https://reunir.unir.net/handle/123456789/10933 2025-10-19T19:45:31Z https://reunir.unir.net/handle/123456789/11447 IJIMAI Editor's Note - Vol. 3 Issue 7 Sanjuán Martínez, Óscar The research works presented in this issue are based on various topics of interest, among which are included: SVM and ANN Based Classification, Security in Android, Semantic Data, Planning and Software Agents, Mission Planning, Clustering in Text Mining, Mobile Networks, Weather Radars, Human Activity Recognition, LIF Neurons and DDF, Theft Prevention, Constraint Programming, Measuring Meditations Effects, Neural Networks and Deep Learning. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2021-06-03T12:25:15Z No. of bitstreams: 0; Made available in DSpace on 2021-06-03T12:25:15Z (GMT). No. of bitstreams: 0 https://reunir.unir.net/handle/123456789/11236 Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning Machado Fernández, José Raúl; Bacallao Vidal, Jesús de la Concepción The discrimination of the clutter interfering signal is a current problem in modern radars’ design, especially in coastal or offshore environments where the histogram of the background signal often displays heavy tails. The statistical characterization of this signal is very important for the cancellation of sea clutter, whose behavior obeys a K distribution according to the commonly accepted criterion. By using neural networks, the authors propose a new method for estimating the K shape parameter, demonstrating its superiority over the classic alternative based on the Method of Moments. Whereas both solutions have a similar performance when the entire range of possible values of the shape parameter is evaluated, the neuronal alternative achieves a much more accurate estimation for the lower Fig.s of the parameter. This is exactly the desired behavior because the best estimate occurs for the most aggressive states of sea clutter. The final design, reached by processing three different sets of computer generated K samples, used a total of nine neural networks whose contribution is synthesized in the final estimate, thus the solution can be interpreted as a deep learning approximation. The results are to be applied in the improvement of radar detectors, particularly for maintaining the operational false alarm probability close to the one conceived in the design. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T14:41:13Z No. of bitstreams: 1 ijimai20163_7_14_pdf_14393.pdf: 7630656 bytes, checksum: 884a2afc180871cd0d8014c23667008e (MD5); Made available in DSpace on 2021-04-21T14:41:13Z (GMT). No. of bitstreams: 1 ijimai20163_7_14_pdf_14393.pdf: 7630656 bytes, checksum: 884a2afc180871cd0d8014c23667008e (MD5) https://reunir.unir.net/handle/123456789/11235 Chinese-chi and Kundalini yoga Meditations Effects on the Autonomic Nervous System: Comparative Study Dey, Anilesh; Bhattacharya, D. K.; Tibarewala, D.N.; Dey, Nilanjan; Ashour, Amira S.; Le, Dac-Nhuong; Gospodinova, Evgeniya; Gospodinov, Mitko Cardiac disease is one of the major causes for death all over the world. Heart rate variability (HRV) is a significant parameter that used in assessing Autonomous Nervous System (ANS) activity. Generally, the 2D Poincare′ plot and 3D Poincaré plot of the HRV signals reflect the effect of different external stimuli on the ANS. Meditation is one of such external stimulus, which has different techniques with different types of effects on the ANS. Chinese Chi-meditation and Kundalini yoga are two different effective meditation techniques. The current work is interested with the analysis of the HRV signals under the effect of these two based on meditation techniques. The 2D and 3D Poincare′ plots are generally plotted by fitting respectively an ellipse/ellipsoid to the dense region of the constructed Poincare′ plot of HRV signals. However, the 2D and 3D Poincaré plots sometimes fail to describe the proper behaviour of the system. Thus in this study, a three-dimensional frequency-delay plot is proposed to properly distinguish these two famous meditation techniques by analyzing their effects on ANS. This proposed 3D frequency-delay plot is applied on HRV signals of eight persons practicing same Chi-meditation and four other persons practising same Kundalini yoga. To substantiate the result for larger sample of data, statistical Student t-test is applied, which shows a satisfactory result in this context. The experimental results established that the Chi-meditation has large impact on the HRV compared to the Kundalini yoga. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T14:36:50Z No. of bitstreams: 1 ijimai20163_7_13_pdf_34001.pdf: 512858 bytes, checksum: 21e0b3b1b8cf23d3f522581ff37366a4 (MD5); Made available in DSpace on 2021-04-21T14:36:50Z (GMT). No. of bitstreams: 1 ijimai20163_7_13_pdf_34001.pdf: 512858 bytes, checksum: 21e0b3b1b8cf23d3f522581ff37366a4 (MD5) https://reunir.unir.net/handle/123456789/11234 An Extensive Evaluation of Portfolio Approaches for Constraint Satisfaction Problems Amadini, Roberto; Gabbrielli, Maurizio; Mauro, Jacopo In the context of Constraint Programming, a portfolio approach exploits the complementary strengths of a portfolio of different constraint solvers. The goal is to predict and run the best solver(s) of the portfolio for solving a new, unseen problem. In this work we reproduce, simulate, and evaluate the performance of different portfolio approaches on extensive benchmarks of Constraint Satisfaction Problems. Empirical results clearly show the benefits of portfolio solvers in terms of both solved instances and solving time. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T14:27:00Z No. of bitstreams: 1 ijimai20163_7_12_pdf_13932.pdf: 959307 bytes, checksum: ecf386323b85b967802feb9f5e188d0b (MD5); Made available in DSpace on 2021-04-21T14:27:00Z (GMT). No. of bitstreams: 1 ijimai20163_7_12_pdf_13932.pdf: 959307 bytes, checksum: ecf386323b85b967802feb9f5e188d0b (MD5) https://reunir.unir.net/handle/123456789/11233 A Real Time Approach to Theft Prevention in the field of Transportation System Mehta, Vartika; Punetha, Deepak; Bijalwan, Vishwanath This paper report discusses a theft prevention system, which can prevent the theft and also can be track the object. This system is capable to tracking the vehicle as well as theft prevention. An R.F. module is use to exchange the information regarding vehicle and owner of the vehicle with police control room or SOS services. The vehicle can be track with the help of R.F. receiver. A DTMF based fuel lock has been attached in this system. A cell phone with SIM card has been attached with DTMF IC. The fuel flow in the vehicle can be controlled by give a call to this cell phone. This system has been controlled by a microcontroller which can make the system cost effective, low power consumption, effective and reliable. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T14:22:39Z No. of bitstreams: 1 ijimai20163_7_11_pdf_18075.pdf: 802544 bytes, checksum: 8b627fa29f0458fd51cf708e90650d7a (MD5); Made available in DSpace on 2021-04-21T14:22:39Z (GMT). No. of bitstreams: 1 ijimai20163_7_11_pdf_18075.pdf: 802544 bytes, checksum: 8b627fa29f0458fd51cf708e90650d7a (MD5) https://reunir.unir.net/handle/123456789/11232 Spiking Activity of a LIF Neuron in Distributed Delay Framework Kumar Choudhary, Saket; Singh, Karan; Kumar Solanki, Vijender Evolution of membrane potential and spiking activity for a single leaky integrate-and-fire (LIF) neuron in distributed delay framework (DDF) is investigated. DDF provides a mechanism to incorporate memory element in terms of delay (kernel) function into a single neuron models. This investigation includes LIF neuron model with two different kinds of delay kernel functions, namely, gamma distributed delay kernel function and hypo-exponential distributed delay kernel function. Evolution of membrane potential for considered models is studied in terms of stationary state probability distribution (SPD). Stationary state probability distribution of membrane potential (SPDV) for considered neuron models are found asymptotically similar which is Gaussian distributed. In order to investigate the effect of membrane potential delay, rate code scheme for neuronal information processing is applied. Firing rate and Fano-factor for considered neuron models are calculated and standard LIF model is used for comparative study. It is noticed that distributed delay increases the spiking activity of a neuron. Increase in spiking activity of neuron in DDF is larger for hypo-exponential distributed delay function than gamma distributed delay function. Moreover, in case of hypo-exponential delay function, a LIF neuron generates spikes with Fano-factor less than 1. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T14:16:57Z No. of bitstreams: 1 ijimai20163_7_10_pdf_21051.pdf: 1315867 bytes, checksum: fb6aaf06642d190b25dfd2c65ed94ea3 (MD5); Made available in DSpace on 2021-04-21T14:16:57Z (GMT). No. of bitstreams: 1 ijimai20163_7_10_pdf_21051.pdf: 1315867 bytes, checksum: fb6aaf06642d190b25dfd2c65ed94ea3 (MD5) https://reunir.unir.net/handle/123456789/11231 Human Activity Recognition in Real-Times Environments using Skeleton Joints Kumar, Ajay; Kumar, Anil; Kumar Singh, Satish; Kala, Rahul In this research work, we proposed a most effective noble approach for Human activity recognition in real-time environments. We recognize several distinct dynamic human activity actions using kinect. A 3D skeleton data is processed from real-time video gesture to sequence of frames and getter skeleton joints (Energy Joints, orientation, rotations of joint angles) from selected setof frames. We are using joint angle and orientations, rotations information from Kinect therefore less computation required. However, after extracting the set of frames we implemented several classification techniques Principal Component Analysis (PCA) with several distance based classifiers and Artificial Neural Network (ANN) respectively with some variants for classify our all different gesture models. However, we conclude that use very less number of frame (10-15%) for train our system efficiently from the entire set of gesture frames. Moreover, after successfully completion of our classification methods we clinch an excellent overall accuracy 94%, 96% and 98% respectively. We finally observe that our proposed system is more useful than comparing to other existing system, therefore our model is best suitable for real-time application such as in video games for player action/gesture recognition. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T14:09:54Z No. of bitstreams: 1 ijimai20163_7_9_pdf_20470.pdf: 1379754 bytes, checksum: ab6eac94c29a79337157250a26aaac90 (MD5); Made available in DSpace on 2021-04-21T14:09:54Z (GMT). No. of bitstreams: 1 ijimai20163_7_9_pdf_20470.pdf: 1379754 bytes, checksum: ab6eac94c29a79337157250a26aaac90 (MD5) https://reunir.unir.net/handle/123456789/11229 Uncertainty Model For Quantitative Precipitation Estimation Using Weather Radars Gómez Vargas, A. Ernesto; Obregón N., Nelson; Álvarez Pomar, C. Lindsay This paper introduces an uncertainty model for the quantitatively estimate precipitation using weather radars. The model considers various key aspects associated to radar calibration, attenuation, and the tradeoff between accuracy and radar coverage. An S-band-radar case study is presented to illustrate particular fractional-uncertainty calculations obtained to adjust various typical radar-calibration elements such as antenna, transmitter, receiver, and some other general elements included in the radar equation. This paper is based in “Guide to the expression of Uncertainty in measurement” [1] and the results show that the fractional uncertainty calculated by the model was 40 % for the reflectivity and 30% for the precipitation using the Marshall Palmer Z-R relationship. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T14:03:15Z No. of bitstreams: 1 ijimai20163_7_8_pdf_38293.pdf: 9330025 bytes, checksum: a37e62275a5154b9111a93edf0936a4f (MD5); Made available in DSpace on 2021-04-21T14:03:15Z (GMT). No. of bitstreams: 1 ijimai20163_7_8_pdf_38293.pdf: 9330025 bytes, checksum: a37e62275a5154b9111a93edf0936a4f (MD5) https://reunir.unir.net/handle/123456789/11228 Design Methodology for Self-organized Mobile Networks Based Anzola, John; Bolaños Castro, Sandro Javier; Tarazona Bermúdez, Giovanny Mauricio The methodology proposed in this article enables a systematic design of routing algorithms based on schemes of biclustering, which allows you to respond with timely techniques, clustering heuristics proposed by a researcher, and a focused approach to routing in the choice of clusterhead nodes. This process uses heuristics aimed at improving the different costs in communication surface groups called biclusters. This methodology globally enables a variety of techniques and heuristics of clustering that have been addressed in routing algorithms, but we have not explored all possible alternatives and their different assessments. Therefore, the methodology oriented design research of routing algorithms based on biclustering schemes will allow new concepts of evolutionary routing along with the ability to adapt the topological changes that occur in self-organized data networks. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T13:55:35Z No. of bitstreams: 1 ijimai20163_7_7_pdf_10406.pdf: 1445296 bytes, checksum: d04da4743687f67d9c83712bd03bcf69 (MD5); Made available in DSpace on 2021-04-21T13:55:35Z (GMT). No. of bitstreams: 1 ijimai20163_7_7_pdf_10406.pdf: 1445296 bytes, checksum: d04da4743687f67d9c83712bd03bcf69 (MD5) https://reunir.unir.net/handle/123456789/11227 Comparative Study of Clustering Algorithms in Text Mining Context JALIL, Abdennour Mohamed; HAFIDI, Imad; ALAMI, Lamiae; ENSA, Khouribga The spectacular increasing of Data is due to the appearance of networks and smartphones. Amount 42% of world population using internet [1]; have created a problem related of the processing of the data exchanged, which is rising exponentially and that should be automatically treated. This paper presents a classical process of knowledge discovery databases, in order to treat textual data. This process is divided into three parts: preprocessing, processing and postprocessing. In the processing step, we present a comparative study between several clustering algorithms such as KMeans, Global KMeans, Fast Global KMeans, Two Level KMeans and FWKmeans. The comparison between these algorithms is made on real textual data from the web using RSS feeds. Experimental results identified two problems: the first one quality results which remain for algorithms, which rapidly converge. The second problem is due to the execution time that needs to decrease for some algorithms. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T13:50:44Z No. of bitstreams: 1 ijimai20163_7_6_pdf_27159.pdf: 2390043 bytes, checksum: 8617cf316deab2187e36bf96ca08d1b7 (MD5); Made available in DSpace on 2021-04-21T13:50:44Z (GMT). No. of bitstreams: 1 ijimai20163_7_6_pdf_27159.pdf: 2390043 bytes, checksum: 8617cf316deab2187e36bf96ca08d1b7 (MD5) https://reunir.unir.net/handle/123456789/11225 Linear Temporal Logic-based Mission Planning Kumar, Anil; Kala, Rahul In this paper, we describe the Linear Temporal Logic-based reactive motion planning. We address the problem of motion planning for mobile robots, wherein the goal specification of planning is given in complex environments. The desired task specification may consist of complex behaviors of the robot, including specifications for environment constraints, need of task optimality, obstacle avoidance, rescue specifications, surveillance specifications, safety specifications, etc. We use Linear Temporal Logic to give a representation for such complex task specification and constraints. The specifications are used by a verification engine to judge the feasibility and suitability of plans. The planner gives a motion strategy as output. Finally a controller is used to generate the desired trajectory to achieve such a goal. The approach is tested using simulations on the LTLMoP mission planning tool, operating over the Robot Operating System. Simulation results generated using high level planners and low level controllers work simultaneously for mission planning and controlling the physical behavior of the robot. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T13:42:09Z No. of bitstreams: 1 ijimai20163_7_5_pdf_16569.pdf: 9919883 bytes, checksum: 52531a5b73c0e5d02a08a6101e72c8b5 (MD5); Made available in DSpace on 2021-04-21T13:42:09Z (GMT). No. of bitstreams: 1 ijimai20163_7_5_pdf_16569.pdf: 9919883 bytes, checksum: 52531a5b73c0e5d02a08a6101e72c8b5 (MD5) https://reunir.unir.net/handle/123456789/11222 The Silver Lining Methodology Castillo Chamorro, José Miguel The way in which Strategic planning is designed is different depending on the organization. For that reason, no standard procedures can be given to develop Strategic planning. However, the scenarios analysis method is used in any field or organization. We could define a scenario as a set of variables or events that describes a future situation. Additionally, the continuous irruption of new technologies invites us to carry out a revision of the old methodologies and procedures with the intention of starting an innovation process to make them more efficient. The challenge presented in this article consists of the use of the agents technology within a new methodological approach to envision future possible scenarios more quickly and more accurately than the classical methods we currently use. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T12:01:47Z No. of bitstreams: 1 ijimai20163_7_4_pdf_36802.pdf: 822662 bytes, checksum: 72681da991ac08f9ec1edeb702004029 (MD5); Made available in DSpace on 2021-04-21T12:01:47Z (GMT). No. of bitstreams: 1 ijimai20163_7_4_pdf_36802.pdf: 822662 bytes, checksum: 72681da991ac08f9ec1edeb702004029 (MD5) https://reunir.unir.net/handle/123456789/11221 Query Migration from Object Oriented World to Semantic World SOUSSI, Nassima; BAHAJ, Mohamed — In the last decades, object-oriented approach was able to take a large share of databases market aiming to design and implement structured and reusable software through the composition of independent elements in order to have programs with a high performance. On the other hand, the mass of information stored in the web is increasing day after day with a vertiginous speed, exposing the currently web faced with the problem of creating a bridge so as to facilitate access to data between different applications and systems as well as to look for relevant and exact information wished by users. In addition, all existing approach of rewriting object oriented languages to SPARQL language rely on models transformation process to guarantee this mapping. All the previous raisons has prompted us to write this paper in order to bridge an important gap between these two heterogeneous worlds (object oriented and semantic web world) by proposing the first provably semantics preserving OQLto-SPARQL translation algorithm for each element of OQL Query (SELECT clause, FROM clause, FILTER constraint, implicit/ explicit join and union/intersection SELECT queries). Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T11:55:24Z No. of bitstreams: 1 ijimai20163_7_3_pdf_20232.pdf: 479196 bytes, checksum: 690ea97178136a909e868a0bb9aec212 (MD5); Made available in DSpace on 2021-04-21T11:55:24Z (GMT). No. of bitstreams: 1 ijimai20163_7_3_pdf_20232.pdf: 479196 bytes, checksum: 690ea97178136a909e868a0bb9aec212 (MD5) https://reunir.unir.net/handle/123456789/11220 A New Protection for Android Applications ER-RAJY, Latifa; El kiram, My Ahmed Today, Smartphones are very powerful, and many of its applications use wireless multimedia communications. Prevention from the external dangers (threats) has become a big concern for the experts these days. Android security has become a very important issue because of the free application it provides and the feature which make it very easy for anyone to develop and published it on Play store. Some work has already been done on the android security model, including several analyses of the model and frameworks aimed at enforcing security standards. In this article, we introduce a tool called PermisSecure that is able to perform both static and dynamic analysis on Android programs to automatically detect suspicious applications that request unnecessary or dangerous permissions. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T11:51:03Z No. of bitstreams: 1 ijimai20163_7_2_pdf_15309.pdf: 484497 bytes, checksum: 885e61b8d1cd487fa3f8e64f937f726b (MD5); Made available in DSpace on 2021-04-21T11:51:03Z (GMT). No. of bitstreams: 1 ijimai20163_7_2_pdf_15309.pdf: 484497 bytes, checksum: 885e61b8d1cd487fa3f8e64f937f726b (MD5) https://reunir.unir.net/handle/123456789/11219 SVM and ANN Based Classification of Plant Diseases Using Feature Reduction Technique D. Pujari, Jagadeesh; Yakkundimath, Rajesh; Syedhusain Byadgi, Abdulmunaf Computers have been used for mechanization and automation in different applications of agriculture/horticulture. The critical decision on the agricultural yield and plant protection is done with the development of expert system (decision support system) using computer vision techniques. One of the areas considered in the present work is the processing of images of plant diseases affecting agriculture/horticulture crops. The first symptoms of plant disease have to be correctly detected, identified, and quantified in the initial stages. The color and texture features have been used in order to work with the sample images of plant diseases. Algorithms for extraction of color and texture features have been developed, which are in turn used to train support vector machine (SVM) and artificial neural network (ANN) classifiers. The study has presented a reduced feature set based approach for recognition and classification of images of plant diseases. The results reveal that SVM classifier is more suitable for identification and classification of plant diseases affecting agriculture/horticulture crops. Submitted by Ana María Ampudia Alonso (ana.ampudia@unir.net) on 2021-04-21T11:43:40Z No. of bitstreams: 1 ijimai20163_7_1_pdf_75740.pdf: 1496497 bytes, checksum: ae2e63598f787536f9bb2bdebb0aea7f (MD5); Made available in DSpace on 2021-04-21T11:43:40Z (GMT). No. of bitstreams: 1 ijimai20163_7_1_pdf_75740.pdf: 1496497 bytes, checksum: ae2e63598f787536f9bb2bdebb0aea7f (MD5)