scholarly journals A Versatile Stochastic Duel Game

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 678 ◽  
Author(s):  
Song-Kyoo (Amang) Kim
Keyword(s):  
Decision Making ◽  
Time Domain ◽  
Stochastic Game ◽  
Business Case ◽  
Optimal Number ◽  
Game Model ◽  
Strategic Decisions ◽  
The Time Domain ◽  
Continuum Of States ◽  
Number Of Iterations

This paper deals with a standard stochastic game model with a continuum of states under the duel-type setup. It newly proposes a hybrid model of game theory and the fluctuation process, which could be applied for various practical decision making situations. The unique theoretical stochastic game model is targeted to analyze a two-person duel-type game in the time domain. The parameters for strategic decisions including the moments of crossings, prior crossings, and the optimal number of iterations to get the highest winning chance are obtained by the compact closed joint functional. This paper also demonstrates the usage of a new time based stochastic game model by analyzing a conventional duel game model in the distance domain and briefly explains how to build strategies for an atypical business case to show how this theoretical model works.

Indoor Multipath Interference Cancellation Using MMSE-CMA Estimator with 2.45 GHz of MIMO Channel Measurement

2015 ◽  
Vol 781 ◽  
pp. 89-92 ◽  
Author(s):  
Atikom Suppayasarn ◽  
Sarun Duangsuwan ◽  
Sathaporn Promwong
Keyword(s):  
Wireless Communication ◽  
Time Domain ◽  
Interference Cancellation ◽  
Communication Systems ◽  
Mimo Channel ◽  
Wireless Communication Systems ◽  
Multipath Interference ◽  
Channel Characterization ◽  
The Time Domain ◽  
Number Of Iterations

This paper studies an indoor multipath interference cancellation using the MMSE-CMA estimator for the unlicensed at 2.45 GHz of wireless communication systems. The proposed of the MMSE-CMA estimator can mitigate a superposition of the multipath interference at the receiver. As the result, the magnitudes of the channel characterization in the time domain are shown between the measured and estimated channel as a difference of number of iterations. Furthermore, we also confirm the multipath interference cancellation with the eye diagrams.

scholarly journals Knowledge friction in universities, approach from game theory

2020 ◽  
pp. 26-50
Author(s):  
Marianela Talavera-Ruz ◽  
Graciela Lara- Gómez ◽  
Macario Valdez-Reséndiz
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Conflict Of Interest ◽  
Game Model ◽  
Strategic Decisions ◽  
Knowledge Processes ◽  
Strategic Resources ◽  
Main Determinants ◽  
Structural Aspects ◽  
Cooperative Game Model

In today's market economies, organizations see knowledge as one of their most valuable and strategic resources and seek to properly manage it so that it becomes a competitive advantage (Teece, 1988; Hamel and Prahalad, 1990, Drucker, 1994; Nonaka and Takeuchi, 1995; Boisot, 1998; Spender, 1996; Senge, 1990). Although many organizations make significant investments in technology and tools to promote knowledge sharing, cultural, behavioral, and structural aspects are the main determinants of success (Sharma and Bhattacharya, 2013). Organizational knowledge processes are, by their nature, generally social and complex. The behaviors related to sharing knowledge of organizational agents are full of situations of conflict of interest or dilemmas in which they receive different payments based on their strategic decisions. Such situations can be modeled as games. This article presents the approach to a particular dilemma, that of the knowledge friction in an Institution of Higher Education through Game Theory, describing a non-cooperative game model that allows showing the scope of said situation according to the decisions considered to be done by employees and employer and their related payments, exploring different decision-making scenarios.

A Combined Ship Science-Behavioural Science Approach To Create a Winning Yacht-Sailor Combination

2007 ◽  
Author(s):  
Matteo Scarponi ◽  
R. Ajit Shenoi ◽  
Stephen R. Turnock ◽  
Paolo Conti
Keyword(s):  
Time Domain ◽  
Numerical Models ◽  
Performance Gain ◽  
Strategic Decisions ◽  
Structured Interviews ◽  
Behavioural Science ◽  
Wind Pattern ◽  
The Time Domain ◽  
Fine Tune ◽  
Equations Of Motions

