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Co-Authors
- Brajendra
- V. N. Mishra
- V. P. Bhadana
- Vijaypal Bhadana
- Suneetha Kota
- M. Mahadevaswamy
- Rajkamal Patel
- Madan Prasad Paikara
- Gulab Chand
- R. K. Bajpai
- Shashikant Sahu
- Madan Prasad Paikra
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- Alok Pandey
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- Anup Das
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- Priyanka Mehrotra
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- Venkata Reddy
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Journals
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Patel, Himanshu
- Studies on Phenological Characters and Yield Attributes of Rice Genotypes at Graded Levels of Phosphorus
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Authors
Affiliations
1 Indira Gandhi Krishi Vishwavidyalaya, Raipur (C.G.), IN
2 Indian Council of Agricultural Research, Indian Institute of Rice Research, Hyderabad (Telangana), IN
1 Indira Gandhi Krishi Vishwavidyalaya, Raipur (C.G.), IN
2 Indian Council of Agricultural Research, Indian Institute of Rice Research, Hyderabad (Telangana), IN
Source
International Journal of Plant Sciences, Vol 11, No 2 (2016), Pagination: 198-202Abstract
Phosphorus is one of the most limiting nutrients for plant growth in soil in both acidic and alkaline soils. To screen the genotypes for their P use efficiency and response to its application the genotypes need to be grown under different gradients so as to compare their performance under different regimes of P application. Therefore, low P plots were divided into 4 sub-plots with different gradients (0,20,40 and 60 kg P2O5/ha, respectively). Results showed that at 0 (absolute control) level of P2O5, rice genotypes differed widely among all the phenological and yield attributing characters studied. Root length measured was recorded lowest for Mahsuri cultivar (18cm) whereas highest ischolar_main length at maturity stage was recorded for Vikas and Vasumati cultivars (26cm each). At 20 Kg P2O5/ha level, ischolar_main length measured was recorded lowest for Mahsuri cultivar (19cm) whereas highest ischolar_main length at maturity stage was recorded for Akshaydhan cultivar (30cm). At 40 Kg P2O5/ha level, ischolar_main length measured was recorded lowest for MTU 1010 cultivar (20cm) whereas highest ischolar_main length at maturity stage was recorded for Vasumati cultivar (30cm). Similarly At 60 Kg P2O5/ha level, for plant height the values ranged from a low of 58cm for Rp-bio-226 cultivar to a high of 99cm for Vardhan cultivar. Significant but not steep variations were noticed among cultivars for ischolar_main length, flag leaf length and effective number of tillers characteristics at maturity stage.Keywords
Phenological Characters, Yield Attributes, Rice Genotypes, Phosphorus.
References
- Batjes, N.H. (1997). A world data set of derived soil properties by FAO-UNESCO soil unit for global modelling. Soil Use Mgmt., 13 : 9-16.
- Bates, T.R. and Lynch, J.P. (2000). The efficiency of Arabidopsis thaliana ischolar_main hairs in P acquisition. Am. J. Bot., 87 : 964-970.
- Cakmak, I. (2002). Plant nutrition research: Priorities to meet human needs for food in sustainable ways. Plant Soil, 247 : 3–24.
- Elser, J.J. (2012). Phosphorus: a limiting nutrient for humanity? Curr. Opin. Biotech., 23 (1): 6-8.
- Gahoonia, T.S. and Nielsen, N.E. (2004). Root traits as tools for creating phosphorus efficient crop varieties. Plant Soil, 260 : 47-57.
- Hash, C.T., Schaffert, R. E. and Peacock, J. M. (2002). Prospects for using conventional techniques and molecular biological tools to enhance performance of ‘orphan’ crop plants on soils low in available phosphorus. Plant Soil, 245 : 135–146.
- Lambers, H., Shan, M.W., Cramer, M.D., Pearse, S.J. and Veneklaas, E.J. (2006). Root structure and functioning for efficient acquisition of phosphorus: matching morphological and physiological traits. Ann. Bot., 98 : 693-713.
- Lynch, J.P. (2011). Root phenes for enhanced soil exploration and phosphorus acquisition: tools for future crops. Plant Physiol., 156 : 1041-1049.
- Raghothama, K.G. (1999). Phosphate acquisition. Annu. Rev. Plant Physiol. Plant Mol. Biol., 50 : 665–693.
- Ramaekers, L., Remans, R., Rao, I.M., Blair, M.W. and Vanderleyden, J. (2010). Strategies for improving phosphorus acquisition efficiency of crop plants. Field Crop Res., 117 : 169-176.
- Rao, A.S. (2010). Managing phosphorus for higher efficiency and environmental quality. J. Ind. Soc. Soil Sci., 58 : 4–14.
- Rengel, Z. (1999). Physiological mechanisms underlying differential nutrient efficiency of crop genotypes. In : Mineral nutrition of crops. Fundamental Mechanisms and Implications. pp. 227–265. Haworth Press, NEW YORK, U.S.A.
- Tiwari, K.N. (2001). Phosphorus needs of Indian soils and crops. Better Crops Int., 15 : 6-10.
- Vance, C.P., Uhde-Stone, C. and Allan, D.L. (2003). Phosphorus acquisition and use: critical adaptations by plants for securing a nonrenewable resource. New Phytol., 157 : 423–447.
- Wissuwa, M., Wegner, J., Ae, N. and Yano, M. (2002) Substitution mapping of Pup1: A major QTL increasing phosphorus uptake of rice from a phosphorus-deficient soil. Theor. App. Gen., 105 : 890–897.
- Yan, F., Schubert, S. and Mengel, K. (1992). Effect of low ischolar_main medium pH on net proton release, ischolar_main respiration and ischolar_main growth of corn (Zea mays L.) and broad bean (Vicia faba L.). Plant Physiol., 99: 415.421.
