- Networking and Communication Engineering
- The Indian Journal of Nutrition and Dietetics
- Artificial Intelligent Systems and Machine Learning
- Automation and Autonomous Systems
- Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics
- Indian Journal of Science and Technology
- Research Journal of Pharmacy and Technology
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
Gayathri, K.
- A Study on Various Cryptographic Algorithms and their Scope and Improvement towards Future Security Needs
Authors
1 IFET College of Engineering, Villupuram, IN
2 Assistant Professor of Computer Applications, Department in IFET College of Engineering, IN
Source
Networking and Communication Engineering, Vol 8, No 5 (2016), Pagination: 163-167Abstract
Over the years, numerous cryptographic algorithms have been developed and used in many different protocols and functions. Cryptography is by no means static. Steady advances in computing and in the science of cryptanalysis have made it necessary to adopt newer, stronger algorithms and larger key sizes. Older algorithms are supported in current products to ensure backward compatibility and interoperability. However, some older algorithms and key sizes no longer provide adequate protection from modern threats and should be replaced. This paper summarizes the security of cryptographic algorithms and parameters, gives concrete recommendations regarding which cryptography should be used and which cryptography should be replaced, and describes alternatives and mitigations.
Keywords
Cryptography, Key Sizes, Security, Protocols, Functions, Science of Cryptanalysis- Book Review
Authors
Source
The Indian Journal of Nutrition and Dietetics, Vol 43, No 9 (2006), Pagination: 411-412Abstract
Book Review Title:
* The Nestle Nutrition Workshop Series Pediatric Program, Vol.56. Feeding during Late Infancy and Early Childhood: Impact on Health.
- Book Review
Authors
Source
The Indian Journal of Nutrition and Dietetics, Vol 43, No 2 (2006), Pagination: 91-91Abstract
Book Review Title:
* Ayurvedic Cooking for Self - Healing.
- Social Media Analysis for TamilNadu Tourism Places using VIKOR Approach
Authors
1 Department of Information Technology, Thiagarajar College of Engineering, Madurai, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Vickram College of Engineering, Madurai, TamilNadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 7, No 5 (2015), Pagination: 133-138Abstract
Sentiment Analysis deals with the analysis of emotions, opinions and facts in the sentences which are expressed by the people. It allows us to track attitudes and feelings of the people by analyzing blogs, comments, reviews and tweets about all the aspects. In this paper, a sentiment analysis model using VIKOR approach has been proposed to rank the tourism places from the user reviews. The model involves the process of gathering online user reviews regarding the TamilNadu tourism and analyzes those reviews in terms of the sentiments expressed. Information Extraction process filters irrelevant reviews, extracts sentimental words of features identified and quantifies the sentiment of features using General Inquirer. Finally, VIKOR approach, a multi-criteria decision making (MCDM) method ranks the tourism places from the aggregated senti-scores. The sentiment analysis on tweets/reviews is done with multiple dimensions using Natural Language Processing techniques. This information can be used to improve business outcomes and ensure a very high level of user satisfaction.Keywords
Sentiment Analysis, Opinion Mining, VIKOR, MCDM Technique.- Book Review
Authors
Source
The Indian Journal of Nutrition and Dietetics, Vol 42, No 1 (2005), Pagination: 41-41Abstract
Book Review Title:
* Food Safety Contaminants and Toxins.
- Book Review
Authors
Source
The Indian Journal of Nutrition and Dietetics, Vol 41, No 4 (2004), Pagination: 180-180Abstract
Book Review Title:
* The Neural Basis of Early Vision Keio University International Symposia for Life Sciences and Medicine, Volume - 11.
