Context Of Configuration Research Articles

The relation of spatial configuration in residential real estate towards its conduciveness security level

As a part of an area, residential real estate has various spatial configuration patterns, which are part of the elements that form its environment. Depending on the context of certain places, spatial configuration and security reinforcement become a concern regarding the issue of crime prevention, which promotes a safe neighbourhood that avoids the risk of crime. A phenomenon took place where there are several preventive actions were carried out at the basic stage of planning and designing residential real estate, but these efforts later brought various methods and priorities that determine spatial configuration or security reinforcement to serve either as the main reference or adjustment at the initial step. This research dissects the relationship between spatial configuration patterns and security systems applied using the Crime Prevention Through Environmental Design (CPTED) approach to obtain the most optimal solution in preventing crime and reducing crime rates. This research used descriptive analytical methods in a comparative way to derive the final synthesis of three residential real estates in Bintaro Jaya as study objects. The results of this research discovered the most conducive type of residential real estate in terms of its security level. These findings can enrich the development of studies on similar topics and contribute to the consideration of design criteria related to spatial configuration and security reinforcement of residential real estate in anticipating potential crimes.

TAEM 2.0: A Faster Transfer-Aware Effective Loop Mapping for Heterogeneous Resources on CGRA

Coarse-Grained Reconfigurable Architectures (CGRAs) are energy-efficient and processing-flexible platforms to perform parallel computation. CGRAs combine the advantages of flexibility of General-Purpose Processors (GPPs) and energy efficiency of Application-Specific Integrated Circuits (ASICs). During the compilation process, the CGRA compiler needs to convert the high-level language codes into a data flow graph, and then map it onto CGRA to generate instruction flow and configuration context. The instruction mapping schemes of the CGRA compiler have a great impact on the efficiency and energy consumption of CGRAs. Furthermore, the quality of the instruction mapping schemes of the CGRA compiler highly depends on how the compiler maps data dependencies using different CGRA resources. This paper proposes an enhanced transfer-aware loop mapping method, TAEM 2.0, based on state-of-the-art TAEM algorithm 1. Based on a parallel iterative IBBMCX algorithm and comprehensive CGRA resources analysis strategy, this method efficiently processes the complex situations of utilizing all those heterogeneous resources on CGRA and significantly accelerates the compilation process. Experimental results show TAEM 2.0 can accelerate the compilation process by 4.40× while generating the same or better mapping results on CGRA, when compared to the state-of-art mapping technique.

Learning to suppress a location is configuration-dependent.

Where and what we attend is very much determined by what we have encountered in the past. Recent studies have shown that people learn to extract statistical regularities in the environment resulting in attentional suppression of locations that were likely to contain a distractor, effectively reducing the amount of attentional capture. Here, we asked whether this suppression effect due to statistical learning is dependent on the specific configuration within which it was learned.The current study employed the additional singleton paradigm using search arrays that had a configuration consisting of set sizes of either four or 10 items. Each configuration contained its own high probability distractor location. If learning would generalize across set size configurations, both high probability locations would be suppressed equally, regardless of set size. However, if learning to suppress is dependent on the configuration within which it was learned, one would expect only suppression of the high probability location that matched the configuration within which it was learned. The results show the latter, suggesting that implicitly learned suppression is configuration-dependent. Thus, we conclude that the high probability location is learned within the configuration context within which it is presented.

New detrital zircon geochronological results from the Meso-Neoproterozoic sandstones in the southern-eastern Liaoning region, North China craton, and their paleogeographic implications

