bluuebunny/crossref_metadata_2025 huggingface dataset:
Un kilomètre du jardin à la canopée. Espace vécu et expérience spatiale
Authors: Joublot Ferré Sylvie
Published: August 2020

Cet article présente la manière dont l’espace vécu s’est trouvé affecté par des événements circonstanciels et exceptionnels tels que le confinement et les conditions restreintes de sorties, imposés en France entre le 17 mars et 11 mai 2020. Une expérience spatiale ordinaire est mise à l’étude : une marche à pied récurrente dans l’espace proche en moyenne montagne. Il s’agit plus précisément de mettre l’accent sur l’expérience spatiale comme un concept opératoire et réflexif dans le cadre de la spatialité individuelle. C’est l’occasion de questionner d’un point de vue épistémologique, heuristique et conceptuel les questions de l’espace vécu et de l’habiter.
Paysage sensible art-science d’un confinement sur le littoral breton : mise en relief d’un calligramme géopoétique
Authors: Lamontagne Nancy , Collin Antoine
Published: August 2020

La pandémie de la covid-19 provoqua, en France, des mesures gouvernementales exceptionnelles, à savoir un état d’urgence sanitaire sous la forme d’un confinement strict le mardi 17 mars 2020. Bien qu’uniformément appliquée au territoire, la règle de sortie du domicile à moins d’un kilomère en moins d’une heure se déclina en fonction de la géographie. Sur le littoral breton de la Côte d’Emeraude, le confinement constitua un laboratoire pour la mise en place d’un système art-science, producteur d’une œuvre transdisciplinaire : une mise en relief d’un paysage littéraire. Le trajet bi-circadien d’entretien physique a ainsi délimité et défini une géomorphologie sensible d’une île-paysage, à travers la co-création d’isoplètes d’imagination, dénommées « isoeides ».
Un confinement handicapé : espace social et espace corporel face au Covid-19
Authors: Laurent Michael J.P.
Published: August 2020

Le confinement mondial lié au Covid-19 amène a nous intérroger sur les notions de vulnérabilité et d'interdépendance, et donc sur la place des handicapés dans l'espace social. Quel enseignement tirer de cette experience mondiale de mobilité réduite ?
Derrière chez-moi, devinez ce qu’il y a… ?
Authors: Marrou Louis
Published: August 2020

En s’appuyant sur un carnet de mobilité et un fichier où sont enregistrées les activités deux fois par heure durant toute la journée, l’auteur met en évidence sa perception de l’espace périurbain autour de son lieu de confinement sur la frange atlantique française durant les huit semaines de celui-ci et les huit semaines l’ayant précédé. Une nouvelle relation à l’espace se dessine au sein d’un espace vécu restreint et redécouvert.
Peut-on s’auto-confiner pour porter attention au chez-soi ?
Authors: Martouzet Denis
Published: August 2020

La période de confinement vécue lors de la crise du Covid-19 en mars, avril et mai 2020 a modifié le rapport que chacun entretient avec « son » espace, notamment du fait du rétrécissement de l’espace vécu. La réduction des possibles n’est cependant pas nécessairement vécue négativement. Si le confort matériel joue un rôle non négligeable, c’est pourtant la diminution importante de sollicitations extérieures qui permet un recentrement sur le chez-soi. La temporalité change avec l’ambiance, permettant et obligeant à plus d’attention à ce qui environne l’individu confiné, permettant aussi un rattrapage de ce qui a été laissé de côté. Ainsi, attention et rattrapage temporel conduisent à une plus grande appropriation de l’espace vécu. Cependant, comment considérer que si le confinement présente des aspects très positifs, nous ne puissions mettre en place une telle situation ?
Se mouvoir en état d'urgence
Authors: Melchior Hugo
Published: August 2020

Pour des raisons impérieuses de sécurité publique en 2016, puis de sécurité sanitaire en 2020, un citoyen est confronté à une forte restriction de sa liberté de circulation à l’échelle d’une ville comme Rennes, ce qui bouleverse son rapport subjectif à son environnement immédiat.
Au-delà des confins
Authors: Metzger Alexis
Published: August 2020

Confiné dans le Sud-Ouest de la France, l’auteur propose un court texte de fiction qui s’appuie, en partie, sur quelques expériences vécues. Mais en hommage aux histoires fantastiques de Raymond Devos, le récit s’oriente aussi vers une géographie imaginaire.
Confiné au Désert – 13 mars-11 mai 2020
Authors: Morhange Christophe
Published: August 2020

Deux mois de confinement d'un géomorphologue au Mont Lozère. Il est identifié trois sphères spatiales à cette retraite imposée.
Du monde clos à l’univers infini (à la promesse de l’ouvert)
Authors: Regnauld Hervé
Published: August 2020

Rennes, ville habituellement festive est déserte et tous les troquets sont clos. Il n’y a dans les rues que des chats et des écureuils
Réinterroger les paysages du quotidien en temps de confinement. Regard porté depuis le vignoble bourgueillois
Authors: Robert Amélie
Published: August 2020

Le confinement a bouleversé notre rapport à l’espace, amenant à envisager une géographie du kilomètre. Cet article se propose d’apporter un témoignage, en dévoilant une de ces portions de territoires devenues espaces de vie bornés, par la limitation des déplacements. L’auteur nous conduit alors dans le vignoble bourgueillois, pour partager cette expérience au demeurant personnelle mais qui trouve écho dans les expériences de tout un chacun. La réflexion s’élargit ainsi ensuite, par un détour épistémologique autour des notions de paysages vécus et représentés. En effet, le confinement fait la part belle à la subjectivité et nous amène alors à relire les écrits d’A. Frémont et de H. Lefebvre sur l’espace vécu. Il nous renvoie aussi vers les caractéristiques intrinsèques des paysages, le poids des héritages, la part de nature. Surtout, à l’heure du confinement, les paysages apparaissent plus encore que d’ordinaire comme un moyen d’évasion.
Regard en trompe-l’œil sur le cœur de Paris
Authors: Tabeaud Martine
Published: August 2020

