Miracle-dz/UniFAR-FTUs huggingface dataset:
Program Review: Raising Healthy Eaters

The prevalence of overweight children and adults has been increasing steadily over the past three decades. Behaviors related to diet and nutrition are often established in early childhood. Toddlers most often develop healthy eating habits through parent modeling. Due to the steady increase in obesity in children, there is a clear need for nutrition and parenting programming that helps parents gain a better understanding of nutrition and feeding habits of children. In this article we review the curriculum Raising Healthy Eaters, a program that integrates parenting and nutrition.
Impacto de la educación musical: una revisión de la literatura científica

Este articulo estudia el impacto de la educacion musical cursada en las ensenanzas obligatorias a partir de una revision de la literatura academica existente. La busqueda en bases de datos especializadas proporciono un total de 25 articulos publicados durante el periodo 2005 - 2016. Tras analizarlos se establecieron dos categorias de impacto: DENTRO, en relacion con la propia disciplina y FUERA, con implicaciones mas alla de la disciplina. Buena parte de las publicaciones analizadas contemplaron el impacto de acuerdo con tematicas que sobrepasan lo que es estrictamente la educacion musical obligatoria abarcando aspectos personales, intelectuales y/o sociales. En consecuencia, se presenta una conceptualizacion de impacto en educacion musical que va mas alla de los aspectos mensurables asociados a las politicas educativas de reforma.
A feasible loss model for IGBT in soft-switching inverters

This paper presents a feasible loss model to estimate IGBT losses in a soft switching operation. The loss model is developed based on the experimental determination of the power losses. This paper investigates the power losses in IGBT's as a function of the circuit and its operation parameters, in order to help the device selection for a given application. In addition, it compares the losses produced by hard-switched and quasisquare-wave inverters for different currents. The study takes into account conduction losses, switching losses (turn-on and turn-off losses) and losses in the passive components.
New secure routing protocol with elliptic curve cryptography for military heterogeneous wireless sensor networks

Abstract Military Heterogeneous Wireless Sensor Network (MHTWSN) is an emerging technology. Due to its extending services, MHTWSN is becoming a widely preferable network for border area monitoring and enemy object tracking in sensitive, unmanned areas. However, security is one of the key challenging issue in MHTWSN. Many routing protocols like AODV, AOMDV, I2MR, and IMCC have proposed for efficient routing establishment and data delivery, but these routing protocols results the poor performance when the network is under any security attack. So we have proposed a new secure multipath routing protocol (NSRP) for military heterogeneous wireless sensor network (MHTWSN) for secure data transmission. NSRP uses elliptic curve cryptography (ECC) to discover trusted neighbor nodes and establish the secure multiple routes for reliable data delivery in MHTWSN. Our protocol has an efficient key management mechanism which provides better security and improves the network performance. NSRP has achieved low communication overhead, memory requirement and energy consumption as compared with existing key management schemes.
Dynamic Model and Finite-Time SMC and Backstepping Control of a Mobile-Manipulator System

A mobile manipulator was designed by combining three-wheeled mobile robot equipped with the DC motor and three-links manipulator equipped with dynamixel motor. The kinematic relation and dynamic model were built via nonholonomic constraint and Euler-Lagrange equation. For the decoupled model of this system, adaptive finitetime controllers sliding mode controller (SMC) and backstepping controller were designed respectively to obtain fast tracking response. Simulation and experimental results show the efficacy of the proposed control scheme.
Radio frequency fingerprinting for outdoor user equipment localization

