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Maintenance in a stochastic job shop scheduling environment significantly impacts real-time scheduling problems with the environmental aspect. This simulation research assesses the effect of a reliability-based preventive maintenance approach to system performance for considering job shop scheduling problems with sequence-dependent setup time (SDST). Two types of reliability-based maintenance approaches are considered, i.e., reliability-centered preventive maintenance (RCPM) and a reliability-centered periodic preventive maintenance approach (RCPPM). The shop comprises 10 different machines and six job types. Six scheduling and two energy-oriented performance measures (Pms) are considered for evaluating the system's performance. Results reveal that lower levels of reliability, namely, 0.74, 0.78, and 0.82 recommended for mean flow time, makespan, average operation energy consumption, average idle energy consumption, and total setups Pms. A 0.74 level of reliability is recommended for mean tardiness and the number of tardy jobs Pms for the RCPM approach. RCPPM approach provides the best system Pms by mean flow time, makespan, mean tardiness, average operation energy consumption, average idle energy consumption, and the number of tardy jobs when maintenance time is 5% of operation time. In contrast, mean setup, and total setups Pms are independent of maintenance time. Both approaches get compared, and its statistical analysis shows that if maintenance time is 15% or more than 15% of the operation time, the RCPM method is recommended. If maintenance time is 10% or less than 10% of the operation time, maintenance planning is recommended using the RCPPM approach. Considering real-time scheduling work with the environmental aspect represents the novelty of the present study. [ABSTRACT FROM AUTHOR]

A dynamic urban form can be defined as emerging in the planning, and development of urban centers as a city where there is a defined perimeter, inside which lies a population that is self-sufficient supporting by the technologies and economy within the city fully employs the population, the services, and cultural infrastructure within the city are sufficient to supply for the population in the cities. One of the most significant driving forces of change in any urban system is population development. This randomness in growth causes an imbalance in the civil system through environmental problems on the life system that change year after year with the emergence of environmental, health, and economic problems. In addition to the revolutions in economic development and technology, rapid urban growth can be defined by the development of suburban expansion and city center regeneration. The main aim is to challenge the static nature of traditional urban planning processes and practices to look at the potential benefits of developing cities with a focus on technology, urban layout, ecology, sustainability in Lebanon-Tripoli Saki Al-Shemaly. This research approach to futuristic strategies design based on live problems, rearrangement urban city's zoning, design multi-function buildings, protecting occupant health and improving employee productivity to reach the Quality-of-Life Efficient Land-Use, Preservation Efficient, Transportation Management and Efficient Use of Resources to evolve and adapt to the changes, and demands of the future city. The city must grow upward or downward if the urban population swells. [ABSTRACT FROM AUTHOR]

Phobia in its broadest sense is an irrational fear or feeling, created in a person toward an object or a certain situation that might happen around him or in his imagination and it can be related to natural elements such as animals, insects, oceans, fire and heights. Furthermore, it can be related to build environment and manmade spaces or more simply, to architecture. Unfortunately, architects shifted from the standardisation and regularity to creating innovative and irregular spaces that are reflected by the exterior and interior design of the building without having any concern of the negative consequences such as phobias and anxiety disorder among people. Therefore, this paper aims to detect the contemporary design elements and representations that generated types of phobias to the users of projects. To achieve the main aim, this paper will begin by literature review, based on desk research, defining the meaning of phobia, recognising its types and reasons. Then, the paper will highlight the historical background of phobia in architecture, browsing previous readings about the phobia in the contemporary architecture. After that, the research will analyse three case studies that are Roland Messner Museum in South Tyrol of Italy, The Musée des Confluences in Lyon, Lou Ruvo Centre for Brain Health in Las Vegas. Through the analysis, the research will detect the elements and representations that generated different types of phobias, it can be recognised if the spaces of these three projects targeted to generate phobia on purpose or it was a spontaneous feeling by some users. Another finding can be figured out, a judgment of criticism can determine if these designs were successful through using these thrilling elements or not. In conclusion, a set of contemporary design elements that stimulate phobia for users is defined. [ABSTRACT FROM AUTHOR]

The article explores the work of artist and architect Friedensreich Hundertwasser. Topics covered include a short biography of Hundertwasser, his philosophy of reducing optical environmental pollution in the urban living space, and his idea of designing aesthetic spaces for living and working while honoring the natural environment. Also discussed are some of his known designs in Austria, including the District Heating Plant, the Hundertwasser House, and the Rainbow Spiral of Valkenburg.

The article focuses on material architecture and its role in capitalism. It reports on political economy related to physical infrastructure, models organization and industrialization. It also highlights the digitization of social organization and reflects on the progress of electricity consumption, as of the year 2020.

