Sinhgad Academy of Engineering
Sinhgad Academy of Engineering
Thakare A.,Sinhgad Academy of Engineering |
Patil K.,Sinhgad Academy of Engineering
1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 | Year: 2016
Cooperative Beamforming is a flourishing technique to resolve many issues related to Cognitive Radio Networks. One of them is to overcome the problems caused by failure of several nodes in a network. In case of node failures, the optional paths are selected instead of intended paths which may cause additional delay. This work suggests a route conservation protocol with minimal changes in a basic routing protocol. In the aid of Cooperative Beamforming, fellow nodes try to blend in with cooperative environment to prevent transmission at primary receiver. The key purpose is to increase the quantity of nodes used in cooperative beamforming. Several simulations are carried out in NS2. The reliability of proposed protocol can be determined in terms of throughput, PDR(Packet Delivery Ratio) and end-to-end delay, by accomplishing minimal rate. The manipulation of proposed protocol in combination with other available routing protocols is easily possible. © 2016 IEEE.
Yadav A.,Sinhgad Academy of Engineering |
Rathod S.B.,Sinhgad Academy of Engineering
Proceedings - 2nd International Conference on Computing, Communication, Control and Automation, ICCUBEA 2016 | Year: 2016
Scheduling of task and resources using an efficient task scheduling algorithm improvise the efficiency and throughput of the cloud server. Scheduling in cloud is based on selection of best suitable resources for task execution, by considering various QoS parameters. Priority based task scheduling by mapping conflict-free resources and workload in cloud computing environment is the proposed scheduling method in this paper. This will result in conflict-free resource allocation to the task based on priority and a balanced workload scheduling. In this technique task scheduler and resource scheduler will work co-ordinately to achieve the desired throughput with the minimum response time. The main objective of this paper is to have maximum utilization on client and server side accessing the cloud environment.
Wadhai V.M.,Sinhgad Academy of Engineering
Proceedings of 2017 11th International Conference on Intelligent Systems and Control, ISCO 2017 | Year: 2017
Mobile healthcare systems have great potential for continuous monitoring. These devices are often battery operated. Thus energy management in these wearable, wireless devices is a big challenge for longer durations. In this paper a systematic review of various techniques suggested in literature for energy efficiency and management in such wireless devices is presented. Various research efforts made to optimize the power of wearable, wireless devices at system level, algorithm level and circuit level have been presented. It is followed by energy harvesting technology and wireless power transfer technology useful for energy management in wearable devices. © 2017 IEEE.
Potgantwar A.D.,Sandip Institute of Technology and Research Center |
Wadhai V.,Sinhgad Academy of Engineering
Procedia Computer Science | Year: 2016
The broad usage of mobiles or tablets as handheld devices has lead to various inventive applications & services which are making their existence felt in daily life. One such application is location tracking in indoor environments. This research will present a real time portable RFID indoor positioning device i.e. for smart phones. To interpret the unknown locations the application will rely on WLANs, exploit Received Signal Strength (RSS) values from neighboring Access Points (AP) that are constantly monitored by the mobile devices, RFID and directional antenna. The broadcasted energy can be used effectively by triggering the antenna to radiate in preference to different directions in which tags are most likely to be found. The idea is to make use of directional antenna which will effect in low power consumption and higher accuracy rate. To issue higher reliability in the process of navigation a method will be proposed to calculate the Quality of Positioning which will provide accurate target locations. Accuracy, precision, efficiency, Environmental factors and Energy Consumption has been taken into study by performing experiments under several conditions to demonstrate effectiveness of the proposed model. © 2016 The Authors.
Wadhai V.M.,Sinhgad Academy of Engineering
Proceedings - IEEE International Conference on Information Processing, ICIP 2015 | Year: 2015
mHealth is a growing concept across the globe. This is due to mobile access becoming more ubiquitous than the healthcare access in urban as well as rural areas. mHealth makes use of mobile communication technology for broad range of healthcare applications. It includes health information delivery, remote health monitoring of the patient, remote diagnosis and even remote treatment of the patients. There is a huge scope for using mobile communication technology for the development and deployment of innovative healthcare products and services. This paper presents introduction to mHealth concept. It further highlights various considerations for long term health monitoring as one of the major application area of mHealth. To demonstrate the concept, a prototype system for long term ECG monitoring is proposed. The system comprises of a 3 lead ECG device with microcontroller and Bluetooth connectivity. An Android based mobile application has been used to display wirelessly received ECG data in the form of ECG Wave. © 2015 IEEE.
Sharma S.,Sinhgad Academy of Engineering |
Borse R.,Sinhgad Academy of Engineering
Advances in Intelligent Systems and Computing | Year: 2016
The responsibility of controlling and managing the plant growth from early stage to mature harvest stage involves monitoring and identification of plant diseases, controlled irrigation and controlled use of fertilizers and pesticides. The proposed work explores the technology of wireless sensors for remote real time monitoring of vital farm parameters like humidity, environmental temperature and moisture content of the soil. We also employ the technique of image processing for vision based automatic disease detection on plant leaves. Thus this paper vigorously describes the design and construction of an autonomous mobile robot featuring plant disease detection, growth monitoring and spraying mechanism for pesticide, fertilizer and water to apply in agriculture or plant nursery. To realize this work we provide a compact, portable and a well founded platform that can survey the farmland automatically and also can identify disease and can examine the growth of the plant and accordingly spray pesticide, fertilizer and water to the plant. This approach will help farmers make right decisions by providing realtime information about the plant and it’s environment using fundamental principles of Internet, Sensor’s technology and Image processing. © Springer International Publishing AG 2016.
