In this paper a novel design for the self onslaught and safeguarding of the solar panel is designed. Due to the declination of fossil foils, there is a large demand for the renewable energy sources (RES). Meanwhile, the solar based energy systems are more in practice comparing to the other type of renewable resources, even in our nation the estimated budget for the ministry of new & renewable energy in the year of 2020-2021 was nearly 13,726.4 Crore rupees, which is about 10% higher than that of the FY20. The utilization of highly spotless solar energy is no more a new breakthrough of the researchers of our present generations. Whereas, the past of solar energy conversation was so elongated, several and exhilarating. But the maintenance and safe guarding for the solar panels is the biggest task. It is more economic and complicated. In this design a novel prototype is developed for the self onslaught of roof top and domestic installed solar panels which are much cost effective compared to the present maintenance cost.
{"title":"A Novel Design and Development of Self Maintained Solar Panel","authors":"Gondu Vykunta Rao, S.Ch.Santosh Kumar, Angirekula Venkata Sivaprasad, Shaik Asma Sukthana, Aruna Bharathi.M","doi":"10.1109/ICACC-202152719.2021.9708224","DOIUrl":"https://doi.org/10.1109/ICACC-202152719.2021.9708224","url":null,"abstract":"In this paper a novel design for the self onslaught and safeguarding of the solar panel is designed. Due to the declination of fossil foils, there is a large demand for the renewable energy sources (RES). Meanwhile, the solar based energy systems are more in practice comparing to the other type of renewable resources, even in our nation the estimated budget for the ministry of new & renewable energy in the year of 2020-2021 was nearly 13,726.4 Crore rupees, which is about 10% higher than that of the FY20. The utilization of highly spotless solar energy is no more a new breakthrough of the researchers of our present generations. Whereas, the past of solar energy conversation was so elongated, several and exhilarating. But the maintenance and safe guarding for the solar panels is the biggest task. It is more economic and complicated. In this design a novel prototype is developed for the self onslaught of roof top and domestic installed solar panels which are much cost effective compared to the present maintenance cost.","PeriodicalId":198810,"journal":{"name":"2021 International Conference on Advances in Computing and Communications (ICACC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114621365","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 : 2021-10-21DOI: 10.1109/ICACC-202152719.2021.9708399
J. Jose, M. Sindhu
The modern world is largely reliant on a steady supply of electricity. The introduction of microgrids provided a solution for balancing demand and supply and to provide reliable, efficient, stable, secure power supply. Micro-grid consists of prosumers, who consumes and exports renewable energy, consumers, energy storage systems and the utility. In comparison to independent operations by each prosumer, the energy exchange between nearby PV prosumers is shown to be a more efficient method. The results demonstrate the benefits of a prosumer consortium in maximizing power consumption at lesser cost and with less reliance on the main grid.
{"title":"Optimized Prosumer Consortium Model – Analysis","authors":"J. Jose, M. Sindhu","doi":"10.1109/ICACC-202152719.2021.9708399","DOIUrl":"https://doi.org/10.1109/ICACC-202152719.2021.9708399","url":null,"abstract":"The modern world is largely reliant on a steady supply of electricity. The introduction of microgrids provided a solution for balancing demand and supply and to provide reliable, efficient, stable, secure power supply. Micro-grid consists of prosumers, who consumes and exports renewable energy, consumers, energy storage systems and the utility. In comparison to independent operations by each prosumer, the energy exchange between nearby PV prosumers is shown to be a more efficient method. The results demonstrate the benefits of a prosumer consortium in maximizing power consumption at lesser cost and with less reliance on the main grid.","PeriodicalId":198810,"journal":{"name":"2021 International Conference on Advances in Computing and Communications (ICACC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128116252","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 : 2021-10-21DOI: 10.1109/ICACC-202152719.2021.9708116
A. John, V. R. Josna, Piyoosh Purushothaman Nair
Dataflow computing is seen as an advantageous method for parallel processing and provides efficiency in CPU intensive applications. The Network-on-Chip (NoC) is an integrated communication framework that employs router-based packet switching techniques to provide better throughput and deliver higher scalability for the system; thus, NoC is significant for dataflow computing. Hence router design proves to be essential for the performance of the architecture. The routers used in control flow architecture cannot be used in dataflow computing since multicasting is necessary and due to the higher injection rate in dataflow architecture. Thus the routers designed for dataflow computing with NoC is limited due to the technical challenges. In this paper, firstly, basic concepts of NoC and dataflow architecture are introduced and then a survey on three routers designed for dataflow computing: baseline routers, multicast routers with output buffers, and multicast routers with shared buffer (MRSB), along with their advantages and limitations. This paper would be helpful for the study of dataflow computing with NoC and router designs.
