Intuitive Experience Research Articles

Teorijski sufizam - periodizacija istorije discipline

Theoretical Sufism is an ontology formulated by prominent Muslim mystics. They are primarily known for their intuitive experiences in the highest realms of total existence. In the light of the final intuitions, these mystics got the opportunity to present a new system of ontology, that is, mystical knowledge about the problem of being in general. The answer to the questions about what reality is and how it really exists they provided through their spiritual experiences when they directly, with the eye of the heart, saw the most hidden secrets of existence and on that basis they built a system of knowledge about all lower levels of the universe. Muslims had intuitive knowledge with ontological content ever since the earliest period of the emergence of Islam. However, the results of their mystical effort, when ontological and metaphysical questions are involved, were not united in a separate study discipline. The discipline, which would be called theoretical Sufism, was officially established in the 13th century by the famous Ibn ʻArabī, and his students and influential representatives of his school will continuously improve and strengthen the structural order of the new ontological discipline in the cognitive tradition of Islam. At the beginning of the 17th century, Mullā Ṣadrā Shīrāzī made one of the biggest turning points in the history of Muslim thought when, in his new philosophical school, which he called transcendent philosophy, he proved the truth of the ontological principles of theoretical Sufism with grounded philosophical demonstrations. Mullā Ṣadrā himself explained that by uniting Islamic philosophy and theoretical Sufism, he actually completed the mission of philosophy and metaphysics in general.

A Novel Development of TRIZ-Analogic Construction Interface Problem Identification and Solutions Framework

One of the critical factors of project success is the interface management. Past project interface management mainly relies on knowledge and experience of the project managers. The existing studies of project interface management also mainly focused on the definition and the classification of project interfaces. There is no workable and flexible framework for construction interface problem identification and solutions. This study conducted an analogic study of contradiction matrix at Theory of Inventive Problem Solving (TRIZ) to develop such a framework. This research collected around six hundred interface management cases from civil works and building projects. For comparison, this research defined an experimental group (TRIZ case) and a control group (experience-oriented solution case) based on the concept of clinical experiments in medical science to evaluate and improve the rationality of the matrix. Subsequently, based upon the theory of information retrieval (IR), this research conducted statistical evaluation and TRIZ features remedies to develop generalized construction interface problem identification and solutions. For solving project management interface problems, the TRIZ-analogic construction interface problem identification and solutions framework provides a systematic approach to develop more robust solutions for interface problems in construction engineering rather than just simply relying on intuitive experience.

Understanding creative intuition

The creative process (whether it is in the arts, business or the sciences) involves both intellectual, conscious processes of thinking, as well as less conscious intuitive processes of knowing and discovering. Although Jungian psychology provides insight into the nature of intuition as a psychological function, intuition is not well understood by creative individuals and creative arts educators, even though they may be familiar with the intuitive experience itself. This article aims to demystify the role that intuition plays during the creative process. Drawing from the fields of psychology as well as Eastern and Western philosophy, four inter-related principles underlying creative intuition are examined and explained, in order to contribute to a more coherent understanding of creative intuition.For the purposes of this article, each principle is discussed separately, although they occur simultaneously and non-hierarchically during the experience of creative intuition. What emerges from this discussion is an understanding that intuition that cannot co-exist temporally with rational, intellectual functioning. Therefore other (more unusual) ways of being in the world, which involve solitude and a surrender of the ego, are required for intuition to flourish. These will be the subject of a future article.

An Improved GA with Matrix-Coding for Optimizing a Complex Disassembly Sequence Problem on ELV

