Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing最新文献

A Literature Survey of Drunk Driving Detection Approaches 酒驾检测方法的文献综述

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing Pub Date : 2022-08-04 DOI: 10.1145/3549206.3549268

Amit Kumar, Ajay Kumar

引用次数: 1

Density based geospatial clustering: Methods, Applications and Future Directions 基于密度的地理空间聚类:方法、应用和未来方向

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing Pub Date : 2022-08-04 DOI: 10.1145/3549206.3549278

Richik Kuila, Prathamesh Sengupta, M. Rout, Rabindra Kumar Barik

{"title":"Density based geospatial clustering: Methods, Applications and Future Directions","authors":"Richik Kuila, Prathamesh Sengupta, M. Rout, Rabindra Kumar Barik","doi":"10.1145/3549206.3549278","DOIUrl":"https://doi.org/10.1145/3549206.3549278","url":null,"abstract":"The emergence of the novel corona virus disease (COVID-19) since 2019 has been a cause of significant concern for people throughout the world. While tremendous effort has been put in to it by healthcare facilities, both public and private, it would not be a stretch to state that the resources allotted were not enough to handle the floods of covid and the non-covid patients at the same time. As the entire world was under lockdown, it was considerably tougher for people to move around. This meant getting check-ups for covid was fairly tough. Thus, building up many hospital camps around a city became important. In this article, the locations of different healthcare institutions and residential flats in and around the city of Bhubaneswar were analysed. Clusters were generated out of highly dense regions utilising a number of unsupervised learning density based clustering techniques and the best model was picked among them. Folium leaflet maps in Python were used to show the clusters created from the best performing clustering method. This would allow us to collect crucial information identifying areas in severe need of medical attention. Thus, resources can be divided evenly among the population with the information acquired.","PeriodicalId":199675,"journal":{"name":"Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125121534","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

Q-learning with function Approximator for clustering based Optimal resource Allocation in fog environment 基于函数逼近的q学习雾环境下聚类资源优化分配

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing Pub Date : 2022-08-04 DOI: 10.1145/3549206.3549230

Chanchal Ahlawat, R. Krishnamurthi

{"title":"Q-learning with function Approximator for clustering based Optimal resource Allocation in fog environment","authors":"Chanchal Ahlawat, R. Krishnamurthi","doi":"10.1145/3549206.3549230","DOIUrl":"https://doi.org/10.1145/3549206.3549230","url":null,"abstract":"Fog computing is a new paradigm for delivering services close to the user. The exponential growth of IoT devices and big data complicates fog resource distribution. Inefficient resource allocation can result in resource scarcity and the inability to finish a task assignment on time. As a result, correct allocation is required to improve the efficiency of fog resources. Resource allocation is a difficult task with heterogeneous constraint resources. As fog computing deals with real-time data, therefore, needs resource allocation in real-time that increases the necessity of having appropriate and optimal resource allocation in real-time. Therefore, this paper targets optimal resource allocation. To address the resource allocation problem, Q-learning with function Approximator for clustering based Optimal resource Allocation (QL(FA)-CORA) model is designed, considering the problem as a decision making problem, reinforcement learning method is used to solve it. Problem formulation is done using the Markov decision process. Clustering is done to reduce the service time. Proposed an optimal resource allocation using the QL function approximator (ORA- QLFA) algorithm. to enhance the efficiency and performance of the proposed fog environment. Simulations are done to evaluate the validation of the proposed algorithm. Also, comparisons are made with linear Q networks using different parameters such as expected discounted return, maximum steps taken by the fog resource controller, etc. Simulation results show the proposed algorithm performs better in all the cases and converged to optimal results after a few iterations rather than a linear Q network.","PeriodicalId":199675,"journal":{"name":"Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115098860","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

Towards improving Disfluency Detection from Speech using Shifted Delta Cepstral Coefficients 利用移位δ倒谱系数改进语音不流利度检测

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing Pub Date : 2022-08-04 DOI: 10.1145/3549206.3549269

Utkarsh Mehrotra, Sparsh Garg, K. Gurugubelli, A. Vuppala

引用次数: 0

A Deep Learning approach for detection and analysis of respiratory infections in covid-19 patients using RGB and infrared images. 基于RGB和红外图像的covid-19患者呼吸道感染检测和分析的深度学习方法

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing Pub Date : 2022-08-04 DOI: 10.1145/3549206.3549272

Bhavya Avuthu, Naveen Yenuganti, Swathi Kasikala, A. Viswanath, S. Sarath

引用次数: 2

Checkpointing à la Young/Daly: An Overview 检查点(la Young/Daly):概述

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing Pub Date : 2022-08-04 DOI: 10.1145/3549206.3549328

A. Benoit, Yishu Du, T. Hérault, L. Marchal, Guillaume Pallez, Lucas Perotin, Y. Robert, Hongyang Sun, F. Vivien

引用次数: 1

Improving Classifier Efficiency by Expanding Number of Functions in the Dataset 通过扩展数据集中的函数数来提高分类器效率

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing Pub Date : 2022-08-04 DOI: 10.1145/3549206.3549208

Sujata Gudge, Preetam Suman, Varshali Jaiswal, D. Bisen

引用次数: 1

Performance investigation of MZM based RoF link by employing Digital and Analog data transmission 采用数字和模拟数据传输的MZM RoF链路性能研究

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing Pub Date : 2022-08-04 DOI: 10.1145/3549206.3549316

