This paper addresses the dynamic location management for personal communication service (PCS) networks with consideration of mobility patterns. The popular hexagonal cellular architecture is considered. In this paper,...
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The development of the smartphones that rapidly increasing, and high smartphone Users as a tool to make a lot of information, make emergence of instant messaging applications with a variety of options for use. Telegra...
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The cost of commercial vehicle operation includes fuel, vehicle purchase/replacement/maintenance, and driver/staff,...,etc. Among these costs, fuel is the one that is not only cost-concerned but also environment-conce...
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The cost of commercial vehicle operation includes fuel, vehicle purchase/replacement/maintenance, and driver/staff,...,etc. Among these costs, fuel is the one that is not only cost-concerned but also environment-concerned. The fuel consumption is highly correlated with the vehicle traveling distance and driving behavior patterns and the emission of carbon dioxide (CO2) from the vehicle operations is one major contributing factor to the greenhouse effect that all human beings are suffering. How to utilize vehicles more efficiently in terms of time and travelling distance and reduce the carbon dioxide emission has become an important issue. Not to mention that many countries/areas have taken acts such as new laws for emission limitations to protect the environment. Advanced technologies such as Global Positioning systems (GPS) can generate the real-time location information of commercial vehicles. These data, analyzed by appropriate data mining technologies, can be used for fleet management systems such as vehicle route planning and driving behavior analysis. In this study, research team cooperating with Taiwan's largest commercial vehicle fleet, Formosa Plastics Transport Corp. (FPTC), deploy GPS-based vehicle tracking and communication systems and apply data mining technologies to develop a new fleet management system that is not only cost-efficient but also environment-friendly. The results include reduced transportation costs, lowered emissions, improved driving behaviors, and a greener fleet.
IT Governance are one of the needs in managing Enterprise Level IT. This study shows part of the decision domain of IT Governance Help, which are IT Investment and Prioritization. The purpose of this study is to deter...
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Metaverse is extremely popular at present in the gaming industry but can it accelerate the advancement of public services as defined by the United Nations Sustainable Development Goals (UN SDGs)? In particular, can me...
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ISBN:
(纸本)9781665492263
Metaverse is extremely popular at present in the gaming industry but can it accelerate the advancement of public services as defined by the United Nations Sustainable Development Goals (UN SDGs)? In particular, can metaverse provide any value to developing nations and how can the challenges and risks introduced by the metaverse be addressed through govrnment regulations and policies? This paper presents a systematic analysis of metaverse and utilizes the United Nations SDGs as a metric to explore public welfare aspects of metaverse. A digital transformation Lab is presented for rapid deployment and experimentation with metaverse.
Some real problems are more naturally modeled by hybrid Bayesian networks that consist of mixtures of continuous and discrete variables with their interactions described by equations and continuous probability distrib...
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Some real problems are more naturally modeled by hybrid Bayesian networks that consist of mixtures of continuous and discrete variables with their interactions described by equations and continuous probability distributions. However, inference in such general hybrid models is hard. Therefore, existing approaches either only deal with special instances, such as Conditional Linear Gaussians (CLGs), or approximate a general model with a restricted version and then perform inference on the simpler model. However, results thus obtained highly depend on the quality of the approximations. This paper describes an importance sampling-based algorithm that directly deals with hybrid Bayesian networks constructed in the most general settings and guarantees to converge to the correct answers given enough time.
This paper describes the ECO-LÓGICA prototype, a useful tool for the decision-making process related to air pollution. The ECO-LÓGICA system can generate a wide range of reports, including those based on rea...
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An approach for systematically modifying the semantics of programming languages by semantics modifiers is described. Semantics modifiers are a class of programs that allow the development of general and reusable seman...
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Ethereum is one of the most popular blockchain platforms with a high number of adoption in the blockchain world today. Ethereum token (ERC-20) can tokenize any real-world object while it is also possible to exchange t...
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