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Suresh Kumar, P.
- Multi-Tree Classification for Uncertain Markov Random Fields
Abstract Views :540 |
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Authors
Affiliations
1 Dept. of Computer Science and Engineering, JNTUK UCEV, Vizianagaram
2 Dept. of Information Technology, JNTUK UCEV, Vizianagaram
1 Dept. of Computer Science and Engineering, JNTUK UCEV, Vizianagaram
2 Dept. of Information Technology, JNTUK UCEV, Vizianagaram
Source
International Journal of Computational Intelligence Research, Vol 9, No 1 (2013), Pagination: 1-6Abstract
Feature generation algorithms for searching globally useful features using traditional Markov network structures is now a days in wide practice. The composition of a Markov network can be represented one of two ways. The first approach is to treat this task as a global search problem. However, these algorithms are slow as they require running the expensive operation of weight learning many times. The second approach involves learning a set of local models and then combining them into a global model. However, it can be computationally expensive to learn the local models for datasets that contain a large number of variables and/or examples.
In this paper, we follow a third approach that views Markov network structure learning as a feature generation problem. For this we used an algorithm DTSL (Decision Tree Structured Learner) which combines a data-driven, adhoc-to-generic search strategy with randomization for quickly generating a large set of candidate features that all have support in the data. In addition to that it uses weight learning, using forest of uncertain decision trees to select a subset of generated features for making feature generation process more accurate and effective.
Keywords
Markov Networks, Rough Decision Trees, Likelihood, DTSL, Inference
References
- Daniel Lowd and Jesse Davis” Learning Markov Network Structure with Decision Trees”, IEEE International Conference on Data Mining, 2010, 334-343.
- Daniel Lowd and Pedro Domingos, “Efficient weight learning for Markov logic networks”, Eleventh European Conference on Principles and Practice of Knowledge Discovery in Databases, 2007, 200—211.
- A. Kulesza and F. Pereira, “Structured learning with approximate inference,” in NIPS 20, 2007, pp. 785–792.
- J. Davis and P. Domingos, “Bottom-up learning of Markov network structure,” in Proceedings of the Twenty-Seventh International Conference on Machine Learning. Haifa, Israel: ACM Press, 2010.
- H. Poon and P. Domingos, “Sound and efficient inference with probabilistic and deterministic dependencies,” in Proc.AAAI’06, 2006, pp. 458–463.
- S. Della Pietra, V. Della Pietra, and J. Lafferty, “Inducing features of random fields,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, pp. 380–392, 1997.
- P. Ravikumar, M. J. Wainwright, and J. Lafferty, “Highdimensionalising model selection using L1-regularized logistic regression,” Annals of Statistics, 2009.
- Stanley Kok, Pedro Domingos “Learning the structure of Markov logic networks” 22nd international conference on Machine learning, 441 – 448.
- http://archive.ics.uci.edu/ml/datasets/Mushroom.
- Digital Rights Management for Audio Files Using Two-Level Encryption Techniques
Abstract Views :177 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Science and Engineering, Annamalai University, Tamilnadu, IN
1 Department of Computer Science and Engineering, Annamalai University, Tamilnadu, IN
Source
Digital Signal Processing, Vol 3, No 6 (2011), Pagination: 289-292Abstract
Internet provides a way for people to access digital resources such as e-books, multimedia files and software etc. However, access and distribution of digital resources over the Internet have done harm to media providers, by capturing and re-distributing the digital resources by end users. Hence, intellectual property rights protection has become a major issue nowadays. Using secure communication over Internet can solve this issue. Secure communication needs two major concerns, i.e. authentication and content protection. The proposed system uses the concepts of digital right management to provide integrity service and security against replay.Keywords
Authorization, Audio File, Encryption, Security.- Estimation of Wide Band Radar Cross Section (RCS) of Regular Shaped Objects Using Method of Moments (MOM)
Abstract Views :166 |
PDF Views:0
Authors
Affiliations
1 Center for Advanced Research, Department of Electronics and Communication Engineering, Muthayammal Engineering College, IN
1 Center for Advanced Research, Department of Electronics and Communication Engineering, Muthayammal Engineering College, IN
Source
ICTACT Journal on Communication Technology, Vol 3, No 2 (2012), Pagination: 536-541Abstract
