Dynamical alignment: a principle for adaptive neural computation

Cross-domain policy adaptation with dynamics alignment

Global Development, Converging Divergence and Development Studies: A Rejoinder

Modeling the dynamic alignment of business and information systems via the lens of human-centered architecture evolution

Introduction. The spatial structure of the landscapes of the North Caucasus has been fairly well studied to date, which cannot be said about the temporal structure. The climatic changes noted in the territory of the North Caucasus are undoubtedly reflected in the temporal structure of landscapes, which determines the relevance of this study, the purpose of which is to identify common features and characteristic features of the seasonal and year-to-year dynamics of the mountain landscapes of the North Caucasus. Materials and methods. To analyze the seasonal and year-to-year dynamics of the mountain landscapes of the North Caucasus, methodological approaches developed by L.N. Beruchashvili and V.V. Bratkov and tested by him for various territories. The analysis of the seasonal and yearly variability dynamics of the mountain landscapes of the North Caucasus was carried out on the example of mountain-hollow (Shatoy) and mountain-valley (Ahty) landscapes. In the Excel spreadsheet, the material was processed in three gradations: temperature regime, moisture regime and trends in the vertical structure. Processing was carried out using data (average temperature and precipitation) from the Shatoy and Ahty weather stations for the period from 1961 to 2020. On the basis of the results obtained, the seasonal and yearly variability dynamics of the mountain landscapes of the North Caucasus was derived in percentage terms. Results. The occurrence and correlation of groups of states over time periods, reflecting the conditions of heat and moisture supply, vary quite significantly, to which different groups of intralandscape vegetation react differently. However, in general, the temporal structure of the mountain-basin and mountain-valley landscapes of the North Caucasus is stable, and modern climate changes do not lead to the emergence of new states that are not typical for the analyzed landscapes. Discussion. The latest studies of the seasonal and temporal dynamics of the landscapes of the North Caucasus and its individual regions end in 2015. We continued this direction, because in our opinion, it is relevant and promising. Our study confirms the conclusions of the authors of previous years that, despite climatic changes, the temporal structure of mountain landscapes is stable. Conclusion. In the temporal structure of the mountain landscapes of the North Caucasus, the main share belongs to humid and semi-humid states in summer and nival in winter. The ratios of groups of states over time intervals within mountain landscapes change quite significantly. As a result, the conditions for the growth of different groups of vegetation change. So, with an increase in the proportion of cryothermal conditions, as it was in 1971-1975 conditions become less favorable for the growth of woody vegetation, but more favorable for the development of grassy vegetation of the steppe type. With an increase in summer humidity, which is manifested by an increase in the proportion of the corresponding states, and a simultaneous softening of winter conditions, during which the proportion of nival states increases and a decrease in cryothermal states, as was the case in 1996–2000, the temporal structure becomes similar to forest landscapes. Resume. An analysis of the temporal structure of the mountain landscapes of the North Caucasus showed that it is characterized by high stability. Despite the noted climatic changes, there are no prerequisites for changing the temporal and, as a result, the landscape structure of the mountain landscapes of the North Caucasus. Suggestions for practical application and direction for future research. The results of the study can be useful in agriculture to identify the relationship between certain conditions and crop yields and forecasting natural hazards (droughts, frosts, etc.).

This paper designs a polarization imaging electronics system based on the Sony IMX250MZR polarization image sensor and FPGA architecture, focusing on resolving detector readout configuration and multi-channel LVDS dynamic phase alignment issues. In the FPGA control logic design, the detector readout configuration process is clarified, and a multi-channel LVDS adjustment method based on dynamic phase alignment is optimized, achieving steady-state transmission of multi-channel data through adaptive timing compensation. A high-speed DDR2-based data caching architecture is established, and efficient interaction with peripheral devices is accomplished via the Camera Link protocol. Signal-to-noise ratio (SNR) is evaluated based on a SNR model, as well as its nonlinearity errors, enabling full dynamic range analysis of system performance in laboratory. The results indicate that the system’s SNR and linearity performance reach the level of Sony industrial cameras equipped with the same detector. The study further confirms the effectiveness of the detector readout configuration and multi-channel LVDS dynamic compensation, providing a scalable hardware architecture and quantitative evaluation framework for electronic design in such polarimetric imaging systems.

