Abstract: Knowledge extraction is a means of obtaining knowledge from a phenomenon occured in the environment. Knowledge extraction as part of a process within an information processing system is a very easy task for human brain to do. In this paper we present a new technique for knowledge extraction called information fusion. In the creation of new knowledge, the brain does inferencing to obtain an inference. In essence, when doping the inferencing, the brain is fusing information obtained from the environment with the knowledge already stored in it. The obtained inference is new knowledge of the system while the occured mechanism is called as knowledge extraction. We have developed a method called A3S (Arwin-Adang-Aciek-Sembiring) for knowlegde extraction that was already applied to our system called Knowledge-Growing System (KGS). We also present an example with real-life data to show the work of A3S in performing knowledge extraction.

• Publication Date: 16-Dec-2016
• DOI: 10.15224/978-1-63248-113-9-05
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Abstract: The spectrum is a limited resource in which great deeds have been achieved wirelessly. Noting that the spectrum efficiency could be obtained with the joint deployment of macro-cell and nano-cells, small scale cellular and dense cellular network in the next generation of mobile networks. However, the energy efficiency may be achieved by addressing some new architectures and medium access control (MAC) protocols that may lead to fast recovery from sleep mode when in cooperative communications, not only but also the topology of distributed antenna networks’ coordination remains prominent candidate. The paper investigates the optimization of both the area spectral efficiency (SE) and the energy efficiency (EE) by considering a typical Orthogonal Frequency Division Multiplexing Access (OFDMA) downlink network. It further introduces a novelty constraint, the coverage sensitivity criterion in solving the optimization problem. This constraint aims at deleting empty transmission block where no

• Publication Date: 16-Dec-2016
• DOI: 10.15224/978-1-63248-113-9-06
• Views: 0
• Downloads: 0