2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA最新文献

A Methods of Medical Image Security Using Visual-Cryptography Techniques 基于视觉密码技术的医学图像安全方法

2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA Pub Date : 2022-08-26 DOI: 10.1109/ICCUBEA54992.2022.10010776

Pallavi Waghmare, J. M. Waghmare

引用次数: 0

Simplifying Privacy Agreements using Machine Reading Comprehension and Open Domain 使用机器阅读理解和开放域简化隐私协议

2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA Pub Date : 2022-08-26 DOI: 10.1109/ICCUBEA54992.2022.10010822

Preet R. Sanghavi, Raj Ghamsani, Rishi Parekh, Ritik Mota, Deepika Dongre

{"title":"Simplifying Privacy Agreements using Machine Reading Comprehension and Open Domain","authors":"Preet R. Sanghavi, Raj Ghamsani, Rishi Parekh, Ritik Mota, Deepika Dongre","doi":"10.1109/ICCUBEA54992.2022.10010822","DOIUrl":"https://doi.org/10.1109/ICCUBEA54992.2022.10010822","url":null,"abstract":"Privacy Agreements are critically important from the company as well as the user's point of view. Upon surveying, we realise there are three most common issues faced by the user while trying to read their privacy agreements. First is excessive use of complex language and jargon that make it extremely difficult for the user to comprehend the agreement. The second issue is that if the user has a few questions with respect to the agreement, they are not answered directly. Lastly, there lies an absence of an agreement evaluator, that can help compare the document with the standards of the industry. We aim to alleviate this situation by proposing a three-fold technique involving Text Summarization, automated question answering and a Document Evaluator. Reading comprehension is one of the most critical abilities in human intelligence, and machine reading comprehension is one of the most popular research directions in the field of natural language processing. Machine reading is one of the key aspects to achieving artificial intelligence. The introduction of deep learning and large datasets in the recent few years has encouraged the success of MRC. Additionally, the open domain automatic question answering models have been widely studied in recent years. However, the problem of lack of sufficient data to read information from exists that makes questions out of the context of the text seem difficult to answer. In this study, we propose a novel framework to integrate MRC along with Open Domain to answer questions with increasing accuracy. This is achieved by classifying the question and retrieving the answer from multiple sources. Our model should be able to extract answers from discontinuous spans across the passage text. The answer that has the highest confidence associated with it is returned as the final answer. Moreover, the existing passage has been updated based on the questions answered.","PeriodicalId":437602,"journal":{"name":"2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115675520","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}

引用次数: 0

Sizing of Wind Turbine for Repowering of Old Wind Farm: A Case Study Based Approach 旧风电场改造中风力发电机的选型:基于案例研究的方法

2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA Pub Date : 2022-08-26 DOI: 10.1109/ICCUBEA54992.2022.10010971

Radharaman Shaha, L. Gidwani, K. Rao

引用次数: 0

Event Trigger Based Realistic Performance of MIH for Heterogeneous Wireless Networks 基于事件触发的异构无线网络MIH逼真性能研究

2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA Pub Date : 2022-08-26 DOI: 10.1109/ICCUBEA54992.2022.10011077

G. Rahate, N. Chopade

{"title":"Event Trigger Based Realistic Performance of MIH for Heterogeneous Wireless Networks","authors":"G. Rahate, N. Chopade","doi":"10.1109/ICCUBEA54992.2022.10011077","DOIUrl":"https://doi.org/10.1109/ICCUBEA54992.2022.10011077","url":null,"abstract":"Wireless technology has become an indispensable part of people's daily life. As a subscriber to any wireless service, the user expects uninterrupted wireless data and phone services, maybe at a cheaper cost. Furthermore, customers anticipate an “always-on connection” from networks, i.e., they want services to be available everywhere and at any time, regardless of the service provider or underlying technology. However, because various wireless standards and technologies are emerging worldwide, handshaking or handoff (also known as vertical/intersystem/seamless handoff) between different standards is unavoidable to provide seamless services. MIP (Mobile Internet Protocol), Hierarchical MIP (HMIP), and Fast MIP (FMIP) are some of the options for handling flawless handover needs. Another unique solution is proposed in the IEEE 802.21 standard, MIH (Media Independent Handover). In this paper, we propose a realistic performance evaluation of MIH based on the link-layer event triggers like Link up, Link down, Link detected, etc., for optimized QoS parameters such as packet loss and handover delay. We consider realistic terminal speeds and application traffic for a defined scenario. The performance evaluation of MIH is carried out for two modern heterogeneous wireless networks, LTE/WiMAX and Wi-Fi.","PeriodicalId":437602,"journal":{"name":"2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117087165","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}

