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Dhivya, M.
- Timeline Cluster Formation Algorithm with Hybrid Optimization for Wireless Sensor Networks
Abstract Views :171 |
PDF Views:2
Authors
Affiliations
1 Department of Electrical and Electronics, Anna University of Technology, Coimbatore-641047, Tamilnadu, IN
2 Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore-641014, Tamilnadu, IN
1 Department of Electrical and Electronics, Anna University of Technology, Coimbatore-641047, Tamilnadu, IN
2 Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore-641014, Tamilnadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 3, No 5 (2011), Pagination: 281-287Abstract
Clustering approach is a widely used technique in wireless sensor networks to exchange information between various nodes, for enhancing the performance and energy efficiency. In this paper, a Timeline approach for energy efficient cluster formation with Hybrid Optimization encompassing Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) is proposed. Timeline Cluster formation Algorithm (TLCA) incorporates multi-individual metrics in cluster formation and energy efficient optimization technique for multiple sensor nodes. The proposed technique is to implement time based elemental approach for each protocol in which each node makes information based on local and global decisions. The performance of the proposed method is compared with other clustering protocols with respect to energy level consumed and network life time. The elicit of the proposed technique is demonstrated with simulation results. The simulation results show that TLCA can produce time based network topology and reduce network cluster size.Keywords
Clustering, Hybrid Optimization, Energy Efficiency, Timeline Algorithm, Pheromone Updating Rule, Network Lifetime.
- Physiological Efficiency of Succulents under Different Growing Environments in Tropical Condition
Abstract Views :180 |
PDF Views:0
Authors
Affiliations
1 Department of Floriculture and Landscape Gardening, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
2 Department of Seed Science and Technology, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
1 Department of Floriculture and Landscape Gardening, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
2 Department of Seed Science and Technology, Tamil Nadu Agricultural University, Coimbatore (T.N.), IN
Source
The Asian Journal of Horticulture, Vol 11, No 1 (2016), Pagination: 176-179Abstract
Investigations were undertaken to study the physiological effectiveness of different ornamental succulents under tropical condition. Six species of succulents were evaluated under four different growing environments. Results showed that the performance of succulents grown under conservatory house condition was found to be performed well and ideal with respect to chlorophyll, carotenoids, relative water content and photosynthetic rate than other growing environments. The succulent species viz., Haworthia limifolia, Monadenium lugardiae and Aloe juvenna were the most suitable species for growing under conservatory house condition due to its high nocturnal CO2 uptake and cell sap acidification which possess CAM metabolism. CAM involves nocturnal CO2 uptake and fixation by cytosolic phosphoenolpyruvate carboxylase into malic acid that is stored in the vacuole causing nocturnal cell sap acidification. During the subsequent light period, malic acid is released from the vacuole in the form of malate that is then decarboxylated leading to deacidification of cell sap, formation of pyruvate or phosphoenolpyruvate and liberation of CO2. Repeated acidification and deacidification cycles represent a characteristic physiological feature of CAM metabolism in succulents which is best suited for xeric environment and possess high photosynthetic efficiency.Keywords
Succulents, Chlorophyll, Photosynthetic Rate, CAM Metabolism.References
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- Bruinsma, J. (1961). A comment on the spectrophotometric determination of chlorophyll. Biochimica et Biophysica Acta, 52 : 578-582.
- Das, P. and Mukhopadhyay, P. (1976). Floriculture in India. Cacti and other succulents. p. 274- 305.
- Gad, Mariam R.M. (2004). Ecophysiological studies on specific plants grown under sand dunes ecosystem. Ph. D. Thesis, Fac., Agric., Moshtohor, Zagazig University, Egypt, pp. 121–149.
- Goldstein, G., Andrade, J.L. and Nobel, P.S. (1991).Differences in water relations parameters for the chlorenchyma and the parenchyma of Opuntia ficus indica under wet versus dry conditions. Australian J. Plant Physiol., 18 : 95-107.
