The interaction between electromagnetic (EM) energy and biological tissues has become a critical area of study in biomedical engineering and electromagnetic research. This paper presents an investigation into the characteristics of bio-tissues when exposed to various frequencies of electromagnetic energy. The study focuses on understanding parameters such as dielectric constant, conductivity, permittivity, and specific absorption rate (SAR), which determine how EM waves propagate, absorb, and dissipate within biological materials. Different types of tissues—such as skin, muscle, fat, and bone—exhibit distinct electromagnetic properties depending on their composition and water content. Experimental and simulation-based analyses are conducted to evaluate tissue behavior under microwave and radio frequency (RF) exposure. The findings provide insights into optimizing medical applications such as imaging, hyperthermia treatment, and wireless body area networks, while also addressing safety concerns related to electromagnetic radiation. This research contributes to the development of safer and more effective biomedical devices and diagnostic systems.

Keywords : Bio-Tissues, Electromagnetic Energy, Dielectric Properties, Specific Absorption Rate (SAR), Biomedical Applications, RF Exposure

Authors : N Dhora Babu

Title : Invistigation on the Characterstics of Bio-Tissues for Electromangetic Energy

Volume/Issue : 2020;2(1 (January - February))

Page No : 21 - 28

Influence maximization in social networks aims to identify a set of key users who can effectively spread information or influence across the network. However, selecting influential users often involves high computational complexity and cost. This paper presents PP Rank, an economic and efficient approach for selecting initial users to maximize influence spread while minimizing resource usage. The proposed method prioritizes potential users based on propagation probability, network structure, and interaction strength, allowing for balanced trade-offs between influence gain and selection cost. By integrating probabilistic modeling and ranking algorithms, PP Rank identifies a cost-effective subset of users that ensures wide information diffusion. Experimental evaluations on real-world social network datasets demonstrate that PP Rank achieves near-optimal influence coverage with significantly reduced computational time compared to traditional greedy or heuristic-based methods. This study contributes to the design of scalable, economical influence maximization strategies applicable in viral marketing, information dissemination, and social recommendation systems.

Keywords : Influence Maximization, Social Networks, PP Rank, Information Diffusion, User Selection, Network Analysis

Authors : K. Kantha Raju

Title : PP Rank: Economically Selecting Initial Users for Influence Maximization in Social Networks

Volume/Issue : 2020;2(1 (January - February))

Page No : 14 - 20

Automation plays a crucial role in improving the efficiency and reliability of modern information systems. This study focuses on the automation of a Library Management System (LMS) using Ansible Playbook, an open-source IT automation tool. Traditional library management systems require extensive manual configuration, deployment, and maintenance, leading to time consumption and potential errors. The proposed approach utilizes Ansible’s infrastructure-as-code methodology to automate the installation, configuration, and updating processes of the LMS across multiple servers. Through declarative playbooks, tasks such as database setup, web server configuration, and user management are executed consistently and efficiently. This automation reduces human intervention, ensures uniform system performance, and simplifies scalability for growing library networks. The study demonstrates that integrating Ansible automation enhances operational efficiency, minimizes downtime, and improves reliability in managing digital library services. This approach can be extended to other educational or institutional systems requiring consistent configuration and maintenance.

Keywords : Automation, Library Management System, Ansible Playbook, Configuration Management, Infrastructure as Code, System Deployment

Authors : A V N CHANDRA SEKHAR

Title : Some Studies on Automation of Library management System using the Ansible-Playbook

Volume/Issue : 2020;2(1 (January - February))

Page No : 11 - 13

The Internet of Things (IoT) has emerged as a transformative technology in the healthcare sector, enabling continuous, real-time monitoring of patients’ vital signs and improving the quality of medical services. This paper presents an IoT-based Health Care Monitoring System designed to collect, analyze, and transmit health data such as heart rate, temperature, blood pressure, and oxygen levels through interconnected smart sensors. The data is sent to a cloud platform where it can be accessed by healthcare professionals and caregivers remotely. This system enhances patient care by enabling early detection of abnormalities and providing timely medical intervention. Additionally, mobile and web applications can notify doctors and patients through alerts in case of critical conditions. The proposed system reduces the need for frequent hospital visits, minimizes human error, and supports remote healthcare delivery, especially for elderly and chronic patients. The integration of IoT, cloud computing, and data analytics ensures efficiency, scalability, and reliability in modern healthcare management.

Keywords : Internet of Things (IoT), Health Monitoring, Remote Patient Care, Smart Sensors, Cloud Computing, Healthcare System

Authors : N P PATNAIK M

Title : Health Care Monitoring System using Internet of Things

Volume/Issue : 2020;2(1 (January - February))

Page No : 1 - 10