{"title":"Markov random field classification technique for plant leaf disease detection","authors":"A. Rao, S. B. Kulkarni","doi":"10.1504/IJCAET.2020.10022049","DOIUrl":"https://doi.org/10.1504/IJCAET.2020.10022049","url":null,"abstract":"In recent era of technology, computer vision technique has grown attraction of the researchers. This technique helps to identify and classify the objects according to the application requirement. These techniques are widely used for plant leaf detection and helping to develop an automated process for plant leaf disease detection. A new approach is developed in this work for plant leaf disease detection using Markov random classification technique. MRF-based problem is formulated for disease detection. In the next stage, the general stages of computer vision classification model i.e., pre-processing and feature extraction is applied. For pre-processing, noise removal and image enhancement models are applied and feature extraction is combination of statistical features. Neighborhood pixel modeling and MRF classification models are applied to obtain the classification of input data. Performance of three classification models is compared. Study shows that proposed approach gives robust performance for plant leaf disease detection and classification.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116662470","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":"Event recognition and classification in sports video using HMM","authors":"V. Ellappan, R. Rajkumar","doi":"10.1504/ijcaet.2020.10027368","DOIUrl":"https://doi.org/10.1504/ijcaet.2020.10027368","url":null,"abstract":"Sports event recognition and classification is a challenging task due to the number of possible categories. On one hand, how to characterise legitimate occasion classification names and how to acquire preparing tests for these classes should be investigated; then again, it is non-inconsequential to accomplish acceptable order execution. To address these issues, we propose the use of the spatio-temporal behaviour of an object in the footage as an embodiment of a semantic event. This is accomplished by modelling the evaluation of the position of the object with a hidden Markov model (HMM). Snooker is used as an example for this purpose of research. The system firstly parses the video sequence based on the geometry of the content in the camera view and classifies the footage as a particular view type. Secondly, we consider the relative position of the white ball on the snooker table over the duration of a clip to embody semantic events. The temporal behaviour of the white ball is modelled using a HMM where each model is representative of a particular semantic event.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128248176","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 new and efficient approach for the removal of high density impulse noise in mammogram","authors":"S. Sreedevi, E. Sherly","doi":"10.1504/IJCAET.2020.10018160","DOIUrl":"https://doi.org/10.1504/IJCAET.2020.10018160","url":null,"abstract":"This paper proposes a combined approach for removing impulse noise from digital mammograms which implement a detection followed by filtering mechanism, in which, detection is done using a robust local image statistical measure called modified robust outlyingness ratio (MROR) followed by a filtering framework based on extended nonlocal means (ENLM). All the pixels in the image are grouped into four different clusters based on the value of MROR. The detection system consists of two stages, coarse stage and fine stage. In each stage, different decision rules are adopted to detect the impulse noise in each cluster and to restore the image, the value of the noisy pixels is replaced with the modified median-based value of the corresponding window based on the cluster position. For filtering, the NL-means filter is extended by introducing a reference image. Simulations are carried out on the MIAS database and the performance of the proposed filter has been evaluated quantitatively and qualitatively through experimental analysis and the results are compared with several existing filters such as standard median filter (SMF), adaptive median filter (AMF), robust outlyingness ratio – non local means (ROR-NLM) and modified robust outlyingness ratio – non local means (MROR-NLM).","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"151 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122471954","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":"Feature extraction and classification of COPD chest X-ray images","authors":"P. Bhuvaneswari, A. Therese","doi":"10.1504/IJCAET.2020.10010445","DOIUrl":"https://doi.org/10.1504/IJCAET.2020.10010445","url":null,"abstract":"Chronic obstructive pulmonary disease (COPD) is a group of lung disease like emphysema, chronic bronchitis, asthma and some kinds of bronchiectasis. This group of diseases are expected to be one of the major causes of morbidility and the third case of mortality by 2020. If the disease is identified in the early stage itself the survival rate will be increased. In this paper a novel method is proposed to classify the disease COPD in chest X-ray images. Prior to classification essential features are to be extracted. In this regards, some structural features include number of ribs in the chest X-ray, heart shape, diaphragm shape and distance between ribs of the given X-ray image are extracted by means of various image processing techniques. Based on the above said features the input image is classified as normal or COPD with various classifiers include MLC, LDA, neural network, genetic algorithm. The maximum classification accuracy achieved is 97.9%. This work not only ends up with the classification of COPD images, it also enables the medicos to identify the heart disease cardiomegaly.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134607728","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":"Cursive script identification using Gabor features and SVM classifier","authors":"K. O. M. Aarif, P. Sivakumar","doi":"10.1504/ijcaet.2020.10027369","DOIUrl":"https://doi.org/10.1504/ijcaet.2020.10027369","url":null,"abstract":"Script identification is one of a challenging segment of optical character recognition system for the bilingual or multilingual document image. Significant research work has been noted on script identification in the last two decades which highly concentrated on natural languages like Latin, Chinese, Hindi, French and so forth. Very little efforts are made on script identification of cursive languages like Arabic, Urdu, Pashto, etc. Most of the Urdu ancient literature which is yet to be digitised includes both Urdu and Arabic text. In this paper, we present a script identification of Urdu and Arabic text at word level using Gabor features with suitable orientation and frequencies. The proposed model is trained using support vector machine (SVM) classifier and the results achieved are very promising.