The challenge of racing one-design yachts is to maximize the performance of the yacht within the scope allowed by the relevant regulations. Such tuning of the yacht, for a well-policed rule, should only make possible small gains. The main area of possible performance gain is in how best an individual sailor or crew can fine tune their racing strategy. The ability to model such strategic decisions requires an understanding of both the physical behaviour of the yacht and how an individual sailor makes such decisions. The present study seeks to predict the performances of a yacht-crew system as a whole by deriving numerical models for human behaviour alongside those referring to the physics of yacht motion. The former aspect, a transposition of athletes' psychology within the racing scene, is investigated by means of questionnaires submitted to skilled athletes and structured interviews with sailing coaches. The latter issue, the mechanical side of the problem, is analysed by solving yacht equations of motions in the time domain; crew inputs in terms of yacht steering and sail trim are considered. The paper presents results from simulations in which the yacht-crew system can sail a racecourse in an arbitrary wind pattern, according to strategic and tactical rules derived by common practice and following the decision making schemata obtained above.

scholarly journals Method for dealing with non-stationary natural and simulating interference in intellectual surveillance radars

Radiotekhnika ◽  
2021 ◽  
pp. 115-121
Author(s):  
V. Zhyrnov ◽  
S. Solonskaya ◽  
V. Zarytskyi
Keyword(s):  
Decision Making ◽  
Time Domain ◽  
Semantic Analysis ◽  
Human Operator ◽  
Symbolic Model ◽  
Distinctive Features ◽  
Amplitude Fluctuations ◽  
Radar Signals ◽  
Symbolic Images ◽  
The Time Domain

The article discusses a method for dealing with non-stationary natural and simulating interference in intelligent surveillance radars. When creating simulating marks, the introduction of amplitude modulation into the relayed radar sounding signal is used. As a result of the analysis, it was possible to find out that in the imitating noise, in this case, the so-called "intelligent" fluctuations of the burst structure of false marks appear, which differ from the fluctuations of the packs of real marks and can be easily detected by a human operator. The method is based on the definition of semantic components at the stage of formation and analysis of a symbolic model of amplitude fluctuations of a burst of signals from non-stationary natural and simulating interference and from real moving objects. In this case, the semantic features of amplitude fluctuations are determined by solving predicate equations for transforming these fluctuations into symbolic images of noise marks and real mobile aircraft. As a result of semantic analysis of the amplitude fluctuations of the burst in the time domain, classification distinctive features of fluctuations in the burst of signals from natural imitating noise and air objects were obtained. The semantic components of the decision-making algorithm are investigated, which are similar to the decision-making algorithms by a human operator. Process knowledge of transforming radar signals into symbolic images of amplitude fluctuations of a burst in the time domain is formalized. The formalization of the processing of symbolic images includes a system of predicate equations, by solving which the types of amplitude fluctuations of the burst are identified. Based on the results of experimental data, the transformations of real radar signals into symbolic images of burst fluctuations were carried out on the basis of the algebra of finite predicates. The authors also managed to propose these transformations to be used as the basis of an effective toolkit for obtaining classification distinctive features of packet fluctuations from interference and from aircraft.

scholarly journals The Advantage of Digital Decision Making for Strategic Decisions – Proofed by a Supply Chain Case

2017 ◽  
Vol 3 (5) ◽  
pp. 7-20 ◽  
Author(s):  
Steffen Hossfeld
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Business Case ◽  
Strategic Decision ◽  
Strategic Decisions ◽  
Online Questionnaire ◽  
Von Neumann ◽  
Scor Model ◽  
Maximum Utility ◽  
Classical Decision

This paper will discuss the advantage of decision making supported by a digital system and will provide an overview of an empiric analysis researched on this topic. Decision making in organizations is a significant system implied task of managers and therefore a broad area in scientific research, not only in the disciplines management or business studies – even from technical to humanistic disciplines. Nowadays the trend of digitalization captures all areas of life especially in business, as well as the typical management task of decision making. Triggered by the digitalization trend business will move toward an autonomous decision making of machines or cyber systems. The important step toward autonomous decisions or decision support (cyber systems will prepare a decision, but finally executed by a human) will be the next development step for decision making. Designed algorithmic models for these decisions will use the content of classical decision models to reach maximum utility. Hence, a view on classical decision making will illuminate the basis for these models, from researchers like von Neumann/Morgenstern or Bernoulli. Furthermore, digitalization changes the process of decision making, especially focussing on the behavioral part of decisions, discussed from Simon, Selten or Tversky/Kahneman. Due to reason that today the human aspect of decision making is sustainable in organizations. The hypothesis that the digital set up for decision making in organizations will increase the efficiency of strategic decisions will be proofed by an empiric study. The research method for the empirical part of this paper is a questionnaire. It is online questionnaire which will be answered by professionals and scholars. As a typical example of a strategic decision, the author explains a business case in the supply chain function of organizations. A section of the well-known SCOR model will be tested on digitalization characteristics. The research findings of the questionnaire will illustrate that the digitalization of supply chain processes is in the scope of managers and consultants, to reach higher efficiency by increased turnover or by reducing costs. The result of this paper verifies an improved decision process by usage of digital features, but the capability of the entire digital possibilities is not fully achieved yet