引用次数: 0

Implementation of Faster RCNN Algorithm for Smart Robotic ARM Based on Computer Vision 基于计算机视觉的智能机械臂快速RCNN算法实现

2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA Pub Date : 2022-08-26 DOI: 10.1109/ICCUBEA54992.2022.10010930

Neha Sawant, Ayushman Tyagi, Sonali Sawant, S. Tade

{"title":"Implementation of Faster RCNN Algorithm for Smart Robotic ARM Based on Computer Vision","authors":"Neha Sawant, Ayushman Tyagi, Sonali Sawant, S. Tade","doi":"10.1109/ICCUBEA54992.2022.10010930","DOIUrl":"https://doi.org/10.1109/ICCUBEA54992.2022.10010930","url":null,"abstract":"Robotic arm is a powerful mechanism used in industries to carry out pick and place tasks with great speed and accuracy. This task can either be accomplished by an arm that follows a preprogramed trajectory or an arm that can use its own intelligence to complete the task using Machine Learning. The problem with an arm which lacks intelligence is that with changing circumstances they cannot acclimatize well, the arm needs human intervention to reprogram as per requirement and perform only as per instructed. However, the intelligent robotic arm can be made capable enough to make its own decision for tasks. Some already prevailing projects in this domain are majorly based on sensors for the classification and detection of objects for pick and place tasks. The arm that uses a color-based sensor for detection majorly has a drawback that is less accurate in exact color detection of objects and detection time is also compromised and if sensors fail, the entire system will not perform the intended task. To address this problem, we propose using the Faster Region-Based Convolutional Neural Networks ML model to implement an arm capable of automatically sorting red and blue boxes by capturing their images with an OV5674 camera and processing them on a Raspberry Pi 3 B+ to accurately detect and classify red and blue boxes. The mechanical arm movement is ensured by a precise inverse kinematic model, which helps pick and segregate packets according to the color they possess. Both accuracy and real-time computing performance are good in the experimental findings of the Faster RCNN model. The precision we achieved by using the Faster RCNN model is 78.8% for detecting and sorting red and blue boxes. Hence, experimentation using Faster RCNN for smart robotic arm has successfully resulted in good outcomes.","PeriodicalId":437602,"journal":{"name":"2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125921641","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}

引用次数: 0

Data Analytics and Visualization of Remote Healthcare Monitoring System 远程医疗监控系统的数据分析和可视化

2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA Pub Date : 2022-08-26 DOI: 10.1109/ICCUBEA54992.2022.10010938

Siti Manisah Zulkafli, Mazeyanti M. Ariffin, Azman Zakariya

{"title":"Data Analytics and Visualization of Remote Healthcare Monitoring System","authors":"Siti Manisah Zulkafli, Mazeyanti M. Ariffin, Azman Zakariya","doi":"10.1109/ICCUBEA54992.2022.10010938","DOIUrl":"https://doi.org/10.1109/ICCUBEA54992.2022.10010938","url":null,"abstract":"This project proposed to develop an IoT device that is equipped with multiple sensors to monitor patients' vital readings such as body temperature, heart rate, and oxygen saturation. The IoT device will have a complete set of monitoring activities of all the vital readings and is programmable. Therefore, this device enables the doctor to monitor their patient's health remotely. The project will be using Agile methodology. The IoT device will send the data to the cloud and the data will then be extracted to an application to be further analyzed and visualized. In addition, the data that has been analyzed and visualized will be displayed on a Power Apps. This enables the doctor to not only monitor the patient's reading but also retrieve useful information based on the data analysis performed by the application. In this paper, a literature study will be performed to identify the existing healthcare monitoring system. The limitations of a remotely monitoring system will be identified. The outcome of this project will be the development of remote patient monitoring device and the data analysis and data visualization that will be displayed in a Power Apps website.","PeriodicalId":437602,"journal":{"name":"2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123301126","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}

