bluuebunny/crossref_metadata_2025 huggingface dataset:
Cyber-Physical System of a Solid Oxide Fuel Cell/Micro Gas Turbine Hybrid Power Plant
Authors: Marcellan Anna , Abrassi Alessio , Tomberg Marius
Published: August 2019

A hybrid power plant combining a solid oxide fuel cell (SOFC) and a micro gas turbine (MGT) is a suitable technology solution for decentralized energy production utilizing natural gas and biogas. Despite having high electrical efficiency and low emissions, the dynamic interactions between components can lead to damages of the system if a comprehensive control strategy is not applied. Before building a coupled hybrid power plant demonstrator, the “hybrid system emulators” approach is followed to solve any integration issues. A test rig consisting of an MGT and emulated SOFC is developed. The dynamics of the SOFC are reproduced by a real time model. The created cyber-physical system provides an effective platform to validate and optimize the control concepts for the future hybrid demonstrator by adding the complexity of the hybrid plant to the MGT test rig. The ability to develop and test the control strategy on such a system dramatically reduces the technology risk and increases the chances of success for the demonstrator operation.
Control Strategies for solar façade panels coupled with a Heat Pump and interacting with a District Heating Network
Authors: Rattazzi D. , Rossi I. , Magistri L. , Erich S.J.F.
Published: August 2019

This work aims to understand the potential of an innovative technology for solar energy harvesting in a District Heating Network (DHN). The considered technology is aesthetic solar façade thermal panel. In order to guarantee the temperatures required by a 3rd generation DHN (around 75°C), a Heat Pump, using as cold source the heat from the panels, is necessary. It is worth noting that the coupling between façade panels and Heat Pump requires accurate evaluations. The optimum condition for the façade panels is to work at low temperatures (close to ambient or even below), while the Heat Pump reaches high Coefficient Of Performance (COP) when the temperature difference between hot and cold sources is minimized. In the first part of the study, a system model has been built using Matlab SIMULINK using results of tests on the panels already performed inside the H2020 ENVISION project. Different colours are considered. In the second part, a predictive mode-based strategy has been defined and tuned on the system in order to guarantee the best system performances in interaction with the DHN. This work will allow to understand whether this technology is feasible in the presented scenario and this layout can improve local energy exchange.
An optimisation of the hybrid renewable energy systems
Authors: Jaszczur Marek , Hassan Qusay , Palej Patryk
Published: August 2019

In this work, we focus on utilization of hybrid renewable energy system for a residential load based in two different optimisation criteria. The presented system utilises photovoltaic modules wind turbines and batteries as energy storage. The analyses were carried out based on experimental measurements, for the electrical load, local solar radiation, wind speed and other environmental parameters. The optimisation process has been performed based on two aspects economic and ecological. The novelty of this work to find the relationship between two optimisation objectives.
Progressive facial hemiatrophy (Parry-Romberg syndrome): short case report
Authors: Puidupin Alexandre , Desoutter Aline , Deneuve Sophie , Nokovitch Lara , Chaux-Bodard Anne-Gaëlle
Published: August 2019

Introduction: The Parry Romberg syndrome (PRS) is a mosaic disease of unknown aetiology which mostly affects women. The facial hemiatrophy generally begins during the early childhood. It has a great impact on social life, and aesthetic rehabilitation is a major challenge. Observation: A 38 years-old-female patient presented with an enucleation of the left eye, due to multiple hamartomas and progressive facial hemiatrophy. The placement of 2 extraoral implants was proposed to bear an ocular epithesis. Comments: PRS develops between the 2nd and 20th year of life, and stabilizes at the adult age. Its main characteristic is a progressive facial hemiatrophy, which involves skin, fat tissues, muscles and osteocartilaginous tissues. 20% of patients have neurological symptoms, and epilepsy is often described as a side effect of the disease. Conclusion: Diagnosis of localized scleroderma has to be eliminated, as these 2 entities are very similar. Major facial reconstructive surgery is often proposed to restore aesthetics.
Financing models of vocational education and its impact on the economy: Problems and perspectives
Authors: Abuselidze George , Beridze Lasha
Published: August 2019

Vocational education and related financial support are one of the priorities of the countries policy at the present stage. Education is the fundamental foundation that is necessary for development of the world. While the deterioration of the socio-economic situation in transition in Georgia, inadequate economic policies, the adoption of inappropriate employment decisions, the use of models used by developed countries, and many others, caused the departure of vocational education space in the country. In the survey is studied vocational education financing models of developed countries and the education policy of Georgia. The research process uses the qualitative and quantitative method of data collection. The work is undertaken in depth research of the current model of funding of vocational education programs, analysis and relevant conclusions.
Team based learning in medical education
Authors: Gayef Albena
Published: August 2019

Team based learning is an active, student-centered method applied in a group of 5-7 students with the management of a single trainer who is a specialist. There are three stages in the team based learning method: preparation, display of readiness and implementation. Team based learning is an active learning strategy in medical education. In this study, the structure and basic principles of team based learning, the steps of the method and assessment and evaluation are discussed.
Alternative educational methods for teaching traditional art and architecture to Romanian children raised abroad
Authors: Povian Cristina Maria
Published: August 2019

