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This study presents the design and implementation of a PLC microprocessor adhering to the IEC-61131-3 standard, executed on a Cyclone V FPGA using a DE10-NANO development board. Our microprocessor optimizes the central processing unit by streamlining the data path, achieving a remarkable simulated response time of approximately 60 ns, equivalent to three clock cycles at a 50 MHz frequency for Boolean operations. To substantiate our approach, we conducted practical experiments utilizing a FESTO conveyor station, employing relays as actuators, and incorporating optical and inductive sensors. The results underscore the feasibility of our proposed approach and serve as practical validation of its efficacy. This work introduces a promising avenue for the development of cost-effective PLCs employing SoC FPGA variants. Additionally, a thorough comparison of execution times with other early reported architectures. Our microprocessor outperforms even well-established PLCs like the S7-312, with substantial reductions in execution times of 94.54% for floating-point operations, 71.42–93.33% for word operations, and up to 78.57% for bit operations. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

India's 65% population resides in rural regions, making these places the heart and soul of the nation. These regions, along with their residents and houses, serve as a reflection of the nation. Previous researchers have described rural houses in social and humanities literature, but their observations have mostly been descriptive rather than analytical. Therefore, conducting a thorough analytical investigation is necessary to fully understand the mental image that people currently have of rural houses. This study aims to develop a theoretical framework for the typology of rural houses and identify the aspects that contribute to a thorough understanding of housing in rural India. The current state of rural houses must be examined as they are changing from traditional to modern architecture. The research study area was selected, Lakhan Village in the Indian state of Uttar Pradesh. In this village, fieldwork was carried out to determine the types and characteristics of long-established houses. A simple random sampling method was employed to collect the data, and the sample size was determined using the Cochrane formula. The authors' extensive professional first-hand experience in rural houses in Uttar Pradesh integrates with theoretical and analytical analysis in this research. The study sheds light on the development of rural houses in Lakhan Village and highlights several elements that have an impact on a house's overall imageability. It includes recommendations for future growth, gives an in-depth understanding of how rural housing has developed in India, and discusses the reasons that have influenced that development. The study's conclusion highlights the significance of utilizing a holistic strategy to address the challenges with rural housing. The findings of this study will be helpful to researchers, policymakers, and other officials involved in constructing rural houses. [ABSTRACT FROM AUTHOR]

Desertification, deforestation, climate change, global warming, and economic instability are leading to serious problems in many countries. Two of these negative factors are the decrease in agriculture areas and food scarcity. This situation caused many countries to reconsider their agriculture polices and think of new solutions. The United Nations also addressed the problem via its "SDG—Sustainable Development Goals" agenda. One of its major goals is the change towards green and sustainable communities that can produce their own food. Rooftop farming in places with suitable climatic conditions was encouraged by the "SDG" and governments of many countries. The paper discusses the potential of utilizing Egyptian residential rooftops for rooftop farming, the Egyptian urban fabric is very dense with residential buildings. Taking the Egyptian "Asmarat" residential neighborhood as an exercise, the study aims to fulfilling the following three goals: 1- On a food security Level: if rooftop farming is extensively applied across all cities and villages in Egypt, a mass production threshold of exporting vegetables and fruits may be reached that will significantly participate in the overall national GDP, 2- On a socio-economic level: rooftop farming will create jobs for informal workers and the jobless, turning an individual from a jobless person to a busy one is the best practical solution for changing behavioral norms from the tendency towards crime, hanging around on the streets, and drug addiction towards a decent and productive society., and 3- On an environmental level.: Large cities suffer from crowds, high building densities, pollution, and scarcity of open green areas. Rooftop farming increases the "Urban Green Space—UGS" of the city, reduce pollution, decrease global warming, and purify the atmosphere. [ABSTRACT FROM AUTHOR]

Model-based systems engineering (MBSE) has been widely used in complex system design. A multi-level progressive architecture design process based on MBSE is proposed by constructing the relationship between function, behavior and structure. Subsequently, guided by the demand for altitude control, an example modeling of the civil aircraft flight control system is conducted. The results indicate the multi-level progressive architecture design of civil aircraft flight control system architecture based on MBSE leverages the advantages of reusable digital models, ensuring a close integration of requirements with functional, logical, and physical architecture. Meanwhile, the method improves the traceability of system design and provides an architectural reference for subsequent domain level model design. [ABSTRACT FROM AUTHOR]

