Miracle-dz/UniFAR-FTUs huggingface dataset:
Applications of the JPEG standard in a medical environment

JPEG is a very versatile image coding and compression standard for single images. Medical images make a higher demand on image quality and precision than the usual 'pretty pictures'. In this paper the potential applications of the various JPEG coding modes in a medical environment are evaluated. Due to legal reasons the lossless modes are especially interesting. The spatial modes are equally important because medical data may well exceed the maximum of 12 bit precision allowed for the DCT modes. The performance of the spatial predictors is investigated. From the users point of view the progressive modes, which provide a fast but coarse approximation of the final image, reduce the subjective time one has to wait for it, so they also reduce the user's frustration. Even the lossy modes will find some applications, but they have to be handled with care, because repeated lossy coding and decoding leads to a degradation of the image quality. The amount of this degradation is investigated. The JPEG standard alone is not sufficient for a PACS because it does not store enough additional data such as creation data or details of the imaging modality. Therefore it will be an imbedded coding format in standards like TIFF or ACR/NEMA. It is concluded that the JPEG standard is versatile enough to match the requirements of the medical community.
Analysis of the Dynamic Performance of Serial 3R Orthogonal Manipulators

Serial 3R orthogonal manipulators have been studied recently and it has been proved that they can exhibit good performances in term of workspace size and kinematic properties. The aim of this work is to analyze their dynamic performances, and compare them with anthropomorphic manipulators, which are very popular in industry.Static and dynamic analyses based on the evaluation of the maximal input torques required for moving the manipulator are achieved. It is shown that, as in kinematics, the dynamic performances of the serial 3R orthogonal manipulators are better.Copyright © 2012 by ASME
Designing Consumer Products for Ease of Use

The sections in this article are 1 Human Factors Methods 2 The Human–Machine Dialog 3 The Human–Machine Dialog: User Input 4 The Human–Machine Dialog: Visual and Auditory Output Keywords: human factors; ergonomics; usability; user interface; prototyping; input devices; output devices; visual displays; speech recognition; visual displays
A robust hybrid evolutionary method for ARMA model identification

A new hybrid evolutionary method is proposed. This method alleviates the dependency of pure evolutionary algorithms on the complexity of a given time series and turns out to be very reliable in identifying the correct order and estimation the true parameters' values of a given system model. It combines the effectiveness of the multi-model partitioning theory with the robustness of evolutionary algorithms. Although the system structure is a bit complicated, simulation results show that the proposed method gives better results compared to the conventional multi-model adaptive filter algorithm and the pure evolutionary ones, since it has not only the ability to perform well in searching the whole parameter space, but also to cope with the complexity of the model and reliably lead to the correct order and the true parameters' values. The method can be implemented in a parallel environment thus increasing the computational speed.
"Learning bricks": oggetti riusabili per simulazioni efficaci

per simulazioni efficaci Vindice Deplano, consulente di e-learning – v.deplano@tin.it Abstract Le simulazioni costituiscono un metodo formativo particolarmente efficace, ma la loro penetrazione è fortemente limitata, oltre che da vincoli culturali, da fattori legati ai costi elevati che il mercato stenta ad accettare. I Learning bricks sono un'architettura che punta a ingegnerizzare lo sviluppo di simulazioni interattive, abbassandone drasticamente costi e tempi di sviluppo senza limitarne la qualità. L'intera interfaccia della simulazione (personaggi, oggetti animati, testi, prove di autovalutazione, dialoghi, ecc.) viene costruita con un'operazione di montaggio non troppo dissimile da quella con cui si usano i mattoncini Lego. L'architettura è composta da un modulo base, che contiene le specifiche del motore della simulazione, e da un certo numero di bricks: moduli con funzioni specializzate, completamente parametrizzabili per quanto riguarda il contenuto informativo (testo, immagini, audio, video, animazioni), il collegamento con il motore della simulazione, il comportamento.
Facing the headaches of early failures: A state-of-the-art review of burn-in decisions

