Pub Date : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623069
M. Cherrington, David Airehrour, Samaneh Madanian, Joan Lu, Qiang Xu, Polina Artiushkina
Organisations that have survived Covid-19 jolts, uncertainties and lockdowns now require business intelligence and information system integration for decision support. Risks and market challenges have shifted as the pandemic progresses. Crisis management repositioning has left many firms cash-poor. Now, firms are facing labour shortages. Standard remuneration policies and practices need revision to keep core talent, stabilise teams from burn-out and to move forward strategically. This paper revises essential remuneration review considerations for crisis management in a new Covid-19 context. Current trends are discussed, as restrictions and pandemic uncertainties lift, allowing greater accuracy in risk scenario planning. Reliable data, fit for analytics and complex modelling, are making results more meaningful. The unique contribution of this research is the Covid-19 post-survival organisational perspective that can transform remuneration modelling. The scope extends beyond the governance level, and considers semantics and dynamic risk planning. Specific scenarios are updated from lessons learned from financial crisis management. Conclusions take a holistic view of how data can enhance remuneration practices to add value for organisations in the current Covid-19 climate. The paper advocates post crisis remuneration review that includes complex modelling with dynamic risk analysis for strategic planning in mid-term scenarios.
{"title":"Remuneration Review: Risk, Planning, and Modelling beyond the Covid Crisis","authors":"M. Cherrington, David Airehrour, Samaneh Madanian, Joan Lu, Qiang Xu, Polina Artiushkina","doi":"10.1109/iemcon53756.2021.9623069","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623069","url":null,"abstract":"Organisations that have survived Covid-19 jolts, uncertainties and lockdowns now require business intelligence and information system integration for decision support. Risks and market challenges have shifted as the pandemic progresses. Crisis management repositioning has left many firms cash-poor. Now, firms are facing labour shortages. Standard remuneration policies and practices need revision to keep core talent, stabilise teams from burn-out and to move forward strategically. This paper revises essential remuneration review considerations for crisis management in a new Covid-19 context. Current trends are discussed, as restrictions and pandemic uncertainties lift, allowing greater accuracy in risk scenario planning. Reliable data, fit for analytics and complex modelling, are making results more meaningful. The unique contribution of this research is the Covid-19 post-survival organisational perspective that can transform remuneration modelling. The scope extends beyond the governance level, and considers semantics and dynamic risk planning. Specific scenarios are updated from lessons learned from financial crisis management. Conclusions take a holistic view of how data can enhance remuneration practices to add value for organisations in the current Covid-19 climate. The paper advocates post crisis remuneration review that includes complex modelling with dynamic risk analysis for strategic planning in mid-term scenarios.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127030572","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623146
T. Pham
This paper presents a novel concept of artificial bias to incorporate partial automation to dynamically assist pilots to avoid incoming heat seeking missiles while maneuvering their jet fighters in a mission. In this endeavor, the pilot will have complete control of the aircraft, and the evasive maneuvering procedure will push the aircraft away from the current path of the aircraft only when there is imminent collision. The artificial bias algorithm is presented, and computer simulations for missile avoidance are presented in various situations. The theoretical limitation of this algorithm is also presented in terms of the maneuverability of the aircraft vs that of a missile, and the number of missiles an aircraft is facing.
