Pub Date : 2016-05-24DOI: 10.4108/EAI.3-12-2015.2262493
C. Beta
{"title":"Cortical wave patterns in giant Dictyostelium cells","authors":"C. Beta","doi":"10.4108/EAI.3-12-2015.2262493","DOIUrl":"https://doi.org/10.4108/EAI.3-12-2015.2262493","url":null,"abstract":"","PeriodicalId":415083,"journal":{"name":"International Conference on Bio-inspired Information and Communications Technologies","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121958492","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}
Pub Date : 2016-05-24DOI: 10.4108/EAI.3-12-2015.2262602
I. Obagbuwa, M. Maharaj
Engineering problems belong to a large and complex category of optimization problems with non-linear and nonconvex functions; conventional methods are no longer sufficient to handle such problems. Meta-heuristic optimization algorithms have been proved in literature for being able to tackle complex problems. A new meta-heuristic algorithm called dynamic step-size roach infestation optimization algorithm based on searching behaviour of cockroaches was published recently. A Simple Euler method was introduced into a roach infestation optimization algorithm for the enhancement of swarm stability and to allow a balance of exploitation and exploration. The results of the experiments, show its superiority over the existing algorithms. In this work the same method was applied; and modified to solve a constrained engineering problem. The results obtained from simulation processes are close to those obtained by other meta-heuristic methods.
{"title":"A Dynamic Step-size Adaptation Roach Infestation Algorithm for Constrained Engineering Optimization Problems","authors":"I. Obagbuwa, M. Maharaj","doi":"10.4108/EAI.3-12-2015.2262602","DOIUrl":"https://doi.org/10.4108/EAI.3-12-2015.2262602","url":null,"abstract":"Engineering problems belong to a large and complex category of optimization problems with non-linear and nonconvex functions; conventional methods are no longer sufficient to handle such problems. Meta-heuristic optimization algorithms have been proved in literature for being able to tackle complex problems. A new meta-heuristic algorithm called dynamic step-size roach infestation optimization algorithm based on searching behaviour of cockroaches was published recently. A Simple Euler method was introduced into a roach infestation optimization algorithm for the enhancement of swarm stability and to allow a balance of exploitation and exploration. The results of the experiments, show its superiority over the existing algorithms. In this work the same method was applied; and modified to solve a constrained engineering problem. The results obtained from simulation processes are close to those obtained by other meta-heuristic methods.","PeriodicalId":415083,"journal":{"name":"International Conference on Bio-inspired Information and Communications Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130134418","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}
Pub Date : 2016-05-24DOI: 10.4108/EAI.3-12-2015.2262420
Christian Westendorf, C. Gruber, M. Grube
We have compared Physarum polycephalum to other plasmodial slime molds, based on several properties of their respective phaneroplasmodia, as well as their chemotactic responses. This work was presented at PhysNet 2015.
{"title":"Quantitative comparison of plasmodial networks of different slime molds","authors":"Christian Westendorf, C. Gruber, M. Grube","doi":"10.4108/EAI.3-12-2015.2262420","DOIUrl":"https://doi.org/10.4108/EAI.3-12-2015.2262420","url":null,"abstract":"We have compared Physarum polycephalum to other plasmodial slime molds, based on several properties of their respective phaneroplasmodia, as well as their chemotactic responses. This work was presented at PhysNet 2015.","PeriodicalId":415083,"journal":{"name":"International Conference on Bio-inspired Information and Communications Technologies","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121170983","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}
Pub Date : 2016-05-24DOI: 10.4108/EAI.3-12-2015.2262392
S. Kim, Joohyoung Lee, H. Jang, Xiang Zhang
One of the most important and challenging "knowledge extraction" tasks in bioinformatics is the reverse engineering of genes, proteins, and metabolites networks from biological data. Gaussian graphical models (GGMs) have been proven to be a very powerful formalism to infer biological networks. Standard GGM selection techniques can unfortunately not be used in the "small N, large P" data setting. Various methods to overcome this issue have been developed based on regularized estimation, partial least squares method, and limited-order partial correlation graphs. Several studies compared the performances among several network construction algorithms, such as PLSR, SCE, and ES, ICR and PCR, Ridge regression, Lasso and adaptive Lasso, to see which method is the best for biological network constructions. Each comparison analysis resulted in that each construction method has its own advantages as well as disadvantages according to different circumstances, such as the network complexity. However, it is almost impossible to recognize the complexity of the network before estimation. Thus, we develop an Ensemble method which is model averaging to construct a metabolic network. Our simulation studies show that the ensemble averaging based network construction has F1 score larger than these of other methods except only for Adaptive Lasso, reflecting its ability to account for uncertainty of network complexity.