- Intrafamilial Food Distribution and Nutritional Status of Selected Textile Labourer Families in Coimbatore
Authors
1 Department of Food Science and Nutrition, Avinashilingam Deemed University, Coimbatore - 641 043, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 40, No 10 (2003), Pagination: 358-362Abstract
Nutritional status is an operational term that relates to how health is affected by food and nutrient intake and the way the body uses nutrients in both healthy and diseased status.- An Efficient Interaction between the Farmer and Sugarcane Processing
Authors
Source
Automation and Autonomous Systems, Vol 8, No 5 (2016), Pagination: 118-126Abstract
Sugarcane is one of the important food and commercial crops of Tanzania. Its production is concentrated mainly in three regions, Morogoro, Kagera and Kilimanjaro. Most of the sugar produced in the country is for home consumption and only a small proportion is exported to service foreign debts. Sugarcane is the main source of sugar in Asia and Europe. Sugarcane is grown primarily in the tropical and sub-tropical zones of the southern hemisphere. Sugarcane is the raw material for the production of white sugar, jaggery (gur) and khandsari. It is also used for chewing and extraction of juice for beverage purpose. [1] The sugarcane cultivation and sugar industry in India plays a vital role towards socio-economic development in the rural areas by mobilizing rural resources and generating higher income and employment opportunities. About 7.5 percent of the rural population, covering about 45 million sugarcane farmers, their dependents and a large number of agricultural labour are involved in sugarcane cultivation, harvesting and ancillary activities. There are about nine States in India where sugarcane is grown on a large extent of area. There are a number of varieties that are grown in India depending on the suitability of the soil. The area, output and yield and sugarcane cultivation is subjected to fluctuate in response to policies of the government and also conditions of cultivation. Taking these into consideration, this chapter presents a detailed discussion on the cultivation practices of sugarcane, growth of area, output and yield.
Keywords
Sugarcane, Growth of Area, Soil, Raw Material, Jaggery, Khandsari.- Role of Infrastructure in the Industrial Development of Karnataka: A District Level Analysis
Authors
1 Institute for Social and Economic change, Bangalore - 560 072, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 39, No 2 (1997), Pagination: 185-205Abstract
Industrial development of a region is guided by various factors of which infrastructure facilities play a key role, of a catalytic nature, in the industrial development and performance of a region. The high positive correlation observed in the case of Karnataka between the Infrastructure and Industrial development highlights the need for the availability of adequate infrastructure facilities In promoting industry. Concentration of industrial development in four districts - Bangalore, Dakshina Kannada, Belgnum and Mysore, in tenns of the value added, dispite the continued measures of government to disperse industrial development across all districts also speaks of the importance of infrastructure facilities.- Experimental Investigation of Sea Sand for Construction Purposes
Authors
1 Department of Civil Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai - 600062, Tamil Nadu, IN
2 Department of Civil Engineering, 2Dhanalakshmi Srinivasan Engineering College, Perambalur - 621212, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 11 (2016), Pagination:Abstract
Objective: This project is dealt with the usage of sea sand in the construction field with the removal of salt content from the sand. Methods/Statistical Analysis: An experimental setup with Sea Sand has been made suitable for construction purpose by reducing the salt content to equalize its properties similar to the River Sand. Findings: By removing the salt from sand by washing with ample water the purified sea sand exhibited better strength than the unpurified sea sand and river sand. Hence, it is proved that the corrosion is controllable. Applications/Improvement: The removal of salt content from water is mandatory and hence improves the workability and durability of any construction works.Keywords
River Sand, Salt Content, Strength Properties, Sea Sand- An Enhanced Jamming Attack Detection using Bittrickle Methodology
Authors
1 Department of ECE, Angel College of Engineering and Technology, Tirupur, IN
Source
Networking and Communication Engineering, Vol 11, No 3 (2019), Pagination: 36-40Abstract
When target devices are transmitting a reactive jammer jams the wireless channel; Reactive jamming is harder to track and compensate against the constant jamming methods. Frequency Hopping Spread Spectrum (FHSS) and Direct Sequence Spread Spectrum DSSS) have been widely used against Jamming attacks. If high power transmitter or frequency channel is jammed then both these method will fail. We use broad band and high power reactive jammer to avoid jamming attacks. In this proposed method we use bit trickle method to avoid jamming. Bit Trickle is a method which is used to find attackers when using broadband communication between transmitter and receiver. Users having secret key to access the data from anti jammer. Once the security key is correct then only the transmission occurs.
Keywords
Wireless Network, Jamming, Anti-Jamming, Bit Trickle Method.References
- Reactive jamming technologies. http://www.ece.gatech.edu/academic/courses/ece4007/08fall/ece4007l02/lm5/jammer.doc.
- Y. Liu and P. Ning. Bittrickle: Defending against broadband and highpower reactive jamming attacks. Technical Report TR-2011-17, NC State University, Computer Science Department, July 2011.
