Pub Date : 2022-01-01DOI: 10.2478/ijssis-2022-0013
B. Manikandan, Abhishek Gudipalli
Abstract This paper reviews the battery technology, methods of charging techniques for charging the EV's battery, factors affecting the EV adaptation, India. Many significant methods recently used in electric vehicles are explained. In India, it has taken a major step in adapting the electric vehicle employing the Faster Adoption and Manufacturing of (Hybrid &) Electric Vehicles in India (FAME) scheme a government initiative. In the forthcoming years, electrification of transportation networks is a basic one while considering the consumption of petroleum derivatives just for the 50 years. Transportation is the most important source of logistics, and people contribute significant primary emissions to global warming, so avoid this situation by focusing on zero emissions. Transportation by electric vehicle is the lone achievable answer for these issues. This paper presents the effect of quick charging on Lithium-ion batteries in EVs. The Lithiumion battery is utilized to be essential energy for electric vehicle driving objective and characterized in high volume per energy density. The plan of the battery charging station is utilized to discover the gas volume of the lithium-ion battery component from the electric vehicles. In the final, it points out the future potential research with respect to electric vehicle innovation and how to grow the charging infrastructure for EVs. Also including the developments need and improvements.
{"title":"A review on electrical vehicle adaptation in India","authors":"B. Manikandan, Abhishek Gudipalli","doi":"10.2478/ijssis-2022-0013","DOIUrl":"https://doi.org/10.2478/ijssis-2022-0013","url":null,"abstract":"Abstract This paper reviews the battery technology, methods of charging techniques for charging the EV's battery, factors affecting the EV adaptation, India. Many significant methods recently used in electric vehicles are explained. In India, it has taken a major step in adapting the electric vehicle employing the Faster Adoption and Manufacturing of (Hybrid &) Electric Vehicles in India (FAME) scheme a government initiative. In the forthcoming years, electrification of transportation networks is a basic one while considering the consumption of petroleum derivatives just for the 50 years. Transportation is the most important source of logistics, and people contribute significant primary emissions to global warming, so avoid this situation by focusing on zero emissions. Transportation by electric vehicle is the lone achievable answer for these issues. This paper presents the effect of quick charging on Lithium-ion batteries in EVs. The Lithiumion battery is utilized to be essential energy for electric vehicle driving objective and characterized in high volume per energy density. The plan of the battery charging station is utilized to discover the gas volume of the lithium-ion battery component from the electric vehicles. In the final, it points out the future potential research with respect to electric vehicle innovation and how to grow the charging infrastructure for EVs. Also including the developments need and improvements.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43496636","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 : 2022-01-01DOI: 10.21307/ijssis-2022-0002
Asha Rani Mishra, V. K. Panchal
Abstract The presence of near duplicate textual content imposes great challenges while extracting information from it. To handle these challenges, detection of near duplicates is a prime research concern. Existing research mostly uses text clustering, classification and retrieval algorithms for detection of near duplicates. Text summarization, an important tool of text mining, is not explored yet for the detection of near duplicates. Instead of using the whole document, the proposed method uses its summary as it saves both time and storage. Experimental results show that traditional similarity algorithms were able to capture similarity relatedness to a great extent even on the summarized text with a similarity score of 44.685%. Moreover, degree of similarity capture was greater (0.52%) in case of use of embedding models with better text representation as compared to traditional methods. Also, this paper highlights the research status of various similarity measures in terms of concept involved, merits and demerits.
