Domain Of Systems Research Articles

An Analysis of the Domain Names Linked to the Important World Events using a Longitudinal Measurement Approach

Since the lack of sufficient security mechanisms, domain system (DNS) has become the main operational infrastructure for cyber intruders to launch cyber-attacks. Therefore, how to discover and block the potential malicious domains and its corresponding IP addresses fast and accurately has become a hot research area as it is one of the most important method in preventing unknown cyber-attacks. In this paper, we proposed an approach to detect malicious domains by analyzing massive mobile web traffic data. We used multiple features to classify, including the textual features and the traffic statistics features of domains and presented three typical classifiers to compare the classifying effect of each. Spark framework is leveraged to speed up the calculation of a large-scale DNS traffic. The efficiency of our system makes us believe the approach can help a lot in the field of network security. The new features are harder to be tampered with and can help determine whether a domain is malicious from a more comprehensive perspective. We evaluate MalPortrait on the passive DNS traffic collected from real-world large ISP networks.

Controllability of a fractional output linear system with constraints

AbstractThe primary objective of this research is to generalize the concept of controllability with constraints to cases where the output function is a Riemann–Liouville fractional derivative of order More precisely, if , we obtain the enlarged controllability of the system state and enlarged controllability of the gradient state of the system is obtained with Moreover, we aim to characterize the optimal control that enables us to guide a linear parabolic system to a fractional final state within the evolution system's domain. We adopt two approaches to solve the aforementioned problem: The first is based on the Lagrangian technique, and the second one employs the subdifferential theory. Subsequently, we develop an algorithm to compute the minimum energy control. Finally, we provide numerical simulations to illustrate the validity of the obtained theoretical results.

Application of T‐shaped engineering skills in complex multidisciplinary projects

AbstractIn this research, we study the application of T‐shaped engineering profile skills in complex multidisciplinary projects. Literature survey revealed a relation between the systems engineers and technical experts; we explore this relation further here. Data collection was through a survey with practicing engineers, technical managers, and academics with industrial experience. Research findings revealed that the ‘systems engineering discipline’ shall be used as a common language between systems engineers and technical experts in projects. We identified a gap between the design and production lifecycle stages. Questionnaire respondents confirmed this gap during validation and mentioned the lack of ‘operational context’ as a challenge in the system development process. There is a clear interest in acquiring T‐shaped skills through training. To achieve this, the technical experts shall use training programs within their organization, by focusing on the ‘systems engineering discipline’ and ‘system's domain & operational context’ proficiencies.

Switching Antiwindup Design on Enlarging the Domain of Attraction for a Supercavitating Vehicle Subject to Actuator Saturation

This paper presents a new switching antiwindup compensation design to maximize the domain of attraction for a supercavitating vehicle subject to actuator saturation. The dive-plane dynamics of the vehicle are considered. By applying the linear differential inclusion expression of saturated feedbacks, conditions under which the compensator locally stabilizes the closed-loop system are then derived. The design of antiwindup gains on maximizing the system's domain of attraction is finally formulated and solved as an iterative optimization problem with linear matrix inequality constraints. Simulations are conducted for systems with magnitude and rate limits to evaluate the effectiveness of the proposed method.

Unearthing Hidden Keys: Why Pracademics Are an Invaluable (If Underutilized) Resource in Policing Research

Within the current economic climate, there has been a steady concern over rising costs associated with the criminal justice system. Indeed, in many countries, policy-makers, practitioners, researchers, and others have been struggling with questions of how to increase efficiency and effectiveness within each of the justice system's domains. In some cases, these struggles have been exacerbated by a dearth of quality research. Policing has hardly been immune from these discussions. In the present article, the authors explore a hidden, frequently untapped resource that we believe may help to increase the production of quality policing research: police pracademics (practitioner-academics). In the pages that follow, we explore at least four key ways in which utilizing pracademics can benefit both police agencies and the larger policing research agenda.

