Archive

The health care system which is using a Database is a well-known method for storing information. In regular database systems, sometimes because of existence of huge data it is not possible to fulfill the user's criteria and to provide them with the exact the information that they need to make a decision. However, this analysis accuracy is reduced when the quality of medical data is incomplete. The Healthcare system is far from optimal and tedious to undergo. These huge record sets can be processed and learned for better and automated medication. So this can be done with machine learning systems to evaluate the patient, diagnose them and to prescribe them with medicine. Moreover, different regions exhibit unique characteristics of certain regional diseases, which may weaken the prediction of disease outbreaks. With big data growth in biomedical and healthcare communities, this can be overcome by providing more accurate analysis. So using machine learning algorithms effective prediction of diseases can be done and providing with precise medicine for the disease.

Keywords : Disease Prediction, Drug Prediction, Machine Learning

Recent

[1] G. Lopez, V. Custodio, and J. I. Moreno, “LOBIN: E-textile and wireless-sensor-network-based platform for healthcare monitoring in future hospital environments,” IEEE Trans. Information Technology in Biomedicine, vol. 14, no. 6, pp. 1446–1458, 2010. [2] A.M. Nia, M. Mozaffari-Kermani, S. Sur-Kolay, A. Raghunathan, and N. K. Jha, “Energy-efficient long-term continuous personal health monitoring,” IEEE Trans. Multi-Scale Computing Systems, vol. 1, no. 2, pp. 85–98, 2015. [3] M. Mozaffari-Kermani, S. Sur-Kolay, A. Raghunathan, and N. K. Jha, “Systematic poisoning attacks on and defenses for machine learning in healthcare,” IEEE J. Biomedical and Health Informatics, vol. 19, no. 6, pp. 1893–1905, 2015. [4] M. Shoaib, N. K. Jha, and N. Verma, “Signal processing with direct computations on compressively sensed data,” IEEE Trans. Very Large Scale Integr. Syst., vol. 23, no. 1, pp. 30–43, 2015. [5] A. H. Khandoker, M. Palaniswami, and C. K. Karmakar, “Support vector machines for automated recognition of obstructive sleep apnea syndrome from ECG recordings,” IEEE Trans. Information Technology in Biomedicine, vol. 13, no. 1, pp. 37–48, 2009. [6] G. N. Forrest, T. C. Van Schooneveld, R. Kullar, L. T. Schulz, P. Duong, and M. Postelnick, “Use of electronic health records and clinical decision support systems for antimicrobial stewardship,” Clinical Infectious Diseases, vol. 59, pp. 122–133, 2014. [7] D. Suryakumar, A. H. Sung, and Q. Liu, “Influence of machine learning vs. ranking algorithm on the critical dimension,” Int. J. Future Computer and Communication, vol. 2, no. 3, pp. 215–220, 2013.

Nowadays Automation plays a vital role in industrial applications. This proposal deals with PLCs (Programmable Logic Controller) for automation in material handling. This system is mainly used for storing and retrieving the unprocessed materials in a manufacturing unit. We use proximity sensors to detect the nearby objects. The main objective of this paper is to built an automation system coordinated by using PLC integration.

Keywords : Proximity Sensor–Programmable Logic Controller –Conveyor

Recent

[1] Swathi S P , M G Vasundhra, Dr B Yogesh, 2013“PLC based Automatic Racking System” in International Journal of Engineering Research Technology. pp 805-810 [2] A. Albagul, K. Alsharef, M. Saad, Y. Abujeela, "Design and Fabrication of an Automated Multi-level Car Parking System", in Manufacturing Engineering, Automatic Control and Robotics, 2013. [3] Kees Jan Roodbergen, 2009, “A survey of literature on ASRS”. European Journal of Operational Research. pp 343-362 [4] Rashid, M.M; Kasemi, B; Rahman, M., 2001, “New ASRS using wireless communication”, International conference on Mechatronics IEEE. pp 1-7 [5] We-Min Chow, 1989,” Development of an Automated Storage and Retrieval System for manufacturing assembly lines”. Proceedings of international conference on Robotics and Automation, IEEE. pp 490-491 [6] H. karnataka, "PLC controlled low cost automatic packing” International Journal of advanced mechanical engineering vol . 4, no .7, PP.803-811, 2014.

In hydrodynamic lubrication, the pressure condition of the fluid is critical to ensure good performance of the lubricated machine elements such as journal bearings. In the present study, an experimental work is conducted to determine the pressure distribution around the circumference of a journal bearing due to variation in Speed and Loads. It is concluded after observation that the location of the maximum pressure for the given operating conditions is close to the position where radial clearance between journal and casing is minimum. Our study deals with a design of journal bearing apparatus to determine the pressure distribution along the periphery and along the length of the journal bearing. By adding the weight also we can take the readings at various speeds.