Optimal disassembly sequencing is an NP-hard problem and has always been an ambition for industry production. In the context of increasing public concerns over environmental impacts, in addition to the feasibility of a disassembly sequence, dismantling enterprises have to consider the relationship between potential profits and the impacts. Thus, an ideal disassembly sequence should weight these three factors comprehensively. Up to now, an appropriate ELV disassembly sequence still mainly relies on people’s intuitive experience and seeking an optimal disassembly sequencing method assumes enormous importance. This paper aims to address the optimal disassembly sequencing problem of ELVs by means of an improved genetic algorithm, in which a matrix coding mechanism and an elite strategy are employed. The weight of different factors can be adjusted according to the actual conditions of factories. The paper gives a case and a series of Pareto fronts are obtained. The effects of population size and maximum evolutionary time on the Pareto solutions were investigated. Ultimately, the optimal Pareto disassembly sequence corresponding to balanced profit and environmental impact is achieved, thereby providing an appropriate disassembly depth defined by the aforementioned disassembly sequence. This can contribute to timely disassembly decisions for end-of-life vehicle (ELV) dismantling enterprises, achieving a cost-effective disassembly process for survival in the context of growing environmental concerns. This paper seeks to offer a viable decision-making approach prior to real disassembly of ELVs by detailing a Pareto disassembly depth and sequence.

Construction of a Hierarchical Neural Network Power Source Model for Human Capital Technology Innovation and Benefit Distribution with Big Data Analysis

In this paper, a hierarchical neural network power source model is used to conduct an in-depth analysis and research on human capital technology innovation and revenue distribution. A hierarchical neural network analysis method was chosen to evaluate the human capital value of professional degree master students, and the applicability of the index system was confirmed through errors; moreover, the significance of the output results was analyzed according to the weight assignments of the input, implicit, and output layers. The analysis found that there was a large disagreement in the assessment of their human capital value, which led to the lack of practical utility of human capital. Knowledge-skilled talents have a wealth of theoretical knowledge and can use theories to guide related work. Compared with technically skilled high-skilled talents, their educational level is higher, and they can summarize past intuitive experience into theoretical guidance. Therefore, the hierarchical neural network method we constructed is theoretically effective in assessing the value of the human capital of professional master’s students and the role of the main constituents. Based on the assessment results, we can provide policy-informed suggestions for improving the quality of school education. To quickly verify whether the model can converge during the training process, a simple dataset with only two sequences and the elements in the sequences being real numbers rather than vectors are constructed to speed up the computation; meanwhile, the length of the sequences in this dataset is adjustable to initially verify the model’s ability to alleviate the long-time dependence problem.

Logic Analysis of Economic Forecast

Since ancient times, prediction has existed in human activities in different forms, which is the instinctive reaction of human survival, and logic is the rational thinking activity of judgment, reasoning and demonstration in human brain. With the development of society, prediction has experienced a scientific process from ignorance relying on intuitive experience to logical reasoning, and formed prediction logic. In the field of economic activities, prediction logic has its unique logical characteristics. On this basis, qualitative and quantitative prediction methods are produced. The combination of the two prediction methods reflects the alternation of different logical reasoning processes, and also makes the economic prediction conclusion more reliable, so as to avoid risks and improve the decision-making level.

Intelligent textiles: designing a gesture-controlled illuminated textile based on computer vision

Artificial intelligence (AI) offers the potential for the development of e-textiles that give wearers a smart and intuitive experience. An emerging challenge in intelligent materials design is hand gesture recognition textiles. Most current research focuses on number gesture recognition via smart gloves, so there is a gap in research that studies contact-less number gesture recognition textiles via computer vision. Meanwhile, there is lack of exploration on the integration of illuminating function and number gesture recognition textiles to improve interactivity by real-time visualizing detection results. In this research, a novel interactive illuminating textile with a touch-less number gesture recognition function has been designed and fabricated by using an open-source AI model. It is used in sync with a polymeric optical fiber textile with illuminative features. The textile is color-changing, controlled by the system's mid-air interactive number gesture recognition capability and has a woven stripe pattern and a double-layer weave structure with open pockets to facilitate integration of the system's components. Also described here is a novel design process that permits textile design and intelligent technology to integrate seamlessly and in synchronization, so that design in effect mediates continuously between the physical textile and the intangible technology. Moreover, this design method serves as a reference for the integration of open-source intelligent hardware and software into e-textiles for enhancement of the intuitive function and value via economy of labor.

