Pub Date : 2020-11-23DOI: 10.5194/isprs-archives-xliv-4-w3-2020-303-2020
M. Najy, Fatima Zahra Talbi, H. Ech-Chafay, M. Lachhab, M. El Qreyfi, D. Belghyti
Abstract. Domestic wastewater (toilet water and household water from kitchens) is evacuated in unit or separate networks to the purification station (STEP) in order to eliminate their waste; organic and mineral matter, dissolved and suspended before discharging them into the natural environment or reusing them in irrigation. The main purpose of this work is to operate the wastewater treatment plant in the Ben Slimane Airport area by using activated sludge, this process consists of destroying pollutants and microorganisms by bacteria formed in the clarifier. Moreover, the operation of the station was considered by controlling the sensors installed in each basin to promote their optimization, in addition, the physicochemical analysis was carried out in the STEP laboratory. The results found for the parameters studied showed the very effective reduction of the organic load of the wastewater treatment plant, so these values meet the discharge standards defined by Moroccan legislation.
{"title":"EXPLOITATION OF THE DOMESTIC WASTEWATER TREATMENT PLANT BY ACTIVATED SLUDGE IN THE AIRPORT AREA OF THE CITY BEN SLIMANE (MOROCCO)","authors":"M. Najy, Fatima Zahra Talbi, H. Ech-Chafay, M. Lachhab, M. El Qreyfi, D. Belghyti","doi":"10.5194/isprs-archives-xliv-4-w3-2020-303-2020","DOIUrl":"https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-303-2020","url":null,"abstract":"Abstract. Domestic wastewater (toilet water and household water from kitchens) is evacuated in unit or separate networks to the purification station (STEP) in order to eliminate their waste; organic and mineral matter, dissolved and suspended before discharging them into the natural environment or reusing them in irrigation. The main purpose of this work is to operate the wastewater treatment plant in the Ben Slimane Airport area by using activated sludge, this process consists of destroying pollutants and microorganisms by bacteria formed in the clarifier. Moreover, the operation of the station was considered by controlling the sensors installed in each basin to promote their optimization, in addition, the physicochemical analysis was carried out in the STEP laboratory. The results found for the parameters studied showed the very effective reduction of the organic load of the wastewater treatment plant, so these values meet the discharge standards defined by Moroccan legislation.","PeriodicalId":14757,"journal":{"name":"ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"28 1","pages":"303-308"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73448367","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 : 2020-11-23DOI: 10.5194/isprs-archives-xliv-4-w3-2020-331-2020
Z. Oumekloul, Y. Achaoui, A. Mir, A. Akjouj
Abstract. One of the best challenges regarding the futuristic vision of smart-city technologies is to offer a comfortable self-governance energy, especially when it comes to electricity storage. If one wants to revolutionize a pre-existing way of living, it is inescapable to neglect basic ingredients gathered from basic physics. The topic of Metamaterials represents a key field that might be explored and thus exploited to propose unprecedented ideas for completely no-existing properties and functionalities. Unlike other ambitious techniques, with a simple stratified surface in combination with a suitable choice of materials, it is possible to propose new solar cells operating in a broad range of frequencies. In this paper, we demonstrate a manner to achieve strong coupling interaction between metallic gold nanowires with a WS2 and MoS2 multi-layer. The novelty of this work lies in the drastic stability of the effect of the thickness layer variation on both, absorption performances and the electric field distribution within the visible and near-infrared range. Accordingly, this new design may be considered of prime importance in several areas such as sensing and solar cell efficiency, to cite a few examples.
