bluuebunny/crossref_metadata_2025 huggingface dataset:
O Protocolo de Julgamento com Perspectiva de Gênero como resposta institucional à pretensa universalização do feminino, amparada nos esforços internacionais de eliminação de todas as formas de discriminação contra as mulheres
Authors: Ferraz Deise Brião , Costa Marli Marlene Moraes da
Published: June 2023

Este artigo tem por objetivo geral investigar se o Protocolo de Julgamento com Perspectiva de Gênero do CNJ pode ser parte de uma resposta institucional às desigualdades estruturais de gênero que também atravessam o poder judiciário e que são agravadas diante da interseccionalidade de outros marcadores sociais que se sobrepõem, especificamente quando do seu ingresso no judiciário. Trata-se de pesquisa exploratória, com método de pesquisa bibliográfico e documental. O resultado aponta no sentido de que há uma racionalidade misógina que especifica e reforça estereótipos de gênero e que atravessa também o judiciário refletindo nas demandas judiciais mesmo quando não versam explicitamente sobre gênero. Logo, o Protocolo de Julgamento pode servir potencialmente como parte de uma resposta institucional para clarificar a atuação do Judiciário através do reconhecimento e mitigação das desigualdades, com efeitos na atuação, interpretação, aplicação e produção do Direito. A relevância desse trabalho se justifica não apenas pelos parâmetros internacionais que guiam a formalização do Protocolo, mas especialmente por sua proposição de reconhecer e lidar com as questões de gênero transversais aos procedimentos judiciais. Considerando-se que a aplicação do Protocolo se tornou obrigatória no mês de março de 2023, sua recenticidade reforça a originalidade e ineditismo do tema.
Small-Sided Games versus Continuous Endurance Training
in Female Handball Players
Authors: Bělka Jan , Hůlka Karel , Šafář Michal
Published: June 2023

The main aim of the study was to compare the training methods of continuous endurance training versus handball small-sided games (SSGs) in female handball players during the preseason. Eighteen female handball players from a first league in the Czech Republic voluntarily participated in the study. They were divided into two groups (the SSG group [n = 9; age: 21.22 ± 3.03 years] and a running group (RG) [n = 9; age: 23.78 ± 3.77 years]). Both groups continued regular preseason training for six weeks. The SSG group played two small-sided games per week (a total of 12 games during the monitoring period) in their training sessions during the monitored six-week period. The RG ran twice per week, participating in continuous endurance training in the 12 training sessions during the monitored six-week period. Fitness tests (pretest/posttest) were performed prior to the six weeks of intervention and one week afterwards. The order of the fitness tests in sequence was as follows: 20-m and 30-m sprints, a Modified Agility T test (MAT), a Standing Long-Jump Test, ball-throwing velocity, and a Yo-Yo Intermittent Test level 1. In the SSG group, there was a significant improvement in the T test (p = 0.034), ball-throwing velocity (p = 0.019), and the Yo-Yo IR1 (p = 0.003) performance. The RG showed a significant improvement in the Standing Long-Jump Test (p = 0.049), ball-throwing velocity (p = 0.003), and the Yo-Yo IR1 (p = 0.003) performance. In conclusion, the SSGT method had a positive effect on female players’ MAT, ball-throwing velocity and YoYo IR1 results, and the CERT method had a significant effect only on the YoYo IR1 results. Handball SSGs are a more suitable training method due to exercise specificity.
Analysis of Fluency of Movement in Parkour Using a Video
and Inertial Measurement Unit Technology
Authors: Feletti Francesco , Bracco Cristian , Takeko Molisso Maria , Bova Lorenzo , Aliverti Andrea
Published: June 2023

Fluency is a movement parameter combining smoothness and hesitation, and its objective measurement may be used to determine the effects of practice on sports performance. This study aimed to measure fluency in parkour, an acrobatic discipline comprising complex non-cyclical movements, which involves fluency as a critical aspect of performance. Inter-individual fluidity differences between advanced and novice athletes as well as intra-individual variations of fluency between different parts and subsequent repetitions of a path were addressed. Seventeen parkour participants were enrolled and divided into two groups based on their experience. We analysed signals captured from an inertial measurement unit fixed on the back of the pelvis of each participant during three consecutive repetitions of a specifically designed parkour routine under the guidance of video analysis. Two fluency parameters, namely smoothness and hesitation, were measured. Smoothness was calculated as the number of inflexions on the so-called jerk graph; hesitation was the percentage of the drop in the centre of mass velocity. Smoothness resulted in significantly lower values in advanced athletes (mean: 126.4; range: 36–192) than in beginners (mean: 179.37; range: 98–272) during one of the three motor activities (p = 0.02). A qualitative analysis of hesitation showed that beginner athletes tended to experience more prominent velocity drops and negative deflection than more advanced athletes. In conclusion, a system based on a video and an inertial measurement unit is a promising approach for quantification and the assessment of variability of fluency, and it is potentially beneficial to guide and evaluate the training process.
Apparent diffusion coefficient and T2* mapping on 3T MRI in normal and degenerative lumbar intervertebral discs
Authors: Kapoor Reetika , Rangankar Varsha Purushottam , Kumar Divyajat , Raina Shashank , Revikumar Akhil , Mohanan Karthik
Published: June 2023

Purpose

To assess the utility of diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) maps and T2* mapping in quantitative analysis of nucleus pulposus (NP) and annulus fibrosus (AF) of lumbar intervertebral discs with its correlation with modified Pfirrmann grading (MPG) for lumbar degenerative disc disease (LDDD).