{"title":"Network-on-Chip Routers for Efficient Dataflow Computing: A Survey","authors":"A. John, V. R. Josna, Piyoosh Purushothaman Nair","doi":"10.1109/ICACC-202152719.2021.9708116","DOIUrl":"https://doi.org/10.1109/ICACC-202152719.2021.9708116","url":null,"abstract":"Dataflow computing is seen as an advantageous method for parallel processing and provides efficiency in CPU intensive applications. The Network-on-Chip (NoC) is an integrated communication framework that employs router-based packet switching techniques to provide better throughput and deliver higher scalability for the system; thus, NoC is significant for dataflow computing. Hence router design proves to be essential for the performance of the architecture. The routers used in control flow architecture cannot be used in dataflow computing since multicasting is necessary and due to the higher injection rate in dataflow architecture. Thus the routers designed for dataflow computing with NoC is limited due to the technical challenges. In this paper, firstly, basic concepts of NoC and dataflow architecture are introduced and then a survey on three routers designed for dataflow computing: baseline routers, multicast routers with output buffers, and multicast routers with shared buffer (MRSB), along with their advantages and limitations. This paper would be helpful for the study of dataflow computing with NoC and router designs.","PeriodicalId":198810,"journal":{"name":"2021 International Conference on Advances in Computing and Communications (ICACC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122420319","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 : 2021-10-21DOI: 10.1109/ICACC-202152719.2021.9708104
Abhinav Sharma, Muskaan Bhargava, A. Khanna
Contributing to about 17% of India’s total GDP and providing employment to more than 60% of net population, crop cultivation or agriculture plays an essential role in Indian economy. With the advent of technologies like vertical farming etc, evolution in this domain has been pretty evident. But, even when farming has such a massive command over the country, Indian farmers still rely on conventional methods and beliefs in order to exploit their land. Depending on the weather to comply with their farming method, for instance, and not vice versa is something which is found in every farmer’s trait. The intent of our research is to make possible crop suggestions for farmers by predicting which crop suits their situation and surroundings the best through an analysis of influential factors such as composition of Nitrogen, Phosphorous and Potassium in the soil, its pH value, humidity and rain fall using various models namely Decision tree, Gaussian Naive Bayes, Logistic Regression, Random Forests and XGBoost which fall under the domain of Machine Learning. Deployment has been done on an Android Application using TensorFlow Lite to ensure accessibility and ease of use for all the farmers at their fingertips.