Ghatule M.P.,Sinhgad Academy of Engineering
2015 International Conference on Pervasive Computing: Advance Communication Technology and Application for Society, ICPC 2015 | Year: 2015
With the rapid spread of radio communication network including cellular phone, Radar Communication System, Navigation, Internet Communication Satellite communication etc., the ANTENNA is basic device which is used in all communication systems. Its proper design is essential to run those systems effectively and gainfully. Conspicuously wide antennas for various transmitting and receiving stations installed on steel towers, suburbs and on the roofs of the buildings and tops of the electrical poles and towers in the city and also in rural area. Thus antenna is the backbone of the any radio wave and microwave communication system. The antenna is usually lightweight, low cost, easily machinable electrically good conductor device. It is mainly divided into two groups (1) External antenna and (2) Internal antenna. External antenna is large in size, material cost is also high and in practice it has more radiation losses. It can be reduced by modern design techniques but its shape and size again incorporates a major problem while interface with the communication devices. However, internal antenna brought in to practice so that, it is easily interface with the any communication system. Numerous design techniques have been used from many years to design the perfect and proper internal antenna. Thus internal antenna is proven benchmark device used in the wireless communication system. Well-known antenna widely used in this area which is known as MICROSTRIP ANTENNA. This paper mainly focuses on the design of miscrostrip antenna to meet the industrial design problems so that it works properly and precisely. Many more design tools and techniques have been used to getting progressive performance of it. As the operating microwave frequency changes or fixed the designed antenna with respect to derived parameters may not give satisfactorily performance. The skilled or expert designer on his experience does changes in the derived design parameters and complete the task so that perfect fitting of the parameters (Patch width W, Length L substrate density etc. ) resulting increases its performance. Hence it translates the designer's knowledge into correct parameter setting. The paper describes proposed work to design and develop a Microstrip Antenna employing conventional mathematical model design which acquires constant environmental conditions for propagation of microwave. In this paper Fuzzy logic technique is effectively used to design and development of miscrostrip antenna which is based on the fuzzy set theory. Also it is proposed to develop Fuzzy Inference System (FIS) on the basis of expert design knowledge and experience. Finally test performance of the conventional design of microstrip antenna and fuzzy based design antenna has been compared. To avoid computational complications it is proposed to use the computer with MATLAB software. It is also proposed that designed microstrip antenna properly interfaced and then it will be tested for performance. Unique computer program also (source code) developed which is useful to fast and easy computation work. In actual practice of this work, Patch length L and width W is taken as input variables and frequency as output variable in the FIS. This paper concludes that fuzzy based design and developed technique is found to be most suitable for betterment of miscrostrip antenna. © 2015 IEEE.
Kemalkar A.K.,Sinhgad Academy of Engineering |
Bairagi V.K.,Sinhgad Academy of Engineering
2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICE-CCN 2013 | Year: 2013
This paper presents a no-reference image quality assessment, targeted towards blur distortions based on the study of human blur perception for varying contrast values. A probabilistic framework is developed based on the sensitivity of human blur perception at different contrasts. Utilizing this framework, the probability of detecting blur at each edge in an image is estimated. The blur perception information at each edge is then pooled over the entire image to obtain a final quality score by evaluating the cumulative probability of blur detection. Proposed metric is able to predict relative amount of blurriness in images. Higher metric value represent less blurred image. Results are provided to illustrate the performance of proposed metric. Performance of proposed metric is compared with existing no reference image quality metric for various publically available image databases. © 2013 IEEE.
Bairagi V.K.,Sinhgad Academy of Engineering |
Sapkal A.M.,College of Engineering, Pune
IET Science, Measurement and Technology | Year: 2012
Many classes of images contains spatial regions which are more important than other regions. Compression methods which are capable of delivering higher reconstruction quality are attractive in this situation for the important parts. For the medical images, only a small portion of the image might be diagnostically useful, but the cost of a wrong interpretation is high. Hence, Region Based Coding (RBC) technique is significant for medical image compression and transmission. Lossless compression in these 'regions' and lossy compression for rest of image can helps to achieve high efficiency and performance in telemedicine applications. This paper proposes an automated, efficient and low complexity, lossless, scalable RBC for Digital Imaging and Communications in Medicine (DICOM) images. The advantages of RBC are exploited in this paper, segmenting the region into various regions of importance and subjecting varying bit-rates for optimal performance. Moreover, the combined effects of Integer Wavelet Transform (IWT) and bit-rate limiting compression technique for lesser important regions helps reconstruct the image, reversibly, up to a desired quality. The overall compression thus reaches a satisfactory level to be able to safely transmit the image in limited bandwidth over a telemedicine network and reconstruct diagnostic details for treatment, most faithfully. © 2012 The Institution of Engineering and Technology.
Dhakate M.,Sinhgad Academy of Engineering |
Ingole A.B.,Sinhgad Academy of Engineering
2015 5th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, NCVPRIPG 2015 | Year: 2015
Pomegranate is a fruit which grows with a very high yield in many states of India and one of the most profits gaining fruit in the market. But due to various conditions, the plants are infected by various diseases which destroy the entire crop leaving very less product yield. So, the work proposes an image processing and neural network methods to deal with the main issues of phytopathology i.e. disease detection and classification. The Pomegranate fruit as well as the leaves are affected by various diseases caused by fungus, bacteria and the climatic conditions. These diseases are like Bacterial Blight, Fruit Spot, Fruit rot and Leaf spot. The system uses some images for training, some for testing purpose and so on. The color images are pre-processed and undergo k-means clustering segmentation. The texture features are extracted using GLCM method, and given to the artificial neural network. The overall accuracy of this method is 90%. The results are proved to be accurate and satisfactory in contrast to manual grading and hopefully take a strong rise in establishing itself in the market as one of the most efficient process. © 2015 IEEE.