The Experts below are selected from a list of 33 Experts worldwide ranked by ideXlab platform
Jie Zhang - One of the best experts on this subject based on the ideXlab platform.
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WPNC - Indoor localization using smartphone inertial sensors
2014 11th Workshop on Positioning Navigation and Communication (WPNC), 2014Co-Authors: Yang Liu, Marzieh Dashti, Mohd Amiruddin Abd Rahman, Jie ZhangAbstract:Celebrated fingerprinting techniques localize users by statistically learning the signal to location relations. However, collecting a lot of labelled data to train an accurate localization model is expensive and labour-intensive. In this paper, an economic and easy-to-deploy indoor localization model suitable for ubiquitous smartphone platforms is established. The method processes embedded inertial sensors readings through a inertial localization system. A particle filter is developed to integrate the building map constraints and inertial localization results to estimate user's location. To increase the algorithm convergence rate, the user's initial/on-line room-level localization is achieved using WiFi signals. To achieve room-level accuracy, only very few training WiFi data, i.e. one per room or per segment of a corridor, are required. A novel crowdsourcing technique to build and update training database is presented. On these basis, an indoor localization system is proposed and evaluated. The results show that comparable location accuracy to previous approaches without even dense Wireless Site Survey requirements is achievable.
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WPNC - Indoor localization on mobile phone platforms using embedded inertial sensors
2013 10th Workshop on Positioning Navigation and Communication (WPNC), 2013Co-Authors: Yang Liu, Marzieh Dashti, Jie ZhangAbstract:Indoor localization techniques are commonly based on measuring the Wi-Fi received signal strength (RSS) and the method of “fingerprinting”. The accuracy depends on density of recorded fingerprints in the radiomap (RM) database. Building and updating RM is expensive and labor-intensive. Taking advantage of ubiquity of smartphones with embedded inertial sensors yields an economic and easy-to-deploy indoor localization system. In this work, the accelerometer and digital compass are used to recognize the user's dynamic activities and walking directions. And the particle filter integrates the building map constraints and inertial measurements to estimate user's location. On this basis, an indoor localization system with no dense Wireless Site Survey requirements is proposed and evaluated.
Yang Liu - One of the best experts on this subject based on the ideXlab platform.
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WPNC - Indoor localization using smartphone inertial sensors
2014 11th Workshop on Positioning Navigation and Communication (WPNC), 2014Co-Authors: Yang Liu, Marzieh Dashti, Mohd Amiruddin Abd Rahman, Jie ZhangAbstract:Celebrated fingerprinting techniques localize users by statistically learning the signal to location relations. However, collecting a lot of labelled data to train an accurate localization model is expensive and labour-intensive. In this paper, an economic and easy-to-deploy indoor localization model suitable for ubiquitous smartphone platforms is established. The method processes embedded inertial sensors readings through a inertial localization system. A particle filter is developed to integrate the building map constraints and inertial localization results to estimate user's location. To increase the algorithm convergence rate, the user's initial/on-line room-level localization is achieved using WiFi signals. To achieve room-level accuracy, only very few training WiFi data, i.e. one per room or per segment of a corridor, are required. A novel crowdsourcing technique to build and update training database is presented. On these basis, an indoor localization system is proposed and evaluated. The results show that comparable location accuracy to previous approaches without even dense Wireless Site Survey requirements is achievable.
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WPNC - Indoor localization on mobile phone platforms using embedded inertial sensors
2013 10th Workshop on Positioning Navigation and Communication (WPNC), 2013Co-Authors: Yang Liu, Marzieh Dashti, Jie ZhangAbstract:Indoor localization techniques are commonly based on measuring the Wi-Fi received signal strength (RSS) and the method of “fingerprinting”. The accuracy depends on density of recorded fingerprints in the radiomap (RM) database. Building and updating RM is expensive and labor-intensive. Taking advantage of ubiquity of smartphones with embedded inertial sensors yields an economic and easy-to-deploy indoor localization system. In this work, the accelerometer and digital compass are used to recognize the user's dynamic activities and walking directions. And the particle filter integrates the building map constraints and inertial measurements to estimate user's location. On this basis, an indoor localization system with no dense Wireless Site Survey requirements is proposed and evaluated.
Marzieh Dashti - One of the best experts on this subject based on the ideXlab platform.
