Asian Journal of Convergence in Technology
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Resolving the Interference in 5G Millimeter WaveThrough Scheduling Technique In EstimatedChannel
Get PDFIn this paper we describe the designing of MIMO(Multiple input and multiple output ) system along with scheduling technology which schedule the beam depending on SINR ratio keeping it different from other scheduling techniques like RR and PF techniques. This paper describe the effect of scheduling to compare different parameter for the dynamic resource allocation.Now a days communication industry increasing spontaneously In this late century, use of mobile and cellular services are very common .In the proposed method of SINR scheduling technique signals are scheduled according to their signal to noise plus interference ratio. We tried to develop the effective scheduling technique that support the QPSK and implementing lower complexity into MIMO estimated channel. We resolve the inter cell interference between the base station and destination which causes a large effect system capacity. Intercellular interference become more problematic with the decrease in cell siz
An Overview of Machine Learning Techniques and Tools for Predictive Analytics
Get PDFPredictive analytics is the use of raw facts or data, algorithms of statistics and techniques of machine learning to identify what is the possibility of future outcomes based on historical data. Our main goal is to get the knowledge of what has happened in the past and predict future scenarios. This paper gives a brief introduction of various machine learning techniques and tools which use these machine learning techniques to accurately predict the outcomes based on the given data and business requirement. Furthermore, this paper is aimed help beginners in the field of predictive analytics to choose between various tools and techniques available in the market which can maximize the accuracy and outcomes
Text Recognition Techniques
Get PDFText recognition is an analytical field of emerging research and development, and is indeed instrumental in converting the text obtained from the underlying documents, images or other input sources into digital text. Primarily, there are two methods of text recognition, viz. online recognition method and offline recognition method depending on the sources of input. The two major problems that often arise or occur in the process of text recognition include: text location identification within the document or image and text recognition and identification. Moreover, the complexity increases while dealing with handwritten text. A number of techniques to recognize type-written as well as hand-written text have been developed till date. This paper presents the state of the art and a model is proposed that can yield better results
Converting Non-Digitzed Health Data to Digital Format
Get PDFThe main aim of our project is to convert medical records in traditional non-digitized format to a more useful digitized format using Optical Character Recognition (HCR). Using HCR software to recognize medical documents has many benefits. Manual method for data entry was used previously to capture data from medical records, when HCR was not present. With this handwritten character recognition method, it shows the ability of a computer to receive and recognize handwritten data in medical records. This paper mainly focuses on the recognition of handwritten English characters. Deep learning is the method used for identity recognition which will depend on the neural network. The records digitized using neural network will be stored on the cloud for future use
A Survey on Environment Monitoring using Sensor Networks
Get PDFEnvironment monitoring is one of the most important application of Robotic Sensor Network (RSN) and Wireless Sensor Network (WSN). Monitoring of various factors is required for different kinds of environments. These networks have a capability of measuring different parameters such as temperature, humidity and air quality. They also process, transmit, analyze and upload the data over the internet for future use and study. It can automate the system be giving commands based on the data measured for any system to get actuated. Monitoring such parameters using sensor networks helps the humans to avoid entering hazardous areas and can help the farmers to measure required parameters on the field from a remote location. A study and comparison of applications of RSN and WSN in different environments is presented in this review paper which can help make the life of such people easy
Smart Garbage Bin – A Waste Management System
Get PDFIn today’s era it is very important to manage and handle the waste. The waste bins kept in the public places overflows before the garbage cleaners arrive to collect the waste. As a result, the bins are not cleared off on timely basis and foul smell, maintaining of hygiene, spread of disease are the biggest problems in the public area. Smart Dustbin is the need of the hour for the urban areas. The paper aims at the development of a smart garbage bin alert system. The complete IoT based dustbin is designed and developed to automate the process and monitor it efficiently. The system measures the level of waste inside the bin and auto locks the garbage bin and informs municipal authorities about the same stating the location of the bin so that corrective measure can be taken for timely collection of garbage and avoidance of the filthiness in the area. The system will also adapt with network environment to manage all information from waste management
Techniques and procedure to be followed for developing fail safe system in complaince with ISO26262
Get PDF Advance Driving Assistance System (ADAS) is a future of entire automobile industry, A lot of Embedded Electronic Control Units (ECU’s) are integrating into the automobiles to improve the Comfort, Safety and Security like ADAS-Vision, Radar, and Adaptive Cruise Control (ACC) etc. But as number of ECU’s are increasing there is a lot of chances for malfunctioning behavior of the system and it is having major effects on the safety of Driver, Passengers and even environment, so there is a need for evolution of system architecture from fail safe to fail operational, For this purpose there is a need of detailed safety analyses need to be carry out for mitigating or completely silencing the obtained malfunctions, ISO26262 describes the steps to be carried out for safety analyses of the system, In this paper ,following the international safety standards for automobiles designing of the fail operational architecture was discussed from the existing fail safe architecture
Image Fusion Using Pulse Coupled Network
Get PDFThe article based totally on the MATLAB software program simulation was carried out on the image fusion; to design and develop a MATLAB based image processing application for fusing two images of the similar scene received through other modalities. The application is required to use Discrete Wavelet Transform (DWT) and Pulse Coupled Neural Network (PCNN) techniques. The comparison is to be performed on the results obtained on the above-mentioned techniques
Apple Fruit Quality Identification using Clustering
Get PDFAn apples a day keeps doctor away" this proverb gives us important of apple in our healthy life. Apples fruit is consist of plenty of nutrition's therefore, doctors are always prefer to advice to eat the apple in most of the diseases. Hence, there is a huge demand of apples in market. To fulfill this demands suppliers need to provide the good quality fruit. There is a need of quality fruits in market. In this work studied various types of apples quality by using clustering approach. Comparative analysis is performed and given results are much better as compare to earlier work
Design and Implementation of Statistical Estimation Based Model for Fair Assessment of Rain Interrupted Cricket Matches
Get PDFCricket has achieved the status of a religion in India due to its huge popularity. The huge amounts of money and interest that cricket garners is increasing the spotlight on making the cricket experience for avid fans more seamless and enjoyable. There is a immediate requirement to come up with a fair assessment method which at any point of the game can decide the winner considering all relevant factors influencing the match. The current model used in rain interrupted matches is the Duckworth-Lewis (D/L) method. In interrupted matches a decision has to be reached within an allocated time of the game and the game cannot be postponed to another day. It has been reported that the D/L method delivers unrealistic target scores for certain cases exhibiting its unfairness and bias towards teams batting second. The proposed algorithm formulated is an alternate approach that could serve well to reset the target score overcoming this intrinsic problem of the D/L method. This algorithm demands extensive data cleaning and structuring of the raw available data, followed by feature extraction. Exploratory analysis and statistical tests have then been carried out on the independent variables. The developed mathematical functions work for both batting and bowling teams and the neural networks are trained to learn these functions. The developed algorithm is trained and validated for all the completed ODI matches as well as for D/L matches. Accuracy of the model tested on completed ODI matches and for rain interrupted matches is 57 % and 61% respectively. The implemented algorithm can be extended to player selection, modelling using other features (apart from batting and bowling related) to improve the prediction for the rain interrupted matchesimplementing a D/L method - for fairer evaluation of outcomes