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Copyright of China Pulp & Paper is the property of China Pulp & Paper Magazines Publisher and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Command Control & Simulation / Zhihui Kongzhi yu Fangzhen is the property of Command Control & Simulation Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Command Control & Simulation / Zhihui Kongzhi yu Fangzhen is the property of Command Control & Simulation Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study combines theoretical research and practical case studies to explore effective methods for renovating rural architecture within the context of Chinese new rural construction. By analyzing the current state of existing rural architectures, identifying their characteristics and shortcomings, and applying the theory of architectural semiotics, this study proposes an innovative model for rural architecture renovation. The aim of this research is to provide valuable insights and optimization strategies for the revitalization of rural architectures in China, ultimately contributing to the sustainable development of rural areas and the preservation of regional culture. [ABSTRACT FROM AUTHOR]

Remote Direct Memory Access (RDMA) is a widely adopted optimization strategy in datacenter networking that surpasses traditional kernel-based TCP/IP networking through mechanisms such as kernel bypass and hardware offloading. However, RDMA also faces a scalability challenge with regard to connection management due to limited on-chip memory capacity in the RDMA Network Interface Card (RNIC). This necessitates the storage of connection context within RNIC's memory and induces considerable performance degradation when maintaining a large number of connections. In this paper, we propose a novel RNIC microarchitecture design that achieves peak performance and scales well with the number of connections. First, we model RNIC and identify two key factors that degrade performance when the number of connections grows large: head-of-line blocking when accessing the connection context and connection context dependency in transmission processing. To address the head-of-line blocking problem, we then combine a non-blocking connection requester and connection context management module to process prepared connections first, which achieves peak message rate when the number of connections grows large. Besides, to eliminate connection context dependency in RNIC, we deploy a latency-hiding connection context scheduling strategy, maintaining low latency when the number of connections increases. We implement and evaluate our design, demonstrating its successful maintenance of peak message rate (66.4 Mop/s) and low latency (3.89 µs) while scaling to over 50,000 connections with less on-chip memory footprint. [ABSTRACT FROM AUTHOR]

Buildings in Islamic architecture are distinguished by dazzling features in general, especially religious buildings such as mosques, schools, and shrines. The literature could not find a clear identification of reaching the dazzling concept. Moreover, researchers in the Islamic architecture discipline did not focus on determining sufficient knowledge of the design methods of applying the dazzling approach in Islamic architecture, and they did not clarify a specific detailed vocabulary of Islamic dazzling concepts. However, the problem of the study was identified by observing the literature and buildings. Therefore, the formulated question encompasses "the unclear knowledge of applying designing procedure of dazzling characteristics in Islamic Architecture buildings." The study raised an important question: "What is the design methodology of dazzling features in religious buildings within Islamic Architecture." The study aims to identify the practical design elements, principles, and rules of the dazzling characteristics in religious buildings in Islamic architecture to draw out a guideline that designers can apply in contemporary Islamic Architecture. The theoretical framework of the dazzling concept was constructed to achieve this aim, with variables and sub-variables highlighted to identify the design methodology that can actualize dazzling concept in Islamic architecture by reviewing previous studies. The abstracted variables used in designing the checklist were applied to analyze the cases formally. Selecting cases from religious buildings from Islamic style depends on specific criteria. However, the results analyzed statically showed that dazzling concept in Islamic architecture applied in five major levels (structure, form, architectural elements, interior space, and ornamentation) with seven main principles (richness, exaggeration, uniqueness, complexity, proportion, and ambiguity). Richness is the most affected factor in applying clear dazzling concept, while exaggeration and uniqueness are second-rated factors that can impact the value. Dazzling concept is an essential characteristic that designers should apply in contemporary Islamic architecture. [ABSTRACT FROM AUTHOR]

Optimizing the architecture of superconducting quantum processors is crucial for improving the efficiency of executing quantum programs. Existing schemes either modify general-purpose architectures, which might lead to an increase in the probability of qubit frequency collisions, or customize special-purpose architectures based on the quantum programs to reduce the gate operations after qubit mapping, but the architectures lack support for the post-mapping gate operations' optimization of multiple programs, which reduce their reusability. In this study, we propose a new processor architecture design method that reduces the average growth of the total post-mapping gate count on multiple quantum programs as well as to reduce the impact of processor architecture on frequency collisions, and thus improve the reusability of special-purpose processor. The main idea is to construct a new architecture by finding maximum common edge subgraph among multiple special-purpose processor architectures. To show the effectiveness of our method, we selected quantum programs with different functions covering 9 types of qubit numbers for comparison. Comprehensive simulation results show that the architecture schemes generated by using our method outperform two general-purpose architecture schemes based on the square lattice and the eff-5-freq's special-purpose architecture schemes, respectively. Compared to the all 2-qubit bus and the eff-5-freq's architecture schemes, after qubit mapping, the architecture schemes of our method have the smallest average growth of gate operations in multiple quantum programs (the largest average growth is 5.63%), which further supports the execution of different quantum programs. Meanwhile, the architecture schemes of our method also reduce the probability of frequency collisions by at least 4.48% compared to all other schemes. Furthermore, we compared our method with another special-purpose design method. In the schemes of different special-purpose architecture design methods, our method is able to generate architectures with better matching for multiple quantum programs. Therefore, our method can provide superconducting quantum processor architecture design with higher reusability for multiple quantum programs. [ABSTRACT FROM AUTHOR]

