Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200072
Utpal Shrivastava, Neelam Sharma
Monitoring of the data traffic is done by Intrusion detection system (IDS) in the network and identify possibility of attacks with can cause harm in the network. The growing digital age where so many host are connected to network and digital transaction take place, it becomes important to secure one’s data in the network. In the proposed work, NSL-KDD train dataset in ration 8:2 is used to train and test a model. To identify the impact of different set of dataset features considered by comparing the accuracy calculated.
{"title":"Feature Selection and Implementation of IDS using Boosting algorithm","authors":"Utpal Shrivastava, Neelam Sharma","doi":"10.1109/ComPE49325.2020.9200072","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200072","url":null,"abstract":"Monitoring of the data traffic is done by Intrusion detection system (IDS) in the network and identify possibility of attacks with can cause harm in the network. The growing digital age where so many host are connected to network and digital transaction take place, it becomes important to secure one’s data in the network. In the proposed work, NSL-KDD train dataset in ration 8:2 is used to train and test a model. To identify the impact of different set of dataset features considered by comparing the accuracy calculated.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"25 1","pages":"853-858"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89004009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200041
Sunita Saha, A. Papanikolaou, J. Martusewicz, R. Sitnik
Augmented reality is a field of presenting and visualizing the real-world problem enhanced by computer-generated algorithms. The computer-generated perceptual information becomes a premier research topic to solve various 3D problems. In this present age, it is very important to digitize the process of work and store it to keep track of the changes over time. This work is focused on storing digital documentation of the restoration of cultural heritage objects concerning the parameter of occurrences of surface geometry change on the surface of the objects. The paper shows the application of structured light techniques to the analysis of a cultural heritage object during restoration. In order to detect and visualize changes a global geometry analysis was applied and presented the outcome through a global distance histogram. The study also includes the discussion of facing possible challenges during the development of the algorithms for the change analysis.
{"title":"Augmented Reality in Tracking the Surface Geometry Change of Cultural Heritage Objects","authors":"Sunita Saha, A. Papanikolaou, J. Martusewicz, R. Sitnik","doi":"10.1109/ComPE49325.2020.9200041","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200041","url":null,"abstract":"Augmented reality is a field of presenting and visualizing the real-world problem enhanced by computer-generated algorithms. The computer-generated perceptual information becomes a premier research topic to solve various 3D problems. In this present age, it is very important to digitize the process of work and store it to keep track of the changes over time. This work is focused on storing digital documentation of the restoration of cultural heritage objects concerning the parameter of occurrences of surface geometry change on the surface of the objects. The paper shows the application of structured light techniques to the analysis of a cultural heritage object during restoration. In order to detect and visualize changes a global geometry analysis was applied and presented the outcome through a global distance histogram. The study also includes the discussion of facing possible challenges during the development of the algorithms for the change analysis.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"1 2 1","pages":"537-542"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89651949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200081
Mohammad Zeyad, S. M. Masum Ahmed, MD. Maruf, Md. Shehzad, Md. Abul Ala Walid
This paper shows such a form of protected remote control framework based on Microcontroller (ATmega328p) that will operate via an Android cell phone Application and offers powerful protection to secure home appliances from unwanted users. The intended application’s name is ‘HACA (Home Appliances Controlling Application)-App’. At first, to operate the app, Wi-Fi/Bluetooth/Mobile Data is needed to connect with the app. The user will set the password as per own will. Additionally, the user can change the password at any time. A dual password verification system will be included in the application as well as the system. After the password setting, the software should be ready to use to monitor the timing of the loading of home appliances ON/OFF. Through using this smartphone app the load could be managed without using any switches. No need for a manual fan speed controller as the fan speed can be controlled through the HACA mobile app. Although, user can control the selected home appliances through the system by using the app from any room of the flat. Moreover, remote control of these selected appliances will be performed through Bluetooth or Mobile Data or with Wi-Fi is accommodated in the system. Besides, accidentally keeping lights and fans ON can be stopped easily by using this device from anywhere. By doing this the loss of the electricity consumption can be prevented. The App aims to make human lives standard and prevent the loss of electricity consumption which will make humans daily life more comfortable.
