Implementation of Chinese Folklore Virtual Content Using an Expert System

The COVID-19 pandemic has led to increased use of information technology in all community activities, especially in the field of education. One technology used for learning is the virtual laboratory with online learning media. The use of virtual laboratories in Revolution 4.0 was very effective, especially in the current COVID-19 pandemic. Usually, virtual laboratories do not provide feedback to users, especially on how to develop their skills. This study developed a virtual laboratory with personalized Chinese folklore content using artificial intelligence. The ability and willingness of the user are processed by artificial intelligence to determine the model, media and material that the user wants. When tested, this virtual laboratory’s personalization methods obtained an accuracy value of 89.2% according to the users. Keywords: virtual content, Chinese folklore, expert syste

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Este proyecto tiene como actividad asociada la comparación de los resultados de simulaciones de dos herramientas que emplean el método estadístico de Monte Carlo para determinar posibles interferencias en sistemas de acceso inalámbrico móvil, teniendo en cuenta los parámetros técnicos para el funcionamiento del internet de las cosas (IoT), debido a que actualmente en Colombia no existen normas, reglas o recomendaciones que regulen las crecientes nuevas opciones de interconexión para dispositivos que incluyen sensores y actuadores, y existe una creciente masificación de los puntos de acceso a internet para la interconexión digital de objetos por medio de radiocomunicaciones; para ello se tendrá en cuenta las recomendaciones de la UIT en particular con la Resolución UIT-R 66, UIT-R 250-1/5 y la UIT-R SM. 2028-1.This project has as an associated activity the comparison of the results of simulations of two tools that use the Monte Carlo statistical method to determine possible interferences in mobile wireless access systems, taking into account the technical parameters for the operation of the internet of things ( IoT), because currently in Colombia there are no rules, regulations or recommendations that regulate the growing new interconnection options for devices that include sensors and actuators, and there is a growing mass of internet access points for the digital interconnection of objects by means of radio communications; this will take into account the recommendations of the ITU in particular with Resolution ITU-R 66, ITU-R 250-1 / 5 and ITU-R SM. 2028-1

A Migration Path from GSM to GSM/GPRS

The General Packet Radio service (GPRS) is a new non-voice (data) value added service that allows information to be sent and received across a mobile telephone networks. GPRS has evolved to cater to the mobile users by enabling them to access the internet world incessantly. It will provide a massive boost to mobile data communication. The aim of this thesis is to setup a migration path from GSM to GSM/GPRS service (2.5G). The focus is on real world migration plan that can be implemented on the existing infrastructure of MobiTel-Sudan network. The plan can be implemented into three phases, phase1 is to implement the GPRS in the center of Khartoum in which we focus, phase 2 in centre of Khartoum north and Omdurman, phase three is in the rest of Sudan. The plan takes into considerations economical factors as well as technical aspects. The migration path from GSM to GPRS requires additional packet switching nodes, software upgrade in the base station subsystem (BSS) and Core network. In phase1 we choose BSC3, BSC6 and MSC3/VLR3 which cover the center of Khartoum and located in Dar Elhatif to be connected with the SGSN and GGSN. As the mobility management plays a significant role in the GPRS such as routing area updates we suppose that BSC3&6 connected with SGSN will be in two routing area in Phase1 to avoid inter SGSN routing area updates, however in the following phases different forms of user mobility and their effects on the communication traffic can be will planned. The traffic in Erlang and hardware has been calculated from the traffic and hardware dimension reports of the network to accommodate the GPRS in these nodes. We use Ericsson SGSN, GGSN, and their specifications to be implemented in this phase In addition to access server and firewalls

Compensating for model uncertainty in the control of cooperative field robots

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2002.Includes bibliographical references (p. 113-123).Current control and planning algorithms are largely unsuitable for mobile robots in unstructured field environment due to uncertainties in the environment, task, robot models and sensors. A key problem is that it is often difficult to directly measure key information required for the control of interacting cooperative mobile robots. The objective of this research is to develop algorithms that can compensate for these uncertainties and limitations. The proposed approach is to develop physics-based information gathering models that fuse available sensor data with predictive models that can be used in lieu of missing sensory information. First, the dynamic parameters of the physical models of mobile field robots may not be well known. A new information-based performance metric for on-line dynamic parameter identification of a multi-body system is presented. The metric is used in an algorithm to optimally regulate the external excitation required by the dynamic system identification process. Next, an algorithm based on iterative sensor planning and sensor redundancy is presented to enable field robots to efficiently build 3D models of their environment. The algorithm uses the measured scene information to find new camera poses based on information content. Next, an algorithm is presented to enable field robots to efficiently position their cameras with respect to the task/target. The algorithm uses the environment model, the task/target model, the measured scene information and camera models to find optimum camera poses for vision guided tasks. Finally, the above algorithms are combined to compensate for uncertainties in the environment, task, robot models and sensors. This is applied to a cooperative robot assembly task in an unstructured environment.(cont.) Simulations and experimental results are presented that demonstrate the effectiveness of the above algorithms on a cooperative robot test-bed.by Vivek Anand Sujan.Ph.D