This study introduces a novel framework that leverages artificial intelligence (AI), specifically deep learning and reinforcement learning, to enhance energy efficiency in architectural design. The goal is to identify architectural arrangements that maximize energy efficiency. The complexity of these models is acknowledged, and an in-depth analysis of model selection, their inherent complexity, and the hyperparameters that govern their operation is conducted. This study validates the scalability of these models by comparing them with traditional optimization techniques like genetic algorithms and simulated annealing. The proposed system exhibits superior scalability, adaptability, and computational efficiency. This research study also explores the ethical and societal implications of integrating AI with architectural design, including potential impacts on human creativity, public welfare, and personal privacy. This study acknowledges it is in its preliminary stage and identifies its potential limitations, setting the stage for future research to enhance and expand the effectiveness of the proposed methodology. The findings indicate that the model can steer the architectural field towards sustainability, with a demonstrated reduction in energy usage of up to 20%. This study also conducts a thorough analysis of the ethical implications of AI in architecture, emphasizing the balance between technological advancement and human creativity. In summary, this research study presents a groundbreaking approach to energy-efficient architectural design using AI, with promising results and wide-ranging applicability. It also thoughtfully addresses the ethical considerations and potential societal impacts of this technological integration. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Graphics is the property of Journal of Graphics Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Graphics is the property of Journal of Graphics Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Materiae Compositae Sinica is the property of Acta Materiea Compositae Sinica Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Automotive Digest is the property of Automotive Digest Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nowadays, advanced aluminum matrix composites (AAMCs) are known as the dominant emerging materials employable in different industrial sectors. The reason behind the use of AAMCs originates from the urgent need for weight reduction as well as high efficiency in the automotive, agriculture, aerospace, mining, and electronic applications. This paper deeply reviewed several recent progresses of AMMCs in architecture designs and advanced manufacturing technologies to break through the limitations and promote the overall performance of the AMMCs. The discussion offers a deep understanding of specific issues mainly related to the well-known strength-ductility conflict. As a matter of fact, the dependency of the properties of materials on the microstructure (size dependent) and their components (e.g. high-performance nano reinforcements) could simultaneously provide high efficiency and a series of size-dependent effects. Designing tailored architectures (e.g. harmonic structure, hierarchical structure, multimodal distributions, layered architectures, network structure, gradient structures, heterogeneous laminated structures), known as most promising, provides new routes for attaining high-efficiency and mechanical properties optimization. It is worth noting that special distribution concept in architecture design is to be used carefully, as a homogenous distribution suggests all the reinforcements are distributed in the undifferentiated locations while inhomogeneous distribution stands for the selective distributed locations following certain regularities. These novel architecture designs could be achieved through applying the advanced manufacturing technologies (e.g. severe plastic deformation, additive manufacturing, and powder metallurgy-based technologies) with the potential to be used on a large scale by employing innovative techniques for the preparation, processing, and producing of AAMCs. This paper aims to correlate the most important factor namely size dependency (in the opinion of the authors) to mechanical properties in architectural designs in AMMCs, and should serve as a guide for research on AMMCs, to design target performance levels for applications to numerous and different industrial applications. [ABSTRACT FROM AUTHOR]

A national population census is instrumental in offering a holistic view of a country's progress, directly influencing policy formulation and strategic planning. Potential flaws in the census system can have detrimental impacts on national development. Our prior research has pinpointed various deficiencies in current census methodologies, including inadequate population coverage, racial and ethnic discrimination, and challenges related to data privacy, security, and distribution. This study aims to address the "missing persons" challenge in the national census population and housing system. The integration of blockchain technology emerges as a promising solution for addressing these identified issues, enhancing the integrity and efficacy of census processes. Building upon our earlier research which examined the national census system of Pakistan, we propose an architecture design incorporating Hyperledger Fabric, performing system sizing for the entire nation count. The Blockchain-Based Implementation of National Census as a Supplementary Instrument for Enhanced Transparency, Accountability, Privacy, and Security (BINC-TAPS) seeks to provide a robust, transparent, scalable, immutable, and tamper-proof solution for conducting national population and housing censuses, while also fostering socio-economic advancements. This paper presents a comprehensive overview of our research, with a primary focus on the implementation of the blockchain-based proposed solution, including prototype testing and the resulting outcomes. [ABSTRACT FROM AUTHOR]