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WPNC - Indoor localization using smartphone inertial sensors
2014 11th Workshop on Positioning Navigation and Communication (WPNC), 2014Co-Authors: Yang Liu, Marzieh Dashti, Mohd Amiruddin Abd Rahman, Jie ZhangAbstract:Celebrated fingerprinting techniques localize users by statistically learning the signal to location relations. However, collecting a lot of labelled data to train an accurate localization model is expensive and labour-intensive. In this paper, an economic and easy-to-deploy indoor localization model suitable for ubiquitous smartphone platforms is established. The method processes embedded inertial sensors readings through a inertial localization system. A particle filter is developed to integrate the building map constraints and inertial localization results to estimate user's location. To increase the algorithm convergence rate, the user's initial/on-line room-level localization is achieved using WiFi signals. To achieve room-level accuracy, only very few training WiFi data, i.e. one per room or per segment of a corridor, are required. A novel crowdsourcing technique to build and update training database is presented. On these basis, an indoor localization system is proposed and evaluated. The results show that comparable location accuracy to previous approaches without even dense Wireless Site Survey requirements is achievable.
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WPNC - Indoor localization on mobile phone platforms using embedded inertial sensors
2013 10th Workshop on Positioning Navigation and Communication (WPNC), 2013Co-Authors: Yang Liu, Marzieh Dashti, Jie ZhangAbstract:Indoor localization techniques are commonly based on measuring the Wi-Fi received signal strength (RSS) and the method of “fingerprinting”. The accuracy depends on density of recorded fingerprints in the radiomap (RM) database. Building and updating RM is expensive and labor-intensive. Taking advantage of ubiquity of smartphones with embedded inertial sensors yields an economic and easy-to-deploy indoor localization system. In this work, the accelerometer and digital compass are used to recognize the user's dynamic activities and walking directions. And the particle filter integrates the building map constraints and inertial measurements to estimate user's location. On this basis, an indoor localization system with no dense Wireless Site Survey requirements is proposed and evaluated.
Achmad Taufik Rizki - One of the best experts on this subject based on the ideXlab platform.
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ANALISIS DAN PERANCANGAN OPTIMASI INFRASTRUKTUR JARINGAN Wireless DI LINGKUNGAN KANTOR DINAS KOMUNIKASI DAN INFORMASI KABUPATEN BANDUNG DENGAN METODE NETWORK DEVELOPMENT LIFE CYCLE (NDLC) MENGGUNAKAN Wireless Site Survey (WSS
Universitas Telkom S1 Sistem Informasi, 2019Co-Authors: Achmad Taufik RizkiAbstract:Penggunaan Jaringan nirkabel pada suatu organisasi maupun perusahaan merupakan hal yang biasanya sudah ada untuk menghubungkan beberapa perangkat komputer dalam suatu organisasi ataupun untuk dapat menghubungkan suatu jaringan perusahaan ke internet. Jaringan nirkabel atau biasa disebut Wireless merupakan suatu bentuk jaringan yang metode komunikasinya dilakukan tanpa menggunakan kabel. Pada proses implementasi jaringan Wireless dalam suatu organisasi , sering kali dilakukan tanpa mempertimbangkan standar implementasi jaringan Wireless. Hal ini dapat menimbulkan permasalahan kelak jika organisasi tersebut melakukan penambahan perangkat. Pemerintah Kabupaten Bandung merupakan salah satu instansi pemerintah yang telah mengimplementasikan jaringan nirkabel sebagai media untuk berkomunikasi antar komputer. Namun dalam pengimplementasiannya , jaringan tersebut belum mengikuti standar jaringan komunikasi Wireless . Maka dari itu Tugas Akhir ini dilakukan untuk menganalisa dan melakukan perancangan jaringan nirkabel yang ada di kompleks Pemerintah Kabupaten Bandung. Metode yang digunakan dalam penelitian adalah metode Network Development Life Cycle (NDLC) dengan menggunakan Wireless Site Survey (WSS) untuk mengukur efektifas jaringan nirkabel yang ada. Rekomendasi yang dihasilkan adalah rekomendasi dari aspek teknolog
Haidar Nail - One of the best experts on this subject based on the ideXlab platform.
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Wireless Site Survey : Site Surveying in home,office and laboratory environment
2011Co-Authors: Haidar NailAbstract:Today, Communication has increasing influence on our Daily life. Wireless data Communication services allow people to access the data Network without a physical Connection. This work Studying Wirel ...
