bluuebunny/crossref_metadata_2025 huggingface dataset:
An Integrated Approach for Sustainable Supply Chain Management with Replenishment, Transportation, and Production Decisions
Authors: Lee Amy H. I. , Kang He-Yau , Ye Sih-Jie , Wu Wan-Yu
Published: October 2018

Sustainable supply chain management is important for most firms in today’s competitive environment. This study considers a supply chain environment under which the firm needs to make decisions regarding from which supplier and what quantity of parts should be purchased, which vehicle with a certain emissions amount and transportation capacity should be assigned, and what kind of production mode should be used. The integrated replenishment, transportation, and production problem is concerned with coordinating replenishment, transportation, and production operations to meet customer demand with the objective of minimizing the cost. The problem considered in this study involves heterogeneous vehicles with different emission costs, various materials with dissimilar emission costs, and distinct production modes, each with their own emission costs. In addition, multiple suppliers with different quantity discount schemes are considered, different kinds of vehicles with different loading capacities and traveling distance limits are present, and different production modes with different production capacities and production costs are included. A mixed integer programming model is proposed first to minimize the total cost, which includes the ordering cost, purchase cost, transportation cost, emission cost, production cost, inventory-holding cost, and backlogging cost, while satisfying various constraints in replenishment, transportation, and production. A particle swarm optimization model is constructed next to deal with large-scale problems that are too complicated to solve by the mixed integer programming. The main advantage of the proposed models lies in their ability to simultaneously coordinate the replenishment, transportation, and production operations in a planning horizon. The proposed particle swarm optimization model could further identify a near-optimal solution to the complex problem in a very short computational time. To the best of the authors’ knowledge, this is the first paper that considers the sustainable supply chain management problem with multiple suppliers, multiple vehicles, and multiple production modes simultaneously. Case studies are presented to examine the practicality of the mixed integer programming and the particle swarm optimization models. The proposed models can be adopted by the management to make relevant supply chain management decisions.
A Novel Framework for Sustainable Traffic Safety Programs Using the Public as Sensors of Hazardous Road Information
Authors: Chung Younshik , Won Minsu
Published: October 2018

Traditionally, traffic safety improvement programs (TSIPs) have been based on the number of crashes at a specific location or their severity. However, the crash datasets used for such programs are obtained from the police and include two limitations: not all crashes are collected by the police (most minor and near-miss crashes are not reported), and the traditional process uses crash data recorded for the past two or three years (meaning most data inevitably include a time lag). To overcome these limitations, this study proposes a new approach for a TSIP based on citizen participation through an online survey that is broadcasted through social media. The method uses the public as sensors of hazardous road information, which means that information can be collected on individual experiences of minor crashes and latent risk factors, such as near misses and traffic conflicts. To demonstrate this approach, a case study was carried out in a small district in the city of Goyang, Korea, which has one of the highest usage rates of social media technologies. The proposed method and a traditional method were both assessed.
New Stability Criterion for the Dissipative Linear System and Analysis of Bresse System
Authors: Ueda Yoshihiro
Published: October 2018

In this article, we introduce a new approach to obtain the property of the dissipative structure for a system of differential equations. If the system has a viscosity or relaxation term which possesses symmetric property, Shizuta and Kawashima in 1985 introduced the suitable stability condition called in this article Classical Stability Condition for the corresponding eigenvalue problem of the system, and derived the detailed relation between the coefficient matrices of the system and the eigenvalues. However, there are some complicated physical models which possess a non-symmetric viscosity or relaxation term and we cannot apply Classical Stability Condition to these models. Under this situation, our purpose in this article is to extend Classical Stability Condition for complicated models and to make the relation between the coefficient matrices and the corresponding eigenvalues clear. Furthermore, we shall explain the new dissipative structure through the several concrete examples.
Complexity Effective Sampling Frequency Offset Estimation Method for OFDM-Based HomePlug Green PHY Systems
Authors: Jung Yong-An , You Young-Hwan
Published: October 2018

The HomePlug Green PHY (HomePlug GP) specification provides an attractive solution to enable smart grid power line communication (PLC) applications by using robust orthogonal frequency division multiplexing (ROBO) mode. This paper proposes a computationally efficient sampling frequency offset (SFO) estimation technique in the HomePlug GP system without relying on pilot symbols. For this purpose, the proposed estimation scheme utilizes the redundant information contained within the repeat coding in the HomePlug GP ROBO mode, thus eliminating the need of dedicated pilots. Computer simulations are conducted to assess the performance of the proposed SFO estimation scheme and to compare it with the conventional decision-directed (DD) estimation schemes. Simulations indicate that the repeat coded ROBO signals are effectively used for the proposed estimation scheme, which provides an affordable estimation accuracy while reducing the complexity compared to the conventional DD estimation schemes.
Nuclear Power Plant Location Selection in Vietnam under Fuzzy Environment Conditions
Authors: Wang Chia-Nan , Su Chih-Chiang , Nguyen Van Thanh
Published: October 2018