Material and methods

One hundred subjects (20-74 years of age) underwent T2-weighted, DWI with ADC and T2* magnetic resonance imaging. MPG was applied to L3-L4, L4-L5, and L5-S1 discs, and ADC and T2* values of NP and AF were calculated in the mid-sagittal plane by segmenting each disc into 5 regions of interest (ROI) (NP-3, AF-2). Mean ADC and T2* values, their correlation, and cut-offs among different grades were calculated at different ROIs across different levels.

Results

Out of total 300 discs analysed; 68 were normal (grade I) discs and 232 were degenerated (grade II to VIII) discs, based on MPG. T2* and ADC values in NP, AF, and the entire disc were significantly lower in degenerated discs than in normal discs. There was significant (p < 0.001) negative correlation between ADC and T2* values with MPG. ADC and T2* cut-off values were statistically significant across grades, with area under the curve (AUC) values in moderate to high accuracy range (0.8 to > 0.9) for assessing the degree of LDDD.

Conclusions

T2* and ADC value-based grade scales are highly accurate in evaluating the degree of disc degeneration with a high degree of objectivity in comparison to visual assessment-based MPG. Reduced ADC and T2* values of NP could serve as markers of early LDDD.
Trans and Genderqueer Subjects in Medieval Hagiography
Authors: Spencer-Hall Alicia , Gutt Blake , Spencer-Hall Alicia , Newman Martha G. , McLoughlin Caitlyn , Elphick Kevin C. A. , Szabo Felix , Sexon Sophie , Wright Vanessa , Colwill Lee , Ogden Amy V. , Bychowski Gabrielle M. W. , van Dijk Mathilde
Published: June 2023

Trans and Genderqueer Subjects in Medieval Hagiography presents an interdisciplinary examination of trans and genderqueer subjects in medieval hagiography. Scholarship has productively combined analysis of medieval literary texts with modern queer theory – yet, too often, questions of gender are explored almost exclusively through a prism of sexuality, rather than gender identity. This volume moves beyond such limitations, foregrounding the richness of hagiography as a genre integrally resistant to limiting binaristic categories, including rigid gender binaries. The collection showcases scholarship by emerging trans and genderqueer authors, as well as the work of established researchers. Working at the vanguard of historical trans studies, these scholars demonstrate the vital and vitally political nature of their work as medievalists. Trans and Genderqueer Subjects in Medieval Hagiography enables the re-creation of a lineage linking modern trans and genderqueer individuals to their medieval ancestors, providing models of queer identity where much scholarship has insisted there were none, and re-establishing the place of non-normative gender in history.
Makine Öğrenmesi İle Eksik Veri Tamamlama Yöntemlerinin Sınıflandırma Performansına Etkileri
Authors: Erken Şemsettin , Şenyay Levent
Published: June 2023

Araştırma yapmak üzere toplanmış veri setlerindeki değerlerde eksiklerin olması sıklıkla karşılaşılan bir problemdir. Bu problemi çözmek adına literatürde, eksik değerlerin tamamlamasına ilişkin yöntemler bulunmaktadır. Bilgi teknolojileri ve veri yönetimindeki gelişmelerle birlikte ilgili probleme ilişkin yöntemler artmış ve makine öğrenmesi yöntemleri de eksik değerleri tamamlamada kullanılmaya başlanmıştır. Çalışma kapsamında, literatürde sıklıkla yararlanılan “Hitters” veri seti kullanılmıştır. Bu veri setindeki değerler, manipüle edilerek eksiltilmiş ve eksiltilen değerler Liste Boyunca Silme, Son Gözlemi İleri Taşıma, Ortalama Atama gibi temel eksik değer tamamlama yöntemlerinin yanı sıra Stokastik Regresyon, En Yakın k- Komşu algoritması, Random Forest algoritması ve Amelia algoritması gibi makine öğrenmesi yöntemleriyle tamamlanmıştır. Veri setinin eksiltilmemiş hali ve eksik değerleri, bahsedilen yöntemlerle tamamlanarak elde edilen veri setleri, WEKA paket programı kullanılarak Naive Bayes algoritmasıyla sınıflandırılmıştır. Sınıflandırma sonuçları, sınıflandırma süresi, doğruluk, kesinlik, duyarlılık, F-ölçütü ve ROC alanı performans değerlendirme kriterleriyle kıyaslanmıştır. Çalışmanın sonucunda, makine öğrenmesi yöntemlerinin, eksik veri tamamlamada ve sınıflandırma operasyonlarının performanslarını yükseltmede başarılı sonuçlar ortaya koyduğu görülmüştür.
Aldi Süd holt starke Marken zurück
Authors: Schulz Hans-Jürgen , Lattmann Christian
Published: June 2023

Aldi Süd hat mit Mars, Jacobs und Beiersdorf drei große Hersteller zu teils deutlich höheren Preisen zurück ins Sortiment genommen. Aldi Nord holt zwar Beiersdorf zurück, verzichtet aber dauerhaft auf eine Reihe von Marken.
Rügenwalder bringt Veggie ins Ausland
Authors: Adelhardt Andrea
Published: June 2023