Les cinquante-cinq jours de confinement dans un appartement d'un très vieil immeuble dans le Marais à Paris permettent de voir autrement le cœur de la ville : les bâtiments, les activités. Dans un environnement perçu comme clos à de multiples échelles, le ciel est la seule échappatoire.
« La Terre est un animal ». Religion naturelle, cycle de l’eau et circulation monétaire pendant la Révolution
Authors: Fressoz Jean-Baptiste , Vincent Julien
Published: August 2020

La Révolution française est marquée par un renouveau de l’idée ancienne selon laquelle la Terre serait comparable à un gigantesque animal, ou à un organisme vivant fonctionnant à la manière d’une machine hydraulique. Nous explorons les liens entre cette métaphore et les enjeux politiques liés à l’essor d’un nouvel État républicain. Alors que le nouveau régime se sépare de l’Église et introduit la liberté des cultes, l’idée de Terre comme animal sert en premier lieu à bâtir une nouvelle religion civile et naturelle donnant une part notable au culte des astres. Elle sert en second lieu à penser les questions environnementales : le déboisement et les marécages sont vus comme un dérèglement du cycle de l’eau et comme les symptômes d’une mauvaise relation entre le Léviathan républicain et la Terre-animal.
De l’esthétique du cottage comme vision de l’environnement : Robert Southey, critique de la Révolution industrielle
Authors: Mathis Charles-François
Published: August 2020

Le poète britannique Robert Southey (1774-1843), incarnation de ce que E.P. Thompson a appelé le « radicalisme social traditionaliste » et contemporain de la première Révolution industrielle, est un témoin important et clairvoyant du nouveau rapport à l’environnement naturel qui se met alors en place par l’ hubris  d’industriels s’appuyant sur des énergies fossiles pour faire fi des limites du monde. À cette subjectivité environnementale nouvelle s’oppose celle, toute aussi inédite, qui privilégie une dimension esthétique dans le regard porté sur la nature : à travers les écrits de Southey, notamment  Sir Thomas More, or Colloquies on the Progress and Prospects of Society , paru en 1829, se révèle une terre meurtrie par la mécanisation du corps – social, ouvrier, environnemental – voulue par la civilisation industrielle.
Science, épreuve et passion des glaces chez Daniel Dollfus-Ausset (1797-1870)
Authors: Frochot Agathe
Published: August 2020

En 1843, l’industriel mulhousien Daniel Dollfus-Ausset (1797-1870) rejoint les expéditions glaciaires de Louis Agassiz et se prend de passion pour l’étude de ces masses figées par le froid qu’il continue à côtoyer, à parcourir et à analyser chaque été jusqu’à sa mort. Sa trajectoire de mécène, naturaliste, ascensionniste et ami des montagnards offre un prisme original pour l’étude du groupe de savants qui gravitent autour d’Agassiz. Leurs pratiques scientifiques ainsi que leurs productions textuelles et visuelles dessinent une « économie morale » spécifique dans laquelle la construction savante du monde des glaces s’accompagne de subjectivités marquées par une forte sensibilité aux paysages glaciaires.
Des sorcières écologistes au XIX e siècle ? Figures imaginaires en lutte
Authors: Guest Bertrand
Published: August 2020

Le xix e  siècle marque la permanence de la sorcière, figure imaginaire projetée sur des âges anciens. À la lumière de son potentiel subversif, consistant en pratique et savoirs peu contrôlables, actif en tant que ligne de front dans certaines des premières écologies, et à l’aube de l’écoféminisme, que nous dit sa littérature des conflits environnementaux, voire d’un conflit entre cosmologies distinctes ? Un corpus de ses apparitions montre que cette subjectivité insaisissable appelle une rétrospective interdisciplinaire, entre littérature et anthropologie élargie, pour explorer les intersections entre féminismes, lutte des classes et écologies au xix e  siècle. La sorcière n’en finit pas, dès alors, de dire les luttes encore en cours entre visions du monde, ni de questionner la place des humains modernes sur un sol terrestre.
Les paysages stériles de Hong Kong : controverses scientifiques, transformations environnementales et mythe fondateur à l’heure de la colonisation britannique
Authors: Decaudin Maxime
Published: August 2020

À travers l’emploi du mot barren dans les descriptions des paysages de Hong Kong, cet article examine la façon dont l’absence de forêt tropicale et son interprétation par les observateurs britanniques évoluent au cours du xix e  siècle. Si la désolation apparente de l’île suscite la curiosité des premiers voyageurs quant à la fertilité du sol, elle devient, pour les premiers colons, la source de multiples anxiétés environnementales qui menacent l’entreprise coloniale et justifient un long et couteux programme de reforestation. Ces profondes transformations permettent de dénoncer les pratiques improductives des habitants tout en légitimant l’occupation. Au fur et à mesure qu’ils imposent leur domination et que l’image de la Chine se détériore, les Britanniques élaborent un mythe fondateur qui renforce, par contraste avec le rocher stérile, la réussite et la supériorité de leur civilisation.
« Je n’accuse que l’homme » : responsabilité humaine et complaintes du vivant dans l’œuvre de Jules Michelet
Authors: Plas Élisabeth
Published: August 2020

