https://reunir.unir.net/handle/123456789/10014 Thu, 14 Nov 2024 20:31:28 GMT 2024-11-14T20:31:28Z https://reunir.unir.net/handle/123456789/10153 An Architecture Approach for 3D Render Distribution using Mobile Devices in Real Time Bolívar, Holman; Velandia, John Alexande; Torres, Jenny Natalia; Giménez de Ory, Elena Nowadays, video games such as Massively Multiplayer Online Game (MMOG) have become cultural mediators. Mobile games contribute to a large number of downloads and potential benefits in the applications market. Although processing power of mobile devices increases the bandwidth transmission, a poor network connectivity may bottleneck Gaming as a Service (GaaS). In order to enhance performance in digital ecosystem, processing tasks are distributed among thin client devices and robust servers. This research is based on the method ‘divide and rule’, that is, volumetric surfaces are subdivided using a tree-KD of sequence of scenes in a game, so reducing the surface into small sets of points. Reconstruction efficiency is improved, because the search of data is performed in local and small regions. Processes are modeled through a finite set of states that are built using Hidden Markov Models with domains configured by heuristics. Six test that control the states of each heuristic, including the number of intervals are carried out to validate the proposed model. This validation concludes that the proposed model optimizes response frames per second, in a sequence of interactions. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2020-06-08T12:01:23Z No. of bitstreams: 1 ijimai20153_3_7_pdf_27908.pdf: 1211301 bytes, checksum: c0f674f00e028f9905dda6ba2f18079a (MD5); Made available in DSpace on 2020-06-08T12:01:23Z (GMT). No. of bitstreams: 1 ijimai20153_3_7_pdf_27908.pdf: 1211301 bytes, checksum: c0f674f00e028f9905dda6ba2f18079a (MD5) https://reunir.unir.net/handle/123456789/10153 https://reunir.unir.net/handle/123456789/10152 The Use of Genetic Algorithms in UV Disinfection of Drinking Water Zaldaña, Hugo R.; Castañeda, Emerson In order to have drinking water, some countries have to use chlorine. It is use cause is effective and it’s cheap. An alternative to this process is the UV disinfection of drinking water. Most of the devices in the market use UV bulbs or mercury lamps. The UV LED, which is cheaper and smaller, allows creating new smaller devices. The main contribution of this paper is the use of Genetic Algorithms to help design a drinking water device with UV LEDs. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2020-06-08T10:00:24Z No. of bitstreams: 1 ijimai20153_3_5_pdf_13955.pdf: 761367 bytes, checksum: e0ff2e4f15f21eab5a01b3b5af704888 (MD5); Made available in DSpace on 2020-06-08T10:00:24Z (GMT). No. of bitstreams: 1 ijimai20153_3_5_pdf_13955.pdf: 761367 bytes, checksum: e0ff2e4f15f21eab5a01b3b5af704888 (MD5) https://reunir.unir.net/handle/123456789/10152 https://reunir.unir.net/handle/123456789/10151 OpinAIS: An Artificial Immune System-based Framework for Opinion Mining Baldominos, Alejandro; Luis Mingueza, Nerea; García del Pozo, Mª Cristina This paper proposes the design of an evolutionary algorithm for building classifiers specifically aimed towards performing classification and sentiment analysis over texts. Moreover, it has properties taken from Artificial Immune Systems, as it tries to resemble biological systems since they are able to discriminate harmful from innocuous bodies (in this case, the analogy could be established with negative and positive texts respectively). A framework, namely OpinAIS, is developed around the evolutionary algorithm, which makes it possible to distribute it as an open-source tool, which enables the scientific community both to extend it and improve it. The framework is evaluated with two different public datasets, the first involving voting records for the US Congress and the second consisting in a Twitter corpus with tweets about different technology brands, which can be polarized either towards positive or negative feelings; comparing the results with alternative machine learning techniques and concluding with encouraging results. Additionally, as the framework is publicly available for download, researchers can replicate the experiments from this paper or propose new ones. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2020-06-08T07:52:04Z No. of bitstreams: 1 ijimai20153_3_3_pdf_25958.pdf: 736708 bytes, checksum: dd6aa7fabf8fe7072ca349ba0352ebcc (MD5); Made available in DSpace on 2020-06-08T07:52:04Z (GMT). No. of bitstreams: 1 ijimai20153_3_3_pdf_25958.pdf: 736708 bytes, checksum: dd6aa7fabf8fe7072ca349ba0352ebcc (MD5) https://reunir.unir.net/handle/123456789/10151 https://reunir.unir.net/handle/123456789/10147 Using Local Grammar for Entity Extraction from Clinical Reports Ghoulam, Aicha; Barigou, Fatiha; Belalem, Ghalem; Meziane, Farid Information Extraction (IE) is a natural language processing (NLP) task whose aim is to analyze texts written in natural language to extract structured and useful information such as named entities and semantic relations linking these entities. Information extraction is an important task for many applications such as bio-medical literature mining, customer care, community websites, and personal information management. The increasing information available in patient clinical reports is difficult to access. As it is often in an unstructured text form, doctors need tools to enable them access to this information and the ability to search it. Hence, a system for extracting this information in a structured form can benefits healthcare professionals. The work presented in this paper uses a local grammar approach to extract medical named entities from French patient clinical reports. Experimental results show that the proposed approach achieved an F-Measure of 90. 