Human Intention Detection and Activity Support System for Ubiquitous Sensor Room

2004 ◽  
Vol 16 (5) ◽  
pp. 545-551 ◽  
Author(s):  
Yasushi Nakauchi ◽  
◽  
Katsunori Noguchi ◽  
Pongsak Somwong ◽  
Takashi Matsubara ◽  
...  
Keyword(s):  
Human Behavior ◽  
Support System ◽  
Learning System ◽  
Experimental Results ◽  
Behavior Recognition ◽  
Behavior Detection ◽  
Human Intention ◽  
Rf Tag ◽  
Meaningful Behavior

In this paper, we propose the human behavior detection and activity support environment Vivid Room. Behavior in Vivid Room is detected by numerous sensors built into the room, i.e., magnet sensors for doors and drawers, microswitches for chairs, and ID tags for personnel, and information is collected by a sensor server via an RF tag system and LAN. To recognize meaningful behavior, e.g., studying, eating, and resting, we use ID4-based learning system. We also developed activity support using sound and voice taking into account human behavior in the room. Experimental results confirmed the accuracy of behavior recognition and the quality of support.

Sequential Human Behavior Recognition for Cooking-Support Robots

2005 ◽  
Vol 17 (6) ◽  
pp. 717-724 ◽  
Author(s):  
Tsukasa Fukuda ◽  
◽  
Yasushi Nakauchi ◽  
Katsunori Noguchi ◽  
Takashi Matsubara ◽  
...  
Keyword(s):  
Information Technology ◽  
Activity Recognition ◽  
Human Behavior ◽  
Experimental Results ◽  
Behavior Recognition ◽  
Household Appliances ◽  
Recent Advances ◽  
The Subject ◽  
Human Behavior Recognition

Recent advances in information technology are making electric household appliances computerized and networked. If our environments could intuit our activities, e.g., by sensors, novel services taking anticipated actions into account would become possible. We propose activity recognition that infers a subject’s next action based on previously observed behaviors. We developed a cooking-support robot that suggests by voice and gesture what the subject may want to do next. Experimental results confirmed feasibility of the inference and the quality of support.

scholarly journals iEVENT INFORMATION : MEDIA INFORMASI DAN PUBLIKASI JADWAL KEGIATAN KAMPUS

CCIT Journal ◽  
2013 ◽  
Vol 6 (3) ◽  
pp. 372-389
Author(s):  
Ary Budi Warsito ◽  
Untung Rahardja ◽  
Aghnia Sabila
Keyword(s):  
Reference Material ◽  
Support System ◽  
Teaching And Learning ◽  
New Technology ◽  
Learning System ◽  
Quality Of Education ◽  
Wide Range ◽  
The World ◽  
Information Media

Liabilities to document an event in the world of education is the provision that created in order to improve the quality and the quality of education in Indonesia. As well as reference material that can be used as an ingredient to evaluate a wide range of events that have been implemented. So, to support this Perguruan Tinggi Raharja which is one institution that engages in computer science is always innovative and creative in order to solve these problems, by applying an iLearning learning system, based on 4B (Belajar, Bekerja, Bermain, and Berdoa) by using a new technology device, iPad. In iLearning, learning system of teaching and learning process requires the applications contained in the iPad. Based on the results of surveys and studies have been performed, have not all applications support are included in the iPad, especially applications that can support the process of making and publication about events that are held, so it created one of the supporting applications as one of the iEvent Information applications that support system, especially in terms of learning iLearning publicize campus events that have been held or to be carried out.

The Algorithm Research of Lip Behavior Detection Based on LBP Operator

2013 ◽  
Vol 850-851 ◽  
pp. 784-787
Author(s):  
Lie Chen ◽  
Wei Wang ◽  
Pu Li ◽  
Jian Bo Qin ◽  
Chao Li
Keyword(s):  
Feature Extraction ◽  
Real Time ◽  
Video Processing ◽  
Experimental Results ◽  
Control Software ◽  
Behavior Recognition ◽  
Behavior Detection ◽  
Detection And Identification ◽  
And Behavior ◽  
Video Control

The lip behavior detection is work foundation by utilizing video control software behavior, which including the lip positioning, feature extraction and behavior recognition. It is proposed that we utilize LBP operator to conduct lip feature extraction in this article, and adopt SVM to conduct classification and recognition of behavior. Experimental results show that the algorithm can effectively achieve detection and identification of lip behavior in the article, which meet the real-time and robustness in video processing.