This paper presents alternative methods used for helping Romanian children who live abroad to discover and to keep their interest in their original country culture. The aim of this article is to analyze the existing situation of this category of children in Europe and in Italy and the existing programs which are already implemented and the outcomes in 2018. This article focuses on presenting also an architectural workshop as an alternative method of teaching and learning, realized in April 2018, in Padova, Italy with Romanian children who were born or are living in Veneto region since they were very small. The analysis of the experiment reveals that alternative methods of teaching Romanian culture, art and architecture makes the process of learning interesting and easy to be approached by children of any age and they feel more attracted to participate in this kind of activities.
The place of Cyprus traditional child games in contemporary education
Authors: Şevket Öznur , Ejdan Sadrazam
Published: August 2019

Since the beginning of mankind, games, as multi-purpose activities, have taken place and will continue to function as so in many fields, such as cultural transmission, recognition of traditions, education etc. Traditional games widely adapted by each society are quickly abandoned under the threat of modern technological developments and some are completely forgotton. Some of these traditional games, however, are of particular importance and still preserve their educational values. Particularly the conscious and volitional efforts put into preventing their existence will help the new generations develop contemporary skills which cannot be adapted particularly by electronic games. The aim of this study is to raise suggestions to indicate the educational values and the proper application of some of the child games with exceptional importance among the all.
Health Education in the educational field with young people in vulnerable situations
Authors: Pedrero-García Encarnación , Cejudo-Cortés Aránzazu , Cejudo-Cortés Rosario , Corchuelo-Fernández Celia
Published: August 2019

This article is part of an investigation carried out in Spain by the Spanish League of Education of public utility (2018) in which the difficulties, methodologies and good practices in Education for Health, within the educational field with young people in vulnerable situation are presented. A mixed, quantitative-qualitative methodology was applied in which 458 professionals from 97 Secondary Education centres were interviewed in 32 localities in five autonomous communities. One of the main findings of the research is the relationship established with certain variables and the curricular-transversal approach to health issues in schools: gender, age, position, subject taught and territory definitely influence this approach. Thus, teaching biology, physical education or ethics, occupying positions of orientation or direction, presenting an age higher than the average or being a woman is related to presenting a broader vision of health and making a curricular approach to it.
Comparison of the ICT literacy level of the entering students in the Mexican and Serbian higher education
Authors: Kiss Gabor , Gastelu Carlos Arturo Torres , Godo Zoltan , Szucs Endre
Published: August 2019

Communication and technology have an important role in life and especially in education. Nowadays, students generally use technology for communication. When using technology in education, there may be some communication barriers. An international comparison analysis tool is an effective way for understanding the situation between two or more different regions of the world. In this sense, literature shows the relevance of analyzing how ICT has been used in education to better understand educational strategies, learning methods and pedagogical techniques in order to effectively apply ICT in the classroom. The purpose of this study is to identify the levels of ICT Competencies of students from two countries, from two continent, one in Serbia (in Europe) and the other in Mexico. We have to see the ICT knowledge level of the students to make decision about the application and retraining methods.
The information security awareness of the Slovakian kindergarten teacher students at starting and finishing the study in higher education
Authors: Kiss Gabor
Published: August 2019

In this paper we have analysed the changing of the kindergarten teacher-education students' awareness of information security at J. Selye University in Slovakia. Because there are sensitive data about children stored in the kindergarten (e.g. home address, parents' details, medical records, etc.), it deeply matters how careful is the data stored. Thorough data protection is important in order to avoid the digitally stored information to be viewable by other persons, who can use them for malicious purposes (e.g. social engineering, kidnapping, murder). This requires appropriate care and protection of storage and handling. In our research we wanted to know what level of information security awareness characterizes the kindergarten teacher-education students, whether they are aware of the basic data protection aspects. We want to see the higher education without any information security course have gained the information security awareness of the kindergarten teacher-education students or not.
Eiskalt erwischt
Authors: Brenke Rainer
Published: August 2019

Nach den Wegbereitern Hahn und Prießnitz verhalf Sebastian Kneipp der Hydrotherapie zum Durchbruch und entwickelte bis heute gültige Indikationen und Verfahren. Zu den gebräuchlichsten Wasseranwendungen zählen (Teil-)Bäder, Güsse und Auflagen, aber auch Sauna, Dampfbad und Eisbehandlungen, wobei Kälte – häufig auch im Wechsel mit Wärme – den wirksamsten Reiz liefert. Zu den häufigsten und aussichtsreichsten Behandlungsfeldern zählen Frösteln, chronische Müdigkeit, Infektanfälligkeit, Atemwegsinfekte, Fieber, kardiovaskuläre Störungen und Gelenkerkrankungen.
Da geht noch MEER
Authors: Breyer Ingrid M.
Published: August 2019

Die Thalassotherapie unterstützt alle Körpersysteme mit den Elementen des Meeres, zum Beispiel durch erwärmtes Meerwasser und das Seeklima. Zu den Indikationen gehören unter anderem Stress-, Atemwegs- und rheumatische Erkrankungen.
Dreimal Wasserdost
Authors: von Löwensprung Natalie Rosenhauer
Published: August 2019

