Miracle-dz/UniFAR-FTUs huggingface dataset:
System Architecture of Atopic Dermatitis Adjuvant for Children Using Wireless Sensor

Pre schools with state of the art facilities that would provide not just academic excellence but also ensure the safety and provide efficient health care to their pupils relative to Atopic Dermatitis with Asthma is the main objective of this research One of the most promising applications of sensor networks is for human healthcare monitoring. Due to recent technological advances in sensor, low power microelectronics and miniaturization, and wireless networking enable the design and proliferation of this wireless sensor networks capable of autonomously monitoring and controlling environments. Thus, this research presents the utilization of such microelectronic sensor and plots the hardware and software architecture of a wireless sensor network system with real-time pupil monitoring that integrates vital sign sensors, location sensor and allergen sensor. This proposed architecture for wearable sensors can be used as active tags which can track pupil's location within the school's premises, identify possible atopic dermatitis with asthma allergens, it would monitor and generate a health status report of the pupil.
A New Collaborative Filtering Method for Movie Recommendation Using Genre Interest

Collaborative filtering has been popular in commercial recommender systems, as it successfully implements social behavior of customers by suggesting items that might fit to the interests of a user. So far, most common method to find proper items for recommendation is by searching for similar users and consulting their ratings. This paper suggests a new similarity measure for movie recommendation that is based on genre interest, instead of differences between ratings made by two users as in previous similarity measures. From extensive experiments, the proposed measure is proved to perform significantly better than classic similarity measures in terms of both prediction and recommendation qualities.
The Implementation of a High Speed Ethernet Traffic Generator Based on FPGA

High speed Ethernet traffic is important for some system tests which use TCP/IP as the data communication. A software way to do this job brings benefits on robust, but due to the limitation of CPU, it can not give full line speed of Ethernet frame, especially where short frame is needed. An implementation of an embedded high speed network traffic generator which is based on FPGA is introduced. It can be used to generate arbitrary length of PRBS Ethernet frame. Due to the high speed process ability of FPGA, even when the frame length is as short as 64 bytes, the speed is almost the full line speed as the theoretical value, which is 10 times fast than software method.
Seamless Control of Multi-Fingered Robot Hands Based on Grasp Polyhedrons

: This paper is concerned with a new feedback control design methodology for multi-ﬁngered robot hands applicable to multiple contact situations. As a ﬁrst step, we especially consider the situations where all the ﬁngers are in contact or not in contact with an object, considering the tasks of catching and releasing the object preceding to or followed by grasping / manipulating the object. Main features of the proposed method are: (1) the direction of the ﬁngertip motion in the non-contact situation is selected to be directly linked to the direction of the object motion and the internal force in the contact situation; (2) by introducing a uniﬁed system description for multiple contact situations, a linearizing compensator applicable to multiple contact situations is designed. The controller can handle the tasks with the multiple contact situations by choosing appropriate desired trajectories for the linearizing compensator without switching control architecture. In addition, owing to the selection of the motion in the non-contact situation, all the ﬁngers can approach to the object synchronously along the directions of the object motion and the internal force in the contact situation. A numerical example is shown to prove e ﬀ ectiveness of the proposed method.
Flexible Power Flow Algorithm for Distribution Network Including Second-Order Items

For intelligent distribution system including Distributed Generations, we take the generator and load static characteristic into account and propose a flexible power flow algorithm for distribution network including second-order items. First, this algorithm modifies the distribution network power flow equations including second-order items in order to meet the static characteristic of generator and load. Moreover, we use the fsolve function of MATLAB to solve the power flow equations. This algorithm makes full use of the characteristic of high accuracy of the distribution network flow equations including second-order items and good convergence of the fsolve function. Compared with conventional distribution power flow algorithm, it does not need to set the trend flexible node type of each one. Not only the voltage amplitude, phase information of each node and the system frequency information can be calculated, as well as the actual power of generator and loads. The result of the algorithm is more in line with the practical electric power system engineering. Improved IEEE33 node system is chosen to verify the correctness of the algorithm.
Variability in analyst decisions during the computation of numerical likelihood ratios