- Y. Liu, P. Ning, H. Dai, and A. Liu. Randomized differential dsss: Jamming-resistant wireless broadcast communication. In Proceedings of the 2010 IEEE INFOCOM, 2010.
- Robert A. Scholtz. Spread Spectrum Communications Handbook. McGraw-Hill, 2001.
- W. Xu, W. Trappe, and Y. Zhang. Anti-jamming timing channels for wireless networks. In WiSec ’08: Proceedings of the first ACM conference on Wireless network security, pages 203–213, New York,NY, USA, 2008. ACM.
- M. Wilhelm, I. Martinovic, J. B. Schmitt, and V. Lenders, “Short paper: Reactive jamming in wireless networks: How realistic is the threat?” in Proc. 4th ACM Conf. Wireless Netw. Secur., 2011, pp. 47–52.
- W. Xu, K. Ma, W. Trappe, and Y. Zhang, “Jamming sensor networks: Attack and defense strategies,” IEEE Netw., vol. 20, no. 3, pp. 41–47, May/Jun. 2006
- K. Grover, A. Lim, and Q. Yang, “Jamming and anti–jamming techniques in wireless networks: A survey,” Int. J. Ad Hoc Ubiquitous Comput., vol. 17, no. 4, pp. 197–215, 2014.
- D. Giustiniano, V. Lenders, J. B. Schmitt, M. Spuhler, and M. Wilhelm, “Detection of reactive jamming DSSS-based wireless networks,” in Proc. 6th ACM Conf. Secur. Privacy Wireless Mobile Netw., 2013, pp. 43–48.
- E.-K. Lee, S. Y. Oh, and M. Gerla, “Randomized channel hopping scheme for anti-jamming communication,” in Proc. IFIP Wireless Days (WD), Oct. 2010, pp. 1–5.
- Y. Liu and P. Ning, “BitTrickle: Defending against broadband and highpower reactive jamming attacks,” in Proc. IEEE INFOCOM, Mar. 2012, pp. 909
- W. Xu, W. Trappe, and Y. Zhang, “Anti-jamming timing channels for wireless networks,” in Proc. 1st ACM Conf. Wireless Netw. Secur., New York, NY, USA, 2008, pp. 203–213.
- An Automatic Identification of Lung Cancer from Different Types of Medical Images
Authors
1 Department of Computer Science, Christ (Deemed to be University), Hosur Road, Bangalore, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 5 (2019), Pagination: 2109-2115Abstract
Identification of lung cancer from the medical images is the most difficult task. The objective of this research work is to identify the cancerous and non-cancerous lung which is taken from different medical images like Computer Tomography medical images and Positron Emission Tomography medical images. The proposed algorithm is used to predict lung cancer by using different image processing techniques. It is divided into four stages such as pre-processing, binarization, segmentation and thresholding. This research paper ensures that the image quality is retained effectively thereby extracting appropriate features for identifying cancerous and non-cancerous lung. The algorithm is trained and tested for cancerous and non-cancerous images.Keywords
Lung Cancer, Pre-Processing, Binarization, Segmentation, Thresholding, Terminalia arjuna Stem Bark, Glycyrrhiza glabra Roots, Phytochemicals.References
- Prathamesh Gawade and R.P. Chauhan, “Detection of lung cancer using image processing techniques,” International Journal of Advanced Technology and Engineering Exploration, Volume (3), Issue (1), 2016.
- Munimanda Prem Chander, M. Venkateshwara Rao, T. V. Rajinikanth, “Detection of Lung Cancer Using Digital Image Processing Techniques: A Comparative Study,” International Journal of Medical Imaging, Volume (5), Issue (4), 2017.
- B. Muthazhagan and T. Ravi, “An Early Diagnosis of Lung Cancer Disease Using Data Mining and Medical Image Processing Methods: A Survey,” Middle-East Journal of Scientific Research, Volume (5), Issue (4), 2016.
- Arvind Kumar Tiwari, “Prediction of Lung Cancer Using Image Processing Techniques: A Review,” An International Journal (ACII), Volume (3), Issue (1), 2016.
- Mokhled S.AL-Tarawneh, “Lung Cancer Detection using Image Processing Technique,” Leonardo Electronic Journal of Practices and Technologies, Issue (20), 2012.