Copyright of Southwest China Journal of Agricultural Sciences is the property of Editorial Department of Southwest China Journal of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

An autonomous vehicle operating alongside humans should ideally have a high social capability, such as being able to communicate with humans, negotiate space, predict reactions, etc. This can be achieved by a prediction feature trained with diverse data on human behavior. Hierarchical cyber-physical system (CPS) architecture design, which sends the prediction feature to an external server while observing a limited operational design domain (ODD) and acquiring data continuously, has great potential to refine the training process as well as improve the performance. However, this architecture design requires the planning and prediction modules to be explicitly decoupled, which takes away from the recent success on social navigation. In this paper, we propose a novel autonomous navigation framework enabling social behavior while decoupling the planning and prediction modules to take advantage of the hierarchical CPS architecture. In the proposed framework, pedestrian trajectories are predicted as reactions to pre-generated candidates for an ego vehicle trajectory, and the ego vehicle trajectory is then selected to maximize mutual benefit to both the ego vehicle and surrounding pedestrians. We evaluated the proposed framework with simulations using the social force model and found that it was able to achieve the social behavior. [ABSTRACT FROM AUTHOR]

The process of selecting building materials is a complex process that is affected by many restrictions, criteria and considerations. Often, the process is carried out spontaneously without considering the design criteria and neglects the building's function. Therefore, it is crucial to identify the key criteria impacting material selection. Design criteria vary based on a building's intended purpose and location, leading to distinct considerations. This study identifies five main design criteria: physical, cultural-social, environmental, economic, and technical. Experts in architecture participated in a survey, with Analytic Hierarchy Process (AHP) used to assign weights to these criteria. The research findings highlight that material select for a building's envelope depend on its function and context. In religious buildings, cultural criteria are vital, regardless of historical or modern contexts. Historical residential buildings prioritize cultural criteria, while modern ones lean toward economic considerations. Commercial buildings have historically been influenced by physical factors but are now more influenced by technical criteria. This study highlights the importance of considering a variety of design criteria when selecting building materials to ensure effective adaptation to the building's use and context. [ABSTRACT FROM AUTHOR]

Copyright of Study on Optical Communications / Guangtongxin Yanjiu is the property of Study on Optical Communications Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The various colors and color combinations in an urban environment are perceived and experienced individually. The article indicates the important role of color in shaping architecture and urban space. The paper discusses the theories of color harmony as an aesthetic principle in architectural design. The results of the research have proven the significant role of color as an element of the composition of urban space affecting the observer. This translates into the importance of color in architectural design, taking into account the difficulty and ambiguity in predicting color aesthetics; the impact of color on humans; and its cognitive, emotional and behavioral effects. The information and conclusions obtained as a result of the literature studies and the results of the survey gave the basis for determining various color strategies in shaping architecture and the effects that we can achieve in urban space thanks to a well-thought-out, conscious use of colors. The research findings also indicate that it is necessary to supplement architectural education programs with broadly understood knowledge about color and its impact on humans. The implemented activities are a response to current ideas and directions in designing and teaching architectural design outlined and suggested as part of the New European Bauhaus initiative. [ABSTRACT FROM AUTHOR]

Cyber-physical systems (CPS) represent devices whose components enable interaction between machines and processes. One of the biggest challenges of these systems today is the ability to adjust to changes at the time of execution as they are implemented in environments with a multidimensional complexity, this challenge is currently addressed from the design of the systems themselves by integrating sustainability. With this problem in mind, the present document describes a systematic mapping study of the literature with the goal of demonstrating the current panorama of the frameworks, designs, and/or models used at the time of initiating the development of a cyber-physical system. As a result, it has been concluded that there is a lack of guidelines to construct sustainable, and evolvable cyber-physical systems. To address these issues, a framework for designing sustainable CPS architectures is outlined. [ABSTRACT FROM AUTHOR]

This article has aimed to analyze the intellectual structure associated with the contributions made by academics and practitioners of architecture in the association between housing and COVID-19 in the years 2019–2021. The main results reveal the possibility of establishing a classification, by topics that suggest the necessary interdisciplinary collaboration for housing, to meet the needs and desires of its users in the wake of this pandemic. The network analysis has allowed the identification of overlapping communities through interconnection concepts to other groups or clusters. Thus, it has been possible to explore the multidimensionality of the housing–COVID connection and the interrelationships for future research and its possible extension. In this sense, the importance of the specific concepts associated with very detailed elements, sensations and spaces in buildings has been identified, including concepts such as the air quality and the need for green spaces, the presence or not of balconies, the need for natural light, the existence of cross ventilation or the possibility of incorporating technology or home automation to facilitate and save resources in daily life. [ABSTRACT FROM AUTHOR]