{"title":"Design & Implementation of a Micro-Controller based Home Appliances Controlling with Dual Verification Application System","authors":"Mohammad Zeyad, S. M. Masum Ahmed, MD. Maruf, Md. Shehzad, Md. Abul Ala Walid","doi":"10.1109/ComPE49325.2020.9200081","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200081","url":null,"abstract":"This paper shows such a form of protected remote control framework based on Microcontroller (ATmega328p) that will operate via an Android cell phone Application and offers powerful protection to secure home appliances from unwanted users. The intended application’s name is ‘HACA (Home Appliances Controlling Application)-App’. At first, to operate the app, Wi-Fi/Bluetooth/Mobile Data is needed to connect with the app. The user will set the password as per own will. Additionally, the user can change the password at any time. A dual password verification system will be included in the application as well as the system. After the password setting, the software should be ready to use to monitor the timing of the loading of home appliances ON/OFF. Through using this smartphone app the load could be managed without using any switches. No need for a manual fan speed controller as the fan speed can be controlled through the HACA mobile app. Although, user can control the selected home appliances through the system by using the app from any room of the flat. Moreover, remote control of these selected appliances will be performed through Bluetooth or Mobile Data or with Wi-Fi is accommodated in the system. Besides, accidentally keeping lights and fans ON can be stopped easily by using this device from anywhere. By doing this the loss of the electricity consumption can be prevented. The App aims to make human lives standard and prevent the loss of electricity consumption which will make humans daily life more comfortable.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"25 1","pages":"665-670"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86673740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200067
Supriya Katwe, N. Iyer
The main task in navigation of an autonomous vehicle is to have accurate and robust localization. There are variety of localization techniques in study using particle filter; for localization with or without using map information in the measurements. There is a lack of study in localization methods employing map data in particle filter. This paper summarizes the localization techniques that use map information in particle filter for estimation. The study of various literature in the particle filter for localization using map data shows that, accurate and robust localization can be achieved for an autonomous vehicle provided the map to be used in the measurements is constructed precisely with the necessary features like road curbs, edges, trajectories etc.
{"title":"Map-Based Particle Filter for Localization: Autonomous Vehicle","authors":"Supriya Katwe, N. Iyer","doi":"10.1109/ComPE49325.2020.9200067","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200067","url":null,"abstract":"The main task in navigation of an autonomous vehicle is to have accurate and robust localization. There are variety of localization techniques in study using particle filter; for localization with or without using map information in the measurements. There is a lack of study in localization methods employing map data in particle filter. This paper summarizes the localization techniques that use map information in particle filter for estimation. The study of various literature in the particle filter for localization using map data shows that, accurate and robust localization can be achieved for an autonomous vehicle provided the map to be used in the measurements is constructed precisely with the necessary features like road curbs, edges, trajectories etc.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"35 1","pages":"303-304"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85627727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200129
Md Sadik Tasrif Anubhove, N. Ashrafi, A. M. Saleque, Morsheda Akter, Shadman Uddin Saif
This paper is highlighting an outline of disease detection in tomato using computer vision and machine learning algorithms. Readily available hardware is used to build a system where a camera mounted system can detect and identify spot disease in tomatoes in real-time. As an initial prototype only spot disease can be detected. The complete development can be divided into two parts. The first part is the software and algorithm which aimed to detect and identify disease in crops and generate a report for the user. It is successful in building the algorithm and GUI (graphical user interface) for the user which can detect spot disease in tomatoes. Using the Viola-Jones algorithm and Haar like feature extraction method for the machine learning process in MATLAB, an XML (an image trained file) file for spot disease in tomatoes is designed using 377 images of infected tomatoes. The second part is the hardware implementation which consists of a simple robot rig that carries the camera and the system scans the tomatoes for the disease. For the vast majority of the time, spot detection is accurate. Many other diseases which exist for the animal, human and crops can easily be added to the system. In terms of reliability, the system is a success with acceptable false positives.