Eupatorium cannabinum, E. purpureum und E. perfoliatum: Die drei Wasserdost-Arten sind in der Homöopathie bei fieberhaften Infekten angezeigt. In der Phytotherapie verwendet man hingegen nur E. perfoliatum.
Von Diurese bis Entzündungshemmung
Authors: Stern Cornelia
Published: August 2019

Die Gemmotherapie nutzt das junge, teilungsaktive Pflanzengewebe der Knospen und verfügt damit über wertvolle Inhaltsstoffe, die in fertig ausgebildeten Pflanzenteilen nicht vorkommen. Zu den wichtigsten Nierenmitteln der Gemmotherapie zählen Birke, Esche, Pappel, Wacholder und Preiselbeere, die insbesondere als Diuretika und Antiphlogistika wirken. Knospenpräparate haben sich insbesondere bei akuten oder rezidivierenden Blasenentzündungen sowie begleitend bei Nierenstörungen und Gicht bewährt.
A tomografia computadorizada melhora a reprodutibilidade na classificação das fraturas transtrocanterianas?
Authors: Alexandre Murilo , Polesello Giancarlo Cavalli , Cavassani Neto Edio , Rabelo Nayra Deise dos Anjos , Queiroz Marcelo Cavalheiro de , Ricioli Junior Walter
Published: August 2019

Com o envelhecimento populacional, houve um aumento significante da prevalência das fraturas do quadril, com alto índice de mortalidade, de sequelas, e alto custo. Compreender o perfil da fratura e classificá-la de forma correta é fundamental para definir o tratamento adequado. Diversas classificações radiográficas foram desenvolvidas para as fraturas transtrocanterianas, tais como as de Tronzo, de Evans-Jensen, de Boyd-Griffin e AO, porém sua reprodutibilidade nem sempr é satisfatória. O presente trabalho objetivou analisar se o acréscimo da tomografia computadorizada (TC)implica em maior reprodutibilidade do que a radiografia simples na classificação das fraturas transtrocanterianas e se esta é melhor para a identificação do traço de fratura. Foi realizada uma pesquisa nas bases de dados PubMed, Lilacs, Scielo e Cochrane entre julho de 2016 e junho de 2017, limitada aos últimos 15 anos. Todos os trabalhos retrospectivos, prospectivos e revisões sistemáticas publicados na língua inglesa, com avaliação de homens e/ou de mulheres, foram considerados para a revisão. Foram excluídos relatos de casos, estudos que avaliaram de forma isolada a TC ou radiografias e estudos duplicados. A pesquisa apresentou 112 artigos, dos quais 5 preencheram os critérios propostos. A reprodutibilidade para a classificação das fraturas transtrocanterianas apresentou resultados variáveis e influenciados por fatores como o tipo de classificação, o uso da classificação simplificada ou completa, a especialidade do avaliador, a experiência e a metodologia proposta pelos trabalhos. Há indícios de que há algum benefício para o uso da TC, sobretudo para fraturas consideradas instáveis, porém sua utilização como ferramenta para garantir uma melhor reprodutibilidade (intra- e interobservador) ainda permanece controversa e carece de mais estudos.
Compressing physics with an autoencoder: Creating an atomic species representation to improve machine learning models in the chemical sciences
Authors: Herr John E. , Koh Kevin , Yao Kun , Parkhill John
Published: August 2019

We define a vector quantity which corresponds to atomic species identity by compressing a set of physical properties with an autoencoder. This vector, referred to here as the elemental modes, provides many advantages in downstream machine learning tasks. Using the elemental modes directly as the feature vector, we trained a neural network to predict formation energies of elpasolites with improved accuracy over previous works on the same task. Combining the elemental modes with geometric features used in high-dimensional neural network potentials (HD-NNPs) solves many problems of scaling and efficiency in the development of such neural network potentials. Whereas similar models in the past have been limited to typically four atomic species (H, C, N, and O), our implementation does not scale in cost by adding more atomic species and allows us to train an HD-NNP model which treats molecules containing H, C, N, O, F, P, S, Cl, Se, Br, and I. Finally, we establish that our implementation allows us to define feature vectors for alchemical intermediate states in the HD-NNP model, which opens up new possibilities for performing alchemical free energy calculations on systems where bond breaking/forming is important.
Hybrid plasmonic waveguide coupling of photons from a single molecule
Authors: Grandi S. , Nielsen M. P. , Cambiasso J. , Boissier S. , Major K. D. , Reardon C. , Krauss T. F. , Oulton R. F. , Hinds E. A. , Clark A. S.
Published: August 2019