06%. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2020-06-05T11:34:13Z No. of bitstreams: 1 ijimai20153_3_2_pdf_97545.pdf: 1023272 bytes, checksum: 30de4da55f4613acdd2fd10922479c81 (MD5); Made available in DSpace on 2020-06-05T11:34:13Z (GMT). No. of bitstreams: 1 ijimai20153_3_2_pdf_97545.pdf: 1023272 bytes, checksum: 30de4da55f4613acdd2fd10922479c81 (MD5) https://reunir.unir.net/handle/123456789/10147 https://reunir.unir.net/handle/123456789/10146 A 3D Visual Interface for Critiquing-based Recommenders: Architecture and Interaction Contreras, David; Salamó, Maria; Rodríguez, Inmaculada; Puig, Anna Nowadays e-commerce websites offer users such a huge amount of products, which far from facilitating the buying process, actually make it more difficult. Hence, recommenders, which learn from users’ preferences, are consolidating as valuable instruments to enhance the buying process in the 2D Web. Indeed, 3D virtual environments are an alternative interface for recommenders. They provide the user with an immersive 3D social experience, enabling a richer visualisation and increasing the interaction possibilities with other users and with the recommender. In this paper, we focus on a novel framework to tightly integrate interactive recommendation systems in a 3D virtual environment. Specifically, we propose to integrate a Collaborative Conversational Recommender (CCR) in a 3D social virtual world. Our CCR Framework defines three layers: the user interaction layer (3D Collaborative Space Client), the communication layer (3D Collaborative Space Server), and the recommendation layer (Collaborative Conversational Recommender). Additionally, we evaluate the framework based on several usability criteria such as learnability, perceived efficiency and effectiveness. Results demonstrate that users positively valued the experience. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2020-06-05T10:42:43Z No. of bitstreams: 1 ijimai20153_3_1_pdf_15723.pdf: 841284 bytes, checksum: 407c808f63e2be8f29f55d3758102331 (MD5); Made available in DSpace on 2020-06-05T10:42:43Z (GMT). No. of bitstreams: 1 ijimai20153_3_1_pdf_15723.pdf: 841284 bytes, checksum: 407c808f63e2be8f29f55d3758102331 (MD5) https://reunir.unir.net/handle/123456789/10146 https://reunir.unir.net/handle/123456789/10086 Recognizing Human Activities Based on Wearable Inertial Measurements - Methods and Applications Siirtola, Pekka On April 10 of 2015 Pekka Siirtola defended his PhD thesis, called “Recognizing Human Activities Based on Wearable Inertial Measurements - Methods and Applications” [1]. The thesis was supervised by Professor Juha Röning and pre-eximined by Associate Professors Ulf Johansson from University of Borås, Sweden, and Daniel Roggen from University of Sussex, United Kingdom. Pekka Siirtola successfully defended his thesis against his opponent Professor Barbara Hammer from University of Bielefeld, Germany. This publicly open defence was held in Auditorium TS101 at University of Oulu, Finland. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2020-05-21T11:47:17Z No. of bitstreams: 1 ijimai20153_3_6_pdf_11970.pdf: 268079 bytes, checksum: 0508e6396dda7e74e61f6982cdda853f (MD5); Made available in DSpace on 2020-05-21T11:47:17Z (GMT). No. of bitstreams: 1 ijimai20153_3_6_pdf_11970.pdf: 268079 bytes, checksum: 0508e6396dda7e74e61f6982cdda853f (MD5) https://reunir.unir.net/handle/123456789/10086 https://reunir.unir.net/handle/123456789/10019 Variation of the Heartbeat and Activity as an Indicator of Drowsiness at the Wheel Using a Smartwatch Ríos Aguilar, Sergio; Miguel Merino, José Luis; Millán Sánchez, Andrés; Sánchez Valdivieso, Álvaro Sleepiness is one of the first causal factors of accidents. An estimated 10-30% of road deaths are related to fatigue driving. A large number of research studies have been conducted to reduce the risk of accidents while driving. Many of these studies are based on the detection of biological signals by drowsiness/sleepiness. The activity of the autonomic nervous system (ANS) presented alterations during different physical states such as stress or sleepiness. This activity is measured by ECG (electroencephalogram) and, in different studies, it can be measured with the variation of the heart beat (HRV-Heart Rate Variability) in order to analyze it and then detect drowsiness/sleepiness in drivers. The main advantage is that HRV can be performed using non invasive and uncomfortable means compared to EEG sensors. New Wearables technologies are capable of measuring the heart beat and, further, using other sensors like Accelerometer and Gyroscope, embedded on a simple clock allow us to monitor the physical activity of the user. Our main goal is to use the pulsations measurements in conjunction with the physical activity for the detection of driver drowsiness/sleepiness in advance in order to prevent accidents derived from fatigue. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2020-04-30T11:31:17Z No. of bitstreams: 1 ijimai20153_3_13_pdf_21406.pdf: 567666 bytes, checksum: fac1a68cde22feccadb1b94f23869944 (MD5); Made available in DSpace on 2020-04-30T11:31:17Z (GMT). No. of bitstreams: 1 ijimai20153_3_13_pdf_21406.pdf: 567666 bytes, checksum: fac1a68cde22feccadb1b94f23869944 (MD5) https://reunir.unir.net/handle/123456789/10019 https://reunir.unir.net/handle/123456789/10018 Formalization of Event Perception and Event Appraisal Process Jain, Shikha; Asawa, Krishna Integration of emotion in a virtual agent is a topic of research to depict human-like behavior in a simulated environment. For the last few decades, many researchers are working in the field of incorporating emotions in a virtual agent. In the emotion model, the behavior of an agent depends upon how the event is perceived by the agent with respect to the goal. Hence, perception of the event while considering the past experience, importance of event towards achieving goal, agent’s own capabilities and resources is an important process which directly influences the decision making and action selection. The proposed models, till date, are either too complex to adapt or are using a very few parameters to describe the event. So, in this paper, we propose an extension of perception process in an existing emotion model, EMIA and suggest the formalization of event perception and appraisal processes to make it adaptable. This has been carried out using five parameters for event description along-with fuzzy logic which makes the process more effective yet simple. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2020-04-30T08:49:57Z No. of bitstreams: 1 ijimai20153_3_9_pdf_30653.pdf: 530833 bytes, checksum: b7af708588dc8ebbd79b4b466e1e9daa (MD5); Made available in DSpace on 2020-04-30T08:49:57Z (GMT). No. of bitstreams: 1 ijimai20153_3_9_pdf_30653.pdf: 530833 bytes, checksum: b7af708588dc8ebbd79b4b466e1e9daa (MD5) https://reunir.unir.net/handle/123456789/10018 https://reunir.unir.net/handle/123456789/10017 Security Framework for Agent-Based Cloud Computing Venkateshwaran, K.; Malviya, Anu; Dikshit, Utkarsha; Venkatesan, S. Agent can play a key role in bringing suitable cloud services to the customer based on their requirements. In agent based cloud computing, agent does negotiation, coordination, cooperation and collaboration on behalf of the customer to make the decisions in efficient manner. However the agent based cloud computing have some security issues like (a.) addition of malicious agent in the cloud environment which could demolish the process by attacking other agents, (b.) denial of service by creating flooding attacks on other involved agents. (c.) Some of the exceptions in the agent interaction protocol such as Not-Understood and Cancel_Meta protocol can be misused and may lead to terminating the connection of all the other agents participating in the negotiating services. Also, this paper proposes algorithms to solve these issues to ensure that there will be no intervention of any malicious activities during the agent interaction. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2020-04-30T08:19:40Z No. of bitstreams: 1 ijimai20153_3_4_pdf_21054.pdf: 820069 bytes, checksum: dadeb6f6f5cefb08422a07c3b656c83b (MD5); Made available in DSpace on 2020-04-30T08:19:40Z (GMT). No. of bitstreams: 1 ijimai20153_3_4_pdf_21054.pdf: 820069 bytes, checksum: dadeb6f6f5cefb08422a07c3b656c83b (MD5) https://reunir.unir.net/handle/123456789/10017 https://reunir.unir.net/handle/123456789/10016 Swift vs. Objective-C: A New Programming Language González García, Cristian; Pascual Espada, Jordán; Pelayo García-Bustelo, B. Cristina; Cueva Lovelle, Juan Manuel The appearance of a new programming language gives the necessity to contrast its contribution with the existing programming languages to evaluate the novelties and improvements that the new programming language offers for developers. These kind of studies can show us the efficiency, improvements and useful or uselessness of the new programming languages. Also these studies can show us the good or bad properties of the existing programming languages. For these reasons, these studies allow us to know if the new programming language is offering improvements or relapses. In this article, we compare the new programming language of Apple, Swift, with the main programming language of Apple before Swift, Objective-C. We are going to show the differences, characteristics and novelties to verify the words of Apple about Swift. With that we want to answer the next question: Is Swift a new programming language easier, more secure and quicker to develop than Objective-C? Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2020-04-30T07:33:57Z No. of bitstreams: 1 ijimai20153_3_10_pdf_19818.pdf: 571480 bytes, checksum: 06479916f91cccccf6a804269633ecb4 (MD5); Made available in DSpace on 2020-04-30T07:33:57Z (GMT). No. of bitstreams: 1 ijimai20153_3_10_pdf_19818.pdf: 571480 bytes, checksum: 06479916f91cccccf6a804269633ecb4 (MD5) https://reunir.unir.net/handle/123456789/10016 https://reunir.unir.net/handle/123456789/10015 IJIMAI Editor's Note - Vol. 3 Issue 3 Montenegro-Marin, Carlos Enrique The research works presented in this issue are based on various topics of interest, among which are included: 3D Interface, Information Extraction, Artificial immune system, Security in Cloud Computing, Genetic Algorithm, Activity recognition, 3D Render Distribution, Software visualization, Event Perception, New Programming Language, Distributed computing, MOOC environments, etc. Submitted by Susana Figueroa Navarro (susana.figueroa.n@unir.net) on 2020-04-30T07:03:58Z No. of bitstreams: 1 ijimai20153_3_0_pdf_91265.pdf: 149997 bytes, checksum: 632499a44f9b6aa991aeb8edf13a1a9c (MD5); Made available in DSpace on 2020-04-30T07:03:58Z (GMT). No. of bitstreams: 1 ijimai20153_3_0_pdf_91265.pdf: 149997 bytes, checksum: 632499a44f9b6aa991aeb8edf13a1a9c (MD5) https://reunir.unir.net/handle/123456789/10015 https://reunir.unir.net/handle/123456789/5893 Semi-Automated Correction Tools for Mathematics-Based Exercises in MOOC Environments Corbi, Alberto ; Burgos, Daniel Massive Open Online Courses (MOOCs) allow the participation of hundreds of students who are interested in a wide range of areas. Given the huge attainable enrollment rate, it is almost impossible to suggest complex homework to students and have it carefully corrected and reviewed by a tutor or assistant professor. In this paper, we present a software framework that aims at assisting teachers in MOOCs during correction tasks related to exercises in mathematics and topics with some degree of mathematical content. In this spirit, our proposal might suit not only maths, but also physics and technical subjects. As a test experience, we apply it to 300+ physics homework bulletins from 80+ students. Results show our solution can prove very useful in guiding assistant teachers during correction shifts and is able to mitigate the time devoted to this type of activities. Submitted by Pedro Cotillas (pedro.cotillas@unir.net) on 2017-10-31T11:17:58Z No. of bitstreams: 0; Made available in DSpace on 2017-10-31T11:17:58Z (GMT). No. of bitstreams: 0 https://reunir.unir.net/handle/123456789/5893 https://reunir.unir.net/handle/123456789/5677 SRec and VAST: Visualizing Software with a Student-Centered Aim Almeida-Martínez, Francisco Javier ; Pérez-Carrasco, Antonio This paper reviews software visualization focused on the educational environment. Software visualization is a very wide study field, so we have focused on two areas: recursion visualization and parsers' visualization. The paper contains a retrospective about what has been made on it, what lacks we have found and the solution provided by the authors: SRec and VAST, two software tools trying to make a significant difference between them and the software made before. Submitted by Pedro Cotillas (pedro.cotillas@unir.net) on 2017-10-07T12:06:56Z No. of bitstreams: 0; Made available in DSpace on 2017-10-07T12:06:56Z (GMT). No. of bitstreams: 0 https://reunir.unir.net/handle/123456789/5677 https://reunir.unir.net/handle/123456789/5676 A Quantitative Justification to Dynamic Partial Replication of Web Contents through an Agent Architecture Torres-Franco, Enrique; García, José Daniel; Sanjuán Martínez, Óscar; Joyanes Aguilar, Luis; González-Crespo, Rubén The most usual solution to improve the performance of a Web server is based on building a distributed architecture, where the Web server is offered from a set of nodes. The most widely distributed architecture is based on Web clusters including a Web switch. The Web switch is responsible for deciding which site's node must attend which request. When deciding where elements are stored the classical solution was to fully replicate all contents in every server node. However, partial replication may require a fraction of storage while offering the same level of reliability. In this paper we report a solution based on dynamic partial replication where the number of replicas for each file and its management is handled by an agent architecture. We compare our solution with full replication and with static partial replication both in terms of storage capacity consumption and service time. Our results show that our proposed solution provides equivalent performance with a better use of disk storage capacity. Submitted by Pedro Cotillas (pedro.cotillas@unir.net) on 2017-10-07T12:01:36Z No. of bitstreams: 0; Made available in DSpace on 2017-10-07T12:01:36Z (GMT). No. of bitstreams: 0 https://reunir.unir.net/handle/123456789/5676