- Yan, X., Lynch, J. and Beebe, S.E. (1995). Genetic variation for phosphorus efficiency of common bean in contrasting soil types: I. vegetative response. Crop Sci., 35 : 1086–1093.
- Phosphorus Acqisition by Rice
Abstract Views :159 |
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Authors
Himanshu Patel
1,
Brajendra
2,
Vijaypal Bhadana
2,
Suneetha Kota
2,
M. Mahadevaswamy
2,
Rajkamal Patel
1,
Madan Prasad Paikara
1,
Gulab Chand
1,
V. N. Mishra
1
Affiliations
1 Indira Gandhi Krishi Vishwavidyalaya, Raipur (C.G.), IN
2 Indian Institute of Rice Research, Hyderabad (Telangana), IN
1 Indira Gandhi Krishi Vishwavidyalaya, Raipur (C.G.), IN
2 Indian Institute of Rice Research, Hyderabad (Telangana), IN
Source
Asian Journal of Bio Science, Vol 11, No 1 (2016), Pagination: 206-211Abstract
Phosphorus (P) deficiency is one of the of the most important nutritional constraints to rice growth across the globe. The desire to improve the P acquisition efficiency of rice arises because of very low use efficiency of fertilizers and also are not always adequate to overcome the crop production constraints. Fertilizers are a costly input, such that their use limits the profitability of rice farming for high-input or low-input systems and the use of fertilizers for these two rice nutrients is inefficient. Rice-growing environments can be categorized into two very broad categories: ‘upland’ and ‘lowland’. For the purposes of this review, we have explored whether there are other ways by which P acquisition by rice can be emphasized. Also, recent interests in foliar nutrition in rice, we must explore some of the other no traditional ways by which external application of P have been utilized. In this brief review paper, we have also tried to review some of the genotypes which are very efficient in low P tolerance.
Keywords
Phosphorus Acqisition, Rice.- Varietal Performance of Rice for their Yield and its Attributes in Farmers Field of Durg
Abstract Views :185 |
PDF Views:1
Authors
Affiliations
1 Indira Gandhi Krishi Vishwavidyalaya, Raipur (C.G.), IN
1 Indira Gandhi Krishi Vishwavidyalaya, Raipur (C.G.), IN
Source
Asian Journal of Bio Science, Vol 11, No 1 (2016), Pagination: 241-243Abstract
Exploratory studies were undertaken from the farmers field of village Hanoda, Durg district, Chattisgarh to evaluate the performance of different prevailing varieties of rice and to find out suitable variety of rice for lowland rice cultivation under agro climatic conditions. The growth and yield attributes of rice varieties varied significantly. The plant height decreased gradually in the following manner, Mahamaya>MTU 1010>Mahsuri >HMT>Danteshwari variety of rice grown. The maximum plant height (87.00 cm) was recorded with Mahamaya variety which was at par with MTU 1010 and Mahsuri varieteis (86.87 cm and 84.25 cm) and was significantly higher than the HMT (82.37 cm) and Danteshwari (79.75 cm) varieties of rice grown. The number of tillers per plant increased gradually from 249.63 tillers per sq.m in Mahamaya to 284.13 tillers per sq.m in HMT and then decreased in case of Danteshwari. The data on grain yield revealed that significantly higher grain yield (48.00 q/ha) was recorded with HMT variety of rice grown. The grain yields increased gradually from 41.77q/ha in Mahamaya to 48.00 q/ha in HMT and then decreased to 44.12 q/ha in Danteshwari variety of rice crop.
Keywords
Rice, Variety, Yield Attributes, Yield.- Key Biotic and Abiotic Stresses and Rice Germplasm Tolerance
Abstract Views :136 |
PDF Views:0
Authors
Affiliations
1 Crop Research Station (N.D. University of Agriculture and Technology), Masodha (U.P.), IN
2 Indian Institute of Rice Research, Rajendranagar, Hyderabad (Telangana), IN
3 Indira Gandhi Krishi Vishwavidyala, Raipur (C.G.), IN
1 Crop Research Station (N.D. University of Agriculture and Technology), Masodha (U.P.), IN
2 Indian Institute of Rice Research, Rajendranagar, Hyderabad (Telangana), IN
3 Indira Gandhi Krishi Vishwavidyala, Raipur (C.G.), IN
Source
International Journal of Plant Protection, Vol 9, No 1 (2016), Pagination: 337-342Abstract
The productivity of rice and per capita availability in India is quite low. The yield level of a crop reflects many facets of crop growth including environmental factors such as rainfall, temperature, sunlight and humidity and cultural factors such as planting date, row spacing, cultivar selection and tillage method. As a result, the interpretation of a relationship is difficult; however response is likely at low yields at high soil test values. The manuscript attempts to highlight the key soil stresses in rice production of India and comes out with names of some of the promising cultivars/germplasms established all along for addressing such issues.Keywords
Key Biotic, Abiotic Steess, Rice Germplasm.- Comparative Analysis of Segmentation of Tumor from Brain MRI Images Using Fuzzy C-Means and K-Means
Abstract Views :185 |
PDF Views:2
Authors
Affiliations
1 Charotar University of Science and Technology, Changa - 388421, Gujarat, IN
1 Charotar University of Science and Technology, Changa - 388421, Gujarat, IN
Source
Fuzzy Systems, Vol 10, No 1 (2018), Pagination: 14-18Abstract
Background/Objectives: Main aim of this study is to test the advantages and failure of each under varying conditions and finally discover which algorithm is excellent in segmentation of tumor. Statistical Analysis/Findings: In this research work, FCM (Fuzzy C-Means) which is representative object based method and centroid based K-Means, the two important clustering algorithms clustering algorithms are compared, both the methods are clustering based methods. Comparison of both methods has been done in respect of computational cost and accuracy of segmented tumor. Here, testing of both the techniques over 35 images, and got accuracies as: 79.15% by FCM and 94.72% by k-means technique and calculated time elapsed by each technique which is same for all the images and that is: 0.019 second for k-mean and 0.027 second for FCM. It is the challenging task to accurately segment tumor region because of its unpredictable shape and appearance. Application/Improvement: The segmented image contains less but effective information, so ultimately for analysis one may need less memory space and time to process on image. Hence segmented image having high accuracy is considered to direct classification task instead of original brain MRI (Magnetic Resonance Imaging).Keywords
Clustering, Fuzzy C-Means, K-Means, Magnetic Resonance Imaging, Segmentation, Tumor.References
- . Performance Evaluation and Comparative Analysis of Proposed Image Segmentation Algorithm Rajiv Kumar1 and A. M. Arthanariee2
- . Kumar, D. Satheesh, P. Ezhilarasu, J. Prakash, and KB Ashok Kumar. "Assimilated Strong Fuzzy C-means in MR Images for Glioblastoma Multiforme." Indian Journal of Science and Technology 2015, 8(1) pp. 1-8.
