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VOLUME 6, ISSUE 7, JULY 2018
Implementation & analysis of battery, supercapacitor & solar PV powered electric vehicle
Mr. Bahubali S. Zade, Prof. S.K. Biradar
Energy Meter with Tampering Detection and Power Saving Using IOT
Saurabh Mahawadiwar
Improvement in LEACH Protocol for Wireless Sensor Networks
Bhawna Singh, Shradhha Sood
Surveillance System for Abandoned Object Detection
Jagruti R. Shinde, Narendra M. Wagdarikar
Occlusion Handling in Pedestrian Detection
Poonam B. Yewale, Shridevi S. Vasekar
Stationarity Estimation for Time Series Rainfall Data
Vivekananda Mukherjee, Arnab Ghosh, Bayan Das, Binisha Chowdhury, Ankan Das
Abstract
Implementation & analysis of battery, supercapacitor & solar PV powered electric vehicle
Mr. Bahubali S. Zade, Prof. S.K. Biradar
DOI: 10.17148/IJIREEICE.2018.671
Abstract: This paper adds to the examination issue relating to the administration of various vitality sources on-board an unadulterated electric vehicle; especially the vitality thick footing battery and the power thick super capacitor or ultra- capacitor. This is accomplished by dissecting constant information on the communication between 40W sunlight based board to 12V lead corrosive battery pack and super capacitor module associated in parallel while endeavouring to satisfy the heap requests of the vehicle.
Keywords: Super capacitor, ESC, pV, SOC, Battery, BT, SC, REG.
Keywords: Super capacitor, ESC, pV, SOC, Battery, BT, SC, REG.
Abstract
Energy Meter with Tampering Detection and Power Saving Using IOT
Saurabh Mahawadiwar
DOI: 10.17148/IJIREEICE.2018.672
Abstract: In today’s world tampering detection and problems related to power savings are in huge amount. To avoid this many function energy meters for automatic meter reading using arduino kit are IOT based. It has facility of connecting with central database maintained by some energy provider using computing devices which can prevent theft detection from unauthorized users thus by leading to power saving losses. Remarkable feature of this meter is IOT based implementation which makes it faster, reliable and cost effective. Now a days, for high speed data rates the wireless system is used for communication protocol. The combine characteristics of the wireless technology and with micro controller ATMega16 can resolve the shortcoming of the technology. For Arduino Meter the hardware implementation was designed and analyzed .The chances of manual errors and delay in processing and misusage of the electricity by other sources. It requires many sets workers such as; one set of workers to write the reading and other set to cut down the power if payment is not paid at the right time.
Keywords: Arduino, Micro controller, Internet of Things, etc.
Keywords: Arduino, Micro controller, Internet of Things, etc.
Abstract
Improvement in LEACH Protocol for Wireless Sensor Networks
Bhawna Singh, Shradhha Sood
DOI: 10.17148/IJIREEICE.2018.673
Abstract: A Wireless Sensor Network (WSN) comprises of expansive number of spatially dispersed, wirelessly associated, self-representing sensor nodes, which are for the most part sent in harsh conditions. These sensor nodes require vitality to detect process and transmit data, however their vitality is limited. Therefore, there is a need to plan a vitality effective convention to broaden the lifetime of a WSN. LEACH is a protocol that is energy efficient, in this paper a concept of intermediate and advanced nodes is introduced to improve network lifetime of the energy efficient protocol such as LEACH.
Keywords: WSN, LEACH, Advanced Nodes, Network Lifetime
Keywords: WSN, LEACH, Advanced Nodes, Network Lifetime
Abstract
Surveillance System for Abandoned Object Detection
Jagruti R. Shinde, Narendra M. Wagdarikar
DOI: 10.17148/IJIREEICE.2018.674
Abstract: Today security in the public places is the main concern issue faced by world. Visual surveillance is used to analyze object behavior. This paper presents an approach for abandoned object detection in security surveillance videos using raspberry pi, a single board computer and python is used as programming environment. It involves static object, moving object detection and video tracking to identify the events occurring in the scenes. The proposed system takes video input, processes video with adaptive background modelling, morphological operation is performed to find the abandoned object and motion of owner of object. A warning is initiated on the screen when abandoned object is detected. Experiments are performed on PETS 2006 and ABODA dataset.
Keywords: Surveillance, Raspberry Pi, Python, Adaptive Background Modelling, Abandoned Object
Keywords: Surveillance, Raspberry Pi, Python, Adaptive Background Modelling, Abandoned Object
Abstract
Occlusion Handling in Pedestrian Detection
Poonam B. Yewale, Shridevi S. Vasekar
DOI: 10.17148/IJIREEICE.2018.675
Abstract: Object detection plays very important role in image processing. In which detection of pedestrian gains lot of interest due to it’s direct application in security system, visual surveillance etc. Occlusion means hiding of an object by another object during multiple human tracking. Different methods are implemented for pedestrian detection but that methods suffer from performance degradation due to occlusions, deformations and illuminations. In this paper problem of occlusion is addressed and this system uses two-stage classifier with circulant structure with kernel, named Integrated Circulant Structure Kernels (ICSK). The first stage is applied for transition estimation and the second is used for scale estimation. The circulant structure makes our algorithm realize fast learning and detection. Then, the ICSK is used to detect the target without occlusion and build a classifier pool to save these classifiers with noisy updates. When the target is in heavy occlusion or after long-term occlusion, redetect it using an optimal classifier selected from the classifier-pool according to an entropy minimization criterion.
Keywords: Pedestrian Detection; Visual Surveillance; Occlusion; ICSK
Keywords: Pedestrian Detection; Visual Surveillance; Occlusion; ICSK
Abstract
Stationarity Estimation for Time Series Rainfall Data
Vivekananda Mukherjee, Arnab Ghosh, Bayan Das, Binisha Chowdhury, Ankan Das
DOI: 10.17148/IJIREEICE.2018.676
Abstract: In this paper, fractality and stationarity of average rainfall value of India have been investigated with a focus on the self similarity pattern and nature of frequency oscillation of the two parameters namely the average rainfall value of North India and South India. The time series of these parameters in between 31st Oct 2006 to 1st Nov 2017, of North India and South India have been chosen for extracting the nature of scaling (fractality) and stationary behavior using statistical methodologies. Hurst Exponent for the time series have been calculated using the methodologies like Higuchi Fractal Dimension (HFD) and General Hurst Estimation (GHE). It has been noticed that both the time series show Short Range Dependent (SRD) anti-persistent behavior. Continuous Wavelet Transform (CWT) method has been incorporated to identify the stationarity/non-stationarity of the data-series where both the time series exhibit the non stationarity.
Keywords: Rain Fall Data; Hurst Exponent; Generalized Hurst Estimation (GHE); Higuchi’s Fractal Dimension (HFD); CWT
Keywords: Rain Fall Data; Hurst Exponent; Generalized Hurst Estimation (GHE); Higuchi’s Fractal Dimension (HFD); CWT
