieval of medical video

The system presented here enhances documentation and data- secured, second-opinion facilities by integrating video sequences into DICOM 3.0. We present an implementation for a medical video server extended by a DICOM interface. Security mechanisms conforming with DICOM are integrated to enable secure internet access. Digital video documents of diagnostic and therapeutic procedures should be examined regarding the clip length and size necessary for second opinion and manageable with today's hardware. Image sources relevant for this paper include 3D laparoscope, 3D surgical microscope, 3D open surgery camera, synthetic video, and monoscopic endoscopes, etc. The global DICOM video concept and three special workplaces of distinct applications are described. Additionally, an approach is presented to analyze the motion of the endoscopic camera for future automatic video-cutting. Digital stereoscopic video sequences are especially in demand for surgery . Therefore DSVS are also integrated into the DICOM video concept. Results are presented describing the suitability of stereoscopic display techniques for the operating room.
A/D acquisition system for an iodine-stabilized He-Ne laser

An A / D acquisition system was developed for an iodine- stabilized He-Ne laser for better characterization of the operating parameters and an automatic frequency locking on the iodine feature was the aim of our experimental work. A dedicated software was developed to enable the automatic acquisition circuitry to locate and lock onto the chosen iodine-peak from the groups d, e, f, g, or h, i, j, by making use of second and third harmonic components of the detected signal. More, a warning signal is sent by the PC AT compatible computer to the electronic controller to acknowledge the lock condition.
Control-to-output Transfer Function of the Open-loop Step-up Converter in CCM Operation

Based on the average method and the geometrical technique to calculate the average value, the average model of the open-loop step-up converter in CCM operation is established. The DC equilibrium point and corresponding small signal model is derived. The control-to-output transfer function is presented and analyzed. The theoretical analysis and PSIM simulations shows that the control-to-output transfer function includes not only the DC input voltage and the DC duty cycle, but also the two inductors, the two energy-transferring capacitors, the switching frequency and the load. Finally, the hardware circuit is designed, and the circuit experimental results are given to confirm the effectiveness of theoretical derivations and analysis.
Collection Development and Censorship in Torah Studies Libraries in Israel

A Torah studies library is a type of Jewish library specializing in biblical and rabbinical literature. One of its characteristics is its process of collection development and censorship. This study primarily aims to discuss the collection development policies in Torah libraries, particularly censorship implemented as part of a policy, with an emphasis on how prohibited books are rejected. A qualitative-narrative research technique was used, allowing the viewpoints of the “selectors” to be examined. To present a broad picture, various types of Torah studies libraries were chosen for the study.
Computer models for fading channels with applications to digital transmission

The authors describe computer models for Rayleigh, Rician, log-normal, and land mobile satellite fading channels. All computer models for the fading channels are based on the manipulation of a white Gaussian random process. This process is approximated by a sum of sinusoids with random phase angle. These models compare very well with analytical models in terms of their probability distribution of envelope and phase of the fading signal. For the land mobile satellite fading channel, results of level crossing rate and average fade duration are given. These results show that the computer models can provide a good coarse estimate of the time statistic of the faded signal. Also, for the land mobile satellite fading channel, the results show that a 3-pole Butterworth shaping filter should be used with the model. An example of the application of the land mobile satellite fading channel model to predict the performance of a differential phase-shift keying signal is described. >
A 3.125-Gb/s clock and data recovery circuit for the 10-Gbase-LX4 Ethernet

A 3.125-Gb/s clock and data recovery (CDR) circuit using a half-rate digital quadricorrelator frequency detector and a shifted-averaging voltage-controlled oscillator is presented for 10-Gbase-LX4 Ethernet. It can achieve low-jitter operation and improve pull-in range without a reference clock. This CDR circuit has been fabricated in a standard 0.18-/spl mu/m CMOS technology. It occupies an active area of 0.6 /spl times/ 0.8 mm/sup 2/ and consumes 83 mW from a single 1.8-V supply. The measured bit-error rate is less than 10/sup -12/ for 2/sup 7/ - 1 PRBS 3.125-Gb/s data. It can meet the jitter tolerance specifications for the 10-Gbase-LX4 Ethernet application.
Can Metric Parameter Combining Metabolic Syndrome Components Usefully Predict Coronary Artery Disease?