Discussion on the Application and Strategy of Micro-course in the Course of “Machining Technology” in Colleges and Universities

As a kind of information-based teaching mode, “micro-class” can bring students a more intuitive experience and arouse students’ attention to the content of the course. Applying micro-courses to the course of “Machining Technology” in colleges and universities is a measure of college education reform. This article focuses on the two aspects of the application advantages of micro-classes in the course of “Machining Technology” in colleges and universities and the application strategies of micro-classes in the course of “Machining Technology” in colleges and universities, focusing on the analysis of the advantages of micro-classes, and combining the advantages of micro-classes, explore the teaching strategies of “Machining Technology” courses in colleges and universities, hoping to start with “import links”, “training links” and “expanding links”, reform the traditional teaching mode, and optimize the course system of “Machining Technology” in colleges and universities.

Cognitive Robotics on 5G Networks

Emotional cognitive ability is a key technical indicator to measure the friendliness of interaction. Therefore, this research aims to explore robots with human emotion cognitively. By discussing the prospects of 5G technology and cognitive robots, the main direction of the study is cognitive robots. For the emotional cognitive robots, the analysis logic similar to humans is difficult to imitate; the information processing levels of robots are divided into three levels in this study: cognitive algorithm, feature extraction, and information collection by comparing human information processing levels. In addition, a multi-scale rectangular direction gradient histogram is used for facial expression recognition, and robust principal component analysis algorithm is used for facial expression recognition. In the pictures where humans intuitively feel smiles in sad emotions, the proportion of emotions obtained by the method in this study are as follows: calmness accounted for 0%, sadness accounted for 15.78%, fear accounted for 0%, happiness accounted for 76.53%, disgust accounted for 7.69%, anger accounted for 0%, and astonishment accounted for 0%. In the recognition of micro-expressions, humans intuitively feel negative emotions such as surprise and fear, and the proportion of emotions obtained by the method adopted in this study are as follows: calmness accounted for 32.34%, sadness accounted for 34.07%, fear accounted for 6.79%, happiness accounted for 0%, disgust accounted for 0%, anger accounted for 13.91%, and astonishment accounted for 15.89%. Therefore, the algorithm explored in this study can realize accuracy in cognition of emotions. From the preceding research results, it can be seen that the research method in this study can intuitively reflect the proportion of human expressions, and the recognition methods based on facial expressions and micro-expressions have good recognition effects, which is in line with human intuitive experience.

Inhibition Effect of Audio-Visual Semantic Interference in Chinese Interface: An ERP Study of Concrete Icons and Chinese Characters

In this study, event-related potential (ERP) was used to examine whether the brain has an inhibition effect on the interference of audio-visual information in the Chinese interface. Concrete icons (flame and snowflake) or Chinese characters (暖 and 凉) with opposite semantics were used as target carriers, and colors (red and blue) and speeches (热 and 冷) were used as audio-visual intervention stimuli. In the experiment, target carrier and audio-visual intervention were presented in a random combination, and the subjects needed to determine whether the semantics of the two matched quickly. By comparing the overall cognitive performance of two carriers, it was found that the brain had a more significant inhibition effect on audio-visual intervention stimuli with different semantics (SBH/LBH and SRC/LRC) relative to the same semantics (SRH/LRH). The semantic mismatch caused significant N400, indicating that semantic interference in the interface information would trigger the brain’s inhibition effect. Therefore, the more complex the semantic matching of interface information was, the higher the amplitude of N400 became. The results confirmed that the semantic relationship between target carrier and audio-visual intervention was the key factor affecting the cognitive inhibition effect. Moreover, under different intervention stimuli, the ERP’s negative activity caused by Chinese characters in frontal and parietal-occipital regions was more evident than that by concrete icons, indicating that concrete icons had a lower inhibition effect than Chinese characters. Therefore, we considered that this inhibition effect was based on the semantic constraints of the target carrier itself, which might come from the knowledge learning and intuitive experience stored in the human brain.

Analysis of Visualization Technology of 3D Spatial Geographic Information System

Traditional urban planning is generally expressed in a two-dimensional geographic information system, but its performance is limited to the plane direction. It cannot give people more natural feelings and visionary experiences. The rapid development of three-dimensional geographic information systems brings people geographic information. The three-dimensional intuitive experience, but the traditional three-dimensional geographic information system has the disadvantages that the spatial properties are incompatible, the image rendering speed is slow, and the visualization effect is poor. In this paper, the traditional domain-oriented processing method is improved in spatial data processing and modeling. An optimized object-oriented optimization algorithm is proposed. The three-dimensional geographic information is optimized based on a dynamic multiresolution model and multilevel detail processing technology. The rendering of the system enhances the visualization. Based on the optimization algorithm of data processing and visualization technology proposed in this paper, the spatial data processing platform GISdata of 3D GIS is designed in this paper. At the same time, the 3D GIS is visualized based on OpenGL visualization software. It is shown that the optimization algorithm proposed in this paper has excellent preexperimental effects.