Risks and economic security of the life support system of citizens in the field of housing and communal services

2020 ◽  
Vol 19 (3) ◽  
pp. 175-191
Author(s):  
Vladimir M. Yakovlev
Keyword(s):  
Quality Of Life ◽  
Russian Federation ◽  
Support System ◽  
Internal Control ◽  
Life Support ◽  
Economic Security ◽  
Security System ◽  
Life Support System ◽  
The Russian Federation

The article analyzes the problems of the manifestation of risks of shadow and criminal activity in the life support system of citizens of the Russian Federation, the dissemination of which requires the development of effective measures to prevent and eliminate them. The most important issue is the formation of an effective economic security system with an emphasis on the new quality of life support for citizens of the Russian Federation in an adequate combination with the high growth rate of NTP in the Russian economy. The new technological structure emerging from the new achievements of scientific and technological progress involves the harmonization of the pace of scientific and technological development, combined with an adequate improvement in the quality of life support for citizens performing such achievements. Owing to this fact formation of new quality of the housing and communal services (HCS) as bases of life support of citizens becomes a prerequisite of increase in performance and intellectualization of human work. With this in mind, early recognition, prevention and elimination of risks of shadow and criminal activities in the housing and communal services system (housing and communal services) is considered as a significant mechanism to increase the effectiveness of the system of comfortable life support for citizens of the Russian Federation. The existing lag in the development of a high-quality and comfortable system for providing citizens of Russia on the basis of housing and communal services, the subject of which is the provision of quality and comfortable services, influenced by numerous risks of shadow and criminal influence, becomes a condition for intensifying economic development and increasing labor productivity on this basis. The need to develop and use modern scientific and technical achievements, especially in the field of digitalization, is emphasized in order to increase the efficiency of the economic security system of housing and communal services organizations based on innovative control mechanisms - internal control, audit, compliance control, taking into account financial investigations in order to prevent and eliminate the risks of shadow and criminal activities in the housing and communal services system.

DISTANCE EDUCATION IN THE CONTEXT OF GLOBALIZATION: PROBLEMS, SEARCH FOR A SOLUTION// Social Sciences: Achievements and Prospects Journal 4(12), 2019/ OEAPS Inc.(Open European Academy of Public Sciences); Chief Editor Mark Freeman - Barcelona, Spain. 16.05.2019: OEAPS Inc., 2019. - pp. 29-33.

2019 ◽  
Author(s):  
Zhanna Borisovna Erzhanova ◽  
Olga Alexandrovna Manankova
Keyword(s):  
Social Sciences ◽  
Quality Of Life ◽  
Distance Education ◽  
Chief Editor ◽  
Learning System ◽  
Spiritual Needs ◽  
European Academy ◽  
Distance Learning System ◽  
Teachers And Students

The article deals with the analysis of distance education in the modern globalization, as well as the problems and difficulties faced by teachers and students in the process of this form of training. Distance learning system provides an excellent opportunity for higher education to those who did not have or want to get a second education with the aim of improving the quality of life, as well as their material and spiritual needs. This article, highlighting some of the difficulties and problems of training in modern globalization, can help teachers to allow and overcome some of these new problems.

Hybrid features prediction model of movie quality using Multi-machine learning techniques for effective business resource planning

2021 ◽  
Vol 40 (5) ◽  
pp. 9361-9382 ◽  
Author(s):  
Naeem Iqbal ◽  
Rashid Ahmad ◽  
Faisal Jamil ◽  
Do-Hyeun Kim
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Resource Planning ◽  
Experimental Results ◽  
Quality Prediction ◽  
Classification Models ◽  
Hybrid Features ◽  
Social Media Data ◽  
Media Data

Quality prediction plays an essential role in the business outcome of the product. Due to the business interest of the concept, it has extensively been studied in the last few years. Advancement in machine learning (ML) techniques and with the advent of robust and sophisticated ML algorithms, it is required to analyze the factors influencing the success of the movies. This paper presents a hybrid features prediction model based on pre-released and social media data features using multiple ML techniques to predict the quality of the pre-released movies for effective business resource planning. This study aims to integrate pre-released and social media data features to form a hybrid features-based movie quality prediction (MQP) model. The proposed model comprises of two different experimental models; (i) predict movies quality using the original set of features and (ii) develop a subset of features based on principle component analysis technique to predict movies success class. This work employ and implement different ML-based classification models, such as Decision Tree (DT), Support Vector Machines with the linear and quadratic kernel (L-SVM and Q-SVM), Logistic Regression (LR), Bagged Tree (BT) and Boosted Tree (BOT), to predict the quality of the movies. Different performance measures are utilized to evaluate the performance of the proposed ML-based classification models, such as Accuracy (AC), Precision (PR), Recall (RE), and F-Measure (FM). The experimental results reveal that BT and BOT classifiers performed accurately and produced high accuracy compared to other classifiers, such as DT, LR, LSVM, and Q-SVM. The BT and BOT classifiers achieved an accuracy of 90.1% and 89.7%, which shows an efficiency of the proposed MQP model compared to other state-of-art- techniques. The proposed work is also compared with existing prediction models, and experimental results indicate that the proposed MQP model performed slightly better compared to other models. The experimental results will help the movies industry to formulate business resources effectively, such as investment, number of screens, and release date planning, etc.