We present new detrital zircon U–Pb and Hf isotopic dating results from the late Mesoproterozoic to early Neoproterozoic sandstones exposed in the southern-eastern Liaoning Province, eastern North China craton (NCC). The Qiaotou Formation (Fm) in the Benxi and Dalian regions yield similar detrital zircon age patterns characterized by peaks around ∼1750 Ma, ∼1600 Ma, ∼1175 Ma and ∼1100 Ma. The Kangjia Fm in the Benxi region and the Changlingzi Fm in the Dalian region share similar detrital zircon age patterns, which in combination with their similarities in stratigraphic sequences and lithologic associations, suggest that they are correlative rock units. Based on the detrital zircon dating results and U–Pb ages of mafic sills intruding the strata, we suggest that the Qiaotou Fm is younger than ∼1077 Ma and older than ∼948 Ma, and the age of the Kangjia and Changlingzi formations is between ∼1111 Ma and ∼924 Ma. We synthesize the new data with detrital zircon age and Hf isotopic data reported in the region and other Meso-Neoproterozoic basins in the eastern NCC and suggest that Grenville-age (∼1300–1000 Ma) detrital zircons widely discovered in those strata might be transformed from other cratons. The possibility that those non-NCC provenance detrital zircons might be sourced from the Baltica, São Francisco–Congo and Laurentia cratons existed. But the former two solutions that the NCC directly connected to either of those cratons are contradictory to the global paleogeographic reconstruction context of supercontinent Rodinia. The Grenvillian and Sveconorwegian orogenic belts on Laurentia–Baltica conjoined continents are more likely the sediment provenance of non-NCC Grenville-age detrital zircon provenance in the Meso-Neoproterozoic basins in eastern NCC in the configuration context of the possible NCC–NW Laurentia conjugation in Rodinia.

Effect of Varieties of Institutional Systems on Dynamics of Explicitization

We investigated the dynamic process of explicitization of Corporate Social Responsibility (CSR) through environmental disclosure and how this process unfolds in different varieties of institutional systems. We rely on the Varieties of Institutional Systems (VIS), a novel institutional comparative approach proposed by Fainshmidt et al. (2018), which encompasses the configurational context encapsulated by state, financial markets, human capital, social capital, and corporate governance institutions. We used a sample of 97 firms from four countries, Canada, Spain, Brazil and India, ranging from 2011 to 2018, summing up to 776 firm-year observations. We consider that the process of explicitization varies among VIS and is motivated by different institutional characteristics. We show that the explicitization process is weaker in Spain, standing for coordinated markets, while in Canada, which represents liberal markets, is significantly influenced by the extent of shareholder governance. In emerging countries under state-led configurations like India, the explicitization process is not significantly influenced by the institutional context, while Brazilian companies under family-led configurations are influenced by the capital market development and government integrity.

The effect of gate voltage boosting on the power efficiency of multi-context FPGAs

Gate voltage boosting has been routinely used in FPGAs to increase the performance and energy efficiency of pass transistor circuits. The boosting technique is used either alone or in conjunction with level restorers to restore pass transistor outputs to the supply voltage level, which can lead to significant improvement in the power-delay product. Gate voltage boosting is achieved in conventional FPGAs by powering the configuration memory with the boosted voltage and boosted data coming from the configuration memory is directly applied to the gates of the routing multiplexers. In multi-context FPGAs, however, configuration memory data need to pass through the context switches before it can be applied to the routing multiplexers. Passing boosted signals through the context switches can result in significantly higher power consumption, which can be a major concern in multi-context FPGAs. As a result, this work investigates the removal of gate voltage boosting from FPGAs and compares the energy efficiencies of the boosted FPGAs and FPGAs without boosting for multi-context FPGAs. We found that if frequent content switching is required then non-boosted multi-context FPGAs with a larger number of configuration contexts achieve lower power-delay-product compared to boosted multi-context FPGAs. In particular, for single-context FPGAs, boosted FPGAs have 15%–65% lower power-delay product than FPGAs without boosting. Boosted multi-context FPGAs maintain this advantage if the context switching is done infrequently. This advantage, however, reduces if the context switching is done more frequently and, at the same time, boosted FPGAs also become less efficient in terms of power-delay-product as the number of configuration contexts is increased. For ten configuration contexts, FPGAs without boosting can achieve 2%–35% lower power-delay product compared to boosted FPGAs if the context switching is performed every clock cycle and this advantage continues to rise as the number of configuration contexts is increased. Furthermore, FPGAs without boosting also have the advantage of achieving higher logic capacity compared to boosted FPGAs. Under the same power budget, for ten configuration contexts, FPGAs without boosting achieve 1.2–2 times higher logic capacity compared to boosted FPGAs.

