M. A. Hassan, I. Pardiansyah, A. Malik, I. Faye, Waqas Rasheed
{"title":"Enhanced people counting system based head-shoulder detection in dense crowd scenario","authors":"M. A. Hassan, I. Pardiansyah, A. Malik, I. Faye, Waqas Rasheed","doi":"10.1109/ICIAS.2016.7824053","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824053","url":null,"abstract":"Counting precisely the number of people in a crowd is one of the most attractive issues for video analytics application. In this paper, an integrated method using Histogram of Oriented Gradient (HOG) and Completed Local Binary Pattern (CLBP) is proposed to detect a head-shoulder region of people within image or video sequence. Head-shoulder region is used as features to detect people against the false positive and false negative issue. HOG and CLBP are used to extract the edge contour and texture features of head-shoulder region, respectively. The two features are fused together to generate a combined feature vector. Support Vector Machine (SVM) is used to execute classification of the fusion features to classify people from a mixture of objects. The results show that the detection rate of the proposed method HOG-CLBP, on Recall value and Accuracy, achieves better performance compared to the current method for dense crowd scenario.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"30 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121001404","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}
Nazabat Hussain, M. N. Karsiti, V. Jeoti, N. Yahya, N. Yahya
{"title":"2D controlled source electromagnetic modeling in layered medium using hybrid method","authors":"Nazabat Hussain, M. N. Karsiti, V. Jeoti, N. Yahya, N. Yahya","doi":"10.1109/ICIAS.2016.7824102","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824102","url":null,"abstract":"This paper presents a hybrid numerical solution of field governing equations of electromagnetic (EM) geophysical method. The proposed method take advantage of implementation simplicity of finite difference (FD) method and the advantage of multiscale resolution of wavelet transform. For evaluation of the proposed method, 2D hypothetical geoelectrical layered-model with simple anisotropy regions are assumed for geophysical modeling. The FD method employed staggered grid scheme, which gives electric field responses on uniform rectangular meshes. Results generated from FD methods give coarse solution of electric field responses. To further refined the electric field value, wavelet expansion is used which produce a better solution that indicates the presence of thin or thick hydrocarbon in the model.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127163735","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":"Implementation of a single-stage LED driver using resonant controller","authors":"Nurul Asikin Zawawi, S. Iqbal, M. Jamil","doi":"10.1109/ICIAS.2016.7824136","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824136","url":null,"abstract":"This paper proposes the implementation of a singlestage AC-DC converter using a high voltage resonant controller IC L6598 for driving a street lighting system. The converter is formed by integrating two boost circuits and a half-bridge type LLC resonant circuit. Both boost circuits work in boundary conduction mode (BCM) satisfying the natural function of power factor correction (PFC) of the converter. The soft-switching characteristics of LLC resonant circuit assures the primary side switches to work in zero-voltage-switching (ZVS) mode and the secondary side diodes to work in zero-current-switching (ZCS) mode. This significantly reduces the switching losses and indeed improves the system efficiency. The input voltage is divided by two capacitors resulting in low bus voltage which is allowing the converter to perform well under high-input-voltage. Simulation and experimental results obtained from a 100-W, 240-V AC input laboratory prototype are presented. The result demonstrate that the power factor (PF) of the converter is higher than 0.95, the total harmonics distortion (THD) is lower than 20.5%, and the efficiency is 92.6% at full load.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117027139","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}
Abdulrahman E. Alsaggaf, M. Moinuddin, A. Hassan, Saud S. Aloud, Ahmed S Alsaleh, S. Rafia, Meshari Alosaimi, M. Sharawi
{"title":"Comparison between diverse algorithms for GPR applications","authors":"Abdulrahman E. Alsaggaf, M. Moinuddin, A. Hassan, Saud S. Aloud, Ahmed S Alsaleh, S. Rafia, Meshari Alosaimi, M. Sharawi","doi":"10.1109/ICIAS.2016.7824123","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824123","url":null,"abstract":"A ground penetrating radar (GPR) system for detecting the location of buried objects has many civilian and military applications. A stepped frequency continuous wave (SFCW) ultrawide band (UWB) GPR is implemented with different signal processing algorithms. Three algorithms are compared in terms of complexity and accuracy in locating the position of buried objects under the sand. The algorithms are delay-sum beamforming, inverse Fourier transform and Green's function. We used two UWB antennas; AUP8-2P4 antenna, with operational frequency covering from 0.6 to 1.1 GHz, in addition to AU1-4P5 antenna with operational frequency covering from 3.6 to 4 GHz to compare their effect on the resolution based on experimented results for small and large metallic objects.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131371","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":"Dye solar cell design parameter optimization using Silvaco ATHENA and ATLAS","authors":"U. Y. Oktiawati, N. M. Mohamed, Z. A. Burhanudin","doi":"10.1109/ICIAS.2016.7824055","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824055","url":null,"abstract":"Dye Solar Cell (DSC) is one of the third generation solar cell. It uses nontoxic material and relatively easy to fabricate. However, its conversion efficiency still needs to be improved. In this paper, DSC is simulated using Silvaco ATHENA and ATLAS. Parameters such as TiO2 layer thickness and electrolyte concentration are investigated. Effect of TiO2 morphology and additional TiO2 passivation layer are also studied. Properties of the parameters are extracted from literatures as the input for the simulation. Validation with published experimental works by other group is also performed. Results showed that by optimizing TiO2 thickness, TiO2 composite, electrolyte concentration and TiO2 passivation layer, DSC conversion efficiency can be improved up to 4.592%.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115284057","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}
S. Suman, F. Hussin, N. Walter, A. Malik, I. Hilmi