Cet article propose de lire l’histoire naturelle de Jules Michelet comme un manifeste écologique, attentif aux sociabilités et aux subjectivités animales et végétales, et comme un acte d’accusation adressé aux sociétés humaines et particulièrement à l’ère industrielle. En désignant l’origine humaine de la dégradation de l’environnement et de la disparition de certaines espèces, Michelet entrevoit le début de ce que l’on nomme aujourd’hui l’Anthropocène. Critiquant à la fois l’orgueil humain qui conduit aux plus grands massacres, l’affolement techniciste et l’assèchement moral du xix e  siècle, il imagine une société écologique d’universelle égalité entre les êtres et les espèces, une démocratie de tous les vivants, sans haut ni bas, libérée de l’anthropocentrisme et de ses effets.
Entre utopie environnementale et environnement industriel insalubre : les papiers peints arsenicaux de William Morris
Authors: Bonney Amélie
Published: August 2020

En 1861, l’artiste utopiste William Morris produit ses premiers papiers peints à la planche, une technique de production artisanale préindustrielle en accord avec les idéaux préraphaélites. Morris est aujourd’hui souvent décrit comme une figure de proue du socialisme et un pionnier de la pensée écologiste, mais il était également actionnaire puis membre du conseil d’administration de la mine de cuivre Devon Great Consols et a utilisé des pigments toxiques à base d’arsenic dans ses ateliers. Cet article se propose d’enquêter sur cette apparente contradiction. En replaçant les idées de Morris dans le cadre des débats contemporains sur la toxicité de l’arsenic et sur les causes des maladies, cet article permet de mieux comprendre le processus d’effacement des risques environnementaux liés à la production de ces papiers peints arsenicaux et de mieux définir la pensée environnementale de Morris.
Usages romanesques du portrait dans Dominique de Fromentin
Authors: Bercegol Fabienne
Published: August 2020

Si le peintre écrivain qu’est Fromentin a souvent été distingué pour le talent dont il fait preuve dans la description des paysages, on s’est jusqu’ici moins intéressé aux portraits insérés dans son unique roman Dominique . Fromentin a pourtant donné à son personnage principal une sensibilité remarquable à la richesse expressive des visages et à la force d’évocation d’un tableau. La scène de contemplation du portrait de Madeleine en est l’illustration : elle montre que Fromentin continue de puiser dans la tradition romanesque qui se joue des sortilèges de l’image pour susciter un effet de présence, par lequel on tente de remédier à la séparation et à l’impossibilité de la parole.
La figure du médecin dans le théâtre grand-guignol d’André de Lorde et Alfred Binet (1905-1928)
Authors: Klein Alexandre
Published: August 2020

Cet article étudie les représentations du médecin et de la médecine à l’œuvre dans les pièces de théâtre grand-guignol nées de la collaboration du dramaturge André de Lorde (1869-1942) avec le psychologue Alfred Binet (1857-1911). Après être revenu sur les conditions de création de ce duo dramatique inédit, il dévoile la figure médicale duale qu’il a promue. Partagé entre soin des patients et progrès de la science, le médecin lordo-binetien incarne en effet le rapport ambivalent que la Belle Époque entretient avec une science et une profession médicales alors en plein essor et dont le pouvoir suscite alors autant d’espoirs que d’inquiétudes.
Why Non-accelerated Filers Voluntarily Comply with SOX 404b?
Authors: Liu Zhenfeng , Cheng Yun , Liu Ruonan
Published: August 2020

This paper investigates the managers’ incentives to voluntarily comply with SOX 404b and the determinants of firms who voluntarily disclose SOX 404b internal control over financial reporting assessment. We find that voluntary SOX 404b reporting non-accelerated filers are more likely to receive effective internal control over financial reporting opinion than accelerated filers and large accelerated filers. We find that voluntary SOX 404b reporting non-accelerated filers are more likely to hire Big Four as independent auditors than non-SOX 404b reporting non-accelerated filers. We also predict and found substantially sufficient cases where non-accelerated filers which used to be, or ex-post became accelerated filers or large accelerated filers, and non-accelerated filers with parent companies complying with SOX 404b are motivated to voluntarily comply with SOX 404b.
Ethiopian Women Economic Empowerment Through Microfinance
Authors: Mengstie Belay , Singh Amanpreet
Published: August 2020

Women's economic empowerment a strategy helping women to participate in the process of making decisions, supporting income increment, asset possession. The main aim of this study is to investigate the microfinance impact on women economic empowerment considering age and education as moderators. Data for this study have been collected from 346 respondents of microfinance beneficiary women. For data analysis multiple regression and moderated regression with Hayes (2018) process macro software were used in the study. Regression results showed that credit amount, age, number of training, marital status, education level, have a significant impact on the development of women's economy. However, the business experience has an insignificant impact on the development of women's economy. Moderated regression results revealed that age and education did not have a moderation role in the relationship between microfinance service and on the economic empowerment of women. Microfinance affects women's economic empowerment by improving women's independent income, increasing asset possession levels, and improved monthly saving amount. Moreover, the study proved that the microfinance institution has a vital role in women entrepreneurs' development and business exposure.
KEMIRA-M YÖNTEMİ İLE KİŞİSEL KULLANICILAR İÇİN DRON SEÇİMİ: BİR UYGULAMA
Authors: ARSLAN Nuray , KILIÇ DELİCE Elif
Published: August 2020

