In order to improve the contrast of the difference image and reduce the interference of the speckle noise in the synthetic aperture radar (SAR) image, this paper proposes a SAR image change detection algorithm based on multi-scale feature extraction. In this paper, a kernel matrix with weights is used to extract features of two original images, and then the logarithmic ratio method is used to obtain the difference images of two images, and the change area of the images are extracted. Then, the different sizes of kernel matrix are used to extract the abstract features of different scales of the difference image. This operation can make the difference image have a higher contrast. Finally, the cumulative weighted average is obtained to obtain the final difference image, which can further suppress the speckle noise in the image.
{"title":"SAR Image Change Detection Based on Multi-scale Feature Extraction","authors":"Xiao-Hong Yuan, Chao Chen, Shan Tian, Jiandan Zhong","doi":"10.7753/IJCATR1004.1002","DOIUrl":"https://doi.org/10.7753/IJCATR1004.1002","url":null,"abstract":"In order to improve the contrast of the difference image and reduce the interference of the speckle noise in the synthetic aperture radar (SAR) image, this paper proposes a SAR image change detection algorithm based on multi-scale feature extraction. In this paper, a kernel matrix with weights is used to extract features of two original images, and then the logarithmic ratio method is used to obtain the difference images of two images, and the change area of the images are extracted. Then, the different sizes of kernel matrix are used to extract the abstract features of different scales of the difference image. This operation can make the difference image have a higher contrast. Finally, the cumulative weighted average is obtained to obtain the final difference image, which can further suppress the speckle noise in the image.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128811400","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}
Z. Alfarhisi, H. Suyono, Fakhriy Hario Partiansyah
The main focus of this paper is to optimize the coverage of each 4G LTE network cell within the service area. There are many algorithms can be implemented to determine the optimal 4G LTE coverage area including the deterministic and heuristic approaches. The deterministic approach could solve accurately the optimization problem but need more resources and time consuming to determine the convergence parameters. Therefore, the heuristic approaches were introduced to improve the deterministic approach drawback. The methods used are the Differential Evolution Algorithm (DEA) and Adaptive Mutation Genetic Algorithm (AMGA), which are categorized as metaheuristic approach. The DEA and AMGA algorithms have been widely used to solve combinatorial problems, including for solving the network optimizations. In the network optimization, coverage is strongly related to 2 objectives, which are reducing the black spot area and decreasing the overlapping coverage areas. Coverage overlap is a condition when some cell sites in an area overlap. It implies in the occurrence of hand off and an inefficient network management. This research aims to obtain an optimal 4G LTE network coverage and reduce the overlapping coverage areas based on effective e-Node B arrangements by using the DEA and AMGA algorithms. The simulations results showed that the DEA algorithm’s coverage effectiveness was 23,4%, and the AMGA Algorithm’s was 16,32%.
{"title":"4G LTE Network Coverage Optimization Using Metaheuristic Approach","authors":"Z. Alfarhisi, H. Suyono, Fakhriy Hario Partiansyah","doi":"10.7753/ijcatr1001.1003","DOIUrl":"https://doi.org/10.7753/ijcatr1001.1003","url":null,"abstract":"The main focus of this paper is to optimize the coverage of each 4G LTE network cell within the service area. There are many algorithms can be implemented to determine the optimal 4G LTE coverage area including the deterministic and heuristic approaches. The deterministic approach could solve accurately the optimization problem but need more resources and time consuming to determine the convergence parameters. Therefore, the heuristic approaches were introduced to improve the deterministic approach drawback. The methods used are the Differential Evolution Algorithm (DEA) and Adaptive Mutation Genetic Algorithm (AMGA), which are categorized as metaheuristic approach. The DEA and AMGA algorithms have been widely used to solve combinatorial problems, including for solving the network optimizations. In the network optimization, coverage is strongly related to 2 objectives, which are reducing the black spot area and decreasing the overlapping coverage areas. Coverage overlap is a condition when some cell sites in an area overlap. It implies in the occurrence of hand off and an inefficient network management. This research aims to obtain an optimal 4G LTE network coverage and reduce the overlapping coverage areas based on effective e-Node B arrangements by using the DEA and AMGA algorithms. The simulations results showed that the DEA algorithm’s coverage effectiveness was 23,4%, and the AMGA Algorithm’s was 16,32%.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115926478","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}
Nowadays, the authenticity of the RFID tags cannot be assured in the supply chain since these can be easily duplicated in the public space. We propose a novel Product Ownership Management System (POMS) of products for anti-counterfeits that can be used in the post supply chain by using the QR code. With the projected POMS, a consumer can reject the buying of counterfeits by scanning a QR code, if the seller does not have their proprietorship. This paper gives an application of the system that will help to overcome the problems related with the presently functioning supply chain management system and runs the mechanism to show the ownership of the products.