Background and Aims Light interception is closely related to canopy architecture. Few studies based on multi-view photography have been conducted in a field environment, particularly studies that link 3-D plant architecture with a radiation model to quantify the dynamic canopy light interception. In this study, we combined realistic 3-D plant architecture with a radiation model to quantify and evaluate the effect of differences in planting patterns and row orientations on canopy light interception. Methods The 3-D architectures of maize and soybean plants were reconstructed for sole crops and intercrops based on multi-view images obtained at five growth dates in the field. We evaluated the accuracy of the calculated leaf length, maximum leaf width, plant height and leaf area according to the measured data. The light distribution within the 3-D plant canopy was calculated with a 3-D radiation model. Finally, we evaluated canopy light interception in different row orientations. Key Results There was good agreement between the measured and calculated phenotypic traits, with an R 2 >0.97. The light distribution was more uniform for intercropped maize and more concentrated for sole maize. At the maize silking stage, 85 % of radiation was intercepted by approx. 55 % of the upper canopy region for maize and by approx. 33 % of the upper canopy region for soybean. There was no significant difference in daily light interception between the different row orientations for the entire intercropping and sole systems. However, for intercropped maize, near east–west orientations showed approx. 19 % higher daily light interception than near south–north orientations. For intercropped soybean, daily light interception showed the opposite trend. It was approx. 49 % higher for near south–north orientations than for near east–west orientations. Conclusions The accurate reconstruction of 3-D plants grown in the field based on multi-view images provides the possibility for high-throughput 3-D phenotyping in the field and allows a better understanding of the relationship between canopy architecture and the light environment. [ABSTRACT FROM AUTHOR]

Cancer is a complex disease in which both genetic defects and microenvironmental components contribute to the development, progression, and metastasization of disease, representing major hurdles in the identification of more effective and safer treatment regimens for patients. Three-dimensional (3D) models are changing the paradigm of preclinical cancer research as they more closely resemble the complex tissue environment and architecture found in clinical tumors than in bidimensional (2D) cell cultures. Among 3D models, spheroids and organoids represent the most versatile and promising models in that they are capable of recapitulating the heterogeneity and pathophysiology of human cancers and of filling the gap between conventional 2D in vitro testing and animal models. Such 3D systems represent a powerful tool for studying cancer biology, enabling us to model the dynamic evolution of neoplastic disease from the early stages to metastatic dissemination and the interactions with the microenvironment. Spheroids and organoids have recently been used in the field of drug discovery and personalized medicine. The combined use of 3D models could potentially improve the robustness and reliability of preclinical research data, reducing the need for animal testing and favoring their transition to clinical practice. In this review, we summarize the recent advances in the use of these 3D systems for cancer modeling, focusing on their innovative translational applications, looking at future challenges, and comparing them with most widely used animal models. [ABSTRACT FROM AUTHOR]

The present article discusses the issue of automation of the CICO (Check-In/Check-Out) process for public transport fare collection systems, using modern tools forming part of the Internet of Things, such as Beacon and Smartphone. It describes the concept of an integrated passenger identification model applying machine learning technology in order to reduce or eliminate the risks associated with the incorrect classification of a smartphone user as a vehicle passenger. This will allow for the construction of an intelligent fare collection system, operating in the BIBO (Be-In/Be-Out) model, implementing the "hands-free" and "pay-as-you-go" approach. The article describes the architecture of the research environment, and the implementation of the elaborated model in the Bad.App4 proprietary solution. We also presented the complete process of concept verification under real-life conditions. Research results were described and supplemented with commentary. [ABSTRACT FROM AUTHOR]

In this paper, we present a novel detection architecture in a through-wall environment using impulse radio ultra-wideband(IR-UWB) radar. In the proposed architecture, multiple moving target indicators and constant false alarm rate(CFAR) detectors are combined to detect both stationary and moving targets. Each detector is designed for the state of targets; in particular, the modified CFAR method is applied to detect fast-moving targets precisely. The outputs of the CFAR detectors are combined through a logical operation to achieve high detection rates for the targets in different movement. This fusion can be used not only to achieve a high detection rate but also increase the false alarm rate. The characteristics of the signals detected on the CFAR are analyzed to reduce the high false alarm rate by classifying the actual target and false target. Experiments were performed for different scenarios of multiple targets using various movements. It is verified that the proposed algorithm has improved performance in terms of both detection rate and false alarm rate compared with conventional approaches, such as cell averaging CFAR and ordered statistics CFAR. [ABSTRACT FROM AUTHOR]