Dron’lar; profesyonel olarak tasarlanmış kameraların dahi çekemediği fotoğraf ve video görüntülerini çekebilme özelliğine sahip uzaktan kontrol edilebilen pilotsuz hava araçlarıdır. Askeri uygulamalar, fotografçılık, ölçüm, haritalama, güvenlik – arama kurtarma, bilim ve araştırma, tarım, inşaat, gazetecilik ve gösteri dünyası, spor, seyahat, pazarlama gibi birçok alanda kullanılan Dron’lar kullanıldıkları alana göre farklı özelliklere sahiptir. Bununla birlikte kullanım amacına uygun Dron seçimi birbiriyle çelişen birden fazla kriteri içinde barındıran bir Çok Kriterli Karar Verme (ÇKKV) problemidir. Bu çalışmada Dron seçimi yapabilmek için ÇKKV tekniklerinden birisi olan Kemeny Median Indicator Rank Accordance-Modified (KEMIRA-M) yöntemi kullanılmıştır. Çalışma kapsamında 6 farklı alternatif ele alınmış ve bu alternatifler kamera, kontrol mesafesi, uçuş süresi, ağırlık, fiyat, estetik, kullanılabilirlik olmak üzere 7 farklı iç ve dış kritere göre 5 uzman tarafından değerlendirilmiştir. İç kriterler içerisinde en önemli kriter kamera kriteri olarak çıkarken, dış kriterler içinde en önemli kriter kullanılabilirlik kriteri olarak belirlenmiştir. A1 alternatifi ise en uygun Dron alternatifi olarak ortaya çıkmıştır. KEMIRA-M yöntemi ile diğer teknolojik cihazların seçilmesi için yeni yaklaşımlar geliştirilebileceği düşünülmektedir.
ELEKTRİK ENERJİSİ TÜKETİM VERİLERİ İÇİN UYGUN TAHMİN YÖNTEMİ SEÇİMİ
Authors: ÖZKAN Ezel , GÜLER Ezgi , ALADAĞ Zerrin
Published: August 2020

Bu çalışmada Ocak 2016 - Aralık 2018 arası dönem için Türkiye’deki elektrik enerjisi tüketim verileri üzerinde tahminleme modelleri oluşturulmuştur. Tahminleme yaklaşımı olarak “En Küçük Kareler Yöntemi ile Fourier Analizi” ve “Winters’ Yöntemi” kullanılmıştır. En Küçük Kareler Yöntemi ile Fourier Analizi’nde model denklemi için Microsoft Excel’den, Winters’ Yöntemi ile modellemede ise Minitab 19 Paket Programından yararlanılmıştır. Tahmin modellemesinde elektrik tüketim değerleri (TWh) 12 ay, 24 ay ve 36 ay olmak üzere dönemsel olarak incelenmiş, değişkenlik (varyasyon) katsayısı hesaplanmıştır. Bu bağlamda veri setinin dönemsel değişkenliği ve tahmin modellerinin başarısı; değişkenlik katsayısı (Cv) MAPE, MSE, RMSE ve MSD başarı kriterleri ile değerlendirilmiştir. Bu çalışmada elektrik enerjisi tüketimi gibi mevsimsel dalgalanma içeren zaman serilerinin gözlem verileri için modelleme başarısı yüksek alternatif tahmin modelleri karşılaştırılmıştır. Değerlendirme sonucu başarı kriterleri bakımından daha iyi sonuç veren Winters’ Yöntemi ile gelecek 36 aylık elektrik enerjisi tüketim verileri tahminlenmiştir. Oluşturulan modeller strateji belirleyiciler için rehber niteliğindedir.
BİR METAL SANAYİ İŞLETMESİNDE FİZİKSEL ZORLANMALARIN KAS İSKELET SİSTEMİ RAHATSIZLIKLARINA ETKİSİ
Authors: KAHYA Emin
Published: August 2020

Uygunsuz çalışma duruşları sırt, kol, boyun, bilek vb. kas iskelet sistemi rahatsızlıklarına neden olmaktadır. Bu rahatsızlıklar fiziksel güç gerektiren işleri yapan çalışanlarda daha sıklıkla görülmektedir. Çalışanlarda meydana çıkan rahatsızlıklar üretimdeki verimliliğin de düşmesine yol açmaktadır. Bu çalışmada, jant üretimi yapan bir işletmede, parçaların kaldırılması, taşınması gibi faaliyetler nedeniyle işçilerin fiziksel zorlanmalar sonucu kas iskelet sistemi rahatsızlarına maruz kalma düzeylerinin tesbiti amaçlanmıştır. Rahatsızlıkların analizi için bir anket tasarlanmıştır. Anketin ilk iki bölümü iş ve işçi hakkında genel bilgiler ile fiziksel zorlanmaları içermektedir. Üçüncü bölümde, kas iskelet sistemi rahatsızlıklarının tesbiti için Cornell anketi yer almaktadır. Anket jant üretim hatlarında çalışan 45 erkek işçiye uygulanmıştır. Çalışanların %80’i devamlı veya çoğunlukla ayakta, %60’ı 25 kg. üstü ve %37,8’i her 5 dakikada bir yük kaldırarak çalışmaktadır. Cornell anketi sonuçlarına göre, 20 vücut bölgesinden, son bir hafta içinde ağrı, sızı ve rahatsızlık hissedilen bölgeler; bel (%60), boyun (%46,7), üst kol (%44,4) ve sol omuz (%44,4) olup en sık ağrı hissedilen (her gün bir çok kez) bölgeler ise bel ve üst koldur. Bu bölgelerde, aynı zamanda, en şiddetli ağrılar oluşmaktadır.
Role Of Women In International Business, Management And Trade
Authors: Qureshi Farrukh Naseem , Farrukh Tehreem
Published: August 2020

Gender balance is progressively observed as useful for business. The developing cooperation of women in the work has been a significant vehicle of worldwide development and aggressiveness. The discriminatory constraint keeps women from arriving at top positions in business, however women can contribute and add additional boost to the growth and sustainability of the economies. Countries which are open to female contribution in the economy are more economically sound. In this article Qualitative technique has been used and findings reveal that women should be given equal opportunity to create women’s economic empowerment and create an inclusive system.
Condiciones de los estudiantes trabajadores en el aprendizaje universitario
Authors: Tuy Jiatz Samuel Román
Published: August 2020

