Static Element Research Articles

Component Analysis of DevOps and DevSecOps

This paper is analyzed of the characteristics of development operations and development security operations of the software and product, and the use analysis tools from a software code perspective. Also, it is emphasized the importance of human factors and the need to strengthen them, when considering security design rules. In this paper, we consider a secure process for managing change, focusing on fast and accurate decision-making in terms of procedural factors, when considering development security operations. In addition, the paper discussed the need for maturity model analysis in relation to the development security operating characteristics, and analyzed the meaning of the analysis elements through detailed procedures for the strength and integration elements of the dynamic and static elements accordingly. The paper also analyzed factors such as scanning activity and code analysis for threat modeling and compliance and control.

Knowledge-based dynamic cluster model for healthcare management using a convolutional neural network

Due to recent growing interest, the importance of preventive and efficient healthcare using big data scattered throughout various IoT devices is being emphasized in healthcare, as well in the IT field. The analysis of information in healthcare is mainly prediction using a user’s basic information and static data from a knowledge base. In this study, a knowledge-based dynamic cluster model using a convolutional neural network (CNN) is suggested for healthcare recommendations. The suggested method carries out a process to extend static data and a previous knowledge base from an ontology-based ambient-context knowledge base beyond knowledge-based healthcare management, which was the focus of previous study. It is possible to acquire and expand a large amount of high-quality information by reproducing inferred knowledge using a CNN, which is a deep-learning algorithm. A dynamic cluster model is developed, and the accuracy of the predictions is improved in order to enable recommendations on healthcare according to a user environment that changes over time and based on environmental factors as dynamic elements, rather than static elements. Also, the accuracy of the predictions is verified through a performance evaluation between the suggested method and the previous method to validate effectiveness, and an approximate 13% performance improvement was confirmed. Currently, the acquisition of knowledge from unstructured data is in its early stages. It is expected that symbolic knowledge-acquisition technology from unstructured information that is produced and that changes in real time, and the dynamic cluster model method suggested in this study, will become the core technologies that promote the development of healthcare management technology.

Highly Digital Second-Order $\Delta\Sigma$ VCO ADC

A continuous-time second-order $\Delta \Sigma $ analog-to-digital converter (ADC) is presented in this paper. The proposed ADC is based on a novel architecture and uses current starved ring oscillators as integrators to achieve the second-order noise shaping. The proposed architecture does not require excess loop delay compensation or nonlinearity calibration. Static element mismatch in the multi-bit current digital-to-analog converter is high-pass shaped by intrinsic data-weighted averaging. Detailed analysis and insights on the various trade-offs involved in the design of the proposed ADC are presented in this paper. A prototype ADC is implemented in 65-nm CMOS and achieves 64.2-dB SNDR at a bandwidth of 2.5 MHz and a Schreier FoM of 158.2 dB. The ADC operates at 205 MHz and consumes 1 mW of power. The measured power supply rejection ratio is 56.2 dB.

The Use of the Twitter in Public Benefit Organisations in Poland: How Communicative Function of Tweets Translates Into Audience Reaction?

AbstractScientific research into the use of social media in the activities of nonprofit organisations has focused mainly on the scale of their application and on the analysis of the static elements of the social media profile. The research presented in this article concerns the specific form of nonprofit organisation, namely public benefit organisations (PBOs). The aim of the article is, therefore, to identify the leading function of the content published on Twitter and to determine how this function translates into public engagement. During the research process, the content analysis method was used (a sample of 981 tweets was selected for this purpose). The results indicate that Twitter usage by Polish PBOs is of minor importance. Generally, with the exception of the largest organisations, the Twitter profile was primarily focused on delivering information only and, hence, was used in one-way communication.

Nodes and Networks: The Generative Role of Cultural Heritage for Urban Revival in Kikinda

Using heritage as a cultural artifact in city development is not new, but little has been explored about how urban heritage can be utilized as new generative value and a new planning instrument for the revival of cities. The purpose of this paper is to show the creative and the generative use of urban heritage, both for the extension of cultural and tourist offer of the city and for the improvement of the quality of life in physical, social and economic terms for the community. The case study method was used for the adaptive reuse of projects for heritage buildings and urban revival in Kikinda. We argue that urban heritage has to be used, bearing in mind its spatial, economic and social sustainability aspects, and become a generator of urban revival. We go beyond recognition of the value of heritage as a cultural artifact that should solely be preserved and used as a static element in urban development, and view it more as a dynamic asset for city revival processes. We found that for the heritage nodes to be utilized as the new generative value for the revival of cities, they have to be perceived from the network perspective, thus influencing the urban environment in a sustainable way.