This book opens the “black box” of software sourcing by explaining how dynamic software alignment is established and how it impacts business performance outcomes. By investigating how software-sourcing modes are related to value generation in the post-implementation phase, it shows researchers and managers the impact logic of on-demand, on-premises, and in-house software on dynamic fit and process-level performance outcomes in a client organization. It describes dynamic IT alignment as the key to success in a fast-moving digital world with software-as-a-service on the rise and highlights the fact that today companies can choose between developing software in-house (make) or sourcing packaged systems in an on-premises (buy) or an on-demand (lease) mode. This book is the first to explicitly compare these sourcing arrangements with each other in terms of alignment and business performance.

The CPAR language consists of a set of extensions to the C language, designed to support parallel programming on distributed-memory multiprocessors, in particular, irregular and adaptive computations which are hard to do well in languages such as Fortran-90 or High Performance Fortran (HPF). CPAR provides data accesses over a global name space using concepts of communication functions and object streams. These constructs allow programmers to specify interprocessor data transfer between arrays or pointer-based data structures without getting involved with the split phases of send and receive of a communication. Our experience of using CPAR to program an N-body simulation problem is briefly described. >

Ecosystem services at risk: integrating spatiotemporal dynamics of supply and demand to promote long-term provision

Bridging the gap between ratings and true user opinions with dynamic review alignment for personalized recommendation.

Cross-view video generation from exocentric (third-person) to egocentric (first-person) perspectives poses a challenging task, due to the significant viewpoint gap and limited overlap between these two views. Previous methods exhibit limitations in capturing long-range temporal context and overlook egocentric semantic priors, leading to degraded performance in cross-view synthesis. To address these challenges, we propose a cue-free video-based approach termed cascaded Dynamic memory Refinement and Semantic Alignment (DRSA), which integrates temporal knowledge over extended periods and learns egocentric semantic information to generate videos. The Dynamic Memory Refinement (DMR) exploits long horizon temporal dynamics to learn salient information that compensates for the limited overlap between views. Specifically, we devise a dynamic memory that serves as a knowledge repository, and utilize a sliding window to locate the corresponding long-term temporal information, which is subsequently processed with adaptive weighting and cross-attention transformer to refine feature representations. Furthermore, aware of the considerable viewpoint divergence that hinder semantic learning of target view, we propose Viewpoint-aware Semantic Alignment (VSA) with dual encoder-decoder learning and semantic alignment, which transfer egocentric semantic details from the egocentric synthesis pipeline to the exocentric synthesis pipeline. In particular, the VSA module narrows the semantic gap between views, further promoting long-range temporal modeling in DMR under alignment constraints. By extending this into a cascaded fashion, the Cascaded Alignment and Refinement (CAR) progressively aligns semantic features and performs feature refinement to facilitate viewpoint learning at different levels of granularity. To overcome the limitations of existing databases known for their limited static scenes and scarcity of interacting objects, we create a new dataset with dynamic exocentric scenes and rich interacting objects to further promote the task. Thorough experimental analysis reveals that our method surpasses current state-of-the-art techniques in terms of both quantitative metrics and qualitative evaluations.