The demands for energy in general and electrical power in particular in the process of industrialization–modernization in Vietnam are increasing. Although other renewable energy sources such as wind and solar power have been prioritized, they cannot compensate for the shortages of electricity in Vietnam; moreover, traditional energy sources in Vietnam are not endless and will soon reach exhaustion. Nowadays, the government has chosen a solution to maximize domestic energy resources, i.e., develop renewable energy combined with importing coal and gas in appropriate proportions with the construction of nuclear power plants (NPP), which may be the optimal solution to ensure energy security, environmental protection, and sustainable development. However, site selection for construction of a nuclear power plant is one of the most difficult decisions that management faces. Thus, the authors proposed multicriteria decision-making (MCDM), including a fuzzy analytic network process (FANP) and technique for order preference by similarity of an ideal solution (TOPSIS) for NPP location selection in Vietnam. In the first stages of this research, the weight of all criteria and subcriteria will be calculated by an ANP model using fuzzy logic. A TOPSIS model is proposed for ranking all potential locations in the final stage. The results reveal that Binh Thuan is the best place for building an NPP in Vietnam. The contributions of this research include a fuzzy multicriteria decision-making (F-MCDM) approach for NPP site selection in Vietnam. This research also utilizes the evolution of a new approach that is flexible and practical for the decision-maker and provides useful guidelines for NPP site selection in countries around the world.
The Smart Factory and Its Risks
Authors: Herrmann Frank
Published: October 2018

In this paper, the risks of a Smart Factory are to be examined and structured in order to be able to evaluate the status of the Smart Factory. This thesis thus serves as an overview of the technical components of a Smart Factory and the associated risks. The study takes a holistic view of the smart factory. The results show that the greatest need for action lies in the technological field. Thus, the topics of standardization, information security, availability of IT infrastructure, availability of fast internet and complex systems were prioritized. The organizational and financial risks, which also play an important role in a Smart Factory transformation, are addressed.
Development and Application of a Quantitative PCR Assay to Assess Genotype Dynamics and Anatoxin Content in Microcoleus autumnalis-Dominated Mats
Authors: Kelly Laura T. , Wood Susanna A. , McAllister Tara G. , Ryan Ken G.
Published: October 2018

Microcoleus is a filamentous cyanobacteria genus with a global distribution. Some species form thick, cohesive mats over large areas of the benthos in rivers and lakes. In New Zealand Microcoleus autumnalis is an anatoxin producer and benthic proliferations are occurring in an increasing number of rivers nationwide. Anatoxin content in M. autumnalis-dominated mats varies spatially and temporally, making understanding and managing proliferations difficult. In this study a M. autumnalis-specific TaqMan probe quantitative PCR (qPCR) assay targeting the anaC gene was developed. The assay was assessed against 26 non-M. autumnalis species. The assay had a detection range over seven orders of magnitude, with a limit of detection of 5.14 × 10−8 ng μL−1. The anaC assay and a cyanobacterial specific 16S rRNA qPCR were then used to determine toxic genotype proportions in 122 environmental samples collected from 19 sites on 10 rivers in New Zealand. Anatoxin contents of the samples were determined using LC-MS/MS and anatoxin quota per toxic cell calculated. The percentage of toxic cells ranged from 0 to 30.3%, with significant (p < 0.05) differences among rivers. The anatoxin content in mats had a significant relationship with the percentage of toxic cells (R2 = 0.38, p < 0.001), indicating that changes in anatoxin content in M. autumnalis-dominated mats are primarily related to the dominance of toxic strains. When applied to more extensive samples sets the assay will enable new insights into how biotic and abiotic parameters influence genotype composition, and if applied to RNA assist in understanding anatoxin production.
Novel Mitoviruses and a Unique Tymo-Like Virus in Hypovirulent and Virulent Strains of the Fusarium Head Blight Fungus, Fusarium boothii
Authors: Mizutani Yukiyoshi , Abraham Adane , Uesaka Kazuma , Kondo Hideki , Suga Haruhisa , Suzuki Nobuhiro , Chiba Sotaro
Published: October 2018

Hypovirulence of phytopathogenic fungi are often conferred by mycovirus(es) infections and for this reason many mycoviruses have been characterized, contributing to a better understanding of virus diversity. In this study, three strains of Fusarium head blight fungus (Fusarium boothii) were isolated from Ethiopian wheats as dsRNA-carrying strains: hypovirulent Ep-BL13 (>10, 3 and 2.5 kbp dsRNAs), and virulent Ep-BL14 and Ep-N28 (3 kbp dsRNA each) strains. The 3 kbp-dsRNAs shared 98% nucleotide identity and have single ORFs encoding a replicase when applied to mitochondrial codon usage. Phylogenetic analysis revealed these were strains of a new species termed Fusarium boothii mitovirus 1 in the genus Mitovirus. The largest and smallest dsRNAs in Ep-BL13 appeared to possess single ORFs and the smaller was originated from the larger by removal of its most middle part. The large dsRNA encoded a replicase sharing the highest amino acid identity (35%) with that of Botrytis virus F, the sole member of the family Gammaflexiviridae. Given that the phylogenetic placement, large genome size, simple genomic and unusual 3′-terminal RNA structures were far different from members in the order Tymovirales, the virus termed Fusarium boothii large flexivirus 1 may form a novel genus and family under the order.
Is the Groundwater in the Hunshandake Desert (Northern China) of Fossil or Meteoric Water Origin? Isotopic and Hydrogeochemical Evidence
Authors: Zhu Bing-Qi , Ren Xiao-Zong , Rioual Patrick
Published: October 2018