{"title":"Metabolic Network Construction Using Ensemble Algorithms","authors":"S. Kim, Joohyoung Lee, H. Jang, Xiang Zhang","doi":"10.4108/EAI.3-12-2015.2262392","DOIUrl":"https://doi.org/10.4108/EAI.3-12-2015.2262392","url":null,"abstract":"One of the most important and challenging \"knowledge extraction\" tasks in bioinformatics is the reverse engineering of genes, proteins, and metabolites networks from biological data. Gaussian graphical models (GGMs) have been proven to be a very powerful formalism to infer biological networks. Standard GGM selection techniques can unfortunately not be used in the \"small N, large P\" data setting. Various methods to overcome this issue have been developed based on regularized estimation, partial least squares method, and limited-order partial correlation graphs. Several studies compared the performances among several network construction algorithms, such as PLSR, SCE, and ES, ICR and PCR, Ridge regression, Lasso and adaptive Lasso, to see which method is the best for biological network constructions. Each comparison analysis resulted in that each construction method has its own advantages as well as disadvantages according to different circumstances, such as the network complexity. However, it is almost impossible to recognize the complexity of the network before estimation. Thus, we develop an Ensemble method which is model averaging to construct a metabolic network. Our simulation studies show that the ensemble averaging based network construction has F1 score larger than these of other methods except only for Adaptive Lasso, reflecting its ability to account for uncertainty of network complexity.","PeriodicalId":415083,"journal":{"name":"International Conference on Bio-inspired Information and Communications Technologies","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121280694","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}
Pub Date : 2016-05-24DOI: 10.4108/EAI.3-12-2015.2262533
Paul Leger, Manuela López, Carmen Hidalgo-Alcázar, Hiroaki Fukuda
Word-Of-Mouth (WOM) is the opinion of consumers about a product. There is currently a clear trend in the use of WOM to diffuse information about a new product, known as WOM marketing campaigns. Marketing researchers are studying the impact of the different types of these campaigns has. The difficulty in getting data and isolating the effect that is analyzed limits the research of marketers in this topic. Lastly, some simulation models based on agents have overcome previous difficulty. However, these models are ad-hoc and specific solutions for every study. This poster proposes an open implementation of an agent-based model to simulate different scenarios of WOM marketing campaigns. Through customizations, this proposal will allow marketing researchers to test WOM marketing campaigns in different scenarios.
{"title":"An Open Agent-Based Model to Simulate the Effect of WOM Marketing Campaigns","authors":"Paul Leger, Manuela López, Carmen Hidalgo-Alcázar, Hiroaki Fukuda","doi":"10.4108/EAI.3-12-2015.2262533","DOIUrl":"https://doi.org/10.4108/EAI.3-12-2015.2262533","url":null,"abstract":"Word-Of-Mouth (WOM) is the opinion of consumers about a product. There is currently a clear trend in the use of WOM to diffuse information about a new product, known as WOM marketing campaigns. Marketing researchers are studying the impact of the different types of these campaigns has. The difficulty in getting data and isolating the effect that is analyzed limits the research of marketers in this topic. Lastly, some simulation models based on agents have overcome previous difficulty. However, these models are ad-hoc and specific solutions for every study. This poster proposes an open implementation of an agent-based model to simulate different scenarios of WOM marketing campaigns. Through customizations, this proposal will allow marketing researchers to test WOM marketing campaigns in different scenarios.","PeriodicalId":415083,"journal":{"name":"International Conference on Bio-inspired Information and Communications Technologies","volume":"484 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122744252","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}
Pub Date : 2016-05-24DOI: 10.4108/EAI.3-12-2015.2262364
A. M. Kwon, Ouyang Ming
The notion of data depth is a generalization of order statistics, ranks, and medians in one-dimensional space to multi-dimensional space. Band depth is a depth measure of functional data. A few articles in the literature emerged in recent years that used band depth to analyze functional data. The present work is the first attempt to develop a non-parametric clustering method based on band depth. Three definitions of band depth are compared, a few combinations of clustering strategies are employed, and band depth clustering is applied to DNA microarray data of yeast cell cycle. The results show that band depth clustering is efficient and robust.
{"title":"Clustering of Functional Data by Band Depth","authors":"A. M. Kwon, Ouyang Ming","doi":"10.4108/EAI.3-12-2015.2262364","DOIUrl":"https://doi.org/10.4108/EAI.3-12-2015.2262364","url":null,"abstract":"The notion of data depth is a generalization of order statistics, ranks, and medians in one-dimensional space to multi-dimensional space. Band depth is a depth measure of functional data. A few articles in the literature emerged in recent years that used band depth to analyze functional data. The present work is the first attempt to develop a non-parametric clustering method based on band depth. Three definitions of band depth are compared, a few combinations of clustering strategies are employed, and band depth clustering is applied to DNA microarray data of yeast cell cycle. The results show that band depth clustering is efficient and robust.","PeriodicalId":415083,"journal":{"name":"International Conference on Bio-inspired Information and Communications Technologies","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130617749","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}
Pub Date : 2016-05-24DOI: 10.4108/EAI.3-12-2015.2262490
E. Bernitt, Christina Oettmeier, Daniel Henrichs, H. Döbereiner
Here we describe an integrated system for biological experiments on dynamic processes on the millimeter length scale. The system permits live imaging under controlled environmental conditions using low-cost technology that is easy to implement. This work was presented at PhysNet 2015.