{"title":"MULTI-LAYER WS2 AND MOS2 BASED PLASMONIC SOLAR CELL FOR SMART ENERGY HARVESTING","authors":"Z. Oumekloul, Y. Achaoui, A. Mir, A. Akjouj","doi":"10.5194/isprs-archives-xliv-4-w3-2020-331-2020","DOIUrl":"https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-331-2020","url":null,"abstract":"Abstract. One of the best challenges regarding the futuristic vision of smart-city technologies is to offer a comfortable self-governance energy, especially when it comes to electricity storage. If one wants to revolutionize a pre-existing way of living, it is inescapable to neglect basic ingredients gathered from basic physics. The topic of Metamaterials represents a key field that might be explored and thus exploited to propose unprecedented ideas for completely no-existing properties and functionalities. Unlike other ambitious techniques, with a simple stratified surface in combination with a suitable choice of materials, it is possible to propose new solar cells operating in a broad range of frequencies. In this paper, we demonstrate a manner to achieve strong coupling interaction between metallic gold nanowires with a WS2 and MoS2 multi-layer. The novelty of this work lies in the drastic stability of the effect of the thickness layer variation on both, absorption performances and the electric field distribution within the visible and near-infrared range. Accordingly, this new design may be considered of prime importance in several areas such as sensing and solar cell efficiency, to cite a few examples.","PeriodicalId":14757,"journal":{"name":"ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"50 1","pages":"331-334"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76720905","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 : 2020-11-23DOI: 10.5194/isprs-archives-xliv-4-w3-2020-413-2020
W. Yu, J. Xi, Z. Wu, W. Lei, C. Zhu, T. Tang
Abstract. Smart grid construction puts higher demands on the construction of 3D models of substations. However, duo to the complex and diverse structures of substation facilities, it is still a challenge to extract the fine three-dimensional structure of the substation facilities from the massive laser point clouds. To solve this problem, this paper proposes a method for extracting substation equipment from laser scanning point clouds. Firstly, in order to improve the processing efficiency and reduce the noises, the regular voxel grid sampling method is used to down-sample the input point cloud. Furthermore, the multi-scale morphological filtering algorithm is used to segment the point cloud into ground points and non-ground points. Based on the non-ground point cloud data, the substation region is extracted using plane detection in point clouds. Then, for the filtered substation point cloud data, a three-dimensional polygon prism segmentation algorithm based on point dimension feature is proposed to extract the substation equipment. Finally, the substation LiDAR point cloud data collected by the UAV laser scanning system is used to verify the algorithm, and the qualitative and quantitative comparison analysis between the detected results and the manually extracted results are carried out. The experimental results show that the proposed method can accurately extract the substation equipment structure from the laser point cloud data. The results are consistent with the manually extracted results, which demonstrate the great potential of the proposed method in substation extraction and power system 3D modelling applications.
{"title":"A METHOD FOR EXTRACTING SUBSTATION EQUIPMENT BASED ON UAV LASER SCANNING POINT CLOUDS","authors":"W. Yu, J. Xi, Z. Wu, W. Lei, C. Zhu, T. Tang","doi":"10.5194/isprs-archives-xliv-4-w3-2020-413-2020","DOIUrl":"https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-413-2020","url":null,"abstract":"Abstract. Smart grid construction puts higher demands on the construction of 3D models of substations. However, duo to the complex and diverse structures of substation facilities, it is still a challenge to extract the fine three-dimensional structure of the substation facilities from the massive laser point clouds. To solve this problem, this paper proposes a method for extracting substation equipment from laser scanning point clouds. Firstly, in order to improve the processing efficiency and reduce the noises, the regular voxel grid sampling method is used to down-sample the input point cloud. Furthermore, the multi-scale morphological filtering algorithm is used to segment the point cloud into ground points and non-ground points. Based on the non-ground point cloud data, the substation region is extracted using plane detection in point clouds. Then, for the filtered substation point cloud data, a three-dimensional polygon prism segmentation algorithm based on point dimension feature is proposed to extract the substation equipment. Finally, the substation LiDAR point cloud data collected by the UAV laser scanning system is used to verify the algorithm, and the qualitative and quantitative comparison analysis between the detected results and the manually extracted results are carried out. The experimental results show that the proposed method can accurately extract the substation equipment structure from the laser point cloud data. The results are consistent with the manually extracted results, which demonstrate the great potential of the proposed method in substation extraction and power system 3D modelling applications.","PeriodicalId":14757,"journal":{"name":"ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"58 1","pages":"413-419"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88267462","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 : 2020-11-23DOI: 10.5194/isprs-archives-xliv-4-w3-2020-399-2020
