Template-Type: ReDIF-Article 1.0 Author-Name: A. Christy Author-X-Name-First: A. Author-X-Name-Last: Christy Author-Name: G. Meera Gandhi Author-X-Name-First: G. Meera Author-X-Name-Last: Gandhi Author-Name: S. Vaithyasubramanian Author-X-Name-First: S. Author-X-Name-Last: Vaithyasubramanian Title: Clustering of text documents with keyword weighting function Abstract: In this digital world, data is available in abundance everywhere and it is growing at a phenomenal rate. Making data available readily for decision making is an important task of data analyst. In this article, we propose an unsupervised learning algorithm for text document clustering by adopting keyword weighting function. Documents are pre-processed and relevant keywords based on their weights are grouped together. Clustered keyword weighting (CKW) takes each class in the training collection as a known cluster, and searches for feature weights iteratively to optimise the clustering objective function, in order to retrieve the best clustering result. Performance of CKW is validated by clustering BBC news collection text collections. Experiments were conducted with simple K-means, hierarchical clustering algorithms and our keyword weighting and clustering approach has shown improved cluster quality compared to the other methods. Journal: Int. J. of Intelligent Enterprise Pages: 19-31 Issue: 1 Volume: 6 Year: 2019 Keywords: documents; cluster; unsupervised; feature; K-means; normalised. File-URL: http://www.inderscience.com/link.php?id=100029 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:1:p:19-31 Template-Type: ReDIF-Article 1.0 Author-Name: Deepesh Kumar Srivastava Author-X-Name-First: Deepesh Kumar Author-X-Name-Last: Srivastava Author-Name: Basav Roychoudhury Author-X-Name-First: Basav Author-X-Name-Last: Roychoudhury Author-Name: Harsh Vardhan Samalia Author-X-Name-First: Harsh Vardhan Author-X-Name-Last: Samalia Title: Fuzzy association rule mining for economic development indicators Abstract: This paper is focused on fuzzy mining approach to extract fuzzy association rules among the economic development indicators that are net official development assistance received (ODA), foreign direct investment (FDI) and gross domestic product (GDP) for developing country India. This study is an attempt to explore the use of fuzzy association rule mining on time series data and to extract interesting association rules therefrom. The extracted rules exhibit the relative volatile nature of these three development indicators. A fuzzy membership function is used to transform the quantitative values of percentage change of each successive year datum into fuzzy sets in linguistic terms. The scalar cardinality of each linguistic term is calculated on the yearly data. Only those fuzzy association rules that qualified the criteria of minimum support and minimum confidence value were taken into consideration. The rules thus mined out exhibit quantitative regularities and can be used for the better suggestion to appropriate policy makers. Journal: Int. J. of Intelligent Enterprise Pages: 3-18 Issue: 1 Volume: 6 Year: 2019 Keywords: development indicators; association rules; fuzzy sets; membership function. File-URL: http://www.inderscience.com/link.php?id=100030 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:1:p:3-18 Template-Type: ReDIF-Article 1.0 Author-Name: R. Narmadha Author-X-Name-First: R. Author-X-Name-Last: Narmadha Title: Heterogeneous network security management Abstract: The main objective of this paper is to develop authentication delay model for inter domain or intra-domain authentications. Authentication is a security mechanism used to identify mobile nodes (MN) and prevent unauthorised usage when inter-domain or intra domain handoff happens. The latency due to authentication procedure is known as authentication delay. The authentication delay depends on message propagation time, message transmission time, message encryption/decryption time, authentication request service and waiting time at the access point, authentication request service and waiting time at the server, key encryption and decryption time, key generation time and the registration request service and waiting time, etc., In existing systems, authentication delay modelling of homogeneous network domain has been carried out and actual values are not applied for modelling the authentication delay. In the proposed system authentication delay modelling of heterogeneous network domain will be carried out and actual values will be applied for modelling the authentication delay. Journal: Int. J. of Intelligent Enterprise Pages: 32-52 Issue: 1 Volume: 6 Year: 2019 Keywords: security; interworking networks; authentication; key management. File-URL: http://www.inderscience.com/link.php?id=100033 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:1:p:32-52 Template-Type: ReDIF-Article 1.0 Author-Name: A. Suresh Author-X-Name-First: A. Author-X-Name-Last: Suresh Author-Name: A. Jayanthila Devi Author-X-Name-First: A. Jayanthila Author-X-Name-Last: Devi Title: Integrating