- Prashant Naresh and Dr. Rajashree Shettar, “Image Processing and Classification Techniques for Early Detection of Lung Cancer for Preventive Health Care: A Survey,” Int. J. of Recent Trends in Engineering & Technology, Volume (11), 2014.
- Jaspinder Kaur, Nidhi Garg, Daljeet Kaur, “A survey of Lung Cancer Detection Techniques on CT scan Images,” International Journal of Scientific and Engineering Research, Volume (5), Issue (6), 2014.
- Er. Nisha, Er. Lavina Maheshwari, “Lung Tumor Detection by Using Image Segmentation and Neural Network,” International Journal of Enhanced Research in Science, Technology and Engineering, Volume (4), Issue (12), 2015.
- G. Vijaya, A. Suhasini, R. Priya, “,” An International Journal (ACII), Volume (3), Issue (1), 2016.
- G. Niranjana, Dr. M. Ponnavaikko, “A Review on Image Processing Methods in Detecting Lung Cancer using CT Images,” International Conference on Technical Advancements in Computers and Communications, 2017.
- Shraddha G. Kulkarni, Sahebrao B. Bagal, “Lung Cancer Tumor Detection Using Image Processing and Soft Computing Techniques,” International Conference on Recent Research Development in Science, Engineering and Management, 2016.
- Neha Panpaliya, Neha Tadas, Surabhi Bobade, Rewti Aglawe, Akshay Gudadhe, “A Survey on Early Detection and Prediction of Lung Cancer,” An International Journal of Computer Science and Mobile Computing, Volume (4), Issue (1), 2015.
- Md. Badrul Alam Miah and Mohammad Abu Yousuf, “Detection of Lung Cancer form CT Image Using Image Processing and Neural Network,” International Conference on Electrical Engineering and Information Communication Technology, 2015.
- Mukesh K. Nag, Satish Patel, Rajnikant Panik, Shikha Shrivastava, Sanjay J. Daharwal, Manju R. Singh, Deependra Singh “Lung Cancer Targeting: A Review,” Research Journal of Pharmacy and Technology, Volume (6), Issue (11), 2013.
- R. Pandian, Dr. Lalitha Kumari “C T Image for Lung Cancer Identification,” Research Journal of Pharmacy and Technology, Volume (9), Issue (12), 2016.
- A.V.S.N. Murty, B.N. Jagadesh, K. Bhagavan, S. Satyanarayana “A Comparative Study of Various Edge Enhancement Filters in Spatial Domain,” Research Journal of Pharmacy and Technology, Volume (9), Issue (12), 2016.
- S. Syes Abdul Syed, T. Senthil Kumaran “FCM based Segmentation for Medical Images,” Research Journal of Pharmacy and Technology, Volume (10), Issue (12), 2017.
- Shaik Naseera “Client-Server Architecture for Embedding Patient Information on X-Ray Images,” Research Journal of Pharmacy and Technology, Volume (9), Issue (9), 2016.
- Deepak Rao Khadatkar and Yogesh Rathore “An Efficient and Useful Hybrid Approach for Detection of Lung Cancer,” Research Journal of Pharmacy and Technology, Volume (2), Issue (4), 2011.
- T. Sudhakar, Bethanney Janney. J, Haritha. D, Juliet Sahaya. M, Parvathy. V “Automatic Detection and Classification of Brain Tumor using Image Processing Techniques,” Research Journal of Pharmacy and Technology, Volume (10), Issue (11), 2017.
- Swarnakala, Natarajah Srikumaran “Brain Tumor Segmentation by EM Algorithm,” Research Journal of Pharmacy and Technology, Volume (10), Issue (9), 2017.
- Shyamala Devi M, Sruthi A. N, Saranya Jothi C “MRI Liver Tumor Classification Using Machine Learning Approach and Structure Analysis,” Research Journal of Pharmacy and Technology, Volume (11), Issue (2), 2018.
- B.D. Venkatramana Reddy and T. Jayachandra Prasad “Color-Texture Image Segmentation Algorithms based on Hypercomplex Gabor Analysis,” Research Journal of Pharmacy and Technology, Volume (2), Issue (2), 2011.