A Unified Multiple-Target Positioning Framework for Intelligent Connected Vehicles.

Future intelligent transport systems depend on the accurate positioning of multiple targets in the road scene, including vehicles and all other moving or static elements. The existing self-positioning capability of individual vehicles remains insufficient. Also, bottlenecks in developing on-board perception systems stymie further improvements in the precision and integrity of positioning targets. Vehicle-to-everything (V2X) communication, which is fast becoming a standard component of intelligent and connected vehicles, renders new sources of information such as dynamically updated high-definition (HD) maps accessible. In this paper, we propose a unified theoretical framework for multiple-target positioning by fusing multi-source heterogeneous information from the on-board sensors and V2X technology of vehicles. Numerical and theoretical studies are conducted to evaluate the performance of the framework proposed. With a low-cost global navigation satellite system (GNSS) coupled with an initial navigation system (INS), on-board sensors, and a normally equipped HD map, the precision of multiple-target positioning attained can meet the requirements of high-level automated vehicles. Meanwhile, the integrity of target sensing is significantly improved by the sharing of sensor information and exploitation of map data. Furthermore, our framework is more adaptable to traffic scenarios when compared with state-of-the-art techniques.

Liquid brains, solid brains.

Cognitive networks have evolved a broad range of solutions to the problem of gathering, storing and responding to information. Some of these networks are describable as static sets of neurons linked in an adaptive web of connections. These are 'solid' networks, with a well-defined and physically persistent architecture. Other systems are formed by sets of agents that exchange, store and process information but without persistent connections or move relative to each other in physical space. We refer to these networks that lack stable connections and static elements as 'liquid' brains, a category that includes ant and termite colonies, immune systems and some microbiomes and slime moulds. What are the key differences between solid and liquid brains, particularly in their cognitive potential, ability to solve particular problems and environments, and information-processing strategies? To answer this question requires a new, integrative framework. This article is part of the theme issue 'Liquid brains, solid brains: How distributed cognitive architectures process information'.

Major breakthrough of Well Gaotan 1 and exploration prospects of lower assemblage in southern margin of Junggar Basin, NW China

Abstract Well Gaotan 1 was tested a high yield oil and gas flow of more than 1 000 m3 a day in the Cretaceous Qingshuihe Formation, marking a major breakthrough in the lower assemblage of the southern margin of Junggar Basin. The lower assemblage in the southern margin of the Junggar Basin has favorable geological conditions for forming large Petroleum fields, including: (1) Multiple sets of source rocks, of which the Jurassic and Permian are the main source rocks, with a large source kitchen. (2) Multiple sets of effective reservoirs, namely Cretaceous Qingshuihe Formation, Jurassic Toutunhe Formation and the Khalza Formation etc. (3) Regional thick mudstone caprock of Cretaceous Tugulu Group, generally with abnormally high pressure and good sealing ability. (4) Giant structural traps and litho-stratigraphic traps are developed. The northern slope also has the conditions for large-scale litho-stratigraphic traps. (5) Static elements such as source rocks, reservoirs and caprocks are well matched, and the dynamic evolution is suitable for large oil and gas accumulation. The lower assemblage of the southern margin of the Junggar Basin has three favorable exploration directions, the Sikeshu Sag in the west part, the large structures in the middle and eastern part, and the northern slope.

