https://reunir.unir.net/handle/123456789/9559 Fri, 08 Nov 2024 20:43:52 GMT 2024-11-08T20:43:52Z https://reunir.unir.net/handle/123456789/9599 Performance comparison of hierarchical checkpoint protocols grid computing Massata NDIAYE, Ndeye; SENS, Pierre; THIARE, Ousmane Grid infrastructure is a large set of nodes geographically distributed and connected by a communication. In this context, fault tolerance is a necessity imposed by the distribution that poses a number of problems related to the heterogeneity of hardware, operating systems, networks, middleware, applications, the dynamic resource, the scalability, the lack of common memory, the lack of a common clock, the asynchronous communication between processes. To improve the robustness of supercomputing applications in the presence of failures, many techniques have been developed to provide resistance to these faults of the system. Fault tolerance is intended to allow the system to provide service as specified in spite of occurrences of faults. It appears as an indispensable element in distributed systems. To meet this need, several techniques have been proposed in the literature. We will study the protocols based on rollback recovery. These protocols are classified into two categories: coordinated checkpointing and rollback protocols and log-based independent checkpointing protocols or message logging protocols. However, the performance of a protocol depends on the characteristics of the system, network and applications running. Faced with the constraints of large-scale environments, many of algorithms of the literature showed inadequate. Given an application environment and a system, it is not easy to identify the recovery protocol that is most appropriate for a cluster or hierarchical environment, like grid computing. While some protocols have been used successfully in small scale, they are not suitable for use in large scale. Hence there is a need to implement these protocols in a hierarchical fashion to compare their performance in grid computing. In this paper, we propose hierarchical version of four well-known protocols. We have implemented and compare the performance of these protocols in clusters and grid computing using the Omnet++ simulator. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2019-12-03T08:35:21Z No. of bitstreams: 1 IJIMAI20121_5_6_0.pdf: 501573 bytes, checksum: 50f397ad789c8fa82cf3afd94c7cb7e2 (MD5); Made available in DSpace on 2019-12-03T08:35:21Z (GMT). No. of bitstreams: 1 IJIMAI20121_5_6_0.pdf: 501573 bytes, checksum: 50f397ad789c8fa82cf3afd94c7cb7e2 (MD5) https://reunir.unir.net/handle/123456789/9599 https://reunir.unir.net/handle/123456789/9598 Approach for solving multimodal problems using Genetic Algorithms with Grouped into Species optimized with Predator-Prey Seoane, Pablo; Gestal, Marcos; Dorado, Julián Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach is insufficient. To this end, the idea of dividing the individuals into species has been successfully raised. However, this solution is not free of drawbacks, such as the emergence of redundant species, overlapping or performance degradation by significantly increasing the number of individuals to be evaluated. This paper presents the implementation of a method based on the predator-prey technique, with the aim of providing a solution to the problem, as well as a number of examples to prove its effectiveness. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2019-12-03T08:22:09Z No. of bitstreams: 1 ijimai20121_5_1_pdf_24294.pdf: 440636 bytes, checksum: 63a237a6b427c31f75ea72be91e7d96a (MD5); Made available in DSpace on 2019-12-03T08:22:09Z (GMT). No. of bitstreams: 1 ijimai20121_5_1_pdf_24294.pdf: 440636 bytes, checksum: 63a237a6b427c31f75ea72be91e7d96a (MD5) https://reunir.unir.net/handle/123456789/9598 https://reunir.unir.net/handle/123456789/9597 Recognizing Human Activities Userindependently on Smartphones Based on Accelerometer Data Siirtola, Pekka; Röning, Juha Real-time human activity recognition on a mobile phone is presented in this article. Unlike in most other studies, not only the data were collected using the accelerometers of a smartphone, but also models were implemented to the phone and the whole classification process (preprocessing, feature extraction and classification) was done on the device. The system