Z. Uçar, A. Akay, E. Bi̇li̇ci̇
Abstract. More than half of the total world’s population lives in urban areas, and it is expected that 66% of all them will live in urban areas by 2050. The population growth and continuing urbanization in the world cause many social, economic, technical, and organizational problems related to transportation, businesses, communication networks, services, and utilities that can risk the cities’ economic and environmental sustainability. Recently, a smart city concept has been developed to provide a solution to improve citizens’ quality of life in urban areas with the adoption of smart and digital technologies and infrastructure for energy, water, mobility, buildings, and government. The smart city concept considers “zero vision” that refers to the use of smart city technologies, Information and Communication Technologies (ICTs) and Internet of Things (IoT) tools, to minimize negative impacts (i.e., zero traffic accident, zero CO2 emission, zero waste, zero crime) in the cities. However, the research in this zero-vision approach mainly focused on transportation and energy. Urban forestry and urban vegetated areas in the cities inherently provide benefits such as reducing air pollution, urban heat island effects, and flood risk and increasing the water quality, aesthetic value, and value of the property that improve citizens’ quality of life. The smart city concept switched towards to sustainable smart city concept that takes into account the services provided by urban forestry and urban vegetation. In this study, the shifts in the smart city concept towards the sustainable smart city, the role of the urban forestry and urban vegetation in this shift was presented. Also, ICTs and IoT tools specifically designed for monitoring, assessing, and managing urban forestry and urban vegetation was reviewed.
{"title":"TOWARDS GREEN SMART CITIES: IMPORTANCE OF URBAN FORESTRY AND URBAN VEGETATION","authors":"Z. Uçar, A. Akay, E. Bi̇li̇ci̇","doi":"10.5194/isprs-archives-xliv-4-w3-2020-399-2020","DOIUrl":"https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-399-2020","url":null,"abstract":"Abstract. More than half of the total world’s population lives in urban areas, and it is expected that 66% of all them will live in urban areas by 2050. The population growth and continuing urbanization in the world cause many social, economic, technical, and organizational problems related to transportation, businesses, communication networks, services, and utilities that can risk the cities’ economic and environmental sustainability. Recently, a smart city concept has been developed to provide a solution to improve citizens’ quality of life in urban areas with the adoption of smart and digital technologies and infrastructure for energy, water, mobility, buildings, and government. The smart city concept considers “zero vision” that refers to the use of smart city technologies, Information and Communication Technologies (ICTs) and Internet of Things (IoT) tools, to minimize negative impacts (i.e., zero traffic accident, zero CO2 emission, zero waste, zero crime) in the cities. However, the research in this zero-vision approach mainly focused on transportation and energy. Urban forestry and urban vegetated areas in the cities inherently provide benefits such as reducing air pollution, urban heat island effects, and flood risk and increasing the water quality, aesthetic value, and value of the property that improve citizens’ quality of life. The smart city concept switched towards to sustainable smart city concept that takes into account the services provided by urban forestry and urban vegetation. In this study, the shifts in the smart city concept towards the sustainable smart city, the role of the urban forestry and urban vegetation in this shift was presented. Also, ICTs and IoT tools specifically designed for monitoring, assessing, and managing urban forestry and urban vegetation was reviewed.","PeriodicalId":14757,"journal":{"name":"ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"24 1","pages":"399-403"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89048771","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 : 2020-11-23DOI: 10.5194/isprs-archives-xliv-4-w3-2020-263-2020
K. Ismail, K. Özacar
Abstract. Human activity recognitions have been widely used nowadays by end users thanks to extensive usage of smartphones. Smartphones, by self-containing low-cost sensing technology, can track our daily activities for serving healthcare, sport, interactive AR/VR games and so on. However, smartphone technology is evolving and the techniques of using the data that smartphones go through are also improving. In this study, we used built-in sensing technologies (accelerometer and gyroscope) available in nearly every smartphone to detect the most common 5 daily activities of human by taking the data of these sensors and extract the features for a Convolutional Neural Network (CNN) model. We prepare a dataset and use TensorFlow to train the collected data from the sensors then filtered it to be processed. We also discuss the differences in CNN model accuracy with different optimizers. To demonstrate the model, we developed an android application that successfully predict an activity. We believe that after improving this application, it can be used for especially lonely old people to immediately warn authorities in case of any daily incidents.