Mondal, Riaz Uddin Radio Frequency Fingerprinting for Outdoor User Equipment Localization Jyväskylä: University of Jyväskylä, 2017, 68 p. (+included articles) (Jyväskylä Studies in Computing ISSN 1456-5390; 271) ISBN 978-951-39-7284-4 (nid.) ISBN 978-951-39-7285-1 (PDF) Finnish summary Diss. The recent advancements in cellular mobile technology and smart phone usage have opened opportunities for researchers and commercial companies to develop ubiquitous low cost localization systems. Radio frequency (RF) fingerprinting is a popular positioning technique which uses radio signal strength (RSS) values from already existing infrastructures to provide satisfactory user positioning accuracy in indoor and densely built outdoor urban areas where Global Navigation Satellite System (GNSS) signal is poor and hard to reach. However a major requirement for the RF fingerprinting to maintain good localization accuracy is the collection and updating of large training database. The Minimization of Drive Tests (MDT) functionality proposed by 3GPP LTE Release 10 & 11 has enabled cellular operators to autonomously gather and update necessary amount of RF fingerprint samples by utilizing their subscriber user equipments (UEs). The main objective of this thesis is to propose a framework for RF fingerprint positioning (RFFP) of outdoor UEs using MDT data and to further improve its performance capability to provide better localization. In the first part only LTE base-station (BS) RSS values were used to improve grid-based RF fingerprint positioning (G-RFFP) by using novel approaches: using overlapped grid-cell layouts (GCL), weighting based grid-cell unit selection and Artificial Intelligence based G-RFFP method. In the second part real measurement RSS values from LTE BS and WLAN access points (APs) were utilized and a generic measurement method referred to as GMDT was proposed to correlate WLAN RSS to LTE RSS measurements and its significance to RFFP was studied using a partial fingerprint matching technique. To remove the computational cost associated with training data preprocessing a new cluster-based RF fingerprint positioning (C-RFFP) method was proposed. This thesis provides a good source of information and novel techniques for cellular operators to build a low cost RF fingerprint positioning system which can deliver acceptable results in emergency user localization.
PENERAPAN MANAJEMEN LAYANAN TEKNOLOGI INFORMASI PADA PT ALBASIA NUSA KARYA DENGAN MENGGUNAKAN FRAMEWORK ITIL VERSI 3 PADA DOMAIN SERVICE DESIGN

Abstrak Manajemen layanan teknologi informasi saat ini sangat dibutuhkan dalam dunia bisnis karena kerentanan layanan dalam dunia bisnis tersebut sering tidak dapat di prediksi. Seperti PT Albasia Nusa Karya yang juga membutuhkan manajemen layanan teknologi informasi untuk memaksimalkan kualitas layanannya. Penelitian ini akan membahas bagaimana penerapan manajemen layanan teknologi informasi pada PT Albasia Nusa Karya untuk memaksimalkan kualitas layanan dengan menggunakan framework InfrastructureTechnology Information Library (ITIL) Versi 3 Domain Service Design, ITIL merupakan framework IT Service Management sebagai metode pendukung utama dalam optimalisasi manajemen layanan. Penelitian ini akan diajukan sebagai bahan pertimbangan untuk perusahan PT Albasia Nusa Karya dalam penerapan manajemen layanan teknologi informasi yang berfokus pada penyelesaian masalah kualitas layanan saat ini. Metode yang akan digunakan pada penelitian ini adalah wawancara dan observasi, sehingga mendapatkan hasil yang akan di analisis risiko dan prioritasnya dari sisi People, Process, Product agar dapat menerapkan manajemen layanan teknologi informasi dengan baik. Kata Kunci: IT Service Management (ITSM), InfrastructureTechnology Information Library (ITIL), Service Design, Analisis Risiko. Abstract Information technology service management is currently needed in the business world because service vulnerabilities in the business world are often unpredictable. Like PT Albasia Nusa Karya, which requires management of information technology services to maximize the quality of its services. This study will discuss how the application of information technology service management at PT Albasia Nusa Karya to maximize the quality of service by using the Infrastructure Technology Information Library (ITIL) the 3rd Version framework of Domain Service Design, ITIL is an IT Service Management framework as the main supporting method in optimizing service management. This research will be proposed as a consideration for the company PT Albasia Nusa Karya in the application of information technology service management that focuses on resolving current service quality problems. The method that will be used in this research is interview and observation, so that the results will be analyzed in risk and the priorities are in terms of People, Process, Product in order to implement information technology service management well. Keywords: IT Service Management (ITSM), InfrastructureTechnology Information Library (ITIL), Service Design, Risk Analysis.
Research Progress of Correlation Between Toxic-Heat-Blood-Stasis Syndrome and Inflammation

