{"title":"Chromatic aberration correction in RAW domain for image quality enhancement in image sensor processors","authors":"A. Lluis-Gomez, E. Edirisinghe","doi":"10.1109/ICCP.2012.6356192","DOIUrl":"https://doi.org/10.1109/ICCP.2012.6356192","url":null,"abstract":"Taking sharp and high-resolution images usually relies on high quality camera systems. In this paper, we present an approach to correct chromatic aberrations distortions on images caused by imperfect optics. The proposed system relies on a calibration step where the distortion produced by the lens is estimated, followed by a second stage where the image is enhanced. The proposed system works in RAW domain as a pre-processing process to facilitate the demosaicing, and noise reduction process in an image sensor processor (ISP). The results of the proposed method prove that both the lateral and the longitudinal aberrations can be corrected, is computational efficient and also facilitates the functioning of an ISP pipeline producing sharper and less noisy images.","PeriodicalId":406461,"journal":{"name":"2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114238579","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":"Genetic approach for real-time scheduling on multiprocessor systems","authors":"G. Sebestyen, A. Hangan","doi":"10.1109/ICCP.2012.6356198","DOIUrl":"https://doi.org/10.1109/ICCP.2012.6356198","url":null,"abstract":"Real-time scheduling of concurrent tasks on multiprocessor systems is a complex job, which implies finding a feasible solution in a multi-dimensional space. In order to reduce the search time we propose a genetic approach for two important aspects of the scheduling problem: task allocation and deadline assignment. We combine a genetic search engine with a simulation tool in order to find a scheduling strategy that assures the fulfillment of all time restrictions. Our system model includes a wide range of multiprocessor systems, from parallel systems to network-based distributed ones and from independent task sets to chains of tasks organized as concurrent transactions. The paper gives details regarding the adaptation of genetic operators for the scheduling problem.","PeriodicalId":406461,"journal":{"name":"2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114404516","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}
G. Copil, D. Moldovan, I. Salomie, T. Cioara, I. Anghel, D. Borza
{"title":"Cloud SLA negotiation for energy saving — A particle swarm optimization approach","authors":"G. Copil, D. Moldovan, I. Salomie, T. Cioara, I. Anghel, D. Borza","doi":"10.1109/ICCP.2012.6356201","DOIUrl":"https://doi.org/10.1109/ICCP.2012.6356201","url":null,"abstract":"The necessity of balancing the obtained performance with the energy consumed is an emerging ambition for cloud computing research. Performance in cloud computing is defined through Service Level Agreement contracts between the cloud provider and cloud customer, being a projection of the customer's perspective on the service offered by the cloud provider. Although more and more research efforts go into standardizing Service Level Agreement in cloud systems, the area is still at its early ages. This paper proposes a Service Level Agreement negotiation protocol based on particle swarm optimization techniques, for obtaining a balance between the energy consumed and performance offered in the cloud. The two parties of the defined negotiation protocol are the performance-oriented cloud customer and the energy-oriented cloud provider. The agreement resulted from the negotiation process satisfies the two major negotiation properties we aim for: closeness to Pareto optimality and high social welfare.","PeriodicalId":406461,"journal":{"name":"2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123936103","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":"Individualized service selection with ontologies and rules","authors":"I. A. Letia, O. Pop","doi":"10.1109/ICCP.2012.6356155","DOIUrl":"https://doi.org/10.1109/ICCP.2012.6356155","url":null,"abstract":"An extension of the HTN-DL web service model is presented, including rules for web service behavior and compliance validation against customer requests. The intention is to overcome the limitations of HTN-DL and OWL-S in covering business constraints in service selection and also the limitation of preconditions. The proposed approach validates a web service obtained through HTN-DL planning, for compliance to customer constraints. A proof of concept implementation shows the workings of our conceptualization.","PeriodicalId":406461,"journal":{"name":"2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124378725","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":"Firefly-based business process optimization","authors":"I. Salomie, V. Chifu, C. Pop, R. Suciu","doi":"10.1109/ICCP.2012.6356160","DOIUrl":"https://doi.org/10.1109/ICCP.2012.6356160","url":null,"abstract":"This paper presents a firefly-based method for business process optimization. Each artificial firefly has a candidate business process associated which is modeled as a causal matrix. The evolution of a candidate business process is achieved using genetic operators which aim to perform structural and resource allocation modifications. To establish whether a candidate business process is optimal, the cost and the execution time of the process are evaluated using a penalty-based