{"title":"HUMAN ACTIVITY RECOGNITION BASED ON SMARTPHONE SENSOR DATA USING CNN","authors":"K. Ismail, K. Özacar","doi":"10.5194/isprs-archives-xliv-4-w3-2020-263-2020","DOIUrl":"https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-263-2020","url":null,"abstract":"Abstract. Human activity recognitions have been widely used nowadays by end users thanks to extensive usage of smartphones. Smartphones, by self-containing low-cost sensing technology, can track our daily activities for serving healthcare, sport, interactive AR/VR games and so on. However, smartphone technology is evolving and the techniques of using the data that smartphones go through are also improving. In this study, we used built-in sensing technologies (accelerometer and gyroscope) available in nearly every smartphone to detect the most common 5 daily activities of human by taking the data of these sensors and extract the features for a Convolutional Neural Network (CNN) model. We prepare a dataset and use TensorFlow to train the collected data from the sensors then filtered it to be processed. We also discuss the differences in CNN model accuracy with different optimizers. To demonstrate the model, we developed an android application that successfully predict an activity. We believe that after improving this application, it can be used for especially lonely old people to immediately warn authorities in case of any daily incidents.","PeriodicalId":14757,"journal":{"name":"ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"45 1","pages":"263-265"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83941556","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 : 2020-11-23DOI: 10.5194/isprs-archives-xliv-4-w3-2020-273-2020
S. Machwate, I. Alaoui
Abstract. The MOOC of physical optics of the Morocco Digital University platform is intended mainly for students of the Moroccan universities and engineering schools. The first session took place during the period March-June 2019. This MOOC includes the physical optics program of the license in physical sciences. It contains pedagogically scripted videos, documents for integrated reading or download, audiovisual presentations of practical experiences, links to digital simulations, exercises, and evaluations. The proposed assessment is carried out in three stages. A reflexive self-assessment at the end of each video capsule. A formative/summative evaluation at the end of the week. A summative evaluation covering the entire content. Students of the Faculty of Sciences Semlalia, who followed the MOOC completely or in part, were able to improve their results of the final face-to-face exam. Learners, who have obtained an overall grade higher than 60%, can obtain a certificate of success of this MOOC issued by a national entity.
{"title":"SMART INTEGRATION OF EVALUATION ACTIVITIES IN THE FRAMEWORK OF PHYSICAL OPTICS MOOC (MOOC UCA-002) OF THE MUN PLATFORM","authors":"S. Machwate, I. Alaoui","doi":"10.5194/isprs-archives-xliv-4-w3-2020-273-2020","DOIUrl":"https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-273-2020","url":null,"abstract":"Abstract. The MOOC of physical optics of the Morocco Digital University platform is intended mainly for students of the Moroccan universities and engineering schools. The first session took place during the period March-June 2019. This MOOC includes the physical optics program of the license in physical sciences. It contains pedagogically scripted videos, documents for integrated reading or download, audiovisual presentations of practical experiences, links to digital simulations, exercises, and evaluations. The proposed assessment is carried out in three stages. A reflexive self-assessment at the end of each video capsule. A formative/summative evaluation at the end of the week. A summative evaluation covering the entire content. Students of the Faculty of Sciences Semlalia, who followed the MOOC completely or in part, were able to improve their results of the final face-to-face exam. Learners, who have obtained an overall grade higher than 60%, can obtain a certificate of success of this MOOC issued by a national entity.","PeriodicalId":14757,"journal":{"name":"ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"20 1","pages":"273-277"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87775021","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 : 2020-11-23DOI: 10.5194/isprs-archives-xliv-4-w3-2020-313-2020
A. A. M. Nasir, S. Azri, U. Ujang, Z. Majid