Knowledge and Information in Nutrition Software Design

The intension of this paper is to point out that both Knowledge and Information can be persisted within ordinary database management systems. It is a well-known demand for codifying the knowledge versus of embedding it inside the business logic (the source code). The consequences are that knowledge can be extended, utilization of knowledge can be extended and that the application's evolution can be achieved, almost without programming. To achieve such a goal, database and system designers should distinguish what is information and what is knowledge for the system's domain of application. They should also foresee an abstract knowledge representation that will be able to hold the future knowledge in the domain. Our approach is based on an interesting domain of software technology, the nutrition software design.

Autopoietic Systems in General Phenomenal Domains

Autopoietic Systems in General Phenomenal Domains

Promoting Regional Innovation Systems in a Global Context

Ever since the innovation systems (IS) concept was coined in the late 1980s, it has been accepted as a mechanism of economic and technological development in policy circles. This recognition follows a change in our understanding of the characteristics of the innovation process as a non‐linear process and having a systemic character. This changed understanding is also reflected in the movement in policy focus from science and technology (S&T) policy towards innovation policy. In recent years, the IS approach has been downscaled from the national level (NIS) to the regional level (RIS), a system's level that has gained the interest of policy makers. There are many rationales for this regionalization of innovation policy. However, as this paper points out, there are several challenges to implement an IS policy on the regional level. Based on a case study of a Swedish regional policy programme, this paper highlights (some of) the challenges related to defining the regional system's domain, implementing functional regions and securing sufficient regional knowledge infrastructure. This paper argues that when the IS approach is put into policy practice and downscaled to the regional level, it stands the risk of losing its strength as a tool for coping with the structural problems connected to innovation and globalization. Based on the identified challenges, the paper is concluded with a number of more general policy implications for IS‐based policies with regional intentions.

Discrete thermodynamics of chemical equilibria and classical limit in thermodynamic simulation

AbstractThis article sets forth comprehensive basic concepts of the discrete thermodynamics of chemical equilibrium as balance between internal and external thermodynamic forces. Conditions of chemical equilibrium in the open chemical system are obtained in the form of a logistic map, containing only one new parameter that defines the chemical system's resistance to external impact and its deviation from thermodynamic equilibrium. Solutions to the basic map are bifurcation diagrams that have quite traditional shape but the diagram areas feature specific meanings for chemical systems and constitute the system's domain of states. The article is focused on two such areas: the area of “true” thermodynamic equilibrium and the area of open chemical equilibrium. The border between them represents the classical limit, a transition point between the classical and newly formulated equilibrium conditions. This limit also separates regions of the system ideality, typical for isolated classical systems, and non‐ideality due to the limitations imposed on the open system from outside. Numerical examples illustrating the difference between results of classical and discrete thermodynamic simulation methods are presented. The article offers an analytical formula to find the classical limit, compares analytical results with these obtained by simulation, and shows the classical limit dependence upon the chemical reaction stoichiometry and robustness.

Taming the Beast: Measuring Vision-Related Disability Using the International Classification of Functioning

This article reviews the way in which the complex phenomenon of vision-related disability is captured by an authoritative classification system: the International Classification of Functioning, Disability, and Health. Data from several major national surveys are used to illustrate how the classification system's codes referring to body function and structure, personal activities, social participation, and environmental factors relate to the surveys. Survey items specific to vision-related disability are considered in terms of codes in the International Classification of Functioning to show how the underlying conceptualization of survey questions maps to the classification system's domains. It is suggested that an understanding of the International Classification of Functioning can clarify the purposes and uses of survey questions dealing with vision-related disability. Efforts to develop standardized questions to improve comparability across surveys are encouraged.

