Asian Journal of Convergence in Technology
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Analysis of Image Deblurring Techniques with Variations in Gaussian Noise and Regularization factor
—Image blur is integral part of imaging system and it often ruin the resultant image, video signal and photograph. Image Deblurring and Restoration is necessary in digital image processing. Many methods have been proposed in this regard and in this paper we will examine different methods and techniques of Deblurring. The analysis of these methods has been carried out on the basis of subjective and objectives results with varying various factors like regularization and WGN variance. The different methods of deblurring have tested for different spectrum of images. The results have compared with each method and based on comparative results particular method has been suggested for suitable applications. The point spread function has utilized to deblur the blurry images by changing different parameters which help to estimate amount of blur need to remove from blurry image. The performance of various deblurring techniques have evaluated based on MSE and PSNR.[1,2,3]
Analysis of Image Deblurring Techniques with Variations in Gaussian Noise and Regularization factor
Image blur is integral part of imaging system and it often ruin the resultant image, video signal and photograph. Image Deblurring and Restoration is necessary in digital image processing. Many methods have been proposed in this regard and in this paper we will examine different methods and techniques of Deblurring. The analysis of these methods has been carried out on the basis of subjective and objectives results with varying various factors like regularization and WGN variance. The different methods of deblurring have tested for different spectrum of images. The results have compared with each method and based on comparative results particular method has been suggested for suitable applications. The point spread function has utilized to deblur the blurry images by changing different parameters which help to estimate amount of blur need to remove from blurry image. The performance of various deblurring techniques have evaluated based on MSE and PSNR.[1,2,3].
 
An Optimization of MPEG-2 to Concise Color Video
With incredible advances in digital videotechnology, there is also increase in use of limitedexpensive resources. In this paper compression isachieved by using two algorithm scene changedetection and key frame extraction. Scene changedetection is accomplished using MPEG-2 (MovingPicture Expert Group) . Broadly frames are of threetypes is B I P. MPEG 2 detects scene change detectionhierarchical level of frame type. Key framesextraction is done using X2 as histogram difference.The resultant frames are replacement of completevideo. The compression ratio is achieved is 0.9537%.For key frame extraction threshold plays an eminentrole. Video is segmented in scene shots over framesrespectively so this paper competently andcommendably use the limited expensive resourcessuch that to cater every individual requirement.Application to this entitled project is used cellularphones for video broad casting. Streamingconferencing portable media player (PMP) Digitalstorage media HDTV cable TV
A PERFORMANCE EVALUATION OF SPATULA SHAPE UWB ANTENNA USING PARAMETRIC ANALYSIS APPROACH ON THE DIMENSIONS OF INVERTED T-SLOT AND STUB GEOMETRY
An ultra-wideband (UWB) antenna with a multiband UWB antenna is presented. The antenna has been fabricated on an FR4 substrate and occupies an area of only 25 × 25 mm2. The study is extended for geometry reduction and better performance evaluation with a parametric analysis approach The proposed antenna is designed to operate from 2 to 12 GHz. It consists of a spatula shape patch with a partial ground plane to form an antenna. The antenna results are found much better with T slot and stub. Details of the proposed antenna design and measured results are presented and discussed
An Implementation Of GIS in Agriculture: A Boon To Sustainability
Sustainable Agriculture has been identified as one of the most important elements of the Sustainable Development Goal. The entire world is striving relentlessly to achieve it. In the 21st-century communication/ digital communication has been the major breakthrough and act as a driving force to research, development, living & well being. The Importance & impact of IT on agriculture attains high priority. Further, Introduction of Geographic Information System [GIS] has brought a revolution in communication. To see the collaboration of IT with different sectors may be challenging. Agriculture is one among them. Agriculture is known as the backbone of India's economy. It is a traditional sector which is vital to the survival of modern man. The collaboration of the traditional sector with the modern idea is E-Agriculture.The purpose of this paper is to get a clear view of the growth of agriculture sector by direct and indirect observations and experiences from the governance of IT in the rural sector of Odisha
