Resource Configuration for the Collaborative Development of Product

2012 ◽  
Vol 215-216 ◽  
pp. 540-543
Author(s):  
Fu Hong Zeng ◽  
Lan Hua Zhou
Keyword(s):  
Mobile Phone ◽  
Large Scale ◽  
Collaborative Planning ◽  
Matching Model ◽  
Collaborative Development ◽  
Resource Configuration ◽  
Manufacturing Enterprises

In order to meet the reasonable matching of resource for collaborative development of products in manufacturing enterprises including involvement of suppliers on a large scale, a Generalized Design Resource Pool (GDRP) and It’s Resource Particles (RP) are defined, a multi-project collaborative planning and resource particles constraint-matching model with realization algorithm is presented. Finally, a case of developing mobile phone to an enterprise is presented to verify the effectiveness and feasibility of the presented approach.

Analyzing the workload dynamics of a mobile phone network in large scale events

2012 ◽  
Author(s):  
Faber Henrique Zacarias Xavier ◽  
Lucas Maia Silveira ◽  
Jussara Marques de Almeida ◽  
Artur Ziviani ◽  
Carlos Henrique Silva Malab ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Large Scale ◽  
Mobile Phone Network

feelabuzz

2011 ◽  
Vol 3 (2) ◽  
pp. 65-74 ◽  
Author(s):  
Christian Leichsenring ◽  
René Tünnermann ◽  
Thomas Hermann
Keyword(s):  
Pattern Recognition ◽  
Mobile Phone ◽  
Large Scale ◽  
User Study ◽  
The Other ◽  
Direct Communication ◽  
Pattern Recognition Techniques

Touch can create a feeling of intimacy and connectedness. This work proposes feelabuzz, a system to transmit movements of one mobile phone to the vibration actuator of another one. This is done in a direct, non-abstract way, without the use of pattern recognition techniques in order not to destroy the feel for the other. The tactile channel enables direct communication, i. e. what another person explicitly signals, as well as implicit context communication, the complex movements any activity consists of or even those that are produced by the environment. This paper explores the potential of this approach, presents the mapping use and discusses further possible development beyond the existing prototype to enable a large-scale user study.

scholarly journals Local Feature-Aware Siamese Matching Model for Vehicle Re-Identification

2020 ◽  
Vol 10 (7) ◽  
pp. 2474
Author(s):  
Honglie Wang ◽  
Shouqian Sun ◽  
Lunan Zhou ◽  
Lilin Guo ◽  
Xin Min ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Large Scale ◽  
Feature Matching ◽  
State Of The Art ◽  
Intelligent Transportation ◽  
The State ◽  
Local Feature ◽  
Public Security ◽  
Matching Model ◽  
Image Deformation

Vehicle re-identification is attracting an increasing amount of attention in intelligent transportation and is widely used in public security. In comparison to person re-identification, vehicle re-identification is more challenging because vehicles with different IDs are generated by a unified pipeline and cannot only be distinguished based on the subtle differences in their features such as lights, ornaments, and decorations. In this paper, we propose a local feature-aware Siamese matching model for vehicle re-identification. A local feature-aware Siamese matching model focuses on the informative parts in an image and these are the parts most likely to differ among vehicles with different IDs. In addition, we utilize Siamese feature matching to better supervise our attention. Furthermore, a perspective transformer network, which can eliminate image deformation, has been designed for feature extraction. We have conducted extensive experiments on three large-scale vehicle re-ID datasets, i.e., VeRi-776, VehicleID, and PKU-VD, and the results show that our method is superior to the state-of-the-art methods.

The Study on Personalized Guidance in Intelligent Library Based on Multi-Agent

2010 ◽  
Vol 143-144 ◽  
pp. 18-22
Author(s):  
Zhi Gang Ji
Keyword(s):  
Environmental Factors ◽  
Mobile Phone ◽  
Mobile Agents ◽  
Large Scale ◽  
Complete Analysis ◽  
Personal Favorite ◽  
Multi Agent ◽  
Real Time Information ◽  
Moving Path ◽  
Time Information

The system integrated RFID technique, wireless and mobile phone which apply in the intelligent guidance and book management of large scale of library, and to collate the real time information by different functional mobile agents to provide customized information and service, according to the favorite of each reader. Meanwhile, to display forgoing information by multimedia video of book introduction for readers to replace traditional looking for some particular book provide the customized knowledge search style and effective book introduction. In addition, our article set forth System Environment Aware and Recommending Mechanism which bring up considerations for customized information, besides to analyzing personal favorite, should think about the environmental factors in the library, such as, moving path of readers, service and so on such synthetic factors to have a complete analysis and consideration, so as to know what the most appropriate guided service and information is for readers and to make it as a customized intellectual guided service.