En el artículo se presentan los resultados de la tesis “Condiciones y resultados de aprendizaje de los estudiantes-trabajadores que participan en la carrera de Auditoría en el CUNSOL”. Debido a la situación económica, los estudiantes de este centro universitario deben trabajar y estudiar en el trascurrir de su carrera universitaria, pues son parte fundamental de la economía familiar. La investigación se realizó con los estudiantes de la carrera de Contaduría Pública y Auditoría. Es de tipo descriptiva con enfoque mixto, se utilizó un cuestionario para la encuesta. El estudio se realizó con una muestra de 160 estudiantes y 11 profesores. En los principales resultado el 63% de los estudiantes trabajadores dedican 3 o más horas diarias a sus estudios. El 57% trabaja más de 8 horas díarias. El 84% de los estudiantes mencionó que los programas de estudio facilitan su aprendizaje como trabajadores. El 74% contestaron que las tareas que más les absorbe tiempo son las relacionadas a investigación y áreas prácticas. Se determina que los estudiantes cuentan con un programa de estudios que les permite estudiar y trabajar, les queda tiempo para realizar las actividades laborales y académicas con grandes esfuerzos físicos y mentales.
Estimulación del crecimiento de Thypa dominguensis con bacterias promotoras de crecimiento vegetal
Authors: Juliana Moura Mendes , Andrea Alejandra Arrúa Alvarenga , Antonio Samudio Oggero , Cinthia Carolina Cazal Martínez , Lourdes Martínez , Pablo Arrúa
Published: August 2020

Las especies de Typha sp son utilizadas en tratamientos de fitorremediación de manera exitosa. CEMIT - DGICT - UNA ha propuesto como alternativa a problemática del lago Ypacaraí, el uso de esta planta para su recuperación. El objetivo de este trabajo fue utilizar especies de Bacillus sp. para estimular la germinación de las semillas y aumentar el vigor y crecimiento de las plántulas de Thypa dominguensis. Para ello, se aislaron Bacillus sp. de semillas de Thypa dominguensis y se seleccionaron dos aislados que fueron utilizados para el tratamiento de las mismas mediante la inoculación con suspensiones bacterianas; las semillas fueron sembradas y acondicionadas en casa de vegetación por 30 días, al cabo de los cuales se procedió con las evaluaciones y se observó que las plantas tratadas con laUniversidad Nacional de Asunción. Dirección General de Investigaciones Científicas y Tecnológicas. San Lorenzo, Paraguays bacterias presentaron mejor porcentual de germinación, mayor longitud y biomasa con relación al testigo, demostrando que el tratamiento fue eficiente en la estimulación del crecimiento y aumento de la biomasa.
KAJIAN HARA DAUN TANAMAN KARET : PERUBAHAN KEBIJAKAN PEMUPUKAN SLOW RELEASE KE FAST RELEASE
Authors: Nugroho Priyo Adi
Published: August 2020

The policy change in application of fertilizer type is the common matter in the plantation company. A leaf nutrient content study of immature rubber trees that applied slow release (SRF) and fast release (FRF) fertilizer has been conducted in Sungei Putih Research Centre. The method of this study followed a descriptive-analysis method by comparing the content of N, P, K and Mg on the leaf of immature rubber trees under application of SRF and FRF. The results indicated that N leaf content with SRF application significantly higher (P<0.01) than FRF consecutive 3.15% and 2.93%. The similar circumstance also occurred in P leaf content i.e. 0.25% and 0.19% respectively. Conversely, K and Mg content in SRF application was significantly lower than FRF (P<0.01). K and Mg content was 0.94% and 0.27% in SRF meanwhile in FRF, K and Mg content was 1.2% and 0.33%. The nutrient status of N and P in SRF application was better compared to in FRF. On the other hand the similar condition did not appear in nutrient status of K and Mg. The status of K in SRF application was not better other than FRF application. In the meantime there was no different of Mg status between SRF and FRF application.
CONTROLLING OF POLYPHENOL OXIDASE-BASED BROWNING IN SELECTED FRUITS AND VEGETABLES
Authors: Kausar Amna
Published: August 2020

The activity of polyphenol oxidase (PPO) lowers the nutritive qualities, and hence lower the cost of the fruits and vegetables. The present study was designed to use different physical and chemical treatments in fruits and vegetables for inactivation of PPO. The crude PPO was extracted from selected fruits (Apple, Banana, Mango, Grapes, Peach) and vegetables (Potato, Eggplant, and Lettuce) using standard protocols and PPO activity was recorded with spectrophotometer using catechol as substrate. Physical treatments were performed at 4C, 45C and 5C for 20 minutes. The chemical treatments were performed using EDTA (1mg/L), ascorbic acid (0.5%), sodium chloride (1g/L), citric acid (0.75%) and honey (10% and 50%). Results indicated that PPO inhibition was maximum in banana (20.699%) at 55C for 20 minutes. The PPO extract from mango showed maximum inhibition (75.930%) with 50% honey. In vegetables, the PPO extract of potato showed (38.731%) inhibition at 4�C for 20 minutes and (72.874%) with 50% honey. The results indicated that storage at 4�C and treatment with citric acid (0.75%), ascorbic acid (0.5%), and honey (10% and 50%) were most effective for reduction of enzymatic browning in plant products. Results of this study provide bases for the development of dual control strategies to prevent browning of fruits, vegetables and other food products.
Effect of Uniaxial Tension-Induced Plastic Strain on the Microstructure and Corrosion Behavior of 13Cr Martensitic Stainless Steel
Authors: Salahi Salar , Kazemipour Mostafa , Nasiri Ali
Published: August 2020

