Using Monte Carlo Simulation Technology to Improve Intuitive Effect of Teaching Probability and Mathematical Statistics Course

With the illustration of a specific problem, this paper demonstrates that using Monte Carlo Simulation technology will improve intuitive effect of teaching Probability and Mathematical Statistics course, and save instructors' effort as well.And it is estimated that Monte Carlo Simulation technology will be one of the major teaching methods for Probability and Mathematical Statistics course in the future.

Head-mounted display-based intuitive virtual reality training system for the mining industry

Virtual reality(VR) training technology in the mining industry is a new field of research and utilization.The successful application of VR training system is critical to mine safety and production. Through the statistics of the current research and applications of VR training systems in mining industry, all the input/output devices are classified. Based on the classifications of the input/output devices that are used in the VR system, the current VR training systems for the mining industry could be divided into three types: screen-based general type, projector-based customized type, and head-mounted display(HMD)-based intuitive type. By employing a VR headset, a smartphone and a leap motion device, an HMDbased intuitive type VR training system prototype for drilling in underground mines has been developed.Ten trainees tried both the HMD-based intuitive system and the screen-based general control system to compare the experiences and training effects. The results show that the HMD-based system can give a much better user experience and is easy to use. Three of the five components of a VR training system,namely, the user, the tasks, and software and database should be given more attention in future research.With more available technologies of input and output devices, VR engines, and system software, the VR training system will eventually yield much better training results, and will play a more important role in as a training tool for mine safety.

A Study on Computer Consciousness on Intuitive Geometry Based on Mathematics Experiments and Statistical Analysis

In this paper, we present our research on building computing machines consciousness about intuitive geometry based on mathematics experiments and statistical inference. The investigation consists of the following five steps. At first, we select a set of geometric configurations and for each configuration we construct a large amount of geometric data as observation data using dynamic geometry programs together with the pseudo-random number generator. Secondly, we refer to the geometric predicates in the algebraic method of machine proof of geometric theorems to construct statistics suitable for measuring the approximate geometric relationships in the observation data. In the third step, we propose a geometric relationship detection method based on the similarity of data distribution, where the search space has been reduced into small batches of data by pre-searching for efficiency, and the hypothetical test of the possible geometric relationships in the search results has be performed. In the fourth step, we explore the integer relation of the line segment lengths in the geometric configuration in addition. At the final step, we do numerical experiments for the pre-selected geometric configurations to verify the effectiveness of our method. The results show that computer equipped with the above procedures can find out the hidden geometric relations from the randomly generated data of related geometric configurations, and in this sense, computing machines can actually attain certain consciousness of intuitive geometry as early civilized humans in ancient Mesopotamia.

Information visualization,physicality and intuitive use for tangible user interfaces

In the last two decades, tangible user interfaces （TUIs） have emerged as a new interface type that interlinks the digital and physical worlds. TUIs show a potential to enhance the way in which people interact with digital information. First, this paper exam- ines the existing body of work on tangible user interfaces and discusses their application domains, especially information visualiza- tion. Then it provides a definition of intuitive use and reviews formerly separated ideas on physicality. As interaction has an impact on the overall product experience, we also discuss whether intuitive use influences the users＇ aesthetic judgements of such products.

Image Retrieval Approach Based on Intuitive Fuzzy Set Combined with Genetic Algorithm

Aiming at shortcomings of traditional image retrieval systems, a new image retrieval approach based on color features of image combining intuitive fuzzy theory with genetic algorithm is proposed. Each image is segmented into a constant number of sub-images in vertical direction. Color features are extracted from every sub-image to get chromosome coding. It is considered that fuzzy membership and intuitive fuzzy hesitancy degree of every pixel＇s color in image are associated to all the color histogram bins. Certain feature, fuzzy feature and intuitive fuzzy feature of colors in an image, are used together to describe the content of image. Efficient combinations of sub-image are selected according to operation of selecting, crossing and variation. Retrieval results are obtained from image matching based on these color feature combinations of sub-images. Tests show that this approach can improve the accuracy of image retrieval in the case of not decreasing the speed of image retrieval. Its mean precision is above 80 %.

