Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854262
Hrvoie Karna, Niksa Mikulicic, Maja Skiljo
Situational awareness (SA) is a crucial element set before the military organizations. It provides a real-time view of activities in a specific area and forms a basis for the decision- making. The maritime setting involves operations in a Multi-Domain space. An important segment in achieving the SA involves the creation of a Recognized Maritime Picture (RMP). The RMP presents the relevant maritime information based on the process that involves detection, classification and assessment before they can be further distributed and actions taken. Croatia, as a maritime country and NATO member, is expected to maintain such capabilities. To this end, various tools have been developed or procured that form the backbone of today's operational information system. Yet, contemporary challenges are setting new requirements and it is necessary to continue transformation in order to maintain this capability as well as compatibility with the partner countries. This paper starts with presentation of the important elements required to understand the SA and RMP concepts in the naval context. It provides an overview of the efforts that Croatia has invested to develop its own systems that support the creation of RMP and their current status. Furthermore, following membership, conditions have been created for greater technical integration with other NATO operational users in support of the enhanced MSA and Command and Control (C2). Finally, we present trends and guidelines recommending further development of these systems that are necessary in order to maintain this capability and achieve greater integration with allies.
{"title":"Towards Enhanced Recognized Maritime Picture","authors":"Hrvoie Karna, Niksa Mikulicic, Maja Skiljo","doi":"10.23919/SpliTech55088.2022.9854262","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854262","url":null,"abstract":"Situational awareness (SA) is a crucial element set before the military organizations. It provides a real-time view of activities in a specific area and forms a basis for the decision- making. The maritime setting involves operations in a Multi-Domain space. An important segment in achieving the SA involves the creation of a Recognized Maritime Picture (RMP). The RMP presents the relevant maritime information based on the process that involves detection, classification and assessment before they can be further distributed and actions taken. Croatia, as a maritime country and NATO member, is expected to maintain such capabilities. To this end, various tools have been developed or procured that form the backbone of today's operational information system. Yet, contemporary challenges are setting new requirements and it is necessary to continue transformation in order to maintain this capability as well as compatibility with the partner countries. This paper starts with presentation of the important elements required to understand the SA and RMP concepts in the naval context. It provides an overview of the efforts that Croatia has invested to develop its own systems that support the creation of RMP and their current status. Furthermore, following membership, conditions have been created for greater technical integration with other NATO operational users in support of the enhanced MSA and Command and Control (C2). Finally, we present trends and guidelines recommending further development of these systems that are necessary in order to maintain this capability and achieve greater integration with allies.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126237632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854230
Ljiljana Šerić, Dino Miletic, Antonia Ivanda, Maja Braović
In this paper were analyzed the applicability of regression models to the problem of real time viewership prediction. In this paper the analysis is based on precise viewership data obtained from the national company responsible for maintaining the broadcasting infrastructure. The viewership data and the TV schedule archive data were preprocessed to create a dataset on which the analysis is performed. Analysis was performed on the correlation of the number of viewers with time series trends and TV schedule features. The results were compared with several implemented and trained models, and compared with the performance of various tested models. In this paper is described the methodology of building the models and discussed the obtained results.
{"title":"Predicting TV Viewership with Regression Models","authors":"Ljiljana Šerić, Dino Miletic, Antonia Ivanda, Maja Braović","doi":"10.23919/SpliTech55088.2022.9854230","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854230","url":null,"abstract":"In this paper were analyzed the applicability of regression models to the problem of real time viewership prediction. In this paper the analysis is based on precise viewership data obtained from the national company responsible for maintaining the broadcasting infrastructure. The viewership data and the TV schedule archive data were preprocessed to create a dataset on which the analysis is performed. Analysis was performed on the correlation of the number of viewers with time series trends and TV schedule features. The results were compared with several implemented and trained models, and compared with the performance of various tested models. In this paper is described the methodology of building the models and discussed the obtained results.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"13 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114012607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854213
E. Tapia, Leonardo Sastoque-Pinilla, Norberto López de Lacalle, Unai Lopez-Novoa
The aeronautical manufacturing sector is currently involved in the 4th industrial revolution, namely Industry 4.0, improving manufacturing processes with the support of ICT. One of the objectives of this revolution is to be able to predict manufacturing defects that can have economic and operational impacts. In this work, we present a software platform that monitors and detects outliers in an industrial manufacturing process, close to real time, using scalable software tools. Our platform collects data from a machine, processes it and plots visualizations in a dashboard with the results. The IQR method is used to detect outliers in the manufacturing process. We validate our platform by monitoring an Ibarmia THR 16, a versatile machining centre, located at the Aeronautics Advanced Manufacturing Centre in Zamudio, Spain. We conduct a performance evaluation of our platform in several ways and present the results, highlighting bottlenecks such as the limits of the OPC-UA industrial communication protocol.
