Wednesday, February 12, 2020

Efficient and Enhanced Proxy Re Encryption Algorithm for Skyline Queries


revocation problem in IBE remains an elusive research problem and hence, it is an important research topic. One possible approach in achieving revocations is to update user's decryption keys. However, to avoid the need of secret channels, public time keys need to be issued to allow this update to occur. It is unfortunate that this method often suffers from two problems 1 the user has to maintain linearly growing decryption keys and 2 the revoked users can still access ciphertexts prior to revocation. At the first glance, proxy re encryption technique may provide a solution to this problem, but the ciphertexts will become longer after each re encryption, which makes it impractical. In this paper, we present a revocable identity based encryption scheme with cloud aided ciphertext evolution. Our construction solves the two aforementioned problems via ciphertext evolution implemented by the cloud. Additionally, the size of ciphertexts in the cloud remains constant size regardless of evolutions. The scheme is provably secure against chosen ciphertext attacks based on the BDH problem. The comparisons with the existing related works show that our scheme enjoys better efficiency, thus is practical for the data sharing in cloud storage. 


by K. Kalaivani ""Efficient and Enhanced Proxy Re-Encryption Algorithm for Skyline Queries""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30294.pdf

Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/30294/efficient-and-enhanced-proxy-re-encryption-algorithm-for-skyline-queries/k-kalaivani

openaccessjournalofengineering, engineeringjournal, paperpublicationforengineering

Preparation and Control of Chemical Filling Station by using DCS


Here, we are monitoring, controlling and maintaining the chemical filling station by using DCS automation. Distributed control system is an embedded system which is a combination of hardware and software used for control operations. Each chemical has different method of packing. Some chemicals should be handled more carefully. Each and every chemical undergoes number of process one by one to obtain the resultant product. Here we are using sodium soap as chemical solids. This sodium soap is used in De inking process in paper industries for removing the ink from the recycling paper, where sodium soap is used in large amount in liquid form. Sodium soap are normally obtained in solid form, we have to undergo number of manual operations to convert it into liquid form which is quite complex and requires time and continuous monitoring. This manual operations are converted into automation by introducing DCS Distributed Control System. 


by Mr. J. Asokan | S. Gobisha | T. Haritha | K. P. Thivy
apriya ""Preparation and Control of Chemical Filling Station by using DCS""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30203.pdf

Paper Url : https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30203/preparation-and-control-of-chemical-filling-station-by-using-dcs/mr-j-asokan

internationaljournalsofcomputerscience, callforpapercomputerscience, ugcapprovedjournalsforcomputerscience

Tuesday, February 11, 2020

Design Evaluation and Development of Lumbar Cage


Lumbar spinal fusion is advance method of surgery to permanently join or fuse two or more vertebrae in the human spine in order to eliminate the relative motion between them. It is currently considered as the most successful surgery in the patients with spinal deformity and degenerative spondylolisthesis. Its success critically depends on the geometric design of the interbody cages and the material properties of the material used. The main objective of this work is to design analyse and develop a 3D model of the intervertebrae disc for human lumbar spine based on anatomical reverse engineering techniques ARE techniques such as magnetic resonance imaging MRI scan. For this purpose, the sizes of L4 L5 which are the largest vertebrae of the human spine, were observed and modeled accordingly by using CREO with standard dimensions. The prototype was made with PLA plastic using an FDM 3D printer. The analytical tests were carried on ANSYS by applying various complex motions on the intervertebrae disc surface and the stress distributions were compared for the optimization of lumbar cage design. The compression force was applied on the prototype and observed till failure. Results obtained were compared for static position of the lumbar cage, of both analytical and physical outcomes. 


by T. Venkataramana | E. Srinath Reddy | E. Pavan Kumar | B. Chenna Keshavulu ""Design Evaluation and Development of Lumbar Cage""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30136.pdf

Paper Url : https://www.ijtsrd.com/engineering/mechanical-engineering/30136/design-evaluation-and-development-of-lumbar-cage/t-venkataramana

peerreviewedjournals, reviewpapers, callforpaperhealthscience

Monday, February 10, 2020

Real Time Monitoring of Self Propelled Center Pivot Irrigation System using Microcontroller