Assessing Evidence of Validity for the Intuitive Eating Scale-2 among Adult Latina Women

Introduction/Background: No research has been conducted on the relevance of intuitive eating as a promising strategy for sustainable weight management among Latinas. This study translated Tylka and Kroon Van Diest’s (2013) Intuitive Eating Scale-2 (IES-2) into Spanish and employed an exploratory factor analysis (EFA) to examine evidence of validity. Methods: We recruited Latinas from community venues in South San Diego, California to participate in this cross-sectional study. Inclusion criteria were: at least 18 years of age, monolingual Spanish or bilingual English/Spanish speaker, and self-identified Latina. In total, 150 Latinas completed a structured, face-to-face interview, which included the Spanish IES-2. Data were used in conducting an EFA. Results: Four items were removed for not loading on the initial EFA. Once items were removed, we extracted five factors with Eigenvalues greater than 1, which accounted for almost two-thirds of the variance. Of the four original IES-2 factors, two were retained identically: Reliance on Hunger and Satiety Cues (RHSC) and Body-Food Choice Congruence (B-FCC). The Eating for Physical Rather than Emotional Reasons (EPR) subscale lost one item in the initial EFA, and was not unidimensional, resulting in two separate subscales. Evidence of score reliability was marginal to strong (α = 0.63 - 0.87). Discussion: This study is first to provide evidence of validity and reliability for a Spanish translation of the IES-2. The results suggest that the proposed Spanish IES-2 can be used to study intuitive eating behaviors and attitudes among Latinas. However, further research with larger sample sizes and other diverse populations are suggested.

Consona继续整合Intuitive ERP业务

今年10月21日,管理软件产品和服务供应商Consona公司宣布和GrapeCity(葡萄城)签署完成了一项收购协议。GrapeCity是Intuitive在中国的增值代理商,Consona将收购它们在中国的所有IntuitiveERP业务。

The cognitive and neural mechanisms of intuitive prosocial behavior

In current study,we investigated the psychological mechanism and dynamic neural activity during prosocial decision-making by using behavioral measure and electroencephalogram.Specifically,our aim was to investigate the effect of empathy in promoting prosocial decision.We used the Chinese version of the Interpersonal Reactivity Index scale(C-IRI)and 11 emotional vocabularies to measure participants'trait empathy and state empathy respectively.In experiment 1,we aimed at identifying the neural activity involved in intuitive prosocial behavior using event related potentials(ERPs).The results showed that empathy is an important factor to promote intuitive prosocial choices.The associa tions between trait empathy and intuitive prosocial behavior are complex and multifaceted,prone to shifting according to the urgency of situations.T hese findings suggest that empathy and related emotional reactions has a vital role in motivating helping behavior,and that reflection can undermine this emotional impulse.

Area inside a Circle: Intuitive and Rigorous Proofs

In this article I conduct a short review of the proofs of the area inside a circle. These include intuitive as well as rigorous analytic proofs. This discussion is important not just from mathematical view point but also because pedagogically the calculus books still use circular reasoning today to prove the area inside a circle (also that of an ellipse) on this important historical topic, first illustrated by Archimedes. I offer an innovative approach through the introduction of a theorem, which will lead to proving the area inside a circle avoiding circular argumentation.

Intuitive ERP成功应用在JDT

GrapeCity提供的Intuitive ERP系统既可以满足目前企业经营管理的需要,也可以保证今后企业可以不断的升级和发展。它在约翰·迪尔天拖有限公司的成功实施,证实了这一点。

Taking Flight in the Water The counterintuitive excitement of hydrofoiling

For centuries,humans have experimented with flight in the form of large kites,hot-air balloons,gliders and,eventually,airplanes.Personally,I've taken many plane trips,tried hang-gliding and even went skydiving once.But I've never gotten to glide over the water as effortlessly as I did the day I tried hydrofoiling for the first time.Jenny Wright,co-owner of Epic Paddle Adventures,and Epic guide Sunny Applegate joined me on a sunny Friday afternoon as we learned from the staff of Ski World Orlando.