{"title":"Towards real time monitoring of an aeronautical machining process using scalable technologies","authors":"E. Tapia, Leonardo Sastoque-Pinilla, Norberto López de Lacalle, Unai Lopez-Novoa","doi":"10.23919/SpliTech55088.2022.9854213","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854213","url":null,"abstract":"The aeronautical manufacturing sector is currently involved in the 4th industrial revolution, namely Industry 4.0, improving manufacturing processes with the support of ICT. One of the objectives of this revolution is to be able to predict manufacturing defects that can have economic and operational impacts. In this work, we present a software platform that monitors and detects outliers in an industrial manufacturing process, close to real time, using scalable software tools. Our platform collects data from a machine, processes it and plots visualizations in a dashboard with the results. The IQR method is used to detect outliers in the manufacturing process. We validate our platform by monitoring an Ibarmia THR 16, a versatile machining centre, located at the Aeronautics Advanced Manufacturing Centre in Zamudio, Spain. We conduct a performance evaluation of our platform in several ways and present the results, highlighting bottlenecks such as the limits of the OPC-UA industrial communication protocol.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"72 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113961615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854378
F. Ascione, R. D. de Masi, F. Tariello, C. Tucci, G. Vanoli
Studying fluid dynamics in an operating room has a key role to achieve the right air quality conditions inside, for different purposes, and thus the patient comfort, the correct air distribution (distinguishing infected or not infected patients), the recirculation of contaminants and so on. One of the most relevant parameters to take into account is the age of air, defined as the mean time that a particle takes to go from an inlet point to the considered point. This parameter can be employed to evaluate the air change effectiveness inside the room. In this study, the effect of two distinct arrangements of recovery grids for the air outflow and two different positions of the lighting systems are considered. The computational fluid dynamics software ANSYS Fluent is used to solve the partial differential equations governing the mass transport, air velocity components, turbulence, energy, and age of air in order to evaluate the changes in terms of age of air and air changes effectiveness in critical zones of an octagonal operating room. Inside the room, the presence of four people of medical staff and the patient is considered too. The results show critical differences among the distinct considered arrangements, highlighting how relevant the operating room fluid dynamics is. The lowest mean age of air (136 s) and the highest air changes effectiveness (108 %) among the simulated configurations occur in the case of vertical return grids and vision lamp on patient bed and when the xy vertical plane located at the center of the room is considered.
{"title":"Age of air and air change effectiveness in operating rooms: comparison of air distribution configurations","authors":"F. Ascione, R. D. de Masi, F. Tariello, C. Tucci, G. Vanoli","doi":"10.23919/SpliTech55088.2022.9854378","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854378","url":null,"abstract":"Studying fluid dynamics in an operating room has a key role to achieve the right air quality conditions inside, for different purposes, and thus the patient comfort, the correct air distribution (distinguishing infected or not infected patients), the recirculation of contaminants and so on. One of the most relevant parameters to take into account is the age of air, defined as the mean time that a particle takes to go from an inlet point to the considered point. This parameter can be employed to evaluate the air change effectiveness inside the room. In this study, the effect of two distinct arrangements of recovery grids for the air outflow and two different positions of the lighting systems are considered. The computational fluid dynamics software ANSYS Fluent is used to solve the partial differential equations governing the mass transport, air velocity components, turbulence, energy, and age of air in order to evaluate the changes in terms of age of air and air changes effectiveness in critical zones of an octagonal operating room. Inside the room, the presence of four people of medical staff and the patient is considered too. The results show critical differences among the distinct considered arrangements, highlighting how relevant the operating room fluid dynamics is. The lowest mean age of air (136 s) and the highest air changes effectiveness (108 %) among the simulated configurations occur in the case of vertical return grids and vision lamp on patient bed and when the xy vertical plane located at the center of the room is considered.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114401909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854245
Karima Rabaani, Wacim Chelly, M. K. Azizi, Riccardo Collela, Luca Cataranucci
In this work a simple, low cost and compact PIFA antenna for Bluetooth application is presented. The size of the proposed antenna is 16.3*6*4.9mm and it is designed and simulated under CST software using the low cost substrate FR4. The simulated S11 is <-10 dB over 2.42-2.49 GHz. The antenna shows acceptable gain around of 1.56 dB at the frequency 2.45 GHz with nearly omnidirectional radiation patterns over Bluetooth application.