System screening during electronic equipment manufacturing often cost-effective opportunities to remove and replace defective items. Burn-in is an important screening method used in predicting, achieving, and enhancing field reliability. Based on a simple calculation, we would expect the number of failures in the field to be a decreasing function of burn-in period. Especially, the expected number of failures drops significantly in the first part of the curve. Thus only a few hours of burn-in greatly reduces the failure rate, hence enhancing reliability. Qualitative studies on electronics burn-in have been done. It is well known that burn-in is costly. However, a comprehensive quantitative approach is lacking in the determination of optimal burn-in periods. This paper thoroughly reviews the studies of burn-in screenings applied to industrial products. Papers published in the past have been critically commented and systematically classified. This state-of-the-art review can serve as a guide in studying the burn-in problems.
Comparative Analysis of two Open Source Network Monitoring Systems : Nagios & OpenNMS

Context: Extensive and rapid continuous growth in Internet Protocol (IP) based networks and as the result of increasing dependencies on these networks makes them extremely challenging to manage and keep them running all the time. 24/7 non-stop monitoring is important to minimize the down time of the network. For this reason dependency on automated network monitoring has been increased. Objectives: There are many tools and systems available for network monitoring. This includes expensive commercial solutions to open source products. Nagios and OpenNMS are two of the most popular systems and they are considered to be close competitors. Comparison discussions about them are very common at different forums on internet. But no empirical study for comparison analysis has been done. In this thesis the comparison study between Nagios and OpenNMS was conducted. Methods: Network monitoring functionalities are listed down from literature followed by industrial interviews with the networking professionals. Then taking these functionalities as a base, to evaluate, survey studies for both systems were conducted separately and comparison analysis of the results was performed. Usability evaluation of both systems was done by conducting usability testing and comparison analysis of the results was performed. Results: Besides providing the comparison of both systems this study also can help to findout the strengths and weaknesses of both systems separately. And in the end we suggested a list of functionalities and features which might help in selection of a monitoring system and also might be helpful for improvement of the monitoring systems.
Reference directed indexing: indexing scientific literature in the context of its use

In a preferred embodiment, the axle bearing caps of a railway locomotive traction motor include oil containing sumps from which lubricating oil is delivered by wick means to lubricate the axle-carrier motor support bearings. Overflow conduit means are provided which connect with an interior portion near the bottom of the sump and extend upwardly to an overflow outlet that is open to atmosphere and located at approximately the desired maximum oil level in the sump. When oil is added to the sump in excess of that required to reach the maximum level, the excess volume is forced from the bottom of the sump, out through the overflow conduit, thereby removing water and other contaminating liquids which are heavier than oil and settle to the bottom of the sump.
Rotor Position Identification for Brushless DC motor

Permanent magnet BLDC motors are characterized by a central magnetic core, called the rotor, and fixed electric coils (usually six) equally spaced in a ring around the core, called the stator. Motor movement is controlled by alternately energizing and de-energizing the stator coils to create a rotating magnetic field that propels the rotor. In order for this process to work correctly, BLDC motors required a technology called electronic commutation, in which the coil currents must be very carefully synchronized to rotor position to ensure that the rotating field is correctly aligned with the permanent magnetic field in the rotor. Usually rotor position is measured by external sensors such as Hall-effect sensors and optical encoders and these external sensors increase the system cost and reduces reliability. In order to control the price and make it more reliable this thesis propose to infer the rotor position from voltage and current measurement of motor. The most common approaches to sensorless control are based on the measurement of the electromotive force (back-EMF), that is induced by the rotor motion. As the back-EMF is nearly zero at very low speed and at stationary position, and can not be measured. Therefore a separate algorithm is required for start-up and control at low speed. The other method of sensorless control involves the inference of rotor position from the variation in inductance caused by rotor position. This thesis presents a prototype system for sensorless control of BLDC motors over the entire speed range of the motor, including stall (zero speed) conditions using the voltage and current signals from the motor.
Computer-based techniques for the optimal extraction of medical data from graphical paper records

