982 resultados para SAP BI MOBILE iOS BPC APPLICAZIONE SOFTWARE
Resumo:
Los sistemas y las tecnologías de información son un elemento vital de las organizaciones exitosas. Por eso constituyen un área esencial de estudio en la administración y dirección de un negocio. Actualmente, la investigación sobre la TI y el desempeño de negocios ha descubierto que cuanto más tenga éxito una empresa para alinear la tecnología de la información con sus objetivos de negocios, mayor será su rentabilidad, y solo una cuarta parte de las empresas logran una alineación entre la TI y los negocios (Luffman, 2003) Esta fuerte tendencia ha tenido un auge interesante en compañías colombianas de todos los tamaños y sectores de la economía; por esta razón hemos buscado abordar una compañía colombiana de talla internacional para describir el proceso de implementación de su sistema de gestión de recursos empresariales (ERP) SAP ECC y su integración dentro de General Motors Colmotores; principalmente con el fin de realizar un análisis del uso que la compañía le está dando a los principales módulos y sub-módulos de contabilidad, ventas y compras de SAP. Este proyecto es muy pertinente especialmente para todos aquellos estudiantes e interesados en el uso y aprovechamiento de los sistemas de información de una compañía, por lo cual se sintetizara la experiencia durante su preparación para la implementación, el desarrollo de la misma y los principales resultados, percibidos por los empleados directamente involucrados, los cuales serán abordados por medio de visitas programadas y entrevistas a profundidad; esto facilitara y permitirá evidenciar de cerca la realidad de la compañía General Motors Colmotores con SAP.
Resumo:
Esta propuesta documenta cómo fue el proceso de implementación de SAP en la Universidad del Rosario (UR). Además permite determinar los factores que la definen cómo una implementación exitosa. En esta investigación no tiene en cuenta la implementación de los sistemas de gestión académica, de recursos humanos o e-learning ya que el estudio solo está centrado en el área administrativa. También se estudia el grado de madurez de los sistemas de información de la Universidad, usando el modelo de Luftam validado en el contexto de las tecnologías. La gran pregunta de investigación es: ¿Cómo fue la implementación de SAP en la UR y cómo esto fue una implementación exitosa?
Resumo:
Se resalta que la arquitectura actual de gvSIG Mobile 1.0 es común a la de gvSIG Desktop, lo que permite mejorar el proceso de posibles migraciones de nuevas extensiones entre ambas aplicaciones. Se explica la nueva arquitectura de gvSIG Mobile y se muestran las nuevas funcionalidades desarrolladas
Resumo:
SAP R/3 és un software estàndard de gestió empresarial que engloba tots els processos i activitats d’una companyia i permet el disseny de l’aplicació a les necessitats de l’empresa. Diferents avantatges, com ara disposar d’una base de dades única, han fet escollir aquest sistema a una empresa del sector metal·lúrgic com a eina de gestió: Aquest projecte té com a objecte la implantació de dos dels mòduls que inclou el sistema SAP R/3, concretament el mòdul SD (Sales and Distribution), amb el qual es controlen les vendes de l’empresa, i el mòdul MM (Material Management), mòdul amb el qual es controla tot el que fa referència als materials, la gestió d’estocs i tota la gestió de compres de l’empresa
Resumo:
A recent area for investigation into the development of adaptable robot control is the use of living neuronal networks to control a mobile robot. The so-called Animat paradigm comprises a neuronal network (the ‘brain’) connected to an external embodiment (in this case a mobile robot), facilitating potentially robust, adaptable robot control and increased understanding of neural processes. Sensory input from the robot is provided to the neuronal network via stimulation on a number of electrodes embedded in a specialist Petri dish (Multi Electrode Array (MEA)); accurate control of this stimulation is vital. We present software tools allowing precise, near real-time control of electrical stimulation on MEAs, with fast switching between electrodes and the application of custom stimulus waveforms. These Linux-based tools are compatible with the widely used MEABench data acquisition system. Benefits include rapid stimulus modulation in response to neuronal activity (closed loop) and batch processing of stimulation protocols.
Resumo:
The intelligent controlling mechanism of a typical mobile robot is usually a computer system. Some recent research is ongoing in which biological neurons are being cultured and trained to act as the brain of an interactive real world robot�thereby either completely replacing, or operating in a cooperative fashion with, a computer system. Studying such hybrid systems can provide distinct insights into the operation of biological neural structures, and therefore, such research has immediate medical implications as well as enormous potential in robotics. The main aim of the research is to assess the computational and learning capacity of dissociated cultured neuronal networks. A hybrid system incorporating closed-loop control of a mobile robot by a dissociated culture of neurons has been created. The system is flexible and allows for closed-loop operation, either with hardware robot or its software simulation. The paper provides an overview of the problem area, gives an idea of the breadth of present ongoing research, establises a new system architecture and, as an example, reports on the results of conducted experiments with real-life robots.
Resumo:
This paper presents an application study into the use of a bi-directional link with the human nervous system by means of an implant, positioned through neurosurgery. Various applications are described including the interaction of neural signals with an articulated hand, a group of cooperative autonomous robots and to control the movement of a mobile platform. The microelectrode array implant itself is described in detail. Consideration is given to a wider range of possible robot mechanisms, which could interact with the human nervous system through the same technique.