Abstract. Urbanization is the access to modernization and development around the world. Nowadays, with the current technology development, smart cities are seen as a new approach in urban management and development. 3D asset management is one of the components to support the idea of smart city. 3D asset management is important to assist the monitoring and maintenance of asset in smart city by enabling visualization of 3D models, locating and query in real-time based. In Malaysia, the government is looking seriously at the issues of asset management and maintenance. This is happened because asset management in present day is already moving towards the revolution of smart city but still considered as time consuming and open to human errors as the asset managers or authorities still considering on paper-dependent and manual inspection practise. In the past few years, Malaysia has developing an electronic-based asset management, MySPATA that is made prior to the inefficiency on the asset management system. MySPATA has been introduced as electronic based asset management solution for immovable assets that belong to various department and ministries. However, the creation of MySPATA is considered as bland and time-consuming as its application only storing and displaying asset information. Thus, the implementation of 3D asset management is required for a better and effective management. In this paper, we proposed the conceptual model of 3D asset management by incorporating with the new CityGML standard. The proposed 3D asset management is based on MySPATA module. CityGML plays an important role in demonstrating the 3D asset management for modelling, string and exchanging city models in the international standard. So, the 3D asset management is developed based on MySPATA module that integrated with new CityGML concept. Therefore, with this new approach and concept, the managing of assets will lead for better management and maintenance.
{"title":"CONCEPTUAL MODEL OF 3D ASSET MANAGEMENT BASED ON MYSPATA TO SUPPORT SMART CITY APPLICATION IN MALAYSIA","authors":"A. A. M. Nasir, S. Azri, U. Ujang, Z. Majid","doi":"10.5194/isprs-archives-xliv-4-w3-2020-313-2020","DOIUrl":"https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-313-2020","url":null,"abstract":"Abstract. Urbanization is the access to modernization and development around the world. Nowadays, with the current technology development, smart cities are seen as a new approach in urban management and development. 3D asset management is one of the components to support the idea of smart city. 3D asset management is important to assist the monitoring and maintenance of asset in smart city by enabling visualization of 3D models, locating and query in real-time based. In Malaysia, the government is looking seriously at the issues of asset management and maintenance. This is happened because asset management in present day is already moving towards the revolution of smart city but still considered as time consuming and open to human errors as the asset managers or authorities still considering on paper-dependent and manual inspection practise. In the past few years, Malaysia has developing an electronic-based asset management, MySPATA that is made prior to the inefficiency on the asset management system. MySPATA has been introduced as electronic based asset management solution for immovable assets that belong to various department and ministries. However, the creation of MySPATA is considered as bland and time-consuming as its application only storing and displaying asset information. Thus, the implementation of 3D asset management is required for a better and effective management. In this paper, we proposed the conceptual model of 3D asset management by incorporating with the new CityGML standard. The proposed 3D asset management is based on MySPATA module. CityGML plays an important role in demonstrating the 3D asset management for modelling, string and exchanging city models in the international standard. So, the 3D asset management is developed based on MySPATA module that integrated with new CityGML concept. Therefore, with this new approach and concept, the managing of assets will lead for better management and maintenance.","PeriodicalId":14757,"journal":{"name":"ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"1102 1","pages":"313-322"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76463050","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 : 2020-11-23DOI: 10.5194/isprs-archives-xliv-4-w3-2020-173-2020
D. Çinar Umdu, E. Alakavuk
Abstract. The modern world is fast in many ways and a place where technological innovations can be adapted immediately. This speed and technological progress can be seen as a kind of development. It has positive as well as negative aspects. Economic and social problems, population growth, consumption of resources, high energy use, environmental pollution and climate change are negative phenomena brought by the modern world. Cities can also be seen as units that work on different strategies and models due to fast living, environmental, social and economic problems. Especially developing urban technology, the increase in the population rate in the cities and environmental problems have led to the development and discussion of many terms and concepts in the architecture and design literature in the urbanization process. The word and concept accumulation they possess is too much to ignore. The concepts of smart city, digital city and intelligent city are the concepts put forward to solve the problems caused by the urban developing world. These three concepts are based on the use of urban technology and they are either confused with each other or their boundaries are not determined too much. In this study, while determining the boundaries of these concepts, which have a lot in common with each other, similarities and differences between the concepts were revealed and suggestions were made regarding the definitions of the concepts.
