Optimized Wireless Stethoscope Using Butterworth Filter

Dadhe, Ms. Sneha Miskin Ms. Mohini

doi:10.17762/ijnpme.v4i03.37

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…We determined the hardness of the welded joint by measuring it with a Vickers hardness machine using a load of 100g at 20 seconds time [30,31]. The micro hardness was evaluated depends upon cross-section of the welded joint and the stir zone .…”

Section: Micro Hardnessmentioning

confidence: 99%

Mechanical Properties of FSW Joints Magnesium Alloy at Different Rotational Speeds

Vijayaraghavan,

Bisht,

Almusawi

et al. 2024

E3S Web Conf.

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Magnesium (Mg) has become a focus in the transportation industry due to its potential in reducing fuel consumption and gas emissions while improving recyclability. Mg alloys are also known for their low neutron absorption, good resistant of carbon dioxide as well as thermal conductivity which makes them suitable for use in industrial equipment for nuclear energy. there has been an increasing interest in the research and development of Mg alloys. These are the lightest of all metallic structural materials and are approximately 33% lighter than aluminium (Al) and 75% lighter than ferrous (Fe) alloys and have excellent specific mechanical properties. In this work, FSW of AZ31B Alloy was examined at the various rotational speeds of 900 -1440 rpm, with fixed welding speed of 40mm/min and 2° tool tilt angle using an HSS tool. The mechanical properties were compared for the different rotational speeds. The quality of FSW joints is dependent on input value of heat and material flow rate, which are prejudiced by process parameters., higher rotation speeds may cause abnormal stirring, resulting in a tunnel defect at the weld nugget due to increased strain rate and turbulence.

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Section: Micro Hardnessmentioning

confidence: 99%

Mechanical Properties of FSW Joints Magnesium Alloy at Different Rotational Speeds

Vijayaraghavan,

Bisht,

Almusawi

et al. 2024

E3S Web Conf.

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“…To detect several kinds of attacks, many of the existing studies employed machine learning algorithms [12]. The machine learning algorithms allow the network administrator to take preventive measures for intrusion activities [13]. Although, the machine learning algorithm cannot resolve the classification issue in numerous intrusion data.…”

Section: Introductionmentioning

confidence: 99%

An Effective Dual Level Flow Optimized AlexNet-BiGRU Model for Intrusion Detection in Cloud Computing

Bingu,

Jothilakshmi

2023

IJRITCC

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In recent years, several existing techniques have been developed to solve security issues in cloud systems. The proposed study intends to develop an effective deep-learning mechanism for detecting network intrusions. The proposed study involves three stages pre-processing, feature selection and classification. Initially, the available noises in the input data are eliminated by pre-processing via data cleaning, discretization and normalization. The large feature dimensionality of pre-processed data is reduced by selecting optimal features using the wild horse optimization-based feature selection (WHO-FS) model. The selected features are then input into a proposed dual-level flow optimized AlexNet-BiGRU detection model (DLFAB-IDS). Whereas the flow direction algorithm (FDA) approach optimally tunes the hyperparameters and helps to enhance the classification performance. In the proposed model, the intrusions are detected by AlexNet and the multiclass classification is performed through the BiGRU method. The proposed study used the NSL-KDD dataset, and the simulation was done by Python tool. The efficacy of a proposed model is measured by evaluating several performance metrics. The comparison over other existing techniques shows that the proposed model brings higher performance in terms of accuracy 96.81%, recall 95.84%, precision 96.24%, f1-score 96.75%, prediction time 0.43s and training time 152.84s.

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Planning for Grid Expansion and Maintaining Reliability in the Context of Electricity Storage

Singh

Pachori

2022

2022 International Conference on Futuristic Technologies (INCOFT)

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Optimized Wireless Stethoscope Using Butterworth Filter

Cited by 3 publications

References 3 publications

Mechanical Properties of FSW Joints Magnesium Alloy at Different Rotational Speeds

Mechanical Properties of FSW Joints Magnesium Alloy at Different Rotational Speeds

An Effective Dual Level Flow Optimized AlexNet-BiGRU Model for Intrusion Detection in Cloud Computing

Planning for Grid Expansion and Maintaining Reliability in the Context of Electricity Storage

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