Keywords : Hydrodynamic,Journal Bearing,Pressure Distribution

Recent

[1] Experimental Evaluation of Performance parameters of journal Bearing Operating in Boundary /Mixed Lubrication Regimes. IARJSET Amrutvahini Collage of Engineering, Sangamner Vol 3, special Issue 1, March 2016 [2] Understanding Journal Bearings, Malcolm E. Leader, P.E.Applied Machinery Dynamics Co. Durango, Colorado [3] Machine Element Design by V.B. Bhandari. [4] Tribology Hand Book [5] Tribology of wear & tear [6] Oil film pressure in Hydrodynamic Journal Bearing by ANTTI VALKONEN.

The survival of patients with melanoma is mainly dependent on the thickness of the melanoma. The depth of the melanoma is usually give in millimeters then calculated using pathological examination following a biopsy of the suspected lesion. To avoid invasive methods in the estimation of the thickness of the melanoma prior to surgery we propose a computational image analysis system from dermoscopic images. A recent interpretable method merging logistic regression along with artificial networks (LIPU) logistic regression using initial variables and product units, which are nominal classification methods, are compared in terms of performance. In case of binary classification LIPU performs with an accuracy of 77.6% compared to all other methods while in case of the second scheme the ordinal classification methods achieve a better balance between the performances of all classes even though LIPU reports the highest overall accuracy.

Keywords : Melanoma, Dermoscopic images, Image analysis, Classification methods

Recent

[1] P. Guti´errez, M. P´erez-Ortiz, J. S´anchez-Monedero, F. Fernandez- Navarro, and C. Herv´as-Mart´inez, “Ordinal regression methods: survey and experimental study,” IEEE Transactions on Knowledge and Data Engineering, vol. In press, no. 99, 2015. [2] Bag-of-Features Classification Model for the Diagnose of Melanoma in Dermoscopy Images Using Color and Texture Descriptors Catarina Barata1, Jorge S. Marques1, and Teresa Mendon¸ca2 M. Kamel and A. Campilho (Eds.): ICIAR 2013, LNCS 7950, pp. 547–555, 2013.c Springer-Verlag Berlin Heidelberg 2013 [3] Texture Information in Melanocytic Skin Lesion Analysis Based on Standard Camera Images, Pablo G. CavalcantiJacobScharcansk Part of the Series in bioengineering book series (SERBIOENG) 27 September 2013 [4] Evaluation of cutaneous melanoma thickness by digital dermoscopy analysis: a retrospective study. Rubegni P1, Cevenini G, Sbano P, Burroni M, Zalaudek I, Risulo M, Dell'Eva G, Nami N, Martino A, Fimiani M Melanoma Res. 2010 Jun;20(3):212-7. doi: 10.1097/CMR.0b013e328335a8ff [5] P. Cavalcanti and J. Scharcanski, “Texture Information in Melanocytic Skin Lesion Analysis Based on Standard Camera Images,” in Computer Vision Techniques for the Diagnosis of Skin Cancer, J. Scharcanski and M. E. Celebi, Eds. Springer Berlin Heidelberg, 2014, pp. 221–242. [6] G. Argenziano, C. Longo, A. Cameron, S. Cavicchini, J.-Y. Gourhant, A. Lallas, I. McColl, C. Rosendahl, L. Thomas, D. Tiodorovic-Zivkovic, P. Zaballos, and I. Zalaudek, “Blue-black rule: a simple dermoscopic clue to recognize pigmented nodular melanoma,” British Journal of Dermatology, vol. 165, no. 6, pp. 1251–1255, 2011. [7] A review on diagnosis of nutrient deficiency symptoms in plant leaf image using digital image processing s. jeyalakshmi1 and r. radha2, ictact journal on image and video processing, May 2017, volume: 07, issue: 04 [8] Computer-Aided Diagnosis of Melanoma Using Border and Wavelet-Based Texture AnalysisGarnavi R, Aldeen M, Bailey J IEEE Trans InfTechnol Biomed. 2012 Nov; 16(6):1239-52. doi: 10.1109/TITB.2012.2212282. E-pub 2012 Aug 8. [9] A survey on Automatic Analysis of Statistical Properties of Rheumatoid Arthritis using Digital Image Processing Prof G.S. Mate1 , Dr. A. K. Kureshi2 , 30th July,2017 [10] H.-T. Lin and L. Li, “Reduction from cost-sensitive ordinal ranking to weighted binary classification,” Neural Computation, vol. 24, no. 5, pp. 1329–1367, 2012. [11] A survey on deep learning in medical image analysis Author links open overlay panel GeertLitjensThijsKooiBabak Ehteshami Bejnordi LaakBramvan GinnekenClara I.Sánchez,Received 27 February 2017, Revised 24 July 2017, Accepted 25 July 2017, Available online 26 July 2017. [12] Automatic bone boundary detection in hand radiographs by using modified level set method and diffusion filter. Garcia In IEEE 6th International Workshop on Computational Intelligence and Applications, Hiroshima, Japan, July 13, 2013.