To gain an insight into the origin of groundwater in the Hunshandake Desert (HSDK), stable and radioactive isotopes and the major ion hydrochemistry of groundwater, as well as other natural waters, were investigated in this desert. The results showed that the groundwaters in the HSDK are freshwater (total dissolved solid (TDS) < 700 mg/L) and are depleted in δ2H and δ18O when compared with the modern precipitation. The major water types are the Ca–HCO3 and Ca/Mg–SO4 waters. No Cl-type and Na-type waters occurred in the study area. The ionic and depleted stable isotopic signals in groundwater, as well as the high values of tritium contents (5–25 TU), indicate that the groundwaters studied here are young but not of fossil and meteoric water origin, i.e., out of control by the modern and palaeo-direct recharge. A clear difference in the isotopic signals are observed between the groundwaters in the north and south parts of the study area, but the signals are similar between the groundwaters in the north HSDK catchment and its neighboring catchment, the Dali Basin. The topographical elevation decreases from the south (1396 m a.s.l.) to the north (1317 m a.s.l.) and the Dali (1226 m a.s.l.). Groundwaters in the north are characterized by lower chloride and TDS concentrations, higher tritium contents, higher deuterium excess, and more depleted values of δ2H and δ18O than those in the south. The spatial distribution pattern of these environmental parameters indicates a discrepancy between the hydraulic gradient of groundwater and the isotopic and hydrochemical gradients of groundwater in the HSDK, suggesting different recharge sources between the two parts in the desert. A combined analysis using the isotopic and physiochemical data of natural waters collected from the Dali Basin and the surrounding mountains was performed to investigate this problem. It indicates that groundwaters in the HSDK Desert are recharged from remote mountain areas (about 150–200 km to the east and southeast) but not from the north neighboring catchment.
Caractères géobarométriques du cristallophyllien épimétamorphique anté-alpin de Grande Kabylie (Algérie)
Authors: Bossière Gérard , Menegazzo-Vitturi Laura , Sassi Francisco Paolo
Published: October 2018

Analyses are presented of the 6-spacing value of 156 micas from two series of the low temperature zone of Grande Kabylie. The lower one so-called «schistes satinés» is locally recovered in inconformity by a second serie of volcano detritic origin where numerous detritic micas are found. The measurements, which provide a relative geobarometer, indicate for both of them a low pressure type, this statement is corroborated by the b-d002 relations. The differences observed between the two series are discussed.
Dispersion-mediated steering of organic adsorbates on a precovered silicon surface
Authors: Pecher Lisa , Schmidt Sebastian , Tonner Ralf
Published: October 2018

The chemistry of organic adsorbates on surfaces is often discussed in terms of Pauli repulsion as limiting factor regarding the packing of molecules. Here we show that the attractive part of the van der Waals potential can be similarly decisive. For the semiconductor surface Si(001), an already covalently bonded molecule of cyclooctyne steers a second incoming molecule via dispersion interactions onto the neighbouring adsorption site. This helps in understanding the nonstatistical pattern formation for this surface–adsorbate system and hints toward an inclusion of dispersion attraction as another determining factor for surface adsorption.
A Large Ground-based Observing Campaign of the Disintegrating Planet K2-22b
Authors: Colón Knicole D. , Zhou George , Shporer Avi , Collins Karen A. , Bieryla Allyson , Espinoza Néstor , Murgas Felipe , Pattarakijwanich Petchara , Awiphan Supachai , Armstrong James D. , Bailey Jeremy , Barentsen Geert , Bayliss Daniel , Chakpor Anurak , Cochran William D. , Dhillon Vikram S. , Horne Keith , Ireland Michael , Kedziora-Chudczer Lucyna , Kielkopf John F. , Komonjinda Siramas , Latham David W. , Marsh Tom. R. , Mkrtichian David E. , Pallé Enric , Ruffolo David , Sefako Ramotholo , Tinney Chris G. , Wannawichian Suwicha , Yuma Suraphong
Published: October 2018

We present 45 ground-based photometric observations of the K2-22 system collected between 2016 December and 2017 May, which we use to investigate the evolution of the transit of the disintegrating planet K2-22b. Last observed in early 2015, in these new observations we recover the transit at multiple epochs and measure a typical depth of <1.5%. We find that the distribution of our measured transit depths is comparable to the range of depths measured in observations from 2014 and 2015. These new observations also support ongoing variability in the K2-22b transit shape and time, although the overall shallowness of the transit makes a detailed analysis of these transit parameters difficult. We find no strong evidence of wavelength-dependent transit depths for epochs where we have simultaneous coverage at multiple wavelengths, although our stacked Las Cumbres Observatory data collected over days-to-months timescales are suggestive of a deeper transit at blue wavelengths. We encourage continued high-precision photometric and spectroscopic monitoring of this system in order to further constrain the evolution timescale and to aid comparative studies with the other few known disintegrating planets.
Techniques for Finding Close-in, Low-mass Planets around Evolved Intermediate-mass Stars
Authors: Medina A. A. , Johnson J. A. , Eastman J. D. , Cargile P. A.
Published: October 2018

