bluuebunny/crossref_metadata_2025 huggingface dataset:
DEVELOPMENT OF A BIM INFRASTRUCTURE WORKFLOW ADAPTED TO FACILITIES OF LAND SUBDIVISION PROJECTS IN MOROCCO
Authors: Bouziani M. , Mouatassim H. , Fadl K. , Nouari H.
Published: December 2021

Abstract. Land subdivision represents a complex procedure which leads to the construction of a set of buildings and utilities necessary for the viability of the project: Roads, sewerage network, water network, electricity network and telecommunication networks. The techniques adopted so far to carry out land subdivision projects in Morocco have certain limitations. Several stakeholders are necessary for the realization of a land subdivision and many 2D plans and documents are used. These plans and documents are independently produced and carried out by the various trades involved in the project. If a change is made to one element of the project, which often happens, several documents and plans are affected and must be updated. This can be a source of errors and conflicts and can lead to an increase in the time and cost of the hall project. This study proposes the development of a Building Information Modelling (BIM) infrastructure workflow adapted to land subdivision projects in Morocco. The integration of BIM in this type of project is an innovation in the Moroccan context. It will improve the design, simplify communication and collaboration between the various stakeholders and facilitate the management and the monitoring of the project. The resulting digital BIM model can be used to produce 2D and 3D construction plans, take measurements and plan work. It constitutes the basic platform to perform calculations and simulations at any stage of the infrastructure life cycle and to detect and resolve interferences in a collaborative environment.
BIG URBAN DATA VISUALIZATION APPROACHES WITHIN THE SMART CITY: GIS-BASED OPEN-SOURCE DASHBOARD EXAMPLE
Authors: Bovkir R. , Aydinoglu A. C.
Published: December 2021

Abstract. The change and rapid development in information and communication technologies in recent years has caused increasing the data sources and the volume of data. With the smart city concept, big and complex data collected from the internet of things (IoT), smart sensors, and wearable technologies has been introduced into our lives. Such big data can provide various opportunities and possibilities in urban management, however, to obtain meaningful information from big volume complex data is challenging. Visual analytics techniques provide an effective way for extracting significant information from big data. With the integration of geographic information systems (GIS) and its ability on geographic analysis, big data produced by the IoT and sensors can be analysed and represented in real time via city dashboards. In this study, literature research about big data visualization approaches within the smart cities is examined. Dashboard examples with the integration of GIS is examined and an open-source GIS-based dashboard example is designed in Apache Superset. The relationship between air quality and traffic density is demonstrated with different visualization methods.
THE SURVEY OF THE MONUMENTAL FOUNTAIN IN THE TOWN OF DALMINE: A PRELIMINARY WORK FOR THE CONSERVATION PROJECT
Authors: Cardaci A. , Azzola P. , Versaci A.
Published: December 2021

Abstract. The Monumental Fountain of Dalmine was built to celebrate the 20th anniversary of Benito Mussolini’s historical address held on March 20, 1919, to which the square was dedicated. In the basin stood a large marble block on which some sentences of the Duce’s speech were carved. The work was partially destroyed at the end of the World War II and the block was removed. Today, what remains of the Dalmine Fountain constitutes the privileged meeting place of the city. However, it has great sealing problems as well as high management and maintenance costs, which prevent its normal functioning. Consequently, it is kept empty for many months of the year and filled with water only in the summer. This essay intends to propose a study based on the analysis of historical sources and 3D survey and modelling techniques aimed to understand the historical and urban value of the monument, to support its conservation and to enhance its role as a central meeting point for the town.
DESIGN OF INDOOR ROBOT PROTOTYPE GUIDED BY RFID BASED POSITIONING AND NAVIGATION SYSTEM
Authors: Demiral E. , Karaş İ. R. , Karakaya Y. , Kozlenko M.
Published: December 2021

Abstract. In this study, a robot prototype was designed for indoor spaces guided by an RFID-based positioning and navigation system. First, the work area was prepared from cardboard material and RFID cards were placed at predetermined points in the work area. The unique ID number of each RFID card was defined and the coordinates of their location in the work area are known. The RFID reader in the robot prototype reads from less than 5 cm. With a basic approach, when the robot reads an RFID card that it passes over while in motion, the position of the robot is considered the same as the position of the card it is currently reading. The route is defined for the robot prototype whose location is known before starting the movement. When the robot reads a new RFID card during movement, it must move forward or turn left or right to reach the point where the next RFID card is located according to the route. This decision was predetermined and defined according to its location. Alphabot was used as the prototype. Arduino board and additional auxiliary sensors such as gyro sensor, speed sensors, distance sensors are placed on the prototype. The prototype robot is left at any point in the work area and arrives at a target point determined by the user. The required road route to reach the destination is calculated with the shortest path algorithm depending on the road network on the working area and the route is defined. Thus, it is ensured that the prototype reaches the target without any external intervention by the user other than target determination.
CARTOGRAPHY OF MOROCCAN ARGAN TREE USING COMBINED OPTICAL AND SAR IMAGERY INTEGRATED WITH DIGITAL ELEVATION MODEL
Authors: Elmoussaoui E. , Moumni A. , Lahrouni A.
Published: December 2021

