Pub Date : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767149
Mahalakshmi Alias Isakki Ramakrishnan, Tharini Chandraprakasam
In a communication system, pulse shaping filters are used to create a band limited channel and to reduce the Inter Symbol Interference (ISI). Low Density Parity Check Codes (LDPC) code is the improved error correction code used in 5G technology to reduce BER to a great extent. This paper focuses on combining the effect of different pulse shaping filters with the novel rate adaptive irregular LDPC codes. The novel LDPC encoding algorithm having sparse Parity Check Matrix (PCM) is used to achieve capacity nearer to Shannon's Capacity. From the simulation results it is clear that this combination reduces the BER further. It is observed that this idea of combining pulse shaping filters and LDPC can be applied to high data rate communication like 5G in the view of reducing Bit Error Rate (BER).
在通信系统中，脉冲整形滤波器用于创建带限信道和减少符号间干扰(ISI)。低密度奇偶校验码(Low Density Parity Check Codes, LDPC)是5G技术中采用的改进型纠错码，可以在很大程度上降低误码率。本文重点研究了将不同脉冲整形滤波器的作用与一种新的速率自适应不规则LDPC码相结合。采用具有稀疏奇偶校验矩阵(PCM)的LDPC编码算法，使容量更接近香农容量。仿真结果表明，这种组合进一步降低了误码率。可以观察到，从降低误码率(BER)的角度来看，将脉冲整形滤波器与LDPC相结合的想法可以应用于5G等高数据速率通信中。
{"title":"Performance Analysis of Pulse Shaping Filters with Novel Rate Adaptive Irregular LDPC Codes","authors":"Mahalakshmi Alias Isakki Ramakrishnan, Tharini Chandraprakasam","doi":"10.1109/wispnet54241.2022.9767149","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767149","url":null,"abstract":"In a communication system, pulse shaping filters are used to create a band limited channel and to reduce the Inter Symbol Interference (ISI). Low Density Parity Check Codes (LDPC) code is the improved error correction code used in 5G technology to reduce BER to a great extent. This paper focuses on combining the effect of different pulse shaping filters with the novel rate adaptive irregular LDPC codes. The novel LDPC encoding algorithm having sparse Parity Check Matrix (PCM) is used to achieve capacity nearer to Shannon's Capacity. From the simulation results it is clear that this combination reduces the BER further. It is observed that this idea of combining pulse shaping filters and LDPC can be applied to high data rate communication like 5G in the view of reducing Bit Error Rate (BER).","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"19 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120871111","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 : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767126
Bhumika Gupta, K. K. Gola, Narayan Jee, Pratibha Dimri
Congestion is a topic that is still mainly unresolved and little addressed in Wireless Sensor Networks. When a mote receives excess data more than it can handle, it must buffer the redundant or duplicate data. Congestion happens when the finite buffer memory gets packed, forcing additional data to be lost. This wastes the sensor nodes’ communication and energy resources, as well as lowering the event detection reliability due to packet drops. A congestion control system based on the optimal rate is developed to deliver energy-efficient transmissions. To optimise power usage throughout the system, a rate-based congestion management technique focusing on cluster routing is proposed. The rate regulation technique maximizes the throughput, extending the lifespan of the network over a longer sampling period. The M-GEAR protocol clusters the nodes at first. The rate management is then carried out with the help of the firefly optimization approach, which is designed for the high packet delivery aspect. Ultimately, M-Gear is used to carry out routing process in order to deliver packets with the maximum potential throughput and the optimized energy.
{"title":"Energy-Efficient Routing Protocol for Congestion Control in Wireless Sensor Network","authors":"Bhumika Gupta, K. K. Gola, Narayan Jee, Pratibha Dimri","doi":"10.1109/wispnet54241.2022.9767126","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767126","url":null,"abstract":"Congestion is a topic that is still mainly unresolved and little addressed in Wireless Sensor Networks. When a mote receives excess data more than it can handle, it must buffer the redundant or duplicate data. Congestion happens when the finite buffer memory gets packed, forcing additional data to be lost. This wastes the sensor nodes’ communication and energy resources, as well as lowering the event detection reliability due to packet drops. A congestion control system based on the optimal rate is developed to deliver energy-efficient transmissions. To optimise power usage throughout the system, a rate-based congestion management technique focusing on cluster routing is proposed. The rate regulation technique maximizes the throughput, extending the lifespan of the network over a longer sampling period. The M-GEAR protocol clusters the nodes at first. The rate management is then carried out with the help of the firefly optimization approach, which is designed for the high packet delivery aspect. Ultimately, M-Gear is used to carry out routing process in order to deliver packets with the maximum potential throughput and the optimized energy.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116070693","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 : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767164
Raghavendra C., K. K, S. P, S. C., Harika G.
