Pub Date : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688077
Vijayalakshmi S. Katti, Mani Kumari, Madhu Kumari
Now a days, people are being more responsible/ sensitive toward the environment and the surroundings. They want to contribute more toward a healthy environment for coming generations, and technology is playing a vital role in this. Now most of the people especially in India have at least one smart phone in their home. They are also able to search what they want over the internet and all thanks to technology revolution which made that happen. BinItAll- Waste Management System is an application, developed to help the people to achieve their goal of a healthy environment with the help of technology. Main intention behind developing this application is to help people in managing waste easily and properly. All waste types can't be processed together, each has their own way to recycle/ process. It accessible both as website and mobile application. Each person can make use of this application and book a vehicle which will dump their waste to their appropriate place. For that, person has to just go to either the website or download the mobile application. This application facilitates good interaction between a user and a driver. User has to select the location from where waste has to be picked up and the notification goes to nearby drivers who then reach at the provided location, collect the waste and dump it to appropriate place. It also has an Admin/ Manager, who can facilitates the service for the person who are new to the technology especially the old age people in booking the vehicle.
{"title":"BinItAll- Waste Management System","authors":"Vijayalakshmi S. Katti, Mani Kumari, Madhu Kumari","doi":"10.1109/CENTCON52345.2021.9688077","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688077","url":null,"abstract":"Now a days, people are being more responsible/ sensitive toward the environment and the surroundings. They want to contribute more toward a healthy environment for coming generations, and technology is playing a vital role in this. Now most of the people especially in India have at least one smart phone in their home. They are also able to search what they want over the internet and all thanks to technology revolution which made that happen. BinItAll- Waste Management System is an application, developed to help the people to achieve their goal of a healthy environment with the help of technology. Main intention behind developing this application is to help people in managing waste easily and properly. All waste types can't be processed together, each has their own way to recycle/ process. It accessible both as website and mobile application. Each person can make use of this application and book a vehicle which will dump their waste to their appropriate place. For that, person has to just go to either the website or download the mobile application. This application facilitates good interaction between a user and a driver. User has to select the location from where waste has to be picked up and the notification goes to nearby drivers who then reach at the provided location, collect the waste and dump it to appropriate place. It also has an Admin/ Manager, who can facilitates the service for the person who are new to the technology especially the old age people in booking the vehicle.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132756331","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9687913
Shreyash Sabde, P. Pagala, Kartik Mudaliar, K. Ashwini
Many vehicles have the facility to check the health of the engine, driving characteristics, ADAS, and many more advanced features. But they all are observed in high-end cars which are costly. This paper focuses on creating a low-cost framework for existing vehicles, where the framework will contain the driving environment characteristics, driving analysis, and vehicle health characteristics. We have utilized the On-Board Diagnostic II (OBD II) module and also smartphone to build the ML and analytics model and this model is used in our proposed framework. So, with the help of OBD II and smartphone, we can collect the vision data, sensor data which we can further use in our model to derive the result which will help the driver in regards to car maintenance, driving skills in a way to improve driving skills, and also to government by reporting road anomalies.
{"title":"Scalable Machine Learning and Analytics of the Vehicle Data to derive Vehicle Health and Driving Characteristics","authors":"Shreyash Sabde, P. Pagala, Kartik Mudaliar, K. Ashwini","doi":"10.1109/CENTCON52345.2021.9687913","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9687913","url":null,"abstract":"Many vehicles have the facility to check the health of the engine, driving characteristics, ADAS, and many more advanced features. But they all are observed in high-end cars which are costly. This paper focuses on creating a low-cost framework for existing vehicles, where the framework will contain the driving environment characteristics, driving analysis, and vehicle health characteristics. We have utilized the On-Board Diagnostic II (OBD II) module and also smartphone to build the ML and analytics model and this model is used in our proposed framework. So, with the help of OBD II and smartphone, we can collect the vision data, sensor data which we can further use in our model to derive the result which will help the driver in regards to car maintenance, driving skills in a way to improve driving skills, and also to government by reporting road anomalies.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132478301","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688100
Bharat Singh, Ankit Vijayvargiya, Rajesh Kumar
Synthesis of reference joint trajectories for the legged robot is a very difficult task due to higher degrees of free-dom. The gait dataset can be used to develop the models which can provide the required references. This paper presents the kine-matic modeling of human gait data, which is used as the reference joint trajectory for a Biped robot, 8 deep learning models are proposed. Gait data-set of 120 subjects are collected at RAMAN Lab, MNIT Jaipur, India using the vision-based methodology. All subjects belong to the 5–60 years age group. Four type of novel mappings, one-to-one (knee-to-knee, hip-to-hip, and ankle-to-ankle), many-to-one (knee+hip+ankle-to-knee/hip/ankle), one-to-many (knee/ankle/hip-to-knee+hip+ankle), and many-to-many (knee+hip+ankle-to-knee+hip+ankle), are also developed. These mapping provides the reference trajectories to biped robot and relationships between the knee/hip/ankle trajectories is also ob-tained. Performance evaluation of developed models is measured by average error, maximum error and root mean square error. Results show that the bidirectional deep learning technique performs better for different mappings. Finally, a discussion is provided for the applicability of developed mapping robots in real biped robots.