{"title":"Product Ownership Management System (POMS) in the Post Supply Chain Using BlockChain","authors":"Hanmant D Magar, Sandip Mane","doi":"10.7753/ijcatr1001.1002","DOIUrl":"https://doi.org/10.7753/ijcatr1001.1002","url":null,"abstract":"Nowadays, the authenticity of the RFID tags cannot be assured in the supply chain since these can be easily duplicated in the public space. We propose a novel Product Ownership Management System (POMS) of products for anti-counterfeits that can be used in the post supply chain by using the QR code. With the projected POMS, a consumer can reject the buying of counterfeits by scanning a QR code, if the seller does not have their proprietorship. This paper gives an application of the system that will help to overcome the problems related with the presently functioning supply chain management system and runs the mechanism to show the ownership of the products.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132988915","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}
The insulation performance of new energy vehicles is an important factor in the normal operation of vehicles. This paper designs a voltage injection-type insulation detection based on the traditional detection.Based on the python language combined with the library provided by NI-visa, it can achieve high integration and meet the national GB/T 18384.1-2015 standard. Experimental results show that the insulation detection system can accurately test the insulation performance of new energy vehicles and meet the new energy vehicle offline detection standards.
{"title":"Research on Online Insulation Testing of Power Battery of New Energy Vehicles","authors":"Yuan Xu, Huazhang Wang, Jiacheng Li","doi":"10.7753/ijcatr1001.1001","DOIUrl":"https://doi.org/10.7753/ijcatr1001.1001","url":null,"abstract":"The insulation performance of new energy vehicles is an important factor in the normal operation of vehicles. This paper designs a voltage injection-type insulation detection based on the traditional detection.Based on the python language combined with the library provided by NI-visa, it can achieve high integration and meet the national GB/T 18384.1-2015 standard. Experimental results show that the insulation detection system can accurately test the insulation performance of new energy vehicles and meet the new energy vehicle offline detection standards.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131155671","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}
Studying the effects of different stimulants on the brain is an ongoing research aiming to discover the activities and reactions of the brain. In this sake, we propose a study to show the impact of external stimuli on the human brain. The implementation includes 50 subjects exposed to four various stimuli while recording EEG. First, a control experiment is done where EEG is recorded in the absence of any stimulation. Then, EEG is recorded while the subjects are watching two consecutive sections from nature and violence videos, listening to sections of classical music and then heavy music. The recorded signals are analysed through EEGLAB. The power spectral densities are computed and an analysed. The results showed a decrease in alpha absolute power was observed in 68.1% subjects when watching the nature movie, and in 72.34% subjects when watching the violence video. An increase in alpha and beta absolute power was detected in 70.45% of subjects when listening to the heavy music. Relative power spectral density showed a significant increase of delta rhythm upon watching the video of natural scenes, and a significant increase of alpha rhythm when listening to classical music. ANOVA test is also used to verify if any effect of the stimuli can be observed on each frequency bands. The results showed that the delta rhythm’s highest values were obtained in reaction to the natural scenes video and that there is a significant relationship between alpha rhythms and the stimulus due to Classical music.
{"title":"Analyzing Brain Activities in Response To Music and Video Stimulants","authors":"Mohamed Fakhredine, Zahra Jaish, Houssein Ibrahim","doi":"10.7753/ijcatr1001.1004","DOIUrl":"https://doi.org/10.7753/ijcatr1001.1004","url":null,"abstract":"Studying the effects of different stimulants on the brain is an ongoing research aiming to discover the activities and reactions of the brain. In this sake, we propose a study to show the impact of external stimuli on the human brain. The implementation includes 50 subjects exposed to four various stimuli while recording EEG. First, a control experiment is done where EEG is recorded in the absence of any stimulation. Then, EEG is recorded while the subjects are watching two consecutive sections from nature and violence videos, listening to sections of classical music and then heavy music. The recorded signals are analysed through EEGLAB. The power spectral densities are computed and an analysed. The results showed a decrease in alpha absolute power was observed in 68.1% subjects when watching the nature movie, and in 72.34% subjects when watching the violence video. An increase in alpha and beta absolute power was detected in 70.45% of subjects when listening to the heavy music. Relative power spectral density showed a significant increase of delta rhythm upon watching the video of natural scenes, and a significant increase of alpha rhythm when listening to classical music. ANOVA test is also used to verify if any effect of the stimuli can be observed on each frequency bands. The results showed that the delta rhythm’s highest values were obtained in reaction to the natural scenes video and that there is a significant relationship between alpha rhythms and the stimulus due to Classical music.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127960757","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}
I Gusti Bagus JB Surya Bhuana, I. N. Piarsa, I. Sukarsa
: Over time, the development of information technology has produced a variety of applications that provide convenience for humans, such as the application of food delivery. This application was designed from a background of productive individual conditions who have less time to buy food. Gofood is one of the features in the Gojek application that realizes the concept of food delivery. However, this feature does not give consumers the freedom to determine the food arrival time. Consumers did self estimation about the time when placing an order to obtain the arrival time as desired. Based on these weaknesses, Pasti Makan application was designed. This application provides scheduling features so that food ordering can be done at various times and the order will still arrive in accordance with the time specified by the consumer. This research focuses on solving the problem of the arrival time in order delivery. The purpose of this study is that buyers get their orders within the allotted time. This system made by using the PHP programming language and Javascript.