This study aims to understand the correlation between the manufacturing process-induced plastic deformation, microstructure, and corrosion behavior of a 13Cr martensitic stainless steel tubing material (UNS S42000). Comparisons were made between the microstructure, crystallographic orientation, and corrosion performance of a texture-free, heat-treated sample and uniaxially tensioned samples to the elongations of 5% and 22%. Cyclic potentiodynamic polarization tests and electrochemical impedance spectroscopy were performed on all samples in aerated 3.5 wt% NaCl electrolyte at room temperature. Overall, the corrosion resistance of the samples was found to decrease with increasing deformation level. A more stable and higher corrosion potential and pitting potential values with a better stability of the passive film were derived for the nondeformed sample, whereas the 5% and 22% elongated samples exhibited lower corrosion and pitting potential values and were characterized by having a less stable passive layer. All samples consistently revealed micropit formation on the lath boundaries where a high concentration of chromium carbide precipitates was detected. Increasing the level of plastic strain in 13Cr stainless steel was found to enlarge the size of sensitized regions along the matrix/coarse chromium carbide precipitates interface, leading to more regions susceptible to initiation and propagation of pitting.
SPATIO-TEMPORAL OBJECT STABILITY FOR MONITORING EVOLVING AREAS IN SATELLITE IMAGE TIME SERIES
Authors: Tuna C. , Merciol F. , Lefèvre S.
Published: August 2020

Abstract. Monitoring observable processes in Satellite Image Time Series (SITS) is one of the crucial way to understand dynamics of our planet that is facing unexpected behaviors due to climate change. In this paper, we propose a novel method to assess the evolution of objects (and especially their surface) through time. To do so, we first build a space-time tree representation of image time series. The so-called space-time tree is a hierarchical representation of an image sequences into a nested set of nodes characterizing the observed regions at multiple spatial and temporal scales. Then, we measure for each node the spatial area occupied at each time sample, and we focus on its evolution through time. We thus define the spatio-temporal stability of each node. We use this attribute to identify and measure changing areas in a remotely-sensed scene. We illustrate the purpose of our method with some experiments in a coastal environment using Sentinel-2 images, and in a flood occurred area with Sentinel-1 images.
NOISE-TOLERANT HYPERSPECTRAL IMAGE CLASSIFICATION USING DISCRETE COSINE TRANSFORM AND CONVOLUTIONAL NEURAL NETWORKS
Authors: Voulodimos A. , Fokeas K. , Doulamis N. , Doulamis A. , Makantasis K.
Published: August 2020

Abstract. Hyperspectral image classification has drawn significant attention in the recent years driven by the increasing abundance of sensor-generated hyper- and multi-spectral data, combined with the rapid advancements in the field of machine learning. A vast range of techniques, especially involving deep learning models, have been proposed attaining high levels of classification accuracy. However, many of these approaches significantly deteriorate in performance in the presence of noise in the hyperspectral data. In this paper, we propose a new model that effectively addresses the challenge of noise residing in hyperspectral images. The proposed model, which will be called DCT-CNN, combines the representational power of Convolutional Neural Networks with the noise elimination capabilities introduced by frequency-domain filtering enabled through the Discrete Cosine Transform. In particular, the proposed method entails the transformation of pixel macroblocks to the frequency domain and the discarding of information that corresponds to the higher frequencies in every patch, in which pixel information of abrupt changes and noise often resides. Experiment results in Indian Pines, Salinas and Pavia University datasets indicate that the proposed DCT-CNN constitutes a promising new model for accurate hyperspectral image classification offering robustness to different types of noise, such as Gaussian and salt and pepper noise.
GENERAL DEEP LEARNING SEGMENTATION PROCESS USED IN REMOTE SENSING IMAGES
Authors: Wang H.-C.
Published: August 2020

Abstract. In the present research, we aim at constructing a general segmentation process for different kinds of remote sensing images and various use cases. We focus on the differences in characteristics of the remote sensing and ordinary images, such as irregular shape, lack of labeled images, and normalization issues. The process includes labeling, preprocessing, augmentation, test data sampling, model building, as well as prediction and merging steps. Labeling serves to identify target objects represented in remote sensing images efficiently. The preprocessing step can be applied to reshape an image aiming to fit the requirements of the general artificial intelligence (AI) model and to accelerate steps. Augmentation mitigates the shortage of labeled images. Test data sampling is performed to evaluate the model performance. Finally, prediction and merging are applied to output a full-sized remote sensing image prediction result. In this research, the landslide segmentation, crop farmland segmentation, and cloud segmentation tasks are considered to evaluate the process. Intersection of union (IOU) is employed as evaluation metric. Eventually, we achieve the performance of 72% IOU in the landslide segmentation task, 83% IOU in the crop farmland recognition task, and the 86% IOU in cloud segmentation task by using the proposed process. This supports that the developed process can by further applied considering different remote sensing images and use cases.
BINOCULAR VISUAL ENVIRONMENT PERCEPTION TECHNOLOGY FOR UNMANNED SURFACE VEHICLE
Authors: Wang Y. , Peng M. , Liu Z. , Wan W. , Di K. , Hu C. , Liu L. , Lv T. , Yang C.
Published: August 2020

Abstract. Binocular vision system is an essential way for target localization in many fields, which has been widely used as payload of unmanned surface vehicles (USV). High resolution cameras, which can provide richer information, are utilized more often on a USV. This brings challenges of computing tremendous data for target detection and localization in real-time. In this paper, we propose an framework to automatically detect and localize target using high resolution binocular cameras for environment perception of USV. Instead of processing the whole image, the feature extraction and matching are executed within the target region of interest determined by a deep convolution network. Then the target can be localized using triangulation principle with calibrated binocular camera parameters. Experiments show that our proposed strategy can achieve both precise detection and high accurate localization results in real-time applications.
MOVING SHIP DETECTION AND MOVEMENT PREDICTION IN REMOTE SENSING VIDEOS
Authors: Wang Y. , Cheng H. , Zhou X. , Luo W. , Zhang H.
Published: August 2020