{"title":"A Low-Cost Bio-Imaging and Incubation System","authors":"E. Bernitt, Christina Oettmeier, Daniel Henrichs, H. Döbereiner","doi":"10.4108/EAI.3-12-2015.2262490","DOIUrl":"https://doi.org/10.4108/EAI.3-12-2015.2262490","url":null,"abstract":"Here we describe an integrated system for biological experiments \u0000 \u0000on dynamic processes on the millimeter length scale. \u0000 \u0000The system permits live imaging under controlled environmental \u0000 \u0000conditions using low-cost technology that is easy to \u0000 \u0000implement. This work was presented at PhysNet 2015.","PeriodicalId":415083,"journal":{"name":"International Conference on Bio-inspired Information and Communications Technologies","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127779797","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}
Pub Date : 2016-05-24DOI: 10.4108/EAI.3-12-2015.2262448
Georg Layher, T. Brosch, H. Neumann
The mammalian cortex is organized into different layers which are characterized by different cell clusterings and prominent lateral fiber connections. As a primary organizational principle driving signal inputs enter mainly at layer IV, feedforward output activations leave at superficial, while modulating feedback signals leave at deep layers. Likewise, modulatory input signals from other areas mainly enter in superficial layers. Based on such compartmental structure we suggest an abstract formulation of composite structural elements which form building blocks to define canonical elements for columnar computation in cortex. There is evidence that the brain makes use of an operational set of canonical computations, like, e.g., sensory signal filtering, reentrant response gain enhancement, noise suppression, and normalization. As a further abstraction, we define a dynamical three-stage model of processing in a cortical column for processing that allows to investigate their dynamic response properties. Some examples of the analysis of the dynamics are presented together with some simulation results that highlight properties of visual processing in model cortices. Finally, we demonstrate how learning mechanisms that adapt the connection weights can be incorporated in such a scheme capable to form feature representations and functional sub-networks in an adaptive fashion.
{"title":"Towards a mesoscopic-level canonical circuit definition for visual cortical processing","authors":"Georg Layher, T. Brosch, H. Neumann","doi":"10.4108/EAI.3-12-2015.2262448","DOIUrl":"https://doi.org/10.4108/EAI.3-12-2015.2262448","url":null,"abstract":"The mammalian cortex is organized into different layers which are characterized by different cell clusterings and prominent lateral fiber connections. As a primary organizational principle driving signal inputs enter mainly at layer IV, feedforward output activations leave at superficial, while modulating feedback signals leave at deep layers. Likewise, modulatory input signals from other areas mainly enter in superficial layers. Based on such compartmental structure we suggest an abstract formulation of composite structural elements which form building blocks to define canonical elements for columnar computation in cortex. There is evidence that the brain makes use of an operational set of canonical computations, like, e.g., sensory signal filtering, reentrant response gain enhancement, noise suppression, and normalization. As a further abstraction, we define a dynamical three-stage model of processing in a cortical column for processing that allows to investigate their dynamic response properties. Some examples of the analysis of the dynamics are presented together with some simulation results that highlight properties of visual processing in model cortices. Finally, we demonstrate how learning mechanisms that adapt the connection weights can be incorporated in such a scheme capable to form feature representations and functional sub-networks in an adaptive fashion.","PeriodicalId":415083,"journal":{"name":"International Conference on Bio-inspired Information and Communications Technologies","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128432483","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}
Pub Date : 2016-05-24DOI: 10.4108/EAI.3-12-2015.2262478
T. Shirakawa, Hiroshi Sato, Ryota Ohno
{"title":"Analysis on the exploratory behavior of the Physarum plasmodium in an open space","authors":"T. Shirakawa, Hiroshi Sato, Ryota Ohno","doi":"10.4108/EAI.3-12-2015.2262478","DOIUrl":"https://doi.org/10.4108/EAI.3-12-2015.2262478","url":null,"abstract":"","PeriodicalId":415083,"journal":{"name":"International Conference on Bio-inspired Information and Communications Technologies","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117107974","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}
Pub Date : 2016-05-24DOI: 10.4108/EAI.3-12-2015.2262481
Jonghyun Lee, Christina Oettmeier, H. Döbereiner
We describe a new growth pattern where globular moving fragments are formed instead of networks.
我们描述了一种新的增长模式，其中球状移动碎片形成，而不是网络。
{"title":"Growth pattern of Physarum polycephalum during starvation","authors":"Jonghyun Lee, Christina Oettmeier, H. Döbereiner","doi":"10.4108/EAI.3-12-2015.2262481","DOIUrl":"https://doi.org/10.4108/EAI.3-12-2015.2262481","url":null,"abstract":"We describe a new growth pattern where \u0000 \u0000globular moving fragments are formed instead of networks.","PeriodicalId":415083,"journal":{"name":"International Conference on Bio-inspired Information and Communications Technologies","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123834346","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}
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