An Critical Analysis of Statistical Foundation of Irreversible Thermodynamics Subject To Coarse Grain Entropy
The extensive study of statisticalfoundation of irreversible thermodynamics hasbeen carried out. The critical analysis revealsthat the conceptual problems are theprobabilities in statistical mechanicalexplanations of thermodynamic phenomena, theissue of irreversibility and the associatedthermodynamic arrow of time. Themicrodynamical origin of thermodynamicirreversibility represents perhaps the mostimportant unsolved problem in the foundationsof statistical mechanics. The coarse-grainingapproach to statistical mechanics and theproblems it faces in accounting forthermodynamic irreversibilit
Performance Analysis of MIMO-LTE over MQAM over fading channels using ANN
LTE (Long Term Evolution) which is a 3GPP (Third Generation Partnership Project) wireless standard uses the standard OFDMA (Orthogonal Frequency Division Multiple Access) modulation, MU-MIMO (Multiuser Multiple Input Multiple Output) technology and different multipath fading models. This paper characterizes the downlink performance of LTE using ANN (Artificial Neural Network). The MIMO technology made a breakthrough in wireless communication by providing high data rate applications to the users and is defined in the LTE standard. ANN is used to provide an estimate of the channel to minimize the deficiencies of multi-user transmission under Rayleigh multipath fading and improve reception of MIMO-OFDM systems by providing superior Bit Error Rate (BER) s. The performance is characterized in terms of BER (Bit Error Rate). In this paper the LTE system is modelled and simulated using MATLAB and the BER for 2×2 and 4×4 MIMO-LTE using ANN and QPSK, 16QAM and 64QAM modulation schemes for Rayleigh fading environment are obtained against different SNR values using ANN
InstaMed+: Medical Assistance System for Accidents
Long latency needed for emergency responders to arrive may be a primary reason behind magnified fatalities in serious accidents. A technique to scale back this latency is to scale back the number of your time it takes to report an accident. Smartphone’s are present and with network property are excellent devices to right away inform relevant authorities regarding the prevalence of an accident. We have a tendency to be coming up with a mechanical man application which can be helpful for peoples to assist different peoples who are laid low with incident like accident. It’ll facilitate U.S.A. to save lots of the accidental person. Project is style for an accident detection system. The accident detection systems inform the police room regarding the accident by clicking icon of accident. The appliance recommends close hospitals and police stations list in application. FIR is generating by police office and sends copy to the revered hospital system. Revered hospital scan user QR Code and supply treatment per info. Conjointly send emergency SMS to user’s pre-register mobile variety
Rash Driving Detection
Abnormal driving behaviors observation might be an anchor to improving driving safety. Existing works on driving behaviors observation using smart phones only supply a coarse-grained result, i.e. characteristic abnormal driving behaviors from normal ones. to boost drivers’ awareness of their driving habits therefore on stop potential car accidents, we would like to think about a fine-grained observation approach, that not only detects abnormal driving behaviors but in addition identifies specific varieties of abnormal driving behaviors, i.e. Weaving, Swerving, side slippery , fast reversion, Turning with a large radius and sudden braking. Recognizing this observation, we tend to further propose a fine-grained abnormal Driving behavior Detection and identification system to perform real-time high-accurate abnormal driving behaviors observation using smart phone sensors. We tend to extract effective choices to capture the patterns of abnormal driving behaviors. After that, a pair of machine learning ways, rash driving, or officially driving under the Influence (DUI) of alcohol, can be a serious reason for traffic accidents throughout the globe. In this, we tend to tend to propose a extraordinarily efficient system geared toward early detection and alert of dangerous vehicle maneuvers typically related to rash driving. The whole solution wants only a mobile placed in vehicle and with accelerometer device. Once any proof of rash driving is present, the mobile will automatically alert the driver or sends a message to predefined number in application for help well before accident actually happens
Four-Channel Universal Wireless Data Logger For Hazardous Processes
PIC Microcontroller based Wireless data loggerhas been designed through which we can measure & monitordifferent parameter like temperature, pressure, voltage etc indifferent hazardous processes. The main aim of this research workis to prevent major industrial accident & to prevent unwantedreleases of hazardous chemical, in order to avoid different tragediestaking place