{"title":"Using Artificial Bias to Assist Evasive Maneuvering of Fighter Aircrafts in Combat Situations","authors":"T. Pham","doi":"10.1109/iemcon53756.2021.9623146","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623146","url":null,"abstract":"This paper presents a novel concept of artificial bias to incorporate partial automation to dynamically assist pilots to avoid incoming heat seeking missiles while maneuvering their jet fighters in a mission. In this endeavor, the pilot will have complete control of the aircraft, and the evasive maneuvering procedure will push the aircraft away from the current path of the aircraft only when there is imminent collision. The artificial bias algorithm is presented, and computer simulations for missile avoidance are presented in various situations. The theoretical limitation of this algorithm is also presented in terms of the maneuverability of the aircraft vs that of a missile, and the number of missiles an aircraft is facing.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127283748","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623156
Naheem Olakunle Adesina, Md Azmot Ullah Khan, Jian Xu
In recent time, memristor is gaining widespread attention owing to its potential applications in analog and digital circuits, computer architectures, nano-dimension memories, logic, neuromorphic, and oscillator circuits. However, there is no single component or device available in the market that exhibit memristive behavior. Memristor emulator circuit is introduced to mimic the behavior of a real memristor and emulate its properties. In this work, we propose a transistor-based memristor emulator circuit, which is designed in TSMC 0.18 µm n-well CMOS process technology with a supply voltage of 1.8 V. The results show that the proposed emulator circuit can be switched with a low input voltage of 180 mV and its current-voltage characteristics produces pinched hysteresis loops in the range 15 MHz to 100 MHz, which makes the emulator suitable for high frequency applications. In addition, its layout occupies chip area of 54 µm X 51 µm.
{"title":"CMOS Transistor-Based Memristor Emulator Circuit Design for High Frequency Applications","authors":"Naheem Olakunle Adesina, Md Azmot Ullah Khan, Jian Xu","doi":"10.1109/iemcon53756.2021.9623156","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623156","url":null,"abstract":"In recent time, memristor is gaining widespread attention owing to its potential applications in analog and digital circuits, computer architectures, nano-dimension memories, logic, neuromorphic, and oscillator circuits. However, there is no single component or device available in the market that exhibit memristive behavior. Memristor emulator circuit is introduced to mimic the behavior of a real memristor and emulate its properties. In this work, we propose a transistor-based memristor emulator circuit, which is designed in TSMC 0.18 µm n-well CMOS process technology with a supply voltage of 1.8 V. The results show that the proposed emulator circuit can be switched with a low input voltage of 180 mV and its current-voltage characteristics produces pinched hysteresis loops in the range 15 MHz to 100 MHz, which makes the emulator suitable for high frequency applications. In addition, its layout occupies chip area of 54 µm X 51 µm.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127811224","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623155
K. M. Hasib, Nurul Akter Towhid, Md. Golam Rabiul Alam
Air travel is one of the most used ways of transit in our daily lives. So it's no wonder that more and more people are sharing their experience with airlines and airports using web-based online surveys. This study aims to do topic modeling and sentiment analysis on Skytrax (airlinequality.com) and Tripadvisor (tripadvisor.com) postings where there is a lot of interest and engagement from people who have used it or want to use it for airlines. The goal of individuals gathering at Skytrax and Tripadvisor is to make better decisions based on the actual experiences of other customers who have flown with airlines. We gathered online reviews submitted by consumers who have flown with Bangladesh airlines in the past. The data was collected from internet reviews from 4 Bangladesh airlines, totaling 1095 reviews. With the obtained data, topic modeling and sentiment analysis were utilized to determine key phrases in the online reviews. Through frequency analysis, the topic modeling revealed that ‘airline,’ ‘service,’ ‘crew,’ and ‘food’ were essential concerns in the trip. Furthermore, the results indicated that the primary issue, which may impact customer discontent, was delay, but ‘food’ can make customers satisfied through sentiment analysis, as the result indicates the ‘Food and beverage’ topic with no. of highest word count ‘good’, ‘biman’ and ‘service’ keyword in the topic modeling.