{"title":"A novel approach to capture the similarity in summarized text using embedded model","authors":"Asha Rani Mishra, V. K. Panchal","doi":"10.21307/ijssis-2022-0002","DOIUrl":"https://doi.org/10.21307/ijssis-2022-0002","url":null,"abstract":"Abstract The presence of near duplicate textual content imposes great challenges while extracting information from it. To handle these challenges, detection of near duplicates is a prime research concern. Existing research mostly uses text clustering, classification and retrieval algorithms for detection of near duplicates. Text summarization, an important tool of text mining, is not explored yet for the detection of near duplicates. Instead of using the whole document, the proposed method uses its summary as it saves both time and storage. Experimental results show that traditional similarity algorithms were able to capture similarity relatedness to a great extent even on the summarized text with a similarity score of 44.685%. Moreover, degree of similarity capture was greater (0.52%) in case of use of embedding models with better text representation as compared to traditional methods. Also, this paper highlights the research status of various similarity measures in terms of concept involved, merits and demerits.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"15 1","pages":"1 - 20"},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43062109","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 : 2022-01-01DOI: 10.2478/ijssis-2022-0012
M. Zorkany, Emad Abd-Elrahman, G. Fahmy
Abstract Recently, most outdoor localizations use a hybrid mechanism that integrating some IoT devices occupying with GPS (Anchor Nodes) and other wireless sensor nodes like LoRaWAN (without GPS-Unknown node). This hybrid method employed to achieve low power consumption and low cost solution. Our proposed framework focuses on determining the Mobile Anchor node locations with high accuracy to enhance the overall accuracy of all IoT nodes. To achieve this goal, the installation of low power consummations and low-cost localization sensors modules will be used in the proposed Anchor IoT node. These modules are the inertial measuring unit (IMU) and the low cost Global Positioning System (GPS). Then, this method will be implemented on AVR microcontroller (ATMega 128) to develop an IoT enhanced localization unit. The achieved results for our proposal show how the IoT device's state can be known accurately and at a high update rate (100 Hz, 10 milliseconds).
{"title":"Real time IoT mobile anchor nodes outdoor localization mechanism","authors":"M. Zorkany, Emad Abd-Elrahman, G. Fahmy","doi":"10.2478/ijssis-2022-0012","DOIUrl":"https://doi.org/10.2478/ijssis-2022-0012","url":null,"abstract":"Abstract Recently, most outdoor localizations use a hybrid mechanism that integrating some IoT devices occupying with GPS (Anchor Nodes) and other wireless sensor nodes like LoRaWAN (without GPS-Unknown node). This hybrid method employed to achieve low power consumption and low cost solution. Our proposed framework focuses on determining the Mobile Anchor node locations with high accuracy to enhance the overall accuracy of all IoT nodes. To achieve this goal, the installation of low power consummations and low-cost localization sensors modules will be used in the proposed Anchor IoT node. These modules are the inertial measuring unit (IMU) and the low cost Global Positioning System (GPS). Then, this method will be implemented on AVR microcontroller (ATMega 128) to develop an IoT enhanced localization unit. The achieved results for our proposal show how the IoT device's state can be known accurately and at a high update rate (100 Hz, 10 milliseconds).","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42631268","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 : 2022-01-01DOI: 10.21307/ijssis-2022-0004
Ahmed Yasser Gadalla, Yehia Sayed Mohammed, Ahmed I. Galal, Mohamed El-Zorkany
Abstract Vehicle to vehicle (V2V) communications have been widely employed to ameliorate a variety of transportation-related issues in cities, the most significant of which being traffic congestion. The inefficient utilization of resources in vehicle infrastructure is frequently the source of a great deal of traffic congestion. Furthermore, due to its high dynamic nature, incorporating traffic congestion into vehicular traffic decision-making is difficult. In this paper, V2V communications will be implemented as an intelligent transportation systems (ITS) safety mechanism solution to solve these traffic congestion problems. The proposed mechanism is applied over integration between AODV (Ad hoc On-Demand Distance Vector) as one of the best topology-based routing protocols with one of geographic-based routing protocols to overcome OADV limitations. As AODV floods the network with control messages to find a path to the target, and the network is going to host a high volume of control packets. So the proposed method will use Global Positioning System (GPS) coordinates to search the region where a path to the target is likely to be found. As this paper describes the efforts to create a hybrid model that combines a typical reactive routing protocol with a geographic one, there will be two steps to identify the proposed ITS network. In first Phase: Choose the most functioning Geographic routing protocol on the V2V simulation environment. In the second Phase: Integrate this suggested Geographic routing protocol with ADOV protocol to implement ITS architectures. The RIVERBED modulator and NS2 simulator will be utilized to choose the best routing protocol. Based on the paper’s key performance indicators simulation results, Distance-Vector-Based Recovery-Strategy (PBR-DV) geographic routing protocol is selected to integrate with AODV routing protocol. Comparing the proposed method with the independent use of AODV, it demonstrated the effectiveness of the proposed method in overcoming all the problems related to resource scarcity and geographical obstacles.
