http://hdl.handle.net/10366/137930 Fri, 24 Apr 2026 05:50:28 GMT 2026-04-24T05:50:28Z http://hdl.handle.net/10366/137948 This work analyzes incidents of information technology and communications in the sphere of freedoms beginning with social contemporaneous changes.  Later it will analyze the problems with chat and young people in the environment of parental education in the new technologies.  Likewise, you can observe the importance of the legislation trying to protect kids, young people, and adolescents in their freedom, integrity and sexual development that can be made vulnerable by cyber criminals that look through different portals of the internet, to trick this special class of our population that must be protected constitutionally and criminally. Looking at this cyberspace framework that has revolutionized the world; and to be someone who uses it daily, it is of vital importance to have special care with children in respect to the use of this type of advanced technological tool, the role that parents, tutors, and society play is of great importance such that, they should grant space spaces where the youth can be guarded or guided to prevention so they don’t become victimized by cyber-crime.  Also one of our points will speak of the risks associated with the web,  INFOethics, parental education, and especially the general situation with regards to legislation in Colombia and Peru, as it is urgent that both countries take established  and preventative measures with regards to the criminal law of each state, due to the vulnerable intimacy of social networks,  and therefore because what is most being affected is the youth,  which gravely affects their psychosomatic and social development, because there does not exist a correct or suitable use for cyberspace.   Tue, 19 Dec 2017 00:00:00 GMT http://hdl.handle.net/10366/137948 2017-12-19T00:00:00Z http://hdl.handle.net/10366/137947 Anticipating failures in agent plan execution is important to enable an agent to develop strategies to avoid or circumvent such failures, allowing the agent to achieve its goal.  Plan recognition can be used to infer which plans are being executed from observations of sequences of activities being performed by an agent. In this work, we use this symbolic plan recognition algorithm to find out which plan the agent is performing and develop a failure prediction system, based on plan library information and in a simplified calendar that manages the goals the agent has to achieve. This failure predictor is able to monitor the sequence of agent actions and detects if an action is taking too long or does not match the plan that the agent was expected to perform. We showcase this approach successfully in a health-care prototype system. Sat, 09 Dec 2017 00:00:00 GMT http://hdl.handle.net/10366/137947 2017-12-09T00:00:00Z http://hdl.handle.net/10366/137946 Software Engineering (SE) is an area that intends to build high-quality software in a systematic way. However, traditional software engineering techniques and methods do not support the demand for developing Multiagent Systems (MAS). Therefore a new subarea has been studied, called Agent Oriented Software Engineering (AOSE). The AOSE area proposes solutions to specific issues related to the development of agent oriented systems. There are several methodologies to model MAS, however, until now, there is not a standard modelling language because they are very complex systems, and involve several different concepts. Another issue of this subarea is that there are very few tools that are able to automatically generate code, reducing its acceptance in the software development market. In this work, we propose a tool to support the Prometheus AEOlus Methodology, because it provides modelling artifacts to all MAS dimensions proposed by ~Demazeau: agents, environment, interactions and organization. The tool supports all Prometheus AEOlus artifacts and it can automatically generated code to the agent and interaction dimensions in the AgentSpeak(L) language, which is the language used in the Jason platform. We have done some validations with the proposed tool and a case study is presented. Our results indicate that our tool has full compatibility with the Jason platform, and it is able to automatic generate code in AgentSpeak(L). As future work, we intend to develop the integration of the artifacts with the JaCaMo framework, enabling a full integration between our tool and the Prometheus AEOlus methodology. Sat, 09 Dec 2017 00:00:00 GMT http://hdl.handle.net/10366/137946 2017-12-09T00:00:00Z http://hdl.handle.net/10366/137945 The Internet of Things (IoT) has opened up a new era of computing where by every imaginable object is equipped with, or connected to a smart device allowing data collection and communication through the Internet. The IoT challenges individual privacy in terms of the collection and use of individuals’ personal data. This study assesses the extent to which the IoT has an adverse effects on Indian Society.  