引用次数: 0

Real-Time Fault Detection Algorithms for Industrial Process Control Valve 工业过程控制阀的实时故障检测算法

2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA Pub Date : 2022-08-26 DOI: 10.1109/ICCUBEA54992.2022.10010817

Kieu-Trinh Van, T. Huynh, Trung-Tien Dai, Hoang-Dung Nguyen, T. Vo

{"title":"Real-Time Fault Detection Algorithms for Industrial Process Control Valve","authors":"Kieu-Trinh Van, T. Huynh, Trung-Tien Dai, Hoang-Dung Nguyen, T. Vo","doi":"10.1109/ICCUBEA54992.2022.10010817","DOIUrl":"https://doi.org/10.1109/ICCUBEA54992.2022.10010817","url":null,"abstract":"Failures on control valves often stop a part of the process or shutdown the whole plant if it occurs on critical systems. The detection of these failures is often dependent on operator supervision and experience. Thereby, the topic studies methods to detect fault on control valves, in order to warn the technical unit early to have timely corrective and preventive maintenance methods. The study topic is to build a structure to utilized the fault that occur in the Electro-Pneumatic Control Valve object, which is valve Fisher using positioner DVC6200 on experimental KIT of Control System at the Fertilizer Ca Mau Plant, with two typical fault on the control valve are instrument air leakage (fail air) and mechanical jam due to friction (fail friction). Valve operating parameters are collected by DCS system and connected to MATLAB/SIMULINK via OPC communication. Along with that, the study project also proposes three methods to detect fault on control valves proposed are: algorithm using valve linear characteristic, algorithm using model reference valve and algorithm using machine learning. In particular, the algorithms not only stop at simulation verification but also applied in practice, by running real-time experiments on the built model to evaluate the detection ability. Early failure in upper control valve object. The experimental results show the average fault detection accuracy of algorithms linear characteristic is the highest (75.45%), but it is not possible to classify specific fault, and algorithm machine learning not only has high accuracy (74.20 %), but also classify specific fault.","PeriodicalId":437602,"journal":{"name":"2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126934763","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}

引用次数: 0

Reflection based Distributed Denial of Service Attack Detection System 基于反射的分布式拒绝服务攻击检测系统

2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA Pub Date : 2022-08-26 DOI: 10.1109/ICCUBEA54992.2022.10011055

Vrinda Ahuja, Mrunal Kotkar, Rohini Bhongade, D. Kshirsagar

{"title":"Reflection based Distributed Denial of Service Attack Detection System","authors":"Vrinda Ahuja, Mrunal Kotkar, Rohini Bhongade, D. Kshirsagar","doi":"10.1109/ICCUBEA54992.2022.10011055","DOIUrl":"https://doi.org/10.1109/ICCUBEA54992.2022.10011055","url":null,"abstract":"An attacker can use a reflection amplification attack to increase the amount of destructive traffic they can generate while also hiding the source of the assault. The target is overwhelmed by this type of distributed denial-of-service (DDoS) attack, which causes system and service disruption or outage. On a regular basis, these attacks are expanding at an exponential rate. As a result, presenting an effective intrusion detection system capable of detecting these threats in a timely and efficient manner has become vital. The study offers an intrusion detection system that detects various reflection-based DDoS assaults using the CICDDoS2019 dataset. The J48 classifier is used to evaluate the proposed system, which uses InfoGain (IG) filter-based feature selection techniques. The suggested approach achieves an 80.4597 percent reduction in the dataset's original characteristics. Portmap, LDAP, NetBIOS, and MSSQL threats are all successfully and efficiently detected by the framework. The results of the recommended technique are compared to those of earlier approaches on the identical CICDDoS2019 dataset.","PeriodicalId":437602,"journal":{"name":"2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127018840","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}