Evidence from empirical literature suggests that explainable complex behaviors can be built from structured compositions of explainable component behaviors with known properties. Such component behaviors can be built to directly perceive and exploit affordances. Using six examples of recent research in legged robot locomotion, we suggest that robots can be programmed to effectively exploit affordances without developing explicit internal models of them. We use a generative framework to discuss the examples, because it helps us to separate—and thus clarify the relationship between—description of affordance exploitation from description of the internal representations used by the robot in that exploitation. Under this framework, details of the architecture and environment are related to the emergent behavior of the system via a generative explanation. For example, the specific method of information processing a robot uses might be related to the affordance the robot is designed to exploit via a formal analysis of its control policy. By considering the mutuality of the agent-environment system during robot behavior design, roboticists can thus develop robust architectures which implicitly exploit affordances. The manner of this exploitation is made explicit by a well constructed generative explanation. [ABSTRACT FROM AUTHOR]

The Young Suns Exoplanet Survey consists of a homogeneous sample of 70 young, solar-mass stars located in the Lower Centaurus-Crux subgroup of the Scorpius-Centaurus association with an average age of 15 ± 3 Myr. We report the detection of a co-moving companion around the K3IV star TYC 8998-760-1 (2MASSJ13251211–6456207) that is located at a distance of 94.6 ± 0.3 pc using SPHERE/IRDIS on the VLT. Spectroscopic observations with VLT/X-SHOOTER constrain the mass of the star to |$1.00\pm 0.02\, \mathrm{M}_{\odot }$| and an age of |$16.7\pm 1.4\,$| Myr. The companion TYC 8998-760-1 b is detected at a projected separation of 1.71″, which implies a projected physical separation of 162 au. Photometric measurements ranging from Y to M band provide a mass estimate of |$14\pm 3\, M_\mathrm{jup}$| by comparison to BT-Settl and AMES-dusty isochrones, corresponding to a mass ratio of q  = 0.013 ± 0.003 with respect to the primary. We rule out additional companions to TYC 8998-760-1 that are more massive than |$12\, M_\mathrm{jup}$| and farther than 12 au away from the host. Future polarimetric and spectroscopic observations of this system with ground and space based observatories will facilitate testing of formation and evolution scenarios shaping the architecture of the circumstellar environment around this 'young Sun'. [ABSTRACT FROM AUTHOR]

We report on a system architecture, SEArch, and its associated methods and tools we have been developing, testing, and extending for several years through a number of innovation processes in the field of Smart Environments. We have developed these infrastructure in a bottom-up fashion directed by the needs of the different projects as opposed to an ideal one which projects have to conform to. In this sense is practical and although necessarily incomplete, it has significant versatility and reasonable efficiency. Projects developed using this architecture have been funded by different companies and funding bodies in Europe. The different components of the architecture are explained through the software supporting those aspects of the system and through the functionality they exhibit in different practical scenarios, extracted from some of the projects implemented with SEArch. [ABSTRACT FROM AUTHOR]

This paper presents the ARQUIGRAFIA project, an open, public and nonprofit, continuous growth web collaborative environment dedicated to Brazilian architectural photographic images. The ARQUIGRAFIA project promotes the active and collaborative participation among its institutional users (GLAMs, NGOs, laboratories and research groups) and private users (students, professionals, professors, researchers), both can create an account and share their digitized iconographic collections in the same Web environment by uploading their files, indexing, georeferencing and assigning a Creative Commons license. The development of users interactions by means of semantic differentials impressions recording on visible plastic-spatial aspects of the architectures in synthetic infographics, as well as by the retrieval of images through an advanced system search based on those impressions parameters. By gamification means, the system often invites users to review images' in order to improve images' data accuracy. The pilot project named Open Air Museum that allows users to add audio descriptions to images in situ. An interface for users' digital curatorship will be soon available. The ARQUIGRAFIA's multidisciplinary team gathering professors-researchers, graduate and undergraduate students from the Architecture and Urbanism, Design, Information Science, Computer Science faculties of the University of São Paulo, demands continuous financial resources for grants, for contracting third party services, for the participation in scientific events in Brazil and abroad, and for equipment. Since 2016, significant budget cuts in the University of São Paulo own research funds and in Brazilian federal scientific agencies can compromise the continuity of this project. The open source template called +GRAFIA that can freely help other areas of knowledge to build their own visual Web collaborative environments. The collaborative nature of the ARQUIGRAFIA distinguishes it from institutional image databases on the internet, precisely because it involves a heterogeneous network of collaborators. [ABSTRACT FROM AUTHOR]

With the rapid development of big data and cloud computing, vehicular is connected to the Internet in the complex and uncertain driving environment. The rapid growth of the types of services used by vehicles has made the problem of inefficient of traditional driving environment architecture more and more obvious. The vehicle has to register and remember a large number of usernames and passwords to each server. Authentication schemes for multi-server architectures have been proposed and applied to a wide range of areas, but there has been little research on the Internet of vehicles. The long-term evolution for vehicle (LTE-V) is a wireless network architecture and can be used for cooperative communication in vehicular network. Communications and authentication for LTE-V have the high request in complex and uncertain driving environment. To meet the needs of complex and uncertain driving environments, this paper proposes a novel mutual authentication and the key agreement scheme (LEANDER) under multi-server architecture. In this scheme, elliptic curve is used to reduce the computational complexity, and a more concise authentication method is constructed. Random anonymity supports multi-server for two-way authentication and key agreement, so as to effectively protect the privacy of the vehicle. Moreover, it can be use BAN logic to prove and analyze the effectiveness of this scheme. The performance analysis results show that the proposed mutual authentication scheme is effective and more secure than other state-of-the-art methods. [ABSTRACT FROM AUTHOR]