{"title":"Data Driven Kinematic Modeling of Human Gait for Synthesize Joint Trajectory","authors":"Bharat Singh, Ankit Vijayvargiya, Rajesh Kumar","doi":"10.1109/CENTCON52345.2021.9688100","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688100","url":null,"abstract":"Synthesis of reference joint trajectories for the legged robot is a very difficult task due to higher degrees of free-dom. The gait dataset can be used to develop the models which can provide the required references. This paper presents the kine-matic modeling of human gait data, which is used as the reference joint trajectory for a Biped robot, 8 deep learning models are proposed. Gait data-set of 120 subjects are collected at RAMAN Lab, MNIT Jaipur, India using the vision-based methodology. All subjects belong to the 5–60 years age group. Four type of novel mappings, one-to-one (knee-to-knee, hip-to-hip, and ankle-to-ankle), many-to-one (knee+hip+ankle-to-knee/hip/ankle), one-to-many (knee/ankle/hip-to-knee+hip+ankle), and many-to-many (knee+hip+ankle-to-knee+hip+ankle), are also developed. These mapping provides the reference trajectories to biped robot and relationships between the knee/hip/ankle trajectories is also ob-tained. Performance evaluation of developed models is measured by average error, maximum error and root mean square error. Results show that the bidirectional deep learning technique performs better for different mappings. Finally, a discussion is provided for the applicability of developed mapping robots in real biped robots.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132011497","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9687927
Amit R, Nagaraj G Cholli
Lean Methodology was introduced to the world in the early 20th century by Toyota Motor company and has been present, adopted in the workflows of many other automotive and heavy industries from a very long time. It is only in the recent times that the importance of this principle has been realized globally and is being incorporated into the world of software engineering and software development lifecycle processes. In this paper we shall take a look into the basics of lean methodology and understand how the principles of lean in accordance with six sigma principles can be utilized in modern software development practices to achieve highly efficient workflows and performance results. We shall also compare and contrast the advantages of using lean methodology in software production.
{"title":"Application of Lean Principles in Software Development Processes","authors":"Amit R, Nagaraj G Cholli","doi":"10.1109/CENTCON52345.2021.9687927","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9687927","url":null,"abstract":"Lean Methodology was introduced to the world in the early 20th century by Toyota Motor company and has been present, adopted in the workflows of many other automotive and heavy industries from a very long time. It is only in the recent times that the importance of this principle has been realized globally and is being incorporated into the world of software engineering and software development lifecycle processes. In this paper we shall take a look into the basics of lean methodology and understand how the principles of lean in accordance with six sigma principles can be utilized in modern software development practices to achieve highly efficient workflows and performance results. We shall also compare and contrast the advantages of using lean methodology in software production.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"1210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131353317","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688188
Amrita Verma Pargaien, Saurabh Pargaien, T. Kumar, N. Pargaien, M. S. Kedar, Himanshu Joshi
Education can be coined as one of the indispensable domains that got colossally effected due to this persisting timeframe of the COVID-19 pandemic. Via this paper the author wishes to enlighten you on the ill-effects brought down by these tough times on our education and predominantly, to categorize the various legitimate resources which are currently in use by the learners in order to pace-up with the traditional learning methods. For this various platform were instigated by the government, which are hereby analyzed. It's really upsetting to learn that these platforms often get unobtrusive of the students and the target users as the exigency of each learner quarrels with that of the others. The virtual modus-operandi of studying and learning even comes up with numerous hassles, which are later examined in the paper. The significance of virtual learning or e-learning is accentuated along with the anticipated conceivability
