Implemented by an increasing number of organisations worldwide, the ISO 9001 standard for quality... more Implemented by an increasing number of organisations worldwide, the ISO 9001 standard for quality management received considerable attention in the existing literature. Researchers worldwide have found positive, negative and even mixed effects of ISO 9001 certification on firms’ performance, while in Morocco this issue has been rarely examined. It is the combination of these observations that led to this study. The aim of this paper is to test and validate a causal model designed to measure the performance of an ISO 9001 certified Quality Management System (QMS) and its impact on a company’s financial performance. By means of this causal analysis/model, the study examines the relationship between: • QMS and the financial performance of 41 companies based in Morocco; • the management responsibility process and all the QMS processes; • the management resources process and all the QMS processes; • the organisational and financial performance of the studied companies. All of the conside...
Proceedings of the 2nd international Conference on Big Data, Cloud and Applications
The medical information represents an invaluable source of knowledge concerning the medical histo... more The medical information represents an invaluable source of knowledge concerning the medical history of the patient, but the manner of their presentation make it badly exploited. The idea of this paper is based on the analysis of the death reports written in natural language, which are rich of information, and can be exploited in the calculation of mortality statistics, giving preventive solutions, as well as, help medical professional in their research. This paper proposes our approach to the task of Multi-label Categorization of French death certificates according to ICD-10 (International Classification of Diseases) codes. This approach is based on Machine learning techniques, which is evaluated over CépiDC corpus. The experiment showed that our approach gives interesting results, with an average F1-measue of 79.02%.
Proceedings of the 3rd International Conference on Smart City Applications, 2018
The Security is a real permanent problem in wired and wireless communication systems. This issue ... more The Security is a real permanent problem in wired and wireless communication systems. This issue becomes more and more complex in the internet of things context where the security solution still poor and insufficient where the number of these noeud hugely increase (around 26 milliards in 2020). In this paper we propose a new security schema which avoid the use of cryptography mechanism based on the exchange of symmetric or asymmetric keys which aren't recommended in IoT devices due to their limitation in processing, stockage and energy. The proposed solution is based on the use of the multi-agent ensuring the security of connected objects. These objects programmed with agents are able to communicate with other objects without any need to compute keys. The main objective in this work is to maintain a high level of security with an optimization of the energy consumption of IoT devices.
Innovations in Smart Cities and Applications, 2018
Medical document written in natural language is available in electronic form, and it constitutes ... more Medical document written in natural language is available in electronic form, and it constitutes an invaluable source for medical research. This paper describes our system based on hybrid approach for the task of Named Entity Recognition and Normalization of French medical documents using QUAERO corpus [1]. To evaluate our system, we took part in three subtasks: Entity Normalization, Named Entity Extraction and Classification which involved 10 categories including Anatomy, Chemicals & Drugs, Devices, Disorders, Geographic Areas, Living Beings, Objects, Phenomena, Physiology and Procedures. The results on both tasks, Named Entity Recognition and Normalization, demonstrate high performance as compared to other methods for French Medical Entity Recognition and Normalization.
Proceedings of the Mediterranean Symposium on Smart City Application, 2017
The analysis of the eyes' state is a crucial step for the driver's drowsiness detection. ... more The analysis of the eyes' state is a crucial step for the driver's drowsiness detection. In this article, we propose a driver's assistant system that activates alarms to alert the drowsy driver. The proposed system is described as follows: the extraction and recognition of face elements, then that of the eyes then define their states. For the extraction and recognition of face and eyes, we use the Viola and Jones method. Finally, we use the Logistic Regression method, which will take the provided vector image to determine if the driver is in the drowsiness state or not. The tests performed on the real video sequences, using an Embedded System (Raspberry), provide good results and may function in real time.
Proceedings of the 3rd International Conference on Networking, Information Systems & Security, 2020
Dialogue or conversational systems including chatbots, and personal assistants are becoming ubiqu... more Dialogue or conversational systems including chatbots, and personal assistants are becoming ubiquitous in modern society. Here we present a question answering system that's help a customer to search a product in an ecommerce website and inquiring about it. This article describes a question answering bot, which is based on deep learning. We develop a set of deep learning models for natural language retrieval and generation --- including recurrent neural networks, sequence-to-sequence models and attention mechanism --- and evaluate them in the context of natural language processing. Thus; we have used those technologies in a grammatical correction system, and a question answering system by passing the first model result as input to the second one, in order to improve result.