Jupiter-mass planets with large semimajor axes (a > 1.0 au) occur at a higher rate around evolved intermediate-mass stars. There is a pronounced paucity of close-in (a < 0.6 au), intermediate-period (5 < P < 100 days), low-mass (M
planet < 0.7M
Jup ) planets, known as the “Planet Desert.” Current radial velocity (RV) methods have yet to yield close-in, low-mass planets around these stars because the planetary signals could be hidden by the (5–10) m s−1 RV variations caused by acoustic oscillations. We find that by implementing an observing strategy of taking three observations per night separated by an optimal Δt, which is a function of the oscillation periods and amplitudes, we can average over the stellar jitter and improve our sensitivity to low-mass planets. We find that Δt can be approximated using the stellar mass and radius given by the relationship Δt = 1.79

. We test our proposed method by injecting planets into well-sampled data of a subgiant star, γ Cep. We compare the fraction of planets recovered by our method to the fraction of planets recovered using current RV observational strategies. We find that our method decreases the rms of the stellar jitter due to acoustic oscillations by a factor of three over current single epoch observing strategies used for subgiant stars. Our observing strategy provides a means to test whether the Planet Desert extends to lower-mass planets.
Extracting Bias Using the Cross-bispectrum: An EoR and 21 cm–[C ii]–[C ii] Case Study
Authors: Beane Angus , Lidz Adam
Published: October 2018

The amplitude of redshifted 21 cm fluctuations during the Epoch of Reionization (EoR) is expected to show a distinctive “rise and fall” behavior with decreasing redshift as reionization proceeds. On large scales (k ≲ 0.1 Mpc−1) this can mostly be characterized by evolution in the product of the mean 21 cm brightness temperature and a bias factor,

. This quantity evolves in a distinctive way that can help in determining the average ionization history of the intergalactic medium from upcoming 21 cm fluctuation data sets. Here we consider extracting

using a combination of future redshifted 21 cm and [C ii] line-intensity mapping data sets. Our method exploits the dependence of the 21 cm–[C ii]–[C ii] cross-bispectrum on the shape of triangle configurations in Fourier space. This allows one to determine

yet, importantly, is less sensitive to foreground contamination than the 21 cm auto-spectrum and so can provide a valuable cross-check. We compare the results of simulated bispectra with second-order perturbation theory: on the largest scales well probed by our simulations (k ∼ 0.05 Mpc−1), the perturbative estimate of

matches the true value to within 10% for

. The perturbative formula is most accurate early in the EoR. We consider the 21 cm auto-bispectrum and show that this statistic may also be used to extract the 21 cm bias factor. Finally, we discuss the survey requirements for measuring the cross-bispectrum. Although we focus on the 21 cm–[C ii]–[C ii] bispectrum during reionization, our method may be of broader interest and can be applied to any two fields throughout cosmic history.
The “trimbiosis” between societal apathy and its externalities in local development: an exploratory perspective
Authors: Santos Suzane Raquel Guerra , Oliveira Antonio Gonçalves de
Published: October 2018

Societal management, although important for the development and democratization of the State, is not yet recognized as a theoretical model of public administration, and academic studies on this subject remain few in number. The principal aim of this study, bearing in mind its exploratory perspective, is to study societal apathy and its externalities in local development. To this end, it seeks to answer the following question: how is it possible to understand whether there is a symbiotic overlap between societal apathy and its externalities in local development? In methodological terms, this aspect is based on the purposes of exploratory and explanatory research and the means of bibliographic research. The results show that societal apathy has a direct impact on local/regional development due to the lack of inspection by society with regard to public management, generating negative externalities. Consequently, patrimonialist political interests prevail over collective interests.
L’échelle d’évaluation du comportement néonatal ou échelle de Brazelton : la NBAS
Authors: Fabre-Grenet Marie
Published: October 2018

Nous décrivons, les bases théoriques et la pratique de l’échelle d’évaluation du comportement néonatal. L’échelle repose sur la compréhension du développement selon la théorie synactive et nous apprend le répertoire comportemental du nouveau-né. L’objectif est de permettre au bébé de nous montrer ses capacités d’ajustement, de régulation et d’interaction en présence des parents, afin de soutenir les premières interactions et favoriser le développement du bébé en soutenant ses capacités de stabilisation et d’organisation, et de mettre en valeur sa personnalité unique.
L’héritage de T. Berry Brazelton et les perspectives pour demain
Authors: Candilis-Huisman Drina
Published: October 2018