Dynamic profiles using sentiment analysis and twitter data for voting advice applications

Nowadays, political campaigns combine traditional media channels with social media platforms, opening new and promising possibilities for parties and candidates looking for better political strategies and visibility. Voting advice applications (VAAs) recommend parties and candidates that are close to a citizen's political preferences and require the constrution of candidate and party profiles. Profile generation is an essential task in the development of VAAs and requires two steps: an unbiased design of political questionnaires and the collection of all candidates' answers. This paper presents an extension of a VAA, implemented in within the project Participa Inteligente (PI), a social-network platform designed for the 2017 Ecuadorian national elections. This work concentrates on the implementation of dynamic candidate profiling using Twitter data and sentiment analysis as an additional element to the static profile generation of VAAs. The implementation of a dynamic element for VAAs could help mitigate the effect of biased recommendations given during the construction of candidate and party profiles. At the end of this work, the dynamic profile is compared with the classic static elements developed within the PI project. The results show the level of similarities and differences between each of the elements in profile generation. This work provides an ideal basis for future research in the area of VAAs and their interfaces. Additionally, it opens up a broader spectrum of applications for policymakers including decision-making and collaborative working environments toward e-empowerment.

Dynamic and static elements of a consumer’s digital portrait and methods of their studying

The authors have undertaken a study of a consumer’s digital portrait, interconnections between the consumer’s digital portrait and the consumer’s portrait have been determined. They have defined such concepts as ‘digital consumer’ and the ‘digital portrait of a consumer’. They have also formed a system of characteristics building up the consumer’s digital portrait; have determined four groups of characteristics: social-demographic, behavioral, psychographic and geographical characteristics. Each group of characteristics has been divided into static and dynamic elements. The role of dynamic elements of a digital consumer’s characteristics and also methods of their research have been defined. The authors have determined the system of methods for exploring a consumer’s digital portrait; the concepts of open and hidden methods of studying consumers’ characteristics have been specified. The importance of using search tools and social networks for studying a consumer’s digital portrait has been notified and high priority of psychographic characteristics has been marked.

Modeling and simulation of microreactor with static and perforated elements for biodiesel synthesis

This study compares the performance between micromixers with static elements (MO) and micromixers with perforated elements (MPO) in order to develop microscale mixing mechanisms and to improve the performance of chemical reactions, such as the biodiesel production. A computational study was carried out to analyze the performance of these new micromixers with the mixing of the reagents sunflower oil and ethanol, and also the synthesis of biodiesel from these fluids. The results were expressed in terms of the mixing index (degree of mixing of the reactants) and their conversion into biodiesel. High mixing indexes (~ 0.99) were obtained, mainly for MO. In relation to the chemical reaction, the highest value reached was 97% conversion in a residence time of 180 s.

Innovativeness of the Tradition of Religious Architecture

The innovativeness of the tradition of religious architecture - it sounds quite contradictory if we are to consider the accepted definitions of tradition - a sort of permanence or canonicity, and innovation (from the Latin innovatio - renewal) - a process of the introduction of new values or qualities concerning goals or manners of their achievement in the development of some structure. Innovativeness is usually understood as a result of all manners of scientific, technical, technological and other rational actions, which lead to the implementation of change in human life. Tradition is less rational, based on national or group stereotypes, customs or individual principles. Innovativeness in culture, faith or creative activity occurs as a factor based on human ideas, its representations which go beyond the sphere of ratio. Innovativeness occurs primarily as a contradiction of something, for instance said tradition, or - on the basis of said tradition or the capacity of innovation to cooperate with tradition, developing tradition itself, causing its change, development, adaptation to something new, preserving tradition as a form, message or symbol. The tradition of religious architecture is based on the tradition of Liturgy, the principles of faith, revelation. Tradition is strongly justified by the permanence of the phenomenon of eternity, about which man cannot gain knowledge rationally. This is why to fight tradition is to fight eternity, which makes no sense. If eternity is beyond rational categories, then tradition is not exhaustible by these terms. This is why tradition manifests itself through ritual, epos, images. Such manners are characterised by something that is beyond rational, at the same time exerting a strong impact through their syncretism and synergism. The synergy of the images of religious architecture is also very suggestive, evoking a strong influence on the thoughts and imagination of man. Liturgy, the parish, its members, contemplation, meditation, rituals, the architect, artists, the common efforts of the participants of the construction of a temple - that is what is important to the synergy of religious architecture. The temple - is a place of the work of the Holy Spirit, which is not a person, but an action, which is why the temple can more easily be expressed through its activity, the Word, Wisdom, instead of the image and likeness. The perfection of the non-figurative depiction within religious architecture is its skeleton and the abstract shapes occur in the form of images of a symbolic language. A temple is simultaneously a static element, embodied in its structural elements - floor plans, spaces, the external and internal surfaces of walls and ceilings, icons and frescoes, in being filled with liturgical objects and services. Sensing, achieving the theology of man, the icon and the temple through the Divine image and likeness, as well as the work of the Holy Spirit all express a deep innovativeness of the tradition of religious architecture.

