Nejla Jbeli, Rekka Mastouri, H. Neji, S. Hantous-Zannad, Nawrès Khlifa
{"title":"Detection and Characterization of Subsolid Juxta-pleural Lung Nodule from CT Images","authors":"Nejla Jbeli, Rekka Mastouri, H. Neji, S. Hantous-Zannad, Nawrès Khlifa","doi":"10.1109/CoDIT.2018.8394965","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394965","url":null,"abstract":"Lung cancer is the most frequent and lethal malignant tumor. Detection and characterization of pulmonary nodules in Computed Tomography images (CT) is a primordial task for lung cancer diagnosis at early stages. As juxta-pleural nodules are directly linked to the lung pleura, they contain an open contour which makes their extraction a challenging task. In this paper, we propose an automatic detection and classification method of a part-solid juxta-pleural nodule. The proposed method was tested on 18 CT scan images in axial acquisition and gave an accurate quantification of the solid component in a part-solid nodule.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"9 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113962208","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":"Max-plus to solve the cyclic job shop problem with time lags","authors":"J. Barman, C. Martinez, Siddhartha Verma","doi":"10.1109/CoDIT.2018.8394918","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394918","url":null,"abstract":"A cyclic job shop problem with minimum and maximum time lags (JSPTL) has been considered. The paper contributes to the extension of the method for job shop problem, presented in a previous work, to cyclic scheduling. A framework with predefined control flow for iterative execution of schedules dedicated to a set of machines. The proposed framework allows to set up certain operations belonging to a set of jobs into predefined set of machines. The scheduling method is based on potential inequalities and disjunctive constraints, that are formulated in the max-Plus Algebra, in terms of inequalities. The computation of the eigenvalue of the corresponding matrices provides bounds, and a feasibility test that is used in a branch and bound procedure that permits to solve the problem. Effective computations make use of the MATLAB and its Howard algorithm implementation. One can evaluate whether or not a solution exists to the problem, compute one solution, or compute the set of solutions minimizing the completion time. The method is applied to a case study from the literature, which permits to point out its advantages and drawbacks.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116527243","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. Jansen, M. Holenderski, T. Ozcelebi, Paulien Dam, Bas Tijsma
{"title":"Predicting machine failures from industrial time series data","authors":"F. Jansen, M. Holenderski, T. Ozcelebi, Paulien Dam, Bas Tijsma","doi":"10.1109/CoDIT.2018.8394915","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394915","url":null,"abstract":"This paper addresses the problem of predicting machine failures in an industrial manufacturing process based on multivariate time series data. A workflow is presented for cleaning and preprocessing the data, and for training and evaluating a predictive model. Its implementation is modular and extensible to support changes in the underlying production processes and the gathered data. Two predictive models are presented, based on Convolutional Neural Networks and Recurrent Neural Networks, and evaluated on data from an advanced machining process used for cutting complex shapes into metal pieces.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114529206","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}
Kishore Bingi, R. Ibrahim, M. N. Karsiti, S. Hassan, V. R. Harindran
{"title":"Fractional Order PI Controllers for Real-time Control of Pressure Plant","authors":"Kishore Bingi, R. Ibrahim, M. N. Karsiti, S. Hassan, V. R. Harindran","doi":"10.1109/CoDIT.2018.8394921","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394921","url":null,"abstract":"Real-time pressure process control is quite challenging due to high nonlinearity and sensitivity. For the control of such processes, PI/PID controllers are most widely used due to the advantages of simple structure, ease of tuning and implementation. However, the performance of such controllers degrades during set-point change and high external disturbances. Therefore, this paper proposes the application of fractional order PI (FOPI) controllers for real-time control of pressure process. Experimental results of the performance comparison of the three major variants of FOPI controllers (i.e., (PI)n, [PI] and PI) shows that the standard form PI outperformed the other controllers in terms of overshoot while (PI)n produced better results in terms of settling and rise times. Hence, the later has better disturbance ability to recover from effect of disturbance.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116226148","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 novel nonlinear virtual sample generation approach integrating extreme learning machine with noise injection for enhancing energy modeling and analysis on small data: Application to petrochemical industries","authors":"Yanlin He, Zhiqiang Geng, Yongming Han, Yuan Xu, Qunxiong Zhu","doi":"10.1109/CoDIT.2018.8394788","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394788","url":null,"abstract":"Building a robust and accurate energy analysis model is considered as an important issue in the field of petrochemical industries. Under the circumstance of small samples, the accuracy of the energy analysis model is unacceptable. In order to solve this problem, a novel noise injection integrated with extreme learning machine based nonlinear virtual sample generation method is proposed. Through injecting noise in the output matrix of the hidden layer of ELM, a virtual information matrix that is different the original one generated using the original small dataset can be obtained. Then the newly generated information matrix is adopted to produce good-quality virtual samples for supplement knowledge for small samples. To authenticate the effectiveness of the proposed method, a standard trigonometric function is first selected; and then the proposed method is developed as an energy analysis model for an ethylene production process. Simulation results indicate that good virtual samples can be generated using the proposed method, and the accuracy of the energy analysis model is much improved with the aid of the newly generated virtual samples. The proposed method will effectively help production departments of petrochemical industries set more suitable targets of energy consumption and make better use of available resources.