scholarly journals Identification of the State of Electrical Appliances with the Use of a Pulse Signal Generator

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 673
Author(s):  
Augustyn Wójcik ◽  
Piotr Bilski ◽  
Robert Łukaszewski ◽  
Krzysztof Dowalla ◽  
Ryszard Kowalik
Keyword(s):  
Measurement System ◽  
Cross Correlation ◽  
Pulse Signal ◽  
Signal Generator ◽  
Experimental Results ◽  
The Novel ◽  
End User ◽  
Standard Classification ◽  
Electrical Appliance

The paper presents the novel HF-GEN method for determining the characteristics of Electrical Appliance (EA) operating in the end-user environment. The method includes a measurement system that uses a pulse signal generator to improve the quality of EA identification. Its structure and the principles of operation are presented. A method for determining the characteristics of the current signals’ transients using the cross-correlation is described. Its result is the appliance signature with a set of features characterizing its state of operation. The quality of the obtained signature is evaluated in the standard classification task with the aim of identifying the particular appliance’s state based on the analysis of features by three independent algorithms. Experimental results for 15 EAs categories show the usefulness of the proposed approach.

scholarly journals Learning As It Happens: A Decade of Analyzing and Shaping a Large-Scale Online Learning System

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Matthieu J. S. Brinkhuis ◽  
Alexander O. Savi ◽  
Abe D. Hofman ◽  
Frederik Coomans ◽  
Han L. J. Van der Maas ◽  
...  
Keyword(s):  
Online Learning ◽  
Large Scale ◽  
Response Times ◽  
Learning System ◽  
Learning Gains ◽  
Online Experimentation ◽  
Quality Of Fit ◽  
Item Reliability ◽  
Made In

With the advent of computers in education, and the ample availability of online learning and practice environments, enormous amounts of data on learning become available. The purpose of this paper is to present a decade of experience with analyzing and improving an online practice environment for math, which has thus far recorded over a billion responses. We present the methods we use to both steer and analyze this system in real-time, using scoring rules on accuracy and response times, a tailored rating system to provide both learners and items with current ability and difficulty ratings, and an adaptive engine that matches learners to items. Moreover, we explore the quality of fit by means of prediction accuracy and parallel item reliability. Limitations and pitfalls are discussed by diagnosing sources of misfit, like violations of unidimensionality and unforeseen dynamics. Finally, directions for development are discussed, including embedded learning analytics and a focus on online experimentation to evaluate both the system itself and the users’ learning gains. Though many challenges remain open, we believe that large steps have been made in providing methods to efficiently manage and research educational big data from a massive online learning system.

scholarly journals Contour Detection for Fibre of Preserved Szechuan Pickle Based on Dilated Convolution

2019 ◽  
Vol 9 (13) ◽  
pp. 2684 ◽  
Author(s):  
Hongyang Li ◽  
Lizhuang Liu ◽  
Zhenqi Han ◽  
Dan Zhao
Keyword(s):  
Edge Detection ◽  
State Of The Art ◽  
Contour Detection ◽  
Experimental Results ◽  
Contour Method ◽  
Class Differences ◽  
Dilated Convolution ◽  
The Mean ◽  
Art Performance

Peeling fibre is an indispensable process in the production of preserved Szechuan pickle, the accuracy of which can significantly influence the quality of the products, and thus the contour method of fibre detection, as a core algorithm of the automatic peeling device, is studied. The fibre contour is a kind of non-salient contour, characterized by big intra-class differences and small inter-class differences, meaning that the feature of the contour is not discriminative. The method called dilated-holistically-nested edge detection (Dilated-HED) is proposed to detect the fibre contour, which is built based on the HED network and dilated convolution. The experimental results for our dataset show that the Pixel Accuracy (PA) is 99.52% and the Mean Intersection over Union (MIoU) is 49.99%, achieving state-of-the-art performance.

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