Abstract Based on the standardized IEEE 802.11 Distributed Coordination Function (DCF) protocol, this paper proposes a new backoff mechanism, called Smart Exponential‐Threshold‐Linear (SETL) Backoff Mechanism, to enhance system performance of contention‐based wireless networks. In DCF scheme, smaller contention window (CW) will increase collision probability, but larger CW delay transmission. Hence, in proposed SETL threshold is set determine behavior after each When than threshold,...

Users rely increasingly on Location-Based Services (LBS) and automated navigation/guidance systems nowadays. However, while such services are easily implemented in outdoor environments using Global Positioning System (GPS) technology, a requirement still exists for accurate localization guidance schemes indoor settings. Accordingly, the present study proposes system based GPS, Bluetooth Low Energy (BLE) beacons, Near Field Communication (NFC) technology. Through establishing graphic...

<title>Abstract</title> This study presents CoD-CAST+, a distributed clustering algorithm tailored for large-scale and high-dimensional data analysis. Built upon the CoD-CAST-GPU architecture, CoD-CAST+ preserves core idea of on-demand affinity computation while introducing hierarchical acceleration strategy that integrates multi-threading, GPU parallelism, inter-node coordination. A visualization module is embedded to enhance interpretability, system design guided by systematic review...

Parallel and distributed computing techniques have attracted extensive attentions on the ability to manage compute significant amount of data in past decades. The difficulty mining large database launched research designing parallel algorithms solve problem. In this paper, we propose a novel algorithm, named Cloud-based Association Rule Mining (CARM), abbreviated as CARM, which is able efficiently utilise nodes discover frequent patterns cloud environments with privacy preserved. Through...

The rapid advance of wireless and Web technologies enable the mobile applications to provide plenty kinds services for users. Under a system, analyzing user's movement sequences requested is important wide in communication like data allocation, replication, location-based personalization services. main challenge this research issue effectively deal with diverse behavior huge amount data. However, our best knowledge, no studies have been done on problem mining sequential access patterns both...

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> In this paper, we demonstrate that the logic computation performed by DNA-based algorithm for solving general cases of satisfiability problem can be implemented more efficiently our proposed quantum on machine Deutsch. To test theory, carry out a three-quantum bit nuclear magnetic resonance experiment simplest problem. </para>

Transaction data in real-world applications usually consist of quantitative values, so designing a sophisticated data-mining algorithm that is able to deal with various types presents challenge workers this research field. Since sequential patterns are also very important for applications, paper focuses on finding fuzzy from data. A new mining proposed, which integrates the fuzzy-set concepts and AprioriAll algorithm. It first transforms values transactions into linguistic terms, then...

In recent years, knowledge discovery in databases provides a powerful capability to discover meaningful and useful information. For numerous real-life applications, frequent pattern mining association rule have been extensively studied. traditional algorithms, data are centralized memory-resident. As result of the large amount data, bandwidth limitation, energy limitations when applying these methods distributed databases, especially this era big performance is not effective enough. Hence,...

Tennis is a popular sport, and the introduction of technology has allowed players to diversify their training. ball tracking currently focal point, serving not only assist referees but also enhance sports analysis. We introduce Shot Side-View Top-View Dataset, which serves as an invaluable resource for analysing tennis movements verifying landing positions after flight. This dataset combines side-view top-view video clips, capturing various shot types player from both outdoor indoor fields....

Fast discovery of frequent patterns is the most extensively discussed problem in data mining fields due to its wide applications. As size database increases, computation time and required memory increase severely. The difficulty large launched research designing parallel distributed algorithms solve problem. Most past studies tried parallelize by dividing distribute divided other nodes for mining. This approach might leak out evidently not suitable be applied sensitive domains like...

In this paper, quantum algorithms for solving an instance of the subset-sum problem is proposed and a NMR experiment simplest to test our theory also performed.

Object tracking sensor networks (OTSNs) have received extensive attentions for researches in recent years due to the wide applications. One important research issue OTSNs is energy saving strategy considering limited power of nodes. The past studies on usually considered movement behavior objects as randomness. However, some real applications, object often carries certain patterns instead randomness completely. In this paper, we propose an efficient data mining algorithm named TMP-Mine with...