2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)最新文献

{"title":"Design of Rotary Intersection at Deep Banglaw Chock","authors":"Meera Talwekar, A. Tenpe","doi":"10.1109/ICETET-SIP-2254415.2022.9791540","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791540","url":null,"abstract":"In urban areas, traffic congestion is a major problem at intersections. With the increase in traffic generation, the load on intersections goes up, and this causes jams. Pune cities traffic is increasing every day, and the city has now reached at the point of adding a new intersection at Squares. In this paper aims to resolve the problem of traffic congestion and unusual traffic delays to the traffic movement at Deep Bangla Chowk, Shivaji Nagar, Pune by suggesting the design of the rotary intersection. In this paper studied actual traffic condition of four intersections and simulated them using VISSIM Software and removing the conflicts by optimizing signal timings. Aim of project include the assessment of study of rotary intersection at Deep Bangla Chowk Pune which include site investigation, measurement present geometry of intersection, traffic volume count, then suggest the design of rotary intersection on the basis of above data to handle the present and anticipated traffic scenario at Rotary intersection at Deep Banglaw Chowk, Pune.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115535146","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}

{"title":"THE SCRUTINY OF AI, ML, BIG DATA,DEEP LEARNING AND OTHER TECHNICAL VOWS AND CALLS IN NEPHROLOGY","authors":"Mansi Sharma, Manpreet Singh Bajwa","doi":"10.1109/ICETET-SIP-2254415.2022.9791574","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791574","url":null,"abstract":"Telepathology, which was first used in the 1960s, established the possibility of data exchange and communication for diagnostic evaluation. Human kidney biopsies done on individuals with primary renal failure are the major source of benign renal histopathology data. Most AI applications are still in the conceptual design phase. From computer vision to genomic data gathering, deep learning models are progressively have been used to analyze biological data. Initiatives such as CNN, FCNN, GAN deep hierarchical learning, and recurrent neural networks seem to be well. Over the next five years, the biomedicine material is expected to quadruple every 18–24 months. Going to follow the coronavirus pandemic, digitalization of treatments to intensify, especially in those societies that are always heavily reliant on technology, With Rising numbers of biopsies, data held in archives throughout the world are hardly digitized, and metadata is not standardized. To make matters harder, the development of robust algorithms that are sensitive to inter-laboratory differences necessitates the use of multicenter samples. In biology and wellness, ethical norms and data safeguards that do not endanger patient value are badly required. The kidney domain lags below most fields in terms of big data use in studies. This void, on the other hand, presents a chance for experts to pursue a career in nephrology and have a substantial impact on the discipline.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124450944","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}

{"title":"Design of a Multistage X Band Power Amplifier","authors":"Parul Rattanpal, Sukwinder Singh","doi":"10.1109/ICETET-SIP-2254415.2022.9791713","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791713","url":null,"abstract":"This paper aims to design a multistage X band Power Amplifier design using a GaN HEMT active device from CREE-CGHV1J006D. The given amplifier is designed for a frequency 11.7 GHz. The output power of the three stage power amplifier was 4.8 W with Power Added Efficiency (PAE) close to 35%. This design is intended for space applications where a power amplifier module in the transmitter is the most power consuming device and, hence, should be able to minimize the power consumption with a better efficiency possible.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123543176","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}

{"title":"Enhancement in Dentistry using Machine Learning: A Systematic Review","authors":"Arya Patil, Madhuri A. Bhalekar, P. Dhatrak","doi":"10.1109/ICETET-SIP-2254415.2022.9791585","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791585","url":null,"abstract":"The use of Artificial Intelligence with the help of machine learning has eased the work of healthcare practitioners. This systematic review aims to find effective machine learning models to detect dental caries and oral cancer. Image datasets used in the studies ranged from 74 to 3000 images. Different researchers used different approaches and different evaluation metrics to evaluate their studies with Accuracy and Area Under the Curve (AUC) being the most common metrics. The current implementations of machine learning models lay a foundation to reduce the time and effort required to develop newer models for future developments. Overcoming limitations of small datasets, data integration, and dataset standardization will increase the performance and accuracy of the models and will help machine learning become an integral part of dentistry.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128310264","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}

{"title":"Range Based Localization using Least Square Method in WSN","authors":"Basavaraj K. Madagouda, R. Sumathi","doi":"10.1109/ICETET-SIP-2254415.2022.9791708","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791708","url":null,"abstract":"A substantial number of novel wireless sensor network (WSN) applications need effective sensor node position estimation. This would allow for the accurate identification of key event sites. With many anchor nodes, several range-based localization techniques have been developed. We present a unique localization approach based on Range-based measurements and signal transmission to numerous Anchor nodes in this research. To estimate the position of static sensor nodes, it uses the least square approach. The suggested algorithm's usefulness is shown by simulation results.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127265810","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}

{"title":"Performance Evaluation of Machine Learning and Deep Learning Models for Temperature Prediction in Poultry Farming","authors":"V. Goyal, Ajay Yadav, Rahul Mukherjee","doi":"10.1109/ICETET-SIP-2254415.2022.9791771","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791771","url":null,"abstract":"Temperature is a commonly used environmental factor that directly impacts both health of chicks and production in poultry farming. The cold weather makes the environment more conductive for certain infection diseases like Newcastle and Avian influenza, whereas heat stress or high temperature cause poor food efficiency and decreased production. Hence, the prediction of temperature with the support of machine learning (ML) and deep learning (DL) models in advance is advantageous for poultry farming. Real-time temperature data is captured with the support of Internet of Things (IoT) nodes and sent to clouds by wireless communication; this data is analyzed using various machine learning models on clouds, and decisions are made based on the knowledge extracted from received data. In this article, different machine learning (Random Forest, Linear Regression) and deep learning models (LSTM, BiLSTM) are used to process the temperature and provide temperature predictions after every 10 mins. All the models are compared on the various performance evaluation factors like mean absolute error (MAE), root mean square error (RMSE), determination coefficient (R2), and Spearman's correlation coefficient (SPCC). The comparison results show that the R2 value for random forest i.e., 0.992 is highest compared to other models. Such models with high prediction rates significantly impact the environment management decisions and production on the farm.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132963951","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}