- . Ghosh, Soumi, and Dubey S. K. "Comparative analysis of k-means and fuzzy c-means algorithms." International Journal of Advanced Computer Science and Applications 2013, 4(4) pp. 34-39.
- . Rao V. S. and Dr. Vidyavathi S., “Comparative Investigations and Performance Analysis of FCM and MFPCM Algorithms on Iris data”, Indian Journal of Computer Science and Engineering, 2010,1(2), pp. 145-151.
- . Ray, S., and Rose H. Turi. "Determination of number of clusters in k-means clustering and application in color image segmentation." InProceedings of the 4th international conference on advances in pattern recognition and digital techniques 1999, pp. 137-143.
- . Ng, H. P., Ong S. H., Foong K. W. C., Goh P. S., and Nowinski. W. L. "Medical image segmentation using k-means clustering and improved watershed algorithm." In Image Analysis and Interpretation, 2006 IEEE Southwest Symposium onIEEE, 2006, pp. 61-65.
- . Sasirekha, N., and K. R. Kashwan. "Improved segmentation of MRI brain images by denoising and contrast enhancement." Indian Journal of Science and Technology 2015, 8(22).
- . Baraiya N, and Modi. H. "Comparative Study of Different Methods for Brain Tumor Extraction from MRI Images using Image Processing."Indian Journal of Science and Technology (2016). 9 (4), pp. 1-5
- . Dunn JC. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. 1973.
- . Bezdek JC. Pattern recognition with fuzzy objective function algorithms. Kluwer Academic Publishers; 1981.
- . Wu J, Li X, Sun T, Li W. A density-based clustering algo¬rithm concerning neighbourhood balance. Journal of Com¬puter Research and Development. 2010; 47(6):1044–52.
- . Venu, N. and Anuradha B. “Multi kernels Integration for FCM Algorithm for Medical Image Segmentation using Histogram Analysis”, Indian Journal of Science and Technology, 2015 8 (34) pp. 1-8.
- . Hooda, Heena, Om Prakash Verma, and Tripti Singhal. "Brain tumor segmentation: A performance analysis using k-means, fuzzy c-means and region growing algorithm." In Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on IEEE, 2014, pp. 1621-26.
- . Sheshasayee, Ananthi, and P. Sharmila. "Comparative study of fuzzy C means and K means algorithm for requirements clustering." Indian Journal of Science and Technology (2014). 7 (6): 853-57.
- . Wang S, Dai F, Liang B. A path-based clustering algorithm of partition. Information and Control. 2011; 40(1):141–4.
- . Selvakumar, K., L. Sai Ramesh, and A. Kannan. "Enhanced K-Means Clustering Algorithm for Evolving User Groups." Indian Journal of Science and Technology (2015); 8(24): 1-8.
- . Mahalakshmi, S., and T. Velmurugan. "Detection of Brain Tumor by Particle Swarm Optimization using Image Segmentation." Indian Journal of Science and Technology (2015) 8(22): 1-19.
- . Kumar, Rajiv, and A. M. Arthanariee. "Performance evaluation and comparative analysis of proposed image segmentation algorithm." Indian Journal of Science and Technology 2014 7(1): 39-47.
- . Figure 2(a) & 3(a)Input Image [Online]: Available from: felipebeach.wordpress.com. Date Accessed: 5 January 2018
- . Figure 4(a)& 5(a) Input Image [Online]. . Available at: http://www.med.harvard.edu/aanlib/cases/case32/mr1/013.html. Date Accesses: 5 January 2018
- . Figure6 (a) [Online]. Available at: http://www.neurology.org/content/53/3/629/F1.expansion.html. Date Accessed: 8 January 2018
- . Figure 6(a)[Online]. Available at: bensbraintumourblog.blogspot.com.Date Accessed:8 January 2018
- . Figure 6(a) [Online]. Available at: http://www.drtimothysteel.com.au/brain-tumors/. Date Accessed: 8 January, 2018
- . Figure 6(a) [Online]. Available at:http://jessicaoldwyn.blogspot.in/2010_04_01_archive.html. Date accessed: 8 January 8, 2016
- . Jain, Anil K., M. Narasimha Murty, and Patrick J. Flynn. "Data clustering: a review." ACM computing surveys (CSUR) 31, no. 3 (1999): 264-323.