An Interactive Dashboard Using a Virtual Assistant for Visualizing Smart Manufacturing

In the era of Industry 4.0, manufacturing sites are becoming more sophisticated and connected with the aid of Information Technology (IT) and Industrial Internet of Things (IIoT) infrastructure. What makes a smart manufacturing enterprise as opposed to a traditional one is the ability to solve existing problems and predict issues to fix them before they occur while creating advantaged value. Dashboards, assisting decision-makers in business markets, can organize data from machines, sensors, and workers into a real-time visual representation. They provide a quick overview of how your entire business is operating and where you stand in relation to the key performance indicators for supporting the development toward more resource-efficient and sustainable processes. However, if users need more information related to the indicators shown on the dashboard, current approaches mainly rely on human effort to search and retrieve the information. The lack of interaction between the dashboard and users often results in inconvenient operations and limits the usage of the tool, especially in the manufacturing industry. In this study, an interaction design is developed to resolve the issue. The proposed dashboard is developed by a three-layer structure including data layer, processing layer, and presentation layer. A virtual assistant is introduced to play the role of a mediator between the dashboard and the user. It provides users with a natural language interface to communicate, directly interacts with the dashboard on users’ behalf, and actively reminds relevant personnel to expedite data collection. Compared with the traditional human-machine interface, the adoption of this lightweight and easy-to-use design can not only create a frictionless and intuitive experience but also ensure that data is displayed in a timely manner.

Narrative Scientific Data Visualization in an Immersive Environment.

Narrative visualization for scientific data explorations can help users better understand the domain knowledge, because narrative visualizations often present a sequence of facts and observations linked together by a unifying theme or argument. Narrative visualization in immersive environments can provide users with an intuitive experience to interactively explore the scientific data, because immersive environments provide a brand new strategy for interactive scientific data visualization and exploration. However, it is challenging to develop narrative scientific visualization in immersive environments. In this paper, we propose an immersive narrative visualization tool to create and customize scientific data explorations for ordinary users with little knowledge about programming on scientific visualization, They are allowed to define POIs (point of interests) conveniently by the handler of an immersive device. Automatic exploration animations with narrative annotations can be generated by the gradual transitions between consecutive POI pairs. Besides, interactive slicing can be also controlled by device handler. Evaluations including user study and case study are designed and conducted to show the usability and effectiveness of the proposed tool. Related information can be accessed at: https://dabigtou.github.io/richenliu/.

Retracted] Using Depth Cameras for Recognition and Segmentation of Hand Gestures

In recent years, in combination with technological advances, new paradigms of interaction with the user have emerged. This has motivated the industry to create increasingly powerful and accessible natural user interface devices. In particular, depth cameras have achieved high levels of user adoption. These devices include the Microsoft Kinect, the Intel RealSense, and the Leap Motion Controller. This type of device facilitates the acquisition of data in human activity recognition. Hand gestures can be static or dynamic, depending on whether they present movement in the image sequences. Hand gesture recognition enables human‐computer interaction (HCI) system developers to create more immersive, natural, and intuitive experiences and interactions. However, this task is not easy. That is why, in the academy, this problem has been addressed using machine learning techniques. The experiments carried out have shown very encouraging results indicating that the choice of this type of architecture allows obtaining an excellent efficiency of parameters and prediction times. It should be noted that the tests are carried out on a set of relevant data from the area. Based on this, the performance of this proposal is analysed about different scenarios such as lighting variation or camera movement, different types of gestures, and sensitivity or bias by people, among others. In this article, we will look at how infrared camera images can be used to segment, classify, and recognise one‐handed gestures in a variety of lighting conditions. A standard webcam was modified, and an infrared filter was added to the lens to create the infrared camera. The scene was illuminated by additional infrared LED structures, allowing it to be used in various lighting conditions.

