- Indian Journal of Innovations and Developments
- Indian Journal of Science and Technology
- Biometrics and Bioinformatics
- The Indian Journal of Nutrition and Dietetics
- Research Journal of Science and Technology
- International Journal of Nursing Education and Research
- Asian Journal of Nursing Education and Research
- Digital Image Processing
- Wireless Communication
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Kavitha, T.
- Design and Manufacturing of Nano Catalytic Converter for Pollution Control in Automobiles for Green Environment
Authors
1 Department of Mechanical Engineering, K.S.R. College of Engineering, Tiruchengode, Namakkal (DT), Tamil Nadu, IN
2 Department of Physics, Nehru Memorial College, Puthanampatti, Tamil Nadu, IN
3 3Department of Physics, Nehru Memorial College, Puthanampatti, Tamil Nadu, IN
4 Department of Mechanical Engineering, National Institute of Technology, Trichy, Tamil Nadu, IN
Source
Indian Journal of Innovations and Developments, Vol 1, No 5 (2012), Pagination: 314-319Abstract
Automobile plays an important role in contribution to the pollution. Air pollution is predominately emitted through the exhaust of motor vehicles and the combustion of fossil fuels. Pollution control is the very important role for future generation to control toxic emissions like CO, NOX and HC. The objective of the work is to reduce the emissions from the automobiles through design and manufacturing of nano catalytic converter by replacing the existing expensive metals such as platinum, cerium oxide. Nano materials like nano rhodium and nano palladium were obtained by using chemical vapour deposition (CVD) technique. The obtained nano powder was deposited in the honey comb structure by using spin coating method. Further the characterization of nano palladium and nano rhodium powder is made through scanning electron microscope, X-ray diffraction, transmission electron microscope. By using the nano catalytic converter the pollution is reduced.Keywords
Nano catalytic converter, Nano materials, Automobile pollution, Transmission electron microscopeFull Text
References
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- An Intelligent Toll Booth System for Vehicle Smoke Emission Monitoring and Prepaid Toll Transactions
Authors
1 School of Computing, SASTRA University, Thanjavur-613401, Tamilnadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 14 (2015), Pagination:Abstract
Objectives: Road Transport is the primary source which is contributing to poor air quality. We propose, an Intelligent Toll Booth System to automate toll transactions and monitor the smoke emission from vehicles. Methods/Statistical Analysis: The automated toll operations are done based on the prepaid toll transaction card which is a passive RFID tag. The toll road usage is allowed based on the credit limit of the tag. The smoke sensor detects the amount of Carbon dioxide (CO2) exhausted from the vehicle. If it is beyond the specified range, a warning message is given to the vehicle possessor and to the respective transport office through GSM. Results: Intelligent Toll Booth System is validated to be more powerful, helpful and efficient than normal system for vehicle emission monitoring and prepaid toll transaction. It is apparent that our intelligent system proves to be more time conserving system and reduces the traffic congestion at toll booths, reduced labour and cost. Investigative results reveal that the proposed framework is viable for vehicle emission monitoring and prepaid toll transactions. Also this system agrees portability and needs very slight effort for smoke emission monitoring and toll transactions. Conclusion/Application: The proposed Intelligent Toll Booth system provides an efficient toll transaction method and smoke emission monitoring thereby reducing the congestion at toll booths.Keywords
ARM based Toll Booth System, Intelligent Toll Booth System, Prepaid Toll Transaction System, RFID based Toll Booth System, Smoke Emission MonitoringFull Text
- Pair of Iris Recognition Using Feedforward Neural Networks
Authors
1 Department of Software Engineering, Periyar Maniammai University, Thanjavur, Tamil Nadu, IN
2 Department of Computer Science Engineering, Periyar Maniammai University, Thanjavur, IN
Source
Biometrics and Bioinformatics, Vol 4, No 5 (2012), Pagination: 222-225Abstract
Pair of iris recognition is very effective for person identification due to the iris unique features and the protection of the iris from the environment and aging. In addition it is well suitable to embark upon accidental or ophthalmological disease issue. This paper presents a simple methodology for pre-processing pair of iris images which means both left and right eye of human(instead of either right or left eye) and the design and training of feedforward artificial neural network for iris recognition system. Three different iris image data partitioning techniques and two data coding are proposed and explored. We also experiment with various number of hidden layers, number of neurons in each hidden layer, input format (binary vs. analog) percent of data used for training vs testing, and with the addition of noise. Our recognition system achieves high accuracy despite using simple data preprocessing and a simple neural network.
Keywords
Backpropagation Training Algorithm, Data Partitioning Feedforward Neural Networks, Pair of Iris Recognition, Pre-Processing.