Landscape configuration of an Amazonian island-like ecosystem drives population structure and genetic diversity of a habitat-specialist bird

ContextAmazonian white-sand ecosystems (campinas) are open vegetation patches which form a natural island-like system in a matrix of tropical rainforest. Due to a clear distinction from the surrounding matrix, the spatial characteristics of campina patches may affect the genetic diversity and composition of their specialized organisms, such as the small and endemic passerine Elaenia ruficeps.ObjectivesTo estimate the relative contribution of the current extension, configuration and geographical context of campina patches to the patterns of genetic diversity and population structure of E. ruficeps.MethodsWe sampled individuals of E. ruficeps from three landscapes in central Amazonia with contrasting campina spatial distribution, from landscapes with large and connected patches to landscapes with small and isolated patches. We estimated population structure, genetic diversity, and contemporary and historical migration within and among the three landscapes and used landscape metrics as predictor variables. Furthermore, we estimated genetic isolation by distance and resistance within landscapes.ResultsWe identified three genetically distinct populations with asymmetrical gene flow among landscapes and a decreasing migration rate with distance. Within each landscape, we found low differentiation without genetic isolation by distance nor by resistance. In contrast, we found differentiation and spatial correlation between landscapes.ConclusionsTogether with previous studies, the population dynamics of E. ruficeps suggests that both regional context and landscape structure shape the connectivity among populations of campina specialist birds. Also, the spatial distribution of Amazonian landscapes, together with their associated biota, has changed in response to climatic changes in the Late Pleistocene.

Analyzing the sensitivity of multi-objective software architecture refactoring to configuration characteristics

Abstract Context: Software architecture refactoring can be induced by multiple reasons, such as satisfying new functional requirements or improving non-functional properties. Multi-objective optimization approaches have been widely used in the last few years to introduce automation in the refactoring process, and they have revealed their potential especially when quantifiable attributes are targeted. However, the effectiveness of such approaches can be heavily affected by configuration characteristics of the optimization algorithm, such as the composition of solutions. Objective: In this paper, we analyze the behavior of E A S I E R , which is an Evolutionary Approach for Software archItecturE Refactoring, while varying its configuration characteristics, with the objective of studying its potential to find near-optimal solutions under different configurations. Method: In particular, we use two different solution space inspection algorithms (i.e., N S G A − I I and S P E A 2 ) while varying the genome length and the solution composition. Results: We have conducted our experiments on a specific case study modeled in AEmilia ADL, on which we have shown the ability of E A S I E R to identify performance-critical elements in the software architecture where refactoring is worth to be applied. Beside this, from the comparison of multi-objective algorithms, N S G A − I I has revealed to outperform S P E A 2 in most of cases, although the latter one is able to induce more diversity in the proposed solutions. Conclusion: Our results show that the E A S I E R thoroughly automated process for software architecture refactoring allows to identify configuration contexts of the evolutionary algorithm in which multi-objective optimization more effectively finds near-optimal Pareto solutions.

Seven Levels of Detail to structure use cases and interaction mechanism for the development of industrial Virtual Reality applications within the context of planning and configuration of robot-based automation solutions

The term Virtual Reality (VR), is very well known in the consumer goods and entertainment sector. The visual presentation of the VR environment is typically achieved via stereoscopic head-mounted displays (HMD), and the interaction via a 3D position detection of HMD and additional input devices such as controllers for active user input. While the variety of applications in the entertainment industry is constantly growing and the technological possibilities become more extensive, this trend has marginally established itself in the industry. Even though powerful and affordable VR hardware is available, VR applications are often associated more with gaming than professional industrial applications. In addition, only few interaction mechanisms such as 3D viewing, moving, teleporting and rarely direct interaction capabilities are used in the most industrial VR solutions. The reason for this is often a lack of understanding and structure of use cases and the added value that VR applications and interactions create for companies and their customers. This unnecessarily limits the applicability of new VR applications for the industry. For a better structuring of VR use cases and required 3D objects for targeted user interaction, we introduce seven Levels of Detail. Along these, one VR use case setup is created, to provide examples for classical concept planning and a new knowledge-based process based on engineering Best Practices. For each, we derive adequate prototypical implemented demonstrator stations and necessary interaction mechanisms for VR development. To highlight further VR possibilities, we extend the examples by adding a second use case setup for VR planning and virtual commissioning of industrial human-robot collaboration solutions based on body and hand tracking. Hence, the contribution provides a structured compilation of potential and useful industrial VR planning use case setups and for these relevant interaction mechanisms in combination with concretely implemented examples.