Fuzzy Difference Equations in Diagnoses of Glaucoma from Retinal Images Using Deep Learning

The intuitive fuzzy set has found important application in decision-making and machine learning.To enrich and utilize the intuitive fuzzy set,this study designed and developed a deep neural network-based glaucoma eye detection using fuzzy difference equations in the domain where the retinal images converge.Retinal image detections are categorized as normal eye recognition,suspected glaucomatous eye recognition,and glaucomatous eye recognition.Fuzzy degrees associated with weighted values are calculated to determine the level of concentration between the fuzzy partition and the retinal images.The proposed model was used to diagnose glaucoma using retinal images and involved utilizing the Convolutional Neural Network(CNN)and deep learning to identify the fuzzy weighted regularization between images.This methodology was used to clarify the input images and make them adequate for the process of glaucoma detection.The objective of this study was to propose a novel approach to the early diagnosis of glaucoma using the Fuzzy Expert System(FES)and Fuzzy differential equation(FDE).The intensities of the different regions in the images and their respective peak levels were determined.Once the peak regions were identified,the recurrence relationships among those peaks were then measured.Image partitioning was done due to varying degrees of similar and dissimilar concentrations in the image.Similar and dissimilar concentration levels and spatial frequency generated a threshold image from the combined fuzzy matrix and FDE.This distinguished between a normal and abnormal eye condition,thus detecting patients with glaucomatous eyes.

Deep image synthesis from intuitive user input:A review and perspectives

In many applications of computer graphics,art,and design,it is desirable for a user to provide intuitive non-image input,such as text,sketch,stroke,graph,or layout,and have a computer system automatically generate photo-realistic images according to that input.While classically,works that allow such automatic image content generation have followed a framework of image retrieval and composition,recent advances in deep generative models such as generative adversarial networks(GANs),variational autoencoders(VAEs),and flow-based methods have enabled more powerful and versatile image generation approaches.This paper reviews recent works for image synthesis given intuitive user input,covering advances in input versatility,image generation methodology,benchmark datasets,and evaluation metrics.This motivates new perspectives on input representation and interactivity,cross fertilization between major image generation paradigms,and evaluation and comparison of generation methods.

An asymptotically optimal public parking lot location algorithm based on intuitive reasoning

In order to solve the problems of road traffic congestion and the increasing parking time caused by the imbalance of parking lot supply and demand,this paper proposes an asymptotically optimal public parking lot location algorithm based on intuitive reasoning to optimize the parking lot location problem.Guided by the idea of intuitive reasoning,we use walking distance as indicator to measure the variability among location data and build a combinatorial optimization model aimed at guiding search decisions in the solution space of complex problems to find optimal solutions.First,Selective Attention Mechanism(SAM)is introduced to reduce the search space by adaptively focusing on the important information in the features.Then,Quantum Annealing(QA)algorithm with quantum tunneling effect is used to jump out of the local extremum in the search space with high probability and further approach the global optimal solution.Experiments on the parking lot location dataset in Luohu District,Shenzhen,show that the proposed method has improved the accuracy and running speed of the solution,and the asymptotic optimality of the algorithm and its effectiveness in solving the public parking lot location problem are verified.

Development of a novel hand-eye calibration for intuitive control of minimally invasive surgical robot

Robotic-assisted surgical system has introduced a powerful platform through dexterous instrument and hand-eye coordination intuitive control.The knowledge of laparoscopic vision is a crucial piece of information for robot-assisted minimally invasive surgery focusing on improved surgical outcomes.Obtaining the transformation with respect to the laparoscope and robot slave arm frames using hand-eye calibration is essential,which is a key component for developing intuitive control algorithm.We proposed a novel two-step modified dual quaternion for hand-eye calibration in this study.The dual quaternion was exploited to solve the hand-eye calibration simultaneously and powered by an iteratively separate solution.The obtained hand-eye calibration result was applied to the intuitive control by using the hand-eye coordination criterion.Promising simulations and experimental studies were conducted to evaluate the proposed method on our surgical robot system.We extensively compared the proposed method with state-of-the-art methods.Results demonstrate this method can improve the calibration accuracy.The effectiveness of the intuitive control algorithm was quantitatively evaluated,and an improved hand-eye calibration method was developed.The relationship between laparoscope and robot kinematics can be established for intuitive control.