{"title":"UNDERSTANDING OF SMART CITIES, DIGITAL CITIES AND INTELLIGENT CITIES: SIMILARITIES AND DIFFERENCES","authors":"D. Çinar Umdu, E. Alakavuk","doi":"10.5194/isprs-archives-xliv-4-w3-2020-173-2020","DOIUrl":"https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-173-2020","url":null,"abstract":"Abstract. The modern world is fast in many ways and a place where technological innovations can be adapted immediately. This speed and technological progress can be seen as a kind of development. It has positive as well as negative aspects. Economic and social problems, population growth, consumption of resources, high energy use, environmental pollution and climate change are negative phenomena brought by the modern world. Cities can also be seen as units that work on different strategies and models due to fast living, environmental, social and economic problems. Especially developing urban technology, the increase in the population rate in the cities and environmental problems have led to the development and discussion of many terms and concepts in the architecture and design literature in the urbanization process. The word and concept accumulation they possess is too much to ignore. The concepts of smart city, digital city and intelligent city are the concepts put forward to solve the problems caused by the urban developing world. These three concepts are based on the use of urban technology and they are either confused with each other or their boundaries are not determined too much. In this study, while determining the boundaries of these concepts, which have a lot in common with each other, similarities and differences between the concepts were revealed and suggestions were made regarding the definitions of the concepts.","PeriodicalId":14757,"journal":{"name":"ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"23 1","pages":"173-180"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84683277","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 : 2020-11-23DOI: 10.5194/isprs-archives-xliv-4-w3-2020-379-2020
E. Ardebili, S. Eken, K. Küçük
Abstract. After a brief look at the smart home, we conclude that to have a smart home, and it is necessary to have an intelligent management center. In this article, We have tried to make it possible for the smart home management center to be able to detect the presence of an abnormal state in the behavior of someone who lives in the house. In the proposed method, the daily algorithm examines the rate of changes of a person and provides a number which is henceforth called NNC (Number of normal changes) based on the person’s behavioral changes. We achieve the NNC number using a machine learning algorithm and performing a series of several simple statistical and mathematical calculations. NNC is a number that shows abnormal changes in residents’ behaviors in a smart home, i.e., this number is a small number for a regular person with constant planning and for a person who may not have any fixed principles and regular in personal life is a big number.To increase our accuracy in calculating NNC, we review all common machine learning algorithms and after tests we choose the decision tree because of its higher accuracy and speed and finally, NNC number is obtained by combining the Decision Tree algorithm with statistical and mathematical methods. In this method, we present a set of states and information obtained from the sensors along with the activities performed by the occupant of the house over a period of several days to the proposed algorithm. and the method ahead generates the main NNC number for those days for anyone living in a smart home. To generate this main NNC, we calculate each person’s daily NNC. That means we have daily NNCs for each person (based on his/her behaviors on that day) and the main NNC is the average of these daily NNC. We chose ARAS dataset (Human Activity Datasets in Multiple Homes with Multiple Residents) to implement our method and after tests and replications on the ARAS dataset, and to find anomalies in each person’s behavior in a day, we compare the main (average) NNC with that person’s daily NNC on that day. Finally, we can say, if the main NNC changes more than 30%, there is a possibility of an abnormality. and if the NNC changes more than 60% percent, we can say that an abnormal state or an uncommon event happened that day, and a declaration of an abnormal state will be issued to the resident of the house.