Abstract. Forest tree species mapping became easier due to the global availability of high spatio-temporal resolution images acquired from multiple sensors. Such data can lead to better forest resources management. Machine-learning pixel based analysis was performed to multi-spectral Sentinel-2 and Synthetic Aperture Radar Sentinel-1 time series integrated with Digital Elevation Model acquired over Argan forest of Essaouira province, Morocco. The argan tree constitutes a fundamental resource for the populations of this arid area of Morocco. This research aims to use the potential of the combination of multi-sensor data to detect, map and identify argan tree from other forest species using three Machine Learning algorithms: Support Vector Machine (SVM), Maximum Likelihood (ML) and Artificial Neural Networks (ANN). The exploited datasets included Sentinel-1 (S1), Sentinel-2 (S2) time series, Shuttle Radar Topographic Missing Digital Elevation Model (DEM) layer and Ground truth data. We tested several sets of scenarios, including single S1 derived features, single S2 time series and combined S1 and S2 derived layers with DEM scene acquisition. The best results (overall accuracy OA and Kappa coefficient K) obtained from time series of optical data (NDVI): OA = 86.87%, K = 0.84, from time series of SAR data (VV+VH/VV): OA = 45.90%, K = 0.36, from the combination of optical and SAR time series (NDVI+VH+DEM): OA = 93.01%, K = 0.914, and from the fusion of optical time series and DEM layer (NDVI+DEM): OA = 93.25%, K = 0.91. These results indicate that single-sensor (S2) integrated with the DEM layer led us to obtain the highest classification results.
ARTIFICIAL LEARNING-BASED PROCTORING SOLUTION FOR REMOTE ONLINE ASSESSMENTS: “VPROCTOR”
Authors: Guney C. , Akinci O. , Çamoğlu K.
Published: December 2021

Abstract. Technological developments have paved the way for courses, trainings and assessments to be made online remotely in education and employment. In the meantime, over the years, the demand for online distance learning has increased rapidly. Eventually, it has been seen that this is a necessity and it has become widespread during the COVID-19 pandemic period. As can be seen in the example of massive online open courses, although remote learning is carried out online, perhaps the most important problem is how to evaluate the relevant courses safely and reliably. Thus, remote online proctoring is becoming an increasingly popular and needed issue. In this study, the issue of conducting the examination remotely online via internet-connected video and audio communication will be evaluated. Furthermore, the solution called vProctor was developed to contribute to the elimination of deficiencies in remote online proctoring using artificial learning. Overall, it has been observed that the proposed solution is managed to determine inappropriate behaviors like cheating in the online assessments.
NETWORKING LAYER FOR THE EVOLUTION OF MARITIME PORTS INTO A SMART ENVIRONMENT
Authors: Haidine A. , Ait-Allal A. , Aqqal A. , Dahbi A.
Published: December 2021

Abstract. The maritime transport is playing an increasing and critical role on the worldwide trade; because it guarantee the delivery of 80% of the goods worldwide. The maritime ports are the articulation of the maritime transports, and therefore are responsible of (long delay in the ports means high risks for goods deterioration, higher costs for the logistics companies, longer occupation of containers for containers management companies, etc. In recent years some publications are talking about smart ports. In this paper we take some of the most recent models of smart port, and propose some extensions by considering the recent recommendations from International Maritime Organization (IMO), which have been translated and issued legislation frameworks by the European Union, such as maritime environment monitoring, air pollution, etc. In the recent years, any “smart” environment is modeled through an Internet-of-Things (IoT) layered model. Thus, we discuss the model of smart port environment as IoT layered model, where the networking/communications layer plays the core role. Furthermore, we analyse the possible networking technologies which could support the different smart domains building the smart port environment. This is achieved by first defining the different sub-layers of the hierarchical communication layer, and then comparing different technologies for building the broadband mobile sub-layer.
GIS-BASED OPTIMUM SITE SELECTION FOR SOLAR ELECTRIC VEHICLE CHARGING STATION: ANKARA-ISTANBUL HIGHWAY CASE
Authors: Hisoglu S. , Comert R.
Published: December 2021

Abstract. Energy sources are divided into renewable and non-renewable sources. It can be seen that non-renewable energy resources are not adequately meeting the increased demands of worldwide technological developments, increasing population, and global consumption. Therefore, the demand for renewable resources is increasing day by day. When it comes to the use of non-renewable carbon-based fossil fuels, one of the first areas that come to mind is undoubtedly the Automotive sector. Today, it is realized that one of the main reasons for the lack of electric motor cars compared to petroleum fuelled cars, is the scarcity of electric vehicle charging stations and the difficulty of their accessibility. In this study; an analysis of solar-powered electric charging stations site selection was carried out for electric vehicles. The Ankara-Istanbul highway, which has a high traffic density, was chosen as the sample route for the study. Within the scope of the study, the areas where stations can be installed on the highway were carried out using the Multi-Criteria Decision Making Method with the help of Geographic Information System. Solar radiation, slope, aspect, land use/land cover, traffic volume and proximity to the road, criteria of the route, and site selection analysis were determined as input data. The maps of the determined criteria were arranged according to the study area and prepared for analysis. The criteria maps obtained were reclassified according to the above-mentioned criteria and scoring system. After the reclassification process, the weighting of each criteria which affect the analysis was determined by the researched literature and an overlapping process was carried out. According to the results map produced as a result of the overlay analysis, the appropriate area has been determined for the electric charging stations working with solar energy. On the defined route within the scope of the study, a proposal has been made for a total of 13 stations, 8 in Ankara, 3 in Bolu, 1 in Kocaeli, and 1 in Istanbul. This study, it is aimed to encourage automobile users to make greater use of electric motor vehicles, which would be a more environmentally friendly and sustainable choice, and ultimately more economical.
CROSS PLATFORM BASED SMART GREENHOUSE APPLICATION
Authors: Kayci B. , Cerit B. , Yiğit E.
Published: December 2021

