2023 4th International Conference on Signal Processing and Communication (ICSPC)最新文献

Quad SRR Slot Dual band Antenna for n48/n78 band and WLAN Applications 四路SRR槽双频天线，用于n48/n78频段和WLAN应用

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125882

J. A. Janet, G. S. Let, Saffrin S Suja, G. Sai Kishore, G. Yaswanthi, Amala A Anto

引用次数: 0

A Voice-Controlled Robotic Arm for Material Handling 用于物料搬运的声控机械臂

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125875

M. Saravanan, C. Saran Karthik, P. Sri Ragavendra Balaji, J. Surya Prasath, A. Harish Ramanan, P. Naveen

引用次数: 0

Priority Queue-based Extractive Text Summarizer 基于优先级队列的提取文本摘要器

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125761

V. S. Solomi, Ch. Keertana Sarvani, N. Supriya

{"title":"Priority Queue-based Extractive Text Summarizer","authors":"V. S. Solomi, Ch. Keertana Sarvani, N. Supriya","doi":"10.1109/ICSPC57692.2023.10125761","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125761","url":null,"abstract":"Text summarization simply means creating a summary from a text document while retaining its main ideas and points of contention. Text summarization is completely aimed to generate a coherent and precise synopsis of the text verbal document. Generating a coherent summary for a large text is a time-consuming task, this paper proposes a novel generic text summarizer for the English language that can accept a maximum input of 160-170 words and generate a summary of 60-80 words, which retains the original context of the input text. This model utilizes a heap queue algorithm for text summarization. The heap queue helps in preserving the phrases from an input text, by skimming the top-scoring sentences, making it easier to be extracted in terms of importance. The input text is tokenized aptly, with all the stop words removed. Further word frequency is calculated, which is used to calculate sentence score, the words are joined together to form a coherent sentence, a summary that uses the summary’s highest-scoring sentences. The model is tested using various scoring methods available and has obtained an accuracy of 86 percent. It is also observed that the cosine similarity for the model-generated output and manual reference summary is 0.86. The proposed model is a generic text summarizer that can be used for any type of data summarization, irrespective of its domain.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125094669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning Model for Disease Prediction Using Gastrointestinal-Endoscopic Images 利用消化道内窥镜图像进行疾病预测的深度学习模型

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10126043

Slobodan Iyer, D. Narmadha, G. Sundar, S. Priya, K. Sagayam

{"title":"Deep Learning Model for Disease Prediction Using Gastrointestinal-Endoscopic Images","authors":"Slobodan Iyer, D. Narmadha, G. Sundar, S. Priya, K. Sagayam","doi":"10.1109/ICSPC57692.2023.10126043","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10126043","url":null,"abstract":"Modern-day science has helped in the cure of such anomalies and with the advancement in computer aided treatment, we can detect such anomalies at an earlier stage. This paper is based on a deep learning-based approach for early detection of disease, using GI-Endoscopic images. The work done is using the readily available KVASIR data set containing 8000 images categorized into a structured group of 8. In order to reduce the noise, we manually treated the data set beforehand using equal amounts of masking techniques in each category. In addition, we expanded the data set to increase accuracy, we used the previously accessible models, we increased parameters by adding layers, and we applied transfer learning to get a higher accuracy compared to the prior models. In order to speed up calculation and increase accuracy, we can also apply this model to WCE procedures by running the data set through it. Our model employs a very contemporary technique to categories, enhancing the model to live frames that are categorized as healthy or unhealthy achieving 96.89% accuracy.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126625489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Compact Multiband Filter for Wireless Communication 用于无线通信的紧凑型多带滤波器

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125961

V. Mariselvam, D. Dhanush, G. Bharanidharan, S. Dinesh Kumar

引用次数: 0

Deep Neural Networks based Detection and Analysis of Fake Tweets 基于深度神经网络的假推文检测与分析

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125815

G. Mareeswari, Erana Veerappa Dinesh

{"title":"Deep Neural Networks based Detection and Analysis of Fake Tweets","authors":"G. Mareeswari, Erana Veerappa Dinesh","doi":"10.1109/ICSPC57692.2023.10125815","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125815","url":null,"abstract":"Social networking is a wedge for interchanging thoughts, individual perspectives and views but without adversely affecting the sentimental, religious, or maybe private thoughts of the group. Furthermore, the spread of fake news flashes continues to be a pattern on social networking. This paper discusses a hybrid method used towards the control over this kind of ill intentions by developing a method that analysis and also detects posts, toxic comments, or fake news inside any multimedia or text format. This particular paper will help to identify the precision of fake news utilizing Deep Neural Networks. News articles extracted from Twitter is represented as embedding vectors. The hybridized Convolutional Neural Network and LSTM (Long-Short Term Memory) framework is built to learn the contextual dependencies between the words present in news articles. We compare many methods for detecting fake news. The Natural Language Interference (NLI) designs may also be qualified. The information compilation, interpretation, and then tests procedure are clarified completely along with existing different study analyses in the identity of linguistic variants to come down with truthful and false information. Next, we check as well as train a pair of learning breakthroughs to produce exact fake information detectors.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121315565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Implementation of Low Power Unidirectional Shift Register 低功耗单向移位寄存器的设计与实现