{"title":"Machine Learning Algorithm based Disease Detection in Tomato with Automated Image Telemetry for Vertical Farming","authors":"Md Sadik Tasrif Anubhove, N. Ashrafi, A. M. Saleque, Morsheda Akter, Shadman Uddin Saif","doi":"10.1109/ComPE49325.2020.9200129","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200129","url":null,"abstract":"This paper is highlighting an outline of disease detection in tomato using computer vision and machine learning algorithms. Readily available hardware is used to build a system where a camera mounted system can detect and identify spot disease in tomatoes in real-time. As an initial prototype only spot disease can be detected. The complete development can be divided into two parts. The first part is the software and algorithm which aimed to detect and identify disease in crops and generate a report for the user. It is successful in building the algorithm and GUI (graphical user interface) for the user which can detect spot disease in tomatoes. Using the Viola-Jones algorithm and Haar like feature extraction method for the machine learning process in MATLAB, an XML (an image trained file) file for spot disease in tomatoes is designed using 377 images of infected tomatoes. The second part is the hardware implementation which consists of a simple robot rig that carries the camera and the system scans the tomatoes for the disease. For the vast majority of the time, spot detection is accurate. Many other diseases which exist for the animal, human and crops can easily be added to the system. In terms of reliability, the system is a success with acceptable false positives.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"1 1","pages":"250-254"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79560302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200060
A. Mishra, Dr. Brijesh Kumar Tripathi, Sudhir Singh Soam
Multiple sequence alignment (MSA) is an elementary task of bioinformatics where the alignment of three or more biological sequences is produced in a way that helps to identify the homologous regions in the sequences. This research paper proposes a genetic algorithm-based optimization approach that can enhance the value of multiple sequence alignment (MSA) generated by the progressive technique. Mutation operators like gap insertion mutation and gap removal mutations are applied to enhance the value of the MSA obtained by the progressive technique of alignment.
{"title":"A Genetic Algorithm based Approach for the Optimization of Multiple Sequence Alignment","authors":"A. Mishra, Dr. Brijesh Kumar Tripathi, Sudhir Singh Soam","doi":"10.1109/ComPE49325.2020.9200060","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200060","url":null,"abstract":"Multiple sequence alignment (MSA) is an elementary task of bioinformatics where the alignment of three or more biological sequences is produced in a way that helps to identify the homologous regions in the sequences. This research paper proposes a genetic algorithm-based optimization approach that can enhance the value of multiple sequence alignment (MSA) generated by the progressive technique. Mutation operators like gap insertion mutation and gap removal mutations are applied to enhance the value of the MSA obtained by the progressive technique of alignment.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"9 1","pages":"415-418"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82233213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200162
Anunay Kumar, Yashwardhan Sahi, Swet Chandan, P. Suresh
Helical gear is one of the parts of a machine which undergoes mechanical operation with some loading condition acting upon it. Helical gear deals with high contact and friction which reduces the slippage compared to spur gears. The load may cause damage to the gears generally to the tooth surface and breakage of gear tooth and other damages to the gear that may include deterioration of plastic material and the rim or web breakages. When the gears are used in assemblies are named as gear train. The leading factor of gear failures are the stress and surface strength of a gear tooth. So, it has been interesting in the research area to minimise the stress acted on the gear and optimal design of gear. In this paper the design of gear train at specific parameter is done in Solidworks and the aluminium alloy material is considered. The further analysis is done in ansys 18.0 where some loading condition is applied for the analysis. Two types of analysis is done to the simulation which is vibration and stress analysis. It is 500 N-m of moment is applied at gear train and the stress in the tooth and shafts are determined that whether the result analysis obtained is within the yield tensile limit of the used material.