The Brazilian population, in recent years, having greater contact with computational machines, needs to understand the functioning of these machines, as knowing how these devices work is important to facilitate everyday tasks, such as choosing the most suitable device considering one's needs. Therefore, it is necessary to learn basic Computer Architecture concepts, regarding the hardware in relation to features and characteristics and considering the differences between physical components, focusing on the utility of each component. Traditionally, computer architecture is taught only in technical and undergraduate courses, where the target audience aims for professional qualification. However, there are few initiatives to teach computer architecture concepts for the general public, without a pure technical interest. The present work present a methodological approach for teaching computer architecture in non-formal environments, for the general, uninitiated in Computer Science, public. The approach consists in a methodology that applies several teaching and learning tools, such as Station Rotations, Gamification and Taxonomy of Educational Objectives. The target audience of this work were children school, aged between 11 and 14 years old. Based on the analyses of collected data, the methodology was satisfactory. The participants were able to obtain the Knowledge and Comprehension levels from the cognitive domain of Taxonomy of Educational Objectives, and also the receiving, responding and valuing levels from the affective domain. Pretest and posttest results were used to validate the taxonomy evaluation, where correct answers grew by 33 percentage points, in average, after the methodological approach. [ABSTRACT FROM AUTHOR]

Purpose of Article. The research is related to the study of the main components of the exhibition design and innovative technologies that are used in the organization of exhibition spaces. The purpose of this work is to determine the role of the design of exhibits in modern design and artistic activities. Methodology. Common scientific methods, namely analysis, and synthesis, induction and deduction, description, are used to study the exhibition design. The method of system-functional analysis helped to investigate this phenomenon in interconnection with other areas of design: architecture, interior design, graphic design, and environmental design. Interdisciplinary and comparative approaches have led to the unification of various concepts to identify the role of exhibition design in modern information and communicative space, namely art studies and aesthetics, social philosophy, and semiotics. Hermeneutical and phenomenological methods are basic for the research of exhibition design. Interdisciplinary and comparative approaches have led to the integration of different concepts to determine the place of exhibition design in the informational and communicative space of modern society. Hermeneutical and phenomenological methods became the leading examples of the exhibition design. The scientific novelty of the work consists of thorough research of the concept of ―exhibition design" and clarification of its role and functions in modern society. The examples presented show that the exhibition exposition visualizes and demonstrates the economic and cultural achievements of one or more countries. Conclusions. The implementation of the interdisciplinary approach to the design of the exhibition gives the opportunity to transmit information at several levels. Exhibition design is a synthesis of all kinds of design architectural, environmental, industrial, landscape, graphic. Thanks to the design, the exhibition integrates into the design of interiors and the architecture of the environment, and it becomes a way of promoting consumer goods and artistic works. [ABSTRACT FROM AUTHOR]

El artículo discute un proyecto de investigación sobre patrimonio industrial en la provincia de Buenos Aires, con un enfoque en los cambios en el sector económico e industrial de la ciudad de Tres Arroyos. El artículo también se centra en los valores del patrimonio arquitectónico y ambiental y la preservación de estos sitios históricos.

Efficient task and workflow scheduling are very crucial for increasing performance, resource utilization, customer satisfaction, and return of investment for cloud service providers. Based on the number of clouds that the scheduling schemes can support, they can be classified as single-cloud and inter-cloud scheduling schemes. This paper presents a comprehensive survey and an overview of the inter-cloud scheduling schemes aimed to allocate user-submitted tasks and workflows to the appropriate virtual machines on multiple clouds regarding various objectives and factors. It classifies the scheduling schemes designed for a variety of inter-cloud environments and describes their architecture, key features, and advantages. Also, the inter-cloud scheduling approaches are compared and their various features are highlighted. Finally, the concluding remarks and open research challenges in the multi-cloud scheduling context are illuminated. [ABSTRACT FROM AUTHOR]