A system is described which uses a new technique for the conversion of two dimensional waveforms conventionally stored on pair to a one dimensional array of data values. Paper records containing the waveform data are first scanned using a high resolution, flatbed, black and white scanner. The two dimensional pixel based images that are captured are stored as image files in the computer. Three digital image processing techniques are applied to these stored images. The first is a heuristic method for the automatic removal of random noise and the filling in of gaps in the captured image which are errors introduced during the scanning process. The second technique involves thinning each pixel based waveform to derive its skeleton. In the final part of the processing, data values are extracted from the thinned waveforms. These values are then filtered to eliminate quantisation errors introduced in the scanning process. Results using ECG waveforms are presented. < >
Teaching for Quality Learning at University: What the Student Does

The changing scene in university teaching Teaching according to how students learn Setting the stage for effective teaching Using constructive alignment in outcomes-based teaching and learning Designing intended learning outcomes Contexts for effective teaching and learning Teaching/learning activities for declarative knowledge Teaching/learning activities for functioning knowledge Aligning Assessment with Intended Learning Outcomes: Principles Assessment and grading for declarative knowledge Assessment and grading for functioning knowledge Implementing constructive alignment Constructive alignment as implemented: Some examples Index
WGL – A Workflow Generator Language and Utility

Many scientific applications can be characterized as having sets of input and derived data that have to be processed in several steps by a set of programs. Data transfer between these steps is usually done via files. Consequently, DAGs have been used to model these applications, and cluster and grid environments are used to process them. Several projects have focused on the development of techniques for scheduling and executing workflows expressed as DAGs on Grids. The goal of the wgl tool and its related utility, genwf is to enable users to generate workflows that can be used to evaluate such techniques with different workloads and processing approaches. WGL enables the modeling of DAGs with different sizes and shapes, from very small to very large. DAG specification is done by defining in a parameter file the set of datasets and programs that form the DAG. The genwf command reads the parameter file and produces what we call a “dax”, that is, a “DAG in a XML format”. Genwf uses VDS commands (vdlt2vdlx, updatevdc, gendax) to generate the dax file. In addition to the dax, genwf also creates all the necessary input files for processing the workflow. Figure 1 depicts the processing flow of generating a runnable workflow via wgl and genwf.
Distance Density Based Clustering Algorithm in Wireless Sensor Network

The hierarchical topology of wireless sensor networks can effectively reduce the consumption in communication. Clustering algorithm is the foundation to realize herarchical structure, so it has been extensive researched. On the basis of Leach algorithm, a distance density based clustering algorithm (DDBC) is proposed, considering synthetically the distribution density of around nodes and the remaining energy factors of the node to dynamically banlance energy usage of nodes when selecting cluster heads. We analyzed the performance of DDBC through compared with the existing other clustering algorithms in simulation experiment. Results show that the proposed method can generare stable quantity cluster heads and banlance the energy load effectively.
Pengaruh Budaya Organisasi Dan Kepemimpinan Terhadap Kinerja Di Rs. Koja

Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh budaya organisasi dan gaya kepemimpinan terhadap kinerja pegawai Rumah Sakit Umum Daerah Koja Jakarta. Penelitian ini menggunakan metode deskriptif, dengan pendekatan kuantitatif. Â Sampel sebanyak 60 responden. Â Analisis menggunakan SPSS 22. Hasil analisis adanya pengaruh budaya organisasi terhadap kinerja pegawai, adanya pengaruh gaya kepemimpinan terhadap kinerja pegawai, hingga adanya pengaruh secara bersama-sama antara budaya organisasi dan gaya kepemimpinan terhadap kinerja pegawai. Nilai R square sebesar 0.758, berarti bahwa budaya organisasi dan gaya kepemimpinan mempengaruhi kinerja pegawai sebesar 75.8 % dan sisanya sebesar 24.2 % dipengaruhi oleh faktor lain yang tidak diteliti.
Regional Bus Scheduling Planning Based on Time-Space Network

