2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)最新文献_第10页

Enhancement of Energy Optimization in Semi Joint Multipath Routing Protocol using QoS Based on Mobile Ad-Hoc Networks 基于移动Ad-Hoc网络的QoS增强半联合多径路由协议能量优化

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127306

Anil Kumar, R. Shukla, R. Shukla

{"title":"Enhancement of Energy Optimization in Semi Joint Multipath Routing Protocol using QoS Based on Mobile Ad-Hoc Networks","authors":"Anil Kumar, R. Shukla, R. Shukla","doi":"10.1109/DELCON57910.2023.10127306","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127306","url":null,"abstract":"Ensuring quality of service (QoS) is a main challenge for mobile ad hoc networks due to the transmission of packet and frequency range giving and ability constraints of Wi-Fi growth. Since the study of protocol of MANET is dynamic, conquering is forever a weighty problem. Therefore, battery performance is a key factor in MANET, which enables reliable communication without interruption of power supply. To avoid packet loss when transmitting data packets, many studies have been conducted to improve battery performance There is currently no information about battery performance optimization in MANET. This paper describes a techniques developed to recover MANET battery life and improve packet transmission quality. Network performance will degrade due to battery dependent nodes in MANET. Therefore, to ensure better performance, we used the protocol Multipath Routing Ad-hoc On Demand Distance Vector (MAODV) and. Neural Network Based Hopfield Disjoint Path Set Selection (NNHDPS). This improves network longevity compared to existing protocols. The results were obtained using a grid simulator, with significantly improved performance compared to existing energy optimization strategies.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121716442","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

Feedback for Faculty on Student’s Asynchronous Learning Based on Classification using Topic Modelling 基于主题建模分类的教师学生异步学习反馈

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127267

Radhika Amashi, Sujay Suresh Dandgall, V. M.

{"title":"Feedback for Faculty on Student’s Asynchronous Learning Based on Classification using Topic Modelling","authors":"Radhika Amashi, Sujay Suresh Dandgall, V. M.","doi":"10.1109/DELCON57910.2023.10127267","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127267","url":null,"abstract":"The emphasis on using virtual and, Information and Communication Tools (ICT) is increasing in higher educational institutions to enhance the general education standards for 21st century students. As a part of this, blended learning is emerging as a significant way for course delivery, especially after the hard times of COVID-19. One of the challenges of blended learning is inadequate information for faculty to understand how each student in their class has engaged with the content of the asynchronous video. Reading, assessing, and grading the long and reflective assessments is also tiresome. Therefore, in this study, we aim to provide feedback for faculty by classifying students into different levels based on the reflective answers’ content after the asynchronous learning mode. The site and context of the study are one of the modules named \"Sustainability in Engineering\" in the course \"Engineering Exploration,\" offered to first-year undergraduate students. We adopted the qualitative text mining approach called Latent Dirichlet Allocation (LDA) widely used topic modeling technique to understand if the topics discussed by students align with the asynchronous content. The results of the study show that 12% of students have spoken only on sustainability, 25% of students have spoken about only engineering design, 68% of students have tried to establish a relationship between the sustainability and engineering design concept, and 20% of students spoke none of the above three topics.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123986377","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

Iris and Periocular Recognition using Shape Descriptors and Local Invariant Features 基于形状描述符和局部不变特征的虹膜和眼周识别

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127462

Bineet Kaur

{"title":"Iris and Periocular Recognition using Shape Descriptors and Local Invariant Features","authors":"Bineet Kaur","doi":"10.1109/DELCON57910.2023.10127462","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127462","url":null,"abstract":"Iris is a popular biometric modality that has been deployed in uncontrolled environment for various applications like the Aadhaar project in India, in airports, banks, health and educational institutes. However, occlusion of eyelids, eyelashes and illumination variations result in degradation of biometric system recognition. Thus, another biometric modality ‘periocular’ has been proposed in the paper in complementary to ‘iris’ modality. ‘Periocular’ refers to the region surrounding eye i.e. eyelids, eyelashes, eyebrows and skin texture. A periocular database consisting of 1000 images has been prepared. The paper proposes a feature-set consisting of shape descriptors: Local Binary Pattern (LBP) and Scale-Invariant Feature Transform (SIFT) along with orthogonal moments like Zernike, Krawtchouk, Tchebichef and Dual-Hahn. The feature-set is concatenated and fed into a K-NN classifier. Experiments are performed on publicly available database: IIITD Multi-spectral periocular and self-developed PEC periocular database. Results demonstrate that Dual-Hahn moments show recognition accuracy of 97.8% for IIITD database and Tchebichef moments show an accuracy of 92.7% for PEC periocular database. The proposed method achieves superior results when compared to other methods available in literature.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124279879","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

Leaky-Integrate-and-Fire Neuron as Pacemaker for Interval Timing 泄漏-整合-放电神经元作为间隔计时的起搏器

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127242

Komala Anamalamudi, Raju Surampudi Bapi, G. Chakraborty, Nirupa Vakkala

引用次数: 0

DELCON 2023 Cover Page DELCON 2023封面

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/delcon57910.2023.10127286

引用次数: 0

Dataset for Face-mask Recognition in Poor Visibility Conditions based upon IoT enabled Robotics 基于物联网机器人的低可见度条件下面罩识别数据集

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127304

Nishant Sharma, Ankush Khera, Dev Sayal, Aniran Singh, I. Kansal

引用次数: 0

Modeling of Organizational Influencing Factors for Smart Manufacturing in the Indian Context by Using the DEMATEL Method 基于DEMATEL方法的印度智能制造组织影响因素建模