Abstract. With the rapid development of remote sensing technology, it is possible to obtain continuous video data from outer space successfully. It is of great significance in military and civilian fields to detect moving objects from the remote sensing image sequence and predict their movements. In recent years, this issue has attracted more and more attention. However, researches on moving object detection and movement prediction in high-resolution remote sensing videos are still in its infancy, which is worthy of further study. In this paper, we propose a ship detection and movement prediction method based on You-Only-Look-Once (YOLO) v3 and Simple Online and Realtime Tracking (SORT). Original YOLO v3 is improved by multi-frame training to fully utilize the information of continuous frames in a fusion way. The simple and practical multiple object tracking algorithm SORT is used to recognize multiple targets detected by multi-frame YOLO v3 model and obtain their coordinates. These coordinates are fitted by the least square method to get the trajectories of multiple targets. We take the derivative of each trajectory to obtain the real-time movement direction and velocity of the detected ships. Experiments are performed on multi-spectral remote sensing images selected on Google Earth, as well as real multi-spectral remote sensing videos captured by Jilin-1 satellite. Experimental results validate the effectiveness of our method for moving ship detection and movement prediction. It shows a feasible way for efficient interpretation and information extraction of new remote sensing video data.
EFFICIENT BUILDING CATEGORY CLASSIFICATION WITH FAÇADE INFORMATION FROM OBLIQUE AERIAL IMAGES
Authors: Xiao C. , Xie X. , Zhang L. , Xue B.
Published: August 2020

Abstract. Building category refereed to categorizing structures based on their usage is useful for urban design and management and can provide indexes of population, resource and environment related problems. Currently, the statistics are mainly collected by manual from street data or roughly extracted from remote sensing data which are either laborious or too coarse. With remote sensing data (e.g. satellite and aerial images), buildings can be automatically identified from the top-view, but the detailed categories of single buildings are not recognized. Façade from oblique-view image can greatly help us to identify the categories of buildings, for example, balcony usually exist in resident buildings. Hence, in this paper, we propose an efficient way to classify building categories with the façade information. Firstly, following the texture mapping procedure, each building’s façade textures are cropped from oblique images via a perspective transformation. Then, the average colour, the stander deviation in R, G, B channel, and the rectangle Haar-like features are extracted and feed to a further random forest classifier for their category identifications. In the experiment, we manually selected 262 building façades that can be classified into four functional types as: 1) regular residence ; 2) educational building; 3) office ; 4) condominium. The results shows that, with 30% data as training samples, the classification accuracy can reach 0.6 which is promising in real applications and we believe with more sophisticated feature descriptors and classifiers, e.g., neuronal networks, the accuracy can be much higher.
ROAD EXTRACTION AND VECTORIZATION FROM AERIAL IMAGE DATA
Authors: Zhu L. , Li Y. , Shimamura H.
Published: August 2020

Abstract. The objective of this study is the automatic extraction of the road network in a scene of the urban area from high resolution aerial image data. Our approach includes two stages aiming to solve two important issues respectively, i.e., an effective road extraction pipeline, and a precise vectorized road map. In the first stage, we proposed a so-called all element road model which describes a multiple-level structure of the basic road elements, i.e. intersection, central line, side lines, and road plane based on their spatial relations. An advanced road network extraction scheme was proposed to address the issues of tedious steps on segmentation, recognition and grouping, using the digital surface model (DSM) only. The key feature of the proposed approach was the cross validation of the road basic elements, which was applied all the way through the entire procedure of road extraction. In the second stage, the regularized road map was produced where center line and side lines subject to parallel and even layout rules. It gives more accurate and reliable map by utilizing both the height information of the DSM and the color information of the ortho image. Road surface was extracted from the image by region growing. Then, a regularized center line was modeled by linear regression using all the pixels of the road surface. The road width was estimated and two road side lines were modeled as the straight lines parallel with the center line. Finally, the road model was built up in terms of vectorized points and lines. The experimental results showed that the proposed approach performed satisfactorily in our test site.
APPLICATION OF TEMPORAL CONVOLUTIONAL NEURAL NETWORK FOR THE CLASSIFICATION OF CROPS ON SENTINEL-2 TIME SERIES
Authors: Račič M. , Oštir K. , Peressutti D. , Zupanc A. , Čehovin Zajc L.
Published: August 2020

Abstract. The recent development of Earth observation systems – like the Copernicus Sentinels – has provided access to satellite data with high spatial and temporal resolution. This is a key component for the accurate monitoring of state and changes in land use and land cover. In this research, the crops classification was performed by implementing two deep neural networks based on structured data. Despite the wide availability of optical satellite imagery, such as Landsat and Sentinel-2, the limitations of high quality tagged data make the training of machine learning methods very difficult. For this purpose, we have created and labeled a dataset of the crops in Slovenia for the year 2017. With the selected methods we are able to correctly classify 87% of all cultures. Similar studies have already been carried out in the past, but are limited to smaller regions or a smaller number of crop types.
FLOOD DETECTION IN TIME SERIES OF OPTICAL AND SAR IMAGES
Authors: Rambour C. , Audebert N. , Koeniguer E. , Le Saux B. , Crucianu M. , Datcu M.
Published: August 2020