{"title":"Color Image Restoration from Low Resolution Based on Multiscale Decomposition","authors":"A. B, H. S G, Manimegalai L, Naveenkumar M","doi":"10.1109/ICETET-SIP-2254415.2022.9791619","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791619","url":null,"abstract":"A successful method for improving the clarity of dim light image that has been compromised by unbalanced lightning is to evaluate and compress the lightning portion. Due to inaccurate calculation, some previous approaches like edges are affected in improved image. The weighted least square multi scale image decomposition model's goal is to separate the light layer as effectively as possible. Later enhancement effect is obtained by adjusting the illumination layer. The proposed decomposition model is used to the value channel in HSV space in order to avoid colour artefacts caused by illumination adjustments and reduce computing complexity. Experiments reveal that the advance approach works well with a outspread range of dim images.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132278238","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}

{"title":"Critical Analysis of Saturation Flow Rate and Affecting parameters","authors":"S. J. Rodke, S. Ghodmare, A. Deshmukh","doi":"10.1109/ICETET-SIP-2254415.2022.9791785","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791785","url":null,"abstract":"Signalized intersection has the vital importance in the traffic analysis of both arterial and urban roads. Traffic movement from through, right turning, left turning directions meet at a particular junction. These are the areas, which may give rise to conflict or congestion. The capacity of the intersection may vary due to the factors such as lane width, approach grade, categories of vehicle and road users or driving behaviors. The proper planning, design, operation, and management of urban road street network depends upon capacity of the intersection. Saturation Flow rate is one of the important parameter which may affect the capacity of any signalized intersection. It is necessary to design the signal cycle timing as per the required saturated flow of traffic. It is one of the important parameter which is considered while designing of signalized Intersection. Different researchers have given different definitions of saturation flow rate. As per the highway capacity manual saturation flow rate is the equivalent hourly rate at which vehicle can traverse a path in vehicle per hour of green time assuming green signal is provided for 100 % of time. Heterogeneous traffic flow should be considered while determining the saturation flow rate. This paper attempts to study the methodologies used at various locations for determining the saturation flow rate considering varying traffic parameters. It is also tried to identify the suitable methodology for determination of saturated flow rate and related important parameters. Based on the graphical analysis it can be stated that the parameters like headway, PCU, lane width, traffic composition, start -up lost time and Flow plays the important role for determination of saturation flow.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116216659","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}

{"title":"Design of a Blockchain based WMSN Model for Secure and Effective Health Monitoring System Deployment","authors":"Harshal Rahangdale, N. Chavhan","doi":"10.1109/ICETET-SIP-2254415.2022.9791717","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791717","url":null,"abstract":"Wireless medical sensor networks (WMSN) are special types of sensor networks that are suited for medical applications. These networks must guarantee high security with low latency to store and retrieve data with high trust levels. To meet these constraints various security measures are incorporated by WMSN designers that include data encryption, hashing, steganography, etc. These models provide high security but reduce the quality of service (QoS) due to their computational complexity. Moreover, these models have limited trustability and computational performance, due to their non-tamper proof and centralized processing characteristics. To improve the security and QoS performance of WMSN deployments, this text proposes a novel blockchain-based model that is based on a novel Proof-of-Trust and Speed (PoTS) based consensus method. This is a new consensus model developed solely for the design of the proposed WMSN, which is used to monitor the health status of patients in real-time with high security. The proposed model is capable of providing high trust, complete traceability, low delay, and distributed tamper-proof transactions. The proposed model evaluates temporal node performance and selects miner nodes that have higher trust and faster speeds. Nodes that showcased lower communication delay, with minimum packet drops and lower energy consumption were selected as miner nodes. These values assisted in the evaluation of temporal trust for every WMSN communication. Due to the incorporation of temporal trust and speed values, the model can reduce the number of redundant miner selection steps, thereby assisting in the design of an improved WMSN model. The model was tested on a wide variety of network scenarios, and it was observed to be 18% faster, with 5% lower energy consumption, and 8% better throughput than state-of-the-art methods. Furthermore, the model was also able to mitigate Sybil, Masquerading, and Spoofing attacks, which makes it highly deployable for a wide variety of network scenarios.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114268959","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}

{"title":"Design and Analysis of Low Power CMOS SRAM Cells 7T and 9T","authors":"Vibhash Choudhary, Dharmendra Singh Yadav","doi":"10.1109/ICETET-SIP-2254415.2022.9791506","DOIUrl":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791506","url":null,"abstract":"7T and 9T SRAM cells are compared by the software Cadence Virtuoso tool using 180nm technology. Designing a memory of low power consumption is a challenging concept in the present time. The average power consumption of 7T and 9T SRAM cells is compared. The main parameter of SRAM Static Noise Margin (SNM) is evaluated and properly discussed. The results show that the Write delay of 9T has the minimum delay as compared to 7T. The paper makes an attempt to perceive a more efficient and stable SRAM memory. The market demand is to pack more and more devices in a single circuit or a chip. A vision is provided to ensure that the chip does not contain any apparent fabrication defects.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122516191","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}