We demonstrate the emission of photons from a single molecule into a hybrid gap plasmon waveguide. Crystals of anthracene, doped with dibenzoterrylene (DBT), are grown on top of the waveguides. We investigate a single DBT molecule coupled to the plasmonic region of one of the guides and determine its in-plane orientation, excited state lifetime, and saturation intensity. The molecule emits light into the guide, which is remotely out-coupled by a grating. The second-order autocorrelation and cross-correlation functions show that the emitter is a single molecule and that the light emerging from the grating comes from that molecule. The coupling efficiency is found to be βWG = 11.6(1.5)%. This type of structure is promising for building new functionality into quantum-photonic circuits, where localized regions of strong emitter-guide coupling can be interconnected by low-loss dielectric guides.
Mechanisms of inhomogeneous broadening in InGaN dot-in-wire structures
Authors: Teng Chu-Hsiang , Zhang Lei , Deng Hui , Ku Pei-Cheng
Published: August 2019

Inhomogeneous broadening of semiconductor nanostructures results from structural and chemical variations between different nanostructure entities. Inhomogeneous broadening can have profound impacts on the optical properties of a nanostructure array. In this work, various inhomogeneous broadening mechanisms in wurtzite InGaN/GaN dot-in-wire (DIW) structures were investigated, both experimentally and theoretically. Using lithographically defined nanostructures, the microscopic variations including random alloy fluctuations and atomic-scale thickness fluctuations can be isolated from macroscopic variations such as size, shape, and alloy nonuniformity. An epitaxial InGaN/GaN quantum well sample was patterned into an array of sparsely spaced dot-in-wire structures and measured by confocal microphotoluminescence (PL) at 10 K. Both static (photon energy) and dynamic (carrier lifetime) properties were measured. The PL measurement results were compared to a theoretical model based on the k-dot-p method under the effective mass approximation and including the excitonic effect and surface recombinations. Random alloy fluctuations, atomic-scale thickness fluctuations, and size variations of the quantum dots were separately analyzed. It was found that both the diameter variation and random alloys dominate the inhomogeneous broadening of photon energies, while the random alloys dominate the inhomogeneous broadening of decay rates. The piezoelectric field in InGaN materials plays a minor role in increasing the effect of random alloys but helps suppress the inhomogeneous broadening due to well-width fluctuations by keeping the electrons toward the center of the dots.
DC-driven atmospheric pressure pulsed discharge with volume-distributed filaments in a coaxial electrode system
Authors: Bálek R. , Klenivskyi M.
Published: August 2019

A nonthermal atmospheric pressure plasma source based on a dc-driven intermittent spark discharge in a coaxial electrode configuration with volumetrically distributed discharge filaments is presented. Spreading the intermittent spark discharge over the volume of the cylindrical discharge chamber is achieved owing to the mutual action of acoustic and magnetic fields on the discharge. The magnetic field scans discharge filaments over the cross section of the cylindrical electrode, while the acoustic field spreads the discharge along the electrode. Electrical parameters and characteristics of the developed nonthermal atmospheric pressure plasma source with volumetrically distributed plasma microchannels are presented.
The Poole-Frenkel laws and a pathway to multi-valued memory
Authors: Patmiou Maria , Niraula D. , Karpov V. G.
Published: August 2019

We revisit the mechanism of Poole-Frenkel nonohmic conduction in materials of nonvolatile memory. Percolation theory is shown to explain both the Poole and Frenkel dependencies corresponding to the cases of small and large samples compared to the correlation radii of their percolation clusters, respectively. The applied bias modifies a limited number of microscopic resistances forming the percolation pathways. That understanding opens a pathway to multivalued nonvolatile memory and related neural network applications.
Study on the effect of re-deposition induced by ion beam etching on MTJ performances
Authors: Ji MinHui , Pan Long , Hu Yueguo , Pan Mengchun , Yang Lan , Peng Junping , Qiu Weicheng , Hu Jiafei , Zhang Qi , Li Peisen
Published: August 2019

Magnetic tunnel junction (MTJ) as a key spintronics device can be used for the high-sensitivity magnetic field sensor and high-density non-volatile magnetic random access memory (MRAM). To obtain a high tunneling magnetoresistance (TMR), precise control of the etching process for MTJs is an essential step. In order to investigate the effect of the etching angle on the performance of MTJ devices, a series of MTJ pillars are fabricated by etching with the incidence angle of 10°, 20° and 30°. The prepared samples are characterized by the optical microscopy and SEM, and the R-H curves are also measured and then statistically analyzed. The results reveal that the performance of the MTJ is strongly affected by the IBE process, displaying the uniformity of the pillars edge and MTJ performance will improve as well with the increase of the etching angle. Then, a simplified model based on the re-deposition effect of the etching process is established to explain the experimental phenomena. Furthermore, a newly defined material parameter is introduced in this model and obtained with fitting the experimental results. This proves a valuable way to evaluate the quality of the MTJ stack film without the interference of the device fabrication process.
Electric fields and concentrations of charged and neutral hydrogen isotopic particles in the plasma of low pressure DC discharge
Authors: Bernatskiy A. V. , Kochetov I. V. , Lagunov V. V. , Ochkin V. N.
Published: August 2019