Intuitive approach towards detection of attention tunneling while using a head-up display

Head-up display （HUD）, a primary cockpit display, helps in optimizing a pilot＇s attention towards aircraft and outside events. Slight mismatch in the balance may cause missed events; this phenomenon is called attention tunneling and affects the situational awareness of the pilot. This work reports an intuitive approach to detect attention tunneling while use of HUD in aircrafts. Texture analysis of a composite HUD camera video provided three distinguishing parameters, viz., contrast, correlation, and homogeneity. These three texture parameters are used as inputs for a fuzzy inference-based assistive detection system which could be used for distinguishing tunneled and nontunneled HUD operation.

Multi-Topology Hierarchical Collaborative Hybrid Particle Swarm Optimization Algorithm for WSN

Wireless sensor networks(WSN)are widely used in many situations,but the disordered and random deployment mode will waste a lot of sensor resources.This paper proposes a multi-topology hierarchical collaborative particle swarm optimization(MHCHPSO)to optimize sensor deployment location and improve the coverage of WSN.MHCHPSO divides the population into three types topology:diversity topology for global exploration,fast convergence topology for local development,and collaboration topology for exploration and development.All topologies are optimized in parallel to overcome the precocious convergence of PSO.This paper compares with various heuristic algorithms at CEC 2013,CEC 2015,and CEC 2017.The experimental results show that MHCHPSO outperforms the comparison algorithms.In addition,MHCHPSO is applied to the WSN localization optimization,and the experimental results confirm the optimization ability of MHCHPSO in practical engineering problems.

What is Mind,What is Consciousness,and Where This Resides

The main purpose of this paper is to respond to the questions what is mind and consciousness and where this resides.The answers are based on the frontline Informational Model of Human Body and Living Structures(IMHBLS),which shows that mind and consciousness can be described by the activity of the Informational System of the Human Body and Living Structures(ISHBLS),consisting of seven informational components,each of them with specific activity and functions,inter-correlated to support the immaterial/informational manifestation of the body expressed by mind and consciousness.The basic concept of matter-related and virtual information results as a consequence of the operability of the physics,chemistry,biologic,or mathematics laws,which actually act as informational operators,such processes are informationally driven and manifested finally as a“media-like functions”of mind and consciousness,on the“screen/display”of prefrontal cortex.The mind is therefore described as the capacity of every individual to access the data field of own life experience,where the thought acts as an informational operator,which can activate the required information from internal/external reality.Consciousness is the result of the info-representation of the explored reality,accumulated by the momentary connection,and compared/combined with the life experience,serving as judgment reference/criteria.The question is discussed in relation with the localization of consciousness,showing that this resides in the brain,as a result of the activity of ISHBLS.The discussion on the experimental evidences concerning the minimal basic components necessary and sufficient to sustain consciousness,compared with the results of the informational model,indicates the cortico-thalamus axis,in a full agreement each other.One of the basic findings is that the activation of consciousness is operated in two steps,one consisting in a feed-forward reception and another in feedback perception for recognition of the info-significance,which is fully supported by the recently reported experimental results.The phenomena of intuition,inspiration,premonition,“deja vue”,retrocausality,and intentionality are discussed.This model unifies the eastern and western concepts/models on consciousness and mind,explaining the energetic Yung/Yin Chinese model by YES/NO-informational Bit-type behavior,the Plato’s ideas/forms by“information”concept as a participating component of reality,Aristotle’s materialist view with matter structuration(assisted by information),and archaic model of the seven“chakras”at human,as vital informational centers connected with the body.

鲜艳色彩的平民主义与精英主义

什么是好的色彩？在人类的文明史上,我们明显地看到两种截然相反的取向：更多的色彩是更好的色彩,更少的色彩是更好的色彩。当然,这里的多或少不仅指色相的多少,也同样指色彩饱和度的高低。一般情况下,我们会把前一种取向与人类初始时期的朴素冲动联系在一起,因而为了强调教育与文化所带来的启蒙,我们会用后一种取向代表一种更为＂文明＂、更经＂教化＂的色彩价值观：西方基督教文化中的＂色彩恐惧症＂,中国传统宋明建筑装饰相对于清朝彩画的气定神闲.