{"title":"Modal Analysis of Helical Gear Train using Ansys","authors":"Anunay Kumar, Yashwardhan Sahi, Swet Chandan, P. Suresh","doi":"10.1109/ComPE49325.2020.9200162","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200162","url":null,"abstract":"Helical gear is one of the parts of a machine which undergoes mechanical operation with some loading condition acting upon it. Helical gear deals with high contact and friction which reduces the slippage compared to spur gears. The load may cause damage to the gears generally to the tooth surface and breakage of gear tooth and other damages to the gear that may include deterioration of plastic material and the rim or web breakages. When the gears are used in assemblies are named as gear train. The leading factor of gear failures are the stress and surface strength of a gear tooth. So, it has been interesting in the research area to minimise the stress acted on the gear and optimal design of gear. In this paper the design of gear train at specific parameter is done in Solidworks and the aluminium alloy material is considered. The further analysis is done in ansys 18.0 where some loading condition is applied for the analysis. Two types of analysis is done to the simulation which is vibration and stress analysis. It is 500 N-m of moment is applied at gear train and the stress in the tooth and shafts are determined that whether the result analysis obtained is within the yield tensile limit of the used material.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"28 1","pages":"604-607"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76802863","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}
Ground penetrating radar (GPR) uses electromagnetic (EM) wave to detect the subsurface objects. Interpretation and analysis of GPR signals are still challenging tasks as it requires skilled user (geologists in most cases). Particularly difficult is the prediction of the object sizes. This paper proposes a new method for predicting size of buried objects. First, standard scaling pre-processing techniques are used to optimise the B-Scan data. The features are then supplied to Random Forest (RF) and Support Vector Machine (SVM) classifiers to automatically predict the size of the buried object. The proposed feature based RF classifier shows similar performance in the accuracy of classification compared to SVM (Radial Basis Function kernel) system.
探地雷达(GPR)是一种利用电磁波探测地下物体的雷达。GPR信号的解释和分析仍然是一项具有挑战性的任务，因为它需要熟练的用户(大多数情况下是地质学家)。特别困难的是物体大小的预测。本文提出了一种预测埋藏物尺寸的新方法。首先，采用标准缩放预处理技术对b扫描数据进行优化。然后将这些特征提供给随机森林(RF)和支持向量机(SVM)分类器，以自动预测被埋物体的大小。所提出的基于特征的射频分类器在分类精度上与SVM (Radial Basis Function kernel，径向基函数核)系统相当。
{"title":"Prediction of Size of Buried Objects using Ground Penetrating Radar and Machine Learning Techniques","authors":"Nairit Barkataki, Sharmistha Mazumdar, Rajdeep Talukdar, Priyanka Chakraborty, B. Tiru, Utpal Sarma","doi":"10.1109/ComPE49325.2020.9200094","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200094","url":null,"abstract":"Ground penetrating radar (GPR) uses electromagnetic (EM) wave to detect the subsurface objects. Interpretation and analysis of GPR signals are still challenging tasks as it requires skilled user (geologists in most cases). Particularly difficult is the prediction of the object sizes. This paper proposes a new method for predicting size of buried objects. First, standard scaling pre-processing techniques are used to optimise the B-Scan data. The features are then supplied to Random Forest (RF) and Support Vector Machine (SVM) classifiers to automatically predict the size of the buried object. The proposed feature based RF classifier shows similar performance in the accuracy of classification compared to SVM (Radial Basis Function kernel) system.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"25 1","pages":"781-785"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84876085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200006
Siddhanta Borah, R. Kumar, Writtick Pakhira, Subhradip Mukherjee
With the advancement of new technologies now a days sensors systems have become more intelligent and compact in size as compared to other traditional sensor systems. In this research work, an IoT (Internet of Things) based low cost and power efficient hardware system is presented to monitor soil moisture. A capacitive soil moisture sensor is designed and calibrated in this work. The output data are compared with a standard SEN0193 capacitive soil moisture sensor to check the reliability of the sensor. To make the sensor system a 32 bit ESP32 controller has been used. The controller was programmed according to an algorithm named "Low Threshold Power Optimization (LTPO)" to consume low power. The ESP32 controller has an inbuilt IoT chip that provides more flexibility to the system. A small OLED display is also interfaced with the controller to monitor sensor value directly in the field. In this paper an open source server ThingSpeak.com is used to visualize and store moisture data.