This paper presents the results of experimental and theoretical studies of the electric discharge characteristics and the concentration dependences of water isotopomers (H2O, HDO, and D2O) in a glow discharge in mixtures of helium with water vapor and molecular deuterium depending on the initial concentrations of H2O and D2. Measurements of the H2O and HDO concentrations were carried out by absorption diode laser spectroscopy in parallel with measurements of the axial electric field. The calculations were performed using a homogeneous kinetic model including balance equations for neutral and charged particles, which are solved together with the Boltzmann equation for the electron energy distribution function in the two-term approximation and the equation for the external electric circuit. A comparison was made of the experimental and calculated values of the concentrations of H2O and HDO, the stationary values of the electric field strength, and the discharge current. All abovementioned experimental parameters showed satisfactory agreement with the calculations. It was found that in self-consistent calculations, as well as in the experiment, the ratio of the concentrations of H2O and HDO was the same for different proportions of the initial concentrations of H2O and D2, and this ratio remained the same during the discharge action.
2D optical materials and the implications for photonics
Authors: Jia Baohua
Published: August 2019

The successful exfoliation of monolayer graphene has triggered eruptive research and development efforts of two-dimensional (2D) materials in the formats of monolayers, bilayers, few layers, and heterostructures. With properties distinct from their bulk counterparts, 2D materials enable tightly confined light and phonons, unprecedentedly controlled electrons, spins, and excitons, which evoke fundamental new science and offer new paradigm technologies for highly integrated multifunctional optoelectronic devices. In this editorial, we briefly review the interesting new advances in the past few years and highlight the remaining challenges and identified opportunities. As a dedicated research journal serving the photonics community, APL Photonics eagerly looks forward to seeing more exciting findings in the 2D material photonics area to be disseminated in such an excellent platform over the coming years.
Molecular evolution of the switch for progesterone and spironolactone from mineralocorticoid receptor agonist to antagonist
Authors: Fuller Peter J. , Yao Yi-Zhou , Jin Ruitao , He Sitong , Martín-Fernández Beatriz , Young Morag J. , Smith Brian J.
Published: August 2019

Significance

The mineralocorticoid receptor (MR), the receptor for aldosterone, appears in evolution well before the appearance of terrestrial vertebrates, yet aldosterone emerges in vertebrates only with terrestrial life. Curiously, in fish, the MR sees progesterone and spironolactone as agonists, whereas in terrestrial species, they are antagonist at the MR. We have identified a unique single amino acid difference between the fish MR and the other vertebrate MR that mediates this switch, agonist to antagonist. This striking evolutionary event was perhaps mandatory if the appearance of aldosterone as a specific mediator of the homeostatic salt retention required for terrestrial life was to be tolerated. The conformational changes also provide insights into the structural basis of agonism versus antagonism in steroid receptors.
Microstructure stability and oxidation behaviour of (FeCoNiMo)90(Al/Cr)10 high-entropy alloys
Authors: Chen C. , Liu N. , Zhang J. , Cao J. , Wang L. J. , Xiang H. F.
Published: August 2019

Simple ordered L12 phase and complex ordered µ phase were found in the (FeCoNiMo)90Al10 alloy, while disordered FCC and µ phases were detected in the (FeCoNiMo)90Cr10 alloy. After annealing at 900°C, nano-size precipitates were observed in the L12 phase, and splitting and spheroidisation were occurred in some regions of the eutectic structures in the (FeCoNiMo)90Cr10 alloy. After holding for 100 h at 900°C, (FeCoNiMo)90Al10 alloy showed an excellent hardness resistance. The oxidation kinetics of both (FeCoNiMo)90Al10 and (FeCoNiMo)90Cr10 alloys followed a parabolic rate law at 900°C. An external layer of Al2O3 and an underlying MoO2 subscale were found in the (FeCoNiMo)90Al10 alloy. A semi-continuous oxide layer of MoO2 and Cr2O3 was observed in the (FeCoNiMo)90Cr10 alloy.
Early Career Advisory Board: Q&A on career and publishing
Authors: Marat Andrea
Published: August 2019

We interviewed our Early Career Advisory Board to learn about their experiences finding their academic position and managing a new laboratory, and their views on peer review and scientific publishing. An excerpted version is presented here and all other responses are found in the supplemental material.
Locality Kernel Canonical Variate Analysis for Fault Detection
Authors: Xiao Shujun
Published: August 2019

Most of the existing fault detection techniques merely consider the global structure information, but neglect the local structure details between different data points. However, local structure information plays an essential role in data mining and feature extraction. In this article, a locality kernel canonical variate analysis (LPP-KCVA) method for fault detection is proposed. This method inherits the merits of KCVA in coping with nonlinear as well as dynamic problems, and makes full use of the advantage of Locality Preserving Projections (LPP) in retaining local manifold structure. To demonstrate the accuracy of the LPP-KCVA approach, Tennessee Eastman process (TEP) is applied, and KCVA, KPCA methods serve as the reference. The outcome illustrates its power in fault detection.
Study on Reliability Calculation of Repairable System Based on Monte-Carlo Simulation
Authors: Chaowei Wang , Xun Hao , Qian Wu , Yutao Qie , Yuanyuan Fang
Published: August 2019