Now-a-days usage of plastic and generation of plastic refuse increases day by day, so necessary steps should be taken to reduce pollution due to plastic waste. In this paper, plastic refuse was used as a fine aggregate in some percentage with Manufactured sand (M-sand) instead of river sand to reduce the impact of pollution caused by plastic refuse. Since the demand for natural sand has increased drastically. The replacement of river sand by plastic refuse should not affect the strength as well. In this way, it is easy to manage the demand of natural sand and pollution due to improper disposal of plastic refuse. In previous studies, there was a strength reduction in the concrete as the addition of plastic refuse increases. The addition of plastic refuse in the form of pellets has increased the strength of concrete as plastic pellets are having more density than raw plastic refuse. The addition of plastic pellets of 4% has achieved a maximum compressive strength, tensile strength and flexural strength of 28 N/mm2, 1.96 N/mm2 and 2.75 N/mm2 respectively at the end of 28 days curing.

Keywords : Replacement, Manufactured Sand, Plastic, Minimum Percentage, Disposal of Plastic

Recent

[1] Boskey Bahoriaa , Dr D K Parbatb , Dr. P. B. Nagarnaikc , Dr.U.P.Waghe “Effect of Replacement of Natural Sand By Quarry Dust And Waste Plastic On Compressive & Split Tensile Strength Of M20 Concrete” [2] Pramod S. Patil1, J.R.Mali2, Ganesh V.Tapkire3, H. R. Kumavat4 “Innovative Techniques of Waste Plastic Used In Concrete Mixture" [3] Bahoria B.V.*1, Parbat D.K.2 and Naganaik P.B.3 “Replacement of Natural Sand in Concrete by Waste Products: A State Of Art” [4] Manhal A Jibrael1 and Farah Peter2* “Strength and Behavior of Concrete Contains Waste Plastic” All [5] Vinayak R.Supekar1 Popat D “Properties of Concrete by Replacement of Natural Sand with Artificial Sand”. [6] Zainab Z. Ismail *, Enas A. Al-Hashmi “Use of Waste Plastic in Concrete Mixture as Aggregate Replacement” [7] Arivalagan.S “Experimental Investigation on Partial Replacement of Waste Plastic in Concrete” [8] Kshiteesh Gaur1, Jyotsana2, Anil Kumar Arya3, Neelesh Kumar Singh4 “Use Of Plastic as Partial Replacement of Fine Aggregate in Fibre Reinforced Concrete”. [9] Gaurav Verma1, Mohd. Afaque Khan2 Mr Abhishek Kumar3 “Effect of Waste Plastic as Partial Replacement of Aggregate in Concrete Mixture: A Review” [10] B.Harini1 & K.V.Ramana2 “Use Of Recycled Plastic Waste as Partial Replacement for Fine Aggregate in Concrete” [11] B Jaivignesh* And A Sofi “Study On Mechanical Properties of Concrete Using Plastic Waste as an Aggregate” [12] Raghatate Atul M “Use Of Plastic in a Concrete to Improve Its Properties”

As the cities grow, the number of impermeable surfaces those that do not allow water to infiltrate into the ground can increase. Managing runoff in urban areas becomes difficult and forms flooding. If it is not properly maintained, the storm water runoff forms the negative effect on nearby surface water. The implementation of the permeable pavement increases the infiltration rate of water into the ground surface and also increases the filtration of rain water. This will be difficult to find the cost-effective pavement by hydrological assumptions and also the installation of permeable pavement is costly than compared to the impermeable pavements. Even though it is costlier, it gives higher benefits and improves the water sustainability. This paper gives the estimation of suitable cost effective permeable pavement for the selected site in K. K. Nagar, Trichy.

Keywords : Storm Water Management, Cost Analysis, Porous Asphalt Pavement, Ground Water Recharge, Urban Roads

Recent

[1] Dr.S.K.Khanna, Dr.C.E.G.JustoNEM CHAND & BROS, Roorkee“Highway Engineering”( U.A) ISBN 81-85240-77-9 [2] S.O.Ajamu.A. Jimoh, J.R. Oluremi “Evaluation of Structural Performance of Pervious Concrete in Construction” ISSN: 2049-3444 pg no: 829-835 [3] California Department of Transportation “Pervious Pavement Design Guidance” [4] Concrete Delivers www.concreteparking.org [5] ACI 552R (2010): “Report on Pervious Concrete”, American Concrete Institute,Farmington Hills,Michigan, http://www.concrete.org [6] Darshan S.Shah,Prof. JayeshkumarPitroda,Prof.J.J.Bhavsar “Pervious Concrete:New Era For Rural Road Paveemnt”ISSN:2231-5381. [7] West Chester, PA (Porous@thcahill.com). [8] Asphalt Pavement Association of Oregon,Salem,OR (APAO.org).

An intelligent helmet has been developed to assist the miners working in the mining industry. Harmful events tend to occur in the mining industry that can lead to severe injury or be fatal. LED miner’s helmet is the most commonly used helmet because of light weight and low power consumption. However it does not improve the safety of miners apart from providing illumination. Zigbee wireless sensor networks are used to collect sensor data and transmit them. The zigbee based system is cost effective and details are shared with central control unit. This paper presents a study of the mining environment and its hazards and how a zigbee is used for transmission from miner to ground control system in case of hazardous events.