Трансперсональний досвід як відповідь на виклики нігілізму: європейський контекст

The authors of the article focus their attention on the question of spirituality as an existential attitude of a person to the sacred mystery of being. The ambivalence of the realm of the sacred is that being transcendental at the same time in the act of Epiphany it manifests itself in a variety of symbolic forms of personal experience. It is argued that spirituality par excellence is transpersonal experience, which communicates the personality with the secret of the sacred as incomprehensible, not intellectually, but through existential involvement. In this intuitive experience of spiritual inspiration, the inexpressible truth of things beyond "facts" and "texts" is revealed to man. Transpersonal experience is constitutive in the process of a person's formation, his humanization. The transcendence of the individual takes place in it, which presupposes a constant movement of self-improvement and self-overcoming, expansion of consciousness. This can be called spiritual initiation through a gradual moral transformation of the personality through symbolic death and resurrection, the purpose of which is the realization of existential fullness and the achievement of happiness-bliss. Historical forms of spiritual initiation are analyzed, such as the ancient mysteries and the Christian sacrament of the Eucharist. Particular attention is paid to the analysis of the Platonic understanding of inspiration-madness. It is noted that in the depths of modern secular culture, which is a consequence of the nihilistic attitude towards "disenchanting the world" and moral relativism, nostalgia for the sacred is inevitably born. Heidegger's teaching states that the roots of modern world disengagement, nihilism, and the oblivion of the sacred truth of being should be sought in the very history of being, that is, in objective "ontohistory". At the same time, it depends on the will of man whether he wants to abandon his nihilistic and cynical utilitarian-pragmatic attitude of worldview, and change the mode of existence to a useless "essential" attitude to reality. Nostalgia for the fullness of life, for a holistic picture of the world, on one hand, and the soulless technocratic and objective nature of modern civilization, dominated by alienation and impersonality, on another hand, should be a turning point on the way to the main event of ontohistory – the revenge of the sacred and the return of the "last god".

Realizing Minimum Service Standards for Food Based on Local Wisdom in Central Halmahera Regency

Realizing minimum service standards in the food sector is the responsibility of the Government in general, and the Government of Central Halmahera Regency in particular. Various efforts have been made, among others, through the approach of implementing "local wisdom" on food. The local wisdom in question is a culture passed down from generation to generation by the community that sago (Metroxylon sago Rottb) is the staple food after kasbi (cassava / Manihot esculenta Crantz), betatas (sweet potato / Ipomoea batatas L), banana (Musa paradisiaca L) , and maize (Zea mays L). However, in the end all of them have become alternative foods, replaced by rice (Oriza sativa L.). There are socio-cultural values contained therein that want to be preserved through this study. This study is a descriptive subjective which tries to integrate between intuitive experience and an understanding of the opportunities that exist The essence of local wisdom to food based on several previous studies and studies shows that there are other values that accompany it, namely the realization of food security in the area concerned, this is shown by the results of research by Tuti Gantini (2016). which states that “vulnerability to food insecurity with local wisdom is smaller than on vulnerability to food insecurity without local wisdom ”. According to Tupan (2014), "One of the efforts to increase the acceleration of the movement to diversify food consumption in order to achieve food security is to restore the diversification pattern of food consumption that has taken root in society as local wisdom" According to Soerjani (2005) in Marcus J. Pattinama (2009). ), by exploring and developing local wisdom, it can not only be relieving, but can also be avoided (preventing) due to the large amount of resources for the next generation. The results of the study here ultimately point to the efforts that need to be done, namely: (1). Preserving Local Wisdom and Culture on Food, (2). Collaborating skills with local wisdom on food, (3). Focus on cultivating selected superior commodities, (4). Capacity and capability enhancement, and (5). Synergy, integrity, communication and collaboration between related agencies. From the results of this study, it is hoped that the Regional Government as a stakeholder should be consistent and committed to implementing these efforts