Through summarizing the literatures concerning basic and clinical study on the correlation between toxic-heat-blood-stasis syndrome and inflammation,reviewing close correlation of toxic-heat-blood-stasis syndrome with serum interleukin-6,tumor necrosis factor-alpha and interferons,it was found that clearing away heat and toxic material and promoting blood circulation and removing stasis approaches could effect vitally in clinical treatment of inflammation,and the inflammation reaction shows certain effect of mediation in animal model of toxic-heat-blood-stasis syndrome.Accordingly,the important role played by inflammatory reaction in the occurrence and development of toxic-heat-blood-stasis syndrome is summarized in the paper.
Segmentation and visualisation MR images of the human brain

Segmentation and visualisation of anatomical regions of the brain are fundamental problems in medical image analysis. In this paper, we present a fuzzy-logic segmentation system that is capable of segmenting magnetic resonance (MR) images of a human brain. The presented method consists of two main stages: histogram thresholding and pixel classification using a rule-based fuzzy logic inference. After the segmentation is complete, attributes of different tissue classes may be determined (e.g., volumes), or the classes may be visualised as spatial objects. The implemented system provides many advanced 3D imaging tools.
"DIRECTUS 1.0: MAKING ANALYSIS SIMPLE" A UNIQUE AMALGMATION OF GENETIC DISORDER DATABASE WITH SEQUENCE ANALYSIS TOOLS

'Directus' is a web based specially designed software which encompasses the basic needs of a Bioinformatician during analysis of primary sequences. Directus has been designed and created by using PERL, PERL-CGI, and HTML coding in Dreamweaver. This unique software can be used for computing various parameters used in NUCLEOTIDE ANALYSIS, AMINO ACID RESIDUES, and READING FRAMES. Directus, comes with its own specialized database on GENETIC DISORDERS. This database besides providing details about any particular genetic disorder also provides information about the type of mutation and the chromosome being affected by the respective genetic disorder. The current version comes with more than fifteen analysis tools and provides an overall picture of more than fifty genetic disorders. The next releasing versions will come with databases about viral infection databases, eye disorders databases etc. and also the analysis tools will increase to PRIMER
click on paper title to view Visual Supplement . Please click on paper title to view a Visual Supplement .

In a WCDMA FDD system, since the transmitter and receiver operate concurrently, the receiver is plagued by the transmitter leakage due to finite isolation of antenna duplexer. As a consequence, the transmitter noise at the receive band degrades the sensitivity, unless the noise is further attenuated before reaching the receiver. Due to the modest Q of on-chip inductors, typically the use of a costly SAW filter placed before the PA is inevitable. On the other hand, the external filter may be eliminated through sufficiently lowering the transmitter noise for any given duplexer [13]. However, given the power-noise trade off, in all previous designs due to the lack of an on-chip filtering mechanism, meeting the stringent noise requirement has resulted in an excessive transmitter power dissipation. To address these issues, a feedback-based filtering technique to suppress the receive-band noise with negligible area or power penalty is presented. Compared to the previously published work, while achieving a superior or comparable SNR, this design has 2-to-3 times lower power dissipation [1-3].
Monitoring and control system in BHS of Changchun longjia airport based on PLC

The baggage system plays an important role in the whole airport system.The basic structure of the monitoring and control system in the BHS are introduced.The executable method of the system is described in detail.Finally,the system set up a workstation witch takes PLC as the core,with the Ethernet to connection,computer is used to programming,configuration,maintain,watching,supervision.Use this workstation to resolving the control and watch at BHS,to make the integration of BHS and monitoring and control system.With this the baggage processing system successful in used,the intension of the vindicators is reduced.It also can maintain the function safety.More economic results and community results are obtained.This system has been used at Changchun airport,Dalian airport and other international airports.
Review Dietary phytoestrogens and health