Keywords : Miners, Safety, Sensors, Wireless Network,& AirQuality

Recent

[1] C.J. Behr, A. Kumar and G.P. Hancke ―A Smart Helmet for Air Quality and Hazardous Event Detection for Mining Industry‖, Department of Electrical, Electronic and Computer Engineering University of Pretoria, South Africa gerhard.hancke@up.ac.za . [2] C. Qiang, S. J. Ping, Z. Zhe, Z. Fan, ―ZigBee Based Intelligent Helmet for Coal Miners, Proc. IEEE World Congress on Computer Science and Information Engineering, pp. 433-35, 2009. [3] Tanmoy Maity, Partha Sarathi Das, Mithu Mukherjee ―A Wireless Surveillance and Safety System for Mine Workers based on Zigbee. [4] S. Wei, L. Li-li, ―Multi-parameter Monitoring System for Coal Mine based on Wireless Sensor Network Technology, Proc. International IEEE Conference on Industrial Mechatronics and Automation, pp 225-27, 2009. [5] Rajkumar boddu, p.balanagu ―zigbee based mine safety monitoring system with gsm International Journal of Computer & Communication Technology, Volume-3, Issue-5, 2012. [6] M.A. Hermanus, ―Occupational health and safety in mining status, new developments, and concerns‖, The Journal of The Southern African Institute of Mining and Metallurgy, vol. 107, p. 531-538, Aug 2007. [7] R. S. Nutter, ―A distributed microprocessor monitoring and control system for coal mines,‖ in Proc. 4th WVU Conf. on Coal Mine Electro technology, Aug. 2-4, 1978. [8] R. S. Nutter, ―Hazard evaluation methodology for computer-controlled mine monitoring/control systems,‖ IEEE Trans. on Industry Applications, vol. IA-19, no. 3, pp. 445-449, May/June 1983. [9] R. S. Nutter and M. D. Aldridge, ―Status of mine monitoring and communications,‖ IEEE Trans. on Industry Applications, vol. 24, no. 5, pp. 820-826, Sep./Oct. 1998. [10] A. D. Kock and J. W. Oberholzer, ―The development and application of electronic technology to increase health, safety, and productivity in the South African coal mining industry,‖ IEEE Trans. on Industry Applications, vol. 33, no. 1, pp. 100-105, Jan/Feb. 1997. [11] P. Misra, S. Kanhere, D. Ostry and S. Jha, ―Safety assurance and rescue communication systems in high-stress environments: a mining case study‖, IEEE Communications Magazine, vol. 48, no. 4, pp. 66-73, April 2010. [12] A. E. Forooshani, S. Bashir, D. G. Michelson and S. Noghanian, ―A survey of wireless communications and propagation modelling in underground mines‖, IEEE Communications Surveys and Tutorials, vol. 15, no. 4, pp. 1524-1545, Nov. 2013. [13] C. P. Kruger and G. P. Hancke, ―Implementing the Internet of Things vision in industrial wireless sensor networks,‖ IEEE Int. Conf. on Industrial Informatics, pp. 627-632, July 2014. [14] D. M. Han and J. H. Lim, ―Smart home energy management system using IEEE 802.15.4 and ZigBee,‖ IEEE Trans. on Consumer Electronics, vol. 56, no. 3, pp. 1403-1410, Aug. 2010. [15] C. P. Kruger and G. P. Hancke, ―Benchmarking Internet Of Things devices,‖ IEEE Int. Conf. on Industrial Informatics, pp. 611-616, July 2014. [16] K. Gill, S. H. Yang, F. Yao and X. Lu, ―A ZigBee-based home automation system,‖ IEEE Trans. on Consumer Electronics, vol. 55, no. 2, pp. 422-430, May 2009. [17] J. Byun and S. Park, ―Development of a self-adapting intelligent system for building energy-saving and context-aware smart services,‖ IEEE Trans. on Consumer Electronics, vol. 57, no. 1, pp. 90-98, 2011. [18] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, ―Wireless sensor networks: a survey,‖ Computer Networks, vol. 38, pp. 393-422, 2002. [19] V. C. Gungor and G. P. Hancke, Industrial Wireless Sensor Networks: Applications, Protocols, and Standards, Published by CRC Press, 2013. [20] ZigBee Alliance, "Zigbee wireless standards‖. www.didgi.com/ technology/rf-articles/wireless-zigbee. [21] B. Silva, A. Kumar and G. P. Hancke, ―Experimental Link Quality Characterization of Wireless Sensor Networks for Underground Monitoring,‖ IEEE Trans. on Industrial Informatics, vol. 11, no. 5, pp. 1099-1110, Oct. 2015. [22] R. Fisher, L. Ledwaba, G.P. Hancke and C. Kruger. ―Open Hardware: A Role to Play in Wireless Sensor Networks,‖ Sensors, vol.15, no. 3, pp. 6818-6844, 2015. [23] AM Abu-Mahfouz and G.P. Hancke. -An efficient distributed localisation algorithm for wireless sensor networks: based on smart reference-selection method‖, International Journal of Sensor Networks, vol. 13, no. 2, pp. 94-111, May 2013.