La construction de l’échelle NBAS s’est adaptée progressivement aux connaissances et aux pratiques innovantes en périnatalité. C’est en quoi il s’agit d’un outil pour soutenir le développement de l’enfant et la parentalité naissante qui reste d’une très grande actualité. Nous cherchons à montrer comment sa pratique repose sur une connaissance du bébé et de sa famille ouverte aux apports nouveaux sur le développement du bébé mais aussi sur la collaboration des équipes issues de pratiques professionnelles et d’horizons théoriques différents.
Au service des entrepreneurs !
Authors: Naszályi Philippe
Published: October 2018

Quel est l’impact de la recherche sur les managers ? L’étude de 1557 réponses obtenues, a permis d’appréhender la manière dont l’impact de la recherche est perçu par les managers. La RSG se place en 4 e position du TOP 10 des revues les plus reconnues par les entrepreneurs : Pas mal pour la seule revue indépendante d’une fondation ou d’une association, et la seule gérée comme une entreprise ! L’étude ne mesure pas l’impact à l’étranger qui nous aurait renforcé encore . Être la plus ancienne revue francophone, avoir reçu du grand universitaire et homme d’Etat, Raymond Barre, le qualification de « 1 re revue francophone de management » oblige et fixe la ligne de crête pour « être au service des entrepreneurs ». Voilà pourquoi exceptionnellement à côté des recensions bibliographiques de nos collaborateurs attitrés (page 157), nous présentons brièvement en clin d’œil, un ouvrage sur le parcours de 20 entrepreneurs (page 101). Trois dossiers thématiques entendent répondre également à cette préoccupation permanente par leur diversité et leur lien avec le terrain, d’étude, d’expertise, de synthèse. - « Géographie et entreprises », privilégie l’environnement territorial, régional voire immatériel. - «  Collaborations et coopérations  » découle naturellement du fait des contraintes des évolutions des technologies notamment de l’information et de la nécessaire utilité de trouver des fondements économiques et sociologiques aux défis de la mondialisation. - «  Mesures et contrôles », aborde par des cas souvent très orignaux, une logique d’évaluation nécessaire à tout acte d’« administration » pour reprendre le vocabulaire du père du management qu’est Henri Fayol dont l’objectif était déjà de placer sa publication « au service des entrepreneurs » !
Géo-optimisation du prix de vente par analyses factorielle et morphologique
Authors: Baray Jérôme , Pelé Martine , Soulabail Yves
Published: October 2018

Le présent article introduit une nouvelle méthode pour optimiser spatialement le prix de vente d’un produit ou d’un service ainsi que les autres paramètres du marketing-mix en tenant compte de l’offre et de la demande. La méthode comprend une segmentation multidimensionnelle géographique selon les caractéristiques de l’offre et une détection automatique des opportunités commerciales et stratégiques.
La remise en cause des frontières : une nouvelle représentation de la réalité européenne
Authors: Martin Claude
Published: October 2018

Les frontières de l’UE seront-elles remises en cause par les flux migratoires, le populisme, ou la volonté séparatiste de certains états ? Derrière cette question, se profile une pluralité de visions et d’acteurs. Au gré des interprétations, la frontière est perçue comme un concept qui protège, un motif d’adhésion, une construction socio-culturelle, un cadre de valeurs, un enjeu, un défi ou un moyen de pouvoir. La modification d’une frontière n’est jamais le fruit du hasard. L’Union européenne, les États membres, les pays tiers et les entreprises sont impliqués dans ce processus. Le BREXIT enfin, aura des conséquences sur les secteurs clés de l’Union : commerce international, enseignement et recherche, immigration, travail, organisation territoriale... Les divergences économiques et financières dans l’UE, la compétitivité des entreprises, des institutions et des villes sont des questions importantes pour l’agenda européen. Réduire les disparités régionales des États membres fait partie de la politique de cohésion. L’attitude de la Grande Bretagne par rapport au financement de la politique de cohésion laisse imaginer les problèmes qui pourraient apparaître dans l’avenir.
Attachement, fonction contenante et rigidités contemporaines
Authors: Plaat Nathalie
Published: October 2018

En effectuant une plongée au cœur des phénomènes psychiques impliqués dans la fonction contenante et la création de l’attachement mère-enfant, cet article met en lumière les liens possibles entre les expériences traumatiques de l’accouchement, la culture actuelle du « conseil standardisé » et la rigidification graduelle des processus de pensées observée chez les parents de nouveau-nés. L’auteure y explore la possibilité de remettre la fonction contenante et l’empathie au premier plan de toute intervention de soutien périnatal, afin de contrer la tendance actuelle, chez les parents, à chercher au-dehors d’eux-mêmes et du champ relationnel les liant à leur bébé, les attitudes et les comportements à adopter avec celui-ci.
Los inicios y primeras localizaciones de la Legio II Traiana Fortis
Authors: Miserachs García Sergio , Castillo Campillo Lorena
Published: October 2018

Las legiones romanas altoimperiales eran unidades militares con gran movilidad a las que se requería que se desplazaran rápidamente allá donde su emperador ordenara y por lo tanto algunas de ellas no tuvieron asignado un asentamiento definitivo durante mucho tiempo. Analizamos y discutimos las posibles primeras localizaciones de la Legio II Traiana Fortis, la segunda legión fuerte de Trajano, una legión que, hasta su asentamiento definitivo en Egipto, fue acuartelada en Judea. Analizando la evidencia arqueológica y epigráfica actual, concluimos en qué año exacto fue transferida a Judea y qué legiones cambiaron de localización en Egipto y Oriente Próximo durante los primeros años de mandato de Adriano
Offline Support Model for Low Bandwidth Users to Survive in MOOCs
Authors: Rai Laxmisha
Published: October 2018

