Microwave Absorption Study of Carbon Nano Materials Synthesized from Natural Oils

Kshirsagar, Dattatray E.,Puri, Vijaya,Sharon, Maheshwar,Sharon, Madhuri Korean Carbon Society 2006 Carbon Letters Vol.7 No.4

Thin films of carbon-nano materials (CNMs) of different morphology have been successfully deposited on ceramic substrate by CVD at temperatures $800^{\circ}C$, $850^{\circ}C$ and $900^{\circ}C$ using plant based oils in the presence of transition metal catalysts (Ni, Co and Ni/Co alloys). Based on the return and insertion loss, microwave absorption properties of thin film of nanocarbon material are measured using passive micro-Strip line components. The result indicates that amongst CNMs synthesized from oil of natural precursors (mustered oil - Brassica napus, Karanja oil - Pongamia glabra, Cotton oil - Gossipium hirsuta and Neem oil - Azadirachta indica) carbon nano fibers obtained from neem's seed oil showed better microwave absorption (~20dB) in the range of 8.0 GHz to 17.90 GHz.

An Efficient Feature Reduction Method for the Detection of DoS Attack

Deepak Kshirsagar,Sandeep Kumar 한국통신학회 2021 ICT Express Vol.7 No.3

Feature selection or reduction is a significant process for intrusion detection system (IDS) in finding optimal features. Irrelevant features present in the dataset increase load on computing resources and affect the performance of the system. The present study proposes a feature reduction method based on the combination of filter-based feature reduction algorithms, namely Information Gain Ratio (IGR), Correlation (CR), and ReliefF (ReF). The system initially obtains feature subsets for each classifier based on average weight and further Subset Combination Strategy (SCS) is applied. The proposed feature reduction method results in 24 reduced features for CICIDS 2017 DoS dataset. The proposed method shows an improved performance compared to the current state-of-the-art systems on CICIDS 2017 dataset. The proposed method has also been tested and compared with the current state-of-the-art systems on KDD Cup 99 dataset.

Microwave Absorption Study of Carbon Nano Materials Synthesized from Natural Oils

Dattatray E. Kshirsagar,Vijaya Puri,Maheshwar Sharon,Madhuri Sharon 한국탄소학회 2006 Carbon Letters Vol.7 No.4

Thin films of carbon-nano materials (CNMs) of different morphology have been successfully deposited on ceramic substrate by CVD at temperatures 800℃, 850℃ and 900℃ using plant based oils in the presence of transition metal catalysts (Ni, Co and Ni/Co alloys). Based on the return and insertion loss, microwave absorption properties of thin film of nanocarbon material are measured using passive micro-Strip line components. The result indicates that amongst CNMs synthesized from oil of natural precursors (mustered oil - Brassica napus, Karanja oil - Pongamia glabra, Cotton oil - Gossipium hirsuta and Neem oil - Azadirachta indica) carbon nano fibers obtained from neem's seed oil showed better microwave absorption (~20dB) in the range of 8.0 GHz to 17.90 GHz.

Automation Monitoring With Sensors For Detecting Covid Using Backpropagation Algorithm

( Pravin R. Kshirsagar ),( Hariprasath Manoharan ),( Vineet Tirth ),( Mohd Naved ),( Ahmad Tasnim Siddiqui ),( Arvind K. Sharma ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7

This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to differentiate the number of affected people and their locations. Therefore, the proposed method integrates robotic technology for monitoring the health condition of different people. If any individual is affected by infectious disease, then data will be collected and within a short span of time, it will be reported to the control center. Once, the information is collected, then all individuals can access the same using an application platform. The application platform will be developed based on certain parametric values, where the location of each individual will be retained. For precise application development, the parametric values related to the identification process such as sub-interval points and intensity of detection should be established. Therefore, to check the effectiveness of the proposed robotic technology, an online monitoring system is employed where the output is realized using MATLAB. From simulated values, it is observed that the proposed method outperforms the existing method in terms of data quality with an observed percentage of 82.

THE DOUBLE FUZZY ELZAKI TRANSFORM FOR SOLVING FUZZY PARTIAL DIFFERENTIAL EQUATIONS

Kishor A. Kshirsagar,V. R. Nikam,S. B. Gaikwad,S. A. Tarate 충청수학회 2022 충청수학회지 Vol.35 No.2

The Elzaki Transform method is fuzzified to fuzzy Elzaki Transform by Rehab Ali Khudair. In this article, we propose a Double fuzzy Elzaki transform (DFET) method to solving fuzzy partial differential equations (FPDEs) and we prove some properties and theorems of DFET, fundamental results of DFET for fuzzy partial derivatives of the $n^{th}$ order, construct the Procedure to find the solution of FPDEs by DFET, provide duality relation of Double Fuzzy Laplace Transform (DFLT) and Double Fuzzy Sumudu Transform(DFST) with proposed Transform. Also we solve the Fuzzy Poisson's equation and fuzzy Telegraph equation to show the DFET method is a powerful mathematical tool for solving FPDEs analytically.