{"title":"Planar Inverted-F Antenna for Bluetooth Applications","authors":"Karima Rabaani, Wacim Chelly, M. K. Azizi, Riccardo Collela, Luca Cataranucci","doi":"10.23919/SpliTech55088.2022.9854245","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854245","url":null,"abstract":"In this work a simple, low cost and compact PIFA antenna for Bluetooth application is presented. The size of the proposed antenna is 16.3*6*4.9mm and it is designed and simulated under CST software using the low cost substrate FR4. The simulated S11 is <-10 dB over 2.42-2.49 GHz. The antenna shows acceptable gain around of 1.56 dB at the frequency 2.45 GHz with nearly omnidirectional radiation patterns over Bluetooth application.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124279659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854338
Jovan Gojic, Danijel Radakovic
Software-Defined Networking or SDN (Software-Defined Networking) is a technology for software control and management of the network in order to improve its properties. Unlike classic network management technologies, which are complex and decentralized, SDN technology is a much more flexible and simple system. The new architecture may be vulnerable to several attacks leading to resource depletion and preventing the SDN controller from providing support to legitimate users. One such attack is the Distributed Denial of Service (DDoS), which is on the rise today. We suggest Modified-DDoSNet, a system for detecting DDoS attacks in the SDN environment. A model based on Deep Learning (DL) techniques will be implemented, combining a Recurrent Neural Network (RNN) with an Autoencoder. The proposed model, which was first trained to detect attacks, was implemented in the security architecture of the SDN network, as a new component. The security architecture of the SDN network contains a total of 13 components, each of which represents an individual part of the architecture, where the first component is the RNN - autoencoder. The model itself, which is the first component, was trained in the CICDDoS2019 dataset. It has high reliability for attack detection, which increases the security of the SDN network architecture.
软件定义网络或SDN (software - defined Networking)是一种对网络进行软件控制和管理以提高其性能的技术。与传统的复杂分散的网络管理技术不同，SDN技术是一个更加灵活和简单的系统。新的架构可能容易受到几种攻击，导致资源枯竭，并阻止SDN控制器为合法用户提供支持。其中一种攻击是分布式拒绝服务(DDoS)，这种攻击在今天呈上升趋势。我们建议使用Modified-DDoSNet，这是一个检测SDN环境下DDoS攻击的系统。将实现基于深度学习(DL)技术的模型，将循环神经网络(RNN)与自动编码器相结合。该模型首先进行了攻击检测训练，并作为一个新的组件实现在SDN网络的安全体系结构中。SDN网络的安全体系结构总共包含13个组件，每个组件代表体系结构的一个单独部分，其中第一个组件是RNN -自动编码器。模型本身是第一个组成部分，在CICDDoS2019数据集中进行了训练。它具有较高的攻击检测可靠性，提高了SDN网络架构的安全性。
{"title":"Proposal of security architecture in 5G mobile network with DDoS attack detection","authors":"Jovan Gojic, Danijel Radakovic","doi":"10.23919/SpliTech55088.2022.9854338","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854338","url":null,"abstract":"Software-Defined Networking or SDN (Software-Defined Networking) is a technology for software control and management of the network in order to improve its properties. Unlike classic network management technologies, which are complex and decentralized, SDN technology is a much more flexible and simple system. The new architecture may be vulnerable to several attacks leading to resource depletion and preventing the SDN controller from providing support to legitimate users. One such attack is the Distributed Denial of Service (DDoS), which is on the rise today. We suggest Modified-DDoSNet, a system for detecting DDoS attacks in the SDN environment. A model based on Deep Learning (DL) techniques will be implemented, combining a Recurrent Neural Network (RNN) with an Autoencoder. The proposed model, which was first trained to detect attacks, was implemented in the security architecture of the SDN network, as a new component. The security architecture of the SDN network contains a total of 13 components, each of which represents an individual part of the architecture, where the first component is the RNN - autoencoder. The model itself, which is the first component, was trained in the CICDDoS2019 dataset. It has high reliability for attack detection, which increases the security of the SDN network architecture.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124307163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854329
Somayeh Sadegh Koohestani, M. Santamouris
Solar energy, an endless source of electrical power and thermal energy, is one of the most promising ways to meet the energy demands of cities in the climate-change era. However, despite being a sustainable system for using solar energy, photovoltaic systems have only a maximum efficiency of 20% due to the inevitable temperature rise on PV cells' surfaces. To maintain Standard Test Conditions, passive, active, or a combination of cooling techniques are employed in order to cool down the surface temperature of the module. In this review paper, we presented a comprehensive classification of all the possible cooling technologies and evaluated the most recent studies of each cooling method to provide a thorough encyclopedia with a holistic consideration of installation configuration of each technique. Following outcomes are the results of the present review: (1) Passive cooling methods have the advantage of being easy to implement and less expensive, despite being generally more efficient. (2) Active cooling techniques are usually more expensive and difficult to install and maintain, making them less likely to be implemented on a large scale. (3) The evaluation indicated that Nano fluid cooling methods recorded the least satisfactory results with temperature reduction up to 2.4°C and electrical efficiency improvement of 9.7% at maximum based the reviewed studies, while (4) using fluid-based active cooling techniques in the form of jet impingement and spectrum filtering showed highly impressive improvements with up to 46°C and 33°C temperature reduction and 53 % and 47.67% enhancement in electrical efficiency, respectively. Suggested research direction for future studies is on less complicated cooling technologies with minimal installation which makes them easier to install and maintain, resulting in more probable applications for both domestic and large-scale implications.