Copyright of Automotive Digest is the property of Automotive Digest Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Lunar habitat design is a complex endeavor characterized by complicated task-composition, numerous internal iterations, and intense task-coupling. The design process of assembled building in terrestrial construction and the system composition of lunar habitats have been constructed. However, there is insufficient experience to fully understand lunar habitat design missions and likewise there is insufficient coordination between architects and various disciplines. The task flow for sequencing optimization can be determined using a design structure matrix (DSM), which is widely used in engineering. The DSM can reveal necessary interfaces within the lunar habitat system as per relevant interface variables and processes. By decomposing the lunar habitat design process, an initial activity-based DSM is established in the present study. Informational interactions between each design task and its respective intensity are statistically investigated to clarify them across the four dimensions of energy, space, materials, and information. A sequencing algorithm is applied to optimize the design process. Finally, 20 design tasks of lunar habitat design are clarified among four phases: Pre-planning, spatial design, environmental design, and optimization. Related disciplines should coordinate in the design process according to the optimization results, and use the optimized task coupling relationship to build the requirement model and design model in an orderly manner to improve the design efficiency. [ABSTRACT FROM AUTHOR]

With the increasing amount of data, there is an urgent need for efficient sorting algorithms to process large data sets. Hardware sorting algorithms have attracted much attention because they can take advantage of different hardware’s parallelism. But the traditional hardware sort accelerators suffer “memory wall” problems since their multiple rounds of data transmission between the memory and the processor. In this paper, we utilize the in-situ processing ability of the ReRAM crossbar to design a new ReCAM array that can process the matrix-vector multiplication operation and the vector-scalar comparison in the same array simultaneously. Using this designed ReCAM array, we present ReCSA, which is the first dedicated ReCAM-based sort accelerator. Besides hardware designs, we also develop algorithms to maximize memory utilization and minimize memory exchanges to improve sorting performance. The sorting algorithm in ReCSA can process various data types, such as integer, float, double, and strings. We also present experiments to evaluate the performance and energy efficiency against the state-of-the-art sort accelerators. The experimental results show that ReCSA has 90.92×, 46.13×, 27.38×, 84.57×, and 3.36× speedups against CPU-, GPU-, FPGA-, NDP-, and PIM-based platforms when processing numeric data sets. ReCSA also has 24.82×, 32.94×, and 18.22× performance improvement when processing string data sets compared with CPU-, GPU-, and FPGA-based platforms. [ABSTRACT FROM AUTHOR]

Copyright of Command Control & Simulation / Zhihui Kongzhi yu Fangzhen is the property of Command Control & Simulation Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of South-Central Minzu University (Natural Science Edition) is the property of Journal of South-Central Minzu University (Natural Science Edition) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

SUMMARY: Modules are requisite for the realization of modular reconfigurable manipulators. The design of modules in literature mainly revolves around geometric aspects and features such as lengths, connectivity and adaptivity. Optimizing and designing the modules based on dynamic performance is considered as a challenge here. The present paper introduces an Architecture-Prominent-Sectioning (APS) strategy for the planning of architecture of modules such that a reconfigurable manipulator possesses minimal joint torques during its operations. Proposed here is the transferring of complete structure into an equivalent system, perform optimization and map the resulting arrangement into possible architecture. The strategy has been applied on a set of modular configurations considering three-primitive-paths. The possibility of getting advanced/complex shapes is also discussed to incorporate the idea of a modular library. [ABSTRACT FROM AUTHOR]

Microstructure architectures greatly influence the tensile properties of materials, especially for high-temperature tensile properties. A better reinforcing effect could be achieved with the same reinforcement by tailoring the reinforcement architectures. In this study, the homogeneous, linear, and network AlN were fabricated in situ by the solid–liquid reaction. The effects of different architectures were investigated on the mechanical (hardness and tensile) properties of AlN/Al composites. The AlN network presents a significant reinforcing effect in the Al matrix at room temperature (289 MPa) and 350 °C (125 MPa). The direct observation of microstructural evolution like grain orientation, grain boundaries, and strain field during the tensile deformation at 350 °C contributes to revealing the strengthening mechanism of AlN network. It is found that AlN network can strengthen grains and grain boundaries together. Besides, AlN network can impede the crack propagation and increase the crack capability of network AlN/Al composites. Our findings in this study may help design heat resistance Al materials with high performance. [ABSTRACT FROM AUTHOR]