Abstract. In this study, an application has been made in the field of agriculture over the internet of things that are frequently needed in our lives with the developing technology. Due to the increasing human population and consumption needs, countries have begun use agricultural areas and the energy used in agricultural areas more effectively. It is known that temperature and humidity values are critical in greenhouses used in agricultural areas. For this reason, the temperature and humidity values were measured from four different points of the greenhouse by wireless communication in the greenhouse and these values were sent to the main station, and then the greenhouse supervisors were given the opportunity to monitor instantly with Flutter. In addition, if the temperature in the greenhouse falls below the value determined by the responsible people, the greenhouse workers are warned with the help of an audible warning.
SPATIAL ACCESSIBILITY OF URBAN PARKS IN TANGIER CITY, MOROCCO
Authors: Maliari M. , Azyat A. , Achhab N. B. , Raissouni N. , Chahboun A.
Published: December 2021

Abstract. Recently, Urban Parks presents an essential role of humanity, because they provide a many of benefits that support our physical and social health. Therefore, UP (Urban Parks) are crucial part of whole urban environment. In this paper, we present the role of Green Space in public health, and based on Geographical Information System (GIS) techniques, we will start our study with a case study of the city of Tangier in northern Morocco. The city has had remarkable development in recent years. So, the inhabitants of Tangier need demands in the public services, in particular the urban parks.So we studied the distribution of urban parks in the different commons of the city (Tangier, Charf, Benimakada and Boukhalef (Guezania previously)) by calculating the area and the number of UPs in each common, then a calculation on the indices (PAC, PAR and PR) for each region, and finally make a comparison with the situation in 2015.
A SMART GPS-BASED IOT SYSTEM FOR BLACKSPOT NOTIFICATION
Authors: Owire B. , Shibwabo Kasamani B.
Published: December 2021

Abstract. An accident blackspot is a length of the road marked as having high road accidents potential. Various highways have become a nightmare to passengers, drivers and pedestrians in the recent past. One of the common causes of road accidents is a driver being unfamiliar with a road. Despite authorities using various methods to raise awareness of blackspots including the use speed guns detectors the rate of the accidents on the roads is still in an alarming rate. More often, signposts on the road can be vandalized or even be hit by a reckless driver. There is also an assumption that every driver reads and understands signposts. We propose an IoT system embedded on a vehicle and having ability to sense a blackspot from a given distance. After sensing the blackspot, the system then provides an audio directive that notifies a driver to be more careful and avoid overtaking. The proposed system was developed using GPS, microcontrollers, and GSM mobile technology. The system was tested using coordinates extracted from road sections marked as blackspots. The proposed system sends notifications to end users using GSM system chip.
HEDONIC MODELING OF HOUSING PURCHASE/SALE DENSITY WITH URBAN CHANGE FACTORS
Authors: Pirbudak H. E. , Yalpir Ş. , Akar A. U.
Published: December 2021

Abstract. Due to the industrialization in the cities, land needs have appeared in the increasing urban population. These needs have created houses with the accumulate of collective living spaces in the city. It is necessary to determine the supply-demand relationship and value of these real estates with economic importance for smart urban management systems and decision support systems in the market. The value of real estate varies according to the country in which it is located, but in general, it is affected by many factors such as spatial attributes, demographic factors, building factors, economic conditions. Depending on these factors, values and purchase-sale densities of housing also change.In this study, for prediction of housing purchase-sale density, hedonic modeling was realized with 15 features from urban change factors. Urban change factors that affect the purchase/sale of housing such as land use, demographic factors, population density and structural factors have been examined through Geographic Information System (GIS). The hedonic regression method was used for predicting the density of housing purchase/sale. As a result of the modeling, it was found as R2 = 0,85.
TOWARDS WEBCAM-BASED FACE DIRECTION TRACKING TO DETECT LEARNERS' ATTENTION WITHIN ASYNCHRONOUS E-LEARNING ENVIRONMENT
Authors: Ramaha N. T. A. , Karaş İ. R. , Gül E. , Bozkurt M. R. , Yayvan R.
Published: December 2021