Dass Wettbewerber die Fleischersatz-Regale fluten und der Markt kein Selbstläufer mehr ist, bekommt Rügenwalder Mühle zu spüren. In diesem Jahr sollen mehr als 20 neue Produkte die Umsätze ankurbeln – sowie erstmals ein Veggie-Geschäft im Ausland.
„Wir können Milch nicht immer dorthin fahren, wo die beste Verwertung wartet“
Authors: Murmann Christoph
Published: June 2023

DMK als größter deutscher Milchverarbeiter hat mit dem steilen Anstieg der Erzeugerpreise auf 60 Cent im vorigen Jahr und dem Absturz auf 40 Cent in diesem eine Achterbahnfahrt hinter sich.
Natürliche Inhaltsstoffe bevorzugt
Authors: Heimig Dieter
Published: June 2023

Mit zunehmend heißen Sommern wächst der Absatz von Sonnenschutz für Kinder. Dieter Heimig
Von der Fläche auf die große Bühne
Authors: Nusser Bernd
Published: June 2023

Wie erstmals schon im Vorjahr wurden die „Supermarkt Stars“ bei der zehnten Auflage erneut erst unmittelbar vor der feierlichen Preisverleihung gewählt. Spannung und Emotionen waren da förmlich zu greifen.
Prominente Handelsexpertise im Fokus
Authors: Rück Daniela
Published: June 2023

Geballtes Experten-Know-how auf der Kongressbühne beim coolen Festivaltag – namhafte Referenten widmeten sich wieder einem wahren Potpourri an prominenten Themen.
Jetzt spricht Özdemir
Authors: Schirmacher Henrike , Vetter Bernhard
Published: June 2023

Berlin. Seinen Kritikern gilt er als Ankündigungsminister, doch das ficht Cem Özdemir augenscheinlich nicht an. Im Interview mit der agrarzeitung verweist er auf seine Erfolge.
Attraktive Preisgestaltung gesucht
Authors: Pionke Stefanie
Published: June 2023

Pflanzenbasierte Lebensmittel mischen den Proteinmarkt zunehmend auf. Die Umsätze steigen und die Anbauflächen für Acker- und Sojabohnen haben sich in den letzten Jahren vervielfacht. Der Anteil insgesamt bleibt allerdings marginal. Während die Bundesregierung mit ihrer Ackerbaustrategie für mehr Hülsenfrüchte auf den Feldern sorgen will, zeigen einige Landwirt:innen bereits Innovationskraft und zielgerichtete Marktstrategien, auch wenn die Lücke zu den „Cash Crops“ noch immer signifikant ist. Indes zeigen sich in der neuen GAP-Periode Förderlücken. Erfolgsentscheidend bleibt am Ende der Preis.
„Wir zeigen verschiedene Stellschrauben“
Authors: Leißner Martina
Published: June 2023

München. Das QM-Nachhaltigkeitsmodul Milch zeigt Landwirten Verbesserungsmöglichkeiten auf. Was hinter dem Modul steckt, erklärt Tomke Lindena vom Thünen-Institut in Braunschweig.
Contributions of remote collaborative sketching to the design of infovis in public health
Authors: Velloso Leandro Manuel Reis , Fontes de Carvalho Mailson , Momberg Araújo Gabriela , Marcus Jarske Johne , Anísio Garcia Luciano , Sérgio de Souza Luiz , Ito Marcia , Nice Alves-Souza Solange , Letícia dos Santos Tânia , Mathias Fernandes Henrique , Vilela Leite Filgueiras Lucia
Published: June 2023

This paper presents contributions from using remote collaborative sketching to infovis for public health. The results come from an interdisciplinary study that involved designers, health researchers, public managers and computer scientists in the production of sketches generating alternatives for creating valuable graphics and dashboards. One of the creative stages was the remote collaborative workshops in which design alternatives were proposed based on sketches. The sketches were developed with the support of videoconferencing meetings, virtual boards, and graphic tablets. From this practice, we were able to include as contributions to the creative process in infovis: remote collaboration expansion; agile and iterative cycles improvement; interface design preview; data modeling supporting; addressing graphic literacy issues; creative process documentation; participant experience improvement; and additional information incorporation.
Teresina e as moradias da região central da cidade (1852-1952)
Authors: Moreira Amanda Cavalcante
Published: June 2023

This research deals with urban housing in Brazil, notably in the period that goes from the second half of the 19th century to the middle of the 20th century, having as its north the transformations resulting from the search for modernity, health and comfort and their relationship with the architectural styles adopted. For that, it analyzes the residences built in the central region of the city of Teresina, founded to become the capital of the State of Piauí, which, together with social and economic factors, technical limitations and local climatic conditions, originated an architecture of very peculiar characteristics. It seeks, therefore, to understand and characterize the transformations that took place, as well as their diffusion in the city, focusing on the agents involved in this process and on the appropriation of the Teresina society of the different residential typologies. It is based mainly on documentation consulted in local and private archives - such as almanacs, newspapers, reports, legislation and images from the time -, surveys, interviews, as well as bibliography of local historians, with emphasis on Teresinha Queiroz, Monsenhor Chaves and Odilon Nunes. In order to support the analyses, it also seeks theoretical support in consolidated authors such as Carlos A. C. Lemos and Nestor Goulart Reis Filho. It contributes, in this way, to broaden the knowledge of the production of urban housing in Teresina-PI, so little present in the historiography of Brazilian architecture.
A concepção dos alunos do curso técnico em Meio Ambiente do Instituto Federal do Piauí sobre a modalidade de Ensino a Distância na formação de técnicos de qualidade
Authors: Soares Francisco Marcos Pereira
Published: June 2023