This study assesses the extent to which likelihood ratios (LRs) are affected by analyst decisions regarding the number of reference speakers, number of tokens per speaker, and degree of linguistic match between the suspect-offender and the reference data. Using F1 and F2 trajectories from spontaneous /uː/ vowels, LRs were computed against a reference set of up to 120 speakers, and between 2 and 13 tokens per speaker. LR scores proved robust when using more than 30 speakers, although validity improved as the sample size increased. Regional dialect mismatch was found to overestimate same-speaker scores by an average of one order of log10 magnitude. For different-speaker pairs, dialect mismatch generally resulted in more false hits. The results indicate that small amounts of reference data should generally be avoided, and that an awareness of the complexity of sociophonetic variation is essential in the definition of the relevant population for voice comparison.
Continuous QKD and high speed data encryption

We present the results of a Swiss project dedicated to the development of high speed quantum key distribution and data encryption. The QKD engine features fully automated key exchange, hardware key distillation based on finite key security analysis, efficient authentication and wavelength division multiplexing of the quantum and the classical channel and one-time pas encryption. The encryption device allows authenticated symmetric key encryption (e.g AES) at rates of up to 100 Gb/s. A new quantum key can uploaded up to 1000 times second from the QKD engine.
Optical fiber cable flexibility design under plastic deformation and its evaluation

This paper discusses the flexibility of a cable when it is bent to the range of plastic deformation of the cable material. Considering the situation where the cable material exhibits elastic or plastic deformation, the expression for the maximum bending moment, which represents the flexibility of the cable, is derived in terms of the following parameters: The strain-hardening exponent n and the plastic modulus which are material parameters; and the outside and the inside radii r1 and r2, respectively, which are the structural parameters. As a method to determine the foregoing material parameters experimentally, the three-point bending test is discussed. A method is presented which determines the strain-hardening exponent n and the plastic modulus from the relation between the load P and flexion δ. The method is verified experimentally. The case is considered where the cable is composed of several materials such as sheath, core, and tension member, and it is demonstrated that the bending moment of the whole cable is given as a sum of the bending moments of the component materials. Thus, it is shown that if the material parameters of the cable components are known, the maximum bending moment of the whole cable, representing the flexibility, can easily be designed.
Validity of armband measuring energy expenditure in overweight and obese children.

PURPOSE The purpose of this study was to examine the ability of the SenseWear Pro2 Armband (SWA) to accurately assess energy expenditure in free-living overweight or obese children during a 2-wk period by comparison with energy expenditure measured using the doubly labeled water (DLW) method. A second aim was to examine which software version, Innerview Professional 5.1 or Sensewear Professional 6.0, is the most appropriate for use together with SWA in overweight and obese children. METHODS A random sample of 22 healthy, overweight, or obese children (11 girls and 11 boys) aged 8-11 yr were recruited from an ongoing intervention study. Energy expenditure in free-living conditions was simultaneously assessed with the SWA and DLW methods during a 14-d period. All data from the SWA were analyzed using InnerView Professional software versions 5.1 (SWA 5.1) and 6.1 (SWA 6.1). RESULTS An accurate estimation in energy expenditure was obtained when SWA 5.1 was used, showing a nonstatistically significant difference corresponding to 17 (1200) kJ x d(-1) compared with the energy expenditure measured using the DLW method. However, when SWA 6.1 was used, a statistically significant (18%) underestimation of energy expenditure was obtained, corresponding to 1962 (1034) kJ x d(-1) compared with the DLW method. CONCLUSIONS The SWA together with software version 5.1, but not 6.1, is a valid method for accurately measuring energy expenditure at group level of free-living overweight and obese children.
Computational holographic image reconstruction

Computational methods for image plane reconstruction form a hologram are developed. The methods are based on use of Fast Fourier Transform which greatly aids the computation speed. Even more computing speed is afforded by a special-purpose digital signal processor programmed for this application. The goal is to greatly speed up the process of quantitative image reconstruction as compared to 3D scanning of optically reconstructed images. Examples of in-line holographically recorded images of marine micro-organisms are shown and computed images from computationally synthesized particle field hologram are provided since this is of interest for 3D particle image velocimetry. A fast computational method of counting the number of small objects recorded on a hologram is developed and used. A measure of the depth of field is given which shows that for very fine depth resolution, off- axis holograms are recommended. However, these require more pixels and image memory so they are limited to smaller areas than in-line holograms.
Text Analytics for Surveillance (TAS): An Interactive Environment for Safety Literature Review