摘要车对车（V2V）通信已被广泛用于改善城市中各种与交通相关的问题，其中最重要的是交通拥堵。车辆基础设施中资源的低效利用往往是造成大量交通拥堵的根源。此外，由于其高度动态性，将交通拥堵纳入车辆交通决策是困难的。在本文中，V2V通信将作为智能交通系统（ITS）的安全机制解决方案来解决这些交通拥堵问题。所提出的机制被应用于作为最佳基于拓扑的路由协议之一的AODV（Ad-hoc On Demand Distance Vector）与基于地理的路由协议之间的集成，以克服OADV的限制。由于AODV在网络中充斥着控制消息，以找到通往目标的路径，因此网络将承载大量的控制数据包。因此，所提出的方法将使用全球定位系统（GPS）坐标来搜索可能找到目标路径的区域。由于本文描述了创建一个混合模型的努力，该模型将典型的反应式路由协议与地理协议相结合，因此将有两个步骤来识别所提出的ITS网络。在第一阶段：在V2V模拟环境中选择功能最强的地理路由协议。在第二阶段：将该建议的地理路由协议与ADOV协议集成，以实现ITS架构。RIVERBED调制器和NS2模拟器将用于选择最佳路由协议。基于本文的关键性能指标仿真结果，选择基于距离矢量的恢复策略（PBR-DV）地理路由协议与AODV路由协议进行集成。通过将所提出的方法与AODV的独立使用进行比较，证明了所提出方法在克服所有与资源稀缺和地理障碍有关的问题方面的有效性。
{"title":"Design and implementation of a safety algorithm on V2V routing protocol","authors":"Ahmed Yasser Gadalla, Yehia Sayed Mohammed, Ahmed I. Galal, Mohamed El-Zorkany","doi":"10.21307/ijssis-2022-0004","DOIUrl":"https://doi.org/10.21307/ijssis-2022-0004","url":null,"abstract":"Abstract Vehicle to vehicle (V2V) communications have been widely employed to ameliorate a variety of transportation-related issues in cities, the most significant of which being traffic congestion. The inefficient utilization of resources in vehicle infrastructure is frequently the source of a great deal of traffic congestion. Furthermore, due to its high dynamic nature, incorporating traffic congestion into vehicular traffic decision-making is difficult. In this paper, V2V communications will be implemented as an intelligent transportation systems (ITS) safety mechanism solution to solve these traffic congestion problems. The proposed mechanism is applied over integration between AODV (Ad hoc On-Demand Distance Vector) as one of the best topology-based routing protocols with one of geographic-based routing protocols to overcome OADV limitations. As AODV floods the network with control messages to find a path to the target, and the network is going to host a high volume of control packets. So the proposed method will use Global Positioning System (GPS) coordinates to search the region where a path to the target is likely to be found. As this paper describes the efforts to create a hybrid model that combines a typical reactive routing protocol with a geographic one, there will be two steps to identify the proposed ITS network. In first Phase: Choose the most functioning Geographic routing protocol on the V2V simulation environment. In the second Phase: Integrate this suggested Geographic routing protocol with ADOV protocol to implement ITS architectures. The RIVERBED modulator and NS2 simulator will be utilized to choose the best routing protocol. Based on the paper’s key performance indicators simulation results, Distance-Vector-Based Recovery-Strategy (PBR-DV) geographic routing protocol is selected to integrate with AODV routing protocol. Comparing the proposed method with the independent use of AODV, it demonstrated the effectiveness of the proposed method in overcoming all the problems related to resource scarcity and geographical obstacles.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":"15 1","pages":"1 - 18"},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43449147","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 : 2022-01-01DOI: 10.21307/ijssis-2022-0003
Aqeela Hamad
Abstract Convolution is considered most significant layer in deep learning because it can extract best features of data through the network but it may result in huge volume of data. This problem can be solved by using pooling. In this paper, A novel pooling method is proposed by using discrete Fourier transform (DFT), this method is used DFT technique to transform the data from spatial domain into frequency domain to preserve the most important information from the details coefficients, where the details information of the image is less significant, therefore it can be discarded to down sample the size of dimensions. Its effect will be great with advantage of reducing the eliminated details information as compared with other standard methods. After applying DFT, the most significant coefficients, which represent most important features are cropped while less important details will be discarded then the data are reconstructed by applying inverse DF, therefore the high quality of features are extracted, which solve the problem of losing significant information during the pooling layer. Different methods are proposed based on the scenario of using DFT. The proposed methods are tested by extracting pooled image then the original images were retrieved using only the pooled images. Then the retrieved images are compared with original images by using different measures such as SNR, correlation and SSIM. Then the proposed layers used for image classification for two different datasets. The results proved that the proposed methods outperformed standard methods, thus it can be used for deep learning application.