- Pregnancy Induced Hypertension and its Effect on the Fetus
Authors
1 Department of Home Science, Avvaiyar Govt. College for Women, Karaikal, IN
2 Department of Catering, Sri. Aravindar Arts and Science College, Akasampet, Vanur, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 41, No 6 (2004), Pagination: 256-264Abstract
Pregnancy is the most exciting period of expectation and fulfilment in a woman's life and it is unique natural gift to women folk. It is a period of great anabolic activities, when the most rapid rate of growth in human development takes place in the fetus at the expense of the mother. The birth of a normal infant is the expectation of the parent when pregnancy is considered. However, there is a threat to the fulfilment of the prospective parents' dreams, resulting from the very dangerous disorders that contribute to unhealthy babies.- Using Jackfruit (Artocarpus heterophyllus) Pulp as Substrate for Cellulase Production by Rhizopus Stolonifer
Authors
1 Department of Microbiology, J.J. College of Arts and Science, Pudukkottai.622422, Tamil Nadu, IN
2 Department of Botany, Government Arts College, Ariyalur, Tamil Nadu, IN
3 PG and Research Department of Microbiology, J.J. College of Arts and Science, Pudukkottai, Tamil Nadu, IN
Source
Research Journal of Science and Technology, Vol 4, No 2 (2012), Pagination: 67-69Abstract
In this present investigation three fungal species namely Rhizopus stolonifer, Penicilium sp Verticillium verticillate were isolated from the ripened Jack fruit (Artocarpus heterophyllus) pulp waste and their cellulase producing ability was screened on Carboxy methyl cellulase agar. Of the three isolates, Rhizopus stolonifer showed maximum cellulase activity. The enzyme production by Rhizopus stolonifer was assayed and the optimum pH, incubation period, temperature, nitrogen source, carbon source were standardized. The fermentation experiments were studied in solid state fermentation (SSF).Keywords
Jack Fruit Pulp Waste, Solid State Fermentation, Cellulase Enzyme, Rhizopus stolonifer.- A Study to Evaluate the Effectiveness of Video Assisted Teaching on Knowledge Regarding BLS Among II Year GNM Students in Shri Anand School of Nursing at Rajkot Dist
Authors
1 Shri Anand Institute of Nursing, Opp. Ghanteshwar Park, Jamnagar Main Road, Rajkot Dist, Gujarat- 360006, IN
Source
International Journal of Nursing Education and Research, Vol 4, No 4 (2016), Pagination: 429-430Abstract
Objective: The aim of this study was to assess the knowledge of II year GNM students regarding BLS. Design and Methods: Quasi - experimental one group pre test post test design was used. 50 II year GNM students were selected by non probability convenient sampling. The pre-test was administered by using the structured questionnaire followed by Video Assisted Teaching Program. After 7 days, the Post-test was administered by using the same structured questionnaire for evaluating the effectiveness of VAT on the BLS related knowledge. Data analysis: The obtained data was analyzed using descriptive and inferential statistics and interpreted in terms of objective and hypothesis of the study. The level of significance was set at 0.05 levels. Results: The post test shows that majority of student 32(64%) were having adequate knowledge, 18(36%) were having moderate knowledge regarding BLS. Conclusions: The study concluded based on findings suggested that VAT was effective among the II year GNM students for improving knowledge regarding BLS.Keywords
Effectiveness, Video Assisted Teaching, Basic Life Support, General Nursing Midwifery.- A Study to Evaluate the Effectiveness of Structured Teaching Program on Modification of Daily Life Patterns Among Hypertensive Clients Attending OPD at Selected Hospital, Bangalore
Authors
1 Medical Surgical Nursing Department, Shri Anand Institute of Nursing, Opp Ghanteshwar Park, Jamnagar Main Road, Rajkot Dist, Gujarat- 360006
Source
Asian Journal of Nursing Education and Research, Vol 6, No 1 (2016), Pagination: 93-95Abstract
Objective: The aim of this study was to assess the knowledge of hypertensive clients regarding modification of daily life patterns. Design and Methods: Quasi - experimental one group pre test post test design was used. 75 hypertensive clients were selected by Purposive sampling technique. The pre-test was administered by using the interview schedule followed by Structured Teaching Program. After 7 days, the Post-test was administered by using the same interview schedule for evaluating the effectiveness of STP on the hypertension related knowledge. Results: The finding of the study revealed that there was a marked increase in overall knowledge score of post test (24.36) than the pre test score (12.91) which represent the effectiveness (t=14.52; p<0.005) of structured teaching program on knowledge regarding modification of daily life patterns. Conclusions: Thus, structured teaching program was effective improving the knowledge of clients on modification of daily life patterns on the basis of the findings; the research concluded that the prepared structured teaching program was effective.Keywords
Effectiveness, Modification, Daily Life Patterns, Hypertension.- Disease Prediction System Using Fuzzy C-Means Algorithm
Authors
1 Department of Computer Applications, Kongu Engineering College, Erode, Tamil Nadu, IN
Source
Biometrics and Bioinformatics, Vol 10, No 2 (2018), Pagination: 26-29Abstract
In today’s era, each and every human-being on earth depends on medical treatment and medicines. Every day we can hear some new diseases or new symptoms of the existing disease being discovered. But with the growing number of diseases and their symptoms, everyone cannot manage to be updated with it. To predict the diseases is one of the major challenges in past years and today also. . People tend to get suffered to or sometimes even die from certain diseases which could easily be cured, if those were known beforehand. This lack of knowledge sabotages the health of a person and can create deeper repercussions. This shows the importance of predicting the diseases early on the basis of available symptoms. Because of this it will become possible to cure the people from hazardous diseases which may lead the humans to death.