When we reflect a little about Distance Education (EaD), we focus on a scenario of questions centered on the teaching-learning process. In the technical course on the Environment at the Federal Institute of Piauí, notably at the Buriti dos Montes Pole - PI, these concerns arise along with questions about how to combine theory with practice from the perspective of quality distance learning. In this way, the general objective of the research was to know the vision of the students of the Technical Course in Environment of the Federal Institute of Education, Science and Technology of Piauí - Polo Buriti dos Montes, in relation to the challenges of access and permanence faced during the course to distance. The methodological direction was included in the qualitative research aspect and the production of data was carried out through the application of a questionnaire to 25 students of the mentioned course. Bardin's (1979) content analysis technique was used to organize and analyze the data found. The observational analyzes and the testimonies of the students reveal that, when participating in this experience in distance education, they began to conceive this teaching modality as a facilitator of learning and a trainer of research students, allowing the construction of the autonomy of the participants. According to some students, distance learning is advantageous due to the flexibility of schedules and few face-to-face classes. In this way, although there is a difference between traditional teaching and distance learning, it is up to each one to build their autonomy for their own development.
Kanıt Temelli Etkinliklerle Akademik Başarıyı Geliştirmeye Yönelik Bir Eylem Araştırması
Authors: GİNESAR Özkan
Published: June 2023

Sosyal Bilgiler Dersi Öğretim Programı’nda çeşitli yerlerinde kanıtlardan bahsedilerek, öğrencilerde kanıtları kullanma becerilerinin, sorgulama ve eleştirel düşünme becerilerinin geliştirilmesi amaçlanmaktadır. Kanıt temelli etkinliklerin öğrencilerdeki akademik başarıyı nasıl etkilediğini ortaya koymak amacıyla gerçekleştirilen bu çalışmada nitel araştırma yöntemlerinden eylem araştırması kullanılarak yapılmıştır. Araştırmada eylem araştırması türlerinden “özgürleştirici/geliştirici/eleştirel yaklaşımı kullanılmıştır. Araştırmanın katılımcıları kolay ulaşılabilir durum örneklemesiyle belirlenmiştir. Bu çerçevede araştırmanın uygulaması 2021-2022 eğitim öğretim yılının güz döneminde 7. Sınıf öğrencileri ile gerçekleştirilmiştir. Araştırma verileri, kanıt temelli hazırlanan etkinlikler, sınıf içi iletişim kayıtları, akademik başarıyı değerlendirme sınavları ile öğrenci ürünleri kullanılmıştır. Araştırma verileri içerik analizi ile işlenmiştir. Araştırma sonuçlarına göre öğrencilerin ortaya koyduğu ürünlerin önemli bir bölümünün “İyi” ve “Çok İyi” kategorisinde bulunduğunu söylenilebilir. Verilerin analiziyle kanıt temelli öğrenme öncesi ve sonrası gerçekleştirilen akademik başarıyı değerlendirme sınavı ortalamalarında, uygulama sonrası ciddi artış olduğu sonucuna ulaşılmıştır.
O SECRETARIADO EXECUTIVO E A FUNÇÃO DE COGESTOR: UM RELATO DE EXPERIÊNCIA NO CURSO DE EXTENSÃO EM LÍNGUA ESPANHOLA
Authors: Paula Franciele Natali de , Alencar Venan Lucas de Oliveira , Coelho Cristiane Ribeiro
Published: June 2023

O perfil do profissional de secretariado executivo passou por diversas transformações no decorrer da sua história e, nos últimos anos, com o avanço da tecnologia e com a eclosão da pandemia de COVID-19, as mudanças foram intensificadas. Tais mudanças fizeram com que o profissional adotasse um perfil ainda mais adaptável e analítico dentro das organizações, incorporando atividades multifuncionais, em nível gerencial e estratégico, que demandam conhecimentos, habilidades e competências complexas dentro das suas atribuições. Ante o exposto, o objetivo deste trabalho foi investigar se os profissionais de secretariado lotados nos Cursos de Extensão em Ensino de Línguas da Universidade Federal de Viçosa (UFV) atuam como cogestores. Como procedimento metodológico, realizou-se uma pesquisa bibliográfica, de natureza básica e abordagem qualitativa, desenvolvida por meio de uma pesquisa autoetnográfica. A partir dos dados coletados, foi possível analisar que as funções exercidas pelos estudantes de secretariado na instituição relacionam-se com as funções de um cogestor. Além da análise documental, também foi elaborado um relato autoetnográfico pela autora que atuou no Curso de Extensão em Língua Espanhola (CELES) reflexionando sobre as atividades realizadas como Secretária durante o seu período de estágio.
Microbial methane formation in deep aquifers associated withthe sediment burial history at a coastal site
Authors: Katayama Taiki , Ikawa Reo , Koshigai Masaru , Sakata Susumu
Published: June 2023