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127381

Tejendra Singh Gaur, Vinod Yadav

{"title":"Modeling of Organizational Influencing Factors for Smart Manufacturing in the Indian Context by Using the DEMATEL Method","authors":"Tejendra Singh Gaur, Vinod Yadav","doi":"10.1109/DELCON57910.2023.10127381","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127381","url":null,"abstract":"Smart Manufacturing comes with several advantages, such as increased productivity, improved efficiency, and long-term cost savings. Adopting a new technology/concept is always a challenging task and even in the pilot stage, industries are facing many issues in the adoption of SM. This study intended to identify and model the influencing factors to adopt SM in the Indian context. To complete the purpose of the current study, the influencing factors are found by a literature survey and validated by a team of experts. Organizational factors that influence SM adoption are considered in this study. A total of 6 influencing factors are identified that are Uncertainty in Management, Skilled workers, Investment issues, Implementation, Laws & Regulations, and Transparency. After the finalization of influencing factors, Decision Making Trial and Evaluation Laboratory is selected to model them. Based on the results of the study the important factors to be considered before implementing Organizational factors such as laws and regulations, implementation, and uncertainties in management are the most influencing. This study provides the necessary guidelines for the industry to adopt SM.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124214092","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

PCSVM: A Hybrid Approach using Particle Swarm Optimization and Cuckoo Search for Effective Cancer Diagnosis 基于粒子群优化和布谷鸟搜索的PCSVM有效癌症诊断

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127354

Sudhir Kumar Senapati, Manish Shrivastava, Satyasundara Mahapatra

{"title":"PCSVM: A Hybrid Approach using Particle Swarm Optimization and Cuckoo Search for Effective Cancer Diagnosis","authors":"Sudhir Kumar Senapati, Manish Shrivastava, Satyasundara Mahapatra","doi":"10.1109/DELCON57910.2023.10127354","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127354","url":null,"abstract":"Today, cancer is increasingly recognized as a significant contributor to the rising death toll around the globe. Therefore, early identification of cancer raises the degree to which patients may recover, and one of the main concepts of this approach is known as machine learning (ML). For ML the important factor is the presence of a proper dataset and biopsy and microarray datasets are two varieties of datasets available to help in developing ML-based models. The biopsy dataset does not have any genetic information and due to this limitation present behind the biopsy dataset, the researchers are looking at the microarray data. The microarray data are used for the diagnosis and classification of cancer disease which makes the data colossal. But to examine a large number of datasets is a challenging task. To avoid this kind of issue feature selection is one of the best solution and classification algorithms are present in machine learning which selects the relevant features that help in constructing a better model for classification. As a result of this better accuracy is obtained in disease classification which helps in prevention. The primary objective of this research work is to provide an integrated model PCSVM or PSO-CS-SVM based on Particle swarm optimization (PSO), and cuckoo search algorithm (CS) algorithm used as feature selection and optimization algorithm respectively. In addition, the support vector machine (SVM) is being used as the classifier. The state-of-the-art approaches to machine learning, such as Decision Tree, Neural Network, and Random Forest, are used to compare the performance of the proposed PSO-CS-SVM.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126932495","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

An Algorithm to Impute Missing Values in Medical Datasets to Predict the Risk of Diseases in Patients 一种基于缺失值的医疗数据集预测患者疾病风险的算法

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127481

H. V. Bhagat, Manminder Singh

{"title":"An Algorithm to Impute Missing Values in Medical Datasets to Predict the Risk of Diseases in Patients","authors":"H. V. Bhagat, Manminder Singh","doi":"10.1109/DELCON57910.2023.10127481","DOIUrl":"https://doi.org/10.1109/DELCON57910.2023.10127481","url":null,"abstract":"The advent of Internet of Things (IoT) revolutionizes the healthcare sector by altering how medical equipment and humans interact while providing healthcare solutions. Applications of IoT in healthcare are advantageous to patients, their families, physicians, hospitals, and insurance companies. Before the IoT, patients could only speak with doctors physically, over the phone, or by text. There wasn’t a practical way for medical staff or facilities to continuously assess patients' health and provide guidance. Remote monitoring in the healthcare industry is made possible by utilizing sensor devices that help physicians to deliver superlative care to their patients. Sensor devices play a crucial role in the remote monitoring of patients. However, the failure of network or sensor devices may result in data with missing values. This incomplete data cannot be utilized to diagnose a patient or to make effective predictions of the disease in early diagnosis. To ensure the effective diagnosis and predict the risk of diseases in the patient, this paper proposed a novel ReMiss (Removing Missingness in medical datasets) algorithm to impute the missing values present in incomplete medical datasets. The proposed ReMiss algorithm is a data-partitioning based missing values imputation technique that partitions the datasets into complete and incomplete subsets to predict the missing values efficiently. The adjusted coefficient of determination, RMSEs and classification accuracy are the performance metrics used to evaluate the performance of the proposed ReMiss algorithm with the existing imputation techniques. The proposed ReMiss algorithm obtained an average classification accuracy of 93.53%.","PeriodicalId":193577,"journal":{"name":"2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131521875","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

An Effective Mechanism for Virtual Machine Placement using Cuckoo Search 一种基于布谷鸟搜索的虚拟机放置机制

2023 2nd Edition of IEEE Delhi Section Flagship Conference (DELCON) Pub Date : 2023-02-24 DOI: 10.1109/DELCON57910.2023.10127396

Loveleena Mukhija, Rohit Sachdeva

引用次数: 2