Sasmita Mishra

Protein secondary structure prediction of PDB 4HU7 using Genetic Algorithm (GA)

In the last few decades the Genomic data and research associated to these Genomic Data sets are folded in to several times. Bioinformatics is the Application of Computer technology in the field of medicine or drug research. As these Genomic data are folded into a huge multiples so there is the necessity of computer and an effective computing technology to process these data set for better and optimum result in Drug design or medical/medicine research. There are various hard computing and Soft Computing technologies that are being applied in this field by various researchers. Soft Computing technologies like Artificial Neural Network, Fuzzy Logic, Genetic Algorithms and other hybrid soft computing technologies like swarm optimization, Ant Colony Network are also very popular and upcoming technologies for these research. Protein Structure prediction is the prediction of three dimension structure form its amino acid sequence and a Protein molecule contain several amino acid sequences which changes it shape in the effect of external agents and application of various drugs from time to time. Genetic Algorithm is a model of machine learning which represent the behaviour of the system in the form of a metaphor of the processes. So Genetic Algorithm can be applied in the field of Protein Structure Prediction to predict the structure and for the creation of a metaphor of the changes in the shape and size of the protein molecules or the amino acid sequences. So in this research article we have applied Genetic Algorithm for the purpose of Protein Structure prediction. For a case study purpose we have taken the example of a 4HU7 protein data set and we have also provides the simulation result for this purpose.

Mobile Data Offloading Using Opportunistic Communication and AP Deployment: A Case Study

There is an exponential surge in the number of Wi-Fi enabled devices which has caused an unprecedentedoverloadoncellularandWi-Finetworks.Thetwoemergenttechniquesthathavemade significantdifferenceinthereductionofnetworktrafficsurgeareopportunisticcommunicationand effectiveaccesspointdeployment.Sincethesetechniquestakeusermobilityintoaccount,theauthors proposetoimplementthematplaceswheremobilitypatternofuserscanbepredictedintuitively,such asacollegecampus.TheaimistofindstrategicpointsacrossacollegecampusfordeploymentofWiFiroutersandexplorethepossibilityofopportunisticcommunication.Then,thefocusisonfinding thetargetsetwhichensureshighrateofinformationdisseminationusingproposedrandomandgreedy algorithms.ThemobilitytracesarecapturedusinganandroidappWeCamp,whichsubsequently helpstofindthelocationswithmaximumnumberofusersandtoredeployaccesspointsinsuch placesusingproposedalgorithmstoensureuniformnetworkspeedsandefficientWi-Ficonnectivity. KeywORDS Access Point (AP), Cellular Network, Contact Graph, Mobile Data Offloading, Opportunistic Communication, Target Set, WeCamp, Wi-Fi

A review on application of artificial neural network(ANN) on protein secondary structure prediction

Soft computing technologies are the most efficient technology in the field of Bioinformatics now a days. So many researchers are very keen interested in this topic to find out many unknown facts applying soft computing techniques in the field of DNA RNA alignment, Protein Structure Prediction, Gene mapping etc. Artificial neural network is one of the good techniques for the protein structure prediction problem. Protein structure prediction is the prediction of secondary, territory and quaternary structures of protein molecules in the effect of any external agents. There are many researchers working upon the field of applying ANN technology in Protein Structure prediction. This paper provides a review upon such type of researches that are carried out over the years i.e. application of ANN in the field of Protein Structure Prediction. In this review article we have discussed various technologies like MLP, RBF, SVM, RBFN, PNN and their applications that are being carried out in several research papers. In the summary section it provides a clean comparison of research work carried out by several researches.