In fire-prone areas, like the Mediterranean, land abandonment and forestation may interact with fire to alter landscape properties and eventually fire hazard and occurrence. However, the spatial interactions among the two processes (land-use/land cover change [LULC] and fire) are poorly known. Here, we analysed the relative effect of LULC change and fire on the landscape structure of an area of Central Spain frequently affected by fire. A series of Landsat MSS images from 1975 to 1990 was analysed to quantify annual changes in LULC, map fire perimeters and evaluate the changes in landscape properties. The temporal dynamics were analysed by annually computing the fraction occupied by each LULC type and landscape structural properties (number, size, shape and arrangement of patches) that might play a role in fire propagation. All of these were calculated separately for the unburned or the burned areas during the study period, as well as for the entire area. At the whole landscape level, or in the unburned area, LULC changes were small, yet the two more flammable LULC types tended to increase, and the landscape tended to become more homogeneous. In the burned area, the area covered by pine woodlands tended to decrease, and that covered by shrublands to increase. Burned areas turned into shrublands only five years after fire. Landscape indices indicative of reduced fragmentation were also found. Both LULC change and fire altered landscape patterns in the whole area to create a less fragmented and more contiguous landscape than in 1975. The changes induced in the whole landscape by fire, in spite of the overall low disturbance rate, were sufficient to closely determine the changes in landscape composition (LULC types) and patterns.

The integration of digital media art into the public art design of the smart city can enhance people’s participation and sense of identity in the art design of public space and maximize the attractiveness and cultural connotation of the city itself. Based on this, this paper builds a fusion technology framework mainly based on digital projection technology and digital interaction technology, proposes an interactive projection technology integrating digital projection and Kinect, and combines the dynamic scene image splicing and alignment fusion technology to realize the interaction between the user and the digital scene. In the case analysis of Qianjiang New City, the number of visitors reached 31.55 million in 2022. The evaluation score of landscape facilities in the public evaluation of architectural landscape is under 3.5. The overall evaluation grade is only “general,” and the evaluation mean value of the degree of intelligence of landscape facilities is only 3.089. The comprehensive evaluation satisfaction of the digital landscape includes multimedia landscape, architectural landscape, and landscape facilities, and the average value of the evaluation of the degree of intelligence of the landscape facilities is only 3.089. The satisfaction value of the multimedia landscape, landscape of buildings and structures, and water landscape in the evaluation of satisfaction is 4.36, 4.159, and 4.027, respectively, which reaches the level of “good” satisfaction, while the satisfaction value of landscape facilities is 3.479, which is less than 3.5. The satisfaction level only reaches the level of “general.” The satisfaction value of landscape facilities is 3.479, which is less than 3.5, and the satisfaction level is only “fair.”

While reconfigurable adaptive computing has many proven advantages over conventional processors, in practice, it is often limited to niche applications. This situation, which we aim to resolve with our research, is often linked to the lack of programming languages for adaptive computers that are familiar to software developers. We present a compile flow capable of translating general-purpose C programs to hybrid hardware/software applications for execution on an adaptive computer and give an overview of the required advances in compiler technology as well as in computer architecture and operating system design.

This paper develops Lyapunov and converse Lyapunov theorems for stochastic semistable nonlinear dynamical systems. Semistability is the property whereby the solutions of a stochastic dynamical system almost surely converge to (not necessarily isolated) Lyapunov stable in probability equilibrium points determined by the system initial conditions. Specifically, we provide necessary and sufficient Lyapunov conditions for stochastic semistability and show that stochastic semistability implies the existence of a continuous Lyapunov function whose infinitesimal generator decreases along the dynamical system trajectories and is such that the Lyapunov function satisfies inequalities involving the average distance to the set of equilibria.

The current work proposes a new and constructive proof for the Caratheodory&#x02BC s theorem on existence and uniqueness of trajectories of dynamical systems. The key concern is the numerical uncertainty, i.e., the discrepancy between mathematical proofs, algorithms, and their implementations, which may affect the correct functioning of a control system. Due to growing demands on security and compliance with specifications, correctness of the control system functioning is becoming ever more important. Since in both dynamical systems and many control design approaches, one of the central notions is the system trajectory, it is important to address existence and uniqueness of system trajectories in a way which incorporates numerical uncertainty. Constructive analysis is a particular approach to formalizing numerical uncertainty and is used as the basis of the current work. The major difficulties of guaranteeing existence and uniqueness of system trajectories arise in the case of systems and controllers which possess discontinuities in time, since classical solutions to initial value problems do not exist. This issue is addressed in Caratheodory&#x02BC s theorem. A particular constructive variant of the theorem is proven which covers a large class of problems found in practice.