In today’s world the main emphasis is on green and sustainable development. River sand is one of the vital ingredient in the construction. Environmental concerns are being raised against uncontrolled extraction of river sand. But in presence of water it reacts with free lime and form hydrated products which helps in attaining good strength and also improving the durability. The arguments are mostly in regards to protect river beds against erosion and the importance having natural sand as a filter for ground water. So, prosopis juliflora wood powder is partially replaced with river sand.

Keywords : natural river sand, prosopis juliflora wooden powder

Recent

[1] Amir shaffi Butt and Anshul garg (2017) “Partial Replacement of Wood Ash with Ordinary Portland Cement and Foundry Sand as Fine Aggregate” in Journal of Civil & Environmental Engineering. [2] Boobala Krishnan K.V., N.Vignesh, S.Kulandhai Antony, Cruz, Mandira Adhikari, N.Pagutharivu (2017) “Experimental Investigation on Partial Replacement of Cement by Wood Ash and Fine Aggregate by Wood Powder”. South Asian Journal of Engineering and Technology Vol.3, No.7 (2017) 46-52. [3] Barathan .S. And B. Gobinath (2013)”Evaluation of Wood Ash as A Partial Replacement to Cement” ISSN: 2278 – 7798 International Journal of Science, Engineering and Technology Research (IJSETR) Volume 2, Issue 10, October 2013. [4] Kamlesh Saini*, Vijay Chaudhary ,Ankush Bisnohi, Harshit Agarwal, Meghalal Ram,Sandeep Saraswat(2016) ”Effect on strength properties of concrete by using waste wood powder as partial replacement of cement” SSRG International Journal of Civil Engineering (SSRG-IJCE) – volume 3 Issue 5. [5] Muthuraj .M. and Durai Murugan .A.(2017),” Experimental Investigation On Prosopis Juliflora Ash As A Partial Replacement Of Cement In Conventional Concrete” International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization) Vol. 6, Issue 5, May 2017 [6] Obilade I.O (2014), “Use of saw dust as a partial replacement of cement in concrete” International Journal of Engineering Science Invention ISSN (Online): 2319 – 6734, ISSN (Print): 2319 – 6726 www.ijesi.org Volume 3 Issue 8 ǁ August 2014 ǁ PP.36-40. [7] Peter-(2006)”Evaluation of Prosopis juliflora properties as an alternative to wood shortage in Kenya”. [8] Raghu K1 Sharath V. T2 Naveen Y3 Bharath Kumar4 Yogesha B.S IJSRD - International Journal for Scientific Research & Development| Vol. 5, Issue 06, 2017 | ISSN (online): 2321-0613 “Experimental Investigation on Partial Replacement of Cement by Mesquite (Prosopis Juliflora) Wood Ash in Concrete “ [9] Sanjay chaugh and Rahul Bansal (2016),”Study on saw dust as partial replacement with cement” International Journal of Engineering Technology Science and Research IJETSR www.ijetsr.com ISSN 2394 – 3386 Volume 3, Issue 4. [10] Varun (2015),” Development Of Timbercrete By Replacing Coarse Aggregate With Sawdust” IJCE, Volume 2, Issue 2. [11] IS: 10262-2009, Recommended Guidelines For Concrete Mix Design, Bureau Of Indian Standards, New Delhi, India. [12] IS: 383-1970, Specifications for Course Aggregate and Fine Aggregate From Natural Sources for Concrete, Bureau of Indian Standards, New Delhi, and India. [13] IS: 456-2000, Indian Standard Code Of Practice For Plain And Reinforced Concrete, Bureau Of Indian Standards, New Delhi, India. [14] IS: 516-1959, Indian Standard Code Of Practice- Methods Of Test For Strength Of Concrete, Bureau Of Indian Standards, New Delhi, India. [15] IS: 12269-1987, Specifications for Portland cement, Bureau of Indian Standards, and New Delhi, India.

Lean manufacturing is the manufacturing philosophy and the system that was given by the Toyota, Japan and now the many of the manufacturers are using these techniques in industries. “Lean is simply a systematic technique or approach to identify and eliminating the waste through the continuous improvement by flowing the product at the pull of the customer in pursuit of the perfections. The main aim is to eliminate the wastages in every area of the production including the customer relations and the product design and suppliers”. Lean tools and approach are very much popular in the automobile component manufacturing which is improving the growth initiatives in the automobile industry in last two decades. In automobile these lean tools like JIST,5S, Six Sigma, FIFO, LIFO, Continuous Improvement, JIS, Kanban processes also helps in the rapid development and growth in assembly line and overall production and growth specially in automobile sector. Nowadays almost 70% to 80% improvement in most of industrial growth is due to the approach of lean manufacturing.

Keywords : JIST, 5S, Six Sigma, FIFO, LIFO, Continuous Improvement, JIS.