Aayushi Gupta, Parvin Kumar, V. Sachan, Balram Tamrakar

{"title":"Performance investigation of MZM based RoF link by employing Digital and Analog data transmission","authors":"Aayushi Gupta, Parvin Kumar, V. Sachan, Balram Tamrakar","doi":"10.1145/3549206.3549316","DOIUrl":"https://doi.org/10.1145/3549206.3549316","url":null,"abstract":"In current scenario, need of effective wireless transmission increases rapidly, which can be fulfilled by Radio over Fiber (RoF) link. When an RoF link is designed to transmit both analog and digital data, the performance of the link is totally changed, providing optimum benefits in each transmission. In this paper, the performance of both digital and analog data transmission over different fiber lengths has been investigated in which digital signal is generated through NRZ line coding and analog signal is transmitted at 10 GHz frequency by employing Mach Zehnder Modulator (MZM). The performance of digital RoF link is analyzed through eye patterns which show Bit Error Rate (BER) and Quality factor (Q-factor) of the received signal. The findings of digital data transmission are obtained which shows that Q-factor varies from 22.04 dB to 21.23 dB for fiber length 1km to 30km. The performance of analog data transmission is analyzed through peak Signal-to-Noise Ratio (SNR) value and the peak SNR value is obtained, which varies from -95.30 dB to -106.31 dB for fiber length 1km to 30km. The reduction in SNR has been found as 11.01 dB concerning the optical fiber impairments from 1km to 30km.","PeriodicalId":199675,"journal":{"name":"Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133348996","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

AI-driven Real-time System for Land Surveillance and Reconnaissance 人工智能驱动的陆地监视和侦察实时系统

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing Pub Date : 2022-08-04 DOI: 10.1145/3549206.3549273

Shaikh F. Shahnoor, Kishanlal Suthar, Ravi Kumar, Manisha Rathore, R. Biradar, Kartik E. Cholachgudda

{"title":"AI-driven Real-time System for Land Surveillance and Reconnaissance","authors":"Shaikh F. Shahnoor, Kishanlal Suthar, Ravi Kumar, Manisha Rathore, R. Biradar, Kartik E. Cholachgudda","doi":"10.1145/3549206.3549273","DOIUrl":"https://doi.org/10.1145/3549206.3549273","url":null,"abstract":"Detection of threat elements during dangerous land missions such as rescue operations, bomb disposal, surveillance and reconnaissance using an unmanned ground vehicle (UGV) plays a significant role in technological warfare. Accurate and rapid detection of enemy arsenal and threats can help better plan and deploy military armaments while greatly reducing human casualty and economic losses. Unmanned ground systems with good maneuverability, superior wireless communication, and powerful multi-sensor and data processing capabilities can significantly advantage over the enemies. One of the key data processing tasks, i.e., land-warfare threat detection, is developed and tested in this paper. The goal is to identify and differentiate between threats in a warfare scenario. Four such threats have been defined and used to develop the detection algorithm for the study: soldiers, tanks, tents, and helicopters. Different object detection algorithms (ODAs) such as Single Shot Detector (SSD), CenterNet and Faster R-CNN based on pre-trained Convolutional Neural Networks were tested and compared. COCO evaluation metrics were used as performance parameters to evaluate each detection algorithm on the different threats selected. The results show that CenterNet ODA performs better in evaluation and inference when compared to other ODAs, obtaining the highest mean Average Precision of 85.89% and 93.75%, respectively, at 0.5 IoU with Resent101 V1 CNN architecture. The best trade-off between all performance parameters was obtained again using CenterNet Resent101 V1 FPN. The inference was tested on a Raspberry Pi-based UGV streamed data. It was concluded that such systems have a key role in future warfare with a strong communication system and a lighter version of ODA. Further, researchers and engineers can use the work achieved in this paper to develop robust detection and data processing models and incorporate it into various applications and domains.","PeriodicalId":199675,"journal":{"name":"Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115696323","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

Transmission Gate based Keeper Control for Domino Logic Circuits 基于传输门的Domino逻辑电路Keeper控制

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing Pub Date : 2022-08-04 DOI: 10.1145/3549206.3549318

Ansuman Rout, DN Sagar, A. Angeline, P. Sasipriya

{"title":"Transmission Gate based Keeper Control for Domino Logic Circuits","authors":"Ansuman Rout, DN Sagar, A. Angeline, P. Sasipriya","doi":"10.1145/3549206.3549318","DOIUrl":"https://doi.org/10.1145/3549206.3549318","url":null,"abstract":"Design of domino logic circuits at lower technology nodes, require a keeper circuit to facilitate replenishing of dynamic node against charge leakage and charge sharing. However, this imparts reduction in operating speed and robustness. To overcome this, the proposed work focus on the design of a novel Transmission Gate based Clock Delayed Dual Keeper Domino Logic topology (TG_CDDK) and PMOS Transmission Gate based Clock Delayed Dual Keeper Domino Logic topology (PMOS_TG_CDDK) . The proposed keeper circuit comprises two keeper transistors in series and is controlled by a transmission gate configuration. Using this TG_CDDK, the keeper circuit is enabled only after a delay during the initial evaluation phase. This facilitate faster discharge of the dynamic node without any contention on the pull-down network (PDN) evaluating a TRUE condition. Further, the decrease in the feedback loop gain eliminates the aggravation of the variability effects while the circuit is continuously operated. The circuit was designed and simulated using Cadence® Virtuoso with 180nm technology library. The ADEL spectre results demonstrate 39.8% and 37.7% increase in speed in the proposed designs over the conventional domino logic and an optimal delay variability of 8.02% and 7.11% while subjected to 2000 runs using ADEXL.","PeriodicalId":199675,"journal":{"name":"Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121865285","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