The most difficult objective for students in an architectural design studio is to produce a design concept satisfyingly. This is due not just to the difficulty of selecting an appropriate method of approaching concepts, but also because of the many transformations associated with the concept's evolution over time. This research examines the modifications that occur throughout the conceptual phase of a design session. We hypothesize that while students' conception methods have been more abstract in creating a concept, they are subject to more alterations during the early phase of design. The research conducts concept generation and transformations by monitoring a group of fourth-grade architecture students through their design process. It also tries to link those transformations to the various methods utilized by students to create their concepts. It appears that the transformations that occurred throughout the design sessions were either formal or functional-oriented. Observations clarify that those transformations are linked to the sort of concept generating, which is either abstract or concrete. By observing the design sessions, the research was able to confirm that the modifications implemented to the design concepts were tied to the nature of their selection of methods of production. When compared to concrete nature concepts, abstract nature concepts were more vulnerable to transformations throughout the conceptual phase on the scope of form and function. [ABSTRACT FROM AUTHOR]

With the rapid development of communication and the rise of new network services, the resource provisioning of the optical access network becomes more significant than before, especially under the multiple-domain networking situation with the requirement of cross-domain service support. For the sake of high resource utilization to establish more connections of services, this paper proposes a cross-domain resource allocation (CDRA) scheme in a software-defined optical access network to meet the huge bandwidth supporting the requirement of new network services. To achieve this purpose, the global evaluation strategy with the consideration of the traffic situation in each node in its domain is presented in the CDRA scheme, and its interaction process makes decisions for comprehensive optimal resource allocation by integrating radio resources and optical aggregation resources of the entire access network. Furthermore, to manage the resources among multiple domains and support the interaction process of the CDRA scheme, a cross-domain unified control architecture is firstly upgraded by using software-defined networking technology, which includes the further design of CDRA function modules with the global evaluation strategy. The simulation results verify the feasibility of the upgraded architecture and further show that the proposed CDRA scheme can effectively decrease the blocking probability with a 29.35% improvement, balance the network load, and enhance the utilization of network resources of the network. [ABSTRACT FROM AUTHOR]

Three-dimensional (3D) printing has become a fundamental issue in modern global technology, touching practically every element of modern human life. Three-dimensional (3D) printing (also known as additive manufacturing) is an advanced manufacturing technology that can autonomously manufacture complicated shape geometries from a 3D computer-aided design model without the use of equipment or fixtures. However, there is a friction between traditional designs and the rise of 3D printed technology when it comes to architectural healing approaches, and this adaptability is hurting human healing tactics that are dependent on the relationship between space and environment. Due to its capacity to create products in a wide range of materials rapidly and at a lower cost, additive manufacturing is having a significant impact on production in a variety of areas. Even though it encompasses a wide range of techniques and applications, additive manufacturing (AM) may be described as a system for converting solid model data from a computer-based model into a physical prototype by the incremental addition of material via layer superposition. Therefore, this research aims to examine the 3d printed green walls as new proposed design elements that can upgrade the natural healing architecture. To achieve this goal, the study begins with a literature review that includes scientific methodology based on principles that assist architects dealing with advanced tools in transforming their intentions from digital to analogue means as part of a controlled system intended to innovate design and construction principles of the use of 3D printed green walls. It will also assist in the quest for a concept design that confronts the regeneration of a new spatial delineation ideology. [ABSTRACT FROM AUTHOR]

Over the life cycle of a civil infrastructure (a bridge as an example), 0.4–2% of the construction cost is spent annually on its maintenance. Utilising new technologies including the internet of things (IoT) and digital twin (DT) can significantly reduce the infrastructure maintenance costs. An infrastructure DT involves its digital replica and must include data on geometric, geospatial reference, performance, attributes (material, environment etc.) and management. Then, the acquired data need to be analysed and visualised to inform maintenance decision making. To develop this DT, the first step is the study of the infrastructure life cycle to design DT architecture. Using data semantics, this paper presents a novel DT architecture design for an intelligent infrastructure maintenance system. Semantic modelling is used as a powerful tool to structure and organize data. This approach provides an industry context through capturing knowledge about infrastructures in the structure of semantic model graph. Using new technologies, DT approach derives and presents meaningful data on infrastructure real-time performance and maintenance requirements, and in a more expressible and interpretable manner. The data semantic model will guide when and what data to collect for feeding into the infrastructure DT. The proposed DT concept was applied on one of the conveyors of Dalrymple Bay Coal Terminal in Queensland Australia to monitor the structural performance in real-time, which enables predictive maintenance to avoid breakdowns and disruptions in operation and consequential financial impacts. [ABSTRACT FROM AUTHOR]