To access MOOCs’(Massive Open Online Courses) contents, and complete them successfully, resources such as computers or smart phones, Internet access with high-bandwidth are highly essential. Moreover, other facili-ties such as power requirement for electronic devices and software tools to view the MOOC contents within the course duration are necessary to complete the assessments. This shows that, the students must remain with online access more than expected. This not only a major requirement for completion of MOOCs, but also hinder the progress of learning in low bandwidth regions, and also for learners with listening or visual disabilities. Considering all these, in this paper addresses three learner challenges related to MOOCs: (1) what are the methods of reducing usage of electronic devices during online learning?, (2) what are the possible measures for effective learning with limited online presence?, and (3) how to survive successful completion in low-bandwidth contexts. An offline support model is proposed to reduce the online presence during online learning and to manage the low-bandwidth challenges.
A Tablet-Computer-Based Tool to Facilitate Accurate Self-Assessments in Third- and Fourth-Graders
Authors: Villanyi Denise , Martin Romain , Sonnleitner Philipp , Siry Christina , Fischbach Antoine
Published: October 2018

Although student self-assessment is positively related to achievement, skepticism about the accuracy of students’ self-assessments remains. A few studies have shown that even elementary school students are able to provide accurate self-assessments when certain conditions are met. We developed an innovative tablet-computer-based tool for capturing self-assessments of mathematics and reading comprehension. This tool integrates the conditions required for accurate self-assessment: (1) a non-competitive setting, (2) items formulated on the task level, and (3) limited reading and no verbalization required. The innovation consists of using illustrations and a language-reduced rating scale. The correlations between students’ self-assessment scores and their standardized test scores were moderate to large. Independent of their proficiency level, students’ confidence in completing a task decreased as task difficulty increased, but these findings were more consistent in mathematics than in reading comprehension. We conclude that third- and fourth-graders have the ability to provide accurate self-assessments of their competencies, particularly in mathematics, when provided with an adequate self-assessment tool.
A High Security Distance Education Platform Infrastructure Based on Private Cloud
Authors: Ran Jingtai , Hou Kepeng , Li Kegang , Dai Niya
Published: October 2018

This paper aims to avoid the tampering or leakage of sensitive data in a distance education platform. To this end, an intelligent identity authentication model was proposed to realize continuous user authentication, and high security infrastruc-ture was designed for distance education platform based on the proposed model. The experimental evaluation shows that the proposed infrastructure based on pri-vate cloud can greatly improve the security of distance education platform. Suf-fice it to say that the research findings provide new insights into the security of distance education.
Design and Implementation of University Art Education Management System Based on JAVA Technology
Authors: Chen Xuchun
Published: October 2018

Along with the popularity of teaching ideas such as quality-oriented education and comprehensive education, colleges and universities are paying more attention to the art teaching and art training of students. Besides, the rapid development of computer technology and its extensive penetration in many fields promote the de-velopment of art teaching management model towards standardization and sche-matizations. Therefore, a university art teaching management system based on JAVA technology is designed. The system chooses JAVA as the main pro-gramming language, eclipse as the development tool, and SSH of Open Source as the basic framework. MVC pattern is used to design the Struts architecture to en-sure the data processing capability of the system, and SQL is used as the backend database to ensure the integrity of the data and the storage efficiency of the sys-tem. After testing, the system meets the expected requirements, changes the tradi-tional university art teaching model, and enriches the dimension of art teaching. What’s more, the system expands the thinking of art teaching work for teachers in colleges and universities, and also satisfies the urgent demand of university students for art training.
Feature Extraction and Learning Effect Analysis for MOOCs Users Based on Data Mining
Authors: Li Yajuan
Published: October 2018

This paper has been withdrawn on request of the author(s).
Development of an Accounting Skills Simulation Practice System Based on the B/S Architecture
Authors: Liu Jianmei , Fu Rong
Published: October 2018

Nowadays, companies are more in need of accounting professionals with both theoretical knowledge and practical abilities. However, the traditional accounting teaching model in colleges and universities cannot train students in both aspects. In order to improve the practical abilities of accounting major students in colleges and universities and promote the accounting teaching upgrade and reform, this paper proposes an accounting skills simulation practice system based on the B/S architecture, aiming at improving the comprehensive abilities of accounting students and teaching efficiency. The technical roadmap of this system adopts the B/S as the network architecture of the teaching system, HTML and Java Script language as the system programming language and MySQL database as the data storage and management database. The system consists of user administration, knowledge base management, teaching content management, practical test score management and other modules, which not only achieves the self-evaluation on the full set of accounting skills, but also improves the accounting teaching efficiency and helps teachers gain more control over the teaching process. This study can serve as some guidance to colleges and universities in cultivating innovative and practical accounting talents.
Design and Implementation of the Online Computer-Assisted Instruction System Based on Object-Oriented Analysis Technology
Authors: Zhou Wenbo , Shi Lei , Chen Jian
Published: October 2018

