2012 UKSim 14th International Conference on Computer Modelling and Simulation最新文献_第3页

Image Query Based Search Engine Using Image Content Retrieval 基于图像内容检索的图像查询搜索引擎

2012 UKSim 14th International Conference on Computer Modelling and Simulation Pub Date : 2012-03-28 DOI: 10.1109/UKSim.2012.48

Divya Venkata Ragatha, Divakar Yadav

引用次数: 6

User Perception of the Physical & Behavioral Realism of a Maritime Virtual Reality Environment 用户感知海洋虚拟现实环境的物理和行为现实性

2012 UKSim 14th International Conference on Computer Modelling and Simulation Pub Date : 2012-03-28 DOI: 10.1109/UKSim.2012.32

D. Sandaruwan, N. Kodikara, C. Keppitiyagama, R. Rosa, M. Jayawardena, P. Samarasinghe

引用次数: 9

Applying SAQ-Learning Algorithm for Trading Agents in Bilateral Bargaining 交易主体在双边议价中的应用

2012 UKSim 14th International Conference on Computer Modelling and Simulation Pub Date : 2012-03-28 DOI: 10.1109/UKSim.2012.39

S. Jamali, K. Faez

引用次数: 1

Identification of Cardiac Ischemia Using Spectral Domain Analysis of Electrocardiogram 利用心电图谱域分析识别心脏缺血

2012 UKSim 14th International Conference on Computer Modelling and Simulation Pub Date : 2012-03-28 DOI: 10.1109/UKSim.2012.22

R. Valupadasu, B. R. Chunduri

{"title":"Identification of Cardiac Ischemia Using Spectral Domain Analysis of Electrocardiogram","authors":"R. Valupadasu, B. R. Chunduri","doi":"10.1109/UKSim.2012.22","DOIUrl":"https://doi.org/10.1109/UKSim.2012.22","url":null,"abstract":"India has highest incidence of heart related diseases in the world. If no initiative is taken to check the disease the most predictable and preventable among all chronic diseases, India will have 62 million heart patients by 2015. Myocardial ischemia (also known as angina) is a heart condition caused by a temporary lack of oxygen-rich blood to the heart. Cardiac ischemia (CI) is a heart disease that covers heart issues caused by narrowing of the arteries which makes less oxygenated blood to reach the heart muscle. This may lead to heart attack with no prior warning. This paper introduces the work that has been done to distinguish the Electrocardiogram (ECG) of a normal healthy human from that of an ischemia patient. Fast Fourier Transform (FFT) on ECG Signal was used to extract information and providing the basis with which a signal suggesting predisposition of the patient who suffers from Cardiac ischemia. The main aim is to design algorithm that enable the doctors to diagnose cardiac ischemia on the basis of spectral analysis of an ECG signal. 4 min. of ECG of any patient is enough to detect possibility of ischemia. Normal Sinus Rhythm Data is obtained from MIT-BIH NSR Database. Ischemia data is obtained from European ST-T Database. The data is taken for duration of 1 hour. The algorithm was tested on MIT-BIH database and European ST-T Database and the verification of results using MATLAB is done. This concept can be utilized to analyze ECG signals to identify other heart diseases.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"27 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":"124150076","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}

引用次数: 1

A Large Scale Digital Simulation of Spiking Neural Networks (SNN) on Fast SystemC Simulator 基于Fast SystemC模拟器的脉冲神经网络(SNN)大规模数字仿真

2012 UKSim 14th International Conference on Computer Modelling and Simulation Pub Date : 2012-03-28 DOI: 10.1109/UKSIM.2012.105

H. Soleimani, A. Ahmadi, Mohammad Bavandpour, A. Amirsoleimani, Mark Zwolinski

引用次数: 1

Path Loss Effect on Energy Consumption in a WSN 路径损耗对无线传感器网络能耗的影响

2012 UKSim 14th International Conference on Computer Modelling and Simulation Pub Date : 2012-03-28 DOI: 10.1109/UKSim.2012.87

Krishna Doddapaneni, E. Ever, O. Gemikonakli, I. Malavolta, L. Mostarda, H. Muccini