Discovering configuration workflows from existing logs using process mining

Variability models are used to build configurators, for guiding users through the configuration process to reach the desired setting that fulfils user requirements. The same variability model can be used to design different configurators employing different techniques. One of the design options that can change in a configurator is the configuration workflow, i.e., the order and sequence in which the different configuration elements are presented to the configuration stakeholders. When developing a configurator, a challenge is to decide the configuration workflow that better suits stakeholders according to previous configurations. For example, when configuring a Linux distribution the configuration process starts by choosing the network or the graphic card and then, other packages concerning a given sequence. In this paper, we present COnfiguration workfLOw proceSS mIning (COLOSSI), a framework that can automatically assist determining the configuration workflow that better fits the configuration logs generated by user activities given a set of logs of previous configurations and a variability model. COLOSSI is based on process discovery, commonly used in the process mining area, with an adaptation to configuration contexts. Derived from the possible complexity of both logs and the discovered processes, often, it is necessary to divide the traces into small ones. This provides an easier configuration workflow to be understood and followed by the user during the configuration process. In this paper, we apply and compare four different techniques for the traces clustering: greedy, backtracking, genetic and hierarchical algorithms. Our proposal is validated in three different scenarios, to show its feasibility, an ERP configuration, a Smart Farming, and a Computer Configuration. Furthermore, we open the door to new applications of process mining techniques in different areas of software product line engineering along with the necessity to apply clustering techniques for the trace preparation in the context of configuration workflows.

Islamic Politics Configuration after New Order: PKB practice in Probolinggo, Indonesia

After the 1998 reformation era, PKB becomes one of the parties that gained a good reputation. Interestingly, unlike NU in the 1940s to 1970s, when it actively took a part in electoral politics by carrying out the agenda of formalizing Islam, PKB sought to synthesize the value of Islam and Indonesia in the context of a pluralistic state and pay attention to secular issues such as political education. In Probolinggo, the issue of political education became one of the post-reform political issues. This paper aims to formulate political education as designed in PKB's political program, as well as the changing of the political Islam articulation after the reformation. To get accurate data and results, a political sociology approach was used to understand political education within the PKB platform, and to measure the extent to which the ideational formulation is capable of being implemented at the practical and local levels in Probolinggo. The data obtained were analyzed in three contexts; the context of social and political configuration in Probolinggo, the context of political transformation in NU, and the context of the articulation change of post-reform political Islam. The results concluded that PKB political education in Probolinggo faced several constraints, both structural and non-structural, while the relevance was to provide contextualization of the reformation at the national level, marking a shift in NU's political paradigm, as well as the transformation of post-New Order political Islam.

Optical Multi-Context Blind Scrubbing for Field Programmable Gate Arrays

This paper presents aproposal of a new optical multi-context blind scrubbing that can not only increase the soft-error tolerance of the configuration memory of field programmable gate arrays (FPGAs) but also support high-speed dynamic reconfiguration suitable for accelerating FPGA operations. The optical multi-context blind scrubbing operation uses a holographic memory as a soft-error free radiation-hardened external memory. It exploits its two-dimensional large-bandwidth optical bus. Optical multi-context blind scrubbing operation was demonstrated with four configuration contexts. The soft-error tolerance of the scrubbing operation was evaluated using a radiation tolerance experiment using two 4-MBq Americium-241 alpha particle sources. Results show the worst case mean time to repair (MTTR) of the scrubbing operation as 560 ns, which can realize sufficient soft-error tolerance in radiation-rich space environments.