{"title":"Food Ordering Application with Scheduling Feature Based on Mobile Web (Pasti Makan)","authors":"I Gusti Bagus JB Surya Bhuana, I. N. Piarsa, I. Sukarsa","doi":"10.7753/ijcatr0908.1002","DOIUrl":"https://doi.org/10.7753/ijcatr0908.1002","url":null,"abstract":": Over time, the development of information technology has produced a variety of applications that provide convenience for humans, such as the application of food delivery. This application was designed from a background of productive individual conditions who have less time to buy food. Gofood is one of the features in the Gojek application that realizes the concept of food delivery. However, this feature does not give consumers the freedom to determine the food arrival time. Consumers did self estimation about the time when placing an order to obtain the arrival time as desired. Based on these weaknesses, Pasti Makan application was designed. This application provides scheduling features so that food ordering can be done at various times and the order will still arrive in accordance with the time specified by the consumer. This research focuses on solving the problem of the arrival time in order delivery. The purpose of this study is that buyers get their orders within the allotted time. This system made by using the PHP programming language and Javascript.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130998608","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}
: In order to solve the problem of several common methods in medical ultrasound image processing which includes Poor retention of detailed information and insignificant denoising effect, therefore a new method of ultrasonic image denoising combining two-dimensional variational mode decomposition (abbreviated as 2D-VDM) and anisotropic diffusion (abbreviated as PM) is proposed. This method firstly decomposes the image into a series of modal component (IMF) images through two-dimensional variational mode decomposition (2D-VDM),and then uses the peak signal-to-noise ratio and the normalized mean square error to filter out the effective modal components, finally, the effective modal components are subjected to anisotropic diffusion (PM) filter processing and reconstruct the processed effective components to remove image noise.The evaluation of image quality indicators from peak signal-to-noise ratio and root mean square error shows that this method is superior to other commonly used methods in removing noise and protecting detailed information in the image.
{"title":"Denoising Algorithm for Medical Ultrasound Image Based on 2D-VDM and PM","authors":"M.X.H. Yan, Chen Wen","doi":"10.7753/ijcatr0906.1001","DOIUrl":"https://doi.org/10.7753/ijcatr0906.1001","url":null,"abstract":": In order to solve the problem of several common methods in medical ultrasound image processing which includes Poor retention of detailed information and insignificant denoising effect, therefore a new method of ultrasonic image denoising combining two-dimensional variational mode decomposition (abbreviated as 2D-VDM) and anisotropic diffusion (abbreviated as PM) is proposed. This method firstly decomposes the image into a series of modal component (IMF) images through two-dimensional variational mode decomposition (2D-VDM),and then uses the peak signal-to-noise ratio and the normalized mean square error to filter out the effective modal components, finally, the effective modal components are subjected to anisotropic diffusion (PM) filter processing and reconstruct the processed effective components to remove image noise.The evaluation of image quality indicators from peak signal-to-noise ratio and root mean square error shows that this method is superior to other commonly used methods in removing noise and protecting detailed information in the image.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126365772","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}
Hanumant Magar, Sanket Patil, Sahil R Waykole, Satyam D Sandikar, Nikhil D Parakh
: This study proposes a Convolutional neural network model trained from scratch to classify and detect the presence of pneumonia from a collection of chest X-ray image samples. Unlike other methods that rely solely on transfer learning approaches or traditional handcrafted techniques to achieve a remarkable classification performance, we constructed a Convolutional neural network model from scratch to extract features from a given chest X- ray image and classify it to determine if a person is infected with pneumonia. This model could help mitigate the reliability and interpretability challenges often faced when dealing with medical imagery. Unlike other deep learning classification tasks with sufficient image repository, it is difficult to obtain a large amount of pneumonia dataset for this classification task; therefore, we deployed several data augmentation algorithms to improve the validation and classification accuracy of the CNN model and achieved remarkable validation accuracy. Our classification method uses convolutional neural networks for classifying the images and early diagnosis of Pneumonia. Our findings yield an accuracy of 85.73%, surpassing the previously top scoring accuracy of 78.73%.