Nowadays, the complexity of engineering system grows with the higher requirement of quality. Reliability, one of the most important quality characteristics, has been drawn a lot of attention. The level of reliability decides whether the system can accomplish mission successfully or not, as well as the safety of system and operator. The reliability calculation (prediction) is the most important item in design phrase, as an approach to measure the reliability. There is much study which focuses on the unrepairable system, such as aircraft and satellite. The study presents a reliability calculation method for repairable system based on monte-carlo simulation. The inputs of reliability calculation, which are different from unrepairable system, are analysed firstly. Then, the simulation principles are introduced aiming at various reliability models. The effectiveness is verified through a case of vessel in the end, which shows the simulation calculation of repairable system is valid. It can make a contribution to the improvement of system reliability in design phrase and aid the developer to locate the weakness parts.
Scheduling Complexity of an Automated Cell Manufacturing Process
Authors: Kaowtain Jinjuta , Ku Hong-ming , Pasuwat Kwanchanok
Published: August 2019

Osteoarthritis is currently the most prevalent chronic joint disease and is expected to increase continually due to aging population and obesity epidemic. Many methods exist to treat this disease but the most promising one is cell-based therapy which uses chondrocyte cells. Chondrocyte cells are cultivated in an automated cell manufacturing system (ACMS). However, ACMS suffers from long idle time caused by incubation times required to cultivate cells in different samples in different incubators. But before optimization can be used to find an optimal schedule, the complexity of the ACMS scheduling problem is established. Parallel operation of the ACMS was able to process a maximum of 26 samples in a year, while sequential operation yielded only 14. Moreover, if we produce more sample in a year the number of different schedules will increase. Then, the problem has more complicated.
Research on Overall Evaluation Model for Traffic Transportation Efficiency of Equipment based on Rough Set Theory
Authors: Qian Wu , Chaowei Wang , Xiaowei Lu , Yingcheng Xu
Published: August 2019

On the basis of overall consideration on influence factors of traffic transportation efficiency of equipment, based on Completeness, Maneuverability, Rationality and Comparability, this paper proposes a safe, cost-effective, universal and timely evaluation index system for traffic transportation efficiency of equipment, puts forward a quantitative calculating approach for the weight of evaluation index system for traffic transportation efficiency of equipment and creates an overall evaluation model for traffic transportation efficiency of equipment based on rough set theory. The evaluation index system and evaluation model for traffic transportation efficiency of equipment proposed in this paper are quantitative calculation approaches to improve and evaluate traffic transportation efficiency of equipment, which paves the way for further research on traffic transportation efficiency of equipment.
An Entity Linking Method Based on Entity Category and Word Embedding
Authors: Ma HaiBo , Li Yue , Li Yang
Published: August 2019

Named entity linking is a process of linking a given reference in a document to a knowledge base. In natural language processing, entity linking can enhance the computer’s understanding of unstructured text data. Applying traditional entity linking methods, especially entity linking methods for person names and organization names, has its limitations. Similar vocabulary as an entity to be linked is difficult to make full use of its contextual semantic information for ambiguity elimination. This paper makes full use of the entity’s category attribute and the semantic information contained in the context to design an entity linking method based on entity category and semantic word embedding. First, Training text classification model based on corpus to obtain entity attributes. Then the semantic feature is extracted by the word vector template to perform entity disambiguation through the semantic classification model. Finally, the results of the entity linking are predicted by means of model ensemble. Experiments show that the accuracy of the method after fusion on the entity linking dataset has improved.
Sensor Based Affective Learning Information Process System for Intelligent Tutoring System
Authors: Sik Chung Kwang
Published: August 2019

As smartphones like televisions or cars are used every day and everybody, smartphones are used to access to digital content and various ICT services. Especially, smartphone is equipped with many types of sensors so that various multimedia content can use smartphone sensors. If users’ information through sensors would be analysed, users’ movement, emotion, and states can be inferred. Especially, on e-learning environment, students’ learning states can be decided by students’ information that are collected by smartphone sensors, since more than 90% of students of Korea National Open University have access to learning contents through their smartphones in mobile learning environment. However, previous researches focused on interactions between students and learning contents. And there are few methods, technology, and decision models for students to track their learning activity, learning interests, concentration and emotions. In this paper, we propose a learning reaction analysis state model and Student Activity Analysis System. In this research, sensed learning activity information is collected by sensors of smartphone. Students’ learning activity information can be classified into mandatory and optional information. In Student Activity Analysis System, students’ learning emotional state is decided by learning reaction analysis state model. The students’ learning emotional state could be used for intelligent tutoring system (ITS) that construct personal learning strategy. Since students’ learning activity information is collected and analyzed from the information technology viewpoint, it is possible to measure the concentration and interest of learning contents of students regardless of pedagogical model.
Construction and Application of MOOC Resources Database for Software Engineering Major Based on Integrable Ware
Authors: Yu Jiujiu , Zhang Jishan , Pan Liqiong , Wu Ning , Liang Yuefang
Published: August 2019