Abstract. Elucidating the mechanisms underlying microbial methane formation in subsurface environments is essential to understand the global carbon cycle and to explore natural gas deposits. This study examined how microbial methane formation (i.e. methanogenesis) occurs in natural gas-bearing sedimentary aquifers throughout the sediment burial history. Water samples collected from six aquifers of different depths exhibited ascending vertical gradients in salinity from brine to freshwater and in temperature from mesophilic to psychrophilic conditions. Analyses of gas and water isotopic ratios and microbial communities indicated the predominance of methanogenesis via CO2 reduction. However, the hydrogen isotopic ratio of water changed along the depth and salinity gradient, whereas the ratio of methane changed little, suggesting that in situ methanogenesis in shallow sediments does not significantly contribute to the methane in the aquifers. The population of methane-producing microorganisms (methanogens) was highest in the deepest saline aquifers, where the water temperature, salinity, and the total organic carbon content of the adjacent mud sediments were highest. Cultivation of the hydrogenotrophic methanogens that dominated in the aquifers showed that the methanogenesis rate was maximized at the temperature corresponding to that of the deepest aquifer. These results suggest that high-temperature conditions in deeply buried sediments are associated with enhanced in situ methanogenesis, and that methane formed in the deepest aquifer migrates upwards into the shallower aquifers by diffusion.
TRAFFIC SPEED MODELLING TO IMPROVE TRAVEL TIME ESTIMATION IN OPENROUTESERVICE
Authors: Ludwig C. , Psotta J. , Buch A. , Kolaxidis N. , Fendrich S. , Zia M. , Fürle J. , Rousell A. , Zipf A.
Published: June 2023

Abstract. Time-dependent traffic speed information at a street level is important for routing services to estimate accurate travel times and to recommend routes which avoid traffic congestion. Still, most open-source routing machines that use OpenStreetMap (OSM) as the primary data source rely on static driving speeds derived from OSM tags, since comprehensive traffic speed data is not openly available. In this study, a method was developed to model traffic speed by hour of day at a street level using open data from OpenStreetMap, Twitter and population data. The modelled traffic speed data was subsequently integrated into the open-source routing engine openrouteservice to improve travel time estimation in route planning. Machine learning models were trained for ten cities worldwide using traffic speed data from Uber Movement as reference data. Different indicators based on geolocation and timestamp of Twitter data as well as a geographically adapted betweeness centrality indicator were evaluated for their potential to improve prediction accuracy. In all cities, the Twitter indicators improved the model, although this effect was only visible for certain road types. The centrality indicator improved the model as well but to a lesser extent. The Google Routing API was used as reference to evaluate the accuracy in travel time estimation. Deviations in travel times were regionally different and were partly alleviated by including the raw traffic data by Uber or the modelled traffic speed data in openrouteservice.
SAFOMETER - ASSESSING SAFETY IN PUBLIC SPACES: THE URBAN AREA OF PRISHTINA
Authors: Neziri G. , Çapriqi D.
Published: June 2023

Abstract. This paper introduces SafoMeter, a framework for assessing safety in public spaces using an index-based evaluation system that combines objective safety indicators with subjective perceptions of safety. The methodology is piloted in the urban area of Prishtina, Kosovo, and involves field data collection using the mobile application Mergin to map data for objective indicators and gather user responses on perceived safety. Analysis is conducted using QGIS software to create a map that showcases safe and unsafe areas of the city, rated from 0 to 10, with 10 indicating the safest areas. The study results demonstrate that SafoMeter effectively identifies and visualizes areas in need of urgent safety interventions. The tool enables evidence-based decision-making for policymakers by utilizing geospatial data to identify specific locations that require interventions. SafoMeter provides a practical approach to assess safety in public spaces and guide place-based policies to enhance urban safety, particularly for marginalized groups.
DESIGNING A FOSS4G-BASED WALKABLE LIVING AREA PLANNING SUPPORT MODULE TO ASSISTS THE KOREAN 15-MINUTE CITY
Authors: Choi J. Y. , Choi S. B. , Lee J. H. , Kim T. H. , Im W. S.
Published: June 2023

Abstract. In Korea, there have been conversations about promoting the planning of walkable communities based on Chrono-Urbanism, a concept that is the foundation of the 15-minute city, in which residents can get services necessary for their daily life in the same place where they live. Chrono-Urbanism-based planning support assesses the walkability of services for various age groups based on the distance to reach physical activity centers such as walking and bicycling from small living area units, and places essential living infrastructure or urban amenities. Using Free and Open Source Software for Geospatial (FOSS4G), we create a tool that supports the evaluation of walkability and the distribution of urban amenities while taking age groups, walking, bicycle, and public transportation accessibility into account. In conclusion, this tool can measure and distribute urban amenities based on walkability providing a way to create healthier, more equitable living areas. Implementing the tool to produce a range of alternatives will help planners to learn about desirable walkable urban amenity options from the alternatives.
COMTILES: A CASE STUDY OF A CLOUD OPTIMIZED TILE ARCHIVE FORMAT FOR DEPLOYING PLANET-SCALE TILSETS IN THE CLOUD
Authors: Tremmel M.
Published: June 2023