A novel Gibbs Markov random field for spatial data on Cartesian grids based on the modified planar rotator (MPR) model of statistical physics has been recently introduced for efficient and automatic interpolation of big data sets, such as satellite and radar images. The MPR model does not rely on Gaussian assumptions. Spatial correlations are captured via nearest-neighbor interactions between transformed variables. This allows vectorization of the model which, along with an efficient hybrid Monte Carlo algorithm, leads to fast execution times that scale approximately linearly with system size. The present study takes advantage of the short-range nature of the interactions between the MPR variables to parallelize the algorithm on graphics processing units (GPUs) in the Compute Unified Device Architecture programming environment. It is shown that, for the processors employed, the GPU implementation can lead to impressive computational speedups, up to almost 500 times on large grids, compared to single-processor calculations. Consequently, massive data sets comprising millions of data points can be automatically processed in less than one second on an ordinary GPU. [ABSTRACT FROM AUTHOR]

A critical consideration when remotely sensing forest structure is how data resolution impacts signal interpretation. Grain size and spacing between signals affect the discrimination and convolution of canopy components whose spatial distribution results from micro- to macro-scale ecological processes. Remote sensing provides methods to assess scaling patterns of canopy measurements which are expected to vary with tree architecture and the physical environment. For the complex, broad-leaved moist forests of western Belize, standard canopy metrics, i.e. mean height, maximum height, rugosity, vertical diversity, and openness, obtained from airborne laser scanning were highly correlated at scales between 10 m and 100 m and autocorrelation patterns were similar for grain sizes from 10 m to 250 m across a range of lag distances to >1000 m. However, scaling behaviours were metric dependent. Values for mean height and canopy openness were stable, maximum height and rugosity increased, and vertical diversity exhibited a concave, parabolic response as grain size coarsened from 10 m to 1000 m. Because the differences may have implications for ecosystem classification and biophysical modelling, researchers need to quantify these patterns for different forested systems. [ABSTRACT FROM AUTHOR]

• We propose a novel deep neural network with streamlined architecture and tensor decomposition for pose estimation with improved processing time. • We extend our model with Sparse Optical Flow and Kalman Filters for motion tracking. • We create an architecture for multi-user applications, where is possible to create simultaneous collaborative experiences. The state of the art has outstanding results for 2D multi-person pose estimation using multi-stage Deep Neural Networks in images with high accuracy. However, the use of these models on real-time applications may be impractical not just because they are computationally intensive, but also because they suffer from flicking, from the inability for capturing temporal correlations among video frames, as well as from image degradation. To tackle these problems, we expand the use of pose estimation to motion capture in interactive applications. To do so, we propose a novel deep neural network with streamlined architecture and tensor decomposition for pose estimation with improved processing time, named TensorPose. We introduce an architecture for markerless motion capture using Convolutional Neural Networks combined with sparse optical flow and Kalman Filters. We also apply this architecture in a multi-user environment, based on the Holojam framework, where it is possible to create simultaneous collaborative experiences. [ABSTRACT FROM AUTHOR]

• We introduced an adversarial approach to aid domain adaptation in Deep Q Network. • We devised a calibrator loss to reduce domain shift at feature network level. • We evaluated the architecture in the PyDial environment with three different domain. • Our method out-performs the baseline, but is hindered by domain-inherit properties. Domain adaptation using source domain data is preferable in the development of Deep Q Network (DQN) based dialog systems, because of the training cost for additional target domains. However, the inherent domain shift hinders feature-space level generalization, which degrades performance. We introduce Adversarial Calibrator based Transfer learning (ACT) to aid the coherent training of the target domain feature extractor network. In ACT, the feature extractor of the target domain is considered as a generator, which is trained to be matched with a pre-stored latent feature set of the source domain with adversarial training losses. We verified ACT with the PyDial framework, conducting domain adaptation experiment with the following domains: San Francisco Restaurant (SFR), Cambridge Restaurant (CR), and Laptop11 (LAP). The result demonstrates that ACT outperforms β -VAE based adaptation between the pair of distinct domains (SFR-LAP), and even outperforms individual learning between the pair of similar domains (SFR-CR). [ABSTRACT FROM AUTHOR]

The major hydrocarbon reservoirs in the Gulf of Thailand, including the Songkhla Basin, are deposited throughout the syn- and post-rift section (Late Eocene-Recent), with the main reservoirs occurring in the Early Miocene to Middle Miocene section. These reservoirs are predominantly fluvial channels with complex lateral and vertical geometries and distributions particularly as point bars, overbank deposits, and sand- or mud-filled channels. This study characterizes the reservoir architecture and depositional environment of Songkhla Basin from late syn-rift to post-rift, during the Miocene, by integrating the seismic attributes (RMS, similarity, and spectral decomposition), well log interpretations, and well biostratigraphic data. Two distinctive channel characteristics and patterns were interpreted: (A) N-S oriented meandering channel complexes, aligned sub-parallel to the western boundary faults, developed during the late syn-rift (upper Early Miocene), (B) NE-SW oriented long, narrow fluvial channels with tidal and marine influence, developed in the post-rift phase I (Middle Miocene). These channel orientations reflect changes in the basin architecture passing from the late syn-rift stage to the post rift. Syn-rift channel orientation was controlled by topography created by motion on the western boundary fault system, while during the post-rift stage channel orientations were affected by mild inversion on the boundary fault system and thermal subsidence, which resulted in an eastward shift in the basin depocentre towards the flexural margin. • Good imaging of fluvial features using seismic attributes and spectral composition. • Two distinctive channel characteristics developed in late syn-rift to post-rift. • Late syn-rift channels controlled by syn-rift boundary fault zone. • Post-rift channels controlled by post-rift subsidence and inversion uplift. [ABSTRACT FROM AUTHOR]