{"title":"Fast fourier transform based new pooling layer for deep learning","authors":"Aqeela Hamad","doi":"10.21307/ijssis-2022-0003","DOIUrl":"https://doi.org/10.21307/ijssis-2022-0003","url":null,"abstract":"Abstract Convolution is considered most significant layer in deep learning because it can extract best features of data through the network but it may result in huge volume of data. This problem can be solved by using pooling. In this paper, A novel pooling method is proposed by using discrete Fourier transform (DFT), this method is used DFT technique to transform the data from spatial domain into frequency domain to preserve the most important information from the details coefficients, where the details information of the image is less significant, therefore it can be discarded to down sample the size of dimensions. Its effect will be great with advantage of reducing the eliminated details information as compared with other standard methods. After applying DFT, the most significant coefficients, which represent most important features are cropped while less important details will be discarded then the data are reconstructed by applying inverse DF, therefore the high quality of features are extracted, which solve the problem of losing significant information during the pooling layer. Different methods are proposed based on the scenario of using DFT. The proposed methods are tested by extracting pooled image then the original images were retrieved using only the pooled images. Then the retrieved images are compared with original images by using different measures such as SNR, correlation and SSIM. Then the proposed layers used for image classification for two different datasets. The results proved that the proposed methods outperformed standard methods, thus it can be used for deep learning application.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":"1 - 14"},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49628498","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 : 2022-01-01DOI: 10.2478/ijssis-2022-0001
A. Roosta, Alireza Soltanimehr
Abstract The main purpose of this study is to propose a method to achieve optimal response and performance of the multi rate systems in existence of different sampling rates and to avoid data losses in such systems. In this paper, a new approach based on the multi-rate digital system is proposed. Based on this method, we will be able to maintain optimal performance of these systems without losing data, in addition to establishing connections between subsystems with different sampling rates. By the proposed method, not only the effect of different sampling rates in multi-rate systems is ignored, but also, we can connect subsystems with different rate operations without compromising system performance and data loss which simplified system design and sensor selection by the digital system designers. This means the designer can choose any sensor without concerning about the sampling rate and the operation rate of the system and matching them together. Finally, a guided missile with different sampling rates between the seeker, autopilot, guidance law and the output feedback are simulated and its effective performance in pursuit, hitting and smooth motion toward the target in a motion scenario is shown.