Modern fighter aircrafts, ships, missiles etc need to be very low Radar Cross Section (RCS) designs, to avoid detection by hostile radars. Hence accurate prediction of RCS of complex objects like aircrafts is essential to meet this requirement. A simple and efficient numerical procedure for treating problems of wide band RCS prediction Perfect Electric Conductor (PEC) objects is developed using Method of Moment (MoM). Implementation of MoM for prediction of RCS involves solving Electric Field Integral Equation (EFIE) for electric current using the vector and scalar potential solutions, which satisfy the boundary condition that the tangential electric field at the boundary of the PEC body is zero. For numerical purposes, the objects are modeled using planar triangular surfaces patches. Set of special sub-domain type basis functions are defined on pairs of adjacent triangular patches. These basis functions yield a current representation free of line or point charges at sub-domain boundaries. Once the current distribution is obtained, dipole model is used to find Scattering field in free space. RCS can be calculated from the scattered and incident fields. Numerical results for a square plate, a cube, and a sphere are presented over a bandwidth.Keywords
Dipole Model, Method of Moment (MoM), Perfectly Electric Conductor (PEC), Radar Cross Section (RCS), Triangular Patch Model.- Optimized Behaviour of MIMO System under Different Equalization Techniques and Modulation Schemes over Rayleigh and Rician Fading Channels
Abstract Views :121 |
PDF Views:0
Authors
Affiliations
1 Dept. of ECE, SRK Institute of Technology, Vijayawada, Andhra Pradesh, IN
1 Dept. of ECE, SRK Institute of Technology, Vijayawada, Andhra Pradesh, IN
Source
International Journal of Scientific Engineering and Technology, Vol 2, No 9 (2013), Pagination: 830-834Abstract
Wireless communications using Multiple-Input Multiple-Output (MIMO) links has emerged as one of the most significant breakthroughs in modern communications because of the huge capacity and reliability gains promised even in worst fading environment. This paper presents the optimized behaviour of MIMO systems over Rayleigh and Rician Fading channel environments. MIMO transmission systems are investigated in terms of Bit Error Rate (BER) performance. BER performance of MIMO systems is simulated for different transmit-receiver combinations such as 2×2, 2×3 and 2×4 using BPSK and QPSK modulation schemes and various equalization techniques such as Zero Forcing (ZF), Minimum Mean Square Error (MMSE) and Maximum Likelihood (ML). Results show that the BER performance of a MIMO system using BPSK modulation and ML equalizer over Rician fading channel is optimum compared to the choice of other modulation schemes, equalizers and fading channels.Keywords
MIMO, ZF, MMSE and ML Equalizers, Multiple Antennas, Fading Channels, BPSK, QPSK, BER.Full Text
- Coping with Hailstorm in Vulnerable Deccan Plateau Region of India:Technological Interventions for Crop Recovery
Abstract Views :206 |
PDF Views:71
Authors
S. K. Bal
1,
P. S. Minhas
1,
Yogeshwar Singh
1,
Mahesh Kumar
1,
D. P. Patel
1,
J. Rane
1,
P. Suresh Kumar
1,
P. Ratnakumar
1,
B. U. Choudhury
1,
N. P. Singh
1
Affiliations
1 ICAR-National Institute of Abiotic Stress Management, Malegaon, Baramati, Pune 413 115, IN
1 ICAR-National Institute of Abiotic Stress Management, Malegaon, Baramati, Pune 413 115, IN
Source
Current Science, Vol 113, No 10 (2017), Pagination: 2021-2027Abstract
Vulnerability of agriculture to climate change is becoming increasingly apparent in recent years. During 2014 and 2015, India experienced trails of unusually widespread and untimely hailstorm events. The increased frequency of hailstorm events, especially in vulnerable ecosystem of Deccan Plateau region of India demanded appropriate measures to minimize adverse impact on agricultural crops. Therefore some of the post-hail measures including nutritional supplement, plant bio-regulators and canopy management were evaluated in field trials conducted at Maharashtra, India during 2014 and 2015. Amongst these, pruning of the hardy and indeterminate eggplant crop induced effective branches, which produced more flowers and fruits. Nitrogen supplemented with urea drenching and stress alleviating effects of salicylic acid promoted recovery in maize while drenching with humic acid along with spraying of potassium nitrate improved productivity of onion. These studies indicate the potential of technological interventions to cope with extreme events such as hailstorms.Keywords
Bio-Regulators, Canopy Management, Crop Recovery, Hail-Damaged Crops, Nutritional Supplements.Full Text
References
- IPCC, Climate Change, Climate Change Impacts, Adaptation and Vulnerability, Working Group II Contribution to the Intergovernmental Panel on Climate Change Fourth Assessment Report, Summary for Policy Makers, Cambridge University Press, UK, 2007, p. 23.