{"title":"A study on the availability and utilization of e-educational portals during Covid-19 pandemic","authors":"Amrita Verma Pargaien, Saurabh Pargaien, T. Kumar, N. Pargaien, M. S. Kedar, Himanshu Joshi","doi":"10.1109/CENTCON52345.2021.9688188","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688188","url":null,"abstract":"Education can be coined as one of the indispensable domains that got colossally effected due to this persisting timeframe of the COVID-19 pandemic. Via this paper the author wishes to enlighten you on the ill-effects brought down by these tough times on our education and predominantly, to categorize the various legitimate resources which are currently in use by the learners in order to pace-up with the traditional learning methods. For this various platform were instigated by the government, which are hereby analyzed. It's really upsetting to learn that these platforms often get unobtrusive of the students and the target users as the exigency of each learner quarrels with that of the others. The virtual modus-operandi of studying and learning even comes up with numerous hassles, which are later examined in the paper. The significance of virtual learning or e-learning is accentuated along with the anticipated conceivability","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129368576","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9687929
D. Jhala, A. Pathak, S. Ghosh, Deepti Barhate
The number of couples pursuing In-Vitro Fertilization (IVF) continues to grow worldwide, making infertility a global health problem. An approach to enhance traditional IVF is to find the success rate at the early phase of IVF considering both the patient characteristics and embryo formation as well. Taking this approach into account, we propose a paper that uses a novel method to determine the likelihood of live birth. This is the first research that we are aware of that predicts live birth outcome based on both intrinsic and extrinsic factors. The proposed method is to analyze the embryo image and the patient characteristics, two different algorithms have been developed to achieve this. Initially, by considering patient characteristics, a prediction is obtained using Multiple Linear Regression, and thereafter Hough Transform is applied over day 3 cleavage stage embryo to get prediction based on number of cells. At the end the results are averaged and a final outcome is presented. According to our test results, we found high prediction chances up to 42.89% and 32.27% for the patients with positive live birth and 12.27%, 23.34%, and 17.8% for the patients with negative live birth.
{"title":"Predicting Chances of Live Birth in IVF procedure based on Day 3 Embryo Analysis and Patient Characteristics","authors":"D. Jhala, A. Pathak, S. Ghosh, Deepti Barhate","doi":"10.1109/CENTCON52345.2021.9687929","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9687929","url":null,"abstract":"The number of couples pursuing In-Vitro Fertilization (IVF) continues to grow worldwide, making infertility a global health problem. An approach to enhance traditional IVF is to find the success rate at the early phase of IVF considering both the patient characteristics and embryo formation as well. Taking this approach into account, we propose a paper that uses a novel method to determine the likelihood of live birth. This is the first research that we are aware of that predicts live birth outcome based on both intrinsic and extrinsic factors. The proposed method is to analyze the embryo image and the patient characteristics, two different algorithms have been developed to achieve this. Initially, by considering patient characteristics, a prediction is obtained using Multiple Linear Regression, and thereafter Hough Transform is applied over day 3 cleavage stage embryo to get prediction based on number of cells. At the end the results are averaged and a final outcome is presented. According to our test results, we found high prediction chances up to 42.89% and 32.27% for the patients with positive live birth and 12.27%, 23.34%, and 17.8% for the patients with negative live birth.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126063770","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688272
Jai Mangal, Ajay Kumar
This paper contemplates the designing of a compact two-port MIMO antenna for ultra-wideband frequency range applications. This paper introduces the concept of partial ground which eventually helps in achieving wider frequency bandwidth. The proposed MIMO antenna is designed over a substrate called FR4 epoxy. The patch located in the ground plane was fabricated using copper. The proposed MIMO antenna dimensions are 24mm×24mm×1.6mm. Patch placed at the top of the antenna is created by placing circular slots which eventually lead to steady current and higher reflection coefficient. The antenna achieves a reflection coefficient of −42.62 dB at the resonating frequency of 8.6 GHz. The antenna achieves the −10dB bandwidth ranging from 3 GHz to 12 GHz which covers the whole unlicensed ultra-wideband frequency range. The antenna achieves a maximum gain of 2.6 dBi at 10.6 GHz. Radiation efficiency of the antenna is 95.21%. This work concludes the designing of a two-port antenna that can attain a higher reflection coefficient with a wider bandwidth. The antenna can achieve these purposes with the help of annular patches and partial ground.