Agriculture is very important in everyday day life. Without agriculture we cannot satisfy our daily needs such as food. The process of developing the agriculture is very difficult as it depends on season, rainfall, water, soil, humidity etc. Rainfall is the important factor among this. Due to the changes of the season the rainfall is not constant, due to the lack of rainfall the farming land becomes dry and the irrigation of crops is very difficult for the farmers. This is the major problem in the agriculture. To overcome this in olden days the farmers used variety of irrigation systems for better crop production. Irrigation is nothing but watering the crops in cultivating land. The irrigations such as drip irrigation, springler irrigation, surface, subsurface irrigation are commonly used in many countries. These irrigation can perform a different characteristics and functions for a better crop production. Drip irrigation method was used in Israel by using the tubes and pipes. The springler irrigation method was used in Australia. These two irrigation system are now commonly used in India. In this irrigation the drop of water is send to crops but the water is insufficient and crops does not grow faster. Here we propose a new method of irrigation called center pivot irrigation system. The system is constructed in the center of farmland. It consists of sprinkler at the top and it sprinkles the water uniformly to all the crops. The crops get enough water and yield in a good manner. By using this method there is no water loss. 


by M. Anusudha | B. Banupriya | A. Godhawari | Mr. J. Asokan ""Real Time Monitoring of Self Propelled Center Pivot Irrigation System using Microcontroller""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , Febr

uary 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30191.pdf

Paper Url : https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30191/real-time-monitoring-of-self-propelled-center-pivot-irrigation-system-using-microcontroller/m-anusudha

ugcapprovedjournalswithlowpublicationfees, conferenceissuepublication

Waste Water Management for Smart City


In the recent years, the scarcity of water is one of the major important problems for human needs and other living things. In the existing has the inaccurate output. The advanced system overcomes the existing system. This system uses the automatically manages the waste water without waste. The system uses the Internet of things IoT for waste water management in smart cities. It also uses the sensors for sensing the waste water and also the data is transmitted to the mobile app or web application through IOT using cloud. The PH sensor is used to separate the water for the specified purpose like agriculture and other sources. This technology is used to remove the contamination from the waste water. 


by Badusha. S | Gopikannan. S | Janarthanan. S | Gnanasekaran. S ""Waste Water Management for Smart City""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30231.pdf

Paper Url : https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30231/waste-water-management-for-smart-city/badusha-s

ugclistedjournals, indexedjournal, paperpublication

Saturday, February 8, 2020

Accident Alert System using Advance Microcontroller


In India most of the accidents are happening due to vehicles over speeding. Sometimes if obstacle is close to the vehicle then they won't be able to judge the distance to apply instant brakes and accident is occurred. To avoid accident due to over speeding, obstacle detection using ultrasonic sensors is used. In this project ultrasonic sensor is used for 360degree detection of obstacle. If obstacle is in front of the vehicle less than safety distance, automatically brakes will be applied or if vehicle comes from backside of the vehicle and is at less than safety distance then the warning light is shown to vehicle. Sometimes if vehicle is coming very close to our vehicle just before hit the vehicle the airbags are open. 


by Rahul Bhatade | Pratiksha Gawai | Prof. Sandip Zade ""Accident Alert System using Advance Microcontroller""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30105.pdf

Paper Url : https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30105/accident-alert-system-using-advance-microcontroller/rahul-bhatade

callforpaperpapersconference, highimpactfactor, manuscriptpublication

Friday, February 7, 2020

Tumor Detection and Classification of MRI Brain Images using SVM and DNN

The brain is one of the most complex organ in the human body that works with billions of cells. A cerebral tumor occurs when there is an uncontrolled division of cells that form an abnormal group of cells around or within the brain. This cell group can affect the normal functioning of brain activity and can destroy healthy cells. Brain tumors are classified as benign or low grade Grade 1 and 2 and malignant tumors or high grade Grade 3 and 4 . The proposed methodology aims to differentiate between normal brain and tumor brain Benign or Melign . The proposed method in this paper is automated framework for differentiate between normal brain and tumor brain. Then our method is used to predict the diseases accurately. Then these methods are used to predict the disease is affected or not by using a comparison method. These methodology are validated by a comprehensive set of comparison against competing and well established image registration methods, by using real medical data sets and classic measures typically employed as a benchmark by the medical imaging community our proposed method is mostly used in medical field. It is used to easily detect the diseases. We demonstrate the accuracy and effectiveness of the preset framework throughout a comprehensive set of qualitative comparisons against several influential state of the art methods on various brain image databases. 

by Sanmathi. R | Sujitha. K | Susmitha. G | Gnanasekaran. S ""Tumor Detection and Classification of MRI Brain Images using SVM and DNN""

Published in International Journal of Trend in Scientific Res
earch and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,

URL: https://www.ijtsrd.com/papers/ijtsrd30192.pdf

Paper Url : https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30192/tumor-detection-and-classification-of-mri-brain-images-using-svm-and-dnn/sanmathi-r

callforpaperpapersinjournals, specialissuepublication, multidisciplinaryjournal