Paying attention to the quality of the environment and its related concerns are the main attributes of contemporary modern life, especially in rural areas. The realization of this type of quality in rural areas also requires compliance with the architecture of environment quality in rural planning. In this regard, determining priorities and ranking the aspects of this architecture (from the perspective of people and local experts) is important in the process of rural planning. The research is based on two central questions of what is the architecture of environment quality. And which one is the priority of planning? Therefore, the village of Shahriyar, in the Falard of Lordegan (with 2342 inhabitants), was selected to answer the questions and drawing a perspective on the architecture of environmental quality. So far, a number of executive plans in the form of rural planning have been implemented in this village. A total number of 6 workgroups with 36 participants were selected through purposeful sampling. In this research, both qualitative and quantitative methods were used to collect and analyze data and answer the questions. Based on local people and experts, 24 indicators in the architecture of environmental quality in rural planning were identified, in which 11 indicators were related to principles, seven indicators were in the field of framework and, six in the field of process. Indicators of each index were determined and grouped according to the Likert scale from very low to very high. The results showed that principles, processes, and frameworks are ranked first to third, respectively, in the architecture of environment quality in rural planning. [ABSTRACT FROM AUTHOR]

This paper proposes an image prediction system architecture for deep running in enterprise environment. Easily transform into an artificial intelligence platform for an enterprise environment, and allow sufficient deep-running services to be developed and modified even in Java-centric architectures to improve the shortcomings of Java-centric enterprise development because artificial intelligence platforms are concentrated in the pipeline. In addition, based on the proposed environment, we propose a more accurate prediction system in the deep running architecture environment that has been previously learned through image forecasting experiments. Experiments show 95.23% accuracy in the image example provided for deep running to be performed, and the proposed model shows 96.54% accuracy compared to other similar models. [ABSTRACT FROM AUTHOR]

Karanpura field is the western most member of the E-W trending Damodar Valley basin, belonging to Indian Gondwana sedimentation. This paper aims to provide a field-scale depositional model of Permian Barakar Formation from Karanpura field in order to enlarge the knowledge of stratigraphic and facies architecture. The study reviews the findings from extensively available cores. Four major facies were defined, which represented a fluvial depositional environment. Observations from core analyses were integrated with high resolution geophysical log data to understand the stacking pattern and depositional cyclicity of Barakar Formation. The lateral and vertical distributions of the facies associations were highlighted by well correlations, which established major fining upwards depositional cycles in the area. The depositional model has been interpreted on a regional scale. [ABSTRACT FROM AUTHOR]

This paper presents Base Cube One (BCO), an architecture for smart environments that organizes devices and functionality in a location-addressable service-oriented schema so that the complex interplay between sensors, actuators and intermediary computing modules can be organized and set up in a structured and effective manner. We show how this can be used by smart components to adapt their generic behavior in order to control individual smart environments such as smart homes with heterogeneous hard- and software components. Additionally, a common ground between smart components and occupants is addressed by sharing the same spatial organization of smart things within the environment. This acknowledges the fast pace at which smart environments are evolving and our approach aims to provide a solid basis for later iterative refinements as new devices are included or removed, or the inter-connectivity is structurally changed. We will present the new architecture in detail and exemplify it using our Cognitive Service-Robotics Apartment project in the context of which this architecture has been developed. The discussion will touch in particular on the requirements for an architecture to both provide a stable foundation for the smart environment yet offer a plasticity for ongoing iterative refinement and supporting the overall system adaptation to the resulting changes. [ABSTRACT FROM AUTHOR]

An emerging technology of cloud computing has major issue as scheduling the task and resource allocating. To avoid this issue, there are suggestions on different scheduling algorithm and that has its own merits and demerits. The proposed virtual task scheduling in multi cloud environment using three different scheduling algorithms such as equal load balancing (ELB) algorithm, high priority scheduling algorithm and rate based scheduling (RBS) algorithm. These different scheduling algorithms are used based on the number of tasks and number of virtual machine in multi cloud environment architecture. If the number of task is equal to number of virtual machine, ELB scheduling algorithm is used. If the number of tasks is greater than the number of virtual machine, high prioritization scheduling algorithm is used. If the number of tasks are lesser than the number of virtual machines, RBS algorithm is used. By using these three different scheduling algorithms we can improve the makespan, average efficiency of the multi cloud computing. Simulation results have analyzed the overall performance by comparing these three different scheduling algorithms. From these simulation results, proposed virtual task scheduling which increases the makespan and reduces the delay and energy consumption. [ABSTRACT FROM AUTHOR]