Recent

[1] R. j. Schonberg, “Japanese production management: an evolution – with mixed success,” journal of operation management, vol. 25, pp. 403-419, 2007. [2] M. Holweg, “the genealogy of the lean production,” journal of the operational management, vol.25, pp.420-437, 2007. [3] T. James, “wholeness as well leanness,” Iet manufacturing engineer, pp.14-17, 2006. [4] Taylor l. And matichenkor.,(2006), “lean transportation fact or fiction”. An executive white paper. Pp-7. [5] J. Seliger, k. awalegaonkar, c. Jampiris, G. Bellano, so you want to get lean kaizen or kaika ku, Oliver wyman, 2007. [6] Womack, j.p. and jones, d.t., lean thinking: banish waste and create wealth in your organization. NY: free press, 2003. [7] Jerry Kilpatrick (2003), “lean principles”, Utah manufacturing extension partnership. [8] Ahlstrom, p., 1998 “sequences in the implementation of the lean production”, European management journal 16, pp. 327-334.

The paper discusses about the techniques involved in controlling n bus interface with IOT. Due to the interfacing of IOT, all the control parameters get involved such as fuel level, location, amount of passengers, tickets collected, time of reaching destination, door state, lamp control, parts condition etc., can be both monitored and controlled in some case. The vision of the project is to control the rural transportation bus without any intervention of human in the bus, rather monitoring it in a different location. In case of controlling codes were developed under the logic of python platform based programming.

Keywords : Automated Bus, IoT, Raspberry Pi

Recent

[1] Lohit Ujjainiya and M. Kalyan Chakravarthi, “Raspberry – Pi Based Cost Effective Vehicle Collision Avoidance System Using Image Processing”, Arpn Journal of Engineering and Applied Science, Vol. 10, No. 7, April 20. [2] Shoaib Rehman Soomro, Mohammad Arslan Javed,Fahad Ahmed Memon,” Vehicle Number Recognition System For Automatic Toll Tax Collection”, Robotics And Artificial Intelligence (ICRAI),2013. [3] Hoang Dat Pham, Drieberg, M.Chi Cuong Nguyen, “Development Of Vehicle Tracking System Using Gps And Gsm Modem“,2003. [4] Mohannad Ibrahim, Abdelghafor Elgamri, Sharief Babiker, Ahmed Mohamed,” Internet of Things based Smart Environmental Monitoring using the Raspberry-Pi Computer”2015. [5] Aamir Nizam Ansari, Mohamed Sedkyl, Neelam Sharma, Anurag Tyagil,” An Internet of Things Approach for Motion Detection using Raspberry Pi”, international Conference on Intelligent Computing and Internet of Things (IC1T),2015. [6] Md. Nasimuzzaman Chowdhury, Md. Shiblee Nooman, Srijon Sarker, “Access Control of Door and Home Security by Raspberry Pi Through Internet”, International Journal of Scientific & Engineering Research, Volume 4, Issue 11 November-2013, ISSN 2229-5518. [7] Mirjana Maksimović, Vladimir Vujović, Nikola Davidović, Vladimir Milošević and Branko Perišić,” Raspberry pi as internet of things hardware performances and constrains,2015. [8] Cheah Wai Zhao, Jayanand Jegatheesan, Son Chee Loon, “Exploring IOT Application Using Raspberry Pi”, International Journal of Computer Networks and Applications Volume 2, Issue 1, January - February (2015).

Videos are very important and helpful in our daily life for understanding and comprehend the information. With the help of videos user can gain the knowledge and spreads that knowledge to the other peoples. Hence, here it becomes important to make videos available to the people having auditory problems and even more for the people to remove the gaps of their native language. This all things are getting by using the subtitles for videos. There are several websites which are providing the subtitle files for the videos but not for all videos. Downloading subtitles from internet is a monotonous process. Hence to generate subtitles automatically with the help of software is the valid subject to research, this research paper resolves the problems mentioned above through the speech recognition technology. There are three models helps to generate subtitles for videos, Audio Extraction helps to extract audio from video and convert into .wav format for speech recognition process. Here 24% reduction rate has been achieved in the size of the video after the extraction. With the help of PocketSphinx speech recognition engine the .wav file get processed and the speech is get converted into text format and stored in .srt file for future use.

Keywords : sphinx,ffmpeg,videos

Recent

[1] Boris Guenebaut, “Automatic Subtitle Generation for Sound in Videos”, Tapro 02, University West, pp. 35, 2009. [2] Abhinav Mathur, Tanya Saxena, “Generating Subtitles Automatically using Audio Extraction and Speech Recognition”, 7th International Conference on Contemporary Computing (IC3), 2015. [3] Ibrahim Patel1 Dr. Y. Srinivas Rao, “Speech Recognition Using HMM with MFCC- An Analysis using Frequency Spectral Decomposition Technique”, Signal & Image Processing: An International Journal(SIPIJ), Vol.1, No.2, December 2010. [4] B. H. Juang; L. R. Rabiner, “Hidden Markov Models for Speech Recognition”, Journal of Techno metrics, Vol.33, No. 3. Aug. 1991. [5] Youhao Yu “Research on Speech Recognition Technology and Its Application,” Electronics and Information Engineering, International Conference on Computer Science and Electronics Engineering, 2012. [6] Zoubin Ghahramani, “An introduction to hidden Markov models and Bayesian networks”, World Scientific Publishing Co., Inc. River Edge, NJ, USA, 2001. [7] ImTOO Software Studio, “ImTOO DVD to Video Family”, http://www.imtoo.com/dvd-ripper.html/ [8] Xilisoft Corporation, “Xilisoft DVD to Video Ultimate”, http://www.xilisoft.com/dvd-ripper.html/ [9] Frederick Jelinek, “Statistical Methods for Speech Recognition”. MIT Press, pp. 7, 1999. [10] Sadaoki Furui, Li Deng, Mark Gales, Hermann Ney, and Keiichi Tokuda,” Fundamental Technologies in Modern Speech Recognition,” Signal Processing, IEEE Signal Processing Society, November 2012. [11] S. Ross, “Sphinx-4 a speech recognizer written entirely in the java programming language”, pp. 5, 1999-2008. URL http://cmusphinx.sourceforge.net/sphinx4/.