{"title":"Design and Analysis of Power Efficient IoT Based Capacitive Sensor System to Measure Soil Moisture","authors":"Siddhanta Borah, R. Kumar, Writtick Pakhira, Subhradip Mukherjee","doi":"10.1109/ComPE49325.2020.9200006","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200006","url":null,"abstract":"With the advancement of new technologies now a days sensors systems have become more intelligent and compact in size as compared to other traditional sensor systems. In this research work, an IoT (Internet of Things) based low cost and power efficient hardware system is presented to monitor soil moisture. A capacitive soil moisture sensor is designed and calibrated in this work. The output data are compared with a standard SEN0193 capacitive soil moisture sensor to check the reliability of the sensor. To make the sensor system a 32 bit ESP32 controller has been used. The controller was programmed according to an algorithm named \"Low Threshold Power Optimization (LTPO)\" to consume low power. The ESP32 controller has an inbuilt IoT chip that provides more flexibility to the system. A small OLED display is also interfaced with the controller to monitor sensor value directly in the field. In this paper an open source server ThingSpeak.com is used to visualize and store moisture data.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"57 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84879790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ComPE49325.2020.9200049
A. Charan, J. K. Verma
This article is an attempt to identify the role of social media in regulating hate crimes and cyber racism in India. The freedom of speech is given to the citizens in many countries but a few disturbing elements are misusing this freedom and suppressing the voice of marginalized and Dalits. It is observed that the Fake news contents, hate crimes and cyber racism are increasing in India. The vigilance of internet contents and digital media is in nascent phase and need to be governed in the light of human rights and freedom of speech [1].One side network of haters and fake news bibliophiles are expanding their network in digital media at a faster rate. On the other side cohort of advocates dealing in International agreements, Human Rights and International Laws are establishing a sound framework for raising voice of marginalized on all possible decisive platforms. User generated contents are future of social media therefore, sketching the characters and identifying cyber crimes in advance must be an integral feature of the programming on social networking sites. This article is intended to identify overall impact of hate crimes on the society in general and on the Dalit and marginalized sections more specifically. The article will suggest some proactive measures for characterizing social media contents in order to regulate these contents by designated authorities or popular social networks.
{"title":"Characterizing Social Media Contents for Regulating Hate Crimes and Cyber Racism against Marginalized and Dalits In India","authors":"A. Charan, J. K. Verma","doi":"10.1109/ComPE49325.2020.9200049","DOIUrl":"https://doi.org/10.1109/ComPE49325.2020.9200049","url":null,"abstract":"This article is an attempt to identify the role of social media in regulating hate crimes and cyber racism in India. The freedom of speech is given to the citizens in many countries but a few disturbing elements are misusing this freedom and suppressing the voice of marginalized and Dalits. It is observed that the Fake news contents, hate crimes and cyber racism are increasing in India. The vigilance of internet contents and digital media is in nascent phase and need to be governed in the light of human rights and freedom of speech [1].One side network of haters and fake news bibliophiles are expanding their network in digital media at a faster rate. On the other side cohort of advocates dealing in International agreements, Human Rights and International Laws are establishing a sound framework for raising voice of marginalized on all possible decisive platforms. User generated contents are future of social media therefore, sketching the characters and identifying cyber crimes in advance must be an integral feature of the programming on social networking sites. This article is intended to identify overall impact of hate crimes on the society in general and on the Dalit and marginalized sections more specifically. The article will suggest some proactive measures for characterizing social media contents in order to regulate these contents by designated authorities or popular social networks.","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"30 1","pages":"864-871"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85386319","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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