Elasticity of tangled magnetic fields

The fundamental difference between incompressible ideal magnetohydrodynamics and the dynamics of a non-conducting fluid is that magnetic fields exert a tension force that opposes their bending; magnetic fields behave like elastic strings threading the fluid. It is natural, therefore, to expect that a magnetic field tangled at small length scales should resist a large-scale shear in an elastic way, much as a ball of tangled elastic strings responds elastically to an impulse. Furthermore, a tangled field should support the propagation of ‘magnetoelastic waves’, the isotropic analogue of Alfvén waves on a straight magnetic field. Here, we study magnetoelasticity in the idealised context of an equilibrium tangled field configuration. In contrast to previous treatments, we explicitly account for intermittency of the Maxwell stress, and show that this intermittency necessarily decreases the frequency of magnetoelastic waves in a stable field configuration. We develop a mean-field formalism to describe magnetoelastic behaviour, retaining leading-order corrections due to the coupling of large- and small-scale motions, and solve the initial-value problem for viscous fluids subjected to a large-scale shear, showing that the development of small-scale motions results in anomalous viscous damping of large-scale waves. Finally, we test these analytic predictions using numerical simulations of standing waves on tangled, linear force-free magnetic-field equilibria.

Performance-driven parallel reconfigurable computing architecture for multi-standard video decoding

Video processing applications often need high computing capacity but have performance and power constraints, especially in portable devices. General purpose processors can no longer meet the requirements. This paper presents a parallel reconfigurable computing architecture consisting of reconfigurable processing units connected by an area-efficient routing. The hierarchical configuration contexts can cut the implementation overhead and the energy dissipation spent on fast reconfiguration. The proposed architecture targets multiple-standard video processing. The design is able to give high performance comparable to the fixed-function ASIC through deep pipelining and a large amount of computing parallelism. The experimental results show the proposed architecture has great performance and practicability.

An Efficient Configuration Scheme of CGRA for Block Ciphers

An Efficient Configuration Scheme based on Configuration Context (ECSCC) is proposed to decrease the size of configuration memory and the time of configuration transmission. The ECSCC is applied to a coarse-grained reconfigurable architecture (CGRA) which is implemented under TSMC 40nm CMOS technology to compare with similar work. The results show that the proposed ECSCC improves the area efficiency by 21.56 X and the energy efficiency by 3.97X.

Learning of association between a context and multiple possible target locations in a contextual cueing paradigm.

Searching for a target is faster in a repeated context compared to a new context, possibly because the learned contextual information guides visual attention to the target location (attentional guidance). Previous studies showed that switching the target location following learning, or having the target appear in one of multiple possible locations during learning, fails to produce search facilitation in repeated contexts. In this study, we re-examined whether the learning of an association between a distractor configuration context and a target is limited to one-to-one context-target associations. Visual search response times were facilitated even when a repeated context was associated with one of four possible target locations, provided the target locations were also shared by other repeated distractor contexts. These results suggest that contextual cueing may involve mechanisms other than attentional guidance by one-to-one context-target associations.

Radiation-hardened configuration context realization for field programmable gate arrays.

In space environments and at nuclear power plants, data can be destroyed by radiation, even data recorded on flash memories. To realize a radiation-hardened configuration context for field programmable gate arrays (FPGAs) under such radiation environments, this paper presents a proposal of a method to increase the radiation tolerance of configuration contexts used for FPGAs by introducing a holographic memory technology and a new FPGA architecture. When reading a configuration context from holographic memory, the context robustness depends on the number of bright bits on the configuration context. Our proposed method exploits that holographic memory property and uses a new FPGA architecture to fit the property to increase the radiation tolerance of configuration contexts from holographic memory. This paper presents simulation results and an experimental demonstration result.

Metal–nitrogen coordination moieties in carbon for effective electrocatalytic reduction of oxygen

Oxygen reduction reaction is a critical process at the cathode of proton-exchange membrane fuel cells and metal–air batteries. Carbon-based single metal atom nanocomposites have emerged as effective alternatives to state-of-the-art platinum catalysts, in which the electrocatalytic activity is attributed largely to the formation of metal–nitrogen coordination moieties (MNx) within the carbon matrix. In this review, we summarize recent progress in the studies of metal and nitrogen codoped carbon as single-atom catalysts toward oxygen reduction reaction within the context of the atomic configuration of the MNx active sites and topologic characteristics of the carbon skeletons and include a perspective of the design and engineering of the nanocomposites for further enhancement of the electrocatalytic activity.