Finger-Ray Interaction using Real Hand in Handheld Augmented Reality Interface

Augmented Reality (AR) is the technology that augments the real world by using virtual information of 3D objects overlaid on a view of the real environment. This will create an immersive and intuitive experience. As handheld devices are widely used and now has climb with increasing demand of specifications, its interaction based on touch is a natural and appealing input style for the application of AR. Furthermore, most heuristic studies of interaction in AR usually focus on interactions with AR Target close to the user, generally within arm’s reach. As the user’s move farther away, the effectiveness and usability of the interaction modalities may be different. This study explores handheld AR interaction using real hand gesture at a distance in a room-scale setup. Our aim is to investigate the effectiveness of performing selection while being far away from the 3D object and performing selection task towards object that is being occluded. As object manipulation is one of the key features to explore for mobile handheld AR, we hope our study can give some contribution towards its practical use, especially for real-world assembly structure. Hence, our paper proposes finger ray interaction technique for real hand in handheld AR interface to work for selecting objects at distances ranging from 3 feet to 8 feet and when the object being occluded ranging from 20% to 80% occluded.

Proxy Painting

For archaeologists, it is often desirable to present statues in their original material and coloration. With projection mapping, real-world surfaces are augmented by digital content to create compelling alterations of the scene’s visual appearance without actually altering or even damaging the object. While there are frequent advances in projection quality, content creation is still a challenging and often unintuitive task, especially for non-experts. In our system, we combine the advantages of digital content creation, such as rapid prototyping, with the convenience of an analog workflow. Users paint on smaller versions of the projection mapping target, employing real-world brushes and pencils, while the results are presented live on its large counterpart. We further demonstrate the integration of our system into a state-of-art game engine. By leveraging a powerful rendering and material workflow, we make creating compelling materials and lighting situations an intuitive experience.

LabVIEW

LabVIEW™ is unusual among programming languages in that we did not intend to create a new language but rather to develop a tool for non-programmer scientists and engineers to assist them in automating their test and measurement systems. Prior experience creating software for controlling instruments led us to the perspective that the software ought to be modeled as a hierarchy of ”virtual instruments”. The lowest level virtual instruments were simply reflections of the individual physical instruments they controlled. Higher level virtual instruments combined lower level ones to deliver more complex measurements. A frequency response virtual instrument could be implemented using a voltmeter and a sine-wave generator inside a loop that stepped through a frequency range. This was mostly an abstract concept at the time because it was hard to imagine how an existing language or tool could provide the rich yet intuitive experience of using a real instrument. Inspired by the first Macintosh computer, we quickly realized the graphical user interface would be a natural way to interact with a virtual instrument, but it also sparked our imaginations about using graphics for creating software at a higher level of abstraction. The February 1982 issue of IEEE Computer was devoted to data-flow models of computation, and it convinced us that graphical data-flow diagrams needed to be part of the solution. The major difficulty we saw, however, was the need to use cycles in the data-flow diagram to represent loops. Cycles increased complexity and made diagrams hard to understand and even harder to create. This concern led to a major innovation in creating LabVIEW: merging structured programming concepts with data-flow. We represented control-flow structures as boxes in a data-flow diagram. We knew how to reason about loops, so we could introduce them as first class elements of the graphical representation rather than being constructed from lower-level elements. A box could encapsulate the semantics of the iterative behavior; it could clearly separate the body of the loop (the diagram inside the box) from the code before and after the loop (the diagram outside the box); and, its boundary could hold iteration state information. Those fundamental concepts of ”graphical”, ”structured” and ”data-flow” enabled us to propose a software product. We staffed up a small skunkworks team to implement it. We called it LabVIEW. It was to be an engineer’s tool for automating measurement systems. At first, we were reluctant to admit that we had created a graphical programming language. When we finally did, we nicknamed it G, for Graphical language, so we could talk about the language as distinct from the integrated development environment (IDE), LabVIEW. In practice, almost everyone refers to both the language and the IDE as LabVIEW. Without intending to do so, we created a programming language radically different from those that came before, pioneering techniques of graphically creating and viewing code, eliminating manual memory management without adding garbage collection overhead, and anticipating the massively parallel systems of the modern era. LabVIEW continues to evolve and thrive after more than 30 years.

Automatic Route Video Summarization based on Image Analysis for Intuitive Touristic Experience

Automatic Route Video Summarization based on Image Analysis for Intuitive Touristic Experience