Search

Your search keyword '"Ma, Zixiang"' showing total 4 results
Start Over Author "Ma, Zixiang" Publication Type Electronic Resources
4 results on '"Ma, Zixiang"'

1. An investigation of indoor positioning systems and their applications

Author

Ma, Zixiang

Subjects
621.382, Activities of Daily Living, wellbeing, Electronic Engineering and Computer Science
Abstract

Activities of Daily Living (ADL) are important indicators of both cognitive and physical well-being in healthy and ill humans. There is a range of methods to recognise ADLs, each with its own limitations. The focus of this research was on sensing location-driven activities, in which ADLs are derived from location sensed using Radio Frequency (RF, e.g., WiFi or BLE), Magnetic Field (MF) and light (e.g., Lidar) measurements in three different environments. This research discovered that different environments can have different constraints and requirements. It investigated how to improve the positioning accuracy and hence how to improve the ADL recognition accuracy. There are several challenges that need to be addressed in order to do this. First, RF location fingerprinting is affected by the heterogeneity smartphones and their orientation with respect to transmitters, increasing the location determination error. To solve this, a novel Received Signal Strength Indication (RSSI) ranking based location fingerprinting methods that use Kendall Tau Correlation Coefficient (KTCC) and Convolutional Neural Networks (CNN) are proposed to correlate a signal position to pre-defined Reference Points (RPs) or fingerprints, more accurately, The accuracy has increased by up to 25.8% when compared to using Euclidean Distance (ED) based Weighted K-Nearest Neighbours Algorithm (WKNN). Second, the use of MF measurements as fingerprints can overcome some additional RF fingerprinting challenges, as MF measurements are far more invariant to static and dynamic physical objects that affect RF transmissions. Hence, a novel fast path matching data algorithm for an MF sensor combined with an Inertial Measurement Unit (IMU) to determine direction was researched and developed. It can achieve an average of 1.72 m positioning accuracy when the user walks far fewer (5) steps. Third, a device-free or off-body novel location-driven ADL method based upon 2D Lidar was investigated. An innovative method for recognising daily activities using a Seq2Seq model to analyse location data from a low-cost rotating 2D Lidar is proposed. It provides an accuracy of 88% when recognising 17 targeted ADLs. These proposed methods in this thesis have been validated in real environments.

Published
2018

2. Team-level high-performance work systems, self-efficacy and creativity: differential moderating roles of person–job fit and goal difficulty

Author

Ma, Zixiang, Gong, Yaping, Long, Lirong, Zhang, Yong, Ma, Zixiang, Gong, Yaping, Long, Lirong, and Zhang, Yong

Abstract

Research has examined firm- or unit-level high-performance work systems (HPWS) and impacts on firm, unit, or individual outcomes. Relatively few works have examined how team-level HPWS works together with individual-level factors to shape individual creativity. Grounded in social cognitive theory and the interactionist model of creativity, this study posits and tests the thesis that team-level HPWS and individual-level job characteristics jointly influence individual creativity via individual self-efficacy. We collected multi-source and multi-level data from 321 employees of 75 teams and their direct managers in China. Results show that team-level HPWS interacts with individual-level person–job fit and goal difficulty to influence self-efficacy and, subsequently, creativity. Specifically, individual employee’s person–job fit (P–J fit) and goal difficulty moderate the positive indirect relationship of team-level HPWS with creativity through employee self-efficacy, such that it is stronger when P–J fit is high or when goal difficulty is low. We extend research on HPWS and creativity by revealing P–J fit and goal difficulty as individual-level boundary conditions for the effect of team-level HPWS. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Published
2021

3. Team-level high-performance work systems, self-efficacy and creativity: differential moderating roles of person–job fit and goal difficulty

Author

Ma, Zixiang, Gong, Yaping, Long, Lirong, Zhang, Yong, Ma, Zixiang, Gong, Yaping, Long, Lirong, and Zhang, Yong

Abstract

Research has examined firm- or unit-level high-performance work systems (HPWS) and impacts on firm, unit, or individual outcomes. Relatively few works have examined how team-level HPWS works together with individual-level factors to shape individual creativity. Grounded in social cognitive theory and the interactionist model of creativity, this study posits and tests the thesis that team-level HPWS and individual-level job characteristics jointly influence individual creativity via individual self-efficacy. We collected multi-source and multi-level data from 321 employees of 75 teams and their direct managers in China. Results show that team-level HPWS interacts with individual-level person–job fit and goal difficulty to influence self-efficacy and, subsequently, creativity. Specifically, individual employee’s person–job fit (P–J fit) and goal difficulty moderate the positive indirect relationship of team-level HPWS with creativity through employee self-efficacy, such that it is stronger when P–J fit is high or when goal difficulty is low. We extend research on HPWS and creativity by revealing P–J fit and goal difficulty as individual-level boundary conditions for the effect of team-level HPWS. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