Aims: We have investigated to what extent Metabolic Syndrome (MS) is related to Coronary Artery Disease (CAD) incidence and we tried to determine a metric parameter combining MS quantitative components to be used as a screening tool to diagnose CAD. Materials and methods: 239 patients and 244 control subjects were investigated for clinical, biochemical, anthropometric and angiographic information. CAD is defined as 50% stenosis on the left main coronary artery or multiple significant (≥ 70% stenosis) in more than one coronary artery. The diagnosis of MS was based on the IDF and AHA/NHLBI definition. The computer model HOMA 2 was used to determine HOMA-β, HOMA-S and HOMA-IR. Triglycerides (TG), High Density Lipoprotein cholesterol (cHDL), Systolic Blood Pressure (SBP) and Diastolic Blood Pressure (DBP), HOMA-IR and Waist Circumference (WC) were used to calculate the different MS markers. The area under curve of ROC curves were used to compare the powers of these MS markers. Results: MS was significantly related to the CAD. Each MS quantitative component was a significant discriminating factor for CAD. FPG followed by SBP were the principal predictive factors of CAD. A metric parameter combing MS qualitative components [(TG/cHDL) × (HOMA-IR × WC)] + SBP was more accurate to estimate CAD risk. Its cut-off point was 247.1 Conclusion: MS was associated with CAD. This marker, with sensitivity and specificity of 86.2 and 73.0 per cent can be used either to diagnose or to predict CAD incidence. *Corresponding author: Mohamed Youssef Sarraj, Research Unit 05/UR/0912: Genetic and Biological Factors of Atherosclerosis, Medicine Faculty, University of Monastir, Tunisia, Tel: 216-73-462-200; Fax: 216-73-460-737; E-mail: Youssef_sarraj@yahoo.fr Received April 01, 2013; Accepted April 22, 2013; Published April 27, 2013 Citation: Youssef SM, Mohamed N, Afef S, Khaldoun BH, Fadoua N, et al. (2013) Can Metric Parameter Combining Metabolic Syndrome Components Usefully Predict Coronary Artery Disease? J Metabolic Synd 2: 119. doi:10.4172/21670943.1000119 Copyright: © 2013 Youssef SM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Efficient Scheduling for Real-Time Pinwheel Tasks on DVS Processors

In this paper, we focus on the pinwheel task model for a variable voltage processor with d discrete voltage/speed levels. We propose an intra-task DVS algorithm which constructs a minimum energy schedule for k tasks in O(d+ k log k) time. Previous approaches solve this problem by generating a canonical schedule beforehand and adjusting the tasks' speed in O(dn log n) or O(n3) time. However, the length of a canonical schedule depends on the hyperperiod of those task periods and is of exponential length in general. In our approach, the tasks with arbitrary periods are first transformed into harmonic periods and then profile their key features. Afterward, an optimal discrete voltage schedule can be computed directly from those features.
On list decoding of alternant codes in the hamming and lee metrics

Fix some metric d : F × F → R. A list-l decoder for Calt (with respect to d(·, ·)) can now be designed as follows. Find an integer β and a mapping M : F → N such that for the largest possible integer τ , the following two conditions hold for the matrix M(y) that corresponds to any received word y, whenever a codeword c ∈ Calt satisfies d(c,y) ≤ τ : (C1) SM(y)(c) ≥ β. (C2) (i) and (ii) are satisfied by some Q(x, z) 6= 0.
Customer loyalty – a relevant concept for libraries?

In commercial contexts the concept of customer loyalty has received much attention, because there is perceived to be a link to profitability. A review of the theoretical work on this concept identifies that loyalty has both attitudinal and behavioural elements. Categories of loyals proposed by Dick and Basu are defined by the relationship between attitudinal and behavioural aspects of loyalty. Antecedents to loyalty include cognitive, affective and conative factors. The management of loyalty must focus on the control or modification of these antecedents. This offers an agenda for further debate within specific libraries. The outcomes of any programme to manage loyalty needs to be evaluated and measured. The measurement of loyalty poses some interesting challenges in terms of the definitions of the attitudes and behaviours that it might be appropriate to measure. Library managers need to identify which measures are the most appropriate for their context
Advanced Ngs Platforms in Molecular Diagnostics of Hypertrophic and Dilated Cardiomyopathies

In the wide scenery of heart pathologies the field of cardiomyopathies is one of those showing a great unreliability. After years of generic classifications the American Heart Association (AHA 2006) first, the European Society of Cardiology (ESC 2008) and just recently the MOGE’S Classification (2013), signed a decided step forward to depict more accurately the different forms of cardiomyopathies. During the last decades, technology improvement realized an important growing of knowledge, about clinical and diagnostics instrumental assessment of the cardiomyopathies. At the same time, the large diffusion of genetic and molecular diagnostic procedures, represent the powerful tool to create a more accurate correlation, between clinical evidences and genetic and molecular damage. Although the important advancements realized, we are still far away to understand why to determinate DNA aberration may correspond a wide range of cardiomyopathies, especially for hypertrophic (HCM) and dilated (DCM) forms, characterized by a different quality and quantity of myocardial damage. The poor alignment between genotypes and phenotypes of these cardiomyopathies is the main reason that makes this topic still obscure and scarcely understood. The newest and most advanced high throughput next generation sequencing (NGS) technologies, could represent, at the moment, the powerful tool able to realize a complete and rapid sequencing of the whole genome (WGS), exome (WES) or transcriptome. This goal is certainly a starting point for each patient affected of cardiomyopathy, making possible to individuate all the genetic mutations, genomic variations and epigenetic keys implicated in the myocardial structural damage. The aim of this work is to review and update the state of the art of the knowledge on Hypertrophic CM (HCM) and Dilatative CM (DCM).
Optimization Method of Coherent Accumulation Operation Based on SIMD Architecture