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10126062

G. C. Reddy, Ch. Nikhilesh Reddy, Vandana Bandi, M. Sreenivasulu, D. Shylu

引用次数: 0

Improved MFO Algorithm Based PTS Scheme in OFDM Systems For PAPR Reduction 基于改进MFO算法的PTS方案在OFDM系统中降低PAPR

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125973

P. Priyanka, Rajiya Begum Shaik, Kumar P Vijaya, Prasanth S Sasi, P. Ruthvik, Raja A Ravi

{"title":"Improved MFO Algorithm Based PTS Scheme in OFDM Systems For PAPR Reduction","authors":"P. Priyanka, Rajiya Begum Shaik, Kumar P Vijaya, Prasanth S Sasi, P. Ruthvik, Raja A Ravi","doi":"10.1109/ICSPC57692.2023.10125973","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125973","url":null,"abstract":"Orthogonal frequency division multiplexing (OFDM) is a multicarrier modulation method employed in wireless communications. To achieve High-speed transmission over fading channels with frequency selection, the OFDM approach is frequently used. The peak-to-average power ratio is a measure of how dynamically the OFDM signals vary in amplitude over time because of their multicarrier nature (PAPR). When PAPR is high, the OFDM signal will clip when it is amplified by a non-linear high-power amplifier (HPA), which will reduce performance. It also increases the bit error rate (BER) and power spectral density (PSD). It was suggested that partial transmit sequence (PTS) might enhance OFDM systems PAPR performance. But by adding it, the system’s computational complexity is significantly increased as in this process the best solution has to be selected among number of solutions which is complex and time consuming. So, we need an optimization algorithm to select the best solution. Hence, we proposed a PTS PAPR reduction scheme optimized by moth flame optimization (MFO) algorithm. Previously we had to manually choose the samples, but now by using MFO algorithm the system automatically chooses the samples, which saves time and reduces computational complexity of PTS scheme. This technique provides us with samples that have lower PAPR levels in OFDM systems. So, this proposed method gives us the signals with low PAPR, and reduces the BER and PSD.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117310596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-time Classification of Vehicle Logos on Arduino Nano BLE using Edge Impulse 基于Arduino Nano BLE的基于边缘脉冲的车辆标识实时分类

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10126068

Desu Abhinay, Sattaru Vijay Vighnesh, Laxmi Kantham Durgam, R. K. Jatoth

引用次数: 0

Revolutionizing Poultry Farming with IoT: An Automated Management System 用物联网革新家禽养殖:自动化管理系统

2023 4th International Conference on Signal Processing and Communication (ICSPC) Pub Date : 2023-03-23 DOI: 10.1109/ICSPC57692.2023.10125606

R. Murugeswari, P. Jegadeesh, G. Kumar, Sk. Nazim Babu, B. Samar

{"title":"Revolutionizing Poultry Farming with IoT: An Automated Management System","authors":"R. Murugeswari, P. Jegadeesh, G. Kumar, Sk. Nazim Babu, B. Samar","doi":"10.1109/ICSPC57692.2023.10125606","DOIUrl":"https://doi.org/10.1109/ICSPC57692.2023.10125606","url":null,"abstract":"There is poor knowledge among farmers regarding smart poultry farms, no proper remote monitoring application to monitor the farms, no proper requirements regarding automatic feeding and watering of the chickens, and no good measures taken in terms of providing security to the farms. So, for all these problems, our proposed system can come up with a solution that provides security, automatic feeding, and watering, observing temperature changes, detecting dust, and removing it from the farm automatically. Due to this, a lot of work is saved for the farmers, and manpower is also reduced. The recommended approach provides complete operational protection and lessens the effects of environmental variability. Maintain the flock’s health, keep an eye on physiological elements including the farm’s temperature, humidity and supervise the flock sparingly. Due to this, it is tremendously convenient to be able to easily access and control the automated system remotely using a handheld mobile device. The technique also optimizes poultry production, increases process speed, and better utilizes resources.","PeriodicalId":109624,"journal":{"name":"2023 4th International Conference on Signal Processing and Communication (ICSPC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123926971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1