Published
2020

4. The IPIN 2019 Indoor Localisation Competition-Description and Results

Author

Potortì, Francesco [0000-0003-3835-3920], Crivello, Antonino [0000-0001-7238-2181], Palumbo, Filippo [0000-0001-9778-7142], Girolami, Michele [0000-0002-3683-7158], Barsocchi, Paolo [0000-0002-6862-7593], Torres-Sospedra, Joaquín [0000-0003-4338-4334], Jiménez Ruiz, Antonio Ramón [0000-0001-9771-1930], Pérez-Navarro, Antoni [0000-0002-7037-0635], Martín Mendoza-Silva, Germán [0000-0003-2744-0236], Seco, Fernando [0000-0002-2922-2710], Renaudin, Valerie [0000-0003-4535-5406], Park, Soyoung [0000-0001-5491-6776], Lee, Jae Hong [0000-0002-8222-5435], Park, Chan Gook [0000-0002-7403-951X], Lee, Keumryeol [0000-0003-0930-9007], Choi, Yang-Seok [0000-0002-0510-8198], Talwar, Shilpa [0000-0002-7932-9815], Cho, Seong Yun [0000-0002-4284-2156], Chidlovskii, Boris [0000-0002-2958-2361], Peng, Ao [0000-0003-3348-4358], Wu, Bang [0000-0002-8097-7852], Ma, Chengqi [0000-0002-9146-4470], Poslad, Stefan [0000-0002-3156-9609], Selviah, David R. [0000-0002-0016-0691], Zhang, Wenchao [0000-0002-6412-3961], Yuan, Hong [0000-0002-3807-8132], Leu, Jenq-Shiou [0000-0001-7197-9912], Uchiyama, Hideaki [0000-0002-6119-1184], Thomas, Diego [0000-0002-8525-7133], Shimada, Atsushi [0000-0002-3635-9336], Lungenstrass Poulsen, Tomás [0000-0003-4832-2730], Ashraf, Imran [0000-0002-8271-6496], Ali, Muhammad Usman [0000-0002-4470-8065], Opiela, Miroslav [0000-0001-8802-4442], Moreira, Adriano [0000-0002-8967-118X], Costa, António [0000-0003-0691-1377], Trogh, Jens [0000-0003-0185-5409], Plets, David [0000-0002-8879-5076], Chien, Ying-Ren [0000-0002-3013-0290], Fang, Shih-Hau [0000-0003-1580-0257], Tsao, Yu [0000-0001-6956-0418], Potortì, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, Girolami, Michele, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquín, Jiménez Ruiz, Antonio R., Pérez-Navarro, Antoni, Martín Mendoza-Silva, Germán, Seco Granja, Fernando, Ortiz, Miguel, Perul, Johan, Renaudin, Valerie, Kang, Hyunwoong, Park, Soyoung, Lee, Jae Hong, Park, Chan Gook, Ha, Jisu, Han, Jaeseung, Park, Changjun, Kim, Keunhye, Lee, Yonghyun, Gye, Seunghun, Lee, Keumryeol, Kim, Eunjee, Choi, Jeong-Sik, Choi, Yang-Seok, Talwar, Shilpa, Cho, Seong Yun, Ben-Moshe, Boaz, Scherbakov, Alex, Antsfeld, Leonid, Sansano-Sansano, Emilio, Chidlovskii, Boris, Kronenwett, Nikolai, Prophet, Silvia, Landay, Yael, Marbel, Revital, Zheng, Lingxiang, Peng, Ao, Lin, Zhichao, Wu, Bang, Ma, Chengqi, Poslad, Stefan, Selviah, David R., Wu, Wei, Ma, Zixiang, Zhang, Wenchao, Wei, Dongyan, Yuan, Hong, Jiang, Jun-Bang, Huang, Shao-Yung, Liu, Jing-Wen, Su, Kuan-Wu, Leu, Jenq-Shiou, Nishiguchi, Kazuki, Bousselham, Walid, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-Ichiro, Cortés Puschel, Vicente, Lungenstrass Poulsen, Tomás, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria João, Pendão, Cristiano, Silva, Ivo, Meneses, Filipe, Costa, António, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, Tsao, Yu, Potortì, Francesco [0000-0003-3835-3920], Crivello, Antonino [0000-0001-7238-2181], Palumbo, Filippo [0000-0001-9778-7142], Girolami, Michele [0000-0002-3683-7158], Barsocchi, Paolo [0000-0002-6862-7593], Torres-Sospedra, Joaquín [0000-0003-4338-4334], Jiménez Ruiz, Antonio Ramón [0000-0001-9771-1930], Pérez-Navarro, Antoni [0000-0002-7037-0635], Martín Mendoza-Silva, Germán [0000-0003-2744-0236], Seco, Fernando [0000-0002-2922-2710], Renaudin, Valerie [0000-0003-4535-5406], Park, Soyoung [0000-0001-5491-6776], Lee, Jae Hong [0000-0002-8222-5435], Park, Chan Gook [0000-0002-7403-951X], Lee, Keumryeol [0000-0003-0930-9007], Choi, Yang-Seok [0000-0002-0510-8198], Talwar, Shilpa [0000-0002-7932-9815], Cho, Seong Yun [0000-0002-4284-2156], Chidlovskii, Boris [0000-0002-2958-2361], Peng, Ao [0000-0003-3348-4358], Wu, Bang [0000-0002-8097-7852], Ma, Chengqi [0000-0002-9146-4470], Poslad, Stefan [0000-0002-3156-9609], Selviah, David R. [0000-0002-0016-0691], Zhang, Wenchao [0000-0002-6412-3961], Yuan, Hong [0000-0002-3807-8132], Leu, Jenq-Shiou [0000-0001-7197-9912], Uchiyama, Hideaki [0000-0002-6119-1184], Thomas, Diego [0000-0002-8525-7133], Shimada, Atsushi [0000-0002-3635-9336], Lungenstrass Poulsen, Tomás [0000-0003-4832-2730], Ashraf, Imran [0000-0002-8271-6496], Ali, Muhammad Usman [0000-0002-4470-8065], Opiela, Miroslav [0000-0001-8802-4442], Moreira, Adriano [0000-0002-8967-118X], Costa, António [0000-0003-0691-1377], Trogh, Jens [0000-0003-0185-5409], Plets, David [0000-0002-8879-5076], Chien, Ying-Ren [0000-0002-3013-0290], Fang, Shih-Hau [0000-0003-1580-0257], Tsao, Yu [0000-0001-6956-0418], Potortì, Francesco, Park, Sangjoon, Crivello, Antonino, Palumbo, Filippo, Girolami, Michele, Barsocchi, Paolo, Lee, Soyeon, Torres-Sospedra, Joaquín, Jiménez Ruiz, Antonio R., Pérez-Navarro, Antoni, Martín Mendoza-Silva, Germán, Seco Granja, Fernando, Ortiz, Miguel, Perul, Johan, Renaudin, Valerie, Kang, Hyunwoong, Park, Soyoung, Lee, Jae Hong, Park, Chan Gook, Ha, Jisu, Han, Jaeseung, Park, Changjun, Kim, Keunhye, Lee, Yonghyun, Gye, Seunghun, Lee, Keumryeol, Kim, Eunjee, Choi, Jeong-Sik, Choi, Yang-Seok, Talwar, Shilpa, Cho, Seong Yun, Ben-Moshe, Boaz, Scherbakov, Alex, Antsfeld, Leonid, Sansano-Sansano, Emilio, Chidlovskii, Boris, Kronenwett, Nikolai, Prophet, Silvia, Landay, Yael, Marbel, Revital, Zheng, Lingxiang, Peng, Ao, Lin, Zhichao, Wu, Bang, Ma, Chengqi, Poslad, Stefan, Selviah, David R., Wu, Wei, Ma, Zixiang, Zhang, Wenchao, Wei, Dongyan, Yuan, Hong, Jiang, Jun-Bang, Huang, Shao-Yung, Liu, Jing-Wen, Su, Kuan-Wu, Leu, Jenq-Shiou, Nishiguchi, Kazuki, Bousselham, Walid, Uchiyama, Hideaki, Thomas, Diego, Shimada, Atsushi, Taniguchi, Rin-Ichiro, Cortés Puschel, Vicente, Lungenstrass Poulsen, Tomás, Ashraf, Imran, Lee, Chanseok, Ali, Muhammad Usman, Im, Yeongjun, Kim, Gunzung, Eom, Jeongsook, Hur, Soojung, Park, Yongwan, Opiela, Miroslav, Moreira, Adriano, Nicolau, Maria João, Pendão, Cristiano, Silva, Ivo, Meneses, Filipe, Costa, António, Trogh, Jens, Plets, David, Chien, Ying-Ren, Chang, Tzu-Yu, Fang, Shih-Hau, and Tsao, Yu

Abstract

IPIN 2019 Competition, sixth in a series of IPIN competitions, was held at the CNR Research Area of Pisa (IT), integrated into the program of the IPIN 2019 Conference. It included two on-site real-time Tracks and three off-site Tracks. The four Tracks presented in this paper were set in the same environment, made of two buildings close together for a total usable area of 1000 m2 outdoors and and 6000 m2 indoors over three floors, with a total path length exceeding 500 m. IPIN competitions, based on the EvAAL framework, have aimed at comparing the accuracy performance of personal positioning systems in fair and realistic conditions: past editions of the competition were carried in big conference settings, university campuses and a shopping mall. Positioning accuracy is computed while the person carrying the system under test walks at normal walking speed, uses lifts and goes up and down stairs or briefly stops at given points. Results presented here are a showcase of state-of-the-art systems tested side by side in real-world settings as part of the on-site real-time competition Tracks. Results for off-site Tracks allow a detailed and reproducible comparison of the most recent positioning and tracking algorithms in the same environment as the on-site Tracks.

Published
2020

Catalog

Books, media, physical & digital resources
See catalog results