Introducing Objective Benchmark-Based Attribution in Private Equity

Private-equity asset owners seeking to reduce downside risk and increase upside probability would logically benefit from indexing prospective asset managers by their skill. However, theoretical deficiencies and a lack of rigorous market calibration prevent the metrics and techniques commonly used in private equity from isolating manager skill. In this article, the authors introduce a new conceptual framework for a repeatable decomposition of private equity returns that disambiguates the quantification of manager skill. Modern proxy benchmarks are a key component of the framework for their definition of systemic returns specific to the target asset. They satisfy the fundamental properties of an index (systematic, transparent, and investable) suggested by Andrew Lo and the CFA Institute’s SAMURAI criteria for a valid benchmark. However, the authors propose that the integrity of the decomposition requires that the benchmark’s similarity (to target) and its stability be systematically derived, measured quantities. The authors discuss these two new properties in conjunction with the technology that enables the construction of modern proxy benchmarks and their active management over time. With systemic returns thus defined, excess returns against the modern proxy benchmark are attributed to dynamic elements under the control of the manager, which the authors define as manager alpha. Systemic returns in excess of a broad/policy benchmark are deemed static elements. Static elements measure the portion of returns attributable to size and sector selection, in which a manager tends to specialize and which are known to the limited partner investor prior to investment. Although both static and dynamic elements contribute active returns to the investment, it is the dynamic elements-alpha-that should merit attention (and high fees) from limited partners.

Point clouds for direct pedestrian pathfinding in urban environments

Pathfinding applications for the citizen in urban environments are usually designed from the perspective of a driver, not being effective for pedestrians. In addition, urban scenes have multiple elements that interfere with pedestrian routes and navigable space. In this paper, a methodology for the direct use of point clouds for pathfinding in urban environments is presented, solving the main limitations for this purpose: (a) the excessive number of points is reduced for transformation into nodes on the final graph, (b) urban static elements acting as permanent obstacles, such as furniture and trees, are delimited and differentiated from dynamic elements such as pedestrians, (c) occlusions on ground elements are corrected to enable a complete graph modelling, and (d) navigable space is delimited from free unobstructed space according to two motor skills (pedestrians without reduced mobility and wheelchairs). The methodology is tested into three different streets sampled as point clouds by mobile laser scanning (MLS) systems: an intersection of several streets with ground composed of sidewalks at different heights; an avenue with wide sidewalks, trees and cars parked on one side; and a street with a single-lane road and narrow sidewalks. By applying Dijkstra pathfinding algorithm to the resulting graphs, the correct viability of the generated routes has been verified based on a visual analysis of the generated routes on the point cloud and on the knowledge of the urban study area. The methodology enables the automatic generation of graphs representing the navigable urban space, on which safe and real routes for different motor skills can be calculated.

Safeguarding sega: transmission, inscription, and appropriation of Chagossian intangible cultural heritage

ABSTRACTThis article explores two related efforts to transmit and inscribe the knowledge and practices of the Chagossian community in the context of forced displacement to Mauritius and Seychelles, and geographical dispersal between Mauritius, Seychelles, and the UK. The first is the Mauritian government’s nomination of Chagossian sega (an Indian Ocean genre of music and dance) to the UNESCO List of Intangible Cultural Heritage in Need of Urgent Safeguarding. The second is an AHRC project entailing a series of heritage transmission workshops with the Chagossian communities in Mauritius and the UK and an open access website hosting instructive cultural heritage materials generated at the workshops. Safeguarding sega offers the possibility of political, social, and financial benefits such as increased legitimacy, strengthened collective identification, and funding for cultural activities. It also risks loss of control over community knowledge and products. We show that efforts to transmit and inscribe do not necessarily ‘freeze cultural change’ into a ‘static element’, not least because there are limits to the extent to which people use a list, an inventory, or a recording as a guide to ‘living’ cultural practice.