Abstract. Recently, as a consequence of COVID-19 pandemic, the delivery of education at most of the educational institutions depended mainly on e-learning. So, the researchers give more attention for both synchronous and asynchronous e-learning. Although from an economical perspective, asynchronous e-learning seems to be the best e-learning option for institutions, still one of the biggest challenges is how to keep learners motivated for the entire learning process. One of important motivational factors that drives the success of the learning process is the learner attention. Therefore, to retain the learners' attention during the asynchronous e-learning process, we need first to detect their loss of attention. Accordingly, more studies started to focus on detecting learners’ attention. However, those studies can't be widely used for attention detection within asynchronous e-learning environments, as the used approaches tend to be inaccurate, and complex for the design and maintain. In contrast, in this study, we explore the possibility to find a simple way that can be widely used to detect learners' attention within the asynchronous e-learning environments. Therefore, we used webcams which are available in almost every laptop, and computer vision tools to detect learners' attention by tracking their faces. Thereafter, we evaluated the accuracy of our suggested method, the result of this evaluation showed that our method is efficient.
3D AIR POLLUTION COMPUTATIONAL FLUID MODELLING DATA ANALYSIS USING TERRESTRIAL LASER SCANNING (TLS) AND UNMANNED AERIAL VEHICLE (UAV) APPROACH
Authors: Ridzuan N. , Ujang U. , Azri S. , Choon T. L.
Published: December 2021

Abstract. Air pollution is a global event that can harm the environment and people. It is recommended that effective management be implemented to allow for the sustainable development of a specific area. The 3D building model is employed in the study to support air pollution modelling for this purpose. A proper mode of data acquisition is required to produce the building model. Many data acquisition (Terrestrial Laser Scanning and Unmanned Aerial Vehicle) approaches can be utilized, but the most appropriate one for the use in outdoor air pollution is needed. This is because it can assist in providing precise data for the modelling of a 3D building while maintaining the shape and geometry of the real-world structure. The accurate data can support modelling of surrounding air pollution concerning wind data and surrounding conditions, where different generated structures can influence the flow of the pollutants. The suitable model can be determined by using suitability analysis and with the implementation of Computational Fluid Dynamics (CFD) simulation. However, from these, no specific technique is chosen because the generated models presented incomplete model. Hence, it is suggested to combine both techniques to acquire building data as the missing surfaces from each technique can be completed by another technique. Thus, this study provides a good reference for responsible agencies or researchers in selecting the best technique for modelling the building model in air pollution-related studies.
SMART CITY SECURITY ISSUES: THE MAIN ATTACKS AND COUNTERMEASURES
Authors: Saber O. , Mazri T.
Published: December 2021

Abstract. A smart city is an urban area based on a variety of services that uses information and communication technologies (ICTs) to improve operational efficiency and citizen's quality of life. It also leans towards meeting the economic, social, environmental, and cultural needs of dwellers. Technologies can add many benefits to smart city to facilitate communication and efficiently manage assets, resources, and services. However, technologies bring new security issues that need to be addressed to ensure data confidentiality, integrity, and availability. This paper provides an overview of the smart city concept by highlighting its main applications and services, presenting some susceptible attacks that can touch the security of applications, and some good practices to ensure the smart city security.
ASSESSING SAFETY LEVEL OF UTM CAMPUS BASED ON SAFE CITY CONCEPTS
Authors: Samsudin S. , Tarmidi Z. , Adi Maimun N. H. , Mat Noor N. A. , Md Nasir A. N. , Sidek A.
Published: December 2021

Abstract. Safety is an important aspect in today’s living, in urban city, residential area, and also in campus area. Several initiatives were introduced to increase the safety level, and to prevent crime from happening in the campus area, known as Safe City Concept. These initiatives included the Safe City Index, Crime Prevention Through Environmental Design (CPTED), behavioural model, safe city urban area, safe city of smart city, and resident safety assessment. Some of this initiative focus on urban city area, or residential, besides only focus on crime prevention and not focus on the assessment of safety level for campus area. This study aims to assess the safety level for campus area, with case study of UTM Campus. To assess the safety level, a set 4 indicators, which is crime, environment, public health and emergency response, with 9 sub-indicators was identified in this study. These indicators and sub-indicators used to determine the safety level of campus area based on the Safe City Concept. The analysis used is spatial analysis on the indicator, and using weighted criteria matrix to evaluate safety level for each building in UTM campus. The results show that most the buildings in UTM are in good and high safety level, with 65% of buildings score more than 70%. For buildings was detected with highest score of 95% of safety level, while 3 buildings score lowest percentage of 53.7%. these results indicated that UTM campus area is a safe area, based on the Safe City Concept. These results can help authorities to use these indicators of Safe City Concept to assess the education campus area safety level.
INDICATOR ANALYSIS OF SMART CITY STANDARD SNI ISO 37122 PLAYS A ROLE IN THE COVID-19 PANDEMIC
Authors: Tampubolon B. D. , Mulyono A. B. , Isharyadi F. , Purwanto E. H. , Anggundari W. C. ,   Gensly
Published: December 2021