Bedside ultrasonographic evaluation of optic nerve sheath diameter for monitoring of intracranial pressure in traumatic brain injury patients: a cross sectional study in level II trauma care center in India

Sujit J. Kshirsagar,Anandkumar H,Sanyogita V. Naik,Alok Yadav,Ruchira M. Sakhala,Sangharsh M. Salve,Aysath Nuhaimah,Priyanka Desai 대한중환자의학회 2024 Acute and Critical Care Vol.39 No.1

Background: Optic nerve sheath diameter (ONSD) is an emerging non-invasive, easily accessible, and possibly useful measurement for evaluating changes in intracranial pressure (ICP). The utilization of bedside ultrasonography (USG) to measure ONSD has garnered increased attention due to its portability, real-time capability, and lack of ionizing radiation. The primary aim of the study was to assess whether bedside USG-guided ONSD measurement can reliably predict increased ICP in traumatic brain injury (TBI) patients.Methods: A total of 95 patients admitted to the trauma intensive care unit was included in this cross sectional study. Patient brain computed tomography (CT) scans and Glasgow Coma Scale (GCS) scores were assessed at the time of admission. Bedside USG-guided binocular ONSD was measured and the mean ONSD was noted. Microsoft Excel ) was used for statistical analysis.Results: Patients with low GCS had higher mean ONSD values (6.4±1.0 mm). A highly significant association was found among the GCS, CT results, and ONSD measurements (p < 0.001). Compared to CT scans, the bedside USG ONSD had 86.42% sensitivity and 64.29% specificity for detecting elevated ICP. The positive predictive value of ONSD to identify elevated ICP was 93.33%, and its negative predictive value was 45.00%. ONSD measurement accuracy was 83.16%.Conclusions: Increased ICP can be accurately predicted by bedside USG measurement of ONSD and can be a valuable adjunctive tool in the management of TBI patients.

Advancement in fabrication of sensors using nanotechnology: A bibliographic review and future research scope

Ujwala A. Kshirsagar,Devank C. Joshi Techno-Press 2023 Advances in nano research Vol.14 No.5

As Sensor plays an important part in day-to-day life. Sensors are used almost in each domain wherein humans are not able to sense or measure some parameters. Say from sensing a real-time activity of a person to sensing the tiny molecules of any gas or structures. Now sensors combined with advanced fabrication techniques with nanotechnology can be said as a game-changing combination. As the modern world is evolving every minute, the size of the components, instruments, and different equipment is shrinking rapidly. For example, the sensor or any other element which was used 10 years ago is reduced up to 5 times its original size and all of this is possible because of continuous advancement done in the manufacturing and fabrication techniques that are being used nowadays. Apart from this, it is not necessary that the term nano should only justify the size of the sensor. Nanotechnologically fabricated, refers to a sensor or any other element which may be large enough as compared to the regular one but they may be structured using some nano-particles.

Feature Selection for Intrusion Detection System in Internet-of-Things (IoT)

Pushparaj Nimbalkar,Deepak Kshirsagar 한국통신학회 2021 ICT Express Vol.7 No.2

Internet of Things (IoT) is suffered from different types of attacks due to vulnerability present in devices. Due to many IoT network traffic features, the machine learning models take time to detect attacks. This paper proposes a feature selection for intrusion detection systems (IDSs) using Information Gain (IG) and Gain Ratio (GR) with the ranked top 50% features for the detection of DoS and DDoS attacks. The proposed system obtains feature subsets using insertion and union operations on subsets obtained by the ranked top 50% IG and GR features. The proposed method is evaluated and validated on IoT-BoT and KDD Cup 1999 datasets, respectively, with a JRipclassifier. The system provides higher performance than the original feature set and traditional IDSs on IoT-BoT and KDD Cup 1999 datasets using 16 and 19 features, respectively.

Optimization of GMAW Process Parameters to Improve the Length of Penetration in EN 10025 S 235 Grade

Deshpande, M.U.,Kshirsagar, J.M.,Dharmadhikari, Dr. H.M. The Korean Welding and Joining Society 2017 대한용접·접합학회지 Vol.35 No.1

In auto ancillary fabrication industry, GMAW is a very useful & important welding process and EN10025 S 235 Grade is common material used for manufacturing of two wheeler chassis. This research gives the detail influence of welding process parameters such as welding current, welding voltage, wire speed on the penetration in EN10025 S 235 Grade mild steel material. The experimentation of this research has been carried out by using three factors, three level Taguchi DOE method. To analyze & optimize the welding parameters & characteristics, analysis of variance, L9 orthogonal array & signal to noise ratio are used. Length of Penetration in addition to the depth of penetration is major concern in fillet welded joints, as the penetration decides the strength of the welded joint. After analysis of penetration in all 9 welded samples, optimize parameters readings verified & found probability value within 0.05.From this research it is come to know that welding current & welding voltage is major parameters which affects the penetration in welded joints.

DentalVibe reduces pain during the administration of local anesthetic injection in comparison to 2% lignocaine gel: results from a clinical study

Joshi, Sagar,Bhate, Kalyani,Kshirsagar, Kapil,Pawar, Vivek,Kakodkar, Pradnya The Korean Dental Society of Anesthsiology 2021 Journal of Dental Anesthesia and Pain Medicine Vol.21 No.1

Background: This study was designed to compare the efficacy of DentalVibe against 2% lidocaine gel in reducing pain during the administration of local anesthetic injection in the adult population. Methods: This was a split-mouth open-label, randomized, controlled clinical study conducted in the Department of Oral and Maxillofacial Surgery of a dental institute. Fifty patients who were scheduled for bilateral dental extractions requiring an inferior alveolar nerve block were enrolled in the study. Site A (n = 50) was coated with 2% lidocaine gel followed by a local anesthetic injection, and DentalVibe with local anesthetic injection was used for Site B (n = 50). The primary outcome was pain, which was recorded immediately after the administration of anesthetic injection using the Visual Analogue Scale [VAS 0 - 10]. Results: The VAS pain scores ranged from 4 to 10 for site A and 0 to 6 for site B. Comparison between the two sites showed a statistically significant difference [Mann-Whitney U test value = 51.50, P < 0.001] favoring site B. Conclusion: This study showed that DentalVibe reduces pain during injection of local anesthesia compared to topical anesthetic gel.