- Nicolaides, K. A. et al., The impact of hail storms on the agricultural economy of Cyprus and their characteristics. Adv. Geosci., 2009, 17, 99–103.
- Bartolo, M. E., Scwartz, H. F. and Schweissing, F. C., Yield and growth response of onion to simulated storm damage. Hort. Sci., 1994, 29(12), 1465–1467.
- Fernandes, G. W., Oki, Y., Sales, N. M., Quintini, A. V., Freitas, C. and Caires, T. B., Hailstorm impact across plant taxa: leaf fall in a mountain environment. Neotropical. Biol. Conserv., 2012, 7(1), 8–15; doi: 4013/nbc.2012.71.02.
- Bal, S. K. and Minhas, P. S., Atmospheric stressors: challenges and coping strategies. In Abiotic Stress Management for Resilient Agriculture (eds Minhas et al.), Springer, 2017, pp. 9–50; doi:10.1007/978-981-10-5744-1_2.
- Hughes, P. and Wood, R., Hail: the white plague. Weatherwise, 1993, 46, 16–21; doi:10.1080/ 00431672.1993.9930228.
- Chattopadhyay, N., Ghosh, K. and Chandras, S. V., Agrometeorological advisory to assist the farmers in meeting the challenges of extreme weather events. Mausam, 2016, 67(1), 277–288.
- Bal, S. K., Saha, S., Fand, B. B., Singh, N. P., Rane, J. and Minhas, P. S., Hailstorms: causes, damage and post-hail management in agriculture. NIASM Technical Bulletin No. 5, ICAR-National Institute of Abiotic Stress Management, Malegaon, Baramati, Pune, Maharashtra, India, 2014, pp. 44; doi:10.13140/2.1.4841.7922.
- Pautasso, M., Doring, T. F., Garbelotto, M., Pellis, L. and Jeger, M. J., Impacts of climate change on plant diseases-opinions and trends. Eur. J. Plant Pathol., 2012, 133, 295–313 (published online on 12 January 2012); doi:10.1007/s10658-012-9936-1.
- Badr, M. A. and Abou El-Yazied, A. A., Effect of fertigation frequency from sub-surfacedrip irrigation on tomato yield grown on sandy soil. Aust. J. Basic Appl. Sci., 2007, 1(3), 279–285.
- Boyhan, G. E., Granberry, D. M. and Kelley, W. T., Onion Production Guide, 2001, Univ. of Georgia Bul. No. 1198.
- Ratnakumar, P., Deokate, P. P., Rane, J., Jain, N., Kumar, V., Berghe, P. and Minhas, P. S., Effect of ortho-silicic acid exogenous application on wheat (Triticum aestivum L.) under drought. J. Funct. Environ. Bot., 2016, 6(1), 34–42; doi:10.5958/2231-1750.2016.00006.8.
- Srivastava, A. K., Ratnakumar, P., Minhas, P. S. and Suprasanna, P., Plant bioregulators for sustainable agriculture: integrating redox signaling as a possible unifying mechanism. Adv. Agron., 2016, 2(137), 237–238; doi:10.1016/bs.agron.2015.12.002.
- Biondi, F. A., Figholia, A., Indiati, R. and Izza, C., Effects of fertilization with humic acids on soil and plant metabolism: a multidisciplinary approach. Note III: phosphorus dynamics and behaviour of some plant enzymatic activities. In Humic Substances in the Global Environment and Implications on Human Health (eds Senesi, N. and Miano, T. M.), Elsevier, New York, 1994, pp. 239–244.
- Abdel-Mawgoud, M. A. E., Greadly, M. R. N., Helmy, Y. I. and Singer, S. M., Responses of tomato plants to different rates of humic based fertilizer and NPK fertilization. J. Appl. Sci. Res., 2007, 3, 169–174.
- Motaghi, S. and Tayeb, S. N., The effect of different levels of humic acid and potassium fertilizer on physiological indices of growth. Int. J. Biosci., 2014, 5(2), 99–105; doi:10.12692/ijb/5.2.99-105.
- Frink, C. R., Waggoner, P. E. and Ausubel, J. H., Nitrogen fertilizer: retrospect and prospect. Proc. Natl. Acad. Sci., 1999, 96, 1175–1180; doi:10.1073/ pnas.96.4.1175.