Abstract. A smart city is a city development concept based on the principles of information technology so that the management of all resources runs effectively and efficiently. One of the concepts of implementing smart cities that have been developed is through the application of the SNI ISO 37122: 2019 standard. During the Covid-19 pandemic, the smart city concept is expected to play a role in increasing the effectiveness of implementing health protocols in urban environments. The purpose of this preliminary research is to analyze smart city indicators in the SNI ISO 37122 standard which are directly related to preventing the spread of the Covid-19 Pandemic. This research uses descriptive qualitative methods and literature study. To link the smart city indicator and the Covid-19 pandemic health protocol, the Cause-and-Effect Analysis (CEA) method and brainstorming using expert judgment were used. Based on the results of the analysis of 19 sectors contained in the standard, there are 11 sectors and 21 indicators that have roles in limiting the spread of the Covid-19 pandemic in Indonesia.
THREE-DIMENSIONAL DIGITIZATION OF ENVIRONMENTS AND BUILDINGS FOR SMART CITY APPLICATIONS
Authors: Altuntas C.
Published: December 2021

Abstract. The smart cities that promise a sustainable future cannot be thought of independently from the spatial information infrastructure. It is very important to keep the spatial data infrastructure up-to-date for guidance and information in smart city applications (SCA). Easy and low-cost acquisition is an important factor in updating spatial data. Today, there are many measurement techniques to collecting 3-D spatial data of urban areas and land topography. On the other hand, indoor measurement and 3-D modelling techniques are used in the creation of building information modelling (BIM). In this study, measurement techniques that provide 3-D point cloud data to SCA are examined. Consequently, image based photogrammetry and dense matching methods enable low cost measurement than LiDAR based active measurement. The active 3-D measurement techniques have high accuracy especially for mid and long ranges. The LiDAR, that can be applied at day or night time, offer more opportunity to performing SCA like autonomous vehicle and robotic navigations. Nevertheless, LiDAR can only capture structure, not texture, and therefore has limits to the types of data that it can capture. The LiDAR and image based methods are complement to each other in 3-D reality capture. The 3-D measurement techniques are exploited according to SCA as alone or together.
Estimation of soil water holding capacity with Random Forests for drought monitoring
Authors: Tramblay Yves , Quintana Seguí Pere
Published: December 2021

Abstract. Soil moisture is a key variable for drought monitoring but soil moisture measurements networks are very scarce. Land-surface models can provide a valuable alternative to simulate soil moisture dynamics, but only a few countries have such modelling schemes implemented for monitoring soil moisture at high spatial resolution. In this study, a soil moisture accounting model (SMA) was regionalized over the Iberian Peninsula, taking as a reference the soil moisture simulated by a high-resolution land surface model. To estimate soil water holding capacity, the parameter required to run the SMA model, two approaches were compared: the direct estimation from European soil maps using pedotransfer functions, or an indirect estimation by a Machine Learning approach, Random Forests, using as predictors altitude, temperature, precipitation, evapotranspiration and land use. Results showed that the Random Forest model estimates are more robust, especially for estimating low soil moisture levels. Consequently, the proposed approach can provide an efficient way to simulate daily soil moisture and therefore monitor soil moisture droughts, in contexts where high-resolution soil maps are not available, as it relies on a set of covariates that can be reliably estimated from global databases.
Swell hindcast statistics for the Baltic Sea
Authors: Björkqvist Jan-Victor , Pärt Siim , Alari Victor , Rikka Sander , Lindgren Elisa , Tuomi Laura
Published: December 2021

Abstract. The classic characterisation of swell as regular, almost monochromatic, wave trains does not necessarily accurately describe swell in water bodies shielded from the oceanic wave climate. In such enclosed areas the locally generated swell waves still contribute to processes at the air and seabed interfaces, and their presence can be quantified by partitioning wave components based on their speed relative to the wind. We present swell statistics for the semi-enclosed Baltic Sea using 20 years of swell-partitioned model data. The swell significant wave height was mostly under 2 m, and in the winter (DJF) the mean significant swell height was typically less than 0.4 m; higher swell was found in limited nearshore areas. Swell waves were typically short (under 5 s), with mean periods over 8 s being rare. In open-sea areas the average ratio of swell energy (to total energy) was mostly below 0.4 – significantly less than in the World Ocean. Certain coastal areas were swell dominated over half the time, mostly because of weak winds (U<5 m s−1) rather than high swell heights. Swell-dominated events with a swell height over 1 m typically lasted under 10 h. A cross-correlation analysis indicates that swell in the open sea is mostly generated from local wind sea when wind decays (dominant time lag roughly 15 h). Near the coast, however, the results suggest that the swell is partially detached from the local wind waves, although not necessarily from the weather system that generates them because the highest swell typically arrives with a roughly 10 h delay after the low-pressure system has already passed.
Effect of snowfall on changes in relative seismic velocity measured by ambient noise correlation
Authors: Guillemot Antoine , van Herwijnen Alec , Larose Eric , Mayer Stephanie , Baillet Laurent
Published: December 2021

