2021 IEEE 18th India Council International Conference (INDICON)最新文献_第5页

A Wideband Circularly Polarized Endfire Microstrip Antenna 一种宽带圆极化端火微带天线

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691536

A. Bharathi, L. Merugu

引用次数: 2

Evaluating Different Graph Learning Techniques for Mental Task EEG Signal Classification 评价不同图学习技术在脑任务脑电信号分类中的应用

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691598

P. Mathur, Vijay Kumar Chakka

引用次数: 0

A Deep Learning Model for Redundancy Analysis Algorithm Recommendation 一种用于冗余分析算法推荐的深度学习模型

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691578

Atishay Kumar, Helik Kanti Thacker, Ankit Gupta, Keerthi Kiran Jagannathachar, Deokgu Yoon

{"title":"A Deep Learning Model for Redundancy Analysis Algorithm Recommendation","authors":"Atishay Kumar, Helik Kanti Thacker, Ankit Gupta, Keerthi Kiran Jagannathachar, Deokgu Yoon","doi":"10.1109/INDICON52576.2021.9691578","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691578","url":null,"abstract":"Manufacturing errors, external impurities or faulty deposition during chip fabrication could generate chips with faulty memory cells, rendering the chip unusable. To repair these faulty memory cells, redundancies are included in the memory in the form of spare rows and columns. The process of mapping faulty lines to redundant cells is Redundancy Analysis. Applying a uniform Redundancy Analysis algorithm on the wafers or running algorithms sequentially one after the other would either compromise on the repair time or wafer yield. An end-to-end solution for memory repair is proposed in this paper. A clustering algorithm to classify, identify and extract features from chip errors on a wafer is proposed. These features along with other derived parameters are used as an input to the neural network recommender system to select algorithms allowing an increase in the wafer yield keeping a low repair time per wafer. We have performed comparisons of the generated result with and without clustering and with other methods of classification of chips for Redundancy Analysis algorithm selection such as Decision Trees. Experimental results demonstrate that this solution out-performs the heuristic algorithmic solutions by 9.1% and 32.9% in terms of yield for medium and high error rates.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"371 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132399536","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

Osteosarcoma Classification using Multilevel Feature Fusion and Ensembles 基于多水平特征融合和集合的骨肉瘤分类

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691543

B. Mohan

{"title":"Osteosarcoma Classification using Multilevel Feature Fusion and Ensembles","authors":"B. Mohan","doi":"10.1109/INDICON52576.2021.9691543","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691543","url":null,"abstract":"Osteosarcoma is a type of bone cancer found in adolescents. Identifying the type of tumour from the histopathological images is a difficult task for the pathologist. In this work, a deep learning based osteosarcoma classification algorithm using ensemble approach and fusion approach is proposed. Multilevel features are extracted from a pre-trained EfficientNets trained on imagenet1k dataset. EfficientNets are scaled convolutional neural networks. This scaling is done in depth, resolution and width. Features are extracted from the initial layers, intermediate layers and final layers of a selected EfficientNet. In general, they represent the low frequency, middle and high frequency details of the images. Independently, the features are given to an error control output coding classifier with support vector machine as base learner. Ensemble prediction is done on the test images by using majority voting from the models trained using features extracted at various levels from EfficientNet. Further, a fused feature vector is formulated from the selected layers of EfficientNets and given to the error control coding output classifier. The proposed algorithm with ensemble approach and fusion approach offers higher mean and peak classification accuracy compared to the existing works in the literature.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123368318","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

Enhancement of Power Transfer Capability using Dynamic Model of Unified Power Flow Controller 利用统一潮流控制器动态模型提高输电能力

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691759

N. N. Reddy, S. Moorthi, Raja Pitchaimuthu, N. Babu, Saptarshi Roy

引用次数: 2

Comparative Analysis of Modern Control Schemes in Improved Dynamics of Inverted Pendulum 倒立摆改进动力学中现代控制方案的比较分析

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691739

Faizan Jan, S. Bhat, Amir Iqbal, Danish Itoo, Abdul Rouf, Shoeb Hussain

引用次数: 2

OROnto: An Ontology for Recognition of Grasping Objects OROnto:一种用于抓取物体识别的本体

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691517

A. Boruah, T. Ali, N. M. Kakoty, M. Malarvili

引用次数: 0

A Decision Support System for Prediction of Paroxysmal Atrial Fibrillation based on Heart Rate Variability Metrics 基于心率变异性指标的阵发性心房颤动预测决策支持系统

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691529

Dipen Deka, B. Deka

{"title":"A Decision Support System for Prediction of Paroxysmal Atrial Fibrillation based on Heart Rate Variability Metrics","authors":"Dipen Deka, B. Deka","doi":"10.1109/INDICON52576.2021.9691529","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691529","url":null,"abstract":"Paroxysmal atrial fibrillation (PAF) is a temporary arrhythmic condition which is often a precursor of permanent/chronic atrial fibrillation. As frequent PAF events may easily lead to serious heart conditions, such as stroke, arterial embolism, it is propitious to have an early warning system. To this end, we propose an automated system for early prediction of PAF events based on statistical and nonlinear features extracted from heart rate variability (HRV) signal. We compute multiscale symbolic entropy, visibility graph-based complexity measures and three time-domain measures from the HRV signal. Out of them, the independent discriminative features are selected by Wilcoxon signed-rank test and correlation assessment. Finally, the selected features are applied to support vector machine (SVM), naive Bayes, and logistic regression classifiers to obtain the best prediction model. We achieve the best prediction results using radial basis function based SVM classifier with sensitivity, specificity and accuracy of 96.15%, 97.06%, 96.80% respectively, from the segments 5-10 mins before the onset of PAF events.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121084123","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

A 6-bit Low Power Digitally Controlled Oscillator 一个6位低功耗数字控制振荡器

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691657

Rahul Harish Bhandari, Sujata Kotabagi, Ashwini Nayak

引用次数: 0

Design and Analysis of Hash Algorithm Using Autonomous Initial Value Proposed Secure Hash Algorithm64 基于自治初值的安全哈希算法的设计与分析

2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691602

B. Ambedkar, P. Bharti, Akhtar Husain

{"title":"Design and Analysis of Hash Algorithm Using Autonomous Initial Value Proposed Secure Hash Algorithm64","authors":"B. Ambedkar, P. Bharti, Akhtar Husain","doi":"10.1109/INDICON52576.2021.9691602","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691602","url":null,"abstract":"A secure hash code or message authentication code is a one-way hash algorithm. It is producing a fixed-size hash function to be used to check verification, the integrity of electronic data, password storage. Numerous researchers have proposed hashing algorithms. They have a very high time complexity based on several steps, initial value, and key constants which are publically known. We are focusing here on the many exiting algorithms that are dependent on the initial value and key constant usage to increasing the security strength of the hash function which is publically known. Therefore, we are proposing autonomous initial value proposed secure hash algorithm (AIVPSHA64) in this research paper to produce sixty-four-bit secure hash code without the need of initial value and key constant, it is very useful for a smart card to verify their identity which has limited memory space. Then evaluate the performance of hash function using autonomous initial value proposed secure hash algorithm (AIVPSHA64) and will compare the result, which is found by python-3.9.0 programming language.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124937559","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