引用次数: 0

Messenger Read Later Feature with Reminder Function 信使后读功能与提醒功能

2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA Pub Date : 2022-08-26 DOI: 10.1109/ICCUBEA54992.2022.10010989

Chaitanya Asole, Vinit Chaudhari, Atharv Abhang, Sarvesh Apshete, S. Lonare

{"title":"Messenger Read Later Feature with Reminder Function","authors":"Chaitanya Asole, Vinit Chaudhari, Atharv Abhang, Sarvesh Apshete, S. Lonare","doi":"10.1109/ICCUBEA54992.2022.10010989","DOIUrl":"https://doi.org/10.1109/ICCUBEA54992.2022.10010989","url":null,"abstract":"WhatsApp is a social media platform used for instant messaging and has over 2 billion users worldwide. It has audio and video calling, image sharing, notifications, etc. Notifications are very important, but their utility is significantly reduced when delivered at the wrong time. A person, in general, uses WhatsApp for an average of 38 mins per day. On an average a person is a member of at least 6 groups of more than 30 members. Many of these groups are important (Ex: Office group, Meeting group, Presentation group, etc.) and valuable messages are shared on these groups every day. Users find it difficult to segregate the crucial messages from the lesser important ones. The “Starred Messages” feature in WhatsApp is not designed in such a way that it can segregate the messages into various categories. Our idea of devising a “WhatsApp Read later Feature” is to make the segregation of messages quick, easy and comfortable so the users find and organize them quickly, increasing their productivity. The feature also comprises an inbuilt reminder function that gives users a reminder for the particular selected message, a wholly new and unique feature.","PeriodicalId":437602,"journal":{"name":"2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116024481","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}

引用次数: 0

Ontology based Disease Diagnosis using Natural Language Processing, SPARQL and Protégé from Patient Symptoms 基于本体的疾病诊断，使用自然语言处理、SPARQL和prot<s:2>从患者症状

2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA Pub Date : 2022-08-26 DOI: 10.1109/ICCUBEA54992.2022.10010771

Sarvesh Navare, Shruti Sawant, Shreerang Taparia, Saurav Tiwari, Pankaj Sonawane

{"title":"Ontology based Disease Diagnosis using Natural Language Processing, SPARQL and Protégé from Patient Symptoms","authors":"Sarvesh Navare, Shruti Sawant, Shreerang Taparia, Saurav Tiwari, Pankaj Sonawane","doi":"10.1109/ICCUBEA54992.2022.10010771","DOIUrl":"https://doi.org/10.1109/ICCUBEA54992.2022.10010771","url":null,"abstract":"As medical science is evolving; more diseases are being detected and have forayed into our world with high mortality rates. Accurate and immediate diagnosis and treatment has become extremely important. Some diseases take time to show distinctive symptoms but decline in health is extremely fast. This paper proposes a way of assisting individuals having marginalized access to healthcare and aims to decrease the ever-growing pressure on doctors. We aim to develop a model that will be able to give a classification of the disease that the patient might be suffering from after inputting the patient's symptoms in English or their native language using voice commands or text. Ontology has been created on the software Protégé, which contains information of about 13000 diseases out of which almost 5000 are infectious. Here, the causal insights will provide the various relationships between symptoms, symptom hierarchies, diseases and disease super classes. While this information might not be useful for the patient, the same will assist the doctor in providing faster treatment. Hence, this model can also be used by doctors for reconfirmation of their diagnosis and to revalidate the treatment being provided after generating the knowledge graph.","PeriodicalId":437602,"journal":{"name":"2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122696184","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}

引用次数: 1