- Automated Irrigation Using IOT:A Comparative Technical Analysis
Abstract Views :196 |
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Authors
Affiliations
1 Department of Electronics & Communication, Charotar University of Science and Technology, Changa-388421, IN
1 Department of Electronics & Communication, Charotar University of Science and Technology, Changa-388421, IN
Source
Fuzzy Systems, Vol 10, No 1 (2018), Pagination: 19-23Abstract
Irrigation in the modern day high agricultural production demanding society plays a direct role in ensuring the balanced cycle of production versus demand. The productivity and the sustainability of balanced outcome can be better managed by implementation of automated control. The project here focuses on to implement a n automated control using certain threshold value ranges on the basis of data collected by the sensors and also provide the data reading to be checked by the farmer in order to realize the necessary details by the basis of any wireless communication system. In this paper, we are using various sensors like soil moisture sensor and humidity and feed the sensor output to the Arduino Uno through zigbee networking protocol. The Arduino processes on input data and actuates the motor driver and other reply to operate the motor which is interface with water pump. Using GSM system, the output is also display on the web server which provides all user control to act remotely. The data is also stored in memory which are utilize for drawing various graphs.Keywords
Internet of Things (IOT), Fuzzy System, Wi-Fi Routers, Arduino Uno, GSM/GPRS Module, Electromagnetic Valves, Zigbee Networking, PAN, Raspberry PI, ESP8266, etc.References
- . Kansara, Karan, Vishal Zaveri, Shreyans Shah, Sandip Delwadkar, and Kaushal Jani. "Sensor based Automated Irrigation System with IOT: A Technical Review." International Journal of Computer Science and Information Technologies 6, no. 6 (2015).
- . Sahu, Chandan Kumar, and Pramitee Behera. "A low cost smart irrigation control system." In Electronics and Communication Systems (ICECS), 2015 2nd International Conference on, IEEE, 2015, pp. 1146-1152.
- . Malge, Sangamesh, and Kalyani Bhole. "Novel, low cost remotely operated smart irrigation system." In Industrial Instrumentation and Control (ICIC), 2015 International Conference on, IEEE, 2015, pp. 1501-1505.
- . Zaier, Riadh, Slim Zekri, Hemanatha Jayasuriya, Abbas Teirab, Nabil Hamza, and Hamed Al-Busaidi. "Design and implementation of smart irrigation system for groundwater use at farm scale." In Modelling, Identification and Control (ICMIC), 2015 7th International Conference on, IEEE, 2015, pp. 1-6.
- . Srinivasa, K. G., Nabeel Siddiqui, and Abhishek Kumar. "ParaSense--A Sensor Integrated Cloud Based Internet of Things Prototype for Real Time Monitoring Applications." In Region 10 Symposium (TENSYMP), 2015 IEEE, IEEE, 2015, pp. 53-57.
- . Anagnostopoulos, Theodoros, Arkady Zaslavsy, Alexey Medvedev, and Sergei Khoruzhnicov. "Top--k Query Based Dynamic Scheduling for IoT-enabled Smart City Waste Collection." In Mobile Data Management (MDM), 2015 16th IEEE International Conference on, vol. 2, IEEE, 2015, pp. 50-55.
- . El-Bendary, N., Fouad, M.M.M., Ramadan, R.A., Banerjee, S. and Hassanien, A.E., 2013. Smart environmental monitoring using wireless sensor networks. Wireless Sensor Networks: From Theory to Applications; El Emary, IMM, Ramakrishnan, S., Eds, pp.731-755.
- . Nagothu, Sudheer Kumar. "Weather based Smart watering system using soil sensor and GSM." In Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave), World Conference on, IEEE, 2016, pp. 1-3.
- . Suba, G. Merlin, Y. M. Jagadeesh, S. Karthik, and E. Raj Sampath. "Smart irrigation system through wireless sensor networks." ARPN Journal of Engineering and Applied Sciences 10, no. 17 (2015).
- . Rane, Ms Deweshvree, P. G. Scholar-VLSI, and Sevagram BDCE. "Review paper based on automatic irrigation system based on RF module." PG Scholar-VLSI, Sevagram, Wardha, india, IJAICT, ISSN (2014): 2348-9928.
- . Raut, R., H. Varma, C. Mulla, and Vijaya Rahul Pawar. "Soil Monitoring, Fertigation, and Irrigation System Using IoT for Agricultural Application." In Intelligent Communication and Computational Technologies, Springer, Singapore, 2018, pp. 67-73.
- . D. H. Stefanov and Z. Bien, The Smart House for Older Persons and Persons with Physical Disabilities: Structure, Technology Arrangements, and Perspectives, IEEE Trans- actions On Neural Systems And Rehabilitation Engineering, Vol. 12, No. 2, June 2004, pp. 228-250.
- . F. Bonomi, R. Milito, J. Zhu, and S. Addepalli, “Fog computing and its role in the internet of things,” Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, ser. MCC’12. ACM (2012), pp. 13–16.
- . M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, “A view of cloud computing,” Commun. ACM, vol. 53, no. 4, (2010), pp. 50– 58.
- . Bagula, A., Castelli, L and Zennaro, M.: On the design of smart parking networks in the smart cities: An optimal sensor placement model, Sensors, (2015), Vol.15, No.7, pp.15443- 15467.
- IoT Based Air Pollution and Garbage Monitoring System
Abstract Views :187 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics & Communication, Charotar University of Science and Technology, Changa-388421, IN
1 Department of Electronics & Communication, Charotar University of Science and Technology, Changa-388421, IN
Source
Fuzzy Systems, Vol 10, No 2 (2018), Pagination: 40-44Abstract
The Internet on Things(IOT) offerings are changing urban communities by enhancing framework, making more proficient and financially savvy metropolitan administrations, improving open transportation, and keeping residents protected and more occupied with the group. Garbage creates unhygienic condition for the people and creates bad odor around the surroundings. It is detrimental some deadly diseases & human illness. Air pollution is the world’s deadliest environmental problem. The main source of air pollution happens due to vehicles. It affects men, animals, plants, forests, and also has a solids effect on atmosphere. It is detrimental to human health causing major respiratory disorders. In Previous years in city all Trash can is full or not is check by municipal worker manually and in air pollution there are measure harmful gases are separately to avoid all such situations I am going to implement a project called IOT Based Air Pollution & Garbage Monitoring system in which i will monitor the Air Quality and garbage detection over a web server using internet and use MQ-135 gas Sensor is measure all gases like CO2, smoke, alcohol, NH3 and benzene.Keywords
Internet on Things (IOT), Fuzzy System, Garbage Control, Air Pollution, MQ-135 Gas Sensor, Ultrasonic Sensor.References
- . Khodve, Shilpa R., and A. N. Kulkarni. "Web Based Air Pollution Monitoring System (Air Pollution Monitoring Using Smart Phone)." International Journal of Science and Research (IJSR) 5, no. 3 (2016), pp. 266-269.
