Abir El Yamami, S. Ahriz, K. Mansouri, Mohammed Qbadou, E. Illoussamen
{"title":"Rethinking IT project financial risk prediction using reference class forecasting technique","authors":"Abir El Yamami, S. Ahriz, K. Mansouri, Mohammed Qbadou, E. Illoussamen","doi":"10.1109/ICOA.2018.8370586","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370586","url":null,"abstract":"Forecasting financial risks is one of the most difficult tasks in risk prediction; IT project risk management practitioners stress the need to take into consideration the organizational factors of IT project success. In this context, this paper introduced the concept of Reference Class Forecasting to the problem of IT project financial risks estimates. It was designed to develop a conceptual approach to optimize financial risks prediction, at the organizational level, during IT project implementation. This approach is formally developed according to design science research approach and it addresses an area of relevance to both practitioners and academics and suggests solutions that can help IT risk managers to provide more accurate risk assessment plans.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117069620","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":"Estimation of origin destination matrix using fuzzy logic","authors":"Asma Sbai, Fattehallah Ghadi","doi":"10.1109/ICOA.2018.8370568","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370568","url":null,"abstract":"Trip distribution is the second sub model of the four step model of transportation planning process. It aims to estimate the number of trips between a pair of zones. Previous studies have investigated different techniques to estimate demand of citizens, some relaying on static approach and other using dynamic approach. In this paper we will consider the use of fuzzy logic technique by means of productions and attractions trips and distance between zones. We will also compare it with the traditional gravity model implemented in different modeling software.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129002240","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":"Towards an educational recommendation system based on big data techniques-case of Hadoop","authors":"Mohammed Qbadou, Intissar Salhi, K. Mansouri","doi":"10.1109/ICOA.2018.8370591","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370591","url":null,"abstract":"Nowadays, learning and teaching must be taken to a higher level. in order for teacher to be able to examine the performance indicators of a student or a classroom from one semester to the other, and for learners to avoid endless or non-interesting results while searching and dealing with educational documents which he /she needs, we contribute this project to put in place a technical architecture for a big data platform aiming for the establishment of an intelligent teaching that best meets the needs of learners. The solution is given by the use of Big data tools and computing algorithms to collect, analyse the data related to learners activities, provide reports and statistics to the teacher, and to follow individual students in their progression of learning, besides of making it easier for students to learn without making a big effort in researches through millions of documents that have nothing to do with their learning. The modelling solution is based on building a catalogue of resources to keep the interoperability with other systems for the management of learning and to trace the activities of students that will be saved in a warehouse LRS (Learning record store). In a first step we have developed a model profile which contribute to the context, the difficulty, the interactivity level learning, and to the resource type. In the second step we want to develop a Text Mining algorithm that takes into account the diversity of languages and uses the power of the Parallel and Distributed processing of a computer cluster in order to recommend relevant documents to students. The exploration of the results stored on the activities of the students should help us in future research to develop software agents for the automatic adaptation of the contents and the real-time monitoring of the students in their learning activities, and also empower the platform with the help of translator processes provided by NLP (Natural Language Processing) techniques in case of problems related to language diversity.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116167602","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}
Soukaina Sadiki, M. Faccio, M. Ramadany, D. Amgouz, S. Boutahar
{"title":"Impact of intelligent wireless sensor network on predictive maintenance cost","authors":"Soukaina Sadiki, M. Faccio, M. Ramadany, D. Amgouz, S. Boutahar","doi":"10.1109/ICOA.2018.8370573","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370573","url":null,"abstract":"Today's modern manufacturing demand that production systems be monitored continuously, in real time, to ensure reliability, safety of manufacturing processes and quality of products. The integration of intelligent sensors into production systems enables very specific tasks to be performed, such as remote monitoring and communicating quickly the relevant information concerning deterioration detected on these systems. This is of major interest to guide maintenance manager to make decision regarding maintenance actions. The objective of this article is to investigate the impact of maintenance policies on the performance of manufacturing systems. The integration of intelligent sensors networks is proposed for monitoring equipments to implement predictive maintenance policy. We develop simulation studies to investigate the impact of the intelligent sensor on predictive maintenance cost and reliability. The optimum predictive maintenance time can be found using the threshold of the reliability data issue from the sensors. The methods are based on the cost per unit time to show how different parameter impact the cost of maintenance, To perform this study a numerical example is illustrate the model.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128072928","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. Boudkhil, M. Chetioui, N. Benabdellah, A. Ouzzani, N. Benahmed
{"title":"A novel design of THz MEMS a-helix antenna using HFSS-based effective stochastic solvers","authors":"A. Boudkhil, M. Chetioui, N. Benabdellah, A. Ouzzani, N. Benahmed","doi":"10.1109/ICOA.2018.8370529","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370529","url":null,"abstract":"The investigation of antennas based on Microelectromechanical Systems (MEMS) processing, has particularly reported major milestones to research in THz wave applications, due to the encouraging results afforded by the real progress of the different optimization techniques based on developed Computer Aided Design (CAD) tools, to provide a new class of antennas for THz systems covering relevant areas including communication, biomedicine, spectroscopy, and other emerging fields. This paper describes a novel design of MEMS A-Helix antenna developed using High Frequency Structure Simulator (HFSS) based on effective stochastic solvers. The antennas demonstrates a high performance resulting in very low Return Losses (RL) of less than −15dB to −35dB, and excellent Voltage Standing Wave Ratio (VSWR) of less than 1.4 to 1.04 for a wide range of frequencies from 2.29 THz to 2.63 THz. The optimized MEMS A-Helix antenna presents an excellent electromagnetic response using effective automatic techniques for optimizing various tunable parameters embedded in silicon platform including the helix variables and feeding line parameters.