A Handover Prediction Mechanism Based on LTE-A UE History Information

[[abstract]]In response to the rapidly developing of wireless communication technology, the deployed of eNB is denser and more complex. The research of how to handover accurately and fast in LTE-A are discussed much in recent years .In 3GPP Release 8, the UE History Information recorded by eNB was first proposed, it's proposed to provide eNB to judge the target eNB when handover. The history information includes the Cell ID and Time UE stayed in cell. We proposed an advance UE history information, reducing the handover failure rate and ping-pong handover rate by using the history information like Region-Domain, Time-Domain and Time To Trigger.[[sponsorship]]Tamkang University[[incitationindex]]EI[[conferencetype]]國際[[conferencetkucampus]]台北校園[[conferencedate]]20150902~20150903[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Taipei, Taiwa

A Concentric-based Sleep Scheduling Scheme for Wireless Sensor Networks

[[abstract]]In Wireless Sensor Networks (WSNs), how to extend the lifetime is an important issue. Our research uses Sleeping Scheduling scheme which divides the network into many concentric layers and rotates sensors in different odd and even layers to sleep. By our scheme, we can balance the power consumption among all sensors and reduce power and transmission load of sensors near sink. Our research use Transmit Power Control (TPC) technique to control topology and divide concentric layers, and use the topology to transmit packets to sink. Finally, the performance of our scheme is better than other Sleeping Scheduling schemes in the simulations.[[sponsorship]]Tamkang University[[incitationindex]]EI[[conferencetype]]åé[[conferencetkucampus]]å°åæ ¡å[[conferencedate]]20150902~20150903[[booktype]]é»å­ç[[iscallforpapers]]Y[[conferencelocation]]Taipei, Taiwa

A Fuzzy-based Dynamic Channel Allocation

[[abstract]]In traditional wireless networks, fixed allocation of spectrum is one of the main reason causing low utilization of spectrum. In order to solve this problem, a new wireless communication model has been proposed, which called Cognitive Radio Networks (CRN). CRN adopts Dynamic Spectrum Access (DSA) technology, thus it can flexibly use the spectrum which primary user temporarily unused. In cognitive radio networks, due to each secondary user (SU) has different location and surrounding spectrum environment, it may have variety of available channels. How to assign these available channels is the crucial point of system performance. However, existing methods doesn’t consider the problem of multipath fading; therefore, this study proposed an improved channel allocation scheme. We consider the received signal strength to define the channel access priority of secondary users applied by fuzzy theory. Finally, the simulation results show the superior of our approach and verify the effectiveness of the proposed scheme.[[sponsorship]]University of Colombo School of Computing, Sri Lanka[[incitationindex]]EI[[conferencetype]]國際[[conferencedate]]20150823~20150826[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Colombo, Sri Lank

A Mining Algorithm under Fuzzy Taxonomic Structures

Most conventional data-mining algorithms identify the relationships among transactions using binary values and find rules at a single concept level. Transactions with quantitative values and items with taxonomic relations are, however, commonly seen in real-world applications. Besides, the taxonomic structures may also be represented in a fuzzy way. This paper thus proposes a fuzzy multiple-level mining algorithm for extracting fuzzy association rules under given fuzzy taxonomic structures. The proposed algorithm adopts a top-down progressively deepening approach to finding large itemsets. It integrates fuzzy-set concepts, data-mining technologies and multiple-level fuzzy taxonomy to find fuzzy association rules from given transaction data sets. Each item uses only the linguistic term with the maximum cardinality in later mining processes, thus making the number of fuzzy regions to be processed the same as the number of the original items. The algorithm therefore focuses on the most important linguistic terms for reduced time complexit

Novel Mutation in Boy With Cartilage-hair Hypoplasia

BackgroundCartilage-hair hypoplasia (MIM 250250) is an autosomal recessive disease with diverse clinical manifestations. The clinical phenotypes include variable degrees of bone and hair dysplasia, deficient cellular and/or humoral immunity, and a predisposition to malignancy.MethodsWe performed genetic studies of a patient with disproportionate short stature and brittle scalp hair. Genetic studies were also carried out in the patient's parents.ResultsA novel maternal mutation that consisted of a duplication of 14 nucleotides at position −13 of the RNA component of the RNA component of mitochondrial RNA processing endoribonuclease gene (RMRP; g. −26 to −13 dupTACTACTCTGTGAA, promoter region) and a paternal mutation base substitution of C to T at nucleotide + 230 (designated as + 1 in the transcription initiation site) in the coding sequence of RMRP were detected in this patient.ConclusionA novel maternal RMRP mutation was found in a Chinese boy with typical cartilage-hair hypoplasia