Resumo:
Pocket Data Mining (PDM) is our new term describing collaborative mining of streaming data in mobile and distributed computing environments. With sheer amounts of data streams are now available for subscription on our smart mobile phones, the potential of using this data for decision making using data stream mining techniques has now been achievable owing to the increasing power of these handheld devices. Wireless communication among these devices using Bluetooth and WiFi technologies has opened the door wide for collaborative mining among the mobile devices within the same range that are running data mining techniques targeting the same application. This paper proposes a new architecture that we have prototyped for realizing the significant applications in this area. We have proposed using mobile software agents in this application for several reasons. Most importantly the autonomic intelligent behaviour of the agent technology has been the driving force for using it in this application. Other efficiency reasons are discussed in details in this paper. Experimental results showing the feasibility of the proposed architecture are presented and discussed.
Resumo:
There is a renewed interest in immersive visualization to navigate digital data-sets associated with large building and infrastructure projects. Following work with a fully immersive visualization facility at the University, this paper details the development of a complementary mobile visualization environment. It articulates progress on the requirements for this facility; the overall design of hardware and software; and the laboratory testing and planning for user pilots in construction applications. Like our fixed facility, this new light-weight mobile solution enables a group of users to navigate a 3D model at a 1:1 scale and to work collaboratively with structured asset information. However it offers greater flexibility as two users can assemble and start using it at a new location within an hour. The solution has been developed and tested in a laboratory and will be piloted in engineering design review and stakeholder engagement applications on a major construction project.
Resumo:
The Mobile Network Optimization (MNO) technologies have advanced at a tremendous pace in recent years. And the Dynamic Network Optimization (DNO) concept emerged years ago, aimed to continuously optimize the network in response to variations in network traffic and conditions. Yet, DNO development is still at its infancy, mainly hindered by a significant bottleneck of the lengthy optimization runtime. This paper identifies parallelism in greedy MNO algorithms and presents an advanced distributed parallel solution. The solution is designed, implemented and applied to real-life projects whose results yield a significant, highly scalable and nearly linear speedup up to 6.9 and 14.5 on distributed 8-core and 16-core systems respectively. Meanwhile, optimization outputs exhibit self-consistency and high precision compared to their sequential counterpart. This is a milestone in realizing the DNO. Further, the techniques may be applied to similar greedy optimization algorithm based applications.
Resumo:
Network diagnosis in Wireless Sensor Networks (WSNs) is a difficult task due to their improvisational nature, invisibility of internal running status, and particularly since the network structure can frequently change due to link failure. To solve this problem, we propose a Mobile Sink (MS) based distributed fault diagnosis algorithm for WSNs. An MS, or mobile fault detector is usually a mobile robot or vehicle equipped with a wireless transceiver that performs the task of a mobile base station while also diagnosing the hardware and software status of deployed network sensors. Our MS mobile fault detector moves through the network area polling each static sensor node to diagnose the hardware and software status of nearby sensor nodes using only single hop communication. Therefore, the fault detection accuracy and functionality of the network is significantly increased. In order to maintain an excellent Quality of Service (QoS), we employ an optimal fault diagnosis tour planning algorithm. In addition to saving energy and time, the tour planning algorithm excludes faulty sensor nodes from the next diagnosis tour. We demonstrate the effectiveness of the proposed algorithms through simulation and real life experimental results.
Resumo:
A forum is a valuable tool to foster reflection in an in-depth discussion; however, it forces the course mediator to continually pay close attention in order to coordinate learners` activities. Moreover, monitoring a forum is time consuming given that it is impossible to know in advance when new messages are going to be posted. Additionally, a forum may be inactive for a long period and suddenly receive a burst of messages forcing forum mediators to frequently log on in order to know how the discussion is unfolding to intervene whenever it is necessary. Mediators also need to deal with a large amount of messages to identify off-pattern situations. This work presents a piece of action research that investigates how to improve coordination support in a forum using mobile devices for mitigating mediator`s difficulties in following the status of a forum. Based on summarized information extracted from message meta-data, mediators consult visual information summaries on PDAs and receive textual notifications in their mobile phone. This investigation revealed that mediators used the mobile-based coordination support to keep informed on what is taking place within the forum without the need to log on their desktop computer. (C) 2009 Elsevier Ltd. All rights reserved.
Resumo:
Fossem os políticos de Brasília, os leitores que já participaram do Simulador Orçamentário - ferramenta lançada pelo Valor e pela Fundação Getulio Vargas (FGV) - a peça orçamentária de 2016, em vez de um déficit de R$ 30 bilhões, como enviado pelo governo federal ao Congresso, teria um superávit de R$ 23 bilhões - equivalente a 0,4% do PIB estimado.
Resumo:
The intention of this thesis is to develop a prototype interface that enables an operator to control a bi-wheeled industrial hovercraft that will work within a fusion power plant if the automation system fails. This fusion power plant is part of the ITER project a conjoint effort of various industrialized countries to develop cleaner sources of energy. The development of the interface prototype will be based on situation awareness concepts, which provide a means to understand how human operators perceive the world around, then process that information and make decisions based on the knowledge that they already have and the projected knowledge of the reactions that will occur in the world in response to the actions the operator makes. Two major situation awareness methods will be used, GDTA as a means to discover the requirements the interface needs to solve, and SAGAT to conduct the evaluation on the three interfaces. This technique can isolate the differences an operator has in situation awareness when presented with relevant information given by each of the three interfaces that were built for this thesis. Where the first interface presents the information within the operator’s focal point of view in a pictorial style, the second interface shows the same information within the same point of view has the first interface but only shows it in a textual manner. While the third interface shows the relevant information in the operator’s peripheral field of view. Also SAGAT can provide insight on the question to know if providing the operator with feed-forward information about the stoppage distances of the bi-wheeled industrial hovercraft has any effect on the operator’s decision making.