scholarly journals STRATEGIC ALLIANCE FOR BLOCKCHAIN GOVERNANCE GAME

2020 ◽  
pp. 1-17 ◽  
Author(s):  
Song-Kyoo (Amang) Kim
Keyword(s):  
Decision Making ◽  
Theoretical Model ◽  
Strategic Management ◽  
Strategic Alliances ◽  
Strategic Alliance ◽  
Stochastic Game ◽  
Optimal Number ◽  
Management Framework ◽  
The Moment ◽  
Strategic Management Framework

This paper deals with design of an alternative secure Blockchain network framework to prevent damages from an attacker. The alliance concept from the strategic management perspectives is applied on the top of a general stochastic game framework. This new enhanced hybrid theoretical model is designed to find the best strategies toward preparation for preventing a network malfunction from an attacker through strategic alliances with other genuine nodes and it is developed based on the combination of a strategic management framework and a conventional stochastic model based on the Blockchain Governance Game. Analytically, tractable results for decision-making parameters are fully obtained to predict of the moment for operations and also to provide the optimal number of allegiance nodes to protect a Blockchain network. This research helps those whom are considering initial coin offering or launching new Blockchain-based services by enhancing security features through strategic alliances in a decentralized network.

Apodisation in the time domain

1992 ◽  
Vol 2 (4) ◽  
pp. 615-620
Author(s):  
G. W. Series
Keyword(s):  
Time Domain ◽  
The Time Domain

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

JOINT INTERPRETATION OF AIRBORNE ELECTROMAGNETIC DATA IN THE TIME DOMAIN AND FREQUENCY DOMAIN

2018 ◽  
Vol 12 (7-8) ◽  
pp. 76-83
Author(s):  
E. V. KARSHAKOV ◽  
J. MOILANEN
Keyword(s):  
Fourier Transform ◽  
Frequency Domain ◽  
Time Domain ◽  
Frequency Interval ◽  
Single Spectrum ◽  
Simultaneous Inversion ◽  
Homogeneous Half Space ◽  
Time Domain Data ◽  
The Time Domain

Тhe advantage of combine processing of frequency domain and time domain data provided by the EQUATOR system is discussed. The heliborne complex has a towed transmitter, and, raised above it on the same cable a towed receiver. The excitation signal contains both pulsed and harmonic components. In fact, there are two independent transmitters operate in the system: one of them is a normal pulsed domain transmitter, with a half-sinusoidal pulse and a small "cut" on the falling edge, and the other one is a classical frequency domain transmitter at several specially selected frequencies. The received signal is first processed to a direct Fourier transform with high Q-factor detection at all significant frequencies. After that, in the spectral region, operations of converting the spectra of two sounding signals to a single spectrum of an ideal transmitter are performed. Than we do an inverse Fourier transform and return to the time domain. The detection of spectral components is done at a frequency band of several Hz, the receiver has the ability to perfectly suppress all sorts of extra-band noise. The detection bandwidth is several dozen times less the frequency interval between the harmonics, it turns out thatto achieve the same measurement quality of ground response without using out-of-band suppression you need several dozen times higher moment of airborne transmitting system. The data obtained from the model of a homogeneous half-space, a two-layered model, and a model of a horizontally layered medium is considered. A time-domain data makes it easier to detect a conductor in a relative insulator at greater depths. The data in the frequency domain gives more detailed information about subsurface. These conclusions are illustrated by the example of processing the survey data of the Republic of Rwanda in 2017. The simultaneous inversion of data in frequency domain and time domain can significantly improve the quality of interpretation.

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