{"title":"AI-Farm: A crop recommendation system","authors":"Abhinav Sharma, Muskaan Bhargava, A. Khanna","doi":"10.1109/ICACC-202152719.2021.9708104","DOIUrl":"https://doi.org/10.1109/ICACC-202152719.2021.9708104","url":null,"abstract":"Contributing to about 17% of India’s total GDP and providing employment to more than 60% of net population, crop cultivation or agriculture plays an essential role in Indian economy. With the advent of technologies like vertical farming etc, evolution in this domain has been pretty evident. But, even when farming has such a massive command over the country, Indian farmers still rely on conventional methods and beliefs in order to exploit their land. Depending on the weather to comply with their farming method, for instance, and not vice versa is something which is found in every farmer’s trait. The intent of our research is to make possible crop suggestions for farmers by predicting which crop suits their situation and surroundings the best through an analysis of influential factors such as composition of Nitrogen, Phosphorous and Potassium in the soil, its pH value, humidity and rain fall using various models namely Decision tree, Gaussian Naive Bayes, Logistic Regression, Random Forests and XGBoost which fall under the domain of Machine Learning. Deployment has been done on an Android Application using TensorFlow Lite to ensure accessibility and ease of use for all the farmers at their fingertips.","PeriodicalId":198810,"journal":{"name":"2021 International Conference on Advances in Computing and Communications (ICACC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133337479","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 : 2021-10-21DOI: 10.1109/ICACC-202152719.2021.9708364
Gagandeep Kaur, Ruchika Gupta
The motivation for every location based information system is: ”To assist with the exact details, with customized configuration and location sensitivity at the right place in real time”. The progressions in area location aware gadgets, for example, cell phones, RF-ID chips, GPS gadgets, and diverse situating advancements have prompted the development. Location-based Services provides the client with numerous administrations, such as locating a course, disclosing nearby buddies, locating crisis focuses, and so on. LBS (Location Based Service) has become increasingly more famous as of late. LBS permits Users to investigate the general condition. Location based services (LBS) use geospatial information of cell phones to give data progressively. A key worry in utilizing these administrations is the need to uncover the client’s accurate area, which may permit an enemy to construe private data about the client. Right now, play out an exploratory study about the different methods that have been proposed by numerous specialists dependent on brought together methodology, to protect location security of the client. In this paper subtleties and survey the different existing methods for protecting area security of the taking part client in LBS..
{"title":"A Study on Location Based Services and TTP based Privacy Preserving Techniques","authors":"Gagandeep Kaur, Ruchika Gupta","doi":"10.1109/ICACC-202152719.2021.9708364","DOIUrl":"https://doi.org/10.1109/ICACC-202152719.2021.9708364","url":null,"abstract":"The motivation for every location based information system is: ”To assist with the exact details, with customized configuration and location sensitivity at the right place in real time”. The progressions in area location aware gadgets, for example, cell phones, RF-ID chips, GPS gadgets, and diverse situating advancements have prompted the development. Location-based Services provides the client with numerous administrations, such as locating a course, disclosing nearby buddies, locating crisis focuses, and so on. LBS (Location Based Service) has become increasingly more famous as of late. LBS permits Users to investigate the general condition. Location based services (LBS) use geospatial information of cell phones to give data progressively. A key worry in utilizing these administrations is the need to uncover the client’s accurate area, which may permit an enemy to construe private data about the client. Right now, play out an exploratory study about the different methods that have been proposed by numerous specialists dependent on brought together methodology, to protect location security of the client. In this paper subtleties and survey the different existing methods for protecting area security of the taking part client in LBS..","PeriodicalId":198810,"journal":{"name":"2021 International Conference on Advances in Computing and Communications (ICACC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133882004","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 : 2021-10-21DOI: 10.1109/ICACC-202152719.2021.9708266
Vanavarayan S Boopathi, S. Akash, S. Aravind, B. Raghunath, N. Sabarish
Affixing PVC (Polyvinyl Chloride) pipe filled with 3.5% saline solution to wire antennas can aid to realize efficient electrically small low-frequency antennas, proof of concept for the aforementioned proposal is presented in this paper. Among the existing antenna miniaturization techniques, this tends to be simple, reliable, and cost-effective. Experimental results show a size reduction of 47% with a return loss of around -50dB along with a bandwidth enhancement of 53%. The primary goal of any miniaturization technique is to ensure the compactness of the overall system. This provides a vital solution to solve many challenges involved in potential transport systems like inland water transport systems. ANSYS HFSS was used for the preliminary design and simulation. Validation of return loss was carried out with Antenna Analyser (100kHz - 8GHz).