This paper proposed an innovative method based on the semantic differential of Kansei Engineering and the correlation analysis of machine learning in the case of small-size samples, which could achieve the evaluation of users' subjective feelings to form factors of modeling language and color schemes in the process of product design. It used grey relational analysis and the entropy method to analyze and study the design of modeling and color of guide signs in a public space, and converted the subjective assessment process of designer and user in art design into numeric operation that quantifies and treats data. This research faced two problems: one was to analyze the form correlation between the modeling and color of designed guide signs and the architecture and environment of a public space where the signs are placed, and the other was to convert the subjective assessment of designed guide signs into objective quantified data. The paper took vertical guide boards in a guide sign system as a research object, analyzed and resolved it according to the primitive type of form factors of modeling language, and converted them into numbered sequences of the form factor type. Then, guide boards using different color schemes were utilized to conduct group tests on users; the uniformity of guide boards and architectural style was evaluated through a semantic differential method of Kansei engineering; the test data was analyzed and treated using the grey relational degree, Pearson correlation coefficient and the entropy method; the user's qualitative assessment on the correlation degree of the modeling form and architectural style of guide boards using different color schemes was converted into quantitative numerical parameters; and finally, we obtained the assessment results of the correlation degree and significance of integrated color and modeling language form factors. Specific to the users' assessment discrepancies on the style design of guide signs using different colors, this paper proposed a color scheme evaluation approach with uniform color space based on the grey correlation degree, used Pearson correlation coefficient to make a numerical analysis on users' subjective assessment, presented a modified entropy method based on standardization, and made a comprehensive assessment on the uniformity of style design in different colors and architectural style. Thus, the numerical analysis results of the uniformity between the guide signs in different color schemes and modeling forms and the architectural style of public spaces were obtained. This research method can provide a new research means and numerical computation method to the study of color and form correlation in product design and style design. Meanwhile, it also provides a theoretical foundation and application method for artistic design by virtue of high-performance computing platforms. [ABSTRACT FROM AUTHOR]

In recent years, the constant-envelope orthogonal frequency-division multiplexing (CE-OFDM) has been considered as a candidate waveform in broadband satellite systems as it has a 0-dB peak-to-average power ratio (PAPR). However, the carrier frequency offset (CFO) estimation scheme for CE-OFDM broadband satellite systems directly affects system performance. In this paper, we analyze the network architecture and the propagation environment of CE-OFDM broadband satellite systems, and we propose a data-aided CFO estimation strategy based on the frequency domain pilot symbols. The Cramer–Rao bound (CRB) of our CFO estimator is given by mathematical analysis, and the effect of the number of pilot symbols on the estimation performance is analyzed. The pilot symbol-based CFO estimator is composed of a phase demodulator and a discrete Fourier transform (DFT) module, and it can obtain a large estimation range under a small pilot overhead. The simulation results show that the CE-OFDM broadband satellite systems can achieve a good bit error rate (BER) performance by using the proposed strategy to estimate and compensate the CFO. [ABSTRACT FROM AUTHOR]

For justification and support of strategic decisions, it is feasible to use intelligent information technologies. For development of intelligent environments for strategic decision-making support on development of Russian energy sector, we propose to use concepts of situational management and semantic modelling. This article considers "Situation polygon" - an intelligent environment for strategic decision-making support in development of Russian energy sector which is based on these concepts and agent-service approach for construction of typical multiagent system. Brief description of these concepts is provided. Main attention is paid to the architecture of this environment shown and its main components. Also, an example of user's interaction with the system is provided with detailed description. This example is based on threat of temperature decrease which is significant for Russian energy sector, especially Siberian region. [ABSTRACT FROM AUTHOR]

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It was, as described by the artist himself, both "art and an exhibition pavilion (for itself), following Mies van der Rohe's Barcelona Pavilion or El Lissitzky's two exhibition rooms."[2] A site-specific work developed to fit within an existing pavilion space, from the outside (and as Graham noted), "Public Space/Two Audiences" appeared to be a fairly traditional exhibition space. We were particularly interested in bringing together papers that reflect on the conceptualization and curation of architecture exhibitions, alongside other kinds of exhibitions in which architecture or architectural (or environmental) thinking may be at stake, from the middle of the twentieth century onwards. [Extracted from the article]