the power of social media dataset impact in medical diagnosis Abstract: Technology gives consumer the power to investigate products to label and criticise in equal measure, and more. The emergence of internet-based social media has made it possible for one person to communicate with public about products. Many companies have pages on social networks to complement the information held about products, feedback about products. This paper is discusses about the dataset used in this work for medical diagnosis, experimental scenario and also about obtained result and discussion of the proposed system and reason for achievements on decision making process. The proposed algorithms applied to the dataset from JAVA code and it contains tools for data analysis and predictive modelling. The input dataset of the WEKA are used in the form of CSV file; the performance comparative analysis between the proposed rules-based classifier. The performance of the proposed hybrid behaviour analysis model provides better performance than other individual classifier Journal: Int. J. of Intelligent Enterprise Pages: 53-58 Issue: 1 Volume: 6 Year: 2019 Keywords: social network; online buying; consumer behaviour; rule-based classifier; C4.5; SMO; JAVA; internet; social media; hybrid model. File-URL: http://www.inderscience.com/link.php?id=100034 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:1:p:53-58 Template-Type: ReDIF-Article 1.0 Author-Name: Mohamed Abdel-Basset Author-X-Name-First: Mohamed Author-X-Name-Last: Abdel-Basset Author-Name: Heba Rashad Author-X-Name-First: Heba Author-X-Name-Last: Rashad Author-Name: Yongquan Zhou Author-X-Name-First: Yongquan Author-X-Name-Last: Zhou Title: Solving quadratic assignment problem by symbiotic organisms search algorithm Abstract: Symbiotic organisms search algorithm (SOS) is a new meta-heuristic algorithm based on the symbiotic relationship between the biological, which was proposed in recent years. In this paper, we propose new robust and powerful metaheuristic algorithm called an improved version of symbiotic organisms search algorithm integrated with construction algorithm and mutation operators (ISOS) to solve quadratic assignment problems. The quadratic assignment problem (QAP) considers NP-hard combinatorial optimisation problem and has various practical applications. A set of benchmarks from QAPLIB Library are employed to evaluate the performance of proposed algorithm. ISOS is compared to several algorithms in the literature. The comparisons show that the proposed algorithm shows reliable, efficient and promising results. Journal: Int. J. of Intelligent Enterprise Pages: 77-91 Issue: 1 Volume: 6 Year: 2019 Keywords: symbiotic organisms search algorithm; SOS; optimisation; quadratic assignment problem; combinatorial optimisation. File-URL: http://www.inderscience.com/link.php?id=100035 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:1:p:77-91 Template-Type: ReDIF-Article 1.0 Author-Name: Shashi Kant Author-X-Name-First: Shashi Author-X-Name-Last: Kant Author-Name: Pramod Chandra Author-X-Name-First: Pramod Author-X-Name-Last: Chandra Author-Name: Vinay Sharma Author-X-Name-First: Vinay Author-X-Name-Last: Sharma Author-Name: Rajat Agrawal Author-X-Name-First: Rajat Author-X-Name-Last: Agrawal Title: Gandhian management perspective for enhancing productivity and innovation in public sector organisation Abstract: This paper underpins the importance of establishing public sector undertakings (PSU) in India with special reference to one of the key industrial organisations, Bharat Heavy Electricals Ltd. (BHEL), which focuses on elements of innovation that drives productivity inculcating the Gandhian management perspective. In the present competitive world, BHEL and other industrial PSUs are passing through a transitional phase of enhancing their productive competitiveness through both process and product innovation for sustainable growth. This requires introduction and adaption of non-conventional or modern modes of management based on the principles of Mahatma Gandhi. The need, importance and implication of Gandhian perspective in industrial organisation got reemphasise. Mahatma Gandhi's fundamental philosophical approach might not be radically different from that of others but it exists in the form of an approach that structurally recommends a pathway of wealth generation, productivity, wealth distribution and economic prosperity for all. The paper intends to find traces of Gandhian management perspective in Indian PSUs and also tries to elicit relevant Gandhian elements of industrial organisation management. Journal: Int. J. of Intelligent Enterprise Pages: 92-119 Issue: 1 Volume: 6 Year: 2019 Keywords: public sector undertaking; PSU; ethical management; sustainable leadership; Gandhian management perspective; Gandhian innovation. File-URL: http://www.inderscience.com/link.php?id=100036 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:1:p:92-119 Template-Type: ReDIF-Article 1.0 Author-Name: D. Ramya Author-X-Name-First: D. Author-X-Name-Last: Ramya Author-Name: A. Santhi Mary Antony Author-X-Name-First: A. Santhi Mary Author-X-Name-Last: Antony Author-Name: D. Godwin Immanuel Author-X-Name-First: D. Godwin Author-X-Name-Last: Immanuel Author-Name: G. Nagarajan Author-X-Name-First: G. Author-X-Name-Last: Nagarajan Title: Design of interleaved flyback converter Abstract: This paper proposes a transformer design to achieve soft switching low power flyback converter. This proposed paper is having the soft switching which reduces the power loss in main switch while improving the over all EMI in the converter. It also proposes the design methodology for the transformer in a flyback converter which automatically accomplishes the complete soft switching of the main switch. Journal: Int. J. of Intelligent Enterprise Pages: 59-76 Issue: 1 Volume: 6 Year: 2019 Keywords: interleaved flyback converter; transformer. File-URL: http://www.inderscience.com/link.php?id=100044 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:1:p:59-76 Template-Type: ReDIF-Article 1.0 Author-Name: Younes Ben Chigra Author-X-Name-First: Younes Ben Author-X-Name-Last: Chigra Author-Name: Abderrahim Ghadi Author-X-Name-First: Abderrahim Author-X-Name-Last: Ghadi Author-Name: Mohamed Bouhorma Author-X-Name-First: Mohamed Author-X-Name-Last: Bouhorma Title: Performance study of routing protocols based on node mobility in MANETs Abstract: Mobile ad hoc network (MANET) is established by a set of smart mobile nodes without any central intelligence. Hence, nodes auto-discover their surrounding and establish needed links between source and destination node. Moreover, mobile nodes change arbitrary their position, which lead to frequent link failure. Therefore, the dynamic behaviour of nodes has a drastic impact on network's performances such as end-to-end delay, packet loss ratio and traffic control that is generated during route update process. Consequently, the main issue in MANET's operations is the design of an efficient routing protocol able to deliver required quality of service in case of nodes' mobility and manage the intrinsic limitation of wireless networks, like scares bandwidth, limited energy and processing capabilities. The purpose of this paper is to study the impact of nodes' mobility on routing performances and look forward an appropriate optimisation that might enhance efficiency of routing protocol in high dynamic environment. Journal: Int. J. of Intelligent Enterprise Pages: 122-135 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: routing protocols; network performances; mobile ad hoc network; MANETs; mobility; traffic overhead; routing metrics. File-URL: http://www.inderscience.com/link.php?id=101122 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:122-135 Template-Type: ReDIF-Article 1.0 Author-Name: Dhekra Rezgui Author-X-Name-First: Dhekra Author-X-Name-Last: Rezgui Author-Name: Jouhaina Chaouachi Siala Author-X-Name-First: Jouhaina Chaouachi Author-X-Name-Last: Siala Author-Name: Wassila Aggoune-Mtalaa Author-X-Name-First: Wassila Author-X-Name-Last: Aggoune-Mtalaa Author-Name: Hend Bouziri Author-X-Name-First: Hend Author-X-Name-Last: Bouziri Title: A memetic algorithm for fleet size and mix vehicle routing problems with electric modular vehicles Abstract: This work deals with an extension of the well-known vehicle routing problem with time windows (VRPTW), where the fleet consists of electric modular vehicles (EMVs). The main drawback of managing electric vehicles is that they have a limited range. Here the vehicles are modular which means that payload modules are carried by a cabin module and can be detached at certain customer locations allowing the rest of the vehicle to continue the tour. This can also permit to recharge the battery of some modules to further capitalise on the gained energy. To tackle the resulting research problem, a comprehensive mathematical formulation is proposed to take into account the multiple constraints linked with the modularity, the electric charging, time windows to serve the customers and capacity issues. Due to the NP-hardness of the problem, a memetic algorithm is implemented and tested for designing good quality solutions in reasonable computational times. Extensive computational experiments carried out on some benchmark instances show the effectiveness of both the problem formulation and the memetic algorithm. Journal: Int. J. of Intelligent Enterprise Pages: 138-156 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: urban logistics; vehicle routing problem; VRP; metaheuristics; electric modular vehicles; EMVs. File-URL: http://www.inderscience.com/link.php?id=101123 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:138-156 Template-Type: ReDIF-Article 1.0 Author-Name: Mohammed Salim Benqatla Author-X-Name-First: Mohammed Salim Author-X-Name-Last: Benqatla Author-Name: Bouchaib Bounabat Author-X-Name-First: Bouchaib Author-X-Name-Last: Bounabat Title: IT governance in collaboration mode: building IT collaboration network using a socio technical approach based on actor network theory Abstract: IT governance of projects needs