{"title":"Saline Solution Based Miniaturized Low Frequency Dipole for UAV based River Monitoring Systems","authors":"Vanavarayan S Boopathi, S. Akash, S. Aravind, B. Raghunath, N. Sabarish","doi":"10.1109/ICACC-202152719.2021.9708266","DOIUrl":"https://doi.org/10.1109/ICACC-202152719.2021.9708266","url":null,"abstract":"Affixing PVC (Polyvinyl Chloride) pipe filled with 3.5% saline solution to wire antennas can aid to realize efficient electrically small low-frequency antennas, proof of concept for the aforementioned proposal is presented in this paper. Among the existing antenna miniaturization techniques, this tends to be simple, reliable, and cost-effective. Experimental results show a size reduction of 47% with a return loss of around -50dB along with a bandwidth enhancement of 53%. The primary goal of any miniaturization technique is to ensure the compactness of the overall system. This provides a vital solution to solve many challenges involved in potential transport systems like inland water transport systems. ANSYS HFSS was used for the preliminary design and simulation. Validation of return loss was carried out with Antenna Analyser (100kHz - 8GHz).","PeriodicalId":198810,"journal":{"name":"2021 International Conference on Advances in Computing and Communications (ICACC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128285961","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 : 2021-10-21DOI: 10.1109/ICACC-202152719.2021.9708298
Akhila Assis, A. Biju, N. A. Alisha, Amrutha Dhanadas, N. Kurian
Due to rapid rise in population, there is an increase in the waste scattered and littered on the roads. Waste management has become an issue of concern, now more than ever around the world. There are instances where waste is deliberately left on the roads due to the lack of workers or means available. The hazardous nature of the work and the health risks it can pose for people is also another concern. With the rise of smart cities, we recognized the need to develop an autonomous garbage collecting robot that monitors, identifies and collects garbage from the environment accurately. For this purpose, we also conducted a comparative study of different object detection algorithms and evaluated them based on various parameters.
{"title":"Garbage Collecting Robot Using YOLOv3 Deep Learning Model","authors":"Akhila Assis, A. Biju, N. A. Alisha, Amrutha Dhanadas, N. Kurian","doi":"10.1109/ICACC-202152719.2021.9708298","DOIUrl":"https://doi.org/10.1109/ICACC-202152719.2021.9708298","url":null,"abstract":"Due to rapid rise in population, there is an increase in the waste scattered and littered on the roads. Waste management has become an issue of concern, now more than ever around the world. There are instances where waste is deliberately left on the roads due to the lack of workers or means available. The hazardous nature of the work and the health risks it can pose for people is also another concern. With the rise of smart cities, we recognized the need to develop an autonomous garbage collecting robot that monitors, identifies and collects garbage from the environment accurately. For this purpose, we also conducted a comparative study of different object detection algorithms and evaluated them based on various parameters.","PeriodicalId":198810,"journal":{"name":"2021 International Conference on Advances in Computing and Communications (ICACC)","volume":"43 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132903387","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 : 2021-10-21DOI: 10.1109/ICACC-202152719.2021.9708245
Anjana Unnikrishnan, A. T. Roshni, P. Anusha, Anju M Vinny, C. K. Anuraj
Year after year drowning deaths are increasing tremendously, making it the 3rd leading cause of unintentional injury deaths worldwide. Drift prediction methodology is typically not used in river ecosystems and conventional methods for human rescue do not account for feasible and faster human detection. Utilization of multiple sensor data in underwater human rescue applications can capacitate faster human detection. This paper discusses the design, implementation, and testing of such an underwater human detection system, which spots the victim drifting or drowning in freshwater ecosystems. The water flow sensor attached to this portable device can calculate drift distance to track down the victim. The ultrasonic sensor activates the underwater camera upon detecting an object, to facilitate real-time human localization. We performed real-time object detection on a custom dataset by applying DarkNet-53 pre-trained weights on YOLOv3 architecture and a mean Average Precision (mAP) of 98.0% was achieved. The system attained a detection depth of 5m. Combined action of drift distance calculator and YOLOv3 real-time detection model can speed up underwater human extrication.
