Addictive Games: Case Study on Multi-Armed Bandit Game

The attraction of games comes from the player being able to have fun in games. Gambling games that are based on the Variable-Ratio schedule in Skinner’s experiment are the most typical addictive games. It is necessary to clarify the reason why typical gambling games are simple but addictive. Also, the Multiarmed Bandit game is a typical test for Skinner Box design and is most popular in the gambling house, which is a good example to analyze. This article mainly focuses on expanding on the idea of the motion in mind model in the scene of Multiarmed Bandit games, quantifying the player’s psychological inclination by simulation experimental data. By relating with the quantification of player satisfaction and play comfort, the expectation’s feeling is discussed from the energy perspective. Two different energies are proposed: player-side (Er) and game-side energy (Ei). This provides the difference of player-side (Er) and game-side energy (Ei), denoted as Ed to show the player’s psychological gap. Ten settings of mass bandit were simulated. It was found that the setting of the best player confidence (Er) and entry difficulty (Ei) can balance player expectation. The simulation results show that when m=0.3,0.7, the player has the biggest psychological gap, which expresses that player will be motivated by not being reconciled. Moreover, addiction is likely to occur when m∈[0.5,0.7]. Such an approach can also help the developers and educators increase edutainment games’ efficiency and make the game more attractive.

Optimization of CSO algorithm based on adaptive inertia weight coefficient

The traditional CSO algorithm is easy to fall into local extremum in optimization. In this paper, a CSO algorithm based on weight coefficient is proposed. In the CSO algorithm, the inertia weight coefficient is introduced into the hen position formula, and the learning factor influenced by the rooster is added to the chick position formula. Finally, using the idea of heredity, individuals with excellent fitness value are selected for crossover and mutation with a certain probability. Through the simulation comparison of five typical test functions, the simulation results show that the improved CSO algorithm can avoid local optimization, strengthen the global extreme value search ability, and improve the convergence speed and accuracy range of the algorithm.

Gray wolf optimizer with bubble-net predation for modeling FCCU main fractionator

FCCU main fractionator is a complex system with multivariable, nonlinear and uncertainty. Its modeling is a hard nut to crack. In this work, the gray wolf optimization with bubble-net predation (GWO_BP) is proposed for solving this complex optimization problem. In order to enhance the global search ability and accelerate the convergence speed, the bubble-net predation of whale search scheme is applied to update the head wolf position. And the improved Lé vy flight is used to update the positions of wolfpack for overcoming the disadvantage of easily falling into local optimum. The GWO_BP is compared with basic GWO, PSO with some typical test functions and the parameter estimation of FCCU main fractionation model. The experiment results show the effectiveness of the GWO_BP.

Analytical stress-strain relation for soils

A new stress-strain relation capable of reproducing the entire stress-strain range of typical soil tests is presented. The new relation involves a total of five parameters, four of which can be inferred directly from typical test data. The fifth parameter is a fitting parameter with a relatively narrow range. The capabilities of the new relation is demonstrated by the application to various clay and sand data sets.

DEVELOPING ONLINE PRACTICE TESTS TO CHECK THE ACQUISITION OF IDIOMATIC EXPRESSIONS WITH ANIMALS

Idiomatic expressions, a large number of which refer to animals, are widely used in English since they tend to add color to the language and make everyday speech more interesting and exciting for native speakers. However, these expressions pose difficulties for learners of English as their meaning is not deductible from the meanings of the words comprising it. Furthermore, the meaning may not have any relation to the animals that they feature or there may not be a correspondence of similar expressions in the learners’ mother tongues. Therefore, strategies to facilitate learning are needed and some of them, which can help students remember idioms more easily, are described in this article. Emphasis is placed on online practice tests, which check the acquisition of idiomatic expressions and facilitate their longterm retention. Practice tests are designed by the teacher and done by students on their personal computers or mobile phones at their own convenience. Also, some criteria specifically developed to enhance test construction are listed together with typical test questions based on them. Examples of different tasks are presented to illustrate the process of test creation. Finally, an appendix of some of the most commonly used idiomatic expressions with animals is included.

Solar Based Smart Lawn Mower

Our lawn mower is a self grass cutting vehicle running on solar energy which avoiding obstacles, increases the capability of complete mechanized grass cutting devoid of any necessity of any human intervention. Our structure requires a couple of 12V batteries to influence up the motors of the blades and for the movement. Lawn mowing is regarded as one of the most boring or tiring everyday jobs. It is also very reliable private robotic applications. The principle of this paper is to study and re-define the art in robotic lawn mowers to highlight the needs and capabilities of today's devices. A brief survey of available products, some patents and typical test bed prototypes are also provided. Some enabling techniques that make the vehicles more efficient are also suggested. We have utilized a solar board i.e. solar panel to charge the batteries the lawn mower and robot motors are interfaced to an Arduino Uno which governs the implementation of each motor. It is additionally used to interface an ultrasonic sensor for obstacle recognition and IR sensors for stopping the vehicle. The importance of this research lies in the presentation of an overview of a potential big market for personal vehicles.

Solar Based Smart Lawn Mower

Our lawn mower is a self grass cutting vehicle running on solar energy which avoiding obstacles, increases the capability of complete mechanized grass cutting devoid of any necessity of any human intervention. Our structure requires a couple of 12V batteries to influence up the motors of the blades and for the movement. Lawn mowing is regarded as one of the most boring or tiring everyday jobs. It is also very reliable private robotic applications. The principle of this paper is to study and re-define the art in robotic lawn mowers to highlight the needs and capabilities of today's devices. A brief survey of available products, some patents and typical test bed prototypes are also provided. Some enabling techniques that make the vehicles more efficient are also suggested. We have utilized a solar board i.e. solar panel to charge the batteries the lawn mower and robot motors are interfaced to an Arduino Uno which governs the implementation of each motor. It is additionally used to interface an ultrasonic sensor for obstacle recognition and IR sensors for stopping the vehicle. The importance of this research lies in the presentation of an overview of a potential big market for personal vehicles.

SOCIALIZATION OF DIGITAL EDUCATION THROUGH THE ENHANCEMENT OF REMOTE TESTING

The article is based on the results of analysis of educational subjects for bachelors of the 1st, 2nd, and 3d years of education in the socio-adapted system of remote training for various management and economic specialization profiles. According to the conducted study, the course units have been determined for which remote training and controlled assessment are justified, the results of electronic testing of students have been summarized, the dynamics of the results has been revealed, the directions of enhancement of testing and testing material development technologies have been shown, the socio-adapted types of test questions have been highlighted, and examples of typical test questions have been provided, recommendations on the method of presentation of educational material have been formulated.

Innovative Ideas to Manage Urban Traffic Congestion in Cognitive Cities

The cognitive city transport plays a vital role in setting the targets of monetary similarity and aggressiveness, social harmony, and reasonable significant development. As per the principle of urban development and versatility, the urban communities and their formative experts, which are dynamic in their considerations, are supporting neighborhood governments in handling portability issues, which shape basic examples over all subjective and dynamic populated urban areas. Interest for traveler and cargo transport is continually expanding in urban communities and towns, adding to movement clog, contamination, and car crashes. Understanding the movement clog is a typical test for governments and transport experts in all these urban formative specialists. As per them, putting the current versatility inclines on a maintainable cutting-edge way requires an aggregate rejig of urban portability.