The main objective of this paper is to predicting the disease of a patient based on the symptoms they enter using FCM or Fuzzy C Means algorithm. FCM is an unsupervised clustering algorithm, which allows one piece of data to belong to two or more clusters.
Keywords
Clustering, FCM, Symptoms.References
- Wikipedia. List of medical symptoms, 2015. [Online; accessed 22- January-2015].
- Shankar M., Pahadia M., “A Novel Method for Disease Recognition and Cure Time Prediction Based on Symptoms.” Advances in Computing and Communication Engineering (ICACCE), 2015 Second International Conference on. IEEE 2015.
- K. Rajalakshmi, Dr. S.S. Dhenakaram. Analysis of data mining prediction technique in healthcare management system Volume 5, Issue 4, April 2015.
- Kashish ara shakil, Shadma anis and mansaf alam. Dengu disease prediction using weka data mining tool.
- Sathyabama Balasubramanian, Balaji Subramani. Symptom’s based diseases prediction in medical system by using k-means algorithm Volume 3, No. 2, February 201.
- Uduak A., and Mfon M., “A Proposed Fuzzy Framework for Cholera Diagnosis and Monitoring.” International Journal of Computer Applications 82.17 (2013).
- WebMD. Disease symptoms, 2015. [Online; accessed 22-January-2015].
- S Sudha. Disease prediction in data mining technique–a survey. IJCAIT, 2(1):17–21, 2013.
- MRI Image Segmentation and Detection in Image Processing for Brain Tumor
Authors
1 Department of Computer Applications, Kongu Engineering College, Erode, Tamil Nadu, IN
Source
Digital Image Processing, Vol 10, No 2 (2018), Pagination: 31-34Abstract
Biomedical Image Processing is a growing and demanding field. It comprises of many different types of imaging methods likes CT scans, X-Ray and MRI. These techniques allow us to identify even the smallest abnormalities in the human body. The primary goal of medical imaging is to extract meaningful and accurate information from these images with the least error possible. Out of the various types of medical imaging processes available to us which is the most reliable and safe. It does not involve exposing the body to any sorts of harmful radiation. This Brain image can then be processed, and the tumor can be segmented. Tumor Segmentation includes the use of several different techniques. The whole process of detecting brain tumor from an Image can be classified into four different categories: Pre Processing, Segmentation, Feature Extraction and Classification.
- Wireless Sensor Node Deployment for Multi Hop Directional Network using Fuzzy Selection Optimization Algorithm
Authors
1 Department of Computer Applications (MCA), Kongu Engineering College/Anna University, Perundurai-60, Erode, IN
Source
Wireless Communication, Vol 11, No 2 (2019), Pagination: 21-28Abstract
In this paper, the problem of deploying heterogeneous mobile sensors over a target area is addressed. Traditional approaches to mobile sensor deployment are specifically designed for homogeneous networks. Nevertheless, network and device homogeneity is an unrealistic assumption in most practical circumstances, and previous approaches fail when adopted in heterogeneous operative settings. For this reason, a generalization of the Voronoi-based approach which exploits the Laguerre geometry is introduced. The paper proves the appropriateness of the proposal to the optimization of heterogeneous networks. In addition, it demonstrates that it can be extended to deal with dynamically generated events or uneven energy depletion due to communications. Finally, by means of simulations, it shows that it provides a very stable sensor behavior, with fast and guaranteed termination and moderate energy consumption. It also shows that it performs better than its traditional counterpart and other methods based on virtual forces. In addition, this paper aims to identify optimal deployment locations of the given sensor nodes with a pre-specified sensing range, and to schedule them such that the network and coverage level. This paper uses fuzzy selection optimization algorithm for sensor deployment problem followed by an effective for scheduling. In addition, fuzzy selection optimization algorithm is used to provide maximum network lifetime utilization. The comparative study shows that fuzzy selection optimization algorithm performs better than other optimization algorithm for sensor deployment problem. The proposed fuzzy logic was capable to reach the simulation value in all the experimented cases.
Keywords
Sensor Network, Sensor Deployment, Voronoi Diagram, Fuzzy Selection Optimization, Optimization, Virtual Forces Algorithm.References
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- Sohraby, K., Minoli, D., Znati, T.: Wireless Sensor Networks: Technology, Protocols, and Applications. John Wiley and Sons Inc., New Jersey (2017)
- Yi Zou , Krishnendu Chakra and A. K. Pujari, “Sensor Deployment Using Virtual Force Algorithm in wireless sensor networks,” in Proc. Int. Conf. Describe. Compute. Network. 2018, pp. 325–330
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