Evolutionary design method of probabilistic finite state machine for swarm robots aggregation

2018 ◽  
Vol 23 (4) ◽  
pp. 600-608 ◽  
Author(s):  
Yoshiaki Katada
Keyword(s):  
Finite State Machine ◽  
Design Method ◽  
State Machine ◽  
Evolutionary Design ◽  
Swarm Robots ◽  
Finite State

Design of Finite State Machine Based on VHDL

2012 ◽  
Vol 529 ◽  
pp. 335-338 ◽  
Author(s):  
Zhi Ping Zhu ◽  
Yong Qin Liu ◽  
Hong Sheng ◽  
Feng Ye
Keyword(s):  
Finite State Machine ◽  
Design Method ◽  
State Machine ◽  
Machine Design ◽  
General State ◽  
Encoding Scheme ◽  
Advantages And Disadvantages ◽  
Finite State

Different encoding scheme and method for process description of state machine are analyzed in detail, and the advantages and disadvantages of each are pointed out. The general state machine design method is given by a specific example program, according to the actual need, designers can choose different encoding scheme and method for process description to design.

scholarly journals New Normal After Education Game Design Pandemic Uses Approaches Agile Scrum Application of Finite State Machine (FSM) Method

2021 ◽  
Vol 5 (2) ◽  
pp. 111
Author(s):  
Tri Ferga Prasetyo ◽  
Ade Bastian ◽  
Lidya Tresna Wahyuni
Keyword(s):  
Game Design ◽  
Finite State Machine ◽  
Design Method ◽  
System Development ◽  
State Machine ◽  
Educational Game ◽  
New Normal ◽  
The Public ◽  
Finite State ◽  
Html 5

Game is an application that infers human behavior into software, and players who play the game feel they are entering the game world. Games can be used as a medium for information and education. The current rise of Covid-19 requires every individual to implement health protocols in their daily life. This term is called new normal. New normal is a change in behavior to continue carrying out normal activities but with the addition of implementing health protocols to prevent Covid-19 transmission. Unfortunately, in everyday life, the application of the new normal is less effective so that in one area, new cases have emerged and the PSBB must be re-applied. The new normal themed educational game can be a fun information medium for the community, with the New Normal After Pandemic educational game, it is hoped that it can educate the public in implementing health protocol rules. This game was created using Construct 2 software because it is based on HTML 5 which is specifically for 2D platforms. 2D designs are created using Corel Draw X7, Easy Paint Tools SAI and Adobe Photoshop. The final result of this study is a game application that applies the FSM (Finite State Machine) control system design method in each level rule and uses the Agile Scrum system development method with a process of 2x sprint iterations

scholarly journals FPGA Technology and Sequential Finite State Machine Method

2018 ◽  
Vol 127 (1D) ◽  
pp. 55
Author(s):  
Nguyen Khanh Quang ◽  
Nguyen Ho Quang
Keyword(s):  
Finite State Machine ◽  
Design Method ◽  
State Machine ◽  
Machine Method ◽  
Gate Arrays ◽  
Design Engineers ◽  
Finite State ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
Basic Level

<em>The implementation of complex control algorithms on an FPGA</em> (Field programmable gate arrays)<em> is still at a basic level. There is no fixed method to develop algorithms on these devices because of their general characteristics. Therefore, the design engineers are still on the way to find the good approaches to optimize the implementation of algorithms on FPGAs [1-7]. This paper presents and demonstrates a sequential finite state machine design method that can solve the issue of optimal usage of the limited resources on an FPGA.</em>

MARKOV MATHEMATICAL MODEL OF DYNAMIC ADAPTIVE TESTING OF AN ACTIVE AGENT

2018 ◽  
pp. 29-35
Author(s):  
N. V. Brovka ◽  
P. P. Dyachuk ◽  
M. V. Noskov ◽  
I. P. Peregudova
Keyword(s):  
Mathematical Model ◽  
Finite State Machine ◽  
Active Agent ◽  
Adaptive Testing ◽  
State Machine ◽  
Learning Activities ◽  
Independent Learning ◽  
Complex Object ◽  
Total Reward ◽  
Finite State

