Exercise Guidance Generation Based on Joint Vector Model Using Kinect Sensor

2018 ◽  
Author(s):  
Junji Tsuda ◽  
Yudai Iimura ◽  
Makoto Imamura
Keyword(s):  
Vector Model ◽  
Kinect Sensor

Bewegtes Lernen numerischer Kompetenzen

2016 ◽  
Vol 67 (2) ◽  
pp. 102-109 ◽  
Author(s):  
Tanja Dackermann ◽  
Ursula Fischer ◽  
Ulrike Cress ◽  
Hans-Christoph Nuerk ◽  
Korbinian Moeller
Keyword(s):  
Kinect Sensor ◽  
Körperliche Bewegung

Zusammenfassung. Nicht nur in Konzepten wie der Bewegten Schule ist körperliche Bewegung zur Unterstützung des Lernens von großer Bedeutung. Inzwischen liegen erste empirische Befunde zum positiven Einfluss spezifischer körperlicher Bewegungen vor, wie zum Beispiel dem Einsatz der Finger beim Erstrechnen oder dem Laufen entlang eines Zahlenstrahls. Diese aktuellen Studien deuten darauf hin, dass Bewegung den Erwerb numerischer Konzepte unterstützen kann. Neue bewegungssensitive Eingabemedien (z. B. Tanzmatte, Kinect Sensor) ermöglichen nicht nur solche Bewegungen in der Interaktion mit einer Lernumgebung, sondern machen diese mess- und damit spezifisch nutzbar. Dadurch können Trainings realisiert werden, die gezielt den Zusammenhang von Zahlen und Raum und damit für die Ausprägung des mentalen Zahlenstrahls relevante Prozesse trainieren. Die Entwicklung solcher Trainings ist von besonderer Bedeutung, weil der mentale Zahlenstrahl wichtig für eine erfolgreiche numerisch-mathematische Entwicklung zu sein scheint. In diesem Artikel stellen wir neben den theoretischen Grundlagen eine Zusammenfassung der Ergebnisse verschiedener eigener Arbeiten zu verkörperlichten numerischen Trainings vor.

Aplikasi Rekomendasi Buku Pada Katalog Perpustakaan Universitas Multimedia Nusantara Menggunakan Vector Space Model

2018 ◽  
Vol 9 (2) ◽  
pp. 97-105
Author(s):  
Richard Firdaus Oeyliawan ◽  
Dennis Gunawan
Keyword(s):  
Vector Space ◽  
Vector Space Model ◽  
Vector Model ◽  
Library Management ◽  
Space Model ◽  
Library Management System ◽  
Index Terms ◽  
Library Catalogue ◽  
Language Sample ◽  
F Measure

Library is one of the facilities which provides information, knowledge resource, and acts as an academic helper for readers to get the information. The huge number of books which library has, usually make readers find the books with difficulty. Universitas Multimedia Nusantara uses the Senayan Library Management System (SLiMS) as the library catalogue. SLiMS has many features which help readers, but there is still no recommendation feature to help the readers finding the books which are relevant to the specific book that readers choose. The application has been developed using Vector Space Model to represent the document in vector model. The recommendation in this application is based on the similarity of the books description. Based on the testing phase using one-language sample of the relevant books, the F-Measure value gained is 55% using 0.1 as cosine similarity threshold. The books description and variety of languages affect the F-Measure value gained. Index Terms—Book Recommendation, Porter Stemmer, SLiMS Universitas Multimedia Nusantara, TF-IDF, Vector Space Model

ROI Based Post Image Quality Assessment Technique on Multiple Localized Filtering Method On Kinect HD Sensor Mobile Robot

2018 ◽  
Vol 3 (2) ◽  
pp. 145
Author(s):  
Kholilatul Wardani ◽  
Aditya Kurniawan
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Similarity Index ◽  
Assessment Model ◽  
Sensor Data ◽  
Edge Region ◽  
Kinect Sensor ◽  
Image Region ◽  
Filtering Technique

 The ROI (Region of Interest) Image Quality Assessment is an image quality assessment model based on the SSI (Structural Similarity Index) index used in the specific image region desired to be assessed. Output assessmen value used by this image assessment model is 1 which means identical and -1 which means not identical. Assessment model of ROI Quality Assessment in this research is used to measure image quality on Kinect sensor capture result used in Mobile HD Robot after applied Multiple Localized Filtering Technique. The filter is applied to each capture sensor depth result on Kinect, with the aim to eliminate structural noise that occurs in the Kinect sensor. Assessment is done by comparing image quality before filter and after filter applied to certain region. The kinect sensor will be conditioned to capture a square black object measuring 10cm x 10cm perpendicular to a homogeneous background (white with RGB code 255,255,255). The results of kinect sensor data will be taken through EWRF 3022 by visual basic 6.0 program periodically 10 times each session with frequency 1 time per minute. The results of this trial show the same similar index (value 1: identical) in the luminance, contrast, and structural section of the edge region or edge region of the specimen. The value indicates that the Multiple Localized Filtering Technique applied to the noise generated by the Kinect sensor, based on the ROI Image Quality Assessment model has no effect on the image quality generated by the sensor.

scholarly journals Bulk interactions and boundary dual of higher-spin-charged particles

2021 ◽  
Vol 2021 (3) ◽  
Author(s):  
Adrian David ◽  
Yasha Neiman
Keyword(s):  
Relative Velocity ◽  
Black Hole Solution ◽  
Vector Model ◽  
Boundary Theory ◽  
Gauge Fields ◽  
Leading Order ◽  
Gravitational Forces ◽  
Penrose Transform ◽  
Higher Spin ◽  
Non Locality

Abstract We consider higher-spin gravity in (Euclidean) AdS4, dual to a free vector model on the 3d boundary. In the bulk theory, we study the linearized version of the Didenko-Vasiliev black hole solution: a particle that couples to the gauge fields of all spins through a BPS-like pattern of charges. We study the interaction between two such particles at leading order. The sum over spins cancels the UV divergences that occur when the two particles are brought close together, for (almost) any value of the relative velocity. This is a higher-spin enhancement of supergravity’s famous feature, the cancellation of the electric and gravitational forces between two BPS particles at rest. In the holographic context, we point out that these “Didenko-Vasiliev particles” are just the bulk duals of bilocal operators in the boundary theory. For this identification, we use the Penrose transform between bulk fields and twistor functions, together with its holographic dual that relates twistor functions to boundary sources. In the resulting picture, the interaction between two Didenko-Vasiliev particles is just a geodesic Witten diagram that calculates the correlator of two boundary bilocals. We speculate on implications for a possible reformulation of the bulk theory, and for its non-locality issues.

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