is trained using phone orientation independent features to recognize five everyday activities: walking, running, cycling, driving a car and sitting/standing while the phone is in the pocket of the subject's trousers. Two classifiers were compared, knn (k nearest neighbors) and QDA (quadratic discriminant analysis). The models for real-time activity recognition were trained offline using a data set collected from eight subjects and these offline results were compared to real-time recognition rates, which are obtained by implementing models to mobile activity recognition application which currently supports two operating systems: Symbian^3 and Android. The results show that the presented method is light and, therefore, suitable for be used in real-time recognition. In addition, the recognition rates on the smartphones were encouraging, in fact, the recognition accuracies obtained are approximately as high as offline recognition rates. Also, the results show that the method presented is not an operating system dependent. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2019-12-02T13:43:47Z No. of bitstreams: 1 IJIMAI20121_5_5.pdf: 384789 bytes, checksum: 3fc2de3c84520a4808e6218a437f750f (MD5); Made available in DSpace on 2019-12-02T13:43:47Z (GMT). No. of bitstreams: 1 IJIMAI20121_5_5.pdf: 384789 bytes, checksum: 3fc2de3c84520a4808e6218a437f750f (MD5) https://reunir.unir.net/handle/123456789/9597 https://reunir.unir.net/handle/123456789/9577 Wireless Sensor Networks and Real-Time Locating Systems to Fight against Maritime Piracy García, Óscar; Alonso, Ricardo S.; Tapia, Dante I.; Guevara, Fabio There is a wide range of military and civil applications where Wireless Sensor Networks (WSNs) and Multi-Agent Systems (MASs) can be used for providing context-awareness for troops and special corps. On the one hand, WSNs comprise an ideal technology to develop Real-Time Locating Systems (RTLSs) aimed at indoor environments, where existing global navigation satellite systems do not work properly. On the other hand, agent-based architectures allow building autonomous and robust systems that are capable of working on highly dynamic scenarios. This paper presents two piracy scenarios where the n-Core platform can be applied. n-Core is a hardware and software platform intended for developing and deploying easily and quickly a wide variety of WSNs applications based on the ZigBee standard. In the first scenario a RTLS is deployed to support boarding and rescue operations. In the second scenario a multi-agent system is proposed to detect the unloading of illegal traffic of merchandise at ports. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2019-11-25T13:39:30Z No. of bitstreams: 1 IJIMAI20121_5_2.pdf: 512417 bytes, checksum: c12a838275bc55d6e9a20090acb3cc36 (MD5); Made available in DSpace on 2019-11-25T13:39:30Z (GMT). No. of bitstreams: 1 IJIMAI20121_5_2.pdf: 512417 bytes, checksum: c12a838275bc55d6e9a20090acb3cc36 (MD5) https://reunir.unir.net/handle/123456789/9577 https://reunir.unir.net/handle/123456789/9576 Evaluation of Shelf Life of Processed Cheese by Implementing Neural Computing Models Goyal, Sumit; Kumar Goyal, Gyanendra For predicting the shelf life of processed cheese stored at 7-8 C, Elman single and multilayer models were developed and compared. The input variables used for developing the models were soluble nitrogen, pH; standard plate count, Yeast & mould count, and spore count, while output variable was sensory score. Mean Square Error, Root Mean Square Error, Coefficient of Determination and Nash - Sutcliffo Coefficient were applied in order to compare the prediction ability of the developed models. The Elman models got simulated very well and showed excellent agreement between the experimental data and the predicted values, suggesting that the Elman models can be used for predicting the shelf life of processed cheese. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2019-11-25T13:30:01Z No. of bitstreams: 1 IJIMAI20121_5_8.pdf: 354637 bytes, checksum: a0f05c6bfb57dea450dca1a5de6797de (MD5); Made available in DSpace on 2019-11-25T13:30:01Z (GMT). No. of bitstreams: 1 IJIMAI20121_5_8.pdf: 354637 bytes, checksum: a0f05c6bfb57dea450dca1a5de6797de (MD5) https://reunir.unir.net/handle/123456789/9576 https://reunir.unir.net/handle/123456789/9575 Improved Differential Evolution Algorithm for Parameter Estimation to Improve the Production of Biochemical Pathway Khim Chong, Chuii; Saberi Mohamad, Mohd; Deris, Safaai; Shahir Shamsir, Mohd; Wen Choon, Yee; En Chai, Lian This paper introduces an improved Differential Evolution algorithm (IDE) which aims at improving its performance in estimating the relevant parameters for metabolic pathway data to simulate glycolysis pathway for yeast. Metabolic pathway data are expected to be of significant help in the development of efficient tools in kinetic modeling and parameter estimation platforms. Many computation algorithms face obstacles due to the noisy data and difficulty of the system in estimating myriad of parameters, and require longer computational time to estimate the relevant parameters. The proposed algorithm (IDE) in this paper is a hybrid of a Differential Evolution algorithm (DE) and a Kalman Filter (KF). The outcome of IDE is proven to be superior than Genetic Algorithm (GA) and DE. The results of IDE from experiments show estimated optimal kinetic parameters values, shorter computation time and increased accuracy for simulated results compared with other estimation algorithms. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2019-11-25T13:22:09Z No. of bitstreams: 1 IJIMAI20121_5_3_0.pdf: 630396 bytes, checksum: 74a0895721a42251f43ea1dc5068352c (MD5); Made available in DSpace on 2019-11-25T13:22:09Z (GMT). No. of bitstreams: 1 IJIMAI20121_5_3_0.pdf: 630396 bytes, checksum: 74a0895721a42251f43ea1dc5068352c (MD5) https://reunir.unir.net/handle/123456789/9575 https://reunir.unir.net/handle/123456789/9574 A Grammatical Approach to the Modeling of an Autonomous Robot López-García, Gabriel; Gallego-Sánchez, A. Javier; Dalmau-Espert, J. Luis; Molina-Carmona, Rafael; Compañ-Rosique, Patricia Virtual Worlds Generator is a grammatical model that is proposed to define virtual worlds. It integrates the diversity of sensors and interaction devices, multimodality and a virtual simulation system. Its grammar allows the definition and abstraction in symbols strings of the scenes of the virtual world, independently of the hardware that is used to represent the world or to interact with it. A case study is presented to explain how to use the proposed model to formalize a robot navigation system with multimodal perception and a hybrid control scheme of the robot. The result is an instance of the model grammar that implements the robotic system and is independent of the sensing devices used for perception and interaction. As a conclusion the Virtual Worlds Generator adds value in the simulation of virtual worlds since the definition can be done formally and independently of the peculiarities of the supporting devices. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2019-11-25T13:11:11Z No. of bitstreams: 1 IJIMAI20121_5_4_0.pdf: 640641 bytes, checksum: d05974c0da1f4a6c5c014e86b74d0aa9 (MD5); Made available in DSpace on 2019-11-25T13:11:11Z (GMT). No. of bitstreams: 1 IJIMAI20121_5_4_0.pdf: 640641 bytes, checksum: d05974c0da1f4a6c5c014e86b74d0aa9 (MD5) https://reunir.unir.net/handle/123456789/9574 https://reunir.unir.net/handle/123456789/9560 Fusing Facial Features for Face Recognition Ahmad Dargham, Jamal; Chekima, Ali; Gubin Moung, Ervin Face recognition is an important biometric method because of its potential applications in many fields, such as access control, surveillance, and human-computer interaction. In this paper, a face recognition system that fuses the outputs of three face recognition systems based on Gabor jets is presented. The first system uses the magnitude, the second uses the phase, and the third uses the phase-weighted magnitude of the jets. The jets are generated from facial landmarks selected using three selection methods. It was found out that fusing the facial features gives better recognition rate than either facial feature used individually regardless of the landmark selection method. Submitted by Administrador Re-UNIR Re-UNIR (reunir@unir.net) on 2019-11-19T13:44:47Z No. of bitstreams: 1 IJIMAI20121_5_7.pdf: 719614 bytes, checksum: cb284fe86989d96931d9916718c166d3 (MD5); Made available in DSpace on 2019-11-19T13:44:47Z (GMT). No. of bitstreams: 1 IJIMAI20121_5_7.pdf: 719614 bytes, checksum: cb284fe86989d96931d9916718c166d3 (MD5) https://reunir.unir.net/handle/123456789/9560