Large scale particle image velocimetry measurement of river surface velocity based on images captured by a camera of the mobile phone

2020 ◽  
Author(s):  
Wen-Cheng Liu ◽  
Wei-Che Huang
Keyword(s):  
Particle Image Velocimetry ◽  
Mobile Phone ◽  
Large Scale ◽  
Particle Image ◽  
Digital Camera ◽  
Real Space ◽  
Surface Velocity ◽  
Image Velocimetry ◽  
Scale Particle ◽  
Perspective Center

<p>In this research, we conducted LSPIV (Large Scale Particle Image Velocimetry) measurements to measure river surface velocity based on images recorded by mobile phone. The realization of this research is based on the developments of two products. The first one is the digital camera, which has been combined with the mobile phone after several years of development. The second one is the three-axis accelerometer, which can measure the attitude of the object. A three-axis accelerometer is one of the necessary parts of the mobile phone nowadays, as many functions of the mobile phone, such as step counting, Do Not Disturb mode, games, require the detection of attitude.</p><p>In LSPIV, there are nine parameters of the collinear equation. Three of parameters are the coordinates of the perspective center in the image space (focus distance d and image center position (u, v)), which can be determined in advance in the laboratory; the other three parameters are the coordinates (x, y, z) of the perspective center in real space, which can be set to (0, 0, 0); the last three parameters are the attitude of the camera (i.e., the mobile phone), which is determined by the depression angle, the horizontal angle, and the left-right rotation angle and can be measured by three-axis accelerometer. Therefore, river surface velocity could be analyzed by LSPIV with not only continuous images captured by a camera of the mobile phone but also the acceleration values obtained by the three-axis accelerometer when each image was captured.</p><p>In the present study, Yufeng gauging station, which is in the upstream catchment of the Shihmen Reservoir in Taiwan, is selected as the study site. Two other measurement methods were used to measure the river surface velocity and the comparison was conducted. One is using a handheld digital flow meter and another is using LSPIV with control points to calculate the parameters for measuring the river surface velocity.</p>

scholarly journals A Component Approach to Collaborative Scientific Software Development: Tools and Techniques Utilized by the Quantum Chemistry Science Application Partnership

2008 ◽  
Vol 16 (4) ◽  
pp. 287-296 ◽  
Author(s):  
Joseph P. Kenny ◽  
Curtis L. Janssen ◽  
Mark S. Gordon ◽  
Masha Sosonkina ◽  
Theresa L. Windus
Keyword(s):  
Software Engineering ◽  
Quantum Chemistry ◽  
Large Scale ◽  
Programming Model ◽  
Scientific Software ◽  
Collaborative Development ◽  
Common Component ◽  
Component Approach ◽  
Common Component Architecture ◽  
Science Application

Cutting-edge scientific computing software is complex, increasingly involving the coupling of multiple packages to combine advanced algorithms or simulations at multiple physical scales. Component-based software engineering (CBSE) has been advanced as a technique for managing this complexity, and complex component applications have been created in the quantum chemistry domain, as well as several other simulation areas, using the component model advocated by the Common Component Architecture (CCA) Forum. While programming models do indeed enable sound software engineering practices, the selection of programming model is just one building block in a comprehensive approach to large-scale collaborative development which must also address interface and data standardization, and language and package interoperability. We provide an overview of the development approach utilized within the Quantum Chemistry Science Application Partnership, identifying design challenges, describing the techniques which we have adopted to address these challenges and highlighting the advantages which the CCA approach offers for collaborative development.

scholarly journals A Framework for Spatial Interaction Analysis Based on Large-Scale Mobile Phone Data

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Weifeng Li ◽  
Xiaoyun Cheng ◽  
Zhengyu Duan ◽  
Dongyuan Yang ◽  
Gaohua Guo
Keyword(s):  
Mobile Phone ◽  
Large Scale ◽  
Pattern Mining ◽  
Interaction Analysis ◽  
Spatial Interaction ◽  
Frequent Pattern Mining ◽  
Frequent Pattern ◽  
Mobile Phone Data ◽  
Interaction Patterns ◽  
Critical Activity

The overall understanding of spatial interaction and the exact knowledge of its dynamic evolution are required in the urban planning and transportation planning. This study aimed to analyze the spatial interaction based on the large-scale mobile phone data. The newly arisen mass dataset required a new methodology which was compatible with its peculiar characteristics. A three-stage framework was proposed in this paper, including data preprocessing, critical activity identification, and spatial interaction measurement. The proposed framework introduced the frequent pattern mining and measured the spatial interaction by the obtained association. A case study of three communities in Shanghai was carried out as verification of proposed method and demonstration of its practical application. The spatial interaction patterns and the representative features proved the rationality of the proposed framework.

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