{"title":"Topic Modeling and Sentiment Analysis using Online Reviews for Bangladesh Airlines","authors":"K. M. Hasib, Nurul Akter Towhid, Md. Golam Rabiul Alam","doi":"10.1109/iemcon53756.2021.9623155","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623155","url":null,"abstract":"Air travel is one of the most used ways of transit in our daily lives. So it's no wonder that more and more people are sharing their experience with airlines and airports using web-based online surveys. This study aims to do topic modeling and sentiment analysis on Skytrax (airlinequality.com) and Tripadvisor (tripadvisor.com) postings where there is a lot of interest and engagement from people who have used it or want to use it for airlines. The goal of individuals gathering at Skytrax and Tripadvisor is to make better decisions based on the actual experiences of other customers who have flown with airlines. We gathered online reviews submitted by consumers who have flown with Bangladesh airlines in the past. The data was collected from internet reviews from 4 Bangladesh airlines, totaling 1095 reviews. With the obtained data, topic modeling and sentiment analysis were utilized to determine key phrases in the online reviews. Through frequency analysis, the topic modeling revealed that ‘airline,’ ‘service,’ ‘crew,’ and ‘food’ were essential concerns in the trip. Furthermore, the results indicated that the primary issue, which may impact customer discontent, was delay, but ‘food’ can make customers satisfied through sentiment analysis, as the result indicates the ‘Food and beverage’ topic with no. of highest word count ‘good’, ‘biman’ and ‘service’ keyword in the topic modeling.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127814285","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623231
Fu-Shiung Hsieh
The lack of trust is one of the barriers that hinders the acceptance of ridesharing. In the past years, one of the hot research issue in the context of ridesharing is to enhance trust. Such trust based ridesharing problem can be described as an optimization problem in which a large number of constraints must be satisfied. Due to complexity of this optimization problem, exact methods are limited and cannot be applied. Therefore, approximate methods are usually applied to find the solutions. This problem can be solved by evolutionary algorithms. The purpose of this study is to develop an algorithm for trust based ridesharing problems by applying neighborhood search in Differential Evolution approach. We compare the proposed algorithm with other competitive algorithms. The numerical results indicate that applying neighborhood search in Differential Evolution approach leads to a more efficient solution algorithm.
{"title":"Neighborhood Search in Differential Evolution for Solving Trusted Ridesharing Problems","authors":"Fu-Shiung Hsieh","doi":"10.1109/iemcon53756.2021.9623231","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623231","url":null,"abstract":"The lack of trust is one of the barriers that hinders the acceptance of ridesharing. In the past years, one of the hot research issue in the context of ridesharing is to enhance trust. Such trust based ridesharing problem can be described as an optimization problem in which a large number of constraints must be satisfied. Due to complexity of this optimization problem, exact methods are limited and cannot be applied. Therefore, approximate methods are usually applied to find the solutions. This problem can be solved by evolutionary algorithms. The purpose of this study is to develop an algorithm for trust based ridesharing problems by applying neighborhood search in Differential Evolution approach. We compare the proposed algorithm with other competitive algorithms. The numerical results indicate that applying neighborhood search in Differential Evolution approach leads to a more efficient solution algorithm.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114476839","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623166
Naheem Olakunle Adesina, Md Azmot Ullah Khan, Jian Xu
In this paper, two different structures of phase locked loop (PLL) are examined and designed in 0.13 µm n-well CMOS process technology. The two PLLs only differ in voltage-controlled oscillator (VCO): current starved and LC VCOs. Using device degradation models and equations, their performances are investigated under the combined effects of soft breakdown, hot carrier injections, and negative bias temperature instability. It is observed in the current starved VCO that the gain reduces by 33.5%, the maximum frequency decreases from 1180 MHz to 1100 MHz, and the phase noise increases from −107.6 dBc/Hz to −103.5 dBc/Hz at 1 MHz offset frequency after 6 hours of stress. The varactor degradation in LC voltage-controlled oscillator causes a decrease in the mean capacitance, resulting in increased oscillation frequency. In addition, the phase noise increases from −120 dBc/Hz to −117.2 dBc/Hz at 1 MHz frequency.