The interest in the potential health effects of dietary phytoestrogens has increased with the findings that hormone replacement therapy is not as safe or effective as previously thought. This review summarizes the dietary sources of the phytoestrogens; isoflavonoids, stilbenes, coumestans and lignans. It also examines 105 clinical studies related to effects of phytoestrogens on bone density, cardiovascular health, cancer prevention, cognitive ability and menopausal symptoms. # 2004 Elsevier Ltd. All rights reserved.
Feel Effects

Despite a long history of use in communication, haptic feedback is a relatively new addition to the toolbox of special effects. Unlike artists who use sound or vision, haptic designers cannot simply access libraries of effects that map cleanly to media content, and they lack even guiding principles for creating such effects. In this article, we make progress toward both capabilities: we generate a foundational library of usable haptic vocabulary and do so with a methodology that allows ongoing additions to the library in a principled and effective way. We define a feel effect as an explicit pairing between a meaningful linguistic phrase and a rendered haptic pattern. Our initial experiment demonstrates that users who have only their intrinsic language capacities, and no haptic expertise, can generate a core set of feel effects that lend themselves via semantic inference to the design of additional effects. The resulting collection of more than 40 effects covers a wide range of situations (including precipitation, animal locomotion, striking, and pulsating events) and is empirically shown to produce the named sensation for the majority of our test users in a second experiment. Our experiments demonstrate a unique and systematic approach to designing a vocabulary of haptic sensations that are related in both the semantic and parametric spaces.
Design criteria of high performance synchronous reluctance motors

The main problems related to the design of a synchronous reluctance servomotor are examined. The most suitable rotor structure is identified among different alternatives. A simplified but general algorithm is found for calculating the internal optimized anisotropy ratio. Optimization algorithms are given regarding minimization of the q-axis magnetic flux and maximization of torque for given outside diameter and power dissipation capability. A maximum torque design is illustrated in the general case, practical involvements of this design are pointed out and discussed. <<ETX>>
A Fully Integrated Low Power Transmitter in an 802.11bTransceiver System

A fully integrated low power transmitter for an IEEE 802.11b transceiver system is implemented in SMIC 0. 18μm technology.The direct-conversion transmitter includes two Chebyshev I low pass filters,two PGAs,a SSB mixer,and a PA driver.The transmitter provides a gain control of 32dB in 3dB steps.The maximum output power is -3.4dBm and the EVM is 6.8%. The power consumption of the transmitter is only 57.6mW with a 1.8V power supply.The chip area of the transmitter is 1.6mm×1.6mm.
Towards automatic music recommendation for audio branding scenarios

Within the MIR community, most prediction models of musical impact on listeners focus on mood or emotional effects (perceived or induced). The ABC_DJ project investigates the associative impact of music on listeners from the specific perspective of music branding that surrounds us in our everyday lives. We present a general concept for applying automatic music recommendation within this domain. Creating a scientifically validated basic terminology for communicating brand attributes and human emotions in this field is the key challenge. As a first result, we introduce the Music Branding Expert Terminology (MBET), a comprehensive terminology of verbal attributes used in music branding, upon which a prediction model will be developed to facilitate automatic music recommendation in the context of music branding.
Real-Time Identification of Power Fluctuations Based on LSTM Recurrent Neural Network: A Case Study on Singapore Power System

Fast and stochastic power fluctuations caused by renewable energy sources and flexible loads have significantly deteriorated the frequency performance of modern power systems. Power system frequency control aims to achieve real-time power balance between generations and loads. In practice, it is much more difficult to exactly acquire the values of unbalance power in both transmission and distribution systems, especially when there is a high penetration level of renewable energies. This paper explores a deep learning approach to identify active power fluctuations in real-time, which is based on a long short-term memory recurrent neural network. The developed method provides a more accurate and faster estimation of the value of power fluctuations from the real-time measured frequency signal. The identified power fluctuations can serve as control reference so that the system frequency can be better maintained by automatic generation control, as well as emerging frequency control elements, such as energy storage system. A detailed model of Singapore power system integrated with distributed energy storage systems is used to verify the proposed method and to compare with various classical methods. The simulation results clearly demonstrate the necessity for power fluctuation identification, and the advantages of the proposed method.
Design of Dynamic Positioning Control System for an ROV with Unknown Dynamics Using Modified Time Delay Estimation