{"title":"A novel optimal approach for control law of multi-rate systems with different rate operations","authors":"A. Roosta, Alireza Soltanimehr","doi":"10.2478/ijssis-2022-0001","DOIUrl":"https://doi.org/10.2478/ijssis-2022-0001","url":null,"abstract":"Abstract The main purpose of this study is to propose a method to achieve optimal response and performance of the multi rate systems in existence of different sampling rates and to avoid data losses in such systems. In this paper, a new approach based on the multi-rate digital system is proposed. Based on this method, we will be able to maintain optimal performance of these systems without losing data, in addition to establishing connections between subsystems with different sampling rates. By the proposed method, not only the effect of different sampling rates in multi-rate systems is ignored, but also, we can connect subsystems with different rate operations without compromising system performance and data loss which simplified system design and sensor selection by the digital system designers. This means the designer can choose any sensor without concerning about the sampling rate and the operation rate of the system and matching them together. Finally, a guided missile with different sampling rates between the seeker, autopilot, guidance law and the output feedback are simulated and its effective performance in pursuit, hitting and smooth motion toward the target in a motion scenario is shown.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48754475","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 : 2022-01-01DOI: 10.2478/ijssis-2022-0007
Anil Kumar Pallikonda, Kavitha Chaduvula, B. Markapudi, C. Jyothi, D. Indira
Abstract This manuscript proposes a cloud data storage security, which has always been an important aspect of Quality of Service (QOS). Here, an effectual and flexible distributed scheme (DS) with Explicit Dynamic Data Support (EDDS) is proposed to ensure the accuracy of user data in the cloud. By using hemimorphic token with distributed verification of erasure-coded data, the proposed scheme achieves the integration of storage correctness insurance and data error localization. The proposed scheme supports secure and efficient dynamic operations on data blocks, such as data update, delete and append. The performance analysis shows that the proposed scheme is highly efficient.
{"title":"Efficient way to ensure the data security in cloud computing","authors":"Anil Kumar Pallikonda, Kavitha Chaduvula, B. Markapudi, C. Jyothi, D. Indira","doi":"10.2478/ijssis-2022-0007","DOIUrl":"https://doi.org/10.2478/ijssis-2022-0007","url":null,"abstract":"Abstract This manuscript proposes a cloud data storage security, which has always been an important aspect of Quality of Service (QOS). Here, an effectual and flexible distributed scheme (DS) with Explicit Dynamic Data Support (EDDS) is proposed to ensure the accuracy of user data in the cloud. By using hemimorphic token with distributed verification of erasure-coded data, the proposed scheme achieves the integration of storage correctness insurance and data error localization. The proposed scheme supports secure and efficient dynamic operations on data blocks, such as data update, delete and append. The performance analysis shows that the proposed scheme is highly efficient.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46179789","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 : 2022-01-01DOI: 10.2478/ijssis-2022-0021
Stella Ansah, Diliang Chen
Abstract Gait analysis has been recognized as an efficient method to help realize human activity recognition; however, there is currently no existing review study focused on wearable activity recognition methods that employ gait analysis in the recognition process. In this study, different wearable-gait-analysis-based (WGA-based) activity recognition methods were summarized and compared from the aspects of wearable sensor types, data segmentation, feature extraction, and classification methods. The limitations of the current research and potential opportunities for future research in this field are also discussed.
{"title":"Wearable-Gait-Analysis-Based Activity Recognition: A Review","authors":"Stella Ansah, Diliang Chen","doi":"10.2478/ijssis-2022-0021","DOIUrl":"https://doi.org/10.2478/ijssis-2022-0021","url":null,"abstract":"Abstract Gait analysis has been recognized as an efficient method to help realize human activity recognition; however, there is currently no existing review study focused on wearable activity recognition methods that employ gait analysis in the recognition process. In this study, different wearable-gait-analysis-based (WGA-based) activity recognition methods were summarized and compared from the aspects of wearable sensor types, data segmentation, feature extraction, and classification methods. The limitations of the current research and potential opportunities for future research in this field are also discussed.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48727027","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 : 2022-01-01DOI: 10.2478/ijssis-2022-0006
Carlos A. Toledo, A. M. Villegas, Luz A. Muñoz
Abstract In this article, a model was proposed based on Smart Agriculture technologies to mitigate the effects of frost, which is one of the phenomena that significantly affects the Cundiboyacense plateau agricultural production. The basis of this model is data from real-time environmental information to generate forecasts and alerts that would be used to activate irrigation or fertilizer systems and help farmers in the decision-making process. Despite encountering some investment, cultural and accessibility barriers if the model is applied, it is intended that the long-term economic and product quality benefits would be higher.