In recent years, the construction of MOOC (Massive Open Online Course) resources database has been paid more attention on MOOC research field. Based on the idea of integrable ware, MOOC elements are designed to form the corresponding MOOC learning knowledge points for some courses of software engineering major in a local university. They have the characteristics of openness, flexible and reusable. MOOC elements are fully applied in construction of the MOOC resources database on local campus for personalized learning effectively. The results show that teachers can select several different MOOC elements to form an important knowledge point for MOOC teaching process according to an actual course and reuse some existed MOOC elements to form another MOOC knowledge point for other courses. Different MOOC elements can be combined freely to form the related learning knowledge points for one course of software engineering major to stimulate and improve students’ interests in personalized learning. Finally, further work is put forward. Firstly, compatible supported conditions on software and hardware are to be created based on big data. Secondly, capacities on integrating and reusing of various types of MOOC resources by teachers should be improved. Thirdly, more reusable MOOC elements based on integrable ware for the courses of other majors should be designed and constructed for personalized learning.
Design and Implementation Method for Supporting Complex CAE Software System Module Development
Authors: Wang Xiaohui , Nie Xiaohua , Chang Liang , Duan Shihui
Published: August 2019

The use of customizable or combined modular software products to meet the growing personalization needs of users has become one of the major development directions of the software market in the future. Based on the modular design idea, a highly open CAE software architecture for HAJIF software system is proposed, and a special modular design method is clarified. According to the analysis process of aircraft structural strength, a spatial surface interpolation method based on RBF is proposed for the problem of distributed load transfer to finite element load on space curved structure. The problem is solved well and modularized. The modular design of CAE software is clear, and it can design the CAE system comprehensively, improve the development environment, shorten the development cycle, and have important significance for accelerating CAE software customization.
PHASE: An Environment for Parallel High-performance Agent-based Simulating
Authors: Guo Jiamin , Li Bo , Zhao Yingliang , Yu Yuan , Chen Zuolin
Published: August 2019

Agent-based simulation models have become an increasingly popular research and management tool in many different fields. However, most of the platforms are foreign, and there is no relevant public parallel simulation platform available in China. So it is necessary to construct a public high-performance parallel computing platform for Agent-based Simulation. This paper uses X10 language to design a highly scalable Agent-based simulation platform by using an asynchronous partitioned global address space model, and describes the construction principle and implementation process of the simulation platform from four core modules, the data organization and partitioning mechanism, Agent communication mechanism, simulation promotion mechanism and data collection mechanism. And we verified the correctness and feasibility of the simulation platform by running the classic GameOfLife model. Our work fills the gap that there is no public high-performance parallel simulation platform in China and contributes to the future research work.
Large-scale Agent Data Partitioning Based on DensityRepel-K_medoids
Authors: Wu Lingjuan , Liang Jie , Li Bo
Published: August 2019

Large-scale Agent data partitioning is the premise of parallel distributed computing in the process of ABMS (Agent-based Modeling and Simulation) . Based on the distance-based K_medoids clustering algorithm, this paper proposes an improved K_medoids algorithm (DensityRepel-K_medoids), which is implemented by high-performance programming language X10 and applied to large-scale Agent data partitioning simulation based on distance interaction. The DensityRepel-Kmedoids algorithm first determines the density value and the repulsion value of each Agent data in the Agent data set, and secondly pre-selects the cluster center according to the density value and the repulsion value of each Agent data, and finally uses the pre-selected cluster centers as the initial cluster centers for continuous iterative clustering until convergence. The algorithm avoids the defects of K_means clustering algorithm sensitive to outliers, and avoids the shortcomings of K_medoids clustering algorithm for large-scale data processing. By comparing and analyzing the simulation experiments of Agent data sets of different scales, the algorithm presents a better performance.
Stochastic Analysis of Downlink Heterogeneous Cellular Networks: Based on Spatial Hybrid Model
Authors: Ziyu Pan , Jie Yang , Nan Guo
Published: August 2019

In this paper, a hybrid model for heterogeneous cellular networks (HCNs) is proposed based on the differences in the distribution characteristics, path loss models and transmit power of macro and micro base stations (BSs). The macro base stations in HCNs are modelled as 2-D PPP which obeys certain parameters, and the small base stations are modelled as 3-D PPP. According to the stochastic geometry theory and the relevant knowledge of probability theory, the interference characteristics in HCNs are analysed, and the downlink coverage probability of the target users in the network are derived. Compared the hybrid interference model proposed in this paper with the traditional model, simulation shows that the hybrid interference model can illustrate the distribution characteristics of each kind of base station in HCNs more accurately, and the network performance based on model proposed in this paper is more accurate.
Virtual Void-Based Marine Organism Protection Routing Protocol for Underwater WSNs
Authors: Su Hao , Qian Yujie , Zhang Yuan
Published: August 2019