Abstract. In mountainous, cold temperate and polar sites, the presence of
snow cover can affect relative seismic velocity changes (dV/V) derived from
ambient noise correlation, but this relation is relatively poorly documented
and ambiguous. In this study, we analyzed raw seismic recordings from a
snowy flat field site located above Davos (Switzerland), during one entire
winter season (from December 2018 to June 2019). We identified three
snowfall events with a substantial response of dV/V measurements (drops of
several percent between 15 and 25 Hz), suggesting a detectable change in
elastic properties of the medium due to the additional fresh snow. To better
interpret the measurements, we used a physical model to compute frequency-dependent changes in the Rayleigh wave velocity computed before and after
the events. Elastic parameters of the ground subsurface were obtained from a seismic refraction survey, whereas snow cover properties were obtained from the snow cover model SNOWPACK. The decrease in dV/V due to a snowfall was well reproduced, with the same order of magnitude as observed values,
confirming the importance of the effect of fresh and dry snow on seismic
measurements. We also observed a decrease in dV/V with snowmelt periods, but we were not able to reproduce those changes with our model. Overall, our results highlight the effect of the snow cover on seismic measurements, but more work is needed to accurately model this response, in particular for the presence of liquid water in the snowpack.
Cyclic overlay model of p-y curves for laterally loaded monopiles in cohesionless soil
Authors: Song Junnan , Achmus Martin
Published: December 2021

Abstract. The bearing behaviour of large-diameter monopile foundations for offshore wind turbines under lateral cyclic loads in cohesionless soil is an issue of ongoing research. In practice, mostly the p-y approach is applied in the design of monopiles. Recently, modifications of the original p-y approach for monotonic loading stated in the API regulations (API 2014) have been proposed to account for the special bearing behaviour of large-diameter piles with small length-to-diameter ratios (e.g. Thieken et al. 2015, Byrne et al. 2015). However, cyclic loading for horizontally loaded piles predominates the serviceability of the offshore wind converters, and the actual number of load cycles cannot be considered by the cyclic p-y approach of the API regulations. This research is therefore focusing on the effects of cyclic loading on the p-y curves along the pile shaft and aiming to develop a cyclic overlay model to determine the cyclic p-y curves valid for a lateral load with a given number of load cycles. The “Stiffness Degradation Method (SDM)” (Achmus et al. 2009) is applied in a three-dimensional finite element model to determine the effect of the cyclic loading by degrading the secant soil stiffness according to the magnitude of cyclic loading and number of load cycles based on the results of cyclic triaxial tests. Thereby, the numerical simulation results are used to develop a “cyclic overlay model”, i.e. an analytical approach to adapt the monotonic (or static) p-y curve to the number of load cycles. The new model is applied to a reference system and compared to the API approach for cyclic loads.
Editorial
Authors: Krauth Nigel , Brophy Kevin , Brien Donna Lee
Published: December 2021

Who really did offer the first creative writing course…?
Artful life stories: Enriching creative writing practice through oral history
Authors: van Luyn Ariella
Published: December 2021

This paper, written at the culmination of a practice-led PhD project in creative writing, describes how the author’s engagement with oral history theory and practice enriched the design of the novel emerging from the thesis. The novel, based on oral history interviews and archival materials, blurs the boundaries between historically verifiable information and fiction. Many fiction writers draw on interviews and archival material, but not all of them feel so tied to this material that they disclose its influence on their work. However, authors such as Dave Eggers, Anna Funder, Terry Whitebeach and Padma Viswanathan explicitly identify their novels as based on extended oral histories. While these authors describe their process to some extent, there is a lack of deep theoretical discussion around the task of transforming oral histories into fiction. This paper extends this discussion by providing a practitioner’s account of how two key concerns of the oral history project in Australia – a concern with subjectivity and making oral history interviews accessible to a wide audience – underpin the design of the novel. The author concludes that the unique qualities of fiction can explore subjective experience, but the authenticity demanded of novels based on verifiable data can be constraining, and should not be elevated above a concern for the satisfactions of the reader.
Silent reading: The read voice
Authors: Bishop Stephanie
Published: December 2021

This essay examines the sonic experience of silent reading. How are we to understand the peculiar nature of this sound experience that occurs in silence? The essay considers the ‘unsounded’ quality of this phenomenon and examines the contradictions implied by the notion of the read voice. This voice is the voice that is read – a voice, I argue, that occurs as the sub-vocalisation of the written word and which involves the perception of the written word’s inner sonority. Such a voice, however, is closely aligned with the inner voice. In investigating the complex dynamics of this voice that is read I draw on the work of Denise Riley, Mladen Dolar and Giorgio Agamben in order to argue that the read voice is proximate to the inner voice associated with conscience and that our experience of ‘silent’ reading marks a re-shaping of this vital force of conscience.
La radio y la crisis de Suez, 1956
Authors: Lion Bustillo Javier
Published: December 2021

La crisis de Suez (1956) constituye un momento decisivo en la expansión del nacionalismo árabe y su lucha contra el Imperio británico. Este estudio evalúa el papel de la radio en esa crisis y su influencia sobre la opinión pública egipcia y árabe. Las conclusiones indican que fue un instrumento de enorme importancia a la hora de mantener unida a la población egipcia en apoyo del Presidente Nasser y en el fortalecimiento de la solidaridad panárabe. Este factor contribuyó al fracaso de la intervención franco-británica, demostrando la importancia del poder blando y de la comunicación política en los modernos conflictos bélicos.
De la radio al audio a la carta: la gestión de las plataformas de podcasting en el mercado hispanohablante
Authors: Terol Bolinches Raúl , Pedrero Esteban Luis Miguel , Pérez Alaejos Mónica
Published: December 2021