A Semi-Cylindrical Dielectric Resonator Antenna (SCDRA) is designed to observe the radiation pattern and field distribution using boundary conditions. When the Semi-Cylindrical Dielectric Resonator antenna is fed with a coaxial probe, it makes a dielectric resonator antenna to increase the gain and directional radiation properties with circular polarization. It is observed that the antenna covers a bandwidth of sub-6 GHz frequency and radiates with an efficiency greater than 75% in the entire frequency band. The proposed semi-cylindrical dielectric resonator antenna can be used in 5th generation applications like emergency communications, fixed satellite communications, and smart devices.
{"title":"Design of Circularly Polarized Semi-Cylindrical Dielectric Resonator Antenna at Sub 6 GHz Frequency for 5G Applications","authors":"Raghavendra C., K. K, S. P, S. C., Harika G.","doi":"10.1109/wispnet54241.2022.9767164","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767164","url":null,"abstract":"A Semi-Cylindrical Dielectric Resonator Antenna (SCDRA) is designed to observe the radiation pattern and field distribution using boundary conditions. When the Semi-Cylindrical Dielectric Resonator antenna is fed with a coaxial probe, it makes a dielectric resonator antenna to increase the gain and directional radiation properties with circular polarization. It is observed that the antenna covers a bandwidth of sub-6 GHz frequency and radiates with an efficiency greater than 75% in the entire frequency band. The proposed semi-cylindrical dielectric resonator antenna can be used in 5th generation applications like emergency communications, fixed satellite communications, and smart devices.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132385367","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 : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767114
P. Satyanarayana, Sa P. Teja Venkata, P. R. Kumar, Varma S. Girish Kumar, M.D. Zulfath Aamina
A Network consisting of sensor nodes is referred to as Wireless Sensor Network. In this Network the sensor nodes are positioned in geographical locations or concerned regions for monitoring of respective physical conditions. Environmental sensing, health care surveillance, border surveillance, forest monitoring are few of the applied fields of wireless sensor networks. The key challenge will be the energy utilization. To overcome this challenge numerous algorithms have been proposed. These various algorithms proposed are cluster-based algorithms which contribute an answer for the energy utilization problem. The working of clustering algorithm is explained as follows. Initially, the algorithm divides the network into cells say clusters. Then, the genetic algorithm comes into picture so that the optimal numbers of nodes are determined in a network. Then these nodes are placed in the environment, the chromosome length is set equal to number of nodes so that it may have slow convergence. Due to this there will be reduction in the chromosome length and so that we can reach the optimal solution due to swift convergence. Conversely, K-Means algorithm is used after setting up the cluster heads in each chromosome, those are delegated as the early points for the algorithm which is used for speed clustering procedure.