- . Rushikesh, Ramagiri, and Chandra Mohan Reddy Sivappagari. "Development of IoT based vehicular pollution monitoring system." In Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on, IEEE, 2015, pp. 779-783.
- . Montanaro, Teodoro, Fulvio Corno, Carmelo Migliore, and Pino Castrogiovanni. "SmartBike: an IoT Crowd Sensing Platform for Monitoring City Air Pollution." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 6 (2017), pp. 3602-3612.
- . Dev, Abhishek, Maneesh Jasrotia, Muzammil Nadaf, and Rushabh Shah. "IoT Based Smart Garbage Detection System." International research journal of engineering and technology (IRJET) 3 (2016).
- . Kumar, N. Sathish, B. Vuayalakshmi, R. Jenifer Prarthana, and A. Shankar. "IOT based smart garbage alert system using Arduino UNO." In Region 10 Conference (TENCON), 2016 IEEE, IEEE, 2016, pp. 1028-1034.
- . Bharadwaj, Abhay Shankar, Rainer Rego, and Anirban Chowdhury. "IoT based solid waste management system: A conceptual approach with an architectural solution as a smart city application." In India Conference (INDICON), 2016 IEEE Annual, IEEE, 2016, pp. 1-6.
- . Srinivasa, K. G., Nabeel Siddiqui, and Abhishek Kumar. "ParaSense--A Sensor Integrated Cloud Based Internet of Things Prototype for Real Time Monitoring Applications." In Region 10 Symposium (TENSYMP), 2015 IEEE, IEEE, 2015, pp. 53-57.
- . Anagnostopoulos, Theodoros, Arkady Zaslavsy, Alexey Medvedev, and Sergei Khoruzhnicov. "Top--k Query Based Dynamic Scheduling for IoT-enabled Smart City Waste Collection." In Mobile Data Management (MDM), 2015 16th IEEE International Conference on, vol. 2, IEEE, 2015, pp. 50-55.
- . Yadav, Shambala S. Salunkhe Madhuri D., and Vrushali V. Kulkarni. "IOT Based Waste Monitoring For Smart City." International Journal Of Engineering And Computer Science 6, no. 4 (2017).
- . Wang, H. "Toward a Green Campus with the Internet of Things-the Application of Lab Management." world 7 (2013): 8.
- . El-Bendary, N., Fouad, M.M.M., Ramadan, R.A., Banerjee, S. and Hassanien, A.E., 2013. Smart environmental monitoring using wireless sensor networks. Wireless Sensor Networks: From Theory to Applications; El Emary, IMM, Ramakrishnan, S., Eds, pp.731-755.
- . R. Nagarajan and R. Dhanasekaran, "Implementation of wireless data transmission in monitoring and control," 2013 International Conference on Communication and Signal Processing, Melmaruvathur, 2013, pp. 83-87.
- . Hao Chen, Xueqin Jia and Heng Li, "A brief introduction to IoT gateway," IET International Conference on Communication Technology and Application (ICCTA 2011), Beijing, 2011, pp. 610-613.
- . Gong, Chunye, et al. "The characteristics of cloud computing." 2010 39th International Conference on Parallel Processing Workshops. IEEE, 2010.
- . Z. Mahmood, "Cloud Computing: Characteristics and Deployment Approaches," 2011 IEEE 11th International Conference on Computer and Information Technology, Pafos, 2011, pp. 121-126.
- . L. Atzori, A. Iera, and G. Morabito, “From “smart objects” to “social objects”: The next evolutionary step of the internet of things,” Communications Magazine, IEEE, vol. 52, 2014, pp. 97-105.
- Wireless Robot Interaction Based on Gesture Identification
Abstract Views :184 |
PDF Views:2
Authors
Affiliations
1 Charotar University of Science and Technology, Changa - 388421, Gujarat, IN
1 Charotar University of Science and Technology, Changa - 388421, Gujarat, IN
Source
Fuzzy Systems, Vol 10, No 3 (2018), Pagination: 64-67Abstract
In this digital world human-machine interaction and synchronization is becoming extensive and increased a lot. So, with the new technologies reduced the gap between human and machine to relieve the standard of living. Gesture has played a vital role in deteriorating this gap. This paper is contract with intention and functioning of “WIRELESS ROBOT INTERACTION BASED ON GESTURE IDENTIFICATION” using accelerometer. It controlled with hand gesture and wirelessly controls robot using accelerometer with a small low cost. The algorithm for gesture identification has been developed to substitute the method of usual controlling procedure of robots by way of button etc.Keywords
Gesture, Accelerometer, Robotics, Micro-Controller.References
- . Goodrich, Michael A., and Alan C. Schultz. "Human-robot interaction: a survey." Foundations and trends in human-computer interaction 1, no. 3 (2007): 203-275.
- . PATEL, Varun A. et al. Implementation of 8-Channel Temperature Scanner using Programmable System on Chip 3.Programmable Device Circuits and Systems, [S.l.], v. 4, n. 10, p. 474-479, Jul. 2012. ISSN 0974 – 9624. Available at: . Date accessed: 10 Feb. 2018.
- . AJANI, Mohit K.; DETHADIYA, Bhavin R.; MODI, Hardik P. Implementation of Different Types of Patterns using Propeller Display through Microcontroller. Programmable Device Circuits and Systems, [S.l.], v. 4, n. 8, p. 375-378, Jun. 2012. ISSN 0974 – 9624. Available at: . Date accessed: 10 Feb. 2018.