The problem and the goal.The urgency of the problem of mathematical description of dynamic adaptive testing is due to the need to diagnose the cognitive abilities of students for independent learning activities. The goal of the article is to develop a Markov mathematical model of the interaction of an active agent (AA) with the Liquidator state machine, canceling incorrect actions, which will allow mathematically describe dynamic adaptive testing with an estimated feedback.The research methodologyconsists of an analysis of the results of research by domestic and foreign scientists on dynamic adaptive testing in education, namely: an activity approach that implements AA developmental problem-solving training; organizational and technological approach to managing the actions of AA in terms of evaluative feedback; Markow’s theory of cement and reinforcement learning.Results.On the basis of the theory of Markov processes, a Markov mathematical model of the interaction of an active agent with a finite state machine, canceling incorrect actions, was developed. This allows you to develop a model for diagnosing the procedural characteristics of students ‘learning activities, including: building axiograms of total reward for students’ actions; probability distribution of states of the solution of the problem of identifying elements of the structure of a complex object calculate the number of AA actions required to achieve the target state depending on the number of elements that need to be identified; construct a scatter plot of active agents by target states in space (R, k), where R is the total reward AA, k is the number of actions performed.Conclusion.Markov’s mathematical model of the interaction of an active agent with a finite state machine, canceling wrong actions allows you to design dynamic adaptive tests and diagnostics of changes in the procedural characteristics of educational activities. The results and conclusions allow to formulate the principles of dynamic adaptive testing based on the estimated feedback.

PENERAPAN FINITE STATE MACHINE UNTUK PENGENDALIAN ANIMASI PADA VIDEO GAME RPG NUSANTARA LEGACY

2018 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Mustofa Mustofa ◽  
Sidiq Sidiq ◽  
Eva Rahmawati
Keyword(s):  
Life Cycle ◽  
Video Game ◽  
Finite State Machine ◽  
Role Playing ◽  
State Machine ◽  
Game Development ◽  
Development Life Cycle ◽  
Finite State ◽  
Role Playing Game

Perkembangan dunia yang dinamis mendorong percepatan perkembangan teknologi dan informasi. Dengan dorongan tersebut komputer yang dulunya dibuat hanya untuk membantu pekerjaan manusia sekarang berkembang menjadi sarana hiburan, permainan, komunikasi dan lain sebagainya. Dalam sektor hiburan salah satu industri yang sedang menjadi pusat perhatian adalah industri video game. Begitu banyaknya produk video game asing yang masuk ke dalam negeri ini memberikan tantangan kepada bangsa ini. Tentunya video game asing yang masuk ke negara ini membawa banyak unsur kebudayaan negara lain. Ini semakin membuat kebudayaan nusantara semakin tergeserkan dengan serangan kebudayaan asing melalui berbagai media. Maka dari itu peneliti mencoba untuk menerapkan Finite State Machine dalam merancang sebuah video game RPG (Role-Playing game) yang memperkenalkan kebudayaan. Dalam perancangan video game ini peneliti menggunakan metode GDLC(Game Development Life Cycle) agar penelitian ini berjalan secara sistematis. Dalam suatu perancangan video game tedapat banyak elemen, pada penelitian ini penulis lebih fokus pada pengendalian animasi karakter yang dimainkan pada video game ini. Dari perancangan yang dilakukan, disimpulkan bahwa Finite State Machine dapat digunakan untuk pengendalian animasi yang baik pada video game RPG. Diharapkan video game ini dapat menjadi salah satu media untuk mengenalkan kebudayaan nusantara

Human action recognition using simple geometric features and a finite state machine

2013 ◽  
Vol 18 (2-3) ◽  
pp. 49-60 ◽  
Author(s):  
Damian Dudzńiski ◽  
Tomasz Kryjak ◽  
Zbigniew Mikrut
Keyword(s):  
Action Recognition ◽  
Finite State Machine ◽  
Recognition Rate ◽  
Human Action Recognition ◽  
Human Action ◽  
Video Stream ◽  
State Machine ◽  
Recognition Algorithm ◽  
Finite State ◽  
Correct Recognition Rate

Abstract In this paper a human action recognition algorithm, which uses background generation with shadow elimination, silhouette description based on simple geometrical features and a finite state machine for recognizing particular actions is described. The performed tests indicate that this approach obtains a 81 % correct recognition rate allowing real-time image processing of a 360 X 288 video stream.

User permission isolation model based on finite state machine

2013 ◽  
Vol 33 (1) ◽  
pp. 149-152
Author(s):  
Jianjun LI ◽  
Yixiang JIANG ◽  
Jie QIAN ◽  
Wei LI ◽  
Yu LI
Keyword(s):  
Finite State Machine ◽  
State Machine ◽  
Model Based ◽  
Finite State

Adaptive Learning using Finite State Machine Logic

2020 ◽  
Author(s):  
Muffie Wiebe Waterman ◽  
Dennis C. Frezzo ◽  
Michael X. Wang
Keyword(s):  
Adaptive Learning ◽  
Finite State Machine ◽  
State Machine ◽  
Finite State
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