{"title":"Comprehensive review of state-of-the-art photovoltaic cooling technologies","authors":"Somayeh Sadegh Koohestani, M. Santamouris","doi":"10.23919/SpliTech55088.2022.9854329","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854329","url":null,"abstract":"Solar energy, an endless source of electrical power and thermal energy, is one of the most promising ways to meet the energy demands of cities in the climate-change era. However, despite being a sustainable system for using solar energy, photovoltaic systems have only a maximum efficiency of 20% due to the inevitable temperature rise on PV cells' surfaces. To maintain Standard Test Conditions, passive, active, or a combination of cooling techniques are employed in order to cool down the surface temperature of the module. In this review paper, we presented a comprehensive classification of all the possible cooling technologies and evaluated the most recent studies of each cooling method to provide a thorough encyclopedia with a holistic consideration of installation configuration of each technique. Following outcomes are the results of the present review: (1) Passive cooling methods have the advantage of being easy to implement and less expensive, despite being generally more efficient. (2) Active cooling techniques are usually more expensive and difficult to install and maintain, making them less likely to be implemented on a large scale. (3) The evaluation indicated that Nano fluid cooling methods recorded the least satisfactory results with temperature reduction up to 2.4°C and electrical efficiency improvement of 9.7% at maximum based the reviewed studies, while (4) using fluid-based active cooling techniques in the form of jet impingement and spectrum filtering showed highly impressive improvements with up to 46°C and 33°C temperature reduction and 53 % and 47.67% enhancement in electrical efficiency, respectively. Suggested research direction for future studies is on less complicated cooling technologies with minimal installation which makes them easier to install and maintain, resulting in more probable applications for both domestic and large-scale implications.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123034377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854252
L. Bibbò, R. Carotenuto, Francesco Della Cort, M. Merenda, G. Messina
Rapid population growth and the increase in older people in need of care produce significant changes in healthcare and quality of life in many nations. Home care, compared to hospitalization, can be a valid and less expensive alternative. To help people with disabilities, we need to identify daily physical activities without supporting others. There are several automatic techniques for recognizing human activities. Nowadays, development in I CT and Artificial Intelligence enable intelligent systems to monitor the conditions and activities of elderly people. Moreover, nanotechnology such as MEMS offers advantages of small size, low power consumption, and analyzing human motion. These technologies can recognize when it is necessary to act in dangerous situations. The proposed solution in this manuscript represents an integrated prototype that provides an efficient technological tool to caregivers serving promptly and assuring efficient performance throughout the entire health care system process. In the present work, we use an IoT platform in which, through inertial sensors, we collect kinematic data transferred to a convolutional neural network to classify human activities. For accurate identification of the localization of the subjects, we integrated the system with an ultrasonic network. Then to verify the correct inter-pretation, we used Virtual Reality.