Development of Elementary School Teacher's Professional Identity Scale: Validity and Reliability Studies of the Context of Constructing/Configuration of Professional Identity

Sınıf öğretmeni mesleki kimlik yapısı, öğretmenin bireysel ve sosyal öğeleri ile bunu yeniden inşasını sağlayan mesleki değerleri, inançları, duygularının karşılıklı etkileşimi sonucu oluşmaktadır. Sınıf öğretmenlerinin profesyonelleşme sürecinde mesleği içselleştirmesi ve temsil etmesi ile mesleki kimliğin yapılandırılması temel oluşturmaktadır. Bu çalışmanın amacı Sınıf öğretmenlerinin mesleki kimliklerinin oluşum/yapılandırma bağlamlarında bulunan karakteristik yapıları belirlemede kullanabilecek geçerli ve güvenilir bir ölçme aracı geliştirmektir. Sınıf öğretmeninin mesleki kimliğinin oluşum/yapılandırma bağlamını belirlemeye yönelik geliştirilen ölçeğin geçerlik ve güvenirlik çalışmalarında Çanakkale ilinde (merkez ve ilçeler dahil) görev yapan 381 sınıf öğretmenine uygulanarak ölçeğin açımlayıcı faktör analizi (AFA) yapılmıştır. Ölçekte yer alan maddelerin faktör yükleri. 331 ile. 822 arasında değişmektedir. AFA’dan elde edilen veriler ile, ölçeğin beş faktörlü yapıda olduğu ve bu beş faktörün toplam varyansın % 42. 332’sini açıkladığı görülmüştür. Ölçeğin bütünü için hesaplanan Cronbach Alpha güvenirlik katsayısı 0.64’dir. Ölçeğin doğrulayıcı faktör analizi (DFA) analizleri Çanakkale ilinde (merkez ve ilçeler dahil) görev yapan 447 sınıf öğretmenine uygulanarak yapılmıştır. Yapılan DFA sonucunda ki-kare uyum indeksi değerinin serbestlik derecesine oranının (x2/sd =3,41) olduğu görülmektedir. Bu değerin 5’den küçük olması modelin kabul edilebilir olduğunu göstermektedir. Yapılan DFA da ulaşılan değerler (RMSEA= 0.074) dikkate alındığında modelin iyi uyum verdiği söylenebilir. Modelde GFI=.85, AGFI=.82 CFI= .87 ve NFI= .85 olması uyum iyiliği değerlerinin kabul edilebilir değer aralığında olduğu sonucuna ulaşılmıştır. Sınıf öğretmeninin mesleki kimliğinin oluşum/yapılandırma bağlam ölçeği (sömkoybö) beş faktörlü, 5’li likert olarak derecelendirilmiş 27 maddelik olup geçerliği ve güvenirliği test edilmiştir.

The Sorrows of Modern Subjectivity: Capital, Infinity Disease, and Werther's Hysterical Neurois

In this article I analyze Werther, the protagonist of Johann Wolfgang von Goethe’s novel, The Sorrows of Young Werther . I argue that Werther and his sorrows must be understood within the context of the unique configuration of alienation(s) present in modern societies, characterized by the sui generis combination of capital, egoism and anomie, and asceticism. Further, I argue the sociologically alienating conditions of modern societies create neurotic subjects of repression who lack compensatory symbols of moral worth, which drives them to pursue equivalent signification via fantasy. Finally, I argue that Werther represents an extreme case of hysterical neurosis emanating from the configuration of alienation(s) in modern societies, and that his suicide is best interpreted as a magical, sacrificial act whereby he transfixes his hysterical fantasy in fantasy, allowing him to fantasmatically expropriate symbolic compensation in perpetuity. I end the paper with a brief discussion of what might be done today about the problems posed by the course of the analysis.