Continuous-flow microfluidic biochips have attracted high research interest over the past years. Inside such a chip, fluid samples of milliliter volumes are efficiently transported between devices (e.g., mixers, heaters, etc.) to automatically perform various laboratory procedures in biology and biochemistry. Each transportation task, however, requires an exclusive flow path composed of multiple contiguous microchannels during its execution period. Excess/waste fluids, in the meantime, should be discarded by independent flow paths connected to waste ports. All these paths are etched in a very tiny chip area using multilayer soft lithography and driven by flow ports connecting with external pressure sources, forming a highly integrated chip architecture that determines the final performance of biochips. In this article, we propose a new and practical design flow called PathDriver+ (PD+) for the architecture design of microfluidic biochips, integrating the actual fluid manipulations into both high-level synthesis and physical design, which has never been considered in prior work. With this design flow, highly efficient chip architectures with a flow-path network that enables the actual fluid transportation and removal can be constructed automatically. Meanwhile, fluid volume management between devices and flow-path minimization are realized for the first time, thus, ensuring the correctness of assay outcomes while reducing the complexity of chip architectures. Additionally, diagonal channel routing is implemented to fundamentally improve the chip performance. The tradeoff between the numbers of channel intersections and fluidic ports is evaluated to further reduce the fabrication cost of biochips. The experimental results on multiple benchmarks confirm that the proposed design flow leads to high assay execution efficiency and low overall chip cost. [ABSTRACT FROM AUTHOR]

The Prognostic and Health Management (PHM) system of an aircraft has complex structures and diverse functions. It is highly coupled with other systems, such as the avionics system and flight management system. The Model-based Systems Engineering (MBSE) method is effective to support the design and verification of the aircraft PHM system. As a powerful semantic web construction method, ontology has been widely used to express design information, such as the concepts and the relationships between them. However, traditional graphical MBSE models have a naturalweakness in transforming into ontology. In this paper, a semanticMBSEmethod is proposed to support the transform of the ontology model. Firstly, according to the design characteristics of the aircraft PHM system, a meta-model library of the aircraft PHM system is developed to support the design and evaluation. An MBSE modeling method based on requirement analysis, function analysis, logical architecture design, and physic architecture design is applied in the PHM design process. Secondly, the semantic system modeling language KARMA based on "graph, object, property, point, relationship, role, and extension" (GOPPRRE) is used to transfer the graphicalMBSE model to the semanticMBSE model, which can be easily transformed to an ontology model. Finally, an ontology based on semantic modeling is developed to describe the MBSE entities and to support MBSE design. In this paper, a case study of an aircraft fuel PHM system is carried out to validate the proposed method. Based on the developed meta-model library, a complete MBSE design process for the aircraft PHM system is realized. And then an ontology model supporting PHM systemdesign is generated from the semanticMBSEmodel. The MBSE ontology provides a shareable capability to help designers communicate effectively. Quantitative analysis based on ontology is also provided to verify the complexity and scale of the MBSE design process. Moreover, logical reasoning ability can also be provided to support the early requirement traceability for MBSE design. In general, the case study results show the feasibility and effectiveness of the proposed method for the aircraft PHM system design. [ABSTRACT FROM AUTHOR]

This article explores the wide-ranging impact of inviting architecture students to increase conscious somatic awareness of their body and function, and the effects on their design process. This paper analyses the results of a Movement Awareness Intervention conducted prior to students undertaking their usual architectural design studio at the Queensland University of Technology, Brisbane, Australia. The impact of a global trend in extensive use of digital design tools has resulted in impacts on components in the architecture design process that appear to be slipping under the radar in architecture education and practice. This article addresses issues raised by Juhani Pallasmaa and Paolo Belardi, bolstered by neuroscience research by Harry Mallgrave and colleagues, to explore the impact of heightened conscious bodily awareness upon the cognitive design thinking processes required in the architecture. The case study research using mixed data collection methods on 39 participants draws upon surveys, hand notations, and audio interviews to track participant perceptions of the impact on their design process in action. Analysis of the data produced in this study addresses the concerns raised by theses seminal writers. This paper argues for new approaches to reconfiguring and recalibrating of emotional, cognitive, and physical stimulants that were once invisibly physically embedded in the traditional architectural design process to work with digital design technology. [ABSTRACT FROM AUTHOR]