collaboration among several organisms. Collaboration is ensured by building network of collaboration between the collaborating entities; IT collaboration between organisations can play an important role to achieve business objectives. In order to build such networks of collaboration at a real scale need modelling social interactions between different actors in order to share, analyse, and suggest improvements for a collaborative perspective. This paper describes a new tool for collaboratively modelling based on actor network theory. *CollabANT system is based on actor network theory and game theory algorithm that efficiently provides abstract models of collaboration between different actors aiming at uncovering cost allocations concerns. We demonstrate the effectiveness of our approach with a real case study. The analyse of *interessement phase reveals that we are able to increase the cost saving objectives within a collaborative mode. We also present a what-if simulation feature to assess the impact of scenarios related to future collaboration evolution. Furthermore, we provide a live deployment of the *CollabANT system that allows users to explore the dynamics of collaboration networks in place as well as their involvement over time. Journal: Int. J. of Intelligent Enterprise Pages: 157-170 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: actor network theory; AnT; IT governance; cost-sharing; cooperative game theory; Shapley value; collaboration network; socio-technique. File-URL: http://www.inderscience.com/link.php?id=101124 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:157-170 Template-Type: ReDIF-Article 1.0 Author-Name: Hicham Lahdili Author-X-Name-First: Hicham Author-X-Name-Last: Lahdili Author-Name: Zine El Abidine Alaoui Ismaili Author-X-Name-First: Zine El Abidine Alaoui Author-X-Name-Last: Ismaili Title: Micro navigation system for smart parking area Abstract: Despite its limited accuracy, navigation systems depending on GPS are currently attracting considerable interest due to their increasing convenience in the field of transportation area. So far, most outdoor navigation applications are using GPS and the absence of a low-cost alternative with acceptable accuracy satisfying the indoor applications requirements has become one of the motivational topics to follow up. Therefore, different studies have been recently conducted in order to develop an accurate indoor localisation system. In this paper, we will propose a micro-navigation system for parking area with a visual positioning system (VPS) based on the surveillance camera network adaptation and the image processing theory. From the data provided by the VPS, a navigation tool will be presented besides. The proposed system has achieved an accuracy error of 0.08 M, and proved a remarkable improvement in terms of finding parking places time consuming. We believe that we have designed an innovative solution responding to traffic jams and pollution issues as well as stress and finding parking places time consuming. Journal: Int. J. of Intelligent Enterprise Pages: 171-187 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: smart parking; indoor navigation application; vehicle positioning system; real-time; image processing. File-URL: http://www.inderscience.com/link.php?id=101125 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:171-187 Template-Type: ReDIF-Article 1.0 Author-Name: Domingos Santos Author-X-Name-First: Domingos Author-X-Name-Last: Santos Title: Smart cities reconsidered: the entrepreneurial challenge Abstract: The concept of the smart city acquired increasing expression and has become a strongly discussed field in the recent past among, either the research community, either the political stakeholders. Studying and intervening on the urban dynamics requires a shift from focusing on forms of knowledge and innovation outputs towards focusing on learning and innovation dynamics, exploring the diverse dimensions of knowledge building and promoting social capital. This paper aims, first, to contribute to clarify the meaning of the word 'smart' in the context of urban development through an approach based on an in-depth literature review of pertinent studies and then, to establish the links with the dimensions of entrepreneurship that can help guide more effective urban development and planning policies, illustrating with the Smart Coimbra initiative. Besides the paper aims to inform and improve policy-making on the subject of promoting entrepreneurial mindsets and contexts, speculating on some principles and guidelines that may help fertilise urban dynamics and build smarter and more entrepreneurial cities. Journal: Int. J. of Intelligent Enterprise Pages: 188-203 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: smart city; urban development; entrepreneurship; entrepreneurship policy; innovation policy; Smart Coimbra. File-URL: http://www.inderscience.com/link.php?id=101126 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:188-203 Template-Type: ReDIF-Article 1.0 Author-Name: Boudhir Anouar Abdelhakim