{"title":"Home care system for the elderly and pathological conditions","authors":"L. Bibbò, R. Carotenuto, Francesco Della Cort, M. Merenda, G. Messina","doi":"10.23919/SpliTech55088.2022.9854252","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854252","url":null,"abstract":"Rapid population growth and the increase in older people in need of care produce significant changes in healthcare and quality of life in many nations. Home care, compared to hospitalization, can be a valid and less expensive alternative. To help people with disabilities, we need to identify daily physical activities without supporting others. There are several automatic techniques for recognizing human activities. Nowadays, development in I CT and Artificial Intelligence enable intelligent systems to monitor the conditions and activities of elderly people. Moreover, nanotechnology such as MEMS offers advantages of small size, low power consumption, and analyzing human motion. These technologies can recognize when it is necessary to act in dangerous situations. The proposed solution in this manuscript represents an integrated prototype that provides an efficient technological tool to caregivers serving promptly and assuring efficient performance throughout the entire health care system process. In the present work, we use an IoT platform in which, through inertial sensors, we collect kinematic data transferred to a convolutional neural network to classify human activities. For accurate identification of the localization of the subjects, we integrated the system with an ultrasonic network. Then to verify the correct inter-pretation, we used Virtual Reality.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114951014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854323
Gibsy Estrada-Calderon, Habid Becerra-Santacruz
This paper presents a project that aims to reduce the urban heat island effect (UHI) through the design of temperature-sensitive surfaces which respond to changing heat conditions. The design process begins with the identification of the solutions generated up to the date in technical aspects, and from the creative field, to subsequently make a morphologic and material exploration, for the purpose of generating a prototype surface. Digital and physical prototypes generated and fabricated from this process were subjected to superficial temperature tests to probe their reaction capacity to respond to these changes. Experiments were conducted having concrete as a base material, which was modified with natural pigments and smart materials, thermochromic pigments, intending to identify variation on surface thermal capacity and reflectance. The observed results could be favorable in the purpose of impacting superficial temperature variations. The obtained Results show that the surfaces can be manipulated to be turned into elements that respond to the environment, in this case with the material, chromic, and morphologic modifications. Sensitive surfaces have the potential to contribute to reduce surface temperature by becoming constant elements in small- or large-scale design, allowing the creation of a resilient urban environment in the face of adverse environmental conditions.
{"title":"Temperature sensitive surface to minimize the urban heat island effect","authors":"Gibsy Estrada-Calderon, Habid Becerra-Santacruz","doi":"10.23919/SpliTech55088.2022.9854323","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854323","url":null,"abstract":"This paper presents a project that aims to reduce the urban heat island effect (UHI) through the design of temperature-sensitive surfaces which respond to changing heat conditions. The design process begins with the identification of the solutions generated up to the date in technical aspects, and from the creative field, to subsequently make a morphologic and material exploration, for the purpose of generating a prototype surface. Digital and physical prototypes generated and fabricated from this process were subjected to superficial temperature tests to probe their reaction capacity to respond to these changes. Experiments were conducted having concrete as a base material, which was modified with natural pigments and smart materials, thermochromic pigments, intending to identify variation on surface thermal capacity and reflectance. The observed results could be favorable in the purpose of impacting superficial temperature variations. The obtained Results show that the surfaces can be manipulated to be turned into elements that respond to the environment, in this case with the material, chromic, and morphologic modifications. Sensitive surfaces have the potential to contribute to reduce surface temperature by becoming constant elements in small- or large-scale design, allowing the creation of a resilient urban environment in the face of adverse environmental conditions.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122933236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-05DOI: 10.23919/SpliTech55088.2022.9854228
Josip Bilandžić, D. Pelin, Andrej Brandis, D. Topić, Goran Knežcvić, Z. Šimić
In this paper, battery charge and discharge simulation are shown for one battery energy storage system. For this purpose, the two-stage bidirectional power converter is used to achieve power conversion from battery storage to the grid in one, and from the grid to the battery storage in another case. Operation principles of a full bridge rectifier and full bridge three-phase AC/DC converter are explained, and the waveforms for both, battery charge and discharge modes are shown. The simulation model is done in MATLAB SIMULINK software, where simulation results are obtained and analyzed for both operation modes of the system.
{"title":"Simulation model for power electronic conversion in stationary battery storage system","authors":"Josip Bilandžić, D. Pelin, Andrej Brandis, D. Topić, Goran Knežcvić, Z. Šimić","doi":"10.23919/SpliTech55088.2022.9854228","DOIUrl":"https://doi.org/10.23919/SpliTech55088.2022.9854228","url":null,"abstract":"In this paper, battery charge and discharge simulation are shown for one battery energy storage system. For this purpose, the two-stage bidirectional power converter is used to achieve power conversion from battery storage to the grid in one, and from the grid to the battery storage in another case. Operation principles of a full bridge rectifier and full bridge three-phase AC/DC converter are explained, and the waveforms for both, battery charge and discharge modes are shown. The simulation model is done in MATLAB SIMULINK software, where simulation results are obtained and analyzed for both operation modes of the system.","PeriodicalId":295373,"journal":{"name":"2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128910787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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