Pharmacovigilance regulations and guidelines state that literature databases should be searched at least monthly to detect safety signals from the published literature. In addition, periodic safety update reports (PSURs) should contain a summary and references from reports in the literature containing important safety findings. The volume of literature that needs to be reviewed is high, making manual review of the abstracts a resource-intensive process. Text Analytics for Surveillance (TAS) was developed as a software tool to improve the efficiency and consistency of the routine literature evaluation, tracking, and documentation process within a regulated pharmaceutical environment. Text Analytics for Surveillance uses natural language processing and includes a novel application of text analytics to assist with identifying the most relevant articles in the process of scheduled surveillance of published literature by enhancing categorized review, introducing consistency of approach, ensuring rigorous recording of activities, and aiding profile analysis. There are clear opportunities to reuse the TAS approach within other scientific and business areas where regular literature evaluation is important.
On Recent Advances in Optimal Allocation Designs in Clinical Trials

One of the fundamental questions in the design of clinical trials is how to optimally allocate treatments to study subjects to achieve selected experimental objectives. In this article we review major recent methodological advances in optimal allocation for clinical trials. A literature review shows that starting from the 2000s many new allocation methods have been proposed to enhance the design of multiobjective and multiarm clinical trials. These allocation designs can provide improvements over traditional balanced allocation designs both in terms of statistical efficiency and ethical criteria. We also discuss state-of-the art response-adaptive randomization procedures for implementing optimal allocation designs in practice.
Prune Support Vector Machines by an Iterative Process

Abstract Support vector machines (SVMs) are well known to give good results on many pattern recognition problems, but they exhibit classification speeds that are substantially slower than those of neural networks. One can speed up SVM classification by reducing the complexity of the decision function, which can be obtained by decreasing the number of support vectors. An iterative process is proposed to prune SVM and avoid obvious decline in classification accuracy. Computational results indicate that the number of support vectors is related to the size of training set, and that simplified SVMs with many fewer support vectors have classification accuracy nearly equal to that of original SVM. The proposed method is also compared with previous research, with results that support it as an effective method to obtain a simplified SVM for large problems.
Adaptive peak power reduction scheme controlling peak level based on adaptive algorithm

In this paper, based on an adaptive algorithm, an adaptive peak power reduction scheme (APPR) is proposed that can reduce the peak power and suppress radiated power outside the bandwidth. In the proposed method, no sudden nonlinear processing such as clipping is used, but the gain calculated by the adaptive algorithm is multiplied by the modulation signal. Hence, reduction of the peak power of the modulation signal and decreased radiation outside the bandwidth can be realized simultaneously. Further, since the proposed method can reduce the peak without dependence on the spectral shape of the modulation signal, the method can be applied to various wireless communications systems that have modulation signals with a large peak power. In order to evaluate the effectiveness of the proposed scheme, numerical simulations are performed with OFDM signals having a large peak power as the modulation signals in order to demonstrate the excellent peak reduction effects. © 2006 Wiley Periodicals, Inc. Electron Comm Jpn Pt 1, 89(10): 44–54, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecja.20244
Cultural Maintenance, Ownership, and Multiple Perspectives: features of Web‐based delivery to promote equity

ABSTRACT Designing educational resources for disadvantaged groups living in rural and remote communities presents a number of challenges. In this paper, the design processes involved in the development of an online unit for Indigenous Australian learners preparing to enter university are outlined. Several design issues that impact on the creation of learning tasks and styles of communication to promote equity and access are described including ownership of learning, cultural inclusivity and community based learning. The paper argues for cultural maintenance, which means incorporating the values, styles of learning and cognitive preferences of the client group in decision making. It also means going beyond surface‐level design considerations to achieving ownership of learning and the creation of multiple perspectives that anchor learners both to their local community and to other global networks. Examples of tasks, activities and forms of community‐based learning are provided in the context of a multiple‐cultural model of learning that recognises inclusivity and different orientations to learning. It is recommended that when creating WWW‐based course sites to achieve equity and access, systematic attention must be given to particular design issues that recognise diversity, utilise an appropriate instructional design approach and involve community input in the design process
An efficient multi-level placement technique using hierarchical partitioning

