{"title":"Enhancement of the Low Contrast Image Using Fuzzy Set Theory","authors":"K. Hasikin, N. Isa","doi":"10.1109/UKSim.2012.60","DOIUrl":"https://doi.org/10.1109/UKSim.2012.60","url":null,"abstract":"This paper presents a fuzzy grayscale enhancement technique for low contrast image. The degradation of the low contrast image is mainly caused by the inadequate lighting during image capturing and thus eventually resulted in nonuniform illumination in the image. Most of the developed contrast enhancement techniques improved image quality without considering the nonuniform lighting in the image. The fuzzy grayscale image enhancement technique is proposed by maximizing fuzzy measures contained in the image. The membership function is then modified to enhance the image by using power-law transformation and saturation operator. The qualitative and quantitative performances of the proposed method are compared with the other methods. The proposed method produced better quality enhanced image and required minimum processing time than the other methods.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130832207","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}
Chan-Soo Lee, Jung-Woong Park, Hyung-Gyoo Lee, Nam-Soo Kim, Haikun Jin
{"title":"Latch-Controlled Current Cell for Low Power Current-Steering D/A Converter","authors":"Chan-Soo Lee, Jung-Woong Park, Hyung-Gyoo Lee, Nam-Soo Kim, Haikun Jin","doi":"10.1109/UKSim.2012.100","DOIUrl":"https://doi.org/10.1109/UKSim.2012.100","url":null,"abstract":"This paper introduces the design and implementation of a novel current cell in current-steering digital-to-analog converter (DAC). The current cell consists of current switch and source which are independently controlled by latch. A sequential switch-on process similar to thermometer decoding is implemented in source to reduce the power consumption. A 12-b DAC has been fabricated using a single-poly four-metal 0.35 μm CMOS process. Comparison with conventional DAC shows that the proposed DAC produces a power reduction in the order of 35% without degradation of linearity.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128910210","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":"Frequency Survey Simulation for Developing Novel Radio Frequency Energy Harvesting Model","authors":"H. Elanzeery, R. Guindi","doi":"10.1109/UKSim.2012.71","DOIUrl":"https://doi.org/10.1109/UKSim.2012.71","url":null,"abstract":"Renewable Energy sources are the center of attraction for research and development all over the world nowadays, the demand of a lasting cheap source of energy that is environmental friendly, is the main challenge recently. Energy Harvesting is a new technology that is going to make a revolution in the coming decade. Energy Harvesting is a technique to provide alternative sources of energy that are environmental friendly and low in cost. Radio Frequency Energy Harvesting is one of the methods to provide electrical energy from the ambient Radio Frequency waves that already exists in the environment. Radio Frequency Energy Harvesting can provide a world with battery less devices. With Radio Frequency (RF) Energy Harvesting, the true mobility can be achieved where mobile devices do not depend on centralized power sources for charging, instead they make use of the existing energy in the environment. This paper presents a simulation survey on different frequencies and the effect of these frequencies on the output power efficiency. The simulation results provide an optimum novel relationship between the frequency used and the size of the circuit for a radio frequency energy harvesting model with optimum output efficiency.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115577947","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":"Inherent Inter-vehicle Signaling Using Radio Frequency and Infra-red Communication","authors":"Ahmedullah Aziz, M. S. Hossain","doi":"10.1109/UKSim.2012.38","DOIUrl":"https://doi.org/10.1109/UKSim.2012.38","url":null,"abstract":"This paper suggests two alternative schemes to avoid the use of hydraulic and pneumatic horns responsible for severe sound pollution. Cost effective signaling systems using radio frequency (RF) and infra-red (IR) have been developed and working circuitry has been implemented to replace the conventional horns. The greater impact of these signaling schemes on the environment has been discussed-especially in case of reducing sound pollution. Use of global positioning system (GPS) and cellular data network has been avoided intentionally to ensure simplicity, cost-effectiveness and independent operation. Special emphasis has been put to ensure compatibility with any types of vehicles and thereby avoid factory level modification. These systems are successfully tested by establishing communication between two cars. IR communication has been found faster and more reliable at smaller distance than the RF communication. Both of these communication systems can be means of cost-effective reduction of sound pollution.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114900623","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":"Ant Colony Optimization for Rule Induction with Simulated Annealing for Terms Selection","authors":"R. Saian, K. Ku-Mahamud","doi":"10.1109/UKSim.2012.115","DOIUrl":"https://doi.org/10.1109/UKSim.2012.115","url":null,"abstract":"This paper proposes a sequential covering based algorithm that uses an ant colony optimization algorithm to directly extract classification rules from the data set. The proposed algorithm uses a Simulated Annealing algorithm to optimize terms selection, while growing a rule. The proposed algorithm minimizes the problem of a low quality discovered rule by an ant in a colony, where the rule discovered by an ant is not the best quality rule, by optimizing the terms selection in rule construction. Seventeen data sets which consist of discrete and continuous data from a UCI repository are used to evaluate the performance of the proposed algorithm. Promising results are obtained when compared to the Ant-Miner algorithm and PART algorithm in terms of average predictive accuracy of the discovered classification rules.