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125815130","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":"Three metaheuristics for solving the flow shop problem with permutation and sequence dependent setup time","authors":"Said Aqil, K. Allali","doi":"10.1109/ICOA.2018.8370598","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370598","url":null,"abstract":"We present in this paper, three metaheuristics for the resolution of the flow shop scheduling problem with permutation and sequence dependent setup time. The first metaheuristic is the iterative local search algorithm, the second is the greedy randomized adaptive search procedure and the third is the greedy iterative algorithm. The goal is to minimize the total running time of all jobs, the makespan. In the three metaheuristics, during the improvement phase, we suggest a set of local research methods that we adopt for the studied problem. A comparative study is conducted on a set of instances by varying the parameters for each metaheuristic. The results obtained show good performances of the iterative greedy algorithm compared to two other metaheuristics.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133036003","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. Mohamed, Kehila Youcef, M. Abdelkrim, B. Bachir
{"title":"Towards an Algerian earthquake-resistant BIM software used during the very early schematic design phase of an architectural project","authors":"B. Mohamed, Kehila Youcef, M. Abdelkrim, B. Bachir","doi":"10.1109/ICOA.2018.8370553","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370553","url":null,"abstract":"The lesson brought by the last seismic events demonstrates that a building can be parasismic only if it is the product of a close cooperation between an architect and a civil engineer as of the early phases of the design. However, in the Algerian context neither cooperation is provided nor device tools are used by architects during the earthquake designing process. And this is mainly due to the inadequacy of these tools to designers, especially architects. They often encounter situations in which they have to find the most suitable solutions in terms of design. Their basic task is to get hold of the maximum amount of information concerning the constraints that serve in backing the designing process. Hence, architects' experimental skills as well as know-how are essential. Here, we aim to provide the various actors with practical Algerian earthquake-resistant BIM (building information modeling) software to understand and integrate safety concepts regarding seismic risks. We propose integrating fuzzy logic to the case based reasoning and to exploit the seismic vulnerability index so as to assist the architect in his/her architectural parasismic design. This tool is based on applying a model of seismic vulnerability assessment from the very early schematic design phase of an architectural project. It gives the designer and the various actors a fragmented estimate in order to distinguish the different analysis/development situations of the project, as well as an overall understanding of the architectural concepts regarding the seismic hazard. Moreover, it offers the actors a concrete illustration so that to better identify the formal relationship between the different attributes that influence the seismic response of the building.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131656907","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}
Hafsa Atik, Mouhssine Chahbouni, D. Amegouz, S. Boutahari
{"title":"Comparison between two Generation of consistent skin model shape based on a linear and nonlinear simulation of analysis tolerancing of flexible assembly with the consideration of spot welding effects","authors":"Hafsa Atik, Mouhssine Chahbouni, D. Amegouz, S. Boutahari","doi":"10.1109/ICOA.2018.8370578","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370578","url":null,"abstract":"Tolerance analysis for flexible parts and assemblies is a precious implement for minimizing manufacturing costs. This paper reviews two major methods for tolerance analysis for flexible parts. The methods discussed are a nonlinear Method Monte Carlo (MMC) and a linear method Influence Coefficient (MIC). For more performance and to approach the real case, the proposed model has been simulated to predict the deformation of flexible parts taking into consideration of spot welding effects as well as the contact modeling. Through a comprehensive comparison of these methods, this paper will present a study case a simulation of two parts using the proposal approach.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979253","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":"Configurable process mining: A comparative study","authors":"Rabab Sikal, H. Sbai, L. Kjiri","doi":"10.1109/ICOA.2018.8370585","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370585","url":null,"abstract":"Nowadays, variability management in the business processes domain is considered as a key of reuse. This can be reached by the concept of configurable processes which have become more and more used by organizations. However, the management of these configurable processes remains manual despite the diversity of works proposed in this field. As a result, significant research efforts have been made on the development of mining techniques for business processes, in order to automate the creation, the configuration and the evolution of these models. Furthermore, the study of existing approaches shows the lack of solutions integrating both the activities, resources and data perspectives with respect to the variability. In this paper, we will present a comparative study to assess configurable process mining approaches with the aim of proposing a multi-perspective configurable process model discovery approach. This comparative study is conducted in term of multi-perspective variability use.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116969338","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 volume design of planetary gear train using particle swarm optimization","authors":"Kaoutar Daoudi, El Mostapha Boudi","doi":"10.1109/ICOA.2018.8370577","DOIUrl":"https://doi.org/10.1109/ICOA.2018.8370577","url":null,"abstract":"Planetary gear train are widely used for power transmission in industrial mechanic. The problem of minimum volume of simple and multi-stage planetary gear systems has been a subject of considerable interest. This paper presents a comparison between two advanced optimization algorithms known as Genetic algorithm (GA) and particle swarm optimization (PSO) to find the optimal combination of design parameters for minimum volume of planetary gear train. This study, describe the algorithm and the mathematical model the PSO technique. However, for the GA we are based on the previously published results.","PeriodicalId":433166,"journal":{"name":"2018 4th International Conference on Optimization and Applications (ICOA)","volume":"48 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116307330","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}