Automatic license plate recognition (LPR) plays an important role in numerous applications and a number of techniques have been proposed regarding the same. LPR is the extraction of vehicle license plate information from a captured image.[1] The extracted information can be used with or without databases in many applications such as electronic payment systems (parking fee payment) and monitoring system for traffic surveillance. LPR uses the camera from a smartphone to capture the image. The quality of the acquired images is a major factor in the success of the LPR. LPR as a real life application has to quickly and successfully process license plates under different environmental conditions such as day, night, and outdoors.[2] Image processing techniques that will be used are image detection, image binarization, character analysis, identification of plate edges, deskewing the image, character segmentation, optical character recognition, post processing for calculation of confidence.

Keywords : Open ALPR, Cloud ALPR, Android Studio, Internet and Java

Recent

[1] Automatic License Plate Recognition Shyang-Lih Chang, Li-Shien Chen, Yun-Chung Chung, and Sei-Wan Chen, Senior Member, IEEE. [2] Automatic License Plate Recognition (ALPR): A State-of-the-Art Review Shan Du, Member, IEEE, Mahmoud Ibrahim, Mohamed Shehata, Senior Member, IEEE, and Wael Badawy, Senior Member, IEEE. [3] Automatic OCR based control and analysis of vehicle license plates Ashwini Patil1 and Sachin Ruikar1 1 Department of Electronics Engineering Walchand College of Engineering, Sangli, Maharashtra, India. [4] D. S. Kim and S. I. Chien, “Automatic vehicle license plate extraction using modified generalized symmetry transform and image warping,” in Proc. IEEE Int. Symp. Ind. Electron. June. 2001, vol. 3,pp. 2022–2027. [5] https://github.com/openalpr/openalpr/wiki/OpenALPR-Design

The use of alternative materials in becoming increasingly important in various engineering fields. In this way, present study indicates the possibilities of reinforcing aluminium alloy (Al6061) with locally available inexpensive rice husk ash for developing a new material. 4, 8 & 12% of a rice husk ash particle were used by weight to develop metal matrix composite. This can be done by liquid metallurgy route. Where they are sustainable, high performance, or simply lower cost alternatives often have some different characteristics that can be appealing in some way. Metal matrix composites (MMCs) constitute in important category of design and weight efficient materials, this research project is ultimately sought to determine an alternative material for disk brake rotor. In this article we fabricate aluminium (Al6061) matrix composite reinforced with rice husk ash (RHA) with a large amount of silica contain. This can be done by stir casting. The report gives the results that it decreases the density and increases yield strength, ultimate strength and hardness of the composite.

Keywords : Brake Disc Rotor, Rice Husk Ash, ANSYS, HEAT Flux, Temperature Distribution

Recent

[1] S.D.Saravanan, Research Scholar, Department of Mechanical Engineering, P.S.G College of Technology, Coimbatore(2013) “Effect of Mechanical Properties on Rice Husk Ash Reinforced Aluminium alloy (Alsi10Mg) Matrix composites.” [2] M.Senthil Kumar, Assistant Professor, Department of Mechanical Engineering, P.S.G College of Engineering, Coimbatore. “Effect of Mechanical Properties on Rice Husk Ash Reinforced Aluminium alloy (Alsi10Mg) Matrix composites.” [3] Md. HasibulHaque, Ramim Ahmed, Md. Muzahid Khan, Shadman Shahriar. “Fabrication, Reinforcement and characterization of Metal Matrix Composites (MMC’s) using Rice Husk Ash and Aluminium Alloy (A-356.2)”. [4] Material selection in mechanical design, 1999: Butterworth Heineman publication by S. R. Zaveri & M. C. Swami. [5] Engineering material Vol 2 1998: Butterworth Heineman publication by KirankumarJagtap. [6] https://en.wikipedia.org/wiki/Brake

About 64.14 per cent of the people of Maharashtra state are employed in agriculture, but it’s contribution towards the GSDP of Maharashtra is only 12.5 per cent. One possible reason for this poor contribution is the lack of sufficient crop planning by farmers. In this paper we try to predict crop yield and price that a farmer can obtain from his land. For this we analyze the patterns in past data and use sliding window non-linear regression technique based on different factors affecting agricultural production such as temperature, rainfall, area of land, market prices and previous crop taken in farm. Our system intends to suggest the best crop choice and income from the crop for a farmer in order to reduce the common socio-socio-economic issues facing many farmers today.