Un siglo después de su nacimiento, la radio se enfrenta a un entorno de competencia por la escucha de audio condicionado por los dispositivos y hábitos de consumo digital. En ese escenario, el podcast está adquiriendo una creciente relevancia en términos de oferta y penetración, si bien sus lógicas resultan cada vez más determinadas por la economía de las plataformas. Esta investigación sistematiza y compara los modelos de gestión de 12 redes independientes de podcast en España, México y Argentina, países donde más se ha consolidado el formato en el mercado hispanohablante. Los resultados revelan significativas diferencias en la catalogación de contenidos, las herramientas de difusión de los catálogos y las fórmulas de financiación, donde la suscripción se vislumbra como mecanismo más eficiente para el asentamiento del sector.
La radio sin pausa. El final del cierre nocturno de emisiones y el comienzo de la programación continua en España
Authors: Alcázar Juan Pedro , Legorburu José María
Published: December 2021

La desaparición del cierre de emisiones y el comienzo de la emisión continua constituyen una de las referencias clave para determinar la evolución de la radiodifusión en cada país. En el caso de España, el final del descanso nocturno no se estableció de forma generalizada hasta finales de los años 70, pero en las décadas anteriores, como en cualquier proceso, se sucedieron distintas iniciativas que pusieron las bases para la emisión veinticuatro horas. Concretamente, la primera de ellas tuvo lugar en 1965 y estuvo a cargo de Radio Nacional de España. Así, el presente estudio abunda sobre este y otros hitos, describiendo y analizando no solo la información existente sobre las programaciones de las emisoras durante los primeros cincuenta años de historia de la radio española, sino recogiendo las impresiones de algunos de los testigos que vivieron en primera persona la transformación de las parrillas.
Presencia de mujeres creadoras en los circuitos de la industria artística española actual
Authors: Izquierdo Expósito Violeta
Published: December 2021

Las salas de los museos, los puestos de las ferias, los listados de los galardonados y los libros de arte hablan por sí solos. El artístico es uno de los campos a los que, a día de hoy, no ha llegado la igualdad. El presente trabajo estudia el desequilibrio que existe en este sector, dominado siempre por hombres, y constata el camino que queda por recorrer para llegar a la paridad. Esta investigación tiene como objetivo recopilar los datos de algunos de los indicadores más significativos del campo artístico para analizar y valorar la presencia de las mujeres en esta industria. Estos parámetros no solo muestran la representación femenina en el arte, sino también la visibilidad que se les proporciona desde las esferas e instituciones culturales, así como el reconocimiento que les otorgan y en base al cual se rige, en gran medida, su éxito laboral. Los resultados de este trabajo nos permiten tener una radiografía más clara de la verdadera posición que ocupan las mujeres artistas en el panorama actual del arte en España.
Alternativas sostenibles al consumismo: El comercio justo en el Mercado Social de Madrid.
Authors: Allende López Rubén
Published: December 2021

El presente trabajo aborda el controvertido tema del consumo, una práctica más que conocida que forma parte de la sociedad y, a su vez, conforma la misma. Para ello, realiza una aproximación al mismo a través de un recorrido histórico desde el modelo de producción fordista, contemplando también a su sucesor; el modelo posfordista, para finalmente detenerse en su forma actual, contemplando sus variantes. Igualmente, atiende a los diversos efectos adversos derivados de esta práctica sobre la vida cotidiana y el medioambiente, proponiendo y haciendo hincapié en la necesidad de una alternativa sostenible; el Comercio Justo. A su vez, el ensayo recoge un estudio de caso sobre el Mercado Social de Madrid, espacio en el que se aplican los principios de la Economía Social Solidaria y el Comercio Justo, con el fin de determinar si efectivamente supone una alternativa factible al actual modelo de producción y comercialización, que – se basa en, y – perpetúa la desigualdad y las relaciones de dominación. Todo ello se realiza desde la perspectiva socioambiental, abogando por la educación ambiental y las relaciones socioeconómicas justas y equitativas.
Apontamentos folkcomunicacionais sobre os desafios da comunicação em tempos da pandemia do Covid-19
Authors: Maciel Betania
Published: December 2021

O protagonismo de grupos e pessoas que se manifestam através das expressões populares, em canais alternativos de comunicação pode colaborar com o desafio comunicacional imposto pela pandemia do Covid-19 que se revela não somente no problema de circular informações de caráter científico de natureza incerta para a população geral, como de enfrentar a polarização ocasionada pela disseminação de informações falsas, calcadas no negacionismo científico. A partir desta premissa investigamos, em plano de ensaio, os fundamentos teórico-metodológicos segundo a ótica da comunicação que possam contribuir para a compreensão destes fenômenos e para sua superação em termos objetivos. Dessa forma, o saber popular em confluência com as redes sociais digitais, o papel dos agentes folkcomunicacionais, particularmente o ativista midiático, assim como uma concepção de Folkcomunicação Científica voltada para a “resistência” e a para “insistência”, marcada pelo envolvimento do receptor nos processos comunicacionais, estabelecem os referenciais para futuras pesquisas empíricas que evidenciem as práticas e estratégias comunicativas dos grupos vulneráveis e socialmente marginalizados num contexto pandêmico.

