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Carpets are the most important and most famous handicraft item from Afghanistan. There are various patterns of carpet weaving in the provinces of North and Northwest Afghanistan. The development of carpet patterns in Afghanistan is very dynamic. In the past, traditional carpets contained stories, beliefs, and prayers. These patterns have adapted to the social, political, and cultural conditions of the Afghan people. This has led to a change in the Afghan carpet pattern. The problem is how the pattern changes occur, what is behind the changes. This research intends to reveal this problem. The method used is qualitative—data obtained from collecting visual data from carpet artisans. Data grouping consists of traditional and modern visual carpet data, and then the data is analyzed using a visual ethnographic approach. The assumptions made in this study are that the patterns and designs of Afghan rugs that started before the alphabet, until the Afghan war conflict or until now, are caused by the craftsmen's closeness to the problems they face and their life trends, which are influenced by the socio-political conditions of the country. The duration of the war in Afghanistan has affected many things, including the design of the carpet pattern. It can be seen that the patterns of soldiers, helicopters, and weapons are found in the creation of the carpet. This study concludes that this change in pattern occurs due to psychological pressures caused by war. The massive displacement of the Afghan population outside the country, and in the country where they come, has the effect of forming a new pattern. The way a carpet engraver makes a pattern change is by creating a pattern unit, repeating the design, and cultivating the pattern organization system. The changes were made as a result of the interpretation process carried out by Afghan carpet craftsmen

As one of the most promising biometric technologies, vein pattern recognition (VPR) is quickly taking root around the world and may soon dominate applications where people focus is key. Among the reasons for VPR's growing acceptance and use: it is more accurate than many other biometric methods, it offers greater resistance to spoofing, it focuses on people and their privacy, and has few negative cultural connotations. Vein Pattern Recognition: A Privacy-Enhancing Biometric provides a comprehensive and practical look at biometrics in general and at vein pattern recog.

Embedded systems are small computers dedicated to performing a specific task and can be designed as simple as a temperature controller to a complex medical imaging system. Embedded systems are ubiquitous having diverse applications in areas such as personal devices, factory automation, military, and medicine. A particular need in many embedded systems is recognizing patterns from available information to achieve a goal, such as determining the kind of fruit passing on a conveyor belt. Pattern recognition is a mature field that studies algorithms for learning patterns in data. However, many embedded systems designers do not have the expertise in the pattern recognition domain which imposes a challenge on employing these algorithms in their system designs. In this study, we introduce a pattern recognition framework for embedded systems that enables developers to use an interactive environment, tutorial, and reference code to develop K-nearest neighbors classification algorithm, which is a robust model in pattern recognition. To validate benefits of the proposed framework, we conducted an experiment on 66 students to evaluate their performance in terms of the code quality and development speed when the framework is used, compared to when it is not. The results demonstrate a considerable gain in the development experience using our framework.

The aim of this commentary is to present the position that a pattern language approach facilitates, even catalyzes (comparative) learning in planning for young professionals. This position builds on literature and is supported by the research work of six MSc Urbanism graduation projects, in which the students adopted a pattern language approach. Additionally, these alumni have been asked in retrospect to evaluate their pattern language experiences for their learning. The students say their pattern languages give focus, enrich the knowledge field, are flexible, and they do not prescribe what to do, or how to make a plan. Students see and appreciate the value of the simple, yet thoughtful structure of a pattern with both visual and verbal information. Additionally, they observe that this method enables the connection between disciplines, between theory and practice, and between stakeholders, and that, potentially, it is a helpful tool for all kinds of stakeholders. They refer to the method as a tool for communication, a tool for design and analysis, and a tool for learning.

In this paper we offer an initial framework for a pattern language of hybrid education. With the term hybrid education, we imply the use of educational design patterns that actively strive to cut across, circumventing or upheave traditional dichotomies within education such as physical-digital, academic-nonacademic, online-offline, formal-informal, learning-teaching and individual-collective. In doing so, hybrid education invites uncertainty, open-endedness, risk-taking, experimentation, critical creativity, disruption, dialogue and democracy (back) into the heart of education. Accordingly we see, within hybrid education, the promise to push against and circumvent current trends of marketization, managerialism and standardization in higher education today. Here, a pattern language for hybrid education presents an alternative way of designing for future higher education in ways that are not focused on teaching to the test, playing it safe, rankings or gaming the system approaches. Rather, hybrid education focuses on open-endedness, risk-taking, relational entanglements, experimentation, exploration and empathy. In this way, designing for hybrid education is in this paper achieved, partly by taking a decidedly value-based and vision-driven approach to learning design patterns based on philosophy in higher education and critical pedagogy, partly by working together in hybrid ways and across disciplines and domains in order to open up both the field of teaching and learning in higher education as well as the field of learning design and design patterns. The result is the almost 80 design patterns for hybrid education. The paper presents the pattern categories for hybrid education, the different design patterns contained in these. Furthermore, the pattern mining ground and workshop process, the outcome of the value workshop and the vision workshop as well as three example scenarios is described in order to show both the underlying value and vision foundation for the pattern language as well as how it plays out in ...