{"title":"Path Loss Effect on Energy Consumption in a WSN","authors":"Krishna Doddapaneni, E. Ever, O. Gemikonakli, I. Malavolta, L. Mostarda, H. Muccini","doi":"10.1109/UKSim.2012.87","DOIUrl":"https://doi.org/10.1109/UKSim.2012.87","url":null,"abstract":"Energy consumption of nodes is a crucial factor that constrains the networks life time for Wireless Sensor Networks (WSNs). WSNs are composed of small sensors equipped with low-power devices, and have limited battery power supply. The main concern in existing architectural and optimisation studies is to prolong the network lifetime. The lifetime of the sensor nodes is affected by different components such as the microprocessor, the sensing module and the wireless transmitter/receiver. The existing works mainly consider these components to decide on best deployment, topology, protocols and so on. Recent studies have also considered the monitoring and evaluation of the path loss caused by environmental factors. Path loss is always considered in isolation from the higher layers such as application and network. It is necessary to combine path loss computations used in physical layer, with information from upper layers such as application layer for a more realistic evaluation. In this paper, a simulation-based study is presented that uses path-loss model and application layer information in order to predict the network lifetime. Physical environment is considered as well. We show that when path-loss is introduced, increasing the transmission power is needed to reduce the amount of packets lost. This presents a tradeoff between the residual energy and the successful transmission rate when more realistic settings are employed for simulation. It is a challenging task to optimise the transmission power of WSNs, in presence of path loss, because although increasing the transmission power reduces the residual energy, it also reduces the number of retransmissions required.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"2 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":"128570246","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}

引用次数: 19

A Novel Algorithm for Linear Programming 一种新的线性规划算法

2012 UKSim 14th International Conference on Computer Modelling and Simulation Pub Date : 2012-03-28 DOI: 10.1109/UKSim.2012.54

K. Eswaran

引用次数: 0

Comparison of Different Artificial Neural Networks for Brain Tumour Classification via Magnetic Resonance Images 不同人工神经网络对脑肿瘤磁共振图像分类的比较

2012 UKSim 14th International Conference on Computer Modelling and Simulation Pub Date : 2012-03-28 DOI: 10.1109/UKSim.2012.13

Yawar Rehman, C. F. Azim

引用次数: 7

Formant Analysis and Mathematical Model of Kazakh Vowels 哈萨克语元音的构象分析与数学模型

2012 UKSim 14th International Conference on Computer Modelling and Simulation Pub Date : 2012-03-28 DOI: 10.1109/UKSim.2012.66

Zhandos Yessenbayev, Muslima Karabalayeva, A. Sharipbayev

引用次数: 12

Improving Settling and Rise Times of Controllers via Intelligent Algorithms 通过智能算法改善控制器的沉降和上升时间

2012 UKSim 14th International Conference on Computer Modelling and Simulation Pub Date : 2012-03-28 DOI: 10.1109/UKSim.2012.34

D. Pelusi

{"title":"Improving Settling and Rise Times of Controllers via Intelligent Algorithms","authors":"D. Pelusi","doi":"10.1109/UKSim.2012.34","DOIUrl":"https://doi.org/10.1109/UKSim.2012.34","url":null,"abstract":"Generally, conventional controllers are characterized by too longs settling and rise times. In order to solve this problem, suitable fuzzy logic controllers have been designed. However, some intelligent techniques can be added during the controllers designing phase. In the literature, the employed methods are Genetic Algorithms and Neural Networks. The first ones are good search methods whereas the others ones have the capability to learn from data. In this paper, an optimized genetic-neuro-fuzzy controller is proposed. This controller works in according with a real-time optimization algorithm which optimally combines the features of Fuzzy Logic, Genetic Algorithms and Neural Networks. The genetic procedures search the optimal membership functions whereas the neural methods optimize the fuzzy rules. The target is to reduce the settling time and rise time with overshoot equal to zero. The novelty of this approach is that the optimization procedures occur at the same time and not separately. The results show that the settling time and the rise time are reduced by comparing them with the same quantities of optimized PD and PID controllers. Moreover, the designed controller improves the timing performance of conventional and intelligent controllers.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"26 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":"131803802","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}

引用次数: 24