- . Kang, Seong-Pal, and Jayantha Katupitiya. "A hand gesture controlled semi-autonomous wheelchair." In Intelligent Robots and Systems, 2004.(IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on, vol. 4, pp. 3565-3570. IEEE, 2004.
- . Goyal, Diksha, and Dr SPS Saini. "Accelerometer based hand gesture controlled wheelchair." International Journal on Emerging Technologies 4, no. 2 (2013): 15-20.
- . Bhuiyan, Moniruzzaman, and Rich Picking. "Gesture-controlled user interfaces, what have we done and what’s next." In Proceedings of the Fifth Collaborative Research Symposium on Security, E-Learning, Internet and Networking (SEIN 2009), Darmstadt, Germany, pp. 25-29. 2009.
- . Wachs, Juan Pablo, Mathias Kölsch, Helman Stern, and Yael Edan. "Vision-based hand-gesture applications." Communications of the ACM 54, no. 2 (2011): 60-71.
- . Waldherr, Stefan, Roseli Romero, and Sebastian Thrun. "A gesture based interface for human-robot interaction." Autonomous Robots 9, no. 2 (2000): 151-173.
- . Qian, Kun, Jie Niu, and Hong Yang. "Developing a gesture based remote human-robot interaction system using Kinect." International Journal of Smart Home 7, no. 4 (2013).
- . Malima, Asanterabi Kighoma, Erol Özgür, and Müjdat Çetin. "A fast algorithm for vision-based hand gesture recognition for robot control." (2006): 1-4.
- . Rao, V. S., and C. Mahanta. "Gesture based robot control." In Intelligent Sensing and Information Processing, 2006. ICISIP 2006. Fourth International Conference on, pp. 145-148. IEEE, 2006.
- . AccelarometerAvailable:http://www.analog.com/en/products/mems/accelerometers/adxl335.html#product-overview
- . RFModule Available:https://www.elprocus.com/rf-module-transmitter-receiver/
- . MotorDriverICAvailable:https://2018.robotix.in/tutorial/auto/motor_driver/
- . ATMega32Available:https://www.microchip.com/wwwproducts/en/ATmega32
- . Kaura, Harish Kumar, Vipul Honrao, Sayali Patil, and Pravish Shetty. "Gesture controlled robot using image processing." Int. J. Adv. Res. Artif. Intell 2, no. 5 (2013): 69-77
- . Aggarwal, Love, Varnika Gaur, and Puneet Verma. "Design and implementation of a wireless gesture controlled robotic arm with vision." International Journal of Computer Applications 79, no. 13 (2013).
- . Urban, Martin, and Peter Bajcsy. "Fusion of voice, gesture, and human-computer interface controls for remotely operated robot." In Information Fusion, 2005 8th International Conference on, vol. 2, pp. 8-pp. IEEE, 2005.
- . Naugain, Ajay, Dharmendra Choudhary, Dharmveer Jyani, Kamal Kumar, and Baibhav Bishal. "Accelerometer Controlled Robot." International Journal of Engineering and Management Research (IJEMR) 6, no. 2 (2016): 407-411.
- Fingerprint Based Vehicle Ignition System
Abstract Views :176 |
PDF Views:1
Authors
Affiliations
1 Department of Electronics & Communication, Charotar University of Science and Technology, Changa-388421, IN
1 Department of Electronics & Communication, Charotar University of Science and Technology, Changa-388421, IN
Source
Fuzzy Systems, Vol 10, No 3 (2018), Pagination: 68-72Abstract
Biometric systems have overtime served as robust security mechanisms in various domains. Fingerprints would those most seasoned What's more the vast majority broadly utilized manifestation for biometric distinguishing proof. A basic venture in exploring its preferences is will embrace it for utilization Similarly as An type for security done now existing systems, for example, such that vehicles. This Examine worth of effort concentrates on the utilization of fingerprints to vehicle ignition, concerning illustration contradicted of the customary system for utilizing keys. Those model framework Might a chance to be isolated under the taking after modules: finger impression dissection programming module that acknowledges fingerprints images; fittings interface module and the igniter module. The finger impression distinguishment product empowers fingerprints from claiming substantial clients of the vehicle will make selected previously, a database. In front of whatever client cam wood lighted the vehicle, his/her finger impression picture may be matched against the fingerprints in the database same time clients with no match in the database are kept starting with igniting those vehicle. Control for those igniter of the vehicle may be attained toward sending proper signs of the parallel port of the PC Also consequently of the interface control circuit. This approach would be fruitful to users who want to possess valid and authenticated entry.Keywords
Fingerprint Sensor, Fuzzy Control System, LCD, Microcontroller, Relay Motor, Scanner.References
- . Omidiora, E. O., O. A. Fakolujo, O. T. Arulogun, and D. O. Aborisade. "A Prototype of a Fingerprint Based Ignition Systems in Vehicles." European Journal of Scientific Research62, no. 2 (2011), pp. 164-171.
- . Schwaighofer, Anton. "Sorting it out: Machine learning and fingerprints." Special Issue on Foundations of Information Processing of TELEMATIK 1 (2002), pp.18-20.
- . Engdahl, Tomi. "Parallel port interfacing made easy." (2005).
- . Graevenitz, G. A. "Introduction to fingerprint technology." A&S International 53 (2003), pp. 84-86.
- . Ito, Koichi, Ayumi Morita, Takafumi Aoki, Hiroshi Nakajima, Koji Kobayashi, and Tatsuo Higuchi. "A fingerprint recognition algorithm combining phase-based image matching and feature-based matching." In International Conference on Biometrics, Springer, Berlin, Heidelberg, 2006, pp. 316-325.
- . Omidiora, E. O. "A prototype of knowledge-based system for black face recognition using principal component analysis and fisher discriminant algorithms." Unpublished Ph. D Thesis, Department of Computer Science and Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria (2006)..