{"title":"Pneumonia Detection using X-Ray Images with Deep Learning","authors":"Hanumant Magar, Sanket Patil, Sahil R Waykole, Satyam D Sandikar, Nikhil D Parakh","doi":"10.7753/ijcatr0905.1004","DOIUrl":"https://doi.org/10.7753/ijcatr0905.1004","url":null,"abstract":": This study proposes a Convolutional neural network model trained from scratch to classify and detect the presence of pneumonia from a collection of chest X-ray image samples. Unlike other methods that rely solely on transfer learning approaches or traditional handcrafted techniques to achieve a remarkable classification performance, we constructed a Convolutional neural network model from scratch to extract features from a given chest X- ray image and classify it to determine if a person is infected with pneumonia. This model could help mitigate the reliability and interpretability challenges often faced when dealing with medical imagery. Unlike other deep learning classification tasks with sufficient image repository, it is difficult to obtain a large amount of pneumonia dataset for this classification task; therefore, we deployed several data augmentation algorithms to improve the validation and classification accuracy of the CNN model and achieved remarkable validation accuracy. Our classification method uses convolutional neural networks for classifying the images and early diagnosis of Pneumonia. Our findings yield an accuracy of 85.73%, surpassing the previously top scoring accuracy of 78.73%.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116339598","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}
: The main objective of this work was to identify and map studies relevant to internet freedoms in Africa and analyze them to identify patterns and trends distribution in order to nurture public debate and for due consideration by researchers and policy makers within the region. The need to focus on internet freedoms in Africa is because of limited research contextualizing internet freedoms in this region and challenges with public availability and accessibility of the research evidence. The goal is to enhance learning on the research evidence available that could be relevant in advancing internet policies in Africa. The search for studies on internet freedoms was based on identified themes and indicators of internet freedoms. The study methodology was online desk research with full focus on empirical studies between 2013-2019.
{"title":"Assessment of Evidence Based Research on Internet Freedoms in Africa","authors":"Duncan Nyale","doi":"10.7753/ijcatr0905.1003","DOIUrl":"https://doi.org/10.7753/ijcatr0905.1003","url":null,"abstract":": The main objective of this work was to identify and map studies relevant to internet freedoms in Africa and analyze them to identify patterns and trends distribution in order to nurture public debate and for due consideration by researchers and policy makers within the region. The need to focus on internet freedoms in Africa is because of limited research contextualizing internet freedoms in this region and challenges with public availability and accessibility of the research evidence. The goal is to enhance learning on the research evidence available that could be relevant in advancing internet policies in Africa. The search for studies on internet freedoms was based on identified themes and indicators of internet freedoms. The study methodology was online desk research with full focus on empirical studies between 2013-2019.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131371978","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}
In December 2019, an outbreak of severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) infection occurred in Wuhan, Hubei Province, China and spread across China and beyond. On February 12, 2020, WHO officially named the disease caused by the novel coronavirus as Coronavirus Disease 2019 (COVID-19). On January 30, 2020, WHO declared COVID-19 as the sixth public health emergency of international concern. One of the major preventions is frequent hand washing. An attempt has been made to design a low-cost automatic water tap as a measure to fight the spread of Coronavirus (Covid-19). The designed system uses simple, easy to get and low cost instruments. The system does not require a user to touch the water tap. It uses microcontroller to implement intelligence. The solar panel is used as a source of power. The system design uses green solution based automatic water tap. The system will be used in gatherings to avoid Coronavirus spreading. Such gathering places include hospitals, markets, bus stops, public transports, churches, mosques, and restaurants.
{"title":"War against Coronavirus (COVID – 19) in Tanzania: Designing a Low Cost Automatic Water Tap","authors":"H. Wanga, Thobius Joseph, Mauna Belius Chuma","doi":"10.7753/ijcatr0904.1005","DOIUrl":"https://doi.org/10.7753/ijcatr0904.1005","url":null,"abstract":"In December 2019, an outbreak of severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) infection occurred in Wuhan, Hubei Province, China and spread across China and beyond. On February 12, 2020, WHO officially named the disease caused by the novel coronavirus as Coronavirus Disease 2019 (COVID-19). On January 30, 2020, WHO declared COVID-19 as the sixth public health emergency of international concern. One of the major preventions is frequent hand washing. An attempt has been made to design a low-cost automatic water tap as a measure to fight the spread of Coronavirus (Covid-19). The designed system uses simple, easy to get and low cost instruments. The system does not require a user to touch the water tap. It uses microcontroller to implement intelligence. The solar panel is used as a source of power. The system design uses green solution based automatic water tap. The system will be used in gatherings to avoid Coronavirus spreading. Such gathering places include hospitals, markets, bus stops, public transports, churches, mosques, and restaurants.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"23 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124503361","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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