Search Results - "Yunye Jin"

Indoor localization with channel impulse response based fingerprint and nonparametric regression by Jin, Yunye, Soh, Wee-Seng, Wong, Wai-Choong

“…In this paper, we propose a fingerprint-based localization scheme that exploits the location dependency of the channel impulse response (CIR). We approximate…”
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A Machine Learning Approach for Dead-Reckoning Navigation at Sea Using a Single Accelerometer by Diamant, Roee, Yunye Jin

“…Dead-reckoning (DR) navigation is used when Global Positioning System (GPS) reception is not available or its accuracy is not sufficient. At sea, DR requires…”
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Footfall Count Estimation Techniques Using Mobile Data by Yibin Ng, Yingchi Pei, Yunye Jin

“…Accurate estimations of footfall count have several important uses, examples include monitoring crowd movement, allocation of emergency services, retail…”
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Error analysis for fingerprint-based localization by Jin, Yunye, Soh, Wee-Seng, Wong, Wai-Choong

“…In this paper, we derive the theoretical error Probability Density Function (PDF) and Region of Confidence (RoC) conditioned on the on-line signal parameter…”
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Visualize People's Mobility - Both individually and Collectively - Using Mobile Phone Cellular Data by Dash, Manoranjan, Kee Kiat Koo, Krishnaswamy, Shonali P., Yunye Jin, Shi-Nash, Amy

“…Extraction of mobility patterns of people in a city helps in urban planning, traffic control, transportation management, etc. We present a demo that shows how…”
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SparseTrack: Enhancing Indoor Pedestrian Tracking with Sparse Infrastructure Support by Yunye Jin, Motani, Mehul, Wee-Seng Soh, Juanjuan Zhang

“…Accurate indoor pedestrian tracking has wide applications in the healthcare, retail, and entertainment industries. However, existing approaches to indoor…”
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Design and implementation of a real time locating system utilizing Wi-Fi signals from iPhones by Bharanidharan, M., Xue Jun Li, Yunye Jin, Pathmasuntharam, J. S., Gaoxi Xiao

“…Real time locating system (RTLS) becomes increasingly popular due to its wide application and fast growth as indicated by the number of mobile devices. Instead…”
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A robust dead-reckoning pedestrian tracking system with low cost sensors by Yunye Jin, Hong-Song Toh, Wee-Seng Soh, Wai-Choong Wong

“…The emergence of personal mobile device with low cost sensors, such as accelerometer and digital compass, has made dead-reckoning (DR) an attractive choice for…”
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CIMLoc: A crowdsourcing indoor digital map construction system for localization by Xiuming Zhang, Yunye Jin, Hwee-Xian Tan, Wee-Seng Soh

“…Indoor maps, as crucial prerequisites for many indoor localization and navigation systems, are sometimes inaccessible. The absence of an indoor map database…”
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Smartphone-Based Place Profiling in a Privacy-Preserving Manner by Miao Lin, Dash, Manoranjan, Watt Pei Yi, Yunye Jin

“…Places and their semantics are the primary keys for various mobile applications and location-based services. Currently, smartphones can easily access users'…”
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Optimal performance trade-offs in MAC for wireless sensor networks powered by heterogeneous ambient energy harvesting by Yunye Jin, Hwee-Pink Tan

“…In wireless sensor networks powered by ambient energy harvesting (WSNs-HEAP), sensor nodes' energy harvesting rates are spatially heterogeneous and temporally…”
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Mobility Genome™- A Framework for Mobility Intelligence from Large-Scale Spatio-Temporal Data by The Anh Dang, Deepak, Jayakumaran, Jingxuan Wang, Shixin Luo, Yunye Jin, Yibin Ng, Lim, Aloysius, Ying Li

“…Massive amount of spatio-temporal data is generated as a result of user movement and data access activities, from both smart mobile devices and network…”
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SSD: A Robust RF Location Fingerprint Addressing Mobile Devices' Heterogeneity by Mahtab Hossain, A. K. M., Yunye Jin, Wee-Seng Soh, Hien Nguyen Van

“…Fingerprint-based methods are widely adopted for indoor localization purpose because of their cost-effectiveness compared to other infrastructure-based…”
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A Robust Indoor Pedestrian Tracking System with Sparse Infrastructure Support by Yunye Jin, Wee-Seng Soh, Motani, M., Wai-Choong Wong

“…Existing approaches to indoor tracking have various limitations. Location-fingerprinting approaches are labor intensive and vulnerable to environmental…”
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Indoor Localization Using Multiple Wireless Technologies by Hossain, A.K.M. Mahtab, Van, Hien Nguyen, Jin, Yunye, Soh, Wee-Seng

“…Indoor localization techniques using location fingerprints are gaining popularity because of their cost-effectiveness compared to other infrastructure-based…”
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Poster abstract: Extreme learning machine for wireless indoor localization by Xiao, Wendong, Liu, Peidong, Soh, Wee-Seng, Jin, Yunye

“…Due to the widespread deployment and low cost, WLAN has drawn much attention for indoor localization. In this poster, an efficient indoor localization…”
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