- Mahmood, M. T., Maqsood, M., Awan, T. H. and Sarwar, R., Effect of different levels of nitrogen and intra-row plant spacing on yield and yield components of maize. Pak J. Agric. Sci., 2001, 38, 48–49.
- Vazirimehr, M. R. and Rigi, K., Effect of salicylic acid in agriculture. Int. J. Plant. Anim. Environ. Sci., 2014, 4(2), 291–296.
- Khan, W., Prithviraj, B. and Smith, D. L., Photo-synthetic responses of corn and soybean to foliar application of salicylates. J. Plant Physiol., 2003, 160, 485–492; doi:10.1078/0176-1617-00865.
- Khodary, S. F. A., Effect of salicylic acid on the growth, photosynthesis and carbohydrate metabolism in salt stressed maize plants. Int. J. Agric. Biol., 2004, 6, 5–8.
- Singh, B. and Usha, K., Salicylic acid induced physiological and biochemical changes in wheat seedlings under water stress. Plant Growth Regul., 2003, 39, 137–141; doi:10.1023/A:1022556103536.
- Ambroszczyk, A. M., Cebula, S. and Sekara, A., The effect of shoot training on yield, fruit quality and leaf chemical composition of eggplant in greenhouse cultivation. Folia Horticulturae, 2007, 20(2), 3–15.
- Tinni, T. B. R., Ali, M. A., Mehraj, H., Mutahera, S. and Jamal-Uddin, A. F. M., Effect of pruning technique on growth and yield of Brinjal. J. Exp. Biosci., 2014, 5(1), 55–60.
- Tongumpai, P., Charnwichit, S., Srisuchon, S. and Subhadrabandhu, S., Effect of thiourea on terminal bud break of mango. Acta Hortic., 1997, 455, 71–75; doi.10.17660/ActaHortic.1997.455.10.
- Rane, J., Lakkineni, K. C., Kumar, P. and Abrol, Y. P., Salicylic acid protects nitrate reductase activity of wheat (Triticum aestivum L.) leaves. Plant Physiol. Biochem., 1995, 22(2), 119–121.
- Lakkineni, K. C., Rane, J., Kumar, P. A. and Abrol, Y. P., Thiol compounds support nitrate reductase activity in vivo in the leaves of Brassica campestris. Indian J. Exp. Biol., 1995, 34, 387–389.
- Sivakumar, M. V. K., Motha, R. P. and Das, H. P., Natural Disaster and Extreme Events in Agriculture: Impacts and Mitigation. Springers Science and Business Media, 2005, p. 367.
- Chaum, S., Siringam, K., Juntawong, N. and Kirdmanee, C., Water relations, pigment stabilization, photosynthetic abilities and growth improvement in salt stressed rice plants treated with exogenous potassium nitrate application. Int. J. Plant Prod., 2012, 4(3), 187–198.
- Garg, B. K., Burman, U. and Kathju, S., Influence of Thiourea on photosynthesis, nitrogen metabolism and yield of clusterbean (Cyamopsistetragonoloba (L.) Taub.) under rainfed conditions of Indian Arid Zone. Plant Growth Regul., 2006, 48(3), 237–245.
- Sivasankar, A., Lakkineni. K. C., Rane, J., Kumar, P. A., Nair, T. V. R. and Abrol, Y. P., Photosynthetic characteristics of urea-treated wheat (Triticum aestivum L.). J. Plant Nutr., 1995, 18, 2213–2217.
- Solar Piezo Hybrid Power Charging System
Abstract Views :210 |
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Authors
Source
Wireless Communication, Vol 10, No 7 (2018), Pagination: 127-130Abstract
The use of Renewable resources like the solar energy and various other clean sources of energy has been an increase in demand in the recent years due to their case in availability and low cost. This project demonstrates of people walking over piezo based foot board. The solar panel is used to harness the solar power. It converts the solar power into voltage, which when more than the voltage in the battery is able to charge the battery. The power available through the solar panel is sensed by an Atmega family microcontroller which is displayed on the LCD. Similarly, the power generated through foot step over piezo foot board is shown in LCD. In this case, the foot step count is also displayed on the LCD along with the voltage generated by that particular foot step, in this way one can charge the battery, through solar and foot step energies while simultaneously also monitoring of how much is getting generated with the use of solar piezo hybrid power charging system. The output is also displayed in web page using wifi module to enhance the field of Internet of Things Technology.