Keywords : Agriculture, Data Analysis, Prediction Algorithms, Regression Analysis

Recent

[1] Aakash G Ratkul, Gangadhar Akalwadi, Vinay N Patil, Kavi Mahesh“Farmers adviser system” 2016 IEEE International conference on cloud computing in emerging markets. [2] Yan Xiaozhen, Xie Hong, Wang Tong, “A multiple linear regression data predicting method using correlation analysis for wireless sensor networks”, 2011 Cross Strait Quad-regional Radio Science and Wireless Technology Conference. [3] Paola Arce, Luis Salinas, “Online ridge regression method using sliding windows”, 2012 31st International Conference of the Chilean Computer Sciense Society. [4] Tng Zhang, “Solving large scale linear prediction problems using stochastic gradient descent algorithms”, Proceedings of the 21st International conference on Machine learning. [5] Jiajun Zong and Quanyin Zhu ,”Apply grey prediction in the Agriculture Production price ”, 2012 4th International Conference on Multimedia Information Networking and Security. [6] E. V.Bystritskaya, A. l. Pomerantsev and O.Ye. Rodionova, “Non-linear regression analysis: new approach to traditional implementations”, 2000 Journal Of Chemometrics. [7] Aakunuri Manjula and Dr. G. Narsimha, “XCYPF: A flexible and extensible framework for agricultural crop yield prediction”, IEEE Sponsered 9th ISCO 2015 [8] Ronald Cody, Ed. D., Robert wood Johnson Medical school, Piscataway, NJ, “Data cleaning 101”

Cloud computing can run our businesses in a better and unique way. Because cloud computing runs on a shared data center. In 1990s, some companies started offering “Virtual Private Network (VPN)” services at a lower cost. The cloud symbol was used to denote the relation between provider and user. Cloud computing covers servers and network infrastructure. The main features are location and device independence

Keywords : Virtual Private Network (VPN), Cloud Computing, CRM

Recent

[1] https://azure.microsoft.com/en-in/overview/what-is-cloud-computing/ [2] https://www.tutorialspoint.com/cloud_computing/index.htm [3] https://aws.amazon.com/what-is-cloud-computing/ [4] https://www.investopedia.com/terms/c/cloud-computing.asp

More than 60 percent of the population in the India, agriculture as the primary sector occupation. In recent years, due increase in labor shortage interest has grown for the development of the autonomous vehicles like robots in the agriculture. An robot called agribot have been designed for agricultural purposes. It is designed to minimize the labor of farmers in addition to increasing the speed and accuracy of the work. It performs the elementary functions involved in farming i.e. spraying of pesticide, sowing of seeds, and so on. Spraying pesticides especially important for the workers in the area of potentially harmful for the safety and health of the workers. This is especially important for the workers in the area of potentially harmful for the safety and health of the workers. The Proposed system aims at designing multipurpose autonomous agricultural robotic vehicle which can be controlled through IoT for seeding and spraying of pesticides. These robots are used to reduce human intervention, ensuring high yield and efficient utilization of resources.

Keywords : IoT, Agribot, Sprayer, Pesticides

Recent

[1] Ashish Lalwani, mrunmai Bhide, S. K. Shah, A Review: Autonomous Agribot for Smart Farming, 46th IRF International Conference, 2015 [2] Akhila Gollakota, M.B.Srinivas, Agribot-A multipurpose agricultural robot, India Conference (INDICON), IEEE, 2011. [3] V Gowrishankar, K Venkatachalam, “Survey on Performance Analysis of Data Converters for Sensor Network Applications”, Vol. 6, Issue 8, 2016, page. 2275-2284. [4] V Gowrishankar, K Venkatachalam, “Efficient FIR Filter Design Using Modified Carry Select Adder & Wallace Tree Multiplier”, Vol. 2, Issue 3, 2013, page. 703-711. [5] Amritanshu Srivastava, Shubham Vijay, Alka Negi, Akash Singh,“DTMF Based Intelligent Farming Robotic Vehicle,” International Conference on Embedded Systems (ICES ), IEEE 2014. [6] Gulam Amer, S.M.M. Mudassir, M.A. Malik, “Design and operation of Wi-Fi Agribot Integrated system”, International Conference on Industrial Instrumentation and control (ICIC), IEEE, 2015. [7] S Mahendra Kumar and T Guna Sekar, (2016) “Cross-Layer Design for Energy Efficient Multicast Video Transmission over Mobile Ad Hoc Networks”, Asian Journal of Research in Social Sciences and Humanities, Volume 6, Issue 9, Pages 719-734. [8] Mahendrakumar Subramani and Senthilprakash Kuppusamy, (2011) “Improving congestion control performance and fairness in multihop ad hoc network”, International Journal of Networking and Virtual Organisations, Inderscience Publishers, Volume 9, Issue 1, Pages 86-101. [9] Mahendrakumar Subramaniam and Sasikala Ramasamy, (2014) “A survey on performance analysis of energy aware multicast routing protocols in mobile ad hoc network”,International Journal of Networking and Virtual Organisations, Inderscience Publishers, Volume 14, Issue 4, Pages 340-354.