International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE)
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85 research outputs found
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Machine Learning Prediction of Wikipedia Time Series Data using: R Programming
No full texthis review article explains the prediction of automatic learning of Wikipedia time series data using r programming. Although many time series forecast researchers have been analyzed the time series could not cover the gap between chart interpretation and time series analysis of the Internet database directly. Its main objective is to explain the simplest way to time model series whose data structure was different using R programming, the result was sufficiently summarized with different forecast models. The simplest form of analysis with graphical interpretation to obtain conclusions from the time search Cristiano_Ronaldo of Wikipedia, a best player in euro football team. Whose trend and prediction is analyzed for next 2020 from the past records trend. Therefore, this document presents the simplest way to predict time series data and its strengths for data analysis using R programming
Information Processing in GLIF Neuron Model with Noisy Conductance
No full textIn this article, we investigate the generalized leaky integrate-and-fire (GLIF) neuron model with stochastic synaptic conductance. A neuron remains connected with other neuron via dendrites and axons at synapse, which can be treated as an electrical capacitor. Dendrites carry electro-chemical signals from input neuron to synapse whereas axons are responsible for their transmission form synapse to other neurons. Concentration of these electro-chemicals in synapse varies during entire time period. We investigate the effect of varying concentration of electro-chemicals at synapse in a single neuron model. Concentration variation of electro-chemicals at synapse is incorporated as noise in GLIF model. Excitatory and inhibitory synaptic conductance of neuron in GLIF is assumed as stochastic entities driven by Gaussian White noise. Stationary state membrane potential distribution for the proposed model is computed with reflecting boundary conditions, which is noticed as geometrically distributed. In order to investigate spiking activity and information encoding mechanism, an extensive simulation based study has been carried out. Temporal encoding technique is used to analyze the encoding mechanism. It is noticed that ISI distribution has higher variance with respect to excitatory input than inhibitory input
Extracting knowledge from Large Social Key Valued Data
No full textWith advances in computer and information technology, large amount of different typesof valuable data are gathered and generate in the present time of huge information from a largerange of sources of availability of information of various veracities at a high speed. Throughoutlate years, a couple of frameworks and applications have built up the utilization cloud, structureand organization enlisting to direct and analyze huge data with a specific end goal to help datascience (e.g., identifying and extracting data). In this paper, we display an answer for socialcomputing and social network analytics so as to provide services and support to big informationmining of fascinating examples from huge interpersonal organizations that are stored in keyvaluedatabase
An Evaluation of BPMN Solutions
No full textThe Business Process Model and Notation (BPMN) is the standard used to represent in a graphical way business processes that take place in every kind of organization and business. This paper analyzes three suites, jBPM, Bonita and BPM.NET, which are used to model business processes and that are compliant with BPMN 2.0. Lastly, a practical case is presented using jBPM to design a business process, and an assessment is given of its possibilities and drawbacks
A Machine Learning Approach for Speech Detection in Modern Wireless Communication Environment
No full textModern wireless communication has gained a improved position as compared to previous time. Similarly, speech communication is the major focus area of research in respective applications. Many developments are done in this field. In this work, we have chosen the OFDM modulation based communication system, as it has importance in both licensed and unlicensed wireless communication platform. The voice signal is passed though the proposed model to obtain at the receiver end. Due to different circumstances, the signal may be corrupted partially at the user end. Authors try to achieve a better signal for reception using a neural network model of RBFN. The parameters are chosen for the RBFN model, as energy, ZCR, ACF, and fundamental frequency of the speech signal. In one part these parameters have eligibility to eliminate noise partially, where as in other part the RBFN model with these parameters proves its efficacy for both noisy speech signals with noisy channel as Gaussian channel. The efficiency of OFDM model is verified in terms of symbol error rate and the transmitted speech signal is evaluated in term of SNR that shows the reduction of noise. For visual inspection, a sample of signal, noisy signal and received signal is also shown. The experiment is performed with 5dB, 10dB, 15dB noise levels. The result proves the performance of RBFN model as the filter.The performance is measured as the listener’s voice in each condition. The results show that, at the time of the voice in noise environment, proposed technique improves the intelligibility on speech quality
An Innovative Approach for Quick Shopping Using QR-Code for Indian Precinct
No full textIn the present scenario life style became too fast and in this rushing life style shoppingbecome hectic for everyone. In the era of technical achievement, there are multiple advancedways available for shopping. In which window shopping, virtual shopping is few commonnames. Present paper elaborated about the advancement in virtual shopping via QR code oversmart phone. we are creating a shopping system which is simple, fast, easily approachableand mutually supported by both customers and merchants. In view of the smartphone havebecome a highly used handheld device, a simple android /IOS application was given to designshopping system run on smart phones, with the help of QR code generation and recognitiontechnology