With SIMD functional unit as part of a wide range of application acceleration, how to effectively use this architecture to optimize the application to become a hot spot compiler optimization. This paper discusses the SIMD instructions and pipeline optimization methods. After using MMX instructions and pipeline optimization, real-time to achieve a strong guarantee pure software receiver.
Experimental evaluation of GMPLS enhanced routing for differentiated survivability in all-optical networks

Future intelligent optical networks (IONs) are devised to support a wide variety of clients, each having their own reliability requirements, such as availability. These networks thus need to support differentiated recovery schemes fulfilling those requirements while achieving efficient network performance (e.g., resource usage). We specifically focus on dedicated path protection (DPP) and shared path protection (SPP) recovery within generalized multiprotocol label switching (GMPLS) all-optical networks. In this context, the standard GMPLS open shortest path first-traffic engineering (OSPF-TE) protocol does not convey the required routing information in order to achieve a desirable network performance. The novelty of this work is twofold. First, to present enhanced GMPLS routing approaches for both SPP and DPP recovery schemes that, besides maximizing resource usage, also address connection blocking mostly due to the wavelength continuity constraint. Second, to evaluate these implemented schemes in a real experimental ION named ADRENALINE testbed. A detailed description of the routing approaches along with their required extensions to current GMPLS OSPF-TE is provided. The experimental performance comparison is conducted considering three figures of merit: connection blocking probability, restoration overbuild, and connection setup delay. The evaluation of the aforementioned schemes may help network operators to select a survivability scheme for a given client.
Performance of K-Nearest Neighbors Algorithm in Opinion Classification

Abstract This paper presents another approach for determining document’s semantic orientation process. It includes a brief introduction describing the area of application of opinion mining, and some definitions useful in the field. The most commonly used methods are mentioned and some alternative ones are described. Experiment results are presented which show that kNN algorithm gives similar results to proportional algorithm.
Extraction of Relational structure from time series data using Inductive Logic Programming: A Platform for skillful motion analysis

今日，スキルの分析が注目されている．スキル分析では協調動作のルール獲得が重要な課題となっており，複数センサーからの時系列データの分析において例えばある系列が状態Ａのあと，しばらくして別の系列で状態Ｂが発生するという関係を扱う必要がある．しかし，現実には時系列データのみで状態が定義されていない入力を扱う状況も多い．こうした中，相関を中心に扱う従来の時系列分析ではデータのもつ時区間を持った特徴同士の関係が扱えないなど複雑な構造の扱いについて不十分な点があった．そこで本論文では，時系列データを状態の遷移系列に変換した上で，帰納的に時区間をもったデータのルールを獲得する手順を提案する．まず，我々は与えられた多変量な計測データのそれぞれの時系列データに対して，局所的に定常なモデルを推定していく．次に，このように推定したものをクラスタリングし，それぞれのクラスタに対して記号を与え，結果として各時系列データを記号の系列データにする．つづいて，得られた系列における記号に開始時点と終了時点を加えて，時区間表現系time-interval-symbol (TIS)に変換する．最後に得られたTISから帰納論理プログラミングを利用し，時区間関係ルールを抽出する．以上の方法を実データに用いた結果，チェロ演奏において有用な知見が得られることが確認できた．
When constants are important

In this paper the authors discuss several complexity aspects pertaining to neural networks, commonly known as the curse of dimensionality. The focus will be on: (1) size complexity and depth-size tradeoffs; (2) complexity of learning; and (3) precision and limited interconnectivity. Results have been obtained for each of these problems when dealt with separately, but few things are known as to the links among them. They start by presenting known results and try to establish connections between them. These show that they are facing very difficult problems--exponential growth in either space (i.e. precision and size) and/or time (i.e., learning and depth)--when resorting to neural networks for solving general problems. The paper will present a solution for lowering some constants, by playing on the depth-size tradeoff.
Task space robot control using an inner pd loop

This paper presents a task-space robot controller composed of two nested loops. The inner loop corresponds to a proportional derivative joint controller and the outer loop consists of a proportional integral controller fed by task space measurements. Stability is studied by means of the Lyapunov method and a visual servoing application is considered for experimentally assessing the performance of the proposed controller.