fitness function. The firefly-based method has been evaluated on a set of generic scenarios and its performance has been analyzed using the fitness graph evolutionary measure.","PeriodicalId":406461,"journal":{"name":"2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128836783","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":"Towards an accurate topological localization using a Bag-of-SIFT-visual-Words model","authors":"Emanuela Boros","doi":"10.1109/ICCP.2012.6356175","DOIUrl":"https://doi.org/10.1109/ICCP.2012.6356175","url":null,"abstract":"Topological localization is a problem in mobile robotics that implies the ability of an agent to self locate in an environment. In this paper, we approach the task of topological localization without using a temporal continuity of the images of the places the robot has been. The environment is represented by an office under different illumination settings acquired with a perspective camera mounted on a robot platform. We create visual vocabularies based on invariant local features and different distance-based K-means clustering. The experimental setup is performed with an One-versus-All classifier with different kernel functions that achieved success.","PeriodicalId":406461,"journal":{"name":"2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133154117","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}
Lehel Biro, V. Bâcu, D. Rodila, Laszlo Barabas, D. Gorgan
{"title":"Grid to cloud migration of scientific applications, using dynamically created cloud clusters","authors":"Lehel Biro, V. Bâcu, D. Rodila, Laszlo Barabas, D. Gorgan","doi":"10.1109/ICCP.2012.6356210","DOIUrl":"https://doi.org/10.1109/ICCP.2012.6356210","url":null,"abstract":"The paper presents an experimental study on the migration of scientific applications from Grid to Cloud Cluster infrastructure. The research aims to highlight the main conceptual, technical, and technological issues of such a process by exploring solutions for distributed processing, execution and management of a complex task, increased data management, and gathering of processed data. As a case study, the Grid based gSWAT application is used, supporting the SWAT hydrological model calibration over the Grid infrastructure. The main challenge of the research is the mapping of the gSWAT platform and data model onto the services and resources provided by the infrastructure, platform, and software Cloud levels. The Cloud related experiments are based on the OpenNebula and Hadoop technologies.","PeriodicalId":406461,"journal":{"name":"2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133166819","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}
B. Nakhjavanlo, M. E. Gharehveran, Maryam Hajiesmaeili, T. Ellis, J. Dehmeshki
{"title":"A deformable model based on level sets for image segmentation","authors":"B. Nakhjavanlo, M. E. Gharehveran, Maryam Hajiesmaeili, T. Ellis, J. Dehmeshki","doi":"10.1109/ICCP.2012.6356184","DOIUrl":"https://doi.org/10.1109/ICCP.2012.6356184","url":null,"abstract":"This paper presents a new level set-based image segmentation method. First, a Gabor filter is used to suppress of noise in the extracted regions of interest and guide the motion of the evolving contour detection. Second, Green's theorem is used to develop a region-based energy function, combined with diffusion-based smoothing, to separate low contrast regions. Results are presented for it's application to a variety of real and synthetic images, particularly those exhibiting texture properties. The results indicate the method is more effective than traditional region-based level set methods in coping with intensity inhomogeneities, noisy and textured images.","PeriodicalId":406461,"journal":{"name":"2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133807136","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}
Shangqing Zhang, D. Zhu, Yinglin Wang, Jun Shi, Ruixin Zhang
{"title":"Recognizing Textual Entailment with synthetic analysis based on SVM and feature value control","authors":"Shangqing Zhang, D. Zhu, Yinglin Wang, Jun Shi, Ruixin Zhang","doi":"10.1109/ICSESS.2012.6269566","DOIUrl":"https://doi.org/10.1109/ICSESS.2012.6269566","url":null,"abstract":"Recognizing Textual Entailment, as one of the branches of Nature Language Processing, has been widely used in Human Computer Interaction, Question Answering System, etc. RTE is trying to build an intelligent system which can analyze the content of an input text (T), and then raises a hypothesis (H) based on that. My self-design RTE system which is called SNRTE combines lexical, syntax, and semantic 3 levels of analysis, under the support of Stemmer, Tokenizer, Parser, POS Tag, Name Finder, WordNet2.1, and Support Vector Machine, etc. All these modules fetch useful information elements in the target text to define 49 feature values, which finally adopted into SVM to make judgments. The training data is taken from RTE official contest including 1600 pairs of test and hypothesis P(T, H). The average correct judgment rates are 67.5%, far above the average system correctness in RTE1 contest (55.12%) and better than the 2nd system (60.6%).","PeriodicalId":406461,"journal":{"name":"2012 IEEE 8th International Conference on Intelligent Computer Communication and Processing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126849093","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}