The online computer-assisted instruction system has changed the way of knowledge acquisition, and makes knowledge transmission faster, and more con-venient and efficient. This study discusses the key technologies of online com-puter-assisted instruction system with such methods as literature research, system analysis and empirical research, analyzes the requirement of online computer-assisted instruction system with object-oriented analysis method, determines the main functions of online computer-assisted instruction system, and designs the model of online computer-assisted instruction system in detail with the aid of UML technology. The practicality and validity of the model are verified by the re-alization of some interfaces and processes of the system model.
Matlab-Realized Visual A* Path Planning Teaching Platform
Authors: Luo Mingfeng
Published: October 2018

Path planning in the global known environment is one of the main prob-lems in the field of mobile robots. Based on the characteristics of A* search method, this paper designs a simulation platform which is visible during the op-eration process to achieve graphicalization of the A* algorithm search process. The simulation platform is implemented by Matlab GUI method, which provides multi-parameter setting function, and outputs the specific traversal process of the planning method in the search space into the RGB space. The results of applying simulation platform to the teaching environment shows that this platform can provide an intuitive description of the path planning method. By extracting sam-ple data from the actual audience, the simulation platform proposed in this paper is compared with the platformless dissemination method. The experimental re-sults show that the simulation platform given in this paper can effectively im-prove the dissemination effect of the conventional multimedia teaching method.
A Smart WiFi Multi-Sensor Node for Fire Detection Mechanism Based on Social Network
Authors: Yoddumnern Anekwong , Chaisricharoen Roungsan , Yooyativong Thongchai
Published: October 2018

A small device with WiFi multi-sensing element is very important under a social digital century. This study aims to implement the hardware and the power of the algorithm with WiFi technologies. Especially, the multi-sensors have to reinforce around a home area and support to any requirement in the term of digital society. This study focus to care the home security— on going to the fire detection with applying several technologies based on a Cloud. Firstly, the multi-sensor calibration has used calibration time and self-calibration as the Finite Impulse Response (FIR). Next, the Full-Scale Kalman Filter (FSKF) helps to fill data and estimate the accuracy data. After that, the fire detection mechanism has used Fuzzy logic to detect and send alert messages over an IFTTT process. There are changed following event-- the data range of fire proportion inside the home. Furthermore, The OFF-Mode has reduced the power consumption suddenly the WiFi module is sent the sensor data to the Cloud. Finally, the WiFi multi-sensor node will use more than one sensor as the same detector will be a high stability and high accuracy.
Indoor Positioning Method Based on Wireless Signal
Authors: Yang Jingjing , Feng Zhenyu , Ma Xuchao , Zhang Xiao
Published: October 2018

In view of the problems of traditional wireless indoor positioning technologies such as errors and a low positioning accuracy that cannot reach the application level required by hospital indoor positioning, this study proposes a hospital indoor positioning method based on wireless signals. This study firstly analyzes the principles of hospital indoor positioning, verifies the reliability and accuracy of the collected data using Gaussian distribution, P-P plot and Q-Q plot, and finally analyzes the collected data using the least square fitting algorithm to obtain a fitting wave attenuation model, which is then applied to the indoor positioning system. Experiments show that this method can reduce the error of indoor positioning in hospitals, and improve the repeatability and measurement accuracy of indoor positioning in hospitals.
Key Technology of Electronic Nose Gas Recognizer Based on Wireless Sensor Networks
Authors: Hong Mei
Published: October 2018

Electronic nose gas recognizer is a kind of instrument simulating biological olfactory function for gas detection, which is widely applied in underground construction, aerospace, medical treatment and other fields. The sensing mechanism of the wireless sensor is complex. The wireless sensor array can realize the cross-response of the mixed gas, as well as data acquisition, processing and transmission by wireless transmission. This study applies the wireless sensor array to the electronic nose gas recognition technology, and conducts detection and recognition of three kinds of volatile gas, as well as analyzes the transient response of four wireless sensors and the transient response of wireless sensor array. It is found that the transient response curves are related to the characteristics and sample properties of wireless sensors, but not directly related to sample components. The whole transient response process includes four processes, namely steady state, rising process, maximum response and falling process. The response curve change of wireless sensor array to engine oil volatile gas is similar to that of diesel oil, but the conductance value is smaller than that of diesel oil gas response curve.
Development and Application of a New Positioning Algorithm for Wireless Sensor Networks
Authors: Gao Guohong , Wei Feng , Wang Jianping
Published: October 2018

This paper aims to create a desirable positioning method for nodes in wireless sensor networks (WSNs). For this purpose, a source node positioning algorithm was developed based on time-of-arrival (TOA), in view of the nonlinear correlation between the measured values and unknown parameters in the observation equation of TOA source position. Several experiments were carried out to evaluate the performance of the proposed algorithm in terms of time measurement error, computing complexity, location error and Cramér–Rao lower bound (CRLB). The results show that the CRLB acquired by this algorithm can be used for WSN node positioning, provided that the independent zero mean Gauss measurement error is sufficiently small. The research findings lay a solid technical basis for optimal management, load balance, efficient routing, and automatic topology control of WSNs.
Underground Operator Monitoring Platform Based on Ultra-Wide Band WSN
Authors: Xie Weicai , Li Xiaofeng , Long Xi
Published: October 2018