The parallel architecture can improve the training speed of Deep learning models and it is beneficial to model optimization. This research designs Optimal Interleaved Distributed Architecture (OIDA). Its characteristics are (1) the data set that each child node participates in training is fixed and unique; (2) multiple approaches ensure that the model parameters of each child node participating in training each time are always optimal; (3) the computing units of each child node are interleaved for training without stopping. The architecture can be deployed as Single Machine Parallel (SMP) or Multi Machine Distributed (MMD), or a combination of both. The experimental results show that its efficiency is obvious in a multi-machine multi-card environment, and the model speed of training millions of parameters in a 5-machine 10-card lightweight (Graphics Processing Unit (GPU) of 2GB memory) cluster can reach megapixels/s. When training the same amount of training data, GPU can process data faster than Central Processing Unit (CPU) with the same number of clusters. 4-machine 4-core GPU parallel saves 65.61% of time compared with 4-machine 4-core CPU parallel, while 4-machine 8-core GPU saves 83.32% of time compared with 4-machine 4-core CPU parallel. For polarized Synthetic Aperture Radar (SAR) Deep learning data sets, increasing the number of computers in the cluster can effectively save training time. In the experimental environment of this research, there is no situation that when the number of computers in the cluster increases due to network data transmission, the training time does not decrease. [ABSTRACT FROM AUTHOR]

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The employment of microwave absorbents is highly desirable to address the increasing threats of electromagnetic pollution. Importantly, developing ultrathin absorbent is acknowledged as a linchpin in the design of lightweight and flexible electronic devices, but there are remaining unprecedented challenges. Herein, the self-assembly VS4/rGO heterostructure is constructed to be engineered as ultrathin microwave absorbent through the strategies of architecture design and interface engineering. The microarchitecture and heterointerface of VS4/rGO heterostructure can be regulated by the generation of VS4 nanorods anchored on rGO, which can effectively modulate the impedance matching and attenuation constant. The maximum reflection loss of 2VS4/rGO40 heterostructure can reach − 43.5 dB at 14 GHz with the impedance matching and attenuation constant approaching 0.98 and 187, respectively. The effective absorption bandwidth of 4.8 GHz can be achieved with an ultrathin thickness of 1.4 mm. The far-reaching comprehension of the heterointerface on microwave absorption performance is explicitly unveiled by experimental results and theoretical calculations. Microarchitecture and heterointerface synergistically inspire multi-dimensional advantages to enhance dipole polarization, interfacial polarization, and multiple reflections and scatterings of microwaves. Overall, the strategies of architecture design and interface engineering pave the way for achieving ultrathin and enhanced microwave absorption materials. [ABSTRACT FROM AUTHOR]

The development of cloud infrastructures inspires the emergence of cloud-native computing. As the most promising architecture for deploying microservices, serverless computing has recently attracted more and more attention in both industry and academia. Due to its inherent scalability and flexibility, serverless computing becomes attractive and more pervasive for ever-growing Internet services. Despite the momentum in the cloud-native community, the existing challenges and compromises still wait for more advanced research and solutions to further explore the potential of the serverless computing model. As a contribution to this knowledge, this article surveys and elaborates the research domains in the serverless context by decoupling the architecture into four stack layers: Virtualization, Encapsule, System Orchestration, and System Coordination. Inspired by the security model, we highlight the key implications and limitations of these works in each layer, and make suggestions for potential challenges to the field of future serverless computing. [ABSTRACT FROM AUTHOR]

Copyright of Journal on Communication / Tongxin Xuebao is the property of Journal on Communications Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Due to the complexity of business ecosystems, the architecture of business ecosystems has not been well discussed in the literature, and modeling or simulation of business ecosystems has been rarely focused. Therefore, this paper proposes a business ecosystem ontology and introduces a methodology for business ecosystem architecture design. The proposed methodology includes five stages: 1) Boundary identification of a business ecosystem; 2) Identification of actors and their roles in the business ecosystem; 3) Identification of actors' value propositions; 4) Identification of interaction between actors; 5) Verification of business ecosystem architecture design. This paper uses the Danish electricity system as an example to introduce the methodology, and use Electric Vehicle home charging as a case study to demonstrate the application of the developed methodology. The case study demonstrates that the proposed methodology is a systematic approach and can be easily applied to any ecosystem architecture design with the five stages, and the designed ecosystem architecture can represent the physical system and business. Several definitions are clarified in the paper, e.g., actor, role, interaction, ecosystem roadmap and expanded/shifted ecosystem, etc. With clear definitions, the proposed methodology provides a visualized, clear structure of behaviors and specifications for a given business ecosystem. [ABSTRACT FROM AUTHOR]