Narrow Results

An aporia of signal de-noising is that the local signal reconstruction at the singular points. Based on the analysis for the signal singular points, combining signal scaling and orthogonal transform, This paper present a novel method called Scale-Invariant V-Transform (SIVT) for signal de-noising based on V-System, which is polynomial multi-wavelets in invariant set. SIVT employs multiple redundant basis of various scale to suppress the artifacts appearing in the singular points of denoised signal. The test results reveal the SIVT reconstructions exhibit higher visual quality and numerical measurement of SNR than wavelet-based reconstructions. Existing theory of SIVT suggests that these new approaches can perform significantly better than wavelet methods in certain signal reconstruction problems.

Radiologic technologists face various types of patients during multi-detector computed tomography (CT) examinations. In emergency departments, it is common to have patients who cannot follow instructions for the examinations. The asymmetric axial view of the head CT might affect the correctness of the clinician’s diagnosis. This study aimed to assess the impact of head positioning on the image quality of head CT using two phantoms. All scans were performed on a 16-slice CT scanner. In the control group, the tilted angle of the phantoms was 0${}^{\circ }$, and no multiplanar reconstruction (MPR) was performed. In the experimental groups, the tilted angles of the phantoms were 5${}^{\circ }$, 10${}^{\circ }$ and 15${}^{\circ }$, respectively, and MPR was performed afterwards. The results showed that if the head was tilted during the head CT examinations, image asymmetry and artifacts appeared without MPR. After MPR, one phantom showed that there were significant differences and the other phantom showed no significant differences quantitatively in image symmetry and artifacts between experimental groups and the control group, while both phantoms showed no significant differences qualitatively in image symmetry and artifacts between experimental groups and the control group. Although MPR can correct the image asymmetry and artifacts caused by tilted head positioning to some extent, it consumes time. Therefore, technologists should position the head as exactly as possible when performing head CT examinations.

This chapter focuses on establishing the conceptual foundation of the macroscopic perspective (structure and processes) of human thinking systems—the conceptualization of the general information theory (a component of the complexity-intelligence strategy). In this analysis, the human thinking system is perceived to be comprised of two components namely, the energy–matter subsystem (the natural component), and the physical symbol subsystem (an artificial component unique to humanity). The general procedure in which the human mind handles and exploits one or more physical symbol systems (symbols manipulation) is analyzed. The conceptual development encompassing the creation of the character set, capturing and transformation of data and information, acquisition of knowledge and emergent of wisdom (the four external entities), and the significance of a written language, as well as the additional associated functions are investigated.

The unique ability of creating a character set is confined to humanity indicating that human thinking systems are the most intense intelligence sources on this planet. The intrinsic and interactive properties of the character set and the language depict the characteristics and sophistication/ complexity of the physical symbol system. Besides interacting among themselves (data, information, knowledge and wisdom), these external entities also interact with the natural entities, the information-coded energy quanta, according to certain rules and principles. Subsequently, the energy quanta interact with the information-coded matter structure (the brain’s complex neural network). This unique ability (the presence of a written language) allows knowledge to be stored externally, and abstract concepts (including theory) and complex strategizing to emerge for the first time in the human world. In this respect, in the intense human intelligence source (individual or collective), information and knowledge exists in physical, energy and matter forms, and they are inter-convertible (internalization and externalization). The interactions among the six entities and the conversion from one form to another vividly review the presence of the uniqueness of the human thinking system, as well as the orgmind — greatly redefining the interactions and dynamic in the humanity and its organizations.

Subsequently, the boundaries and objectives of human thinking systems as information processing systems, and the necessity of artificial information systems are conceived as four postulates. In the intelligent organization theory, a deeper comprehension of the human thinking systems (complex adaptive systems) is vital, as they are the vital assets closely associated with the nurturing of highly intelligent human organizations (iCAS), including the coherency and contributions of a multi-layer intelligent structure (intelligent biotic macro-structure and agent-agent/system micro-structure). In this respect, the cognitive perspective must be better comprehended and utilized.

This chapter focuses on the macroscopic perspective of the human thinking system. The human thinking system is perceived to be comprised of two sub-components namely, the energy–matter subsystem and the physical symbol subsystem. The procedure in which the human mind handles one or more physical symbol systems is discussed. The conceptual development encompasses the transformation of data, information, knowledge and wisdom, and how a language emerges. The boundary of a human thinking system and the necessity of artificial information systems are also included. A better understanding of the human thinking system and the conceptualization of the general information theory is vital to the nurturing of highly intelligent human organizations.