{"title":"Identification of Drowning Victims in Freshwater Bodies using Drift Prediction and Image Processing based on Deep Learning","authors":"Anjana Unnikrishnan, A. T. Roshni, P. Anusha, Anju M Vinny, C. K. Anuraj","doi":"10.1109/ICACC-202152719.2021.9708245","DOIUrl":"https://doi.org/10.1109/ICACC-202152719.2021.9708245","url":null,"abstract":"Year after year drowning deaths are increasing tremendously, making it the 3rd leading cause of unintentional injury deaths worldwide. Drift prediction methodology is typically not used in river ecosystems and conventional methods for human rescue do not account for feasible and faster human detection. Utilization of multiple sensor data in underwater human rescue applications can capacitate faster human detection. This paper discusses the design, implementation, and testing of such an underwater human detection system, which spots the victim drifting or drowning in freshwater ecosystems. The water flow sensor attached to this portable device can calculate drift distance to track down the victim. The ultrasonic sensor activates the underwater camera upon detecting an object, to facilitate real-time human localization. We performed real-time object detection on a custom dataset by applying DarkNet-53 pre-trained weights on YOLOv3 architecture and a mean Average Precision (mAP) of 98.0% was achieved. The system attained a detection depth of 5m. Combined action of drift distance calculator and YOLOv3 real-time detection model can speed up underwater human extrication.","PeriodicalId":198810,"journal":{"name":"2021 International Conference on Advances in Computing and Communications (ICACC)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124488630","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 : 2021-10-21DOI: 10.1109/ICACC-202152719.2021.9708202
R. Surya, Karthi Balasubramanian, B. Yamuna
There is an ever increasing demand for low power and high speed error control decoders in digital communication systems. Viterbi decoder, used for decoding convolutional codes finds extensive use in wireless communication systems. This paper deals with the design of a low power and high speed pipelined Viterbi decoder using T-algorithm with normalization, aimed towards decoding high constraint length convolutional codes. When high constraint length convolutional codes are used, the error correcting capability of the decoder increases but at the cost of increased decoder complexity and reduced speed of operation. To reduce the complexity and hence reduce power and area, the number of bits used to store the path metric value of the decoder is decreased. To overcome the performance degradation due to the truncation of storage bits, a `high bit clear’ normalization circuit is used in the proposed work. From the results, it was observed that a rate 1/2 decoder with a truncated 6-bits wide path metric value along with the normalization unit occupies 20.90 percentage less area and consumes 18.18 percentage less power as compared to a decoder using nineteen path metric bits. Apart from low power operation, the design speed is also increased by designing the normalization unit in a pipelined fashion. For the same rate 1/2 decoder, the maximum speed of the decoder increases from 4 MHz to 5.6 MHz due to the implementation of the normalization block in a pipelined fashion. It is envisaged that this low power and high speed Viterbi decoder will play a significant role in applications including wireless sensor networks and mobile communications.
{"title":"Design of a low power and high-speed Viterbi decoder using T-algorithm with normalization","authors":"R. Surya, Karthi Balasubramanian, B. Yamuna","doi":"10.1109/ICACC-202152719.2021.9708202","DOIUrl":"https://doi.org/10.1109/ICACC-202152719.2021.9708202","url":null,"abstract":"There is an ever increasing demand for low power and high speed error control decoders in digital communication systems. Viterbi decoder, used for decoding convolutional codes finds extensive use in wireless communication systems. This paper deals with the design of a low power and high speed pipelined Viterbi decoder using T-algorithm with normalization, aimed towards decoding high constraint length convolutional codes. When high constraint length convolutional codes are used, the error correcting capability of the decoder increases but at the cost of increased decoder complexity and reduced speed of operation. To reduce the complexity and hence reduce power and area, the number of bits used to store the path metric value of the decoder is decreased. To overcome the performance degradation due to the truncation of storage bits, a `high bit clear’ normalization circuit is used in the proposed work. From the results, it was observed that a rate 1/2 decoder with a truncated 6-bits wide path metric value along with the normalization unit occupies 20.90 percentage less area and consumes 18.18 percentage less power as compared to a decoder using nineteen path metric bits. Apart from low power operation, the design speed is also increased by designing the normalization unit in a pipelined fashion. For the same rate 1/2 decoder, the maximum speed of the decoder increases from 4 MHz to 5.6 MHz due to the implementation of the normalization block in a pipelined fashion. It is envisaged that this low power and high speed Viterbi decoder will play a significant role in applications including wireless sensor networks and mobile communications.","PeriodicalId":198810,"journal":{"name":"2021 International Conference on Advances in Computing and Communications (ICACC)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116690940","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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