Article History: Received: 31 Oct. 2018 Accepted: 27 Feb. 2019 In this paper, a control system is designed for dynamic positioning of an ROV with unknown dynamics, subject to external disturbances using passive arm measurements. To estimate uncertain dynamics and external disturbances, a new method based on time delay estimation (TDE) is proposed. The proposed TDE, not only maintains the advantages of conventional TDE, but also eliminates its sensitivity to sensor noise and fast-varying external disturbances which in turn, results in smooth control signal. The proposed control system is considered as a nonlinear PD-type controller together with feedforward of estimated dynamics and disturbances. This structure presents good performance against uncertainties and external disturbances which is guaranteed via stability analysis presented. To evaluate the performance of proposed TDE, simulations are conducted and comparison are made with conventional TDE. Besides, the performance of the proposed control system is compared with conventional time delay controller (TDC) and PID controller to verify its performance. Simulations show high accuracy and superior performance of the proposed control system.
Joint Two-Tier Network Function Parallelization on Multicore Platform

As network function virtualization (NFV) is realized based on general-purpose processors for avoiding proprietary hardware, its benefits of flexibility and agility could be compromised by the increased packet latency and reduced throughput. An effective approach for improving the latency and throughput performance is to exploit new network function (NF) processing framework on general purpose processors. In this paper, we propose a new joint two-tier NF parallelization (TNP) framework, which can agilely and flexibly organize parallel NF processing to greatly improve the latency and throughput performance of service function chain (SFC) which is constituted by a set of NFs. In TNP, we jointly organize the parallelization of multiple NFs at the service tier and perform multicore mapping of individual NFs at the substrate network tier. We formulate the optimal TNP design problem as minimizing link bandwidth consumption subject to end-to-end latency and computing resource constraints. We solve the problem by decomposing it into two easier subproblems: 1) subproblem 1 (SP1) is to solve the optimal SFC parallelization graph design in conjunction with link mapping problem and 2) subproblem 2 (SP2) is to jointly solve computing resource allocation in conjunction with node mapping problem. The global optimal solution is accomplished by searching in a set of feasible regions in sequence. Numerical results demonstrate that our proposed TNP can significantly decrease service latency and improve network throughput compared with known single layer NF parallelization schemes. Moreover, the link bandwidth utilization and SFC request acceptance rate in the substrate network can also be greatly improved.
Lead time reduction by optimal test sequencing

Het testen van machines neemt in het huidige ontwerp en productie fases binnen ASML ongeveer 30-50% van de totale doorlooptijd in. Om deze tijd te verkorten, worden er test strategieen gemaakt. Een van de belangrijke onderdelen van zo een test strategie is de test volgorde, oftewel de volgorde waarin testen worden uitgevoerd. Deze test volgordes worden op dit moment nog gemaakt door experts, maar zijn alles behalve optimaal voor tijd. In deze presentatie zullen we een methode laten zien die in staat is om automatisch een tijd optimale test volgorde te bepalen. De methode bepaalt een test volgorde met behulp van een model van het test probleem. De methode bepaalt een volgende test op basis van de uitkomst van een vorige test. Uiteindelijk zijn er vele mogelijke test volgordes, waarvan de kortste wordt gekozen.Om de doorlooptijd verkorting van deze methode te laten zien, is deze methode toegepast op een aantal test problemen voor een ASML TWINSCAN systeem. De gesimuleerde gemiddelde test tijd reductie is meer dan 20%, wat gelijk staat aan een doorlooptijd verkorting van 6-10%.