Author-X-Name-First: Boudhir Anouar Author-X-Name-Last: Abdelhakim Author-Name: Ben Ahmed Mohamed Author-X-Name-First: Ben Ahmed Author-X-Name-Last: Mohamed Author-Name: Fellaji Soumaya Author-X-Name-First: Fellaji Author-X-Name-Last: Soumaya Title: Architecture of a decision support system based on big data for monitoring type 2 diabetics Abstract: Type 2 diabetes is one of chronic diseases that require continuous and real-time monitoring to prevent the occurrence of complications. First, the doctor must have information about the patient's daily life (vital signs, stress, sedentary lifestyle, physical activities, nutrition, etc.). Secondly, the prescribed treatment must be evaluated each time to test the validity of the diagnosis. To achieve this goal, a decision support system based on big data mining technology must be designed in order to have a centralised knowledge of diabetics. This system will improve the quality of monitoring and treatment from the different data collected. Thus, this paper presents an architecture of a decision support system allowing doctors to monitor the health status of their patients, based on data collected from different resources, in order to enrich the knowledge database and prescribe new treatments based on similar cases and experiences of doctors and patients belonging to this system. Journal: Int. J. of Intelligent Enterprise Pages: 204-216 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: big data; analytics; Hadoop; healthcare; diabetes. File-URL: http://www.inderscience.com/link.php?id=101127 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:204-216 Template-Type: ReDIF-Article 1.0 Author-Name: Khalid El Makkaoui Author-X-Name-First: Khalid El Author-X-Name-Last: Makkaoui Author-Name: Abderrahim Beni-Hssane Author-X-Name-First: Abderrahim Author-X-Name-Last: Beni-Hssane Author-Name: Abdellah Ezzati Author-X-Name-First: Abdellah Author-X-Name-Last: Ezzati Title: MultiPrime cloud-RSA: a fast homomorphic encryption scheme for data confidentiality protection in clouds Abstract: Concerns over data confidentiality are amongst the main barriers limiting the widespread adoption of cloud solutions. Indeed, scientists have invented a new promising form of encryption, homomorphic encryption (HE), which can be considered as a powerful tool to get over these concerns. Since cloud environments are more vulnerable to attacks and since cloud consumers frequently access to cloud computing services using light-weight devices, the HE schemes must be promoted, in terms of security level and running time, to operate efficiently. In El Makkaoui et al. (2017), we boosted the normal RSA cryptosystem at security level, cloud-RSA. In this paper, we suggest a new fast variant of the Cloud-RSA scheme, MultiPime cloud-RSA, to accelerate its decryption process. The variant uses a modulus of the form <i>n</i> = Π<i><SUP align="right"><SMALL>k</SMALL></SUP></i> <SUB align="right"><SMALL><i>i</i>=1</SMALL></SUB> <i>p</i><SUB align="right"><SMALL><i>i</i></SMALL></SUB> for <i>k</i> &ge; 2 and employs the Chinese remaindering to decrypt. Theoretical and simulation results show that the new variant offers a large decryption speed-up over the cloud-RSA scheme whilst maintaining a recommended security level. Journal: Int. J. of Intelligent Enterprise Pages: 217-229 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: cloud-RSA scheme; cloud computing; confidentiality; multiplicative homomorphism; Chinese remainder theorem; CRT; fast decryption. File-URL: http://www.inderscience.com/link.php?id=101128 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:217-229 Template-Type: ReDIF-Article 1.0 Author-Name: Anbesh Jamwal Author-X-Name-First: Anbesh Author-X-Name-Last: Jamwal Author-Name: Ankur Aggarwal Author-X-Name-First: Ankur Author-X-Name-Last: Aggarwal Author-Name: Sumit Gupta Author-X-Name-First: Sumit Author-X-Name-Last: Gupta Author-Name: Parul Sharma Author-X-Name-First: Parul Author-X-Name-Last: Sharma Title: A study on the barriers to lean manufacturing implementation for small-scale industries in Himachal region (India) Abstract: In today's competitive market, lean philosophy has a vital role to play which is mainly governed by a reduction in cost, ameliorated quality, and higher expectations of customers as well as superior productivity. It has been globally witnessed that the companies which implement lean manufacturing in their system result in improved productivity and better customer satisfaction, along with the cost reduction. Lean manufacturing is the most important productivity improvement tool. The aim of this research is to identification and confirmation of the barriers to lean implementation in small-scale industries in the Himachal region (India) and to build up a relationship between the barriers. A total interpretive structural modelling approach is applied to identify the relationship of various barriers. It is evident from the research that the cost of facilities is a major barrier to implementing lean in the small-scale industries. However, the government