Abstract. The container formats commonly used for managing map tiles, such as MBTiles and GeoPackage, were originally designed with only POSIX filesystem access in mind. This makes these file formats inefficient to use in a cloud native environment, especially in combination with large tilesets. The Cloud Optimized GeoTIFF format solves the problem of providing large satellite data in the cloud, creating a new category of so-called cloud optimized data formats. This type of format allows geospatial data to be deployed as a single file on a cheap and scalable cloud object storage such as AWS S3 and accessed directly from a browser without the need for a dedicated backend. Based on the concepts of the COG format, this contribution proposes a new cloud optimized file format called COMTiles, specially designed for planet-scale tilesets. This format has the potential to simplify the deployment workflow of large tilesets in a cloud-native environment, while simultaneously reducing the hosting costs. In comparison to PMTiles, another cloud-optimized tile archive solution, COMTiles can reduce the number of transferred data and the performance of decoding portions of the file. COMTiles also adds support for different coordinate systems.
UAVIMALS: THE "OPEN" REMOTE SENSING SYSTEM FOR SURFACE ARCHAEOLOGICAL INVESTIGATIONS
Authors: Vacatello F. , Roccella S. , Vannini A.
Published: June 2023

Abstract. Today, there is an increasing use of airborne sensors in archaeology, especially to investigate the surface of more or less vast territories quickly and accurately. In particular, airborne laser scanning technologies from small remotely piloted aircraft are rapidly developing towards increasingly high-performance solutions for the investigation of archaeological evidence hidden by vegetation or more or less substantial soil deposits. The proposed contribution intends to insert itself within this field of archaeological research by presenting "UAVIMALS" (Unmanned Aerial Vehicle Integrated with Micro Airborne Laser Scanner), an aerial remote sensing system of "soil marks", designed for surface archaeological investigations and the result of an Early Career Grant from the National Geographic Society. The system, consisting of a customised drone based on an open architecture and software for vehicle control and data processing, integrates a solid-state laser sensor, commonly engineered for obstacle avoidance, but here exploited to process accurate DTM (Digital Terrain Model) of small land surfaces with a significant reduction in cost and acquisition time. The system, whose engineering was contributed by the BioRobotics Institute of the S. Anna University of Pisa, was tested within the archaeological context of Leopoli - Cencelle (Tarquinia, Italy). A mediaeval city that has been researched for about 25 years by the Chair of Christian and Medieval Archaeology at the 'Sapienza' University of Rome. Experimentation missions carried out on the site, which is still only partially investigated, have been successful in bringing to light some urban areas that had not yet been investigated.
DIGITAL EARTH OBSERVATION INFRASTRUCTURES AND INITIATIVES: A REVIEW FRAMEWORK BASED ON OPEN PRINCIPLES
Authors: Di Leo M. , Minghini M. , Kona A. , Spadaro N. , Kotsev A. , Dusart J. , Lumnitz S. , Ilie C. M. , Kilsedar C. E. , Tzotsos A.
Published: June 2023

Abstract. Recent years have seen a tremendous increase of digital Earth Observation (EO) infrastructures, which provide web-based environments for accessing and processing data in a highly automated and scalable way. However, the current landscape of EO infrastructures and initiatives is fragmented, with various levels of user on-boarding and uptake success. The current work aims to make sense of this complex landscape by providing two main contributions. First, it offers a classification scheme used to review and analyse more than 150 EO infrastructures and initiatives. Then, adopting a user-centric perspective, the main limitations and obstacles currently faced by users when working with the existing EO platforms are identified. For each of these limitations, we propose a number of good practices that could benefit, from a user point of view, the design and functioning of EO platforms. Some technological enablers, i.e. specific resources (such as software components, standards and data encodings) that emerged from the analysis as holding a great potential for improving the usability of existing EO platforms, are finally listed. The work aims to provide a first scientific insight on how to best design and operate EO platforms to maximise the benefits of their user communities.
METHODS AND CHALLENGES IN TIMESERIES ANALYSIS OF VEGETATION IN THE GEOSPATIAL DOMAIN
Authors: Elia A. , Pickering M. , Girardello M. , Oton G. , Ceccherini G. , Capobianco S. , Piccardo M. , Forzieri G. , Migliavacca M. , Cescatti A.
Published: June 2023

Abstract. The increasing availability of remotely sensed data have offered unprecedented possibilities for monitoring and analysis of environmental variables, including boosting recent studies in the field of ecosystem resilience relying on indicators derived from timeseries analysis, such as the temporal autocorrelation of vegetation indices. A forest ecosystem with decreased resilience will be more susceptible to external drivers and their change and could shift into an alternative system configuration by crossing a tipping point. Nevertheless, remote sensing data quantifying vegetation and forests properties inherently carry information related to the climate as well, which has to be accounted for before performing any modelling exercise. In this paper, we aim to present the general workflow and the challenges encountered in processing and analysing the historical, high-frequency and high-resolution timeseries of vegetation and climatic data. The final aim is training a machine learning model (Random Forest) in order to model and explore the performance and importance of a set of climatic and environmental metrics in predicting an indicator of the resilience of forests. In this case, the resilience of forests is quantified through the temporal autocorrelation (TAC) of the kernel NDVI (kNDVI). Climatic and environmental predictors include 2-meter air temperature, total precipitation, vapour pressure deficit, surface solar radiation, forest cover and soil organic carbon content. Results show a good performance of the Random Forest model and the ranking in the importance of the predicting variables captured in terms of background climate and climate variability. This application allows to separate and identify the main drivers of the temporal autocorrelation of kNDVI.
AN INTEROPERABLE DIGITAL TWIN TO SIMULATE SPATIO-TEMPORAL PHOTOVOLTAIC POWER OUTPUT AND GRID CONGESTION AT NEIGHBOURHOOD AND CITY LEVELS IN LUXEMBOURG
Authors: Leopold U. , Braun C. , Pinheiro P.
Published: June 2023

