2022 2nd International Conference on Intelligent Technologies (CONIT)最新文献_第4页

Load Management of Economic Power Dispatch using Optimization Algorithm 基于优化算法的经济电力调度负荷管理

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847984

Ravindra M. Malkar, S. Sushanth Kumar, M. Tarambale

{"title":"Load Management of Economic Power Dispatch using Optimization Algorithm","authors":"Ravindra M. Malkar, S. Sushanth Kumar, M. Tarambale","doi":"10.1109/CONIT55038.2022.9847984","DOIUrl":"https://doi.org/10.1109/CONIT55038.2022.9847984","url":null,"abstract":"Economic Power Dispatch is a critical component of the power system network (EPD). It assigns required load to online producing units while accounting for system constraints. The fundamental purpose of EPD is to lower overall power generation costs. For example, the bi-objective Combined Emission- Economic Dispatch (CE-ED) problem addresses the environmental impacts of fossil fuel power plant emissions. The bi-objective challenge reduces both fuel costs and emissions. Generators are simulated using quadratic cost functions to match their output restrictions. The non-linear, non-convex objective functions and equality and inequality requirements make the EPD issue more feasible. Recent evolutionary algorithms have improved results, especially for complex optimization problems. These methods identify global optimum solutions in non-convex and large solution domains. Recent algorithms search the solution space at random utilising numerous candidate solutions. Evolving algorithms must be able to get answers by exploring the feasible zone rather than researching the complex region. So the optimization process is speedier and consumes less calculation time while still finding the global optimum. The traditional technique fails due to premature convergence.","PeriodicalId":270445,"journal":{"name":"2022 2nd International Conference on Intelligent Technologies (CONIT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133031063","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

Detection of Cancer in Lung CT Image Using 3D CNN 基于3D CNN的肺癌CT图像检测

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848092

Syed Amer Ali, Nikhil Vallapureddy, Sridivya Mannem, Yashwanth Gudla, V. Malathy

{"title":"Detection of Cancer in Lung CT Image Using 3D CNN","authors":"Syed Amer Ali, Nikhil Vallapureddy, Sridivya Mannem, Yashwanth Gudla, V. Malathy","doi":"10.1109/CONIT55038.2022.9848092","DOIUrl":"https://doi.org/10.1109/CONIT55038.2022.9848092","url":null,"abstract":"The use of image processing techniques to analyze CT scan pictures including lung cancer cells is gaining popularity these days. Lung illnesses are diseases that damage the lungs and weaken the respiratory system. Lung cancer is one of the top causes of death in individuals around the world. Humans have a better chance of surviving if they are detected early. The average survival rate for persons with lung cancer increases from 14 to 49 percent if the disease is detected early. While computed tomography (CT) is significantly more effective than X-ray, a full diagnosis requires the use of numerous imaging techniques to complement one another. A deep neural network is constructed and tested for detecting lung cancer from CT images. This strategy is more about diagnosing at ahead of schedule and critical stages with keen computational procedures with different noise is expected to be eliminated by detaching the CT images and calculating the survival rate which is the root idea of digital image processing. A highly linked convolution neural network was used to classify the lung image as normal or cancerous. A dataset of lung pictures is employed, with 85 percent of the photos being used for training and 15% being used for testing and classification.","PeriodicalId":270445,"journal":{"name":"2022 2nd International Conference on Intelligent Technologies (CONIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133062929","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

Dynamic Memory Manager: A memory usage Statistical Tool 动态内存管理器:一个内存使用统计工具

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847757

Avita Katal, Vitesh Sethi, Ansh Gupta, Aryan Rastogi

{"title":"Dynamic Memory Manager: A memory usage Statistical Tool","authors":"Avita Katal, Vitesh Sethi, Ansh Gupta, Aryan Rastogi","doi":"10.1109/CONIT55038.2022.9847757","DOIUrl":"https://doi.org/10.1109/CONIT55038.2022.9847757","url":null,"abstract":"Memory allocation is the process of allocating physical or virtual memory space to computer applications and processes. There are two types of memory allocation: static memory allocation and dynamic memory allocation. Static memory allocation in C allocates memory during compile time using stack. It is mainly used when the amount of memory that is required by the program is known. Once the memory is allocated using static memory allocation then the size of the memory allocated cannot change whereas dynamic memory allocation allocates memory to a process/application during its run time. It is used when the amount of memory that a program requires is unknown. It uses a heap for managing memory and the size of the memory allocated can be altered. In this paper, a dynamic memory manager is proposed in Linux OS. The proposed dynamic memory manager is based upon the internal design and implementation of malloc() and free() library functions in C. It is capable of allocating and deallocating memory to a user program/process. It also shows the memory statistics of every object malloc()-ed by a program/process that is currently in use The proposed memory manager overcomes the problem of internal fragmentation.","PeriodicalId":270445,"journal":{"name":"2022 2nd International Conference on Intelligent Technologies (CONIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133117339","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 Modelling of Speed Control of Three Phase IM based on PID Controller 基于PID控制器的三相IM速度控制设计与建模