{"title":"An Annular Shaped Two-Port MIMO Antenna For Ultra Wide Band Frequency Range Applications","authors":"Jai Mangal, Ajay Kumar","doi":"10.1109/CENTCON52345.2021.9688272","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688272","url":null,"abstract":"This paper contemplates the designing of a compact two-port MIMO antenna for ultra-wideband frequency range applications. This paper introduces the concept of partial ground which eventually helps in achieving wider frequency bandwidth. The proposed MIMO antenna is designed over a substrate called FR4 epoxy. The patch located in the ground plane was fabricated using copper. The proposed MIMO antenna dimensions are 24mm×24mm×1.6mm. Patch placed at the top of the antenna is created by placing circular slots which eventually lead to steady current and higher reflection coefficient. The antenna achieves a reflection coefficient of −42.62 dB at the resonating frequency of 8.6 GHz. The antenna achieves the −10dB bandwidth ranging from 3 GHz to 12 GHz which covers the whole unlicensed ultra-wideband frequency range. The antenna achieves a maximum gain of 2.6 dBi at 10.6 GHz. Radiation efficiency of the antenna is 95.21%. This work concludes the designing of a two-port antenna that can attain a higher reflection coefficient with a wider bandwidth. The antenna can achieve these purposes with the help of annular patches and partial ground.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127525207","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688177
Sridhar S K, Amutharaj J
This paper validates the effectiveness of decision tree classification models by performing the data analysis of the large data set collected in the real time implementation of an intelligent composite offload decision (ICODA) framework with on-premise mobile device cloud. We have collected around 40000 data records of real time device resource status information with 7 inputs and 1 output attribute each at different time conditions. These 40000 data records are then cleaned and normalized to scale down in practical range to about 4608 training samples. The machine learning classification technique is applied on different train-test-split ratio using ID3, CART and random forest classifiers (RFC) with proper randomized and grid search cross validations. The resulting mean accuracy percentage is observed at 92.91 with ID3, 99.22 with CART and 99.44 with RFC evaluating all the possible combinations in the data set. The experimental results show that the random forest classifier outperforms the other methods in data offload framework.
{"title":"Decision Tree based Classification of Profiled Mobile Device Resource Status Information for Data Offloading in Private Network","authors":"Sridhar S K, Amutharaj J","doi":"10.1109/CENTCON52345.2021.9688177","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688177","url":null,"abstract":"This paper validates the effectiveness of decision tree classification models by performing the data analysis of the large data set collected in the real time implementation of an intelligent composite offload decision (ICODA) framework with on-premise mobile device cloud. We have collected around 40000 data records of real time device resource status information with 7 inputs and 1 output attribute each at different time conditions. These 40000 data records are then cleaned and normalized to scale down in practical range to about 4608 training samples. The machine learning classification technique is applied on different train-test-split ratio using ID3, CART and random forest classifiers (RFC) with proper randomized and grid search cross validations. The resulting mean accuracy percentage is observed at 92.91 with ID3, 99.22 with CART and 99.44 with RFC evaluating all the possible combinations in the data set. The experimental results show that the random forest classifier outperforms the other methods in data offload framework.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124582276","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9688261
Arpita Sarkar, Ranjitha Govindaraj, Jyotsna Rao J, Uttam Pal
Toilet cleaners are common in urban households. The market is flooded with toilet cleaners. Composed of strong chemicals, they are known to release harmful pollutants into the air and water. This study aims to investigate the indoor pollutant concentrations in a toilet after using toilet cleaners and understand their determinant on the air quality. The experiment was conducted in a toilet of a residence using Harpic Power plus, Domex Active Green Formula, and Mr. Muscle Visible Power, the three of the leading brands of toilet cleaners in the market. Measurement sampling was performed for CO2, PM2.5, PM10, Temperature, Humidity, and AQI using IQAir, Visual Air Quality Monitor. The results showed an increase in the Air Quality Index to Hazardous levels for all the three products for 2 hrs after application and rinse. High concentration values of PM2.5, PM10, and CO2 were also noted during this period, rendering the space unsafe for occupancy. The paper concludes that the leading brands of toilet cleaners pose a major health risk to the occupants in the experiment.