Abstract. These last decades, Earth Observation brought a number of new perspectives from geosciences to human activity monitoring. As more data became available, Artificial Intelligence (AI) techniques led to very successful results for understanding remote sensing data. Moreover, various acquisition techniques such as Synthetic Aperture Radar (SAR) can also be used for problems that could not be tackled only through optical images. This is the case for weather-related disasters such as floods or hurricanes, which are generally associated with large clouds cover. Yet, machine learning on SAR data is still considered challenging due to the lack of available labeled data. To help the community go forward, we introduce a new dataset composed of co-registered optical and SAR images time series for the detection of flood events and new neural network approaches to leverage these two modalities.
SCAN-TO-BIM FOR THE MANAGEMENT OF HERITAGE BUILDINGS: THE CASE STUDY OF THE CASTLE OF MAREDOLCE (PALERMO, ITALY)
Authors: Allegra V. , Di Paola F. , Lo Brutto M. , Vinci C.
Published: August 2020

Abstract. Conservation and preservation of heritage buildings require the knowledge and sharing of a great deal of data and information about buildings. Such information comes from the different disciplines involved in the restoration and maintenance processes. The integration and use of all this information in a single working environment is a key factor for the success of historical building conservation and management projects. Heritage (or Historic) Building Information Modelling (HBIM) is nowadays the most appropriate tool to collect and manage all data related to Architectural Heritage. The HBIM process requires an in-depth knowledge of the historical building that can be achieved using a detailed 3D survey and adequate parametric modelling. For this reason, the Scan-to-BIM approach, which involves creating the BIM model from a laser scanner survey, is widely used. The work focuses on the application of the Scan-to-BIM process to a historical/archaeological building in Palermo (Italy), the Castle of Maredolce. The work aims to obtain an HBIM of the building but the paper deals also with the survey issues and the modelling challenges, focusing on the different modelling approach between parametric and not-parametric architectural elements. The most difficult challenge of the modelling step was to obtain parametric objects of the complex geometries of the historical building. The work has allowed achieving the HBIM of the Castle of Maredolce and has highlighted some issues and advantages of the Scan-to-BIM approach.
BUILDING ARCHAEOLOGY DOCUMENTATION AND ANALYSIS THROUGH OPEN SOURCE HBIM SOLUTIONS VIA NURBS MODELLING
Authors: Diara F. , Rinaudo F.
Published: August 2020

Abstract. The implementation of historical information within BIM (Building Information Modelling) platforms has experienced great development processes during last years, generating excellent studies based on Historic Building Information Modelling (Murphy et al., 2009; 2013). The HBIM developing growth is certainly explained due to advantages concerning the documentation step as well as monitoring operations for Cultural Heritage assets. In this sense, information concerning historical architectures can be extracted directly from walls and masonries and it is related to stratigraphic information derived from archaeological analysis: this kind of analysis is fundamental in order to comprehend the evolution of the construction site through the identification of layers due to modifications and actions (Parenti R., 2000).The inclusion of stratigraphic analysis inside a HBIM workflow could be an innovative point as far as the management and monitoring is concerned. This kind of documentation, that was not designed to be included inside a common BIM platform, could be collected coupled with digital metric information derived from metric surveys even if it is still considered an ongoing research field, especially since Cultural Heritage assets have no BIM standard classification. For this reason, the main goal of this research is to adapt the possibilities of open source solutions concerning BIM methodologies to building archaeology documentation and analysis exploring unconventional strategies and also overcoming 3D modelling limitations of BIM software with free form modeler based on NURBS algorithm (Oreni et al., 2014), developing a particular scan-to-BIM process that, owing to the used opens source solutions and algorithm, can be renamed scan-to-openBIM via NURBS.
3D IMAGE-BASED SURVEYING OF THE SAFE OF THE OBELLIO FIRMO DOMUS IN POMPEII
Authors: Francolini C. , Girelli V. A. , Bitelli G.
Published: August 2020

Abstract. This paper shows an application of image-based 3D modelling concerning an interesting case study in the field of Cultural Heritage, a safe located in the Obellio Firmo domus in Pompeii (Italy), one of the largest and most complex houses in the ancient city. The object was strongly deformed by the eruption of Vesuvius in 79 A.D. and is currently protected by a permanent glass that helps to preserve it over time. The surveying activities and processing methodology is explained, based on Multi-View Structure from Motion technique, as well as the unconventional solution adopted during the images acquisition. Finally, an attempt will be presented to reconstruct the hypothetical original three-dimensional appearance and shape of the safe.
3D DIGITISATION IN CULTURAL HERITAGE KNOWLEDGE AND PRESERVATION: THE CASE OF THE NEPTUNE STATUE IN BOLOGNA AND ITS ARCHETYPE
Authors: Girelli V. A. , Tini M. A. , D’Apuzzo M. G. , Bitelli G.
Published: August 2020

Abstract. In the field of Cultural Heritage, the availability of a complete, detailed and photo-realistic 3D model of the objects of interest permits to describe all the aspects related to geometry, colours and materials, as well as the work techniques and the decay state. Besides, it offers multiple possibilities for the documentation, the analysis and the study.This paper describes the experience, carried out by the DICAM Geomatics group of the University of Bologna, about the 3D digitisation of two important statues of Neptune, by means of the integration of 3D image-based and range-based techniques. The two artworks, both realized by the sculptor Giambologna, are the big bronze statue of the god adorning the homonymous fountain, one of the most symbolic monuments of the city of Bologna, and its archetype, exhibited in one of the civic museums.The obtained 3D models, beyond the important function of documentation, knowledge and preservation of the two objects, also permit a comparison between the small archetype, conveniently scaled, and the big final statue. In the manuscript all the surveying and data processing operations concerning the objects digitisation are described. Particular attention is paid to the problems related to the scale of the archetype and the comparison between the two obtained 3D models, with the aim to evaluate and represent the occurred changes.