{"title":"ACTIVITY RECOGNITION FOR AMBIENT SENSING DATA AND RULE BASED ANOMALY DETECTION","authors":"E. Ardebili, S. Eken, K. Küçük","doi":"10.5194/isprs-archives-xliv-4-w3-2020-379-2020","DOIUrl":"https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-379-2020","url":null,"abstract":"Abstract. After a brief look at the smart home, we conclude that to have a smart home, and it is necessary to have an intelligent management center. In this article, We have tried to make it possible for the smart home management center to be able to detect the presence of an abnormal state in the behavior of someone who lives in the house. In the proposed method, the daily algorithm examines the rate of changes of a person and provides a number which is henceforth called NNC (Number of normal changes) based on the person’s behavioral changes. We achieve the NNC number using a machine learning algorithm and performing a series of several simple statistical and mathematical calculations. NNC is a number that shows abnormal changes in residents’ behaviors in a smart home, i.e., this number is a small number for a regular person with constant planning and for a person who may not have any fixed principles and regular in personal life is a big number.To increase our accuracy in calculating NNC, we review all common machine learning algorithms and after tests we choose the decision tree because of its higher accuracy and speed and finally, NNC number is obtained by combining the Decision Tree algorithm with statistical and mathematical methods. In this method, we present a set of states and information obtained from the sensors along with the activities performed by the occupant of the house over a period of several days to the proposed algorithm. and the method ahead generates the main NNC number for those days for anyone living in a smart home. To generate this main NNC, we calculate each person’s daily NNC. That means we have daily NNCs for each person (based on his/her behaviors on that day) and the main NNC is the average of these daily NNC. We chose ARAS dataset (Human Activity Datasets in Multiple Homes with Multiple Residents) to implement our method and after tests and replications on the ARAS dataset, and to find anomalies in each person’s behavior in a day, we compare the main (average) NNC with that person’s daily NNC on that day. Finally, we can say, if the main NNC changes more than 30%, there is a possibility of an abnormality. and if the NNC changes more than 60% percent, we can say that an abnormal state or an uncommon event happened that day, and a declaration of an abnormal state will be issued to the resident of the house.","PeriodicalId":14757,"journal":{"name":"ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"92 1","pages":"379-382"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78658278","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 : 2020-11-23DOI: 10.5194/isprs-archives-xliv-4-w3-2020-375-2020
H. Sevinç, I. R. Karas, E. Demiral
Abstract. The users can contribute to geographic information through platforms such as Wikimapia and OpenStreetMap. They can also generate data by themselves with their applications in cyber worlds like Google Earth. This study is primarily designed to be a guide regarding Volunteered Geographical Information (VGI) and to evaluate the geometric accuracy of data collected from volunteers on application. The main purpose of this study is to present basic information about Volunteered Geographical Information (VGI), why users are tending to use VGI, the accuracy of the data entered by the user, to examine the examples of use in various fields, to learn about geographic information systems and to compare this phenomenon and also by developing a VGI application to examine the similarity between the actual data and the data collected from volunteer users. A mobile and web-based application have been developed to collect traffic accident data from volunteer users. The geometric accuracy analysis was performed by comparing the data collected with this application with the data obtained from the General Directorate of Security.
{"title":"MOBILE-WEB-BASE VOLUNTEERED GEOGRAPHIC INFORMATION APPLICATION AND GEOMETRIC ACCURACY ANALYSIS FOR TRAFFIC ACCIDENTS","authors":"H. Sevinç, I. R. Karas, E. Demiral","doi":"10.5194/isprs-archives-xliv-4-w3-2020-375-2020","DOIUrl":"https://doi.org/10.5194/isprs-archives-xliv-4-w3-2020-375-2020","url":null,"abstract":"Abstract. The users can contribute to geographic information through platforms such as Wikimapia and OpenStreetMap. They can also generate data by themselves with their applications in cyber worlds like Google Earth. This study is primarily designed to be a guide regarding Volunteered Geographical Information (VGI) and to evaluate the geometric accuracy of data collected from volunteers on application. The main purpose of this study is to present basic information about Volunteered Geographical Information (VGI), why users are tending to use VGI, the accuracy of the data entered by the user, to examine the examples of use in various fields, to learn about geographic information systems and to compare this phenomenon and also by developing a VGI application to examine the similarity between the actual data and the data collected from volunteer users. A mobile and web-based application have been developed to collect traffic accident data from volunteer users. The geometric accuracy analysis was performed by comparing the data collected with this application with the data obtained from the General Directorate of Security.","PeriodicalId":14757,"journal":{"name":"ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"31 1","pages":"375-378"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77920805","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：