PREDICTION MODEL FOR POLLUTANTS WITH ONBOARD DIAGNOSTIC SENSORS IN VEHICLES
No full textIn this work, a prediction model is developed to illustrate the relationship between the internal parameters of a vehicle and its emissions. Vehicles emit various hazardous pollutants and understanding the influence of in-vehicle parameters is key to reducing their environmental impact. The values of the internal parameters were collected through the On-Board Diagnostics port, while the values of the emissions were measured from the exhaust pipe using Arduino sensors. The observed values were then matched based on the timestamps received from both sources and fit with both linear and polynomial regressions to accurately model the relationship between the internal parameters and pollutants. These models can then be used to estimate vehicle emissions based on the in-vehicle parameters, including vehicle speed, relative throttle position, and engine revolutions per minute. A wide majority of the relationships between various in-vehicle parameters and emissions show no observable correlation. There are observable correlations between carbon dioxide emissions and vehicle speed, as well as carbon dioxide emissions and engine revolutions per minute. These relationships were modelled using linear and polynomial regression with a resulting adjusted R-squared value of approximately 0.1
Information Processing in Neuron with Exponential Distributed Delay
No full textArtificial intelligence (AI) has been become the primary need in nearly all sectors namely engineering, services, banking, finance, defense, space etc [3], [33]. Artificial intelligence in these sectors can be implemented in two ways: (i) hardware level implementation (ii) software level implementation. Both kinds of AI implementation require neuron models which mimic the minimal set of real neuron functionality. To this end, Leaky Integrate-and-Fire (LIF) model is performing as the backbone for both kinds of AI implementation. At hardware level implementation, it’s a variant, called as neuristors, is used at chip level implementation, whereas a number of variants LIF model are used to implement AI at software level. In this work, the extended LIF model in distributed delay kernel regime is analyzed. The impact of exponentially distributed delay (EDD) memory kernel on spiking activity and steady state membrane potential distribution (SVD) of LIF neuron is investigated. Fokker-Planck equation associated with the considered model is solved to investigate SVD of the neuron in sub-threshold regime, which results Gaussian distribution. In order to study the information processing, spiking activity of the model is investigated, which is further extended to neuronal rate-code scheme. These finding have been compared with simple LIF model with stochastic input. It is evident that steady state membrane potential distribution of the LIF neuron is invariant due to the presence of EDD. Such kinds of neuron models are useful to implement artificial neural networks. To this end, the proposed model can used to implement recurrent neural networks (RNN) with comparatively more accuracy. Similarly, this model can also be investigated in term of chip level implementation of AI
An Adaptive Approach for AODV Routing Protocol in MANET
No full textPresently a day, Ad-hoc arrange has turned into a resolute part for correspondence for cell phones. A mobile adhoc network (MANET) is a collection of wireless mobile nodes dynamically forming a network topology without the use of any existing network infrastructure or centralized administration. Routing is the procedure which transmitting the information bundles from a source node to a given destination or goal. The primary classes of steering conventions are Proactive (table driven), Reactive (on request) and Hybrid. A Reactive (on-request) directing technique is a famous routing classification for remote specially appointed steering. The most productive receptive convention is Ad-hoc on demand distance vector (AODV) routing convention. This paper gives an outline of AODV conventions by displaying their attributes, usefulness, different convention property parameters, for example, Route Discovery, Flooding, Route Maintenance and Advantages and constraints. The NS-2 is utilized for the re-enactment reason. In this paper we exhibit the AODV convention and review different security improvements that have been proposed for AODV by various researcher
Cow Behavior Monitoring Using a Multidimensional Acceleration Sensor and Multiclass SVM
No full textThe daily behavior of dairy cows reflects the health and well being status. An automated monitoring system is needed for suitable management. It helps farmers to have a comprehensive view of the cattle healthy and manage large of cows. Acceleration sensors can be found in various kinds of applications. In this paper, we detect the cow’s activities by using a multidimensional acceleration sensor and multiclass support vector machine (SVM). The acceleration sensor is attached to the cow’s neck-collar in order to sense the movements in X, Y, and Z axes. The data is brought to a microprocessor for pre-processing, and join in a wireless sensor network (WSN) through a Zigbee module. After that, the data are transferred to the server. At the server, a suitable SVM algorithm is chosen and applied to classify four main behaviors: standing, lying, feeding and walking. A well know kernels, Radius Basic Function (RBF), is chosen. After that, a cross validation (k-fold) is used to measure the error and select the best fit model. The sensor is used to acquire experimental data from Vietnam Yellow cows in the cattle farm. The promising results with the average sensitivity of 87.51%, and the average precision of 90.24% confirm the reliability of our solution. The classification results can be automatically uploaded to the cloud internet and the farmer can easily access to check the status of his cow