{"title":"Implementation of modified Cluster Based Routing Algorithm to Enhance QoS for Wireless Sensor Networks","authors":"P. Satyanarayana, Sa P. Teja Venkata, P. R. Kumar, Varma S. Girish Kumar, M.D. Zulfath Aamina","doi":"10.1109/wispnet54241.2022.9767114","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767114","url":null,"abstract":"A Network consisting of sensor nodes is referred to as Wireless Sensor Network. In this Network the sensor nodes are positioned in geographical locations or concerned regions for monitoring of respective physical conditions. Environmental sensing, health care surveillance, border surveillance, forest monitoring are few of the applied fields of wireless sensor networks. The key challenge will be the energy utilization. To overcome this challenge numerous algorithms have been proposed. These various algorithms proposed are cluster-based algorithms which contribute an answer for the energy utilization problem. The working of clustering algorithm is explained as follows. Initially, the algorithm divides the network into cells say clusters. Then, the genetic algorithm comes into picture so that the optimal numbers of nodes are determined in a network. Then these nodes are placed in the environment, the chromosome length is set equal to number of nodes so that it may have slow convergence. Due to this there will be reduction in the chromosome length and so that we can reach the optimal solution due to swift convergence. Conversely, K-Means algorithm is used after setting up the cluster heads in each chromosome, those are delegated as the early points for the algorithm which is used for speed clustering procedure.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123614189","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 : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767130
Pranav S. Bala Naga, P. Hari, R. Sinduja, Siddharth Prathap, M. Ganesan
In the emerging field of mobile robotics, Simultaneous Localization and Mapping (SLAM) of robots play an increasingly important role. In spite of the availability of various algorithms and methodologies for SLAM in mobile robots, this field still faces a lot of difficulties in detecting multiple objects and mapping. In this paper, we propose a method to determine the position of mobile robots and their navigation to establish an outline map of the environment when no previous knowledge of its location is available in a highly effective and cost-efficient manner. This proposed method primarily uses an ultrasonic sensor, RGB-720p camera, motor drivers and a Raspberry Pi module for processing the extracted data. Further, this method can be extensively used even in outdoor environments like hospitals, bio-medical institutions, etc., where robots are required.
{"title":"Realization of SLAM and Object Detection using Ultrasonic Sensor and RGB-HD Camera","authors":"Pranav S. Bala Naga, P. Hari, R. Sinduja, Siddharth Prathap, M. Ganesan","doi":"10.1109/wispnet54241.2022.9767130","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767130","url":null,"abstract":"In the emerging field of mobile robotics, Simultaneous Localization and Mapping (SLAM) of robots play an increasingly important role. In spite of the availability of various algorithms and methodologies for SLAM in mobile robots, this field still faces a lot of difficulties in detecting multiple objects and mapping. In this paper, we propose a method to determine the position of mobile robots and their navigation to establish an outline map of the environment when no previous knowledge of its location is available in a highly effective and cost-efficient manner. This proposed method primarily uses an ultrasonic sensor, RGB-720p camera, motor drivers and a Raspberry Pi module for processing the extracted data. Further, this method can be extensively used even in outdoor environments like hospitals, bio-medical institutions, etc., where robots are required.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116533852","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 : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767105
Lekha Kannappan, S. Palaniswamy, M. Kanagasabai, Sachin Kumar, R. T. Rao, Thennarasi Govindan
This paper presents an 8-port 3-D MIMO diversity antenna designed for sub-6 GHz band. It shows $-mathbf{10dB}$ impedance bandwidth over the frequency of 3.2-6 GHz. The size of the unit cell is 30 $times 30times 0.76text{mm}^{3}$ and it is developed on Rogers 5880 substrate. The unit element is augmented into 8 port MIMO antenna. The MIMO antenna's footprint is $66times 66$ mm 2. The elements are placed right-angled to each other for better isolation. It also helps in achieving polarization diversity with six polarization vectors. The isolation is found to be greater than 20 dB. The peak efficiency and gain are respectively 98 % and 3.3 dBi. The MIMO characteristic study results in TARC value less than $-mathbf{10 dB}$, CCL value less than 0.15 bits/s/Hz, ECC $boldsymbol{ < 0.003}$, and DG $boldsymbol{ > 9.85}$. The stability of the antenna in automotive environment is checked using housing effects.