We recently identified a histological subtype of hepatocellular carcinoma (HCC), designated as &q... more We recently identified a histological subtype of hepatocellular carcinoma (HCC), designated as "macrotrabecular-massive" (MTM-HCC) and associated with specific molecular features. In order to assess the clinical relevance of this variant, we investigated its prognostic value in two large series of patients with HCC treated by either surgical resection or radiofrequency ablation (RFA). We retrospectively included 237 HCC surgical samples and 284 HCC liver biopsies from patients treated by surgical resection and RFA, respectively. Histological slides were reviewed by pathologists specialized in liver disease, and the MTM-HCC subtype was defined by the presence of a predominant (>50%) macrotrabecular architecture (more than six cells thick). The main clinical and biological features were recorded at baseline. Clinical endpoints were early and overall recurrence. The MTM-HCC subtype was identified in 12% of the whole cohort (16% of surgically resected samples, 8.5% of liver...
A belief that a better-trained workforce will enhance employability of workers at the individual ... more A belief that a better-trained workforce will enhance employability of workers at the individual level and thus reduce unemployment at the aggregate level is commonly held. Nevertheless, in reality and especially in developing countries, unemployment rates strongly hit the most educated population. Contrarily to the traditional literature which takes hiring cost as exogenous, we assume that hiring cost is endogenous and proportional to the worker’s skill level. By doing so, our model displays a positive relationship linking education and unemployment which agrees with reality.
AbstractThis paper proposes a two-diode model to represent the photovoltaic cell. This model requ... more AbstractThis paper proposes a two-diode model to represent the photovoltaic cell. This model requires only three parameters (photocurrent, diffusion, and recombination of the dark current). The analytical resolution of continuity equations in each region of a crystalline solar cell enabled the determination of the expressions of diffusion and recombination of dark currents. New relationships are proposed giving the expressions of these currents as a function of their reference values, which are determined from both the data provided by the manufacturer and the different temperature values. This study indicated how the parameters of the proposed model were determined. Predicted current–voltage curves were compared with the De Soto one-diode model and experimental data from a building integrated photovoltaic facility at the National Institute of Standards and Technology (NIST) for two different cell technologies (single crystalline, polycrystalline). The maximum power calculated by the proposed model was ca...
Implemented by an increasing number of organisations worldwide, the ISO 9001 standard for quality... more Implemented by an increasing number of organisations worldwide, the ISO 9001 standard for quality management received considerable attention in the existing literature. Researchers worldwide have found positive, negative and even mixed effects of ISO 9001 certification on firms’ performance, while in Morocco this issue has been rarely examined. It is the combination of these observations that led to this study. The aim of this paper is to test and validate a causal model designed to measure the performance of an ISO 9001 certified Quality Management System (QMS) and its impact on a company’s financial performance. By means of this causal analysis/model, the study examines the relationship between: • QMS and the financial performance of 41 companies based in Morocco; • the management responsibility process and all the QMS processes; • the management resources process and all the QMS processes; • the organisational and financial performance of the studied companies. All of the conside...
Proceedings of the 2nd international Conference on Big Data, Cloud and Applications
The medical information represents an invaluable source of knowledge concerning the medical histo... more The medical information represents an invaluable source of knowledge concerning the medical history of the patient, but the manner of their presentation make it badly exploited. The idea of this paper is based on the analysis of the death reports written in natural language, which are rich of information, and can be exploited in the calculation of mortality statistics, giving preventive solutions, as well as, help medical professional in their research. This paper proposes our approach to the task of Multi-label Categorization of French death certificates according to ICD-10 (International Classification of Diseases) codes. This approach is based on Machine learning techniques, which is evaluated over CépiDC corpus. The experiment showed that our approach gives interesting results, with an average F1-measue of 79.02%.
Proceedings of the 3rd International Conference on Smart City Applications, 2018
The Security is a real permanent problem in wired and wireless communication systems. This issue ... more The Security is a real permanent problem in wired and wireless communication systems. This issue becomes more and more complex in the internet of things context where the security solution still poor and insufficient where the number of these noeud hugely increase (around 26 milliards in 2020). In this paper we propose a new security schema which avoid the use of cryptography mechanism based on the exchange of symmetric or asymmetric keys which aren't recommended in IoT devices due to their limitation in processing, stockage and energy. The proposed solution is based on the use of the multi-agent ensuring the security of connected objects. These objects programmed with agents are able to communicate with other objects without any need to compute keys. The main objective in this work is to maintain a high level of security with an optimization of the energy consumption of IoT devices.