{"title":"Automatic detection and removal of bubble frames from wireless capsule endoscopy video sequences","authors":"S. Suman, F. Hussin, N. Walter, A. Malik, I. Hilmi","doi":"10.1109/ICIAS.2016.7824091","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824091","url":null,"abstract":"Wireless Capsule Endoscopy (WCE) is a new challenging clinical technique to obtain a detailed video of complete gastrointestinal tract (GIT). The major disadvantage of this technique is that it generates a huge number of frames which is difficult to diagnose for clinicians. In this particular paper, we propose a method to reduce the time of visualisation by removing frames which have redundant information of targeted disease. There are several types of redundant frames which can be categorised as informative and non-informative frames. The key method of the proposed strategy is to define dynamic threshold for intensity and hue in HSV or HSI colour space using the chosen ratio of training and testing data sets. Canny Edge Detector is used to find edges and Water segmentation method is used for segmentation. We acquire training and testing dataset from various WCE video segments to do this pilot research. An experimental result shows that the proposed method achieves very promising performance for detection.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116267206","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}
M. A. Jatoi, N. Kamel, J. López, I. Faye, A. Malik
{"title":"MSP based source localization using EEG signals","authors":"M. A. Jatoi, N. Kamel, J. López, I. Faye, A. Malik","doi":"10.1109/ICIAS.2016.7824074","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824074","url":null,"abstract":"The localization of brain sources due to which neural signals are generated is known as brain source localization. These signals are measured by various neuroimaging techniques such as MRI, EEG, PET and MEG. Nevertheless, when the neuroimaging technique is EEG, then it is specifically termed as EEG source localization. This problem is also referred to as EEG inverse problem. This problem is defined by forward problem and inverse problem. Because of ill-posed nature of EEG inverse problem, there exists uncertainty in the solution. This uncertainty in the solution can be reduced by imparting prior information within a Bayesian framework. Hence, Bayesian technique provides some assumptions related to prior information to quantify the solutions. This involves the information of cortical manifold to construct the set of possible regions where the neural activity occurs. This research work discusses and implements the source reconstruction for real time EEG dataset for Bayesian technique (multiple sparse priors (MSP)), classical LORETA and minimum norm techniques. The results are compared in terms of negative variational free energy, intensity level and computational complexity and it is shown that MSP has highest free energy and intensity level as compared to classical methods.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127391360","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":"Machine learning approach for classifying the cognitive states of the human brain with functional magnetic resonance imaging (fMRI)","authors":"Rana Fayyaz Ahmad, A. Malik, N. Kamel, F. Reza","doi":"10.1109/ICIAS.2016.7824133","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824133","url":null,"abstract":"Cognitive state classification is a challenging task. Many studies were reported using different neuroimaging modalities for classification of the cognitive states of the human brain e.g., EEG, fMRI, MEG etc. However, functional MRI seems to be appropriate for these papers as due to its good spatial resolution and localizing the brain activated regions. In this paper, our objective is to identify the different cognitive brain states. For example, classifying the patterns of high and low cognitive loads. We acquired the fMRI data on the healthy participants. First, data is preprocessed to remove the artifacts and motions corrections. Next, regions of interest were extracted from functional brain volumes of the two states. Data reduction is also performed and data were passed to machine learning classifier i.e., support vector machine. The results showed that high and low cognitive loads were successfully classified with good accuracy.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125576696","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}
N. I. S. Riman, M. Abdullah, M. Romlie, Z. Baharudin
{"title":"The third harmonic current contribution during three-phase to ground fault","authors":"N. I. S. Riman, M. Abdullah, M. Romlie, Z. Baharudin","doi":"10.1109/ICIAS.2016.7824119","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824119","url":null,"abstract":"In recent times, the Gas District Cooling (GDC) plant in Universiti Teknologi PETRONAS (UTP) has suffered faults throughout the power system network due to many reasons. It was reported that third harmonic component exists in its fault current. Synchronous generator is one of the triplen harmonic sources and third harmonic is the major component. Therefore, this paper intends to study the contribution of third harmonic produced by synchronous generator during three-phase to ground fault. Lab scale experiments are conducted to investigate the contribution of third harmonic towards overall fault current. The third harmonic current during normal operation is first measured and considered as base data. Then, third harmonic current during three-phase to ground fault is measured and compared with the base data. During three-phase to ground fault, the load impedance is removed from the circuit and the line is connected directly to the ground. It is found out that the contribution of third harmonic during three-phase to ground fault is significantly high compared to normal operation. The third harmonic fault current depends on effective zero sequence impedance of the circuit. During the fault, the effective zero sequence impedance of the circuit reduces and inversely the third harmonic current increases greatly.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"33 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125880439","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":"Investigation of capacitance dependence on droplet volume in MEDA based biochips","authors":"V. Shukla, F. Hussin, N. H. Hamid, N. Ali","doi":"10.1109/ICIAS.2016.7824089","DOIUrl":"https://doi.org/10.1109/ICIAS.2016.7824089","url":null,"abstract":"Digital microfluidics biochips has led to the revolution of modern day clinical diagnostics procedures. These biochips enable the use of nano-liter volume of samples and reagents. A more recent architecture of digital microfluidics known as Micro-electrode Dot Array (MEDA) has been introduced which incorporate some advance operations like diagonal movement and channel based routing. Owing to this new architecture, there exist some defects which require additional testing techniques. The defect in these biochips is studied by analyzing the capacitance changes at the sensing circuit. An investigation of capacitance of droplet based on the volume variation is done. The motivation behind this study is to see the variation of capacitance due to the defects in the biochips which can occur due to the volume variation of the droplet in MEDA based biochips. It is seen that the capacitance of droplet varies linearly with droplet volume which leads to the conclusion that defects due to the volume variation directly affects the capacitance at the sensing circuit.","PeriodicalId":247287,"journal":{"name":"2016 6th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131833929","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}