Presentation of a Simulation Tool for COVID-19 Infection Analysis in Indoor Space

Author(s):  
Ki Joune Li ◽  
Arman Assankhanov
Keyword(s):  
2020 ◽  
Vol 64 (4) ◽  
pp. 40404-1-40404-16
Author(s):  
I.-J. Ding ◽  
C.-M. Ruan

Abstract With rapid developments in techniques related to the internet of things, smart service applications such as voice-command-based speech recognition and smart care applications such as context-aware-based emotion recognition will gain much attention and potentially be a requirement in smart home or office environments. In such intelligence applications, identity recognition of the specific member in indoor spaces will be a crucial issue. In this study, a combined audio-visual identity recognition approach was developed. In this approach, visual information obtained from face detection was incorporated into acoustic Gaussian likelihood calculations for constructing speaker classification trees to significantly enhance the Gaussian mixture model (GMM)-based speaker recognition method. This study considered the privacy of the monitored person and reduced the degree of surveillance. Moreover, the popular Kinect sensor device containing a microphone array was adopted to obtain acoustic voice data from the person. The proposed audio-visual identity recognition approach deploys only two cameras in a specific indoor space for conveniently performing face detection and quickly determining the total number of people in the specific space. Such information pertaining to the number of people in the indoor space obtained using face detection was utilized to effectively regulate the accurate GMM speaker classification tree design. Two face-detection-regulated speaker classification tree schemes are presented for the GMM speaker recognition method in this study—the binary speaker classification tree (GMM-BT) and the non-binary speaker classification tree (GMM-NBT). The proposed GMM-BT and GMM-NBT methods achieve excellent identity recognition rates of 84.28% and 83%, respectively; both values are higher than the rate of the conventional GMM approach (80.5%). Moreover, as the extremely complex calculations of face recognition in general audio-visual speaker recognition tasks are not required, the proposed approach is rapid and efficient with only a slight increment of 0.051 s in the average recognition time.


Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.


2018 ◽  
Vol 12 (1) ◽  
pp. 67
Author(s):  
Widi Cahya Yudhanta

Abstract: XT Square is a kind of building having cultural commerciality function. The existence of this building is very important in supporting artists who live within it. Layout pattern becomes one of accessibility factors in XT Square area. Configuration and visibility shape influence the use of space pattern and people’s interest pattern in accessing every space in the building. The setting system between indoor space and outdoor space will give an easy effort for the people in living in and recognizing the space that it can be accessed comfortably. Configuration and visibility approachs are used in order to analyse the accessibility level of the space usage in that area. The result of the visibility and configuration analysis shows that there are many spaces having low integration that blocks do not integrated strongly and low visibility influences the appearance of the building in that area. This research suggest to open the visibility barrier and give high visibility that it can be recognized.Keywords: configuration, accessibility, visibility, system setting Abstraksi: XT Square merupakan bangunan dengan fungsi komersial budaya. Keberadaanya menjadi sangat penting guna mendukung pengrajin kesenian dan budaya di Kota Yogyakarta. Pola layout menjadi salah satu faktor aksesibilitas dalam kawasan XT Square. Bentuk konfigurasi dan visibilitas mempengaruhi pola pengunaan ruang dan pola keterarikan orang dalam mengakses setiap ruang dalam kawasan. Sistem setting antar ruang dalam dan ruang luar menjadikan kemudahan penguna dalam menempati ruang dan pengenalan ruang sehingga ruang menjadi nyaman untuk diakses. Pendekatan yang digunakan adalah pendekatan konfigurasi dan visibilitas, guna menganalisis tingkat aksesibilitas pengunaan ruang dalam kawasan. Hasil analisis visibilitas dan konfigurasi menunjukkan bahwa terdapat banyak ruang dengan integrasi lemah sehingga blok tidak saling terintegrasi dengan kuat serta rendahnya visibilitas setiap bangunan dalam kawasan. Penelitian ini memberikan rekomendasi dengan membuka pengahalang visibilitas dan memberi kantung tangkapan visibilitas agar ruang mudah dikenali.Kata kunci: konfigurasi, aksesibilitas, visibilitas, sistem setting


2014 ◽  
Vol 13 (8) ◽  
pp. 4723-4728
Author(s):  
Pratiksha Saxena ◽  
Smt. Anjali

In this paper, an integrated simulation optimization model for the assignment problems is developed. An effective algorithm is developed to evaluate and analyze the back-end stored simulation results. This paper proposes simulation tool SIMASI (Simulation of assignment models) to simulate assignment models. SIMASI is a tool which simulates and computes the results of different assignment models. This tool is programmed in DOT.NET and is based on analytical approach to guide optimization strategy. Objective of this paper is to provide a user friendly simulation tool which gives optimized assignment model results. Simulation is carried out by providing the required values of matrix for resource and destination requirements and result is stored in the database for further comparison and study. Result is obtained in terms of the performance measurements of classical models of assignment system. This simulation tool is interfaced with an optimization procedure based on classical models of assignment system. The simulation results are obtained and analyzed rigorously with the help of numerical examples. 


1998 ◽  
Vol 38 (2) ◽  
pp. 201-208
Author(s):  
M. W. Milke

A need exists for tools to improve evaluations of the economics of landfill gas recovery. A computer simulation tool is presented. It uses a spreadsheet computer program to calculate the economics for a fixed set of inputs, and a simulation program to consider variations in the inputs. The method calculates the methane generated each year, and estimates the costs and incomes associated with the recovery and sale of the gas. Base case results are presented for a city of 500,000. An uncertainty analysis for a hypothetical case is presented. The simulation results can help an analyst see the key variables affecting the economics of a project.


Author(s):  
Alexandre Eghiaian ◽  
Antony Lanceleur ◽  
Anne Laure Le Maho ◽  
Arnaud Pouilly ◽  
Pierre Meudal de Kerlidy ◽  
...  
Keyword(s):  

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