Abstract. This paper focuses on the importance of Geographical Digital Twins to increase renewable energy production in urban areas and cities for decarbonization and reduction of climate change impacts. The study demonstrates the role of interoperable geographical digital twins based on Free and Open-Source software and geospatial software technologies in the simulation, monitoring, and management of renewable-based energy systems. We simulated the potential for building-integrated and building-attached solar photovoltaic (PV) electricity generation for the use case in cities to allow at a later stage for scale up to a nationwide level. The platform provides a tool for estimating PV power generation at high resolution across entire neighbourhoods and districts. Tools for the identification of cost-efficient PV placement or integration in buildings on roof-tops and facades were implemented to allow for interactive selection of optimal PV placement. The developed platform serves multiple beneficiaries, including municipalities, urban planners, developers, citizens, investors, and energy communities. Overall, the study highlights the advantage of an interoperable geographical urban digital twin, which provides the flexibility necessary to simulate and test scenarios for rapid, integrated urban planning for decarbonization under climate change. The platform is based on open-source, open standards and APIs, using open 3D city models, and allowing seamless integration of simulation and assessment methods and tools to provide a 3D real-world environment to assess and develop energy transition approaches.
Assessing the coastal hazard of Medicane Ianos through ensemble modelling
Authors: Ferrarin Christian , Pantillon Florian , Davolio Silvio , Bajo Marco , Miglietta Mario Marcello , Avolio Elenio , Carrió Diego S. , Pytharoulis Ioannis , Sanchez Claudio , Patlakas Platon , González-Alemán Juan Jesús , Flaounas Emmanouil
Published: June 2023

Abstract. On 18 September 2020, Medicane Ianos hit the western coast of Greece,
resulting in flooding and severe damage at several coastal locations.
In this work, we aim at evaluating its impact on sea conditions and the
associated uncertainty through the use of an ensemble of numerical
simulations. We applied a coupled wave–current model to an unstructured
mesh, representing the whole Mediterranean Sea, with a grid resolution
increasing in the Ionian Sea along the cyclone path and the landfall
area. To investigate the uncertainty in modelling sea levels and waves
for such an intense event, we performed an ensemble of ocean
simulations using several coarse (10 km) and high-resolution (2 km)
meteorological forcings from different mesoscale models. The performance of the ocean and wave models was evaluated against observations retrieved from fixed monitoring stations and satellites. All model runs emphasized the occurrence of severe sea conditions along the cyclone path and at the coast. Due to the rugged and complex coastline, extreme sea levels are localized at specific coastal sites. However, numerical results show a large spread of the simulated sea conditions for both the sea level and waves, highlighting the large uncertainty in simulating this kind of extreme event. The multi-model and multi-physics approach allows us to assess how the uncertainty propagates from meteorological to ocean variables and the subsequent coastal impact. The ensemble mean and standard deviation were combined to prove the hazard scenarios of the potential impact of such an
extreme event to be used in a flood risk management plan.
Hydraulic suppression of basal glacier melt in sill fjords
Authors: Nilsson Johan , van Dongen Eef , Jakobsson Martin , O'Regan Matt , Stranne Christian
Published: June 2023

Abstract. Using a conceptual model, we examine how hydraulically controlled exchange flows in silled fjords affect the relationship between the basal glacier melt and the features of warm intermediate Atlantic Water (AW) outside the fjords. We show that an exchange flow can be forced to transit into the hydraulic regime if the AW interface height decreases, the AW temperature increases, or the production of glacially modified water is boosted by subglacial discharge. In the hydraulic regime, the heat transport across the sill becomes a rate-limiting factor for the basal melt, which is suppressed. An interplay between processes near the ice–ocean boundary and the hydraulically controlled exchange flow determines the melt dynamics, and the sensitivity of the basal melt to changes in the AW temperature is reduced. The model results are discussed in relation to observations from the Petermann, Ryder, and 79∘ N glaciers in northern Greenland.
A Study on Visual Secret Sharing Schemes Using Biometric Authentication Techniques
Authors: Rajendra A. B. , Sheshadri H. S.
Published: June 2023

Visual Secret sharing schemes (VSSS) and biometrics have been identified as the two most important aspects of digital security. VSSS uses the human visual system to perform the decryption. A VSSS allows confidential messages to be encrypted into k-out-of-n secret sharing schemes. Whenever the number of participants from the group (n) is greater than or equal to the threshold value (k), the confidential message can be obtained by these participants. VSSS is interesting because decryption can be done with no prior knowledge of cryptography and can be performed without any complex cryptographic Algorithms. Based on this study, a new approach to analyze VSSS that uses biometric approach is given in this paper.
Cloud Based Video on Demand (VoD) Using DCRP Algorithm
Authors: Karthiga T.
Published: June 2023