- . Omidiora, E. O., O. A. Fakolujo, O. T. Arulogun, and D. O. Aborisade. "A Prototype of a Fingerprint Based Ignition Systems in Vehicles." European Journal of Scientific Research62, no. 2 (2011), pp. 164-171.
- . Gill, Kiran Rana, and Joel Sachin. "Vehicle Ignition using Fingerprint Sensor."
- . Prashantkumar, R., V. C. Sagar, S. Santosh, and Siddharth Nambiar. "Two wheeler vehicle security system." International Journal of Engineering Sciences & Emerging Technologies 6, no. 3 (2013), pp. 324-334.
- . Bhatt, Bhumi, Purvi Kalani, Nayanaben Parmar, and Nikunj Shingala. "Smart Vehicle Security System Using GSM & GPS." International Journal of Engineering and Computer Science 4, no. 06 (2015).
- . Ratha, Nalini K., Shaoyun Chen, and Anil K. Jain. "Adaptive flow orientation-based feature extraction in fingerprint images." Pattern Recognition 28, no. 11 (1995), pp.1657-1672.
- . Farina, Alessandro, Zsolt M. Kovacs-Vajna, and Alberto Leone. "Fingerprint minutiae extraction from skeletonized binary images." Pattern recognition 32, no. 5 (1999), pp. 877-889.
- . Jain, Anil, Lin Hong, and Ruud Bolle. "On-line fingerprint verification." IEEE transactions on pattern analysis and machine intelligence 19, no. 4 (1997), pp. 302-314.
- . Maio, Dario, and Davide Maltoni. "Direct gray-scale minutiae detection in fingerprints." IEEE transactions on pattern analysis and machine intelligence 19, no. 1 (1997), pp. 27-40.
- . Washington, V.L., Driver Id Llc, 1997. Vehicle security system including fingerprint and eyeball part identification. U.S. Patent 5, 686,765.
- Motion Based Home Automation System
Abstract Views :167 |
PDF Views:2
Authors
Affiliations
1 Department of Electronics & Communication, Charotar University of Science and Technology, Changa-388421, IN
1 Department of Electronics & Communication, Charotar University of Science and Technology, Changa-388421, IN
Source
Fuzzy Systems, Vol 10, No 3 (2018), Pagination: 73-77Abstract
Home security is essential for occupant’s convenience and protection. At entry point the system should secured this is the main purpose to design this system .This paper aims to develop a low-cost means of home security system using sensors like motion sensor, PIR sensor etc. In this paper, The of temperature sensor is used to sensed the room temperature and peripherals likes fan, bulb, etc. are used to demonstrate the temperature control. The keypad is used to feed the password for system authentication. The light dependent resistor (LDR) resistor is used to measure the intensity of the light and based on that the mini bulb is controlled automatically. The motion sensor is used to detect the motion in room and automatically control the bulb. Thus the system ensures home security and automation using the various sensors.
Keywords
PIR Sensor, LDR Sensor, Fuzzy System LCD, Microcontroller, Relay, Motor.References
- . Amit Narote, Abhishek Dsilva, Selma Misquitta and Palak Khandelwal (2015), Smart home automation using arm11, International Journal of Current Engineering and Technology, vol. 5, pp. 472-476.
- . Gayatri Kulkarni, Priyanka Gode, Jadi Pratap Reddy and Madhura Deshmukh (2015), Android based smart home system, International Journal of Current Engineering and Technology, vol. 5, pp. 1022-1025.
- . P.Vigneswari, V.Indhu, R.R.Narmatha, A.Sathinisha and J.M.Subashini (2015), Automated security system using surveillance, International Journal of Current Engineering and Technology, vol. 5, pp. 882-884.
- . Jain, S., Vaibhav, A. and Goyal, L., 2014, February. Raspberry Pi based interactive home automation system through E-mail. In Optimization, Reliabilty, and Information Technology (ICROIT), 2014 International Conference on, IEEE, pp. 277-280.
- . Gunge, Vaishnavi S., and Pratibha S. Yalagi. "Smart Home Automation: A Literature Review." International Journal of Computer Applicatios (2016), pp. 6-10.
- . Hadwan, Hamid Hussain, and Y. P. Reddy. "Smart Home Control by using Raspberry PI and Arduino UNO." International Journal of Advanced Research in Computer and Communication Engineering 5, no. 4 (2016): 2278-1021.
- . Saxena, S., Gupta, R., Varshney, S., Singh, S.P. and Kumari, S., 2016. Internet of Things based Home Automation using Raspberry PI. International Journal of Engineering Science and Computing, 6(4).
- . Nayak, Kunal, Siddhesh Jawale, and Ramlalit Yadav. "Smart Home Automation using Raspberry Pi, Motion Sensor and Android with Gesture based Controls."
- . Zappi, Piero, Elisabetta Farella, and Luca Benini. "Pyroelectric infrared sensors based distance estimation." In Sensors, 2008 IEEE, IEEE, 2008 pp. 716-719.
- . Hashimoto, Kazuhiko, Katsuya Morinaka, Nobuyuki Yoshiike, Chihiro Kawaguchi, and Satoshi Matsueda. "People count system using multi-sensing application." In Solid State Sensors and Actuators, 1997. TRANSDUCERS'97 Chicago. 1997 International Conference on, vol. 2, IEEE, 1997 pp. 1291-1294.
- . Rovsing, Poul Ejnar, Peter Gorm Larsen, Thomas Skjødeberg Toftegaard, and Daniel Lux. "A reality check on home automation technologies." Journal of Green Engineering 1, no. 3 (2011), pp. 303-327.