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847693

Y. Kumar, Hemant Gupta

引用次数: 0

Imperative Methodology to Detect the Palm Gestures (American Sign Language) using Y010v5 and MediaPipe 使用Y010v5和MediaPipe检测手掌手势(美国手语)的命令式方法

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847703

Gouri Anilkumar, M. S. Fouzia, G. S. Anisha

引用次数: 2

Enhancement of Power System Security by Fuzzy based Unified Power Flow Controller 基于模糊的统一潮流控制器提高电力系统安全性

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847699

V. Rajderkar, V. Chandrakar

引用次数: 3

Edge Detection Based Medical Denoising using Wavelet Domain 基于边缘检测的小波域医学去噪

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848203

S. Singh, Shivam, I. Kumar, Jatin Lingala

{"title":"Edge Detection Based Medical Denoising using Wavelet Domain","authors":"S. Singh, Shivam, I. Kumar, Jatin Lingala","doi":"10.1109/CONIT55038.2022.9848203","DOIUrl":"https://doi.org/10.1109/CONIT55038.2022.9848203","url":null,"abstract":"In the present scenario, the entire world is doing a lot of investments in the field of medical terminology and to achieve advancement in the medical field. Updated resources and adaptability of new technology in the medical field is the key factor the entire world is looking for. Today, undoubtedly Medical Denoising has become a popular research topic, with new studies being published daily. Thus, denoising of images in medical field images has now turned out to be an important research topic for researchers. In the medical field, CT scanning is an important and commonly preferred technique. In this experiment, edge detection based on medical denoising is performed using two different edge detection operators. For image accession, multiple Computed Tomography CT images are taken from the internet and the entire experiment is carried out on those images. The identification is performed using the Canny operator and Sobel operator and further wavelet domain is implemented on those images that are generated by the above-mentioned edge operators. Further, the performance of the selected operators is evaluated using Structure Similarity Index (SSIM), Peak Signal to Noise Ratio (PSNR), and Mean Absolute Error (MAE), of the image. After the successful completion of the experiment, it was found that both the operators produce different forms of output and work completely differently from one other.","PeriodicalId":270445,"journal":{"name":"2022 2nd International Conference on Intelligent Technologies (CONIT)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114474362","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

Depth Wise Convolution on Chest X-Ray & Comparative Analysis With Transfer Learning 胸部x射线的深度智能卷积及其与迁移学习的比较分析

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9847901

Jayant Rathi, Kalp Talwadia, Hritvik Jamwal, Shailender Kumar

引用次数: 0

Robust Control of 2-DoF Helicopter System in Presence of Unmatched Disturbances & Actuator Faults 存在非匹配扰动和执行器故障的二自由度直升机系统鲁棒控制

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848199

Keyur Rathod, Mija S.J.

引用次数: 1

Coverage of Meta-Stability Using Formal Verification in Asynchronous Gray Code FIFO 异步Gray码FIFO中使用形式验证的元稳定性覆盖

2022 2nd International Conference on Intelligent Technologies (CONIT) Pub Date : 2022-06-24 DOI: 10.1109/CONIT55038.2022.9848195

Shivali, M. Khosla

{"title":"Coverage of Meta-Stability Using Formal Verification in Asynchronous Gray Code FIFO","authors":"Shivali, M. Khosla","doi":"10.1109/CONIT55038.2022.9848195","DOIUrl":"https://doi.org/10.1109/CONIT55038.2022.9848195","url":null,"abstract":"In Formal Verification Environment, setup time and hold time are not honored by formal verification tool. To analyze the impact of metastability on functionality of the design in formal verification environment, buffer has been designed. Buffer induces the delay of either ‘0’, ‘1’ or ‘2’ clock cycles leading to metastability in the pointers of Asynchronous Gray Code FIFO in formal verification environment. Reference code has been written which describe the functionality of Asynchronous Gray Code FIFO in ideal case. Using formal equivalence checking, output of FIFO obtained from design provided by the designer, is compared with the output obtained from the reference code of FIFO. Formal verification properties are written to do the verification of the design and check if the design is working as predicted specifications. Coverage written ensures no corner case is skipped which may lead to escapism of potential design bugs. The command language script containing the verification program has been run to invoke the JasperGold Tool. Comparative analysis has been done between the waveforms obtained from the design including a buffer and the design without including a buffer. If both the waveforms are not same which means metastability has influenced the functionality of the design. So, to overcome the effect of metastability on functionality of the design, there is need to add more synchronizers in the design. While if the waveforms obtained from the design with and without buffer are same, it means synchronizers / Meta flops already present in the design are enough to deal with the metastability which may arise during functioning of the design.","PeriodicalId":270445,"journal":{"name":"2022 2nd International Conference on Intelligent Technologies (CONIT)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116376800","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