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121690007","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":"Electromyography Assessment of Forearm Muscles: Towards the Control of Exoskeleton Hand","authors":"N. Abas, W. Bukhari, M. A. Abas, M. Tokhi","doi":"10.1109/CoDIT.2018.8394906","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394906","url":null,"abstract":"Hand plays an important role in a human's life by offering physical interaction and grasping capabilities. In most stroke cases, the hand is the most vulnerable part of the body that has a high chance of suffering. This has led to the development of a numerous wearable robotic devices such as exoskeleton hands. The exoskeleton hands can provide physical assistance for stroke survivors to regain their abilities in performing basic activities of daily living and to improve their quality of life. The key challenges in developing such a device do not only lie in designing its mechanical but also in designing its controller. In controlling the exoskeleton hand, the principal criterion is to work according to the user's motion intention. It can be done by utilizing the electromyogram (EMG) signals generated by forearm muscles contributed from the movement and/or grasping abilities of the hand. In this paper, electromyography assessment of forearm muscles towards the control of an exoskeleton hand is presented. The EMG signals are collected non-invasively using multi-channel surface EMG sensors. The contractions of the muscles are detected from several forearm (flexion and extensor) muscles and the data is processed through several pattern recognition steps, before being mapped to various pinching/gripping forces and angular joints. The adaptability and learning process is done through a neural network. The experimental results show separable classes of features and significant range of control inputs that represent the inter-relation between forearm EMG signals, various pinching/gripping forces and angular joints for exoskeleton hand control.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126382865","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. Turki, Ismail Oukkacha, N. Langlois, A. Yassine, M. Camara, B. Dakyo
{"title":"A New Tuning Approach for MPC Applied to a Disturbed DC Motor","authors":"M. Turki, Ismail Oukkacha, N. Langlois, A. Yassine, M. Camara, B. Dakyo","doi":"10.1109/CoDIT.2018.8394814","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394814","url":null,"abstract":"In order to get correct results using the Model Predictive Control (MPC), one must find the suitable values of its parameters. Despite a large number of papers in literature on MPC tuning methods, there is no available analytical approach permitting to identify explicitly the robustness area of a process independently of its order. Here we intend to overcome this limit thanks to an analytical one. The interest of our approach is to be applicable to a wide set of linear controllable and observable single-input single-output (SISO) processes. The issues of optimal closed-loop stability and the energy consumed are addressed in this paper. The proposed method is tested experimentally via a DC motor. Finally, a performance comparison is made with existing methods to emphasize its effectiveness.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122494794","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}
A. Mateos, Faustino Tello, A. Jiménez-Martín, J. A. F. Pozo
{"title":"The ATC Work Shift Scheduling Problem Based on Multistart Simulated Annealing and Regular Expressions","authors":"A. Mateos, Faustino Tello, A. Jiménez-Martín, J. A. F. Pozo","doi":"10.1109/CoDIT.2018.8394783","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394783","url":null,"abstract":"In this paper we propose a new approach to solving the air traffic controller (ATC) work shift scheduling problem. This approach that minimizes the number of ATCs required to cover a given airspace sectoring, while satisfying a set of ATC labor conditions. First, initial feasible solutions are built using a heuristic, and then multistart simulated annealing is used to reach optimal solutions. In the search process, we use regular expressions to check the feasibility of the visited solutions. This provides high testing speed. Once the optimal ATC number is reached, it is used as the initial solution for a new optimization process aimed at balancing the ATC workloads.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116335824","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}
D. Lefebvre, Sara Rachidi, E. Leclercq, Yoann Pigné
{"title":"Temporal fault diagnosis for k-bounded non-Markovian SPN","authors":"D. Lefebvre, Sara Rachidi, E. Leclercq, Yoann Pigné","doi":"10.1109/CoDIT.2018.8394843","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394843","url":null,"abstract":"This paper concerns the diagnosis of temporal faults for stochastic discrete event systems that behave according to non-Markovian dynamics. K-bounded partially observed Petri nets are used to model the system structure and the sensors. Stochastic processes with probability density functions of finite support model the dynamics. Temporal faults are defined according to time constraints that must be fulfilled by the firing durations. From the proposed modelling and the collected timed measurements, the probabilities of consistent trajectories are computed with a numerical scheme. The advantage of the proposed scheme is that it can be used for a large variety of probability density functions. It works also for various time semantics. Diagnosis in terms of probability is established as a consequence.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124372085","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 Power Control for a PMSG Small Wind Turbine in a Grid-Connected DC Microgrid","authors":"Daniel Zammit, C. Staines, A. Micallef, M. Apap","doi":"10.1109/CoDIT.2018.8394779","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394779","url":null,"abstract":"This paper presents a Maximum Power Point Tracking (MPPT) algorithm to obtain optimal power operation of a small wind turbine (SWT) connected to a grid-connected DC Microgrid. The MPPT algorithm vary the duty cycle of a boost converter according to the change in the DC link power and in the DC link voltage to obtain maximum power output at all wind speeds. The proposed MPPT algorithm was tested using simulations with a SWT system modelled in Matlab/Simulink. The modelled system consisted of a Permanent Magnet Synchronous Generator (PMSG) driven by a SWT which was interfaced to the DC microgrid through a rectification stage and boost converter. The MPPT algorithm and the Boost converter are explained in detail. Simulation of the system operating under varying wind conditions is presented, showing the performance of the proposed MPPT algorithm.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132479819","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}