{"title":"Modeling the Effects of SBD, HCI, and NBTI in CMOS Voltage Controlled Oscillator Design for PLL Applications","authors":"Naheem Olakunle Adesina, Md Azmot Ullah Khan, Jian Xu","doi":"10.1109/iemcon53756.2021.9623166","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623166","url":null,"abstract":"In this paper, two different structures of phase locked loop (PLL) are examined and designed in 0.13 µm n-well CMOS process technology. The two PLLs only differ in voltage-controlled oscillator (VCO): current starved and LC VCOs. Using device degradation models and equations, their performances are investigated under the combined effects of soft breakdown, hot carrier injections, and negative bias temperature instability. It is observed in the current starved VCO that the gain reduces by 33.5%, the maximum frequency decreases from 1180 MHz to 1100 MHz, and the phase noise increases from −107.6 dBc/Hz to −103.5 dBc/Hz at 1 MHz offset frequency after 6 hours of stress. The varactor degradation in LC voltage-controlled oscillator causes a decrease in the mean capacitance, resulting in increased oscillation frequency. In addition, the phase noise increases from −120 dBc/Hz to −117.2 dBc/Hz at 1 MHz frequency.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114650076","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623214
Andrew J. Park, Ryan Ficocelli, Lee D. Patterson, Valerie Spicer, Frank Dodich, Herbert H. Tsang
A crowd is a large number of people who gather at a specific location at the same time with or without shared agendas and/or emotions. A crowd is formed at sporting, holiday, religious, or political events. Proper management of a crowd is one of the major duties for the civic agencies such as police and fire departments to maintain public order and safety. When such management is ill-prepared and poorly executed, it can result in chaotic situations with human injuries and fatalities as well as damage to public properties. Good crowd management requires a good modelling of crowd dynamics and devising strategies accordingly. This paper presents the modelling and simulations of crowd dynamics that resembles the actual crowd behaviours using the social force model. With the realistic crowd dynamics, different scenarios and crowd management strategies were tested for optimal crowd flows. Our framework can be used to test various scenarios of an event that attracts a large crowd and devise suitable strategies for the crowd management.
{"title":"Modelling Crowd Dynamics and Crowd Management Strategies","authors":"Andrew J. Park, Ryan Ficocelli, Lee D. Patterson, Valerie Spicer, Frank Dodich, Herbert H. Tsang","doi":"10.1109/iemcon53756.2021.9623214","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623214","url":null,"abstract":"A crowd is a large number of people who gather at a specific location at the same time with or without shared agendas and/or emotions. A crowd is formed at sporting, holiday, religious, or political events. Proper management of a crowd is one of the major duties for the civic agencies such as police and fire departments to maintain public order and safety. When such management is ill-prepared and poorly executed, it can result in chaotic situations with human injuries and fatalities as well as damage to public properties. Good crowd management requires a good modelling of crowd dynamics and devising strategies accordingly. This paper presents the modelling and simulations of crowd dynamics that resembles the actual crowd behaviours using the social force model. With the realistic crowd dynamics, different scenarios and crowd management strategies were tested for optimal crowd flows. Our framework can be used to test various scenarios of an event that attracts a large crowd and devise suitable strategies for the crowd management.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125123917","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623073
Connor McGee, Jing Guo, Zhaohong Wang
Understanding the behavior of a virus spreading inside a computer network is crucial. In recent years, devices have become increasingly interconnected via communication protocols. Since computer networks are more ubiquitous than ever before, one infected device threatens several others. In order to better defend against network infections, the current methods need more novel means to combat network infections. Spectral graph theory may assist the study of network forensics by better understanding how a virus spreads throughout a networked system. This paper analyzes the spread of a virus throughout a computer network using actual data. The novelty is the calculation of various Laplacian matrices to observe the changes to the network, modeled as a graph resulting from the virus spread. Our discoveries may provide implications to gain early awareness and insights into the infectious situation.