The attempt to display media files through internet was started from mid-20th century. Several research works have been reported to provide Video on Demand model in distributed like RMI, SOA and Grid Computing. Internet-based cloud computing is a new computing paradigm aiming to provide agile and scalable resource access in a utility-like fashion. The fundamental question is how to configure the cloud utility to meet the highly dynamic demands of such applications at a modest cost. In this paper, a queueing network based model is used to characterize the viewing behaviors of users in a multichannel VoD application, and derive the server capacities needed to support smooth playback in the channels for two popular streaming models, client-server and P2P.Disk Scheduling is used to allocate separate disks to users. A dynamic cloud resource provisioning algorithm is used in which the derived capacities and instantaneous network statistics as inputs, can effectively support VoD streaming with low cloud utilization cost. Analysis and algorithm design are verified and extensively evaluated by applying large-scale experiments under dynamic realistic settings on a cloud platform.
Parameter Controlled Virtual Histogram Modification in Colour Image Enhancement
Authors: Nagajothi  , Lakshmi
Published: June 2023

A new hybrid image enhancement approach based on the parameter-controlled virtual histogram distribution method can enhance simultaneously the overall contrast and the sharpness of an image. The approach also increases the visibility of specified portions or aspects of the image whilst better maintaining image color. It driven by both global and local processes on luminance and chrominance components of the image. The approach was compared with other well-known image enhancement techniques. The experimental results have shown the superiority of the proposed approach
GCARM A Combined Approach to Data Mining
Authors: Desai Seema , Ragha Lata , Jethani Vimla
Published: June 2023

Mining association rules is an essential task for knowledge discovery. From a large amount of data, potentially useful information may be discovered. Association rules are used to discover the relationships of items or attributes among huge data. These rules can be effective in uncovering unknown relationships, providing results that can be the basis of forecast and decision. The effective management of business is significantly dependent on the quality of its decision making. Past transaction data can be analyzed to discover customer behaviors such that the quality of business decision can be improved. The approach of mining association rules focuses on discovering large itemsets, which are groups of items that appear together in an adequate number of transactions. The proposed method focuses on a combined approach to generate association rules from a large database of customer transactions. This approach scans the database once to construct an association graph and clustering tables and then traverses the graph to generate all large itemsets. The proposed algorithm will outperforms other algorithms which need to make multiple passes over the database.
Several Face Images Recognition in Uncontrolled Illumination Variation Images
Authors: Janani M. , Thiruselvi G.
Published: June 2023

This paper to study and present a face recognition system under uncontrolled illumination images. It consists of pre-processing method, a hybrid Fourier feature extraction and a score fusion. In the pre-processing stage a face image is transformed in to an illumination-insensitive image, called an “integral normalized gradient image”. The hybrids Fourier feature are extracted from different Fourier domains in different frequency bandwidth. In this paper the multiple Face Models are generated by plural normalized face images that have different eye distances. Finally to combine the scores from multiple complementary classifiers, a log likelihood ratio-based score fusion scheme is applied. This system using the Face recognition Grand Challenge (FRGC) experimental protocols is evaluated. it shows the average verification rate on 2-D face images under various environmental variations such as illumination changes, expression changes, and time elapses.
Robust Diffusion of Video Using Streaming Urban Video in VANET’S
Authors: Sharmila K. , Vijayaraj M.
Published: June 2023

Vehicular ad hoc network is not efficient to support the transformation process of multimedia streaming. Broadcast and Multicast in adhoc network facing the problem of highly dynamic topology of Vehicular network and the strict delay requirements of streaming application. Inter vehicular communications called Streaming Urban Video, which is fully distributed and dynamically adapts to topology changes, and leverages the characteristics of streaming applications to yield a highly efficient, cross-layer solution.
A Speech Recognizing Circuit for Home Service Robot
Authors: Antony Merin , Mohanram K.
Published: June 2023

Due to the increased customer demand for various applications in various fields, service robots are becoming very popular. Human Robot Interaction (HRI) is very essential for the good performance of the home service robot. A robot can be controlled by many methods and here the robot is controlled by voice commands which are given orally. The robot must be able to perform various tasks such as speech source localization, source separation and classification etc. The robot must be capable to identify the source accurately. The speech recognizer and a speaker classifier are used to improve the performance of the robot. Reverberation deteriorates the quality and intelligibility of speech. This leads to the poor performance of classification systems. The noise effects can also degrade the performance of the classification systems. The channel may also have ISI. So channel must be equalized to nullify these effects. Here a new blind deconvolutive neural network is used for speech classification in the robot. Using this new method the robot can identify the commands given to it more accurately than by the existing methods.
Energy Optimization with Cooperative MAC Protocol in Wireless Sensor Networks
Authors: Vaitheki S. , Saraswathi A.
Published: June 2023

A new distributed cooperative routing protocol that realizes minimum power transmission for each composed cooperative link, given the link BER (Bit Error Rate) constrained at a certain target level. The key contribution of the proposed scheme is to bring the performance gain of cooperative diversity from the physical layer up to the networking layer. Specifically, the proposed algorithm selects the best relays with minimum power consumption in distributed manner, and then forms cooperative links for establishing a route with appropriate error performance from a source to a destination node. Analytical results are developed to show that our cooperative transmission strategy achieves average energy saving of 82.43% compared to direct transmission, and of 21.22% compared to the existing minimum power cooperation strategy. The upper bound of the capacity of the protocol, and analyze the end-to-end robustness of the protocol to data-packet loss, along with the tradeoff between energy consumption and error rate. The analysis results are used to compare the energy savings and the end-to-end robustness of our protocol with two non-cooperative schemes. The distributed and power efficient cooperative routing algorithm, which constructs the minimum power route with a small number of hop.