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116852795","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":"Feel3D: Free Viewpoint Video Recording Mechanism for Premeditated Scenarios, Using Pre-built Models","authors":"B. N. Wickramasinghe, N. Kodikara","doi":"10.1109/UKSim.2012.31","DOIUrl":"https://doi.org/10.1109/UKSim.2012.31","url":null,"abstract":"Current Free Viewpoint Video making methods depends on real-time video footage to synthesize new views or apply texture on models in the video. This approach faces challenges in producing structurally and textually correct views when video recording conditions change. This project focuses on using pre-built 3D models for FVV making. As opposed to conventional FVV making methods, proposed approach will produce better quality 3D FVV with less processing. Furthermore, the project will introduce a new framework for 3D free viewpoint videos. The 3D FVVs made with the proposed approach will allow efficient storage and frugal bandwidth usage during transmission. Following sections will present about employed motion tracking method, use of 3D models and how all the parts are combined to produce the free viewpoint video. The latter stages will discuss strengths and limitations as well as the effect of this approach on commercial and research interests related to FVVs.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123971694","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":"A Forensic Model for Forecasting Alerts Workload and Patterns of Intrusions","authors":"J. Nehinbe, Johnson Ige Nehibe","doi":"10.1109/UKSim.2012.122","DOIUrl":"https://doi.org/10.1109/UKSim.2012.122","url":null,"abstract":"Concurrent forecasting of alerts workload and reconstruction of computer crimes using historic alerts of intrusion detectors are necessary for extracting admissible evidence in courts of law. Such evidence can be useful for designing efficient countermeasures that will thwart multiple attacks in progress. However, some intruders may take total control of computer networks over time while others may decide to partially compromise certain segments of their targets. Consequently, most intrusion analysts often find it difficult to establish hidden correlations between these two categories of probes and their associated objectives. This paper uses time series analysis to reconstruct workloads using baselines in the range of t1 = 1s to t60 = 60s for each intrusion log. Comparisons of the results obtained across different range of datasets demonstrate that alerts triggered by Snort can be used to reconstruct admissible evidence for litigation purposes. The results also reveal the variability of workloads within predefined intervals and the extent that alerts from different intrusion logs resemble each other.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"34 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126163615","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":"Optimisation of Classifier Ensemble for Predictive Toxicology Applications","authors":"M. Makhtar, Longzhi Yang, D. Neagu, M. Ridley","doi":"10.1109/UKSIM.2012.41","DOIUrl":"https://doi.org/10.1109/UKSIM.2012.41","url":null,"abstract":"Ensembles of classifiers proved potential in getting higher accuracy compared to a single classifier. High diversity in an ensemble may improve the performance results significantly. We propose an ensemble approach which has diversity calculated using disagreement measure of classification output. A CRS (Classifier Ranking System) is introduced for the selection of relevant classifiers. We also propose the Optimisation of Classifiers Ensemble Method (OCEM) technique which applies to the ensemble selection. In this paper, we focus on classification models for predictive toxicology applications, for which computational models are required to replace in vivo experiments. The results show that our method performs well in selecting the relevant ensemble model to improve the prediction from a collection of classifiers.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128543803","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":"Multisensor Data Fusion with Singular Value Decomposition","authors":"S. Koduri","doi":"10.1109/UKSim.2012.65","DOIUrl":"https://doi.org/10.1109/UKSim.2012.65","url":null,"abstract":"The present study aims at multi-sensor data fusion with Singular Value Decomposition (SVD). Earth observations imaging systems collect data at different spatial and radiometric resolutions due to transmission bandwidth and other technical constraints. Fusion of multi-sensor images enables a synergy of complementary information obtained by sensors of different spectral ranges. The study illustrates the excellent potential of Singular Value Decomposition for image fusion with Quick bird panchromatic and multi spectral data. The study brings out that this fusion process outscores conventional techniques used in operational environments and is illustrated with a second example by merging IRS1C panchromatic data with IRSP6 multi spectral data.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127540856","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":"Optimal Method for Migration of Tasks with Duplication","authors":"Rashmi Sharma, Nitin","doi":"10.1109/UKSim.2012.77","DOIUrl":"https://doi.org/10.1109/UKSim.2012.77","url":null,"abstract":"Task Migration concept is used to rise above the overloading problem, with load balancing among nodes of the Distributed System. There are various strategies suggested by many researchers for the task migration. For the advanced organization of tasks, one more strategy with task duplication has been proposed here. We try to minimize the chances of overloading, while devising a task management strategy. The concept in this paper is precautious load balancing before, on or while facing execution overload. A local heuristic for optimal management between migration and duplication of task can lead to better solution of the above said problem. This paper explains some basic calculations to decide the local migration or removal of overloaded task.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"3 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113932096","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}