{"title":"Sub-6 GHz Eight-Port 3-D Vehicular Antenna","authors":"Lekha Kannappan, S. Palaniswamy, M. Kanagasabai, Sachin Kumar, R. T. Rao, Thennarasi Govindan","doi":"10.1109/wispnet54241.2022.9767105","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767105","url":null,"abstract":"This paper presents an 8-port 3-D MIMO diversity antenna designed for sub-6 GHz band. It shows $-mathbf{10dB}$ impedance bandwidth over the frequency of 3.2-6 GHz. The size of the unit cell is 30 $times 30times 0.76text{mm}^{3}$ and it is developed on Rogers 5880 substrate. The unit element is augmented into 8 port MIMO antenna. The MIMO antenna's footprint is $66times 66$ mm 2. The elements are placed right-angled to each other for better isolation. It also helps in achieving polarization diversity with six polarization vectors. The isolation is found to be greater than 20 dB. The peak efficiency and gain are respectively 98 % and 3.3 dBi. The MIMO characteristic study results in TARC value less than $-mathbf{10 dB}$, CCL value less than 0.15 bits/s/Hz, ECC $boldsymbol{ < 0.003}$, and DG $boldsymbol{ > 9.85}$. The stability of the antenna in automotive environment is checked using housing effects.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124638299","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}
Cognitive Radio and 5G are two emanating technologies, which empower the wireless data transmission. The need for more bandwidth and its utility will demand more spectrum resulting in the integration of CR in 5G networks. The potentiality of multi-hop transmission is now unleashed and routing performances are being improved with various algorithms and Optimization techniques for Multicast Wireless Cognitive Networks. Though the spectral utilization and through-put have been maximized, the time-varying characteristics of the channel is a key challenge that has to be resolved. Here, the main objective is to design the Opportunistic Cooperative Cognitive Multicast Routing Protocol (OCCMRP) that includes four stages, the Real-Time Spectrum Sensing, Capacity based Channel allocation, Optimized Least Cost Routing and Optimal Relay Selection. Further, to obtain secured performance over the computed MST Cooperative route, Differential Decode-Amplify and Forward technique is performed. Simulation results show that the proposed Differential Decode-Amplify and Forward Routing (DAF-MR) with Multi-channel allocation has 9% better Packet Delivery Ratio and 60% less Transmission Delay over the other legacy protocols.
{"title":"Opportunistic Cooperative Cognitive Multicast Routing Protocol for Ad Hoc Networks","authors":"Madhumitha Jayaram, Bhagyaveni Marcharla Anjaneyulu","doi":"10.1109/wispnet54241.2022.9767116","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767116","url":null,"abstract":"Cognitive Radio and 5G are two emanating technologies, which empower the wireless data transmission. The need for more bandwidth and its utility will demand more spectrum resulting in the integration of CR in 5G networks. The potentiality of multi-hop transmission is now unleashed and routing performances are being improved with various algorithms and Optimization techniques for Multicast Wireless Cognitive Networks. Though the spectral utilization and through-put have been maximized, the time-varying characteristics of the channel is a key challenge that has to be resolved. Here, the main objective is to design the Opportunistic Cooperative Cognitive Multicast Routing Protocol (OCCMRP) that includes four stages, the Real-Time Spectrum Sensing, Capacity based Channel allocation, Optimized Least Cost Routing and Optimal Relay Selection. Further, to obtain secured performance over the computed MST Cooperative route, Differential Decode-Amplify and Forward technique is performed. Simulation results show that the proposed Differential Decode-Amplify and Forward Routing (DAF-MR) with Multi-channel allocation has 9% better Packet Delivery Ratio and 60% less Transmission Delay over the other legacy protocols.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125390769","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 : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767161
Pallab Jyoti Dutta H., D. R. Neog, Bhuyan M. K., M. Das, Lashkar R. H.
Hand gesture is an important component of non-verbal communication, and the appropriate categorization of the gestures is quintessential for fruitful communication. Hand gestures are used in many human-computer interfaces for their natural and simplistic contactless way of conveying instruction to the interface. However, the recognition of hand gestures is complicated by numerous factors. This paper addresses a few issues by proposing a two-stage recognition framework that uses a hand joint localization technique. Firstly, the proposed method predicts hand keypoints that localize the region of interest by encompassing the hand region through a bounding box. Subsequently, this region of interest is used in gesture recognizing. The proposed work uses only one input modality-RGB image and performs phenomenally despite background clutter and illumination variation.
{"title":"Two-Stage Hand Gesture Recognition based on Hand Keypoints Localization","authors":"Pallab Jyoti Dutta H., D. R. Neog, Bhuyan M. K., M. Das, Lashkar R. H.","doi":"10.1109/wispnet54241.2022.9767161","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767161","url":null,"abstract":"Hand gesture is an important component of non-verbal communication, and the appropriate categorization of the gestures is quintessential for fruitful communication. Hand gestures are used in many human-computer interfaces for their natural and simplistic contactless way of conveying instruction to the interface. However, the recognition of hand gestures is complicated by numerous factors. This paper addresses a few issues by proposing a two-stage recognition framework that uses a hand joint localization technique. Firstly, the proposed method predicts hand keypoints that localize the region of interest by encompassing the hand region through a bounding box. Subsequently, this region of interest is used in gesture recognizing. The proposed work uses only one input modality-RGB image and performs phenomenally despite background clutter and illumination variation.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121086551","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 : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767170
