Informatics Publishing Limited

V. Balaji ¹, S. Ravi ², P. Naveen Chandran ³

Affiliations
1 Department of Mechanical Engineering, Bharath Institute of Higher Education and Research (BIHER), Chennai - 600073, Tamil Nadu, IN
2 Department of Mechanical Engineering, Sriram College of Engineering, Chennai - 602024, IN
3 Department of Automobile Engineering, Bharath Institute of Higher Education and Research (BIHER), Chennai - 602024, IN

Abstract

The present investigation comprised of experimental study of conventional milling of AISI D3 Steel and Tin coated inserts by using cryogenic CO₂ as a coolant. The main objective of the analysis was to use the Taguchi technique to detect the impact of dynamic parameter viz. Cutting speed, feed, depth of the cut on the roughness of the work piece material. The goal was to comparatively study under dry and wet conditions and observe the effect of cryogenic CO₂ as a coolant with CVD TiN coated as a insert tool. Finally cutting temperature, roughness, Material Removal Rate (MRR) and tool wear were measured. Finally SEM observation was made to analyze the tool wear and the data was complied into MINITAB-17 for Taguchi analysis. Mainly surface roughness and MRR were investigated employing Taguchi design.

Keywords

Cryogenic Milling CO₂, Methodology, Surface Roughness, Taguchi Technique.

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V. Balaji ¹, V. Vishnu Priya ², R. Gayathri ²

Affiliations
1 Saveetha Dental College and Hospitals, Chennai-600 077, IN
2 Department of Biochemistry, Saveetha Dental College and Hospitals, Chennai-600 077, IN

Abstract

Background: Obesity the most prevalent form of malnutrition in both developed and developing countries and affecting children as well as adults is replacing the more traditional public health concerns. Obesity and overweight are the fifth leading cause of deaths worldwide. As obesity is the key risk factor in natural history of other chronic non-communicable diseases, obesity prevention strategies offer a cost-effective approach in preventing other chronic non-communicable diseases. Awareness level is the basic necessity to effect a change in behaviour, more so in case of medical students as they can be the health educators of the community. Objective: To create awareness about risk factor of obesity among College students. Result: Among 100 students, 64 were men and 36 were women. It was found that 57.4% men and 72.7% women were not aware of its risk factors, respectively. Conclusion: The prevalence of overweight and obesity was higher compared to other studies and the awareness level was satisfactory.

Keywords

Overweight, Obesity, Awareness, Risk Factors.

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V. Balaji ¹, Indranil Biswas ²

Affiliations
1 Chennai Mathematical Institute, Sipcot IT Park, Siruseri-603103, IN
2 School of Mathematics, Tata Institute of Fundamental Research, Homi Bhabha Road, Bombay-400005, IN

Abstract

We correct an error in Theorem 1.1 of [1], as well as extend this theorem.

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A. V. Ashok Kumar Reddy ¹, C. Venkata Prasad ¹, M. Saraswathi ¹, HMP Naveen Kumar ¹, M. N. Prabhakar ¹, V. Balaji ¹, K. Madhusudhan Rao ¹, B. Yerriswami ², C. Lakshmi Narayana Reddy ², B. Mallikarjuna ², M. C. S. Subha ², K. Chowdoji Rao ¹

Affiliations
1 Dept. of Polymer Science & Tech., S.K. University, Anantapur, A.P., IN
2 Dept. of Chemistry, S.K. University, Anantapur, A.P., IN

Abstract

Chitosan (CS), a polysaccharide, has many industrial applications and its miscibility studies are most useful. Synthetic polymer, poly (ethylene glycol) (PEG) is a subject of current research interest. Hence, miscibility of CS and PEG in aqueous acetic acid solutions has been studied by ultrasonic velocity, refractive index and viscosity techniques at 303.15 K, over a wide range of compositions ranging from 0-100% of CS in CS/PEG blends. The results of ultrasonic velocity and its derived acoustical parameters such as adiabatic compressibility (β_ad), acoustic impedance (Z), relaxation strength (γ_s) and Rao number (R) have been used to discuss the miscibility/immiscibility of the blend under study. These discussions revealed that the blend is miscible up to 40% of chitosan in the blend and beyond this, the blend is immiscible. Using the viscosity data, the interaction parameters ΔB, μ and α were computed and used to discuss the miscibility/immiscibility nature of this blend. The ultrasonic velocity results are further confirmed by viscosity and refractive index results.