Based on past study, this paper analyzes the connotation of regional bus scheduling planning problem, introduces time-space network. And based on the time-space network, it attempts to build a regional bus scheduling planning model, which enables bus dispatching with minimum vehicles and deadhead cost, decomposes the problem by time and space, reduces the difficulty of computation, and utilizes tabu search for ideas to improve the algorithm, and verifies the model and algorithm through examples.
Aynı Fiziksel ve Elektromanyetik Parametreler Altında EASMSM ve ORSMSM’un Vuruntu Torkuna göre Karşılaştırılması

Eksenel akili sabit miknatisli senkron motor (EASMSM) ve outrunner sabit miknatisli senkron motor (ORSMSM) siklikla kullanilan doner tip motor cesitleridir. Elektrik motorlari icin vuruntu torkunun istenmeyen bir ciktidir. Yuksek devirlerde calisirken vuruntu torku eylemsizlik momenti sayesinde onemli bir problem olmamasina ragmen, dusuk devirlerde vuruntu torku ustesinden gelinmesi gereken bir ciddi sorundur. Ozellikle bir uydu uzerindeki gunes panellerinin hareketi icin vuruntu torku en aza indirilmelidir. Vuruntu torku surekli miknatisli senkron motorlarin tasariminda cok onemli bir unsur oldugundan dolayi, bu calismada sadece vuruntu torkuna odaklanilmistir. Bu amacla, elektromanyetik analiz programinda tasarlanan modeller vuruntu torkuna gore karsilastirilmistir. Boylece en az vuruntu torku istenen uygulamalar icin ne tip motorun tercih edilmesi gerektigi gosterilmistir.
Tetraaquatetraureaneodymium(III) triiodide

In the ionic title complex, [Nd{CO(NH2)2}4(H2O)4]I3, the neodymium is located on a twofold rotation axis and is coordinated by four urea and four water mol­ecules in a distorted square-anti­prismatic geometry.
Design-based research principles for student orientation to online study: Capturing the lessons learnt

Few institutions have reported research on students' use of orientation programs designed for mature students returning to study in contemporary learning environments now regularly amalgamating distance and online strategies. We report within a design-based research framework the student experience of GetLearning , the third stage of an innovative online orientation program. Integral to the design is active student engagement with activities to extend their skills whilst still supported in a risk free environment. Analysis included observations of the patterns of student activity, students' responses in evaluation instruments, our reflections, and identification of the limitations to deployment of such orientation programs. We also provide a set of design principles to guide further development work and research.
Nitrogen fixation in cyanobacteria

Cyanobacteria are oxygenic photosynthetic bacteria that are widespread in marine, freshwater and terrestrial environments and many of them are capable of fixing atmospheric nitrogen. But ironically, nitrogenase, the enzyme that is responsible for the reduction of N2, is extremely sensitive to O2. Therefore, oxygenic photosynthesis and N2 fixation are not compatible. Hence, cyanobacteria had to evolve a variety of strategies circumventing this paradox allowing them to grow at the expense of N2, a ubiquitous source of nitrogen.
Cardiac MR image segmentation using deformable models

Describes efficient and robust deformable model based techniques for segmentation of ventricular boundaries in cardiac MR images. Starting with a user specified approximate boundary or an interior point of the left ventricle for one ED slice, the authors' algorithms generate contours for inner and outer walls, and automatically propagate them to other slices in the ED phase (spatial propagation) and to slices in all the phases (temporal propagation) of the cardiac study. The algorithms are based on steepest descent as well as dynamic programming strategies integrated via multiscale analysis. The ventricular boundaries are used to construct a 3-D model for visualization and to compute volume based diagnostic quantities. The algorithms have been incorporated into a user interface which can load, sort, visualize, and analyze a cardiac study an less than 10 minutes. The system has been tested on a dozen volunteers and patients (1000+ images) with excellent results. <<ETX>>
Automatic Lexicon Generation for Unsupervised Part-of-Speech Tagging Using Only Unannotated Text