gives the financial support for the small-scale industries in Himachal Pradesh. Journal: Int. J. of Intelligent Enterprise Pages: 393-407 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: lean manufacturing; LM; barriers; total interpretive structural modelling; TISM; inter-relationship; India. File-URL: http://www.inderscience.com/link.php?id=101129 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:393-407 Template-Type: ReDIF-Article 1.0 Author-Name: Amri Samir Author-X-Name-First: Amri Author-X-Name-Last: Samir Author-Name: Zenkouar Lahbib Author-X-Name-First: Zenkouar Author-X-Name-Last: Lahbib Title: Training and evaluation of TreeTagger on Amazigh corpus Abstract: Part-of-speech (POS) tagging has high importance in the domain of natural language processing (NLP). POS tagging determines grammatical category to any token, such as noun, verb, adjective, person, gender, etc. Some of the words are ambiguous in their categories and what tagging does is to clear of ambiguous word according to their context. Many taggers are designed with different approaches to reach high accuracy. In this paper we present a Machine Learning algorithm, which combines decision trees model and HMM model to tag Amazigh unknown words. In case of statistical methods such as TreeTagger, this will have added practical advantages also. This paper presents creation of a POS tagged corpus and evaluation of TreeTagger on Amazigh text. The results of experiments on Amazigh text show that TreeTagger provides overall tagging accuracy of 93.19%, specifically, 94.10% on known words and 70.29% on unknown words. Journal: Int. J. of Intelligent Enterprise Pages: 230-241 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: Amazigh; corpus; machine learning; POS tagging; TreeTagger. File-URL: http://www.inderscience.com/link.php?id=101130 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:230-241 Template-Type: ReDIF-Article 1.0 Author-Name: El Arbi Abdellaoui Alaoui Author-X-Name-First: El Arbi Abdellaoui Author-X-Name-Last: Alaoui Author-Name: Mustapha El Moudden Author-X-Name-First: Mustapha El Author-X-Name-Last: Moudden Author-Name: Khalid Nassiri Author-X-Name-First: Khalid Author-X-Name-Last: Nassiri Author-Name: Said Agoujil Author-X-Name-First: Said Author-X-Name-Last: Agoujil Title: Game theory-based analysis of inter-cluster communication in a DRHT network Abstract: The system performance of the delay tolerant networks (DTN) can be significantly improved by using the DTN routing hierarchical topology (DRHT) which incorporates three fundamental concepts: ferries messages, ferries routes and clusters. The intra-cluster routing is managed by the cluster head, while the inter-cluster routing is managed by the ferries messages. In this paper, we analyse the behaviour of data dissemination problem of ferries in the DRHT. More specifically, in order to analyse the inter-cluster communication in the DRHT, we formulate non-cooperative game and game stochastic which model the behaviour of the ferries. Journal: Int. J. of Intelligent Enterprise Pages: 262-292 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: delay tolerant networks; DTN; DTN routing hierarchical topology; DRHT; game theory; Nash equilibrium; game stochastic. File-URL: http://www.inderscience.com/link.php?id=101131 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:262-292 Template-Type: ReDIF-Article 1.0 Author-Name: Aimad Karkouch Author-X-Name-First: Aimad Author-X-Name-Last: Karkouch Author-Name: Hassan Al Moatassime Author-X-Name-First: Hassan Al Author-X-Name-Last: Moatassime Author-Name: Hajar Mousannif Author-X-Name-First: Hajar Author-X-Name-Last: Mousannif Title: Towards a ubiquitous students' response system for monitoring learning performances Abstract: Receiving feedback from students about their learning experience is a key part of any pedagogical approach. Students' feedback could be retrieved in a variety of ways using various students response systems (SRS); however, existing SRS suffer from lack of seamless integration into learning environments, becoming a potential source of distraction for the learning process. We propose a ubiquitous students response system (U-SRS) that is capable of continuously and seamlessly monitoring various students' learning performances features, making sense of them and providing insights for teachers, enabling them to adapt their pedagogical approach according to their students immediate needs. The proposed U-SRS takes advantages of machine learning and the internet of things paradigm to enable its services in connected classrooms. We present our solution's design, its architecture and features used to build learning performance predictive models along with implementation and various prototypes. Finally, we highlight the advantages of U-SRS over existing solutions. Journal: Int. J. of Intelligent Enterprise Pages: 242-261 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: students response system; SRS; students feedback; internet of things; machine learning. File-URL: http://www.inderscience.com/link.php?id=101132 