This article discusses the relationship of architecture to its surrounding environment. The objective of the article is i) to reposition the relationship of architecture and its surrounding exterior by expanding the understanding of architectural envelopes, and ii) to systematically define exterior space as design input. The notion of the envelope encompasses a spatial recognition defined by interactions between interior and exterior environments that affects an inhabitant's experience of architectural space. This research is organised in three sections: a) a literature review to systematically examine the terminologies of this research, b) selected case studies that consider exteriority as a design criterion, and c) research through design inquiry to combine a systematic approach with design thinking. The study applies both conceptual and method-oriented approaches to develop an integrated design approach focused on the climatic and atmospheric performances of architectural envelopes. [ABSTRACT FROM AUTHOR]

Drawing a parallelism with cognitive synesthesia, an automatic phenomenon by which certain individuals experience cross pairings of at least two sensory organs, this essay defines the term synesthetic notation as a system of representation by which the rules of two discrete notation systems are voluntary interchanged. An array of students' projects illustrates synesthetic notation as particularly instrumental in the representation of atmospheres. Each project represents one aspect of the environment giving over its experiential condition, privileging instead the dynamic character of the generated artifacts and their transformative capacity in the ability to suggest new alternative realities. [ABSTRACT FROM AUTHOR]

In order to create an atmosphere, architecture and light must interact; they are intimately linked. As architects we consider light as a mysterious substance, about which we are not necessarily experts. This paper presents a pedagogy to teach the construction of such mystery, while understanding the physical and phenomenological mechanisms at play and the literary dimensions they hold. By constructing light installations students learn to design immersive environments that test various theses on projection. [ABSTRACT FROM AUTHOR]

The exhibit 10 Short Films About Fog, which was part of the Data & Matter Exhibition at Palazzo Bembo during the Venice Architecture Biennale in 2018, documents and expands experiments into the relationship between fog, textiles, and air. The project sought to probe whether the otherwise formless phenomena of fog could be explicitly formed, and how it might assume structures and textures. By revealing the characteristics of fog that fascinate us, yet are latent, the short films also transform the phenomena through magnification, thereby amplifying inherent behaviors and qualities. [ABSTRACT FROM AUTHOR]

In this article, the authors conceptualize atmosphere as an affective reality that disrupts stable narratives of memory and history in architecture. Drawing on Canfield Drive—the street where Ferguson Police Officer Darren Wilson killed Michael Brown—the authors used the slipcasting technique to show how architectural commemorative practices can often produce unresolved and unresolvable tensions. Through slipcasting, the authors suggest a commemorative practice of atmospheric impasse: instead of turning to the past as a singular, stable historical referent, people perform commemorative practices that can speak to the past as fractured spaces of perpetual contestation. [ABSTRACT FROM AUTHOR]

In this essay, I consider architect Andrea Branzi's speculative urban-territorial scheme from the mid-1990s called Agronica, in which he explored the possibilities of the postindustrial paradigm. I discuss the theoretical and ontological basis for his rejection of the urban setting of conventional industry and subsequent gravitation toward the extraurban atmosphere of the geo-economic region known as the Third Italy. I also acknowledge an intriguing paradox embedded in the project, in which the socially liberating qualities of the spatial systems he explored were equally associated with the territorial behaviors of advanced capitalism—a duality seemingly at odds with Branzi's historical commitments. [ABSTRACT FROM AUTHOR]

This article is an examination of Philip Johnson's Crystal Cathedral (1980) as an architectural environment intersecting with the televisual entertainment industry. Although the Crystal Cathedral has been read as a reflective glass building that abandoned the mysticism of transparency to assert its object status, using Peter Sloterdijk's theorization of immersion we may also understand the structure as an aqueous atmosphere into which one dips. Johnson's church speaks to the dual desires of being embedded and of breaking free by retaining the possibility of traveling between immersive territories—a key ethical concern for atmospheres in an age of screen culture. [ABSTRACT FROM AUTHOR]

NFV is an emerging key technology that overcomes many challenges facing network service providers, such as reducing the capital and the operating expenses and satisfying the growing demand for mobile services. Integrating NFV with MEC and cloud environments requires an architecture that enables efficient implementations and deployments of NFV entities. Microservices architecture is a promising implementation of service-oriented architecture with recognized advantages in terms of modularity and continuous delivery. This article envisions microservices architecture as the solution of choice for building NFV platforms that are hosted in a dynamic environment ranging from MEC to cloud environments. This article addresses the major challenges and requirements of the microservices architecture to fully-exploit the potential of its adoption in NFV. It also proposes potential solutions that alleviate these issues. The article also discusses the need for agile and modular NFV entities along with MEC to realize various applications. To this end, the article discusses explicitly a novel NFV microservices entities scheduler optimization model. The proposed scheduler aims at minimizing network delays while taking into consideration various functional and non-functional constraints. The evaluation of the simulation results demonstrates that the proposed model minimizes the computational paths' latencies and improves the performance and availability of the NFV service chains. [ABSTRACT FROM AUTHOR]