Innovations in Smart Cities and Applications, 2018
Medical document written in natural language is available in electronic form, and it constitutes ... more Medical document written in natural language is available in electronic form, and it constitutes an invaluable source for medical research. This paper describes our system based on hybrid approach for the task of Named Entity Recognition and Normalization of French medical documents using QUAERO corpus [1]. To evaluate our system, we took part in three subtasks: Entity Normalization, Named Entity Extraction and Classification which involved 10 categories including Anatomy, Chemicals & Drugs, Devices, Disorders, Geographic Areas, Living Beings, Objects, Phenomena, Physiology and Procedures. The results on both tasks, Named Entity Recognition and Normalization, demonstrate high performance as compared to other methods for French Medical Entity Recognition and Normalization.
Proceedings of the Mediterranean Symposium on Smart City Application, 2017
The analysis of the eyes' state is a crucial step for the driver's drowsiness detection. ... more The analysis of the eyes' state is a crucial step for the driver's drowsiness detection. In this article, we propose a driver's assistant system that activates alarms to alert the drowsy driver. The proposed system is described as follows: the extraction and recognition of face elements, then that of the eyes then define their states. For the extraction and recognition of face and eyes, we use the Viola and Jones method. Finally, we use the Logistic Regression method, which will take the provided vector image to determine if the driver is in the drowsiness state or not. The tests performed on the real video sequences, using an Embedded System (Raspberry), provide good results and may function in real time.
Proceedings of the 3rd International Conference on Networking, Information Systems & Security, 2020
Dialogue or conversational systems including chatbots, and personal assistants are becoming ubiqu... more Dialogue or conversational systems including chatbots, and personal assistants are becoming ubiquitous in modern society. Here we present a question answering system that's help a customer to search a product in an ecommerce website and inquiring about it. This article describes a question answering bot, which is based on deep learning. We develop a set of deep learning models for natural language retrieval and generation --- including recurrent neural networks, sequence-to-sequence models and attention mechanism --- and evaluate them in the context of natural language processing. Thus; we have used those technologies in a grammatical correction system, and a question answering system by passing the first model result as input to the second one, in order to improve result.
We recently identified a histological subtype of hepatocellular carcinoma (HCC), designated as &q... more We recently identified a histological subtype of hepatocellular carcinoma (HCC), designated as "macrotrabecular-massive" (MTM-HCC) and associated with specific molecular features. In order to assess the clinical relevance of this variant, we investigated its prognostic value in two large series of patients with HCC treated by either surgical resection or radiofrequency ablation (RFA). We retrospectively included 237 HCC surgical samples and 284 HCC liver biopsies from patients treated by surgical resection and RFA, respectively. Histological slides were reviewed by pathologists specialized in liver disease, and the MTM-HCC subtype was defined by the presence of a predominant (>50%) macrotrabecular architecture (more than six cells thick). The main clinical and biological features were recorded at baseline. Clinical endpoints were early and overall recurrence. The MTM-HCC subtype was identified in 12% of the whole cohort (16% of surgically resected samples, 8.5% of liver...
A belief that a better-trained workforce will enhance employability of workers at the individual ... more A belief that a better-trained workforce will enhance employability of workers at the individual level and thus reduce unemployment at the aggregate level is commonly held. Nevertheless, in reality and especially in developing countries, unemployment rates strongly hit the most educated population. Contrarily to the traditional literature which takes hiring cost as exogenous, we assume that hiring cost is endogenous and proportional to the worker’s skill level. By doing so, our model displays a positive relationship linking education and unemployment which agrees with reality.
AbstractThis paper proposes a two-diode model to represent the photovoltaic cell. This model requ... more AbstractThis paper proposes a two-diode model to represent the photovoltaic cell. This model requires only three parameters (photocurrent, diffusion, and recombination of the dark current). The analytical resolution of continuity equations in each region of a crystalline solar cell enabled the determination of the expressions of diffusion and recombination of dark currents. New relationships are proposed giving the expressions of these currents as a function of their reference values, which are determined from both the data provided by the manufacturer and the different temperature values. This study indicated how the parameters of the proposed model were determined. Predicted current–voltage curves were compared with the De Soto one-diode model and experimental data from a building integrated photovoltaic facility at the National Institute of Standards and Technology (NIST) for two different cell technologies (single crystalline, polycrystalline). The maximum power calculated by the proposed model was ca...
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