- . Available on: https://thinkrpi.wordpress.com/opencv-andpicamera-board
- . Available on: https://learn.adafruit.com/pir-passiveinfrared-proximity-motion-sensor/overview
- . Available on: http://www.rakeshmondal.info/l293d-motor driver
- . Available on: http://computers.tutsplus.com/tutorials/controlling-dcmotors-using-python-with-a-raspberry-pi--cms-20051
- L- and S-band Polarimetric Synthetic Aperture Radar on Chandrayaan-2 Mission
Abstract Views :262 |
PDF Views:101
Authors
Deepak Putrevu
1,
Sanjay Trivedi
1,
Anup Das
1,
Dharmendra Pandey
1,
Priyanka Mehrotra
1,
S. K. Garg
1,
Venkata Reddy
1,
Shalini Gangele
1,
Himanshu Patel
1,
Devendra Sharma
1,
R. Sijwali
1,
Nikhil Pandya
1,
Amit Shukla
1,
Gaurav Seth
1,
V. M. Ramanujam
1,
Raj Kumar
1
Affiliations
1 Space Applications Centre, Ahmedabad 380 015, IN
1 Space Applications Centre, Ahmedabad 380 015, IN
Source
Current Science, Vol 118, No 2 (2020), Pagination: 226-233Abstract
Dual-frequency Synthetic Aperture Radar (SAR) operating in L- and S-band frequencies is one of the primary payloads of the Chandrayaan-2 orbiter. This payload with the capability of imaging in dual frequency (L-band: 24 cm wavelength and S-band: 12 cm wavelength) with full polarimetric mode aims for unambiguous detection, characterization and quantitative estimation of water-ice in permanently shadowed regions over the lunar poles. The payload will address the ambiguities in interpreting high values of circular polarization ratio associated with water-ice observed during previous missions to the Moon through imaging in dual-frequency fully polarimetric SAR mode. Various improved system features such as wide range of resolutions and incidence angles, synchronized Land S-band operations, radiometer mode, are built into the instrument to meet the required science objectives, adhering to stringent mission requirements of low mass, power and data rates. Major scientific objectives of dual-frequency polarimetric SAR payload are: unambiguous detection and quantitative estimation of lunar polar water-ice; estimation of lunar regolith dielectric constant and surface roughness; mapping of lunar geological/morphological features and polar crater floors at high-resolution, and regional- scale mapping of regolith thickness and distribution.Keywords
Circular Polarization Ratio, Dual Frequency, Lunar Polar Water-ice, Synthetic Aperture Radar.Full Text
References
- Spudis, P. D. et al., MiniSAR: an imaging radar experiment for Chandrayaan-1 mission to the Moon. Curr. Sci., 2009, 96(4), 533– 539.
- Spudis, P. D. et al., Initial results for the North Pole of the Moon from Mini-SAR, Chandrayaan-1 mission. Geophys. Res. Lett., 2010, 37, L06204; doi:10.1029/2009GL042259.
- Mohan, S., Das, A. and Chakraborty, M., Investigation of polarimetric properties of lunar surface using Mini-SAR data. Curr. Sci., 2011, 101(2), 159–164.
- Mohan, S., Saran, S. and Das, A., Scattering mechanism-based algorithm for improved mapping of water-ice deposits in the lunar polar regions. Curr. Sci., 2013, 105(11), 1579–1587.
- Pieters, C. M. et al., Character and spatial distribution of OH/H2O on the surface of the Moon seen by M3 on Chandrayaan-1, Science, 2009, 326, 568–572.
- Spudis, P. D. et al., Evidence for water ice on the Moon: results for anomalous polar craters from the LRO Mini‐RF imaging radar, J. Geophys. Res.: Planets, 2013, 118, 2016–2029.
- Mishra, P., Kumar, S. and Singh, D., An approach for finding possible presence of water ice deposits on Lunar craters using MiniSAR data. IEEE J. Sel. Topics Appl. Earth Obs. Remote Sensing, 2015, 8(1), 30–38.
- Fa, W., Wieczorek, M. A. and Heggy, E., Modeling polarimetric radar scattering from the lunar surface: study on the effect of physical properties of the regolith layer. J. Geophys. Res., 2011, 116, E03005; doi:10.1029/2010JE003649.
- Pandey, D., Saran, S., Das, A. and Chakraborty, M., A simplistic approach to model radar backscatter from lunar regolith. In 44th Lunar and Planetary Science Conference (LPSC), Abstr. 1941, 2013.
- Pandey, D., Das, A., Saran, S. and Chakraborty, M., Scattering characteristics of lunar regolith with respect to dual-frequency SAR: preliminary simulation results. In LPSC XLIV, Abstr. 126, 2013.
- Putrevu, D., Das, A., Vachhani, J. G., Trivedi, S. and Misra, T., Chandrayaan-2 Dual-frequency SAR: further investigation into lunar water and regolith. Adv. Space Res., 2016, 57, 627–646.
- Campbell, B. A., Grant, J. A. and Maxwell, T., Radar penetration in Mars analog environments. In LPSC XXXIII, Abstr. #1616, 2002.
- Bell, W. S., Thomson, B. J., Dyar, M. D., Neish, C. D., Cahill, J. T. S. and Bussey, D. B. J., Dating small fresh lunar craters with Mini-RF radar observations of ejecta blankets. J. Geophys. Res., 2012, 117, E00h30.
- Desai J. Ami, Mohan, S. and Murty, S. V. S., Impact ejecta characterization for small-sized fresh and degraded lunar craters using radar data. Curr. Sci., 2016, 110(10), 1929–1938.
- Raney, R. K., Hybrid-polarity SAR architecture. IEEE Trans. Geosci. Remote Sensing, 2007, 45, 3397–3404.
- Chan, Y. K., Chung, B. K. and Chuah, H. T., Transmitter and receiver design of an experimental airborne synthetic aperture radar sensor. Progress. Electromagn. Res., 2004, 49, 203–218.
- Vijayan, S., Mohan, S. and Murty, S. V. S., Lunar regolith thickness estimation using dual frequency microwave brightness temperature and influence of vertical variation of FeO + TiO2. Planet. Space Sci., 2015, 105, 123–132.