O protagonismo de grupos e pessoas que se manifestam através das expressões populares, em canais alternativos de comunicação pode colaborar com o desafio comunicacional imposto pela pandemia do Covid-19 que se revela não somente no problema de circular informações de caráter científico de natureza incerta para a população geral, como de enfrentar a polarização ocasionada pela disseminação de informações falsas, calcadas no negacionismo científico. A partir desta premissa investigamos, em plano de ensaio, os fundamentos teórico-metodológicos segundo a ótica da comunicação que possam contribuir para a compreensão destes fenômenos e para sua superação em termos objetivos. Dessa forma, o saber popular em confluência com as redes sociais digitais, o papel dos agentes folkcomunicacionais, particularmente o ativista midiático, assim como uma concepção de Folkcomunicação Científica voltada para a “resistência” e a para “insistência”, marcada pelo envolvimento do receptor nos processos comunicacionais, estabelecem os referenciais para futuras pesquisas empíricas que evidenciem as práticas e estratégias comunicativas dos grupos vulneráveis e socialmente marginalizados num contexto pandêmico.
Covid-19 e literatura de cordel
Authors: Lopes Bruno Bernardo Galindo Lopes , Souza Nazarete de Souza , Santos PEDRO PAULO PROCÓPIO DE OLIVEIRA SANTOS
Published: December 2021

O presente artigo analisa, por meio de alguns textos de Literatura de Cordel, disponíveis na internet, em que medida esta literatura incorporou as práticas preventivas contra a Covid-19 em sua temática, uma vez que tem no leque de suas características uma linguagem popular e lúdica e em seus temas insere o objetivo de informar seus leitores. Com este intuito, aqui visualiza-se a Folkcomunicação como instrumento e ponte entre o saber científico e o popular. Emprega-se a metodologia da Análise de Conteúdo, tomando para  amostra do estudo apenas quatro cordéis publicados no ano de 2020. A partir deles, investiga-se e comprova-se o objetivo proposto, ou seja, as informações e orientações sobre a Covid-19, preconizadas pela Organização Mundial de Saúde, veiculadas entre versos e estrofes de uma literatura popular.
Analysis of the national normative framework in terms of gender mainstreaming in institutional documents at central and local level
Authors:   Academy of Public Administration, Republic of Moldova, Popovici Angela , Tepordei Aurelia ,   Academy of Public Administration, Republic of Moldova
Published: December 2021

The purpose of this article is to analyze the normative framework on the dimension of gender equality in the Republic of Moldova in connection with international commitments and to identify the degree of integration of the gender dimension in institutional documents at central and local level. Following the mentioned analysis, a set of recommendations was formulated meant to integrate the principles of gender equality, but also the provisions of Law no.5 of 09.02.2021 on ensuring equal opportunities between women and men in the regulations on the organization and functioning of the authorities central and local public administration.
The right to be forgotten – one of the fundamental rights of internet users
Authors:   Academy of Public Administration, Republic of Moldova, Smochina Andrei , Tarna Alexandru ,   Moldova State University
Published: December 2021

Information technology changed the way we relate to information as any data posted on the Internet can remain accessible indefinitely. This ease of access undoubtedly favored the freedom of information, but the fundamental right to privacy of natural persons seems to be under threat in the absence of adequate legal mechanisms. Since recently the Court of Justice of the European Union (,,CJEU”) ruled in two cases (C136/17 and C-507/17) on a series of questions concerning the implementation of the right to de-referencing (digital right to be forgotten) and its territorial scope, this paper analyses the impact of those two judgments on the effectiveness of the right to be forgotten. On the one hand, we are witnessing its strengthening, especially as a result of the clarification that, in principle, the operator of a search engine is required to admit a request for de-referencing where the information relates to an earlier stage of a legal proceeding and no longer corresponds to the current situation. On the other hand, we find a limitation of its effectiveness, since, by default, the links removal by the operator of the search engine will only be done on the versions of that search engine corresponding to all member states. However, we must not forget that CJEU emphasized that, in the light of national standards of protection of fundamental rights, a supervisory or judicial authority of a member state remains competent to order, where appropriate, the operator of that search engine to carry out a de-referencing concerning all its versions.
Disputes regarding the remuneration of authorized directors in insolvency proceedings
Authors:   Academy of Public Administration, Republic of Moldova, Paladii Andrian , Catan Carolina ,   Institute of History, Republic of Moldova
Published: December 2021

The authorized administrator, regardless of the way he is appointed, fulfills the function of representative of justice, because he represents and defends not only the interests of the debtor and creditors, but, together with the insolvency court, offers the guarantee of compliance with legal provisions and coordinates, supervises and acts in in order to carry out the procedure.