A review of various policies and laws formulated and enacted by the Govt. Of India where taken into account and various conclusions were derived based on the analyzed facts. Findings indicate that (1) the Indian policies and Laws pertaining to IoT and cyber issues are not enough to provide stiff opposition to the current pretext of fear and mishappenings and (2) future legislations must consider the implications of global reach of IoT services with respect to its citizen’s well-being. Sat, 09 Dec 2017 00:00:00 GMT http://hdl.handle.net/10366/137945 2017-12-09T00:00:00Z http://hdl.handle.net/10366/137943  The textile industry is characterized by the economic activity whose objective is the production of fibres, yarns, fabrics, clothing and textile goods for home and decoration, as well as technical and industrial purposes. Within manufacturing, the Textile is one of the oldest and most complex sectors which includes a large number of sub-sectors covering the entire production cycle, from raw materials and intermediate products, to the production of final products. Textile industry activities present different subdivisions,each with its own traits. The length of the textile process and the variety of its technicalprocesses lead to the coexistence of different sub-sectors in regards to their business structure and integration. The textile industry is developing expert systems applicationsto increase production, improve quality and reduce costs. The analysis of textile designs or structures includes the use of mathematical models to simulate the behavior of the textile structures (yarns, fabrics and knitting). The Finite Element Method (FEM) has largely facilitated the prediction of the behavior of that textile structure under mechanical loads. For classification problems Artificial Neural Networks (ANNs) have proved to be a very effective tool as a quick and accurate solution. The Case-Based Reasoning (CBR) method proposed in this study complements the results of the finite element simulation, mathematical modeling and neural networks methods. Mon, 06 Nov 2017 00:00:00 GMT http://hdl.handle.net/10366/137943 2017-11-06T00:00:00Z http://hdl.handle.net/10366/137944 Face recognition is an important biometric method because of its potential applications in many fields, such as access control and surveillance. In this paper, the performance of the individual channels from the YCBCR color space on face recognition for surveillance applications is investigated and compared with the performance of the gray scale. In addition, the performance of fusing two or more color channels is also compared with that of the gray scale. Three cases with different number of training images per persons were used as a test bed. It was found out that, the gray scale always outperforms the individual channel. However, the fusion of CBxCR with any other channel outperforms the gray scale when three images of the same class from the same database are used for training. Regardless of the cases used, the CBxCR channel always gave the best performance for the individual color channels. It was found that, in general, increasing the number of fused channels increases the performance of the system. It was also found that the gray scale channel is the better choice for face recognition since it contain better quality edges and visual features which are essential for face recognition. Mon, 06 Nov 2017 00:00:00 GMT http://hdl.handle.net/10366/137944 2017-11-06T00:00:00Z http://hdl.handle.net/10366/137942 The process of searching for a parking spot could be a problem. There are computing solutions being developed to optimize this problem. One of these solutions is using multiagent systems (MAS). In this paper a MAS is developed in order to allocate spots in a smart parking using the framework JaCaMo. This MAS comprises of two types of agents: manager and drivers. The manager is responsible to administrate the parking spots which will be assigned for drivers according to a corresponding degree of trust. The trust degree is a value which shows the commitment of the driver before the manager. In order to verify the effectiveness of the MAS, several simulations were conducted in empirical scenarios. Experiments shows that the trust degree impacts in the parking spot allocation process. Mon, 06 Nov 2017 00:00:00 GMT http://hdl.handle.net/10366/137942 2017-11-06T00:00:00Z http://hdl.handle.net/10366/137941 Sun, 31 Dec 2017 00:00:00 GMT http://hdl.handle.net/10366/137941 2017-12-31T00:00:00Z http://hdl.handle.net/10366/137940 Sun, 31 Dec 2017 00:00:00 GMT http://hdl.handle.net/10366/137940 2017-12-31T00:00:00Z