Search results for: Kriangkrai Maneerat

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action="https://publications.waset.org/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Kriangkrai Maneerat"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Kriangkrai Maneerat</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> On the Analysis of Localization Accuracy of Wireless Indoor Positioning Systems using Cramer's Rule</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Kriangkrai%20Maneerat">Kriangkrai Maneerat</a>, <a href="https://publications.waset.org/search?q=Chutima%20Prommak"> Chutima Prommak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>This paper presents an analysis of the localization accuracy of indoor positioning systems using Cramer-s rule via IEEE 802.15.4 wireless sensor networks. The objective is to study the impact of the methods used to convert the received signal strength into the distance that is used to compute the object location in the wireless indoor positioning system. Various methods were tested and the localization accuracy was analyzed. The experimental results show that the method based on the empirical data measured in the non line-of-sight (NLOS) environment yield the highest localization accuracy; with the minimum error distance less than 3 m.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Indoor%20positioning%20systems" title="Indoor positioning systems">Indoor positioning systems</a>, <a href="https://publications.waset.org/search?q=localization%20accuracy" title=" localization accuracy"> localization accuracy</a>, <a href="https://publications.waset.org/search?q=wireless%20networks" title=" wireless networks"> wireless networks</a>, <a href="https://publications.waset.org/search?q=Cramer%27s%20rule." title=" Cramer's rule."> Cramer's rule.</a> </p> <a href="https://publications.waset.org/9504/on-the-analysis-of-localization-accuracy-of-wireless-indoor-positioning-systems-using-cramers-rule" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9504/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9504/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9504/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9504/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9504/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9504/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9504/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9504/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9504/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9504/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9504.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">1968</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> An Enhanced Floor Estimation Algorithm for Indoor Wireless Localization Systems Using Confidence Interval Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Kriangkrai%20Maneerat">Kriangkrai Maneerat</a>, <a href="https://publications.waset.org/search?q=Chutima%20Prommak"> Chutima Prommak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Indoor wireless localization systems have played an important role to enhance context-aware services. Determining the position of mobile objects in complex indoor environments, such as those in multi-floor buildings, is very challenging problems. This paper presents an effective floor estimation algorithm, which can accurately determine the floor where mobile objects located. The proposed algorithm is based on the confidence interval of the summation of online Received Signal Strength (RSS) obtained from the IEEE 802.15.4 Wireless Sensor Networks (WSN).We compare the performance of the proposed algorithm with those of other floor estimation algorithms in literature by conducting a real implementation of WSN in our facility. The experimental results and analysis showed that the proposed floor estimation algorithm outperformed the other algorithms and provided highest percentage of floor accuracy up to 100% with 95-percent confidence interval.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Floor%20estimation%20algorithm" title="Floor estimation algorithm">Floor estimation algorithm</a>, <a href="https://publications.waset.org/search?q=floor%20determination" title=" floor determination"> floor determination</a>, <a href="https://publications.waset.org/search?q=multi-floor%20building" title=" multi-floor building"> multi-floor building</a>, <a href="https://publications.waset.org/search?q=indoor%20wireless%20systems." title=" indoor wireless systems."> indoor wireless systems.</a> </p> <a href="https://publications.waset.org/9998844/an-enhanced-floor-estimation-algorithm-for-indoor-wireless-localization-systems-using-confidence-interval-approach" 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Search results for: Kriangkrai Maneerat