This paper aims to accurately locate underground personnel in coal mines. For this purpose, an underground personnel positioning platform was established on the wireless sensor network (WSN). Specifically, the ultra-wide band (UWB) and the time difference of arrival (TDOA) positioning algorithm were introduced briefly, in view of the underground operation environment. Then, the underground operator monitoring platform was developed based on UWB-WSN and compared it with different positioning techniques through experiments. The results show that the proposed platform achieved a high positioning accuracy and satisfied the needs of real-time monitoring of underground personnel. The research findings shed new light on the mitigation of personnel and property losses in coal mine accidents.
Virus Propagation Model for Wireless Sensor Networks Based on IPv6
Authors: Zhou Zhinan , Wang Wendi , Li Yuxia
Published: October 2018

This paper aims to disclose the features of virus propagation in wireless sensor networks (WSNs). To this end, the author analysed the data transmission mode of WSNs which follow IPv6 protocol. Then, the virus propagation in such networks was simulated and discussed under different scenarios. Based on the simulation results and the traditional virus propagation model, a new model was put forward to describe the virus transmission in IPv6 WSNs. The proposed model lays a theoretical basis for relevant studies and the guarantee of WSN security.
Data Compression Scheme of Fronthaul Network Based on LTE
Authors: Feng Chenwei
Published: October 2018

As the long term evolution (LTE) mobile users and transmission data increase, the load of the fronthaul network increases. In order to control the consumption of optical fiber resources, and prevent congestion under the premise of increasing data transmission, it is necessary to compress the data of the fronthaul network. In this paper, a data compression scheme of LTE-based fronthaul network is proposed. According to the characteristics of LTE baseband signals, discrete sine transform (DST) is applied to the time domain signals, and the transformed coefficients are partitioned according to the energy concentration characteristics. Bit allocation is performed in different blocks, and the coefficients of each block are quantized by Lloyd-Max quantizer. Finally, Huffman coding is carried out to improve the compression ratio under the condition that the error is allowed. The simulation results show that the proposed data compression scheme has good performance in both compression ratio (CR) and error vector magnitude (EVM).
Wireless Sensor Node Localization Algorithm Based on Particle Swarm Optimization and Quantum Neural Network
Authors: Liu Yulong , Yu Xiaoming , Hao Yuhua
Published: October 2018

Aiming at the problem of node localization in wireless sensor networks, a location algorithm for optimizing distance vector hopping (DV-hop) by constructing a quantum neural network model based on particle swarm optimization (PSO) is proposed. According to the average distance obtained by the traditional DV-HOP and the distance from the measured nodes, the quantum neural network model is constructed, and the average distance is trained by the particle swarm optimization algorithm which would shorten the training time of the traditional artificial neural network and accelerate the convergence speed. By using the proposed model, the optimal mean value is obtained, and the optimization of the DV-HOP algorithm is realized. The simulation results show that compared with the traditional DV-HOP algorithm, the proposed algorithm can reduce the positioning error by about 20%, and the positioning accuracy is significantly improved.
Limited Phenotypic and Functional Plasticity of Influenza Virus–Specific Memory CD8+ T Cells during Activation in an Alternative Cytokine Environment
Authors: Harland Kim L. , Fox Annette , Nüssing Simone , Hensen Luca , Kedzierska Katherine , Turner Stephen J. , Kelso Anne
Published: October 2018

Naive CD8+ T cells show phenotypic, functional, and epigenetic plasticity, enabling differentiation into distinct cellular states. However, whether memory CD8+ T cells demonstrate similar flexibility upon recall is poorly understood. We investigated the potential of influenza A virus (IAV)-specific memory CD8+ T cells from mice to alter their phenotype and function in response to reactivation in the presence of IL-4 and anti–IFN-γ Ab (type 2 conditions). Compared with naive CD8+ T cells, only a small proportion of IAV-specific memory T cells exhibited phenotypic and functional plasticity after clonal activation under type 2 conditions. The potential for modulation of cell-surface phenotype (CD8α expression) was associated with specific epigenetic changes at the Cd8a locus, was greater in central memory T cells than effector memory T cells, and was observed in endogenous memory cells of two TCR specificities. Using a novel technique for intracellular cytokine staining of small clonal populations, we showed that IAV-specific memory CD8+ T cells reactivated under type 2 conditions displayed robust IFN-γ expression and, unlike naive CD8+ T cells activated under type 2 conditions, produced little IL-4 protein. Secondary activation of memory cells under type 2 conditions increased GATA-3 levels with minimal change in T-bet levels. These data suggest that a small population of memory cells, especially central memory T cells, exhibits plasticity; however, most IAV-specific memory CD8+ T cells resist reprogramming upon reactivation and retain the functional state established during priming.