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133231240","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":"Improved motion estimation algorithm based on integrity index and its implementation in x265","authors":"V. More, M. Sutaone","doi":"10.1504/ijcaet.2020.10027373","DOIUrl":"https://doi.org/10.1504/ijcaet.2020.10027373","url":null,"abstract":"With the development of fast motion estimation (ME) algorithms towards video compression standard H.264, burden on integer-pel ME is slightly reduced. However the integer-pel ME is becoming computationally complex due to demand of higher and higher resolution videos. On the other hand, there is always trade-off between the speed and performance of these search algorithms. This work improvises the performance of content awareness enabled integer-pel ME algorithm for encoding the fast and slow motion video sequences of high definition (HD) resolution category viz. 1280×720 and 1920×1080. The algorithm proposes a novel notion of 'integrity index' with focus on increasing the PSNR and reducing the bit rate. It is implemented in the frame work of x265 version 1.7 video encoder. Motion independent ME algorithm is analysed quantitatively in terms of parameters based on rate distortion and ME time. The proposed algorithm is found to be performing better on BD-Rate and BD-PSNR parameters for the videos of both resolutions under consideration. Observed increase in motion estimation time is less than four seconds compared to hexagonal search algorithm of ME which is the benchmark in fast ME algorithm.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114944956","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. Bekhiti, Abdelhakim Dahimene, B. Nail, K. Hariche
{"title":"On the order reduction of MIMO large-scale systems using block-roots of matrix polynomials","authors":"B. Bekhiti, Abdelhakim Dahimene, B. Nail, K. Hariche","doi":"10.1504/ijcaet.2020.10026289","DOIUrl":"https://doi.org/10.1504/ijcaet.2020.10026289","url":null,"abstract":"The present paper deals with the problem of approximating linear time invariant MIMO large-scale systems with reduced order system via the help of the so called block-moment matching method based on the dominance exist between solvents of the system characteristic matrix polynomial, where the Block-roots are reconstructed using a new proposed procedure. The validation and study of accurate approximation is done by a specified performance index called pulse energy criterion. The necessary condition for correctness and applicability of the proposed method is the block-controllablity or block-observability. Finally, for the demonstration of the proposed method efficiency a numerical example is illustrated.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128342835","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 combining technique based on channel shortening equalisation for ultra wideband cooperative systems","authors":"Asma Ouardas, S. Elahmar","doi":"10.1504/ijcaet.2020.10026290","DOIUrl":"https://doi.org/10.1504/ijcaet.2020.10026290","url":null,"abstract":"This paper presents a novel combining technique based on the channel shortening approach for cooperative diversity in the context of time hopping ultra wideband (TH-UWB) systems. Since UWB channel has very long impulse response, TH-UWB performances are affected by inter-symbol interference (ISI). Therefore, the use of the rake diversity combining is very effective, but it increases the receiver complexity due to its large number of correlations. The idea is to introduce a channel shortening equaliser (CSE) before the rake reception in first and second time slots at the relay and destination, respectively. The decode and forward (DF) is used as a relay protocol to retransmit signals and the relay is supposed equipped with multiple antennas and antenna selection criterion is used to exploit the diversity. Numerical results show that significant improvement in the BER is obtained by our proposed structure comparing to cases where the relay is equipped with a single antenna and multiple antennas (full diversity).","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134430119","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":"Model-driven development of self-adaptive multi-agent systems with context-awareness","authors":"Farid Feyzi","doi":"10.1504/ijcaet.2020.10026287","DOIUrl":"https://doi.org/10.1504/ijcaet.2020.10026287","url":null,"abstract":"Self-adaptive systems are complex and operate in dynamic and heterogeneous environments. They have to dynamically modify their behaviour at run-time in response to different kinds of changes. This paper presents a methodology to develop context-aware self-adaptive systems by employing the model driven architecture (MDA) and agent-oriented technology advantages. The approach aims to combine these two promising technologies to overcome the complexity of developing such systems. The methodology focuses on the key issues in the analysis and design of self-adaptive multi-agent systems. Different abstraction levels based on MDA has been proposed and mappings between models in these levels provided. These mappings bridge the gap between the high-level models produced in computation independent (CIM) and platform independent models (PIM) as well as the low-level models based on specific implementation platform called SADE (Self-adaptation Development Environment). The proposed approach has been evaluated through a case study described in the paper.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116955237","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}
F. H. Abanda, A. Musa, P. Clermont, J. Tah, A. Oti
{"title":"A BIM-based framework for construction project scheduling risk management","authors":"F. H. Abanda, A. Musa, P. Clermont, J. Tah, A. Oti","doi":"10.1504/IJCAET.2020.10026288","DOIUrl":"https://doi.org/10.1504/IJCAET.2020.10026288","url":null,"abstract":"The management of risks has been at the heart of most construction projects. Building information modelling (BIM) provides opportunities to manage risks in construction projects. However, studies about the use of BIM in risk management are sketchy with a lack of a systematic approach in using BIM for managing risk in construction projects. Based on existing risk models, this study investigated and developed a BIM-based framework for the management of construction project scheduling risk. Although, the frameworks were developed by mining risk management processes from Synchro and Vico, both being amongst leading 4D/5D BIM software systems, they can inform risk management in BIM projects that are supported by 4D/5D BIM software systems that contain risk management modules. The frameworks were validated for their syntactic and semantic correctness.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115497603","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}