R. M, Divija M.
Majority of the ranchers utilize enormous parts of cultivating area and it turns out to be exceptionally hard to reach and track each edge of huge terrains. At some point, there is a chance of lopsided water monetary misfortunes. Smart Irrigation system modules utilizing the latest IoT based sensors with optimal communication will be very much useful for efficient cultivation. The Smart irrigation-based system module is one such useful module, which has pulled in the interest of numerous specialists in this emerging area. Recent developments are focused on the development of IoT based smart irrigation modules for Controlled Environment Agriculture (CEA). An affordable and simple type of system module is developed by using Arduino-based modules for the irrigation controller system framework. These Arduino-based irrigation modules are helpful to manage different ecological factors like dampness, temperature, and measure of water needed by the harvests. Different sensors like water stream sensors and soil dampness sensors are used as part of the system module prototype development. Reports are gathered and analyzed by the Arduino-based controller for the standard estimations of various factors needed by harvest. In this paper, a NodeMCU based smart irrigation module is developed using sensors like Soil moisture sensor, Temperature sensor, and ESP8266 WiFi Module and tested.
{"title":"IoT based Smart Irrigation Module for Smart Cultivation","authors":"R. M, Divija M.","doi":"10.1109/wispnet54241.2022.9767170","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767170","url":null,"abstract":"Majority of the ranchers utilize enormous parts of cultivating area and it turns out to be exceptionally hard to reach and track each edge of huge terrains. At some point, there is a chance of lopsided water monetary misfortunes. Smart Irrigation system modules utilizing the latest IoT based sensors with optimal communication will be very much useful for efficient cultivation. The Smart irrigation-based system module is one such useful module, which has pulled in the interest of numerous specialists in this emerging area. Recent developments are focused on the development of IoT based smart irrigation modules for Controlled Environment Agriculture (CEA). An affordable and simple type of system module is developed by using Arduino-based modules for the irrigation controller system framework. These Arduino-based irrigation modules are helpful to manage different ecological factors like dampness, temperature, and measure of water needed by the harvests. Different sensors like water stream sensors and soil dampness sensors are used as part of the system module prototype development. Reports are gathered and analyzed by the Arduino-based controller for the standard estimations of various factors needed by harvest. In this paper, a NodeMCU based smart irrigation module is developed using sensors like Soil moisture sensor, Temperature sensor, and ESP8266 WiFi Module and tested.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126604487","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 : 2022-03-24DOI: 10.1109/wispnet54241.2022.9767121
A. Sameera, V. Samuktha, T. Akash, M. Sabeshnav, S. Veni
One of the most promising fields where the technology of deep learning and CNN can thrive are the cosmetic and dermatology industries. Detection of conditions like premature ageing can be made easy by deep learning procedures like facial detection and recognition. This project is based on improving the technology principally in these domains. A deep learning model utilizing CNNs is built, and the network is equipped with hand-crafted characteristics like wrinkles, acne and blemishes. The model will be able to distinguish these features concurrently and has diverse applications. It is computationally efficient compared to previous models, and it uses special convolution and pooling operations and performs parameter shifting. An overall accuracy of 94.11 % was achieved.
{"title":"Real Time Detection of the Various Sign of Ageing Using Deep Learning","authors":"A. Sameera, V. Samuktha, T. Akash, M. Sabeshnav, S. Veni","doi":"10.1109/wispnet54241.2022.9767121","DOIUrl":"https://doi.org/10.1109/wispnet54241.2022.9767121","url":null,"abstract":"One of the most promising fields where the technology of deep learning and CNN can thrive are the cosmetic and dermatology industries. Detection of conditions like premature ageing can be made easy by deep learning procedures like facial detection and recognition. This project is based on improving the technology principally in these domains. A deep learning model utilizing CNNs is built, and the network is equipped with hand-crafted characteristics like wrinkles, acne and blemishes. The model will be able to distinguish these features concurrently and has diverse applications. It is computationally efficient compared to previous models, and it uses special convolution and pooling operations and performs parameter shifting. An overall accuracy of 94.11 % was achieved.","PeriodicalId":432794,"journal":{"name":"2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132282167","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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