With the progress and development of the Internet of Underwater Things, underwater wireless sensor networks (UWSNs) have been showed as a promising technology to monitor and explore the oceans. Different from terrestrial WSNs, UWSNs adopts acoustic signals instead of radio frequencies for wireless communication. However, marine mammals’ frequencies are heavily overlapped with the frequencies used by UWSNs, where the noise of underwater acoustic networks (UAN) made by human may interfere with or even harm marine organism. In order to protect these marine organism, it is very necessary and urgent to develop an environment-friendly UAN and cognitive acoustic (CA) is considered as a promising technique. Based on this, aiming at not only protecting marine mammals, but also attaining optimal network performance, in this paper, we propose a virtual void-based marine organism protection routing (VMOPR) protocol for UWSNs, which is a location-based flow transmission scheme. Simulation results show that the performance of the scheme is better than the corresponding EEIAR and VBF protocol in terms of packet delivery ratio, throughput and energy efficiency when taking marine mammals into account.
Scale Adaptive Target Tracking Algorithm Based on Correlation Filtering
Authors: Lin Fajun , Wei Haiping , Qi Yuanchen , Li Qinqin
Published: August 2019

Focusing on the issue that the kernel correlation filter tracking method can not accurately adapt to the target scale change, a scale estimation method is added under the kernel correlation filter tracking frame, and a scale adaptive target tracking algorithm is proposed. The algorithm firstly uses the kernel function to obtain the kernel correlation filter, and estimates the position of the target for the candidate sample detection; then uses the scale estimation method to detect the target scale to further determine the optimal scale of the target to be tracked in the current frame; Finally, according to the occlusion judgment mechanism, the parameters of the target performance model and the scale model are updated online. The experimental results show that compared with kernel correlation filtering algorithm, the proposed algorithm can accurately target tracking process to adapt to changes in the target scale, and the center position error reduced by an average of 4.39 pixels.
Multi-focus Image Fusion Method based on Wavelet Transform
Authors: Tan Linglong , Chen Yehui , Zhang Wenju
Published: August 2019

In this paper, the wavelet decomposition of multi-focus images is used to fuse the low-frequency components and high-frequency components obtained after decomposition. In order to make more information of the original image in the merged image, the method of maximizing the coefficient and the method of maximizing the variance of the region mean when the high frequency coefficient is selected, and combining the average and the selection in the selection of the low frequency coefficient. The simulation experiment results and the objective evaluation index values show that the modification method can make up for the defects of the two original images and obtain a relatively complete and clear image.
Research on Image Compression Coding Technology
Authors: Tan Linglong , Zeng Yong , Zhang Wenju
Published: August 2019

Absrtact. Image compression technology is the basis of all kinds of media compression and transmission, and its compression effect is directly related to the compression effect of media. In this paper, four commonly used image compression coding methods, namely, undistorted Huffman coding, run-length coding, finite distortion predictive coding and transform coding, are used to compress still images, and the efficiency of each coding method is analyzed. The experimental results show that the two lossless compression coding methods have remarkable compression effect, but the compression efficiency is low. Although the compression ratio of lossy compression coding method is high, the decompressed image has certain distortion.
Recent results from RIBRAS (Radioactive Ion Beams in Brasil)
Authors: Lichtenthäler R , Lépine-Szily A , Guimarães V , Appannababu S , Santos O C B , Umbelino U , Serra A , Pires K C C , de Lara A L , Zevallos E O N , Scarduelli V , Assunção M , Alcántara-Núñez J
Published: August 2019

An overview of the experiments performed at RIBRAS over the last year is presented. Elastic scattering and breakup reactions induced by light exotic projectiles on different targets have been measured and some results are presented here for the 120Sn(6He, α) reaction. Resonant scattering experiments have been performed with 10Be and 12C secondary beams on a CH2 thick target and the well known 12C+p resonance was identified. A gamma-particle experiment using a new system of LYSO scintillators to detect gammas was done.
Effect of In and Cd co-doping on the thermoelectric properties of Sn1−xPbxTe
Authors: Roychowdhury Subhajit , Biswas Kanishka
Published: August 2019

Pristine tin telluride (SnTe) with a similar electronic structure to PbTe shows inferior thermoelectric performance owing to high p-type hole concentration (1021 cm−3), high lattice thermal conductivity, κlatt (∼2.8 W mK−1 at room temperature) and large energy gap between light and heavy hole valence bands. Interestingly, 30 mol% substitution of lead in SnTe decreases the excess hole carrier concentration and lattice thermal conductivity (∼0.67 W m−1K−1 at 300 K) significantly. Here, we report the promising thermoelectric performance in Sn0.70Pb0.30Te by enhancing the Seebeck coefficient via the co-adjuvant effect of resonant level formation and valence band convergence. We obtain a Seebeck coefficient value of ∼141 μV K−1 at 300 K, which further increases to ∼260 μV K−1 at 708 K for Sn0.70Pb0.30Te—3% Cd and 0.50% In sample. This is one of the highest S values for SnTe based system, to the best of our knowledge. In and Cd have discrete but complementary roles to augment the Seebeck coefficient value of Sn0.70Pb0.30Te where In acts as a resonant dopant and Cd serves as valence band convergent, respectively, as demonstrated by the well-known Pisarenko plot of SnTe. Finally, we have achieved a maximum thermoelectric figure of merit, zT, of ∼0.82 at 654 K for Sn0.70Pb0.30Te—3% Cd and 0.25% In sample.