Keywords

Chitosan/PEG Blend, Acoustical Parameters, Miscibility, Refractive Index.

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Logeshwari Dhavamani ¹, A. Kaliappan ², M. Sakthivel ³, V. Balaji ⁴

Affiliations
1 Department of Information Technology, St. Joseph’s College of Engineering, IN
2 Department of Computer Science and Engineering, P.A. College of Engineering and Technology, IN
3 Department of Computer Science and Engineering - Artificial Intelligence and Machine Learning, Malla Reddy College of Engineering, IN
4 Department of Electrical and Electronics Engineering, Mai Nefhi College of Engineering and Technology, ER

Abstract

In today’s rapidly evolving digital landscape, interactive communication networks play a pivotal role in facilitating real-time interactions among users. One of the critical challenges in these networks is ensuring the seamless delivery of multimedia content that caters to the diverse needs and preferences of individual users. This research endeavors to address this challenge by introducing a novel approach, where it places user satisfaction at its core, leveraging adaptive streaming techniques to dynamically adjust multimedia content delivery. By considering parameters such as network conditions, device capabilities, and user preferences, it optimizes the streaming experience in real-time. A key innovation lies in the integration of Shannon-Fano coding principles and genetic algorithms. Shannon-Fano coding enhances data compression efficiency, reducing bandwidth consumption, while genetic algorithms fine-tune the adaptive streaming parameters for each user. Our experimentation and evaluations demonstrate the effectiveness of this approach, showcasing improved multimedia streaming quality, reduced latency, and efficient bandwidth utilization. The synergy of user-centricity, adaptive streaming, Shannon-Fano coding, and genetic algorithms presents a promising avenue for enhancing multimedia communication in interactive networks.

Keywords

User-Centric, Adaptive Multimedia Streaming, Interactive Communication Networks, Shannon-Fano Coding, Genetic Algorithm.

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Kaavya Kanagaraj ¹, Shilpa Abhang ², Julakanti Sampath Kumar ³, R. K. Gnanamurthy ⁴, V. Balaji ⁵

Affiliations
1 Department of Computational Intelligence, SRM Institute of Science and Engineering, Kattankulathur Campus, IN
2 Department of MCA, Jyoti Nivas College, IN
3 Department of Electronics and Communication Engineering, ACE Engineering College, IN
4 Department of Electronics and Communication Engineering, VSB College of Engineering Technical Campus, IN
5 Department of Electrical and Electronics Engineering, MAI-NEFHI College of Engineering and Technology Asmara, ER

Abstract

The explosive growth of video data poses a significant challenge in retrieving relevant content swiftly. Existing methods often fall short in providing concise yet informative summaries and efficient retrieval mechanisms. The primary issue lies in the overwhelming volume of video data, making it cumbersome for users to identify and access pertinent information efficiently. Traditional summarization techniques lack the sophistication to capture the nuances of video content, leading to a gap in effective content retrieval. Our approach involves training a Deep Belief Network (DBN) to autonomously generate concise yet comprehensive video summaries. Simultaneously, the Radial Basis Function (RBF) is employed to develop an efficient content retrieval system, leveraging the learned features from the video summarization process. The integration of these two methods promises a novel and effective solution to the challenges posed by the burgeoning volume of video content. Preliminary results demonstrate a significant improvement in the efficiency of content retrieval, with the integrated DBN and RBF approach outperforming traditional methods. The video summaries generated by the DBN exhibit enhanced informativeness, contributing to more accurate and rapid content retrieval.

Keywords

Video Summarization, DBN, Content Retrieval, RBF, Multimedia Content

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