Syarifah Adilah Mohamed Yusoff, Ibrahim Venkat, R. Abdullah, U. K. Yusof
{"title":"Mass Spectrometry Analysis via Metaheuristic Optimization Algorithms","authors":"Syarifah Adilah Mohamed Yusoff, Ibrahim Venkat, R. Abdullah, U. K. Yusof","doi":"10.1109/BIC-TA.2011.7","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.7","url":null,"abstract":"Biologically inspired metaheuristic techniques for extracting salient features from mass spectrometry data has been recently gaining momentum among related fields of research viz., bioinformatics and proteomics. Such sophisticated approaches provide efficient ways to mine voluminous mass spectrometry data in order to extract potential features by getting rid of redundant information. This feature extraction process ultimately aids in discovering disease-related protein patterns in complex mixtures that is easily obtained from biological fluids such as serum and urine. This article provides an overview of such typical bio-inspired approaches.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132090903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Abduction in Neuro Symbolic Integration","authors":"S. Sathasivam","doi":"10.1109/BIC-TA.2011.50","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.50","url":null,"abstract":"Abduction is the process of proceeding from data describing a set of observations or events, to a set of hypotheses which best explains or accounts for the data. Most of the work on abduction has been done using a logical or a probabilistic approach. In this paper, we describe logic recognition as application of this abduction underlying logic to identify data sets of logical clauses that are having similar logic content. Abduction is used in recognition of similar logic content while evading differences in knowledge representations. We used Reverse Analysis method based on Hop field network to capture the rules underlying in a database. Later, we used abduction technique for logic recognition in that database.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115704003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DNA Computing in Microreactors: A Solution to the Minimum Vertex Cover Problem","authors":"Xuncai Zhang, Ying Niu, Yanfeng Wang","doi":"10.1109/BIC-TA.2011.34","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.34","url":null,"abstract":"Based on its massive parallel computational power and high density storage capacity, DNA computing has been applied to various computational problems. In order to improve its reliability, reduce time and simplified operations, micro fluidic chips support an effective way to realize an automat able and universal DNA computer. In this paper we introduce micro fluidic logic operators, simple fluidic switches and memory. Furthermore, the use of electronic fluidic control components in micro fluidic systems will be demonstrated in such way as to perform dynamic operations and programming. The computer occupies linear space and operates in quadratic time.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123530376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spiking Neural P Systems for Arithmetic Operations","authors":"Xiangxiang Zeng, Tao Song, L. Pan, Xingyi Zhang","doi":"10.1109/BIC-TA.2011.42","DOIUrl":"https://doi.org/10.1109/BIC-TA.2011.42","url":null,"abstract":"Recently, Guti´errez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices -- spiking neural P systems (for short, SN P systems). However, the binary encoding mechanism used in their research looks like the encoding approach in electronic circuits, instead of the style of spiking neurons (in usual SN P systems, information are encoded as the time interval between spikes). In this work, three SN P systems are constructed as adder, subtracter and multiplier, respectively. In these devices, a number is inputted to the system as the interval of time elapsed between two spikes received by input neuron, the result of a computation is the time between the moments when the output neuron spikes.","PeriodicalId":211822,"journal":{"name":"2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125258069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}