Published in 2026
P.Siva Sankari, K.Rani, R.Karthika
Ayurveda follows its own unique philosophy and methodologies to address issues of health care. It prescribes variety of simple therapies as also certain complex treatments that could comprise of single ingredients, poly-ingredient formulations and combination of drugs, diet, lifestyle changes and therapies like massages, fomentation therapies, enemas and several other cleansing procedures as well. These treatments, oral medications or a combination of both are individualized in nature and ideally meant to be administered only after proper understanding of the ailment as per Ayurvedic diagnostics. Since last 4-5 decades major changes have occurred in Ayurvedic education, practice, research and manufacturing of Ayurvedic products. Ayurveda incorporates all forms of lifestyle in therapy. Thus yoga, aroma, meditation, gems, amulets, herbs, diet, astrology, color and surgery etc. are used in a comprehensive manner intreating patients. Treating important and sensitive spots on the body called Marmas isdescribed in Ayurveda. Massages, exercises and yoga are recommended.
Ayurvedic medicine, cleansing procedures, diagnostics, research and manufacturing of Ayurvedic products
K. Renuga Devi
This study investigates the effectiveness of using e-learning in teaching in institutions. Ininstitutions of higher education, the issue of utilizing modern information and communication technologies for teaching and learning is very important. This study investigates the effectiveness of using e-learning in teaching in the institutions. In institutions of higher education, the issue of utilizing modern information and communication technologies for teaching and learning is very important. This study reviews literature and gives a scholarly background to the study by reviewing some contributions made by various researchers and institutions on the concept of e-learning, particularly its usage in teaching and learning in higher educational institutions. This paper focused the use of elearning and challenges faced by the student and teachers.
E- LEARNING, Use and Challenges, e-learning in higher education.
T.Ramalakshmi, L.Aruna, V.Annalakshmi
India is the country with second largest aged population in the world and family is the biggest security and support for the elderly unlike western countries, but our nation has been ranked amongst the poorest of nation to grow old in a global survey. Global Age Watch Index (GA WI) developed with the UN fund for population and development, ranks India a poor 73 out of the 91 countries sampled. Elderly perceives low social worth or selfesteem in family situations. The greatest health asset for geriatric population is spending time and doing things with other people, of all ages, which can help keep the m mentally, physically and emotionally fit. Keeping this point in mind present study was undertaken in ‘Aasara’ old age home, Bhopal whole the population has been selected for the study. Aim of the investigation to find out the views of elderly peoples related to old age home adjustment. Result shows that elderly people living in old age home faced lots of problem related to personal and social adjustment.
Data Mining, APriori Algorithm, Selfesteem, Population, Old age home.
S. Benitta Roseline, S. Sophia Rani, S.Soundarya Jothi
Environmental pollution is one of the phenomena that and have gained international attention. This study was born out of the inquisitives to verify the problems associated with the refuse disposal and how they affect the personal and environmental health of inhabitants. Environment concerns have become a major development issue in Nigeria as can be seen in the establish mental agency and its equivalent at state levels and in all the local governments of imo state. The growing menace of air pollution is one of the crucial environmental issues in modern area across the world. This is silent killer of the physical as well as mental health of human being. Ten research questions were formulated for the study. The data collection using percentages. Findings from the study were discussed based on the finding suggestions were made on throw to improve on environmental refuse disposal for good personal and environmental health. The suggestions were made not only the local government area but also to the society, parents especially women, school and wards of every household.
Environmental pollution ,Data mining ,Apriori Algorithm
B.Krishnaveni, B.Jasmine, S.Ancy
In Government hospitals, some of which are among the best hospitals in Tamilnadu, provide treatment at taxpayer expense. Government hospitals provide treatment either free or at minimal charges. But Hospital treatment costs in these hospitals depend on financial condition of the patient and facilities utilized by him but are usually much less than the private sector. For instance, a patient is waived full treatment costs if he is below poverty line. Another patient may seek for an air conditioned room, if he is willing to pay extra for it. The charges for basic inhospital treatment and investigations are much less in public hospitals as compared to the private hospitals. Healthcare sector of a country needs special attentions from the government as quality of healthcare provides hope and relief to the patients and their dependents. The objective of this study is to compare the quality of health care services delivered by the public and private hospitals to gain patient satisfaction in Pakistan. Five service quality dimensions; empathy, tangibles, assurance, timeliness and assurance were used in order to measure the patient’s perceptions about the service quality of public and private hospitals in TamilNadu. Due to the nature of this study only those respondents were included in the study having perceptions about both the hospitals. This study is taking of data mining techniques using Apriori Algorithm. Results showed that private hospitals are delivering better quality of services to their patients as compared to public hospitals.