{"title":"The Application of the Graph Laplacian in Network Forensics","authors":"Connor McGee, Jing Guo, Zhaohong Wang","doi":"10.1109/iemcon53756.2021.9623073","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623073","url":null,"abstract":"Understanding the behavior of a virus spreading inside a computer network is crucial. In recent years, devices have become increasingly interconnected via communication protocols. Since computer networks are more ubiquitous than ever before, one infected device threatens several others. In order to better defend against network infections, the current methods need more novel means to combat network infections. Spectral graph theory may assist the study of network forensics by better understanding how a virus spreads throughout a networked system. This paper analyzes the spread of a virus throughout a computer network using actual data. The novelty is the calculation of various Laplacian matrices to observe the changes to the network, modeled as a graph resulting from the virus spread. Our discoveries may provide implications to gain early awareness and insights into the infectious situation.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121714885","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 : 2021-10-27DOI: 10.1109/iemcon53756.2021.9623078
Samira Zad, Maryam Heidari, P. Hajibabaee, Masoud Malekzadeh
Semantics is a research field that has gained an extensive interest recently. This survey describes recent works in the field of semantics, a part of the broader area of computational linguistics. One of the important aspects of computational linguistics is using proper methods to distribute semantics for obtaining representations of the meaning of words. This survey summarizes the latest state of the art approaches in semantics that use deep learning methods, datasets, and lexical databases, specifying semantics under two categories such as semantic similarity and sentence modeling.
{"title":"A Survey of Deep Learning Methods on Semantic Similarity and Sentence Modeling","authors":"Samira Zad, Maryam Heidari, P. Hajibabaee, Masoud Malekzadeh","doi":"10.1109/iemcon53756.2021.9623078","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623078","url":null,"abstract":"Semantics is a research field that has gained an extensive interest recently. This survey describes recent works in the field of semantics, a part of the broader area of computational linguistics. One of the important aspects of computational linguistics is using proper methods to distribute semantics for obtaining representations of the meaning of words. This survey summarizes the latest state of the art approaches in semantics that use deep learning methods, datasets, and lexical databases, specifying semantics under two categories such as semantic similarity and sentence modeling.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123593674","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}
A pothole is one among the first reasons for road accidents and is becoming increasingly important to detect while driving on roads. Detection and warning can significantly reduce accidents and damages caused to vehicles. Advanced neural networks process the pictures from the camera on a realtime basis to spot if there is a pothole within the image. Detection of potholes using neural networks will be time-consuming. Recently, the advances in artificial neural network have led to varied high-performance single-shot detection algorithms. These algorithms are especially useful in real-time applications. Hence, in this paper, we present a study of various object detection algorithms towards pothole detection with its speed and accuracy. The dataset comprises around 9000 training images with and without potholes. The article analyzes Yolo V3, Yolo V4, Yolo V5, and SSD algorithms to judge the results with the identical dataset for training and evaluation.
{"title":"Pothole Detection Using Advanced Neural Networks","authors":"Narayana Darapaneni, Naresh Suresh Reddy, Anitha Urkude, A. Paduri, Arati Alok Satpute, Aakash Yogi, Dilip Krishna Natesan, Sarang Surve, Utkarsh Srivastava","doi":"10.1109/iemcon53756.2021.9623237","DOIUrl":"https://doi.org/10.1109/iemcon53756.2021.9623237","url":null,"abstract":"A pothole is one among the first reasons for road accidents and is becoming increasingly important to detect while driving on roads. Detection and warning can significantly reduce accidents and damages caused to vehicles. Advanced neural networks process the pictures from the camera on a realtime basis to spot if there is a pothole within the image. Detection of potholes using neural networks will be time-consuming. Recently, the advances in artificial neural network have led to varied high-performance single-shot detection algorithms. These algorithms are especially useful in real-time applications. Hence, in this paper, we present a study of various object detection algorithms towards pothole detection with its speed and accuracy. The dataset comprises around 9000 training images with and without potholes. The article analyzes Yolo V3, Yolo V4, Yolo V5, and SSD algorithms to judge the results with the identical dataset for training and evaluation.","PeriodicalId":272590,"journal":{"name":"2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125309089","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：