- Koide, R.T. and Mosse, B. (2004). A history of research on Arbuscular mycorrhiza. Mycorrhiza, 14 : 145-163.
- Larcher, W. (1995). Gas exchange in plants. In: W. Larcher: Physiological plant ecology, 3rd Ed., Springer.
- Lee, Sang Deok, Kim, Soon Jae, Jung, Seung Il, Son, KiCheol and Kays, Stanley J. (2006). Diurnal CO2 assimilation patterns in nine species of CAM-type succulent plants. Hort. Sci., 41(6): 1373-1376.
- Panse, V.G. and Sukhatme, P.V. (1985). Statistical methods for agricultural workers. 4th Ed. ICAR. New Delhi.
- Osmond, C.B. (1978). Crassulacean acid metabolism: a curiosity in context. Annu. Rev. Plant Physiol., 29 : 379-414.
- Pimienta-Barrios, E., M.E. Gonzalez del Castillo-Aranda and Nobel, P.S. (2002). Ecophysiology of a wild platyopuntia exposed to prolonged drought. Environ. Exp. Bot., 47 : 77-86.
- Structural and Texture Model Based Methods for Fabric Defect Detection Using Image Processing Techniques
Abstract Views :181 |
PDF Views:3
Authors
M. Renuka Devi
1,
M. Dhivya
2
Affiliations
1 Department of MCA, Srivenkateswara College of Computer Application and Management, Coimbatore, IN
2 Bharathiar University, IN
1 Department of MCA, Srivenkateswara College of Computer Application and Management, Coimbatore, IN
2 Bharathiar University, IN
Source
Digital Image Processing, Vol 9, No 1 (2017), Pagination: 1-3Abstract
The investment in automated fabric defect detection is more than economical when reduction in labor cost and associated benefits are considered. The development of fully automated web inspection system requires robust and efficient fabric defect detection algorithms. The inspection of real fabric defects is particularly challenging due to the large number of fabric defect classes which are characterized by their vagueness and ambiguity. Numerous techniques have been developed to detect fabric defects and the purpose of this paper is to categorize and/or describe these algorithms. This paper attempts to present the first survey on fabric defect detection techniques presented in about 160 references. Categorization of fabric defect detection techniques is useful in evaluating the qualities of identified features. The characterization of real fabric surfaces using their structure and primitive set has not yet been successful. Therefore on the basis of nature of features from the fabric surfaces, the proposed approaches have been characterized into three categories; statistical, spectral and model-based. In order to evaluate the state-of-the-art, the limitations of several promising techniques are identified and performances are analyzed in the context of their demonstrated results and intended application.
Keywords
Defect Detection Methods, Fractural Dimensions, Bi-Level Thresholding, Edge Detection etc.- Textual and Metric Analysis to Figure out all Types of Clones : In Detection Method
Abstract Views :109 |
PDF Views:0
Authors
M. Dhivya
1,
R. Bharathi
1
Affiliations
1 Prist University, Puducherry, IN
1 Prist University, Puducherry, IN
Source
International Journal of Scientific Engineering and Technology, Vol 3, No 4 (2014), Pagination: 326-329Abstract
A Clone Detection approach is to find out the reused fragment of code in any application to maintain. Various types of clones are being identified by clone detection techniques. Since clone detection was evolved, it provides better results and reduces the complexity. A different clone detection tool makes the detection process easier and efficiently produces the results. In many existing system, it mainly focuses on line by line detection or token based detection to find out the clone in the system. So it makes the system to take long time to process the entire system. This paper proposes combination of textual and metric analysis of a source code for the detection of all types of clone in a given set of fragment of java source code. Various semantics had been formulated and their values were used during the detection process. This metrics with textual analysis provides less complexity in finding the clones and gives accurate results.Keywords
Clone Detection, Metrics, Complexity, Semantics.Full Text