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:242-261 Template-Type: ReDIF-Article 1.0 Author-Name: Mohamed Eddabbah Author-X-Name-First: Mohamed Author-X-Name-Last: Eddabbah Author-Name: Mohamed Moussaoui Author-X-Name-First: Mohamed Author-X-Name-Last: Moussaoui Author-Name: Yassin Laaziz Author-X-Name-First: Yassin Author-X-Name-Last: Laaziz Title: A smart architecture design for health remote monitoring systems and heterogeneous wireless sensor network technologies: a machine learning breathlessness prediction prototype Abstract: In this paper, we propose a remote patient monitoring architecture based on WBAN wireless body sensor network for breathlessness prediction using machine learning mechanism, we develop a new gateway architecture able to interconnect heterogeneous sensor networks not equipped with the HTTP/TCP/UDP stack. To ensure interoperability and facilitate seamless access to data from different types of body sensors that communicates via multiple technologies. We have designed an application-layer approach for a web service gateway to interact with heterogeneous WSN. The gateway manages the service consumption and communicates with the server via the SOAP protocol. The proposed platform targeted to monitor and process patient health data. An improved machine learning algorithm is used for patient health status prediction to perform patient self-training models based on k-means algorithm. For our platform evaluation we study the gateway power consumption then we investigate the communication delay between the gateway and the server over three communication scenarios (3G, ADSL, LOCAL). Journal: Int. J. of Intelligent Enterprise Pages: 293-310 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: internet of things; IoT; WSN; machine learning; K-means; self-training. File-URL: http://www.inderscience.com/link.php?id=101133 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:293-310 Template-Type: ReDIF-Article 1.0 Author-Name: Kenza Sakout Andaloussi Author-X-Name-First: Kenza Sakout Author-X-Name-Last: Andaloussi Author-Name: Laurence Capus Author-X-Name-First: Laurence Author-X-Name-Last: Capus Author-Name: Ismail Berrada Author-X-Name-First: Ismail Author-X-Name-Last: Berrada Author-Name: Karim Boubouh Author-X-Name-First: Karim Author-X-Name-Last: Boubouh Title: Improving smart learning experience quality through the use of extracted data from social networks Abstract: With the development of smart cities applications, the need for smart learning is increasing. Although current systems are supposed supporting smart learning, they do not really meet the expectations. In fact, for learner models, data are still mostly gathered through questionnaires and are not predicted, then standards are not satisfied. Regarding the domain model, it appears that collaborative learning is not considered. Finally, for the adaptation process, it depends on two main criteria namely the learning style and the knowledge level in addition, it concerns only one or two of these aspects: content, navigation or presentation. This paper explores the feasibility of learner modelling based on data extracted and inferred from social networks, according to the IMS-LIP specification. An adaptive learning system has been developed on the basis of this innovative approach. The first results confirm that this new way can improve the smart learning experience. Journal: Int. J. of Intelligent Enterprise Pages: 311-340 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: smart learning; educational hypermedia system; adaptation; learner model; Felder % Silverman learning style; big five personality traits; social networks. File-URL: http://www.inderscience.com/link.php?id=101134 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:311-340 Template-Type: ReDIF-Article 1.0 Author-Name: Samir Allach Author-X-Name-First: Samir Author-X-Name-Last: Allach Author-Name: Mohamed Ben Ahmed Author-X-Name-First: Mohamed Ben Author-X-Name-Last: Ahmed Author-Name: Anouar Abdelhakim Boudhir Author-X-Name-First: Anouar Abdelhakim Author-X-Name-Last: Boudhir Title: Detection of driver's alertness level based on the Viola and Jones method and logistic regression analysis Abstract: The analysis of the face elements' state is a crucial step for the driver's alertness level detection. In this article, we propose a driver's assistant system that activates alarms to alert the drowsy and/or tired driver. Our proposed system contains the following steps: firstly, the recognition of the facial elements (eyes, mouth). Secondly, the system determines the states of the mouth and eyes. Finally, it triggers the alarm in the case of the danger. For the extraction and recognition of the face and its elements (eyes, mouth), we use the Viola and Jones method and we also use logistic regression analysis that takes the supplied vector image to determine if the driver is in drowsiness and/or fatigue. The tests performed on the real video sequences, using an Embedded System, provide good results and may function in real time. Journal: Int. J. of Intelligent Enterprise Pages: 356-368 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: smart mobility; ITS; drowsiness and fatigue detection; yawning frequency; embedded system. File-URL: http://www.inderscience.com/link.php?id=101135 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:356-368 Template-Type: ReDIF-Article 1.0 Author-Name: Imane Allaouzi Author-X-Name-First: Imane Author-X-Name-Last: Allaouzi Author-Name: Mohamed Ben Ahmed Author-X-Name-First: Mohamed Ben Author-X-Name-Last: Ahmed Title: French medical named entity recognition: a hybrid approach Abstract: With the availability of a huge amount of medical textual documents in digital form, the automatic extraction of relevant information from these documents is becoming a very challenging task because of the volume and the heterogeneous structure of medical text, which contains complex vocabulary. Therefore, there is an urgent need for medical information extraction techniques. One of the most important of these techniques is named entity recognition (NER). In this paper, we propose a system of French medical NER using a hybrid approach. And since the medical domain contains various types of information, we have taken into account both clinical and biomedical data to generalise the performance of our proposed system. Journal: Int. J. of Intelligent Enterprise Pages: 341-355 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: information extraction; medical named entity recognition; MNER; multi-class classification; machine learning; knowledge-based approach; unified medical language system; UMLS; natural language processing; NLP; text mining. File-URL: http://www.inderscience.com/link.php?id=101136 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:341-355 Template-Type: ReDIF-Article 1.0 Author-Name: Abdelilah Bouslama Author-X-Name-First: Abdelilah Author-X-Name-Last: Bouslama Author-Name: Yassin Laaziz Author-X-Name-First: Yassin Author-X-Name-Last: Laaziz Author-Name: Abdelhak Tali Author-X-Name-First: Abdelhak Author-X-Name-Last: Tali Author-Name: Mohamed Eddabbah Author-X-Name-First: Mohamed Author-X-Name-Last: Eddabbah Title: AWS and IoT for real-time remote medical monitoring Abstract: Remote medical care services based on IT are becoming increasingly present in health systems and will play a fundamental role in the future to address the lack of human and material resources, and to cope with the significant increase in demand for healthcare, especially from the elderly. In this paper we present the architecture of a remote and real-time medical monitoring system, based on cloud computing and IoT. We show through a benchmarking study covering the aspects of performance, functionality and cost that cloud computing services from Amazon (AWS) are the most appropriate for this application amount other considered cloud providers. All items necessary for the implementation of the solution have been designated and their role in the system has been well explained. Journal: Int. J. of Intelligent Enterprise Pages: 369-381 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: real-time; monitoring; Amazon Web Services; AWS; IoT; cloud computing; cloud providers. File-URL: http://www.inderscience.com/link.php?id=101137 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:369-381 Template-Type: ReDIF-Article 1.0 Author-Name: Ahmed Ziani Author-X-Name-First: Ahmed Author-X-Name-Last: Ziani Author-Name: Zouhair A. Sadouq Author-X-Name-First: Zouhair A. Author-X-Name-Last: Sadouq Author-Name: Abdellatif Medouri Author-X-Name-First: Abdellatif Author-X-Name-Last: Medouri Title: Use of cloud computing and GIS on vehicle traffic management Abstract: It is challenge of traffic congestion has become recurrent problems in urban cities. Vehicular traffic becomes an important research area due to its features and applications as road safety and efficient traffic management. Vehicles are expected to carry relatively more communication systems. Hence, several technologies have been deployed to promote vehicular traffic management. Geographic information systems (GISs) play an essential role in wide range of areas and are extensively adopted nowadays. GIS is a collection of tools that captures, stores, analyses, manages, and presents data that are linked to geographical locations. Cloud computing is a construct that allows to access applications that actually reside at a location other than a computer or other internet connected devices. The combination of cloud computing and GIS provide new prospects for the development of information storage and of GIS applications. In this paper, architecture for GIS cloud system for vehicular traffic management is proposed. Journal: Int. J. of Intelligent Enterprise Pages: 382-392 Issue: 2/3/4 Volume: 6 Year: 2019 Keywords: geographical information systems; GISs; cloud GIS; cloud computing; vehicular traffic; Microsoft's Windows Azure; Traccar Web UI. File-URL: http://www.inderscience.com/link.php?id=101138 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijient:v:6:y:2019:i:2/3/4:p:382-392