Data mining techniques, Apriori Algorithm, Association Rules
S.Ancy, V.Archana, V.Raja Priya
An Automated Teller Machine is a computerized telecommunication device that provides the access to financial transactions in a public space without the need for a human clerk or bank teller. Over time students have come to depend on and trust the Automatic Teller Machine to conveniently meet their banking needs. This paper investigated the adoption and usage of e-banking and determined the categories of using ATM, how often they use them and for what transaction. It also addressed the problems and challenges of students have with ATM. At first, the goal is to enhance an explorative analysis that can be expected, is to give insight of the data in order to reveal or extract the relevant structure of and patterns in the data. An increase in debit card among college students continues to create emotional stress, anxiety and academic turmoil for students nationwide. Purchases made without thought about accumulation of debit have limited the employment options for some college graduates. Others had to file for bankruptcy before they had their first job. There is a need to find solutions for students who can no longer bear the emotional strain caused by debit card. This process is done by using Apriory Algorithm in data mining and we select with the R- Tool.
ATM card, students, e-banking, Apriori Algorithm, R- Tool
M.Priya, T.Kokila, S.Banu
The issue of foreign workers has received increase media and national attention. However, to date there has been limited research on the nature and consequences of employment of foreign workers. Introduction of significant changes in recruitment phenomenon has ended in painful and traumatic atmosphere which barely acceptable by local workforce in Foreign countries. This conceptual paper can be derived from the field of industrial relations which play a significant role in employment of foreign workers. This case study reports on the preliminary findings on employment status of local workforce and trade union rights affected by employment of foreign workers. In addition, the research makes a number of recommendations, including the need for further development on reducing the employment of foreign workers and more refined targeting of vulnerable foreign workers linked with labor legislations.
Association Rule Mining Algorithm, Apriori Algorithm, Cluster Analysis, Data Mining.
Dr. T. Balaji
In computer vision, video stitching is a very interesting problem. In this paper, we proposed an efficient and effective novel video stitching method based on fast structure deformation that is capable of simultaneously achieving quality stitching and computational efficiency. In our method, firstly, a two-stage seam searching algorithm is designed to search two distinct but structurally corresponding seams in the two original images. The seam location of the previous frame is further considered to preserve the inter-frame consistency. Real-time seam update is performed to reduce the deformation effect caused by moving objects. Secondly, along the double seams, 1-D feature detection and matching is performed to capture the structural relationship between the two adjacent views. Thirdly, after feature matching, we propose an efficient algorithm to linearly propagate the deformation vectors to eliminate structure misalignment. At last, image intensity misalignment is corrected by rapid gradient fusion based on the successive over slackening iteration (SOSI) solver. A principled solution to the initialization of the SOSI significantly reduced the number of iterations required. Compared to image stitching, video stitching faces several new challenges including temporal coherence, dominate foreground objects moving across views and camera jittering. Experimental results show that our method to perform the existing ones compared in terms of overall stitching quality and computational efficiency. A novel searching algorithm based on enhanced dynamic programing is presented, which can obtain satisfactory result and achieve better real-time performance.
SOSI, LUT, MAC, CBS and SWIFT
T.T.Mathangi, S.Dhivya, S.Jeniba
Keyword searches are a good substitute for a subject search. It is useful when you do not know the standard subject heading. Many large-scale RDF knowledge bases with billions of facts are generating due to the growth of semantic data on the Web. This poses significant challenges for the storage and query of big RDF graphs. It is used for exploring large RDF (Resource Description Framework) Graph which is used as a W3C standard to describe data in the Semantic Web for many real time applications. In Existing techniques, RDF Data may often suffer from the unreliability of their data sources, and exhibit errors or inconsistencies. In this paper, we overcome these kinds of inconveniences with the help of an important problem, keyword search query over probabilistic RDF graphs (namely, the pg-KWS query) by probabilistic RDF graphs. To retrieve meaningful keyword search answers, we design the score rankings for sub graph answers specific for RDF data. Furthermore, we propose effective pruning methods to quickly filter out false alarms. We construct an index over the pre-computed data for RDF. We also present an efficient query answering approach through the index. Experiments have been conducted to verify the proposed approaches.
Probabilistic RDF graph, keyword search, pg-KWS
Dr.R.Aghila, B.R.Iswarya, K.Nagalakshmi, J.M.Iswarya
Network lifetime maximization and the target detection is the most important issue in wireless sensor network. The WSN motivated hundreds of applications in many domains, such as healthcare, emergency responses, traffic control, and military applications. The capability is to sense the environment and respond properly in automated manner. Many studies in the literature have addressed the problem of evaluating the performance of sensor network based on detection probability. It is difficult to detect the target in sensor networking since it is dependent on the topology of the sensor deployment and the location of the target. There has been a great interest to utilize WSN for military applications and especially in border protection. Focus on minimizing energy consumption and maximizing network lifetime for data relay in one-dimensional (1-D) queue network. The sensors on the devices extract physical information from the environment, such as temperature through a temperature sensor, pressure through a barometer, noise through a microphone, and even an image through a camera or thermal camera. Specifically, an Energy Saving via Opportunistic Routing (ENS_OR) algorithm is designed to ensure minimum power cost during data relay and protect the nodes with relatively low residual energy and DOA algorithm.
Wireless sensor network, DOA Algorithms, VANET,DSDV,AODV