{"title":"Model based on the principles of smart agriculture to mitigate the effects of frost and improve agricultural production in the Cundiboyacense plateau","authors":"Carlos A. Toledo, A. M. Villegas, Luz A. Muñoz","doi":"10.2478/ijssis-2022-0006","DOIUrl":"https://doi.org/10.2478/ijssis-2022-0006","url":null,"abstract":"Abstract In this article, a model was proposed based on Smart Agriculture technologies to mitigate the effects of frost, which is one of the phenomena that significantly affects the Cundiboyacense plateau agricultural production. The basis of this model is data from real-time environmental information to generate forecasts and alerts that would be used to activate irrigation or fertilizer systems and help farmers in the decision-making process. Despite encountering some investment, cultural and accessibility barriers if the model is applied, it is intended that the long-term economic and product quality benefits would be higher.","PeriodicalId":45623,"journal":{"name":"International Journal on Smart Sensing and Intelligent Systems","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49313740","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 : 2022-01-01DOI: 10.2478/ijssis-2022-0004
Ahmed Yasser Gadalla, Yehia Sayed Mohammed, Ahmed I. Galal, Mohamed El-Zorkany
Abstract Vehicle to vehicle (V2V) communications have been widely employed to ameliorate a variety of transportation-related issues in cities, the most significant of which being traffic congestion. The inefficient utilization of resources in vehicle infrastructure is frequently the source of a great deal of traffic congestion. Furthermore, due to its high dynamic nature, incorporating traffic congestion into vehicular traffic decision-making is difficult. In this paper, V2V communications will be implemented as an intelligent transportation systems (ITS) safety mechanism solution to solve these traffic congestion problems. The proposed mechanism is applied over integration between AODV (Ad hoc On-Demand Distance Vector) as one of the best topology-based routing protocols with one of geographic-based routing protocols to overcome OADV limitations. As AODV floods the network with control messages to find a path to the target, and the network is going to host a high volume of control packets. So the proposed method will use Global Positioning System (GPS) coordinates to search the region where a path to the target is likely to be found. As this paper describes the efforts to create a hybrid model that combines a typical reactive routing protocol with a geographic one, there will be two steps to identify the proposed ITS network. In first Phase: Choose the most functioning Geographic routing protocol on the V2V simulation environment. In the second Phase: Integrate this suggested Geographic routing protocol with ADOV protocol to implement ITS architectures. The RIVERBED modulator and NS2 simulator will be utilized to choose the best routing protocol. Based on the paper’s key performance indicators simulation results, Distance-Vector-Based Recovery-Strategy (PBR-DV) geographic routing protocol is selected to integrate with AODV routing protocol. Comparing the proposed method with the independent use of AODV, it demonstrated the effectiveness of the proposed method in overcoming all the problems related to resource scarcity and geographical obstacles.
摘要车对车（V2V）通信已被广泛用于改善城市中各种与交通相关的问题，其中最重要的是交通拥堵。车辆基础设施中资源的低效利用往往是造成大量交通拥堵的根源。此外，由于其高度动态性，将交通拥堵纳入车辆交通决策是困难的。在本文中，V2V通信将作为智能交通系统（ITS）的安全机制解决方案来解决这些交通拥堵问题。所提出的机制被应用于作为最佳基于拓扑的路由协议之一的AODV（Ad-hoc On Demand Distance Vector）与基于地理的路由协议之间的集成，以克服OADV的限制。由于AODV在网络中充斥着控制消息，以找到通往目标的路径，因此网络将承载大量的控制数据包。因此，所提出的方法将使用全球定位系统（GPS）坐标来搜索可能找到目标路径的区域。由于本文描述了创建一个混合模型的努力，该模型将典型的反应式路由协议与地理协议相结合，因此将有两个步骤来识别所提出的ITS网络。在第一阶段：在V2V模拟环境中选择功能最强的地理路由协议。在第二阶段：将该建议的地理路由协议与ADOV协议集成，以实现ITS架构。RIVERBED调制器和NS2模拟器将用于选择最佳路由协议。基于本文的关键性能指标仿真结果，选择基于距离矢量的恢复策略（PBR-DV）地理路由协议与AODV路由协议进行集成。通过将所提出的方法与AODV的独立使用进行比较，证明了所提出方法在克服所有与资源稀缺和地理障碍有关的问题方面的有效性。
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