Tracking Predictive Gantt Chart for Proactive Rescheduling in Stochastic Resource Constrained Project Scheduling

Proactive-reactive scheduling is important in the situations where the project collaborators need to coordinate their efforts. The coordination is mostly achieved through the combination of the shared baseline schedule and the deviation penalties. In this paper, we present an extension of predictive Gantt chart to the proactive-reactive scheduling needs. It can be used to track the evolution of the relationship between dynamic and static elements through the time. The dynamic elements are evolving probability distributions due to the uncertainty and revealed information. The static elements are time-agreements in the baseline schedule. We demonstrate that in the state-of-the-art proactive-reactive scheduling, the baseline schedule is agnostic to the information received during the project execution. The sources of such inflexibility in the problem model and the scheduling methods are analyzed. The visualization is highlighted as a precursor to developing new methods that proactively change the baseline schedule in accordance with the gained information.

Influence of different wave load schematisation on global ship structural response

ABSTRACTToday, Classification societies cover all the aspects about linear static finite element (FE) analysis through different design guidelines that help structural designers to streamline the design process and make Rule-requested structural verification of the proposed design. Structural modelling aspects are well defined, but for the wave load modelling some questions arise. Wave pressure distribution can be defined using direct wave calculations (e.g. the panel method) or using the Rule formulae definition. This paper presents a benchmark study carried out by the ISSC2018 Committee II-1 Quasi-Static Response. The objective was to investigate and compare alternatives to discretise and implement Rule-defined wave loads from classification societies on global FE models, and its impact on the global structural response. Results from calculations are presented on two ship types. Findings highlight the importance of identifying the lowest level of simplification in order to capture physical phenomena while minimising errors and inaccuracy in direct structural analyses results.

About Contemporary Seismic Analysis of Underground Structures

This paper is devoted to actual problems of seismic analysis of underground structures. Brief classification and overview of corresponding methods of analysis (force-based methods, displacement-based methods, numerical methods of seismic analysis of coupled system “soil – underground structure” and approaches to problems of soil-structure interaction) is presented. Special static finite element method with substructure technique for seismic analysis of underground structures is described. Dynamic soil-structure interaction system can be decomposed into three sub-structures: structure, near-field and far-field soil. The first stage of static finite element method is solving the free field shear stress, acceleration, velocity and displacement, when the moment that the relative displacement of the soil that the underground structure located in reaches the maximum. The second stage is computing of internal forces and parameters of boundary conditions. The third stage is construction of the static finite element model and imposing the loads and constrains computed at the second stage and then making a static analysis.

How to use a Generic Model to Improve Part Quality and Testability

One big challenge in aeronautics is the combination of lightweight structures and a high degree of flight safety. Highly optimized structures and extensive quality assurance within NDT methods is one possibility to address this objective. The needs of NDT in respect of testability are often not considered during the design process of a structure or a part. This can lead to high inspection costs or even the need to redesign the part. The idea of this Generic Model would be to address this issue by highlighting the requirements of NDT allowing part optimization regarding these requirements in the early design process. This article presents the two parts of this Generic Model. The static part will be describing the test situation while the functional part will show the interaction of the static elements. Beginning with a single characteristic comparison, the example will show how to evaluate the testability of a complete part within the various aspects of NDT. An example of design considerations for a carbon fiber-reinforced plastic component is presented to demonstrate the application of the Generic Model. It will be seen how an automated evaluation is possible, and based on this idea a software tool could be developed. Two examples of design considerations for a carbon fiber-reinforced plastic component is presented to demonstrate the application of the Generic Model. The goal of implementing this Generic Model will be to improve part design, reduce iterations in the design process and increase the testability of NDT.

A Finite-Element Simulation Study of Strengthening Reinforced Concrete Beams

In this study, we present a static finite element study of reinforced concrete beam reinforced by steel fibers and by fiber reinforced–polymer composites subjected to a load of 500 kN. Preliminary results in term of simulation using a codeprogram (Abaqus) are presented. The material model was simulated in Abaqus finite element package and is capable of developing the stress-strain curves. The beam was loaded in three-points. The mechanical properties of carbon fiber reinforced polymer (CFRP), steel and the concrete used in our simulation are obtained from the data of the literature. The results obtained in terms of constraints and displacements are discussed. By this work, we contribute to more understanding the comportment of stress and strain law using numerical study. The main goal is to predict what extent a reinforced concrete structure can resist in the elastic mode.