With the growing number of textual resources available, the ability to understand them becomes critical. An essential first step in understanding these sources is the ability to identify the parts-of-speech in each sentence. The goal of this research is to propose, improve, and implement an algorithm capable of finding terms (words in a corpus) that are used in similar ways  a term categorizer. Such a term categorizer can be used to find a particular part-of-speech, i.e. nouns in a corpus, and generate a lexicon. The proposed work is not dependent on any external sources of information, such as dictionaries, and it shows a significant improvement (~30%) over an existing method of categorization. More importantly, the proposed algorithm can be applied as a component of an unsupervised part-of-speech tagger, making it truly unsupervised, requiring only unannotated text. The algorithm is discussed in detail, along with its background, and its performance. Experimentation shows that the proposed algorithm performs within 3% of the baseline, the Penn-TreeBank Lexicon.
Modeling of pivot friction using relay function and estimation of its frictional parameters

One way of modeling frictional effects that arise from pivot ball bearing in rotary disk drive actuator requires a special experimental setup. In this paper, a revised model from two-slope and three-slope model with omission of first slopes from both position and velocity feedback and an addition of relay, is presented. The hysteresis characteristics of ball bearing are much more accurately described by a relay added on the velocity feedback. For parametrization, a mathematical description of the frictional relay is obtained, and both linear and nonlinear terms in the friction model are treated simultaneously by using conventional recursive-least-square method incorporating a new technique that extracts V/sub th/ threshold parameter. The effectiveness of the new friction model is tested by a parameter estimation scheme, and simulation and experiment of the estimation algorithm are also demonstrated for overall performance.
THE BASIC ABILITY ON BASIC STATISTICS AND MATHEMATICAL DISPOSITION OF THE SECOND SEMESTER STUDENTS OF MATHEMATICS EDUCATION PGRI UNIVERSITY OF PALEMBANG

Abstract The objectives of the research are: 1) to know the basic ability of basic statistics and mathematical disposition of the second semester students of mathematics education in PGRI University of Palembang, (2) is there any significant relationship between the basic ability on basic statistics and mathematical disposition of the second semester students of mathematics education in PGRI University of Palembang. The methods used in this research are descriptive and correlation methods. The subject of the research are students of mathematics education of PGRI University of Palembang with the total numbered 103 students. The technique of collecting the data are test and questionnaire. Based on the result of data analysis can conclude that (1) the basic ability on basic statistics and mathematical disposition of the second semester students of mathematics education in PGRI University of Palembang are fair and good. (2) There is no significant relationship between the basic ability on basic statistics and mathematical disposition of the second semester students of mathematics education in PGRI University of Palembang. Key words: the basic ability on basic statistics, mathematical disposition, descriptive, and correlation
Hidden markov models and artificial neural networks for spam detection

The stampede by both individuals and business organizations to the Internet, the acceptance of the Internet as a strategic tool for commerce, sharing of information through communication, electronic surveys and research, entertainment and the exponential growth of the World Wide Web have all combined to rekindle the threat from email spam. The Internet has virtually removed communication barriers between the corporate world and the rest of electronic world due to its ability to share and transmits information within the shortest time possible. Corporations today deploy spam filtering systems to guard the door from the outside world against invasion by unwanted email spam into their email inboxes thereby reducing the impact of junk emails. This paper presents a spam filtering system using hidden markov models and artificial neural networks to filter out spam where word obfuscation on the keyword is conducted to evade detection. To detect spam with word obfuscation on the keywords, we experimented with the use of hidden Markov models (HMMs) to capture the statistical properties of spam variants belonging to the same class. The results showed that our model was able to detect over 90% of spam with a false positive rate of less than 13%. The use of artificial neural network enhanced performance measurement of our filtering system especially on the ability of the system to learn more from any new spam messages that entered the system.