The authors apply ratio cut hierarchical partitioning, which enables efficient multilevel simulated annealing. An overlapping moving window scheme is used to compensate for the effect of partitioning on the placement quality. Due to the hierarchical partitioning, the asymptotic run-time complexity of this algorithm is linear to the circuit size. The system is called PRC (placement by ratio cut partitioning). Experimental results have been consistently better than TimberWolfSC ver.5. 6 for the available test cases and show significant run-time reduction for the large test cases of more than 2000 cells. For a 100 K sea of gates test case, a 7% improvement in wirelength over TimberWolfSC ver.5. 6 and a more than 50% of savings in CPU time were observed. <<ETX>>
Occlusion prediction based on target dynamics and spatial reasoning

This paper describes a novel system, which is able to track multiple man made objects, typically vehicles moving in a natural open world scene and continue to track those vehicles even if they become occluded by a static object in the scene. The system developed interprets major structural features of an open world scene across consecutive image frames, building a symbolic map representation of the image. The system assumes no a priori knowledge of any structure within the image. It builds the map of the scene on a frame by frame basis by tracking vehicles within the image. Extracted target dynamics are used in conjunction with a high-level reasoning process to construct the scene map. The map shows regions in the image where vehicles are likely to be detected and regions where they are likely to become occluded. The tracking is complicated by the fact that the vehicles to be tracked are expected to be a large distance from the camera and as such will only occupy a small number of image pixels. Based on the scene map and current target dynamics, the system predicts target occlusion and is able to continue tracking the target even though it is not in the field of view. The system has been tested using an input sequence of vehicles moving in a complex outdoor scene, where the vehicles undergo both full and partial occlusion.
Adaptação cultural, validade de conteúdo e confiabilidade interobservadores do "STAR Skin Tear Classification System"

OBJETIVOS: realizar a adaptacao cultural do STAR Skin Tear Classification System, para a lingua portuguesa e testar a validade de conteudo e a confiabilidade interobservadores da versao adaptada. METODOS: estudo metodologico com abordagem quantitativa. A adaptacao cultural foi desenvolvida em tres fases: traducao, avaliacao por comite de juizes e retrotraducao. O instrumento foi testado quanto a validade de conteudo e confiabilidade interobservadores. RESULTADOS: a versao adaptada obteve um nivel regular de concordância quando aplicada por enfermeiros em fotografias de lesoes por friccao. Quando aplicada na pratica clinica, a versao adaptada obteve nivel moderado e estatisticamente significativo de concordância. CONCLUSAO: o estudo atestou a validade de conteudo e a confiabilidade interobservadores da versao adaptada para a lingua portuguesa. Sua inclusao na pratica clinica possibilitara a correta identificacao desse tipo de lesao, alem da implementacao de protocolos para a prevencao e tratamento das lesoes por friccao.
Efficiency of image processing architectures near the focal plane array

We report on the capabilities and efficiencies made possible by placing image processing functions near or on the Focal Plane Array (FPA). Recent work in advanced near FPA signal processing has shown that it is possible to migrate many of the heretofore off focal plane image processing tasks onto the Readout Integrated Circuit (ROIC). The goals of this work are to describe and demonstrate the feasibility of "Activity Sensing" and the associated computational efficiency with this type of on FPA processing. Bottleneck reduction, intelligent information processing, and adaptive bandwidth compression are also key challenges of the next generation FPA architectures with on FPA processing. We report on the development and performance benefits expected from an Activity Sensing algorithm using recorded infrared (IR) Data from a large format 1024 × 1024 variable acuity Indium-Antimonide1 FPA sensor.
Efficiency of the Antithetic Variate Method for Simulating Stochastic Networks

This paper investigates the efficiency of antithetic variate simulation for estimating the expected completion time of stochastic networks. The method is compared with Monte Carlo simulation and considers both computation effort and the variance of the estimators. An efficiency ratio is first developed and then investigated within a theoretical framework. We then provide analytical proof of the superiority of the antithetic variate method for some networks whose activity durations are distributed symmetrically about their means. Next, experimental analysis of the efficiency ratio is carried out using test networks that are randomly structured and whose activity distributions are randomly assigned. The study shows that on the average the antithetic variate method can provide the same precision as Monte Carlo simulation, but with approximately 1/4 the computation effort. Furthermore, when activity distributions are symmetric, we can expect the antithetic variate method to require less than 1/10 the computation effort.