厕所清洁工在城市家庭中很常见。市场上到处都是厕所清洁剂。它们由强化学物质组成，已知会向空气和水中释放有害污染物。本研究旨在调查使用厕所清洁剂后厕所室内污染物浓度，了解其对空气质量的决定因素。实验是在住宅卫生间内进行的，使用了目前市场上代表性的3个卫生间清洁剂品牌Harpic Power plus、Domex Active Green Formula、Mr. Muscle Visible Power。采用IQAir (Visual Air Quality Monitor)对CO2、PM2.5、PM10、温度、湿度和AQI进行测量采样。结果显示，在使用和冲洗后的2小时内，三种产品的空气质量指数均上升至危险水平。在此期间，PM2.5、PM10和CO2的浓度也很高，使得空间不适合居住。该论文的结论是，在实验中，主要品牌的厕所清洁剂对居住者构成了重大的健康风险。
{"title":"Determinant Effects of using Toilet Cleaners on Indoor Air Quality","authors":"Arpita Sarkar, Ranjitha Govindaraj, Jyotsna Rao J, Uttam Pal","doi":"10.1109/CENTCON52345.2021.9688261","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9688261","url":null,"abstract":"Toilet cleaners are common in urban households. The market is flooded with toilet cleaners. Composed of strong chemicals, they are known to release harmful pollutants into the air and water. This study aims to investigate the indoor pollutant concentrations in a toilet after using toilet cleaners and understand their determinant on the air quality. The experiment was conducted in a toilet of a residence using Harpic Power plus, Domex Active Green Formula, and Mr. Muscle Visible Power, the three of the leading brands of toilet cleaners in the market. Measurement sampling was performed for CO2, PM2.5, PM10, Temperature, Humidity, and AQI using IQAir, Visual Air Quality Monitor. The results showed an increase in the Air Quality Index to Hazardous levels for all the three products for 2 hrs after application and rinse. High concentration values of PM2.5, PM10, and CO2 were also noted during this period, rendering the space unsafe for occupancy. The paper concludes that the leading brands of toilet cleaners pose a major health risk to the occupants in the experiment.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114821317","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 : 2021-11-19DOI: 10.1109/CENTCON52345.2021.9687973
V. Singh, Amarjeet Singh, A. Aggarwal, S. Aggarwal
Information Technology companies have witnessed a growing recognition of emerging new architectural styles, such as Micro-services, for building event-oriented software systems. Usually, these applications are based on the concept of a database for each service, in which each database belongs to a completely single service. These services are built as separate business functions and are implemented using various technologies. Modern features, such as automatic deployment, are often integrated and implemented in the cloud according to proven DevOps methods. The amount of data generated every day - by sensors, website usage, events recorded by the system, etc. - is huge, as well as from various sources. Modern applications have to deal with this new flow of events. Event Micro-services allow us to obtain valuable information from these events and help users to make important business decisions. In this work event architecture concepts are investigated and it is explored that how this architectural model places events at the center of the system. Some of the main advantages of applying this architectural pattern are explored. Design choices for an event driven Micro-services along with resiliency in the event based systems are discussed.
{"title":"A digital Transformation Approach for Event Driven Micro-services Architecture residing within Advanced vcs","authors":"V. Singh, Amarjeet Singh, A. Aggarwal, S. Aggarwal","doi":"10.1109/CENTCON52345.2021.9687973","DOIUrl":"https://doi.org/10.1109/CENTCON52345.2021.9687973","url":null,"abstract":"Information Technology companies have witnessed a growing recognition of emerging new architectural styles, such as Micro-services, for building event-oriented software systems. Usually, these applications are based on the concept of a database for each service, in which each database belongs to a completely single service. These services are built as separate business functions and are implemented using various technologies. Modern features, such as automatic deployment, are often integrated and implemented in the cloud according to proven DevOps methods. The amount of data generated every day - by sensors, website usage, events recorded by the system, etc. - is huge, as well as from various sources. Modern applications have to deal with this new flow of events. Event Micro-services allow us to obtain valuable information from these events and help users to make important business decisions. In this work event architecture concepts are investigated and it is explored that how this architectural model places events at the center of the system. Some of the main advantages of applying this architectural pattern are explored. Design choices for an event driven Micro-services along with resiliency in the event based systems are discussed.","PeriodicalId":103865,"journal":{"name":"2021 International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121863952","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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