A QUALITY-DRIVEN DECISION-SUPPORT METHOD FOR IDENTIFYING SOFTWARE ARCHITECTURE CANDIDATES

To sustain the qualities of a software system during evolution, and to adapt the quality attributes as the requirements evolve, it is necessary to have a clear software architecture that is understood by all developers and to which all changes to the system adheres. This software architecture can be created beforehand, but must also be updated as the domain of the software, and hence the requirements on the software system evolve. Creating a software architecture for a system or part of a system so that the architecture fulfils the desired quality requirements is often hard. In this paper we propose a decision-support method to aid in the understanding of different architecture candidates for a software system. We propose a method that is adaptable with respect to both the set of potential architecture candidates and quality attributes relevant for the system's domain to help in this task. The method creates a support framework, using a multi-criteria decision method, supporting comparison of different software architecture candidates for a specific software quality attribute and vice versa, and then uses this support framework to reach a consensus on the benefits and liabilities of the different software architecture candidates and to increase the confidence in the resulting architecture decision.

Proteinase inhibitor-inducing activity of the prohormone prosystemin resides exclusively in the C-terminal systemin domain.

Prosystemin is the 200-amino acid precursor of the 18-amino acid polypeptide defense hormone, systemin. Herein, we report that prosystemin was found to be as biologically active as systemin when assayed for proteinase inhibitor induction in young tomato plants and nearly as active in the alkalinization response in Lycopersicon esculentum suspension-cultured cells. Similar to many animal prohormones that harbor multiple signals, the systemin precursor contains five imperfect repetitive domains N-terminal to a single systemin domain. Whether the five repetitive domains contain defense signals has not been established. N-terminal deletions of prosystemin had little effect on its activity in tomato plants or suspension-cultured cells. Deletion of the C-terminal region of prosystemin containing the 18-amino acid systemin domain completely abolished its proteinase inhibitor induction and alkalinization activities. The apoplastic fluid from tomato leaves and the medium of cultured cells were analyzed for proteolytic activity that could process prosystemin to systemin. These experiments showed that proteolytic enzymes present in the apoplasm and medium could cleave prosystemin into large fragments, but the enzymes did not produce detectable levels of systemin. Additionally, inhibitors of these proteolytic enzymes did not affect the biological activity of prosystemin. The cumulative data indicated that prosystemin and/or large fragments of prosystemin can be active inducers of defense responses in both tomato leaves and suspension-cultured cells and that the only region of prosystemin that is responsible for activating the defense response resides in the systemin domain.

A knowledge acquisition tool for intelligent computer tutors

This research addresses the widening gap between research in intelligent tutoring systems and practical use of this technology by the educational community. In order to insure that intelligent tutoring systems (ITSs) are effective, teachers must be involved in their design and evaluation. We have followed a user participatory design process to build a set of ITS knowledge acquisition tools tailored for usability by teachers. The system facilitates rapid prototyping and testing of curriculum and multiple tutoring strategies. Teachers use the system to create, modify, and test the system's domain content and tutoring strategy knowledge bases. The design includes novel methodologies for strategy representation and overlay student modeling, and incorporates considerations from instructional design theory. Tools have been designed to provide the user with visual models of the concepts and structures of the underlying framework. In close collaboration with a veteran high school teacher, we have used the interface to design a tutor for statics (part of a high school physics course). In this paper we describe the system (called KAFITS), report on our experience involving educators in ITS development, discuss issues of ITS knowledge representation and acquisition, and compare the system with related research in generic tutoring systems and knowledge acquisition.

A framework for representing & reasoning about 3-D objects

The capabilities for representing and reasoning about three-dimensional (3-D) objects are essential for knowledge-based, 3-D photointerpretation systems that combine domain knowledge with image processing, as demonstrated by 3- D Mosaic and ACRONYM. Three-dimensional representation of objects is necessary for many additional applications, such as robot navigation and 3-D change detection. Geometric reasoning is especially important because geometric relationships between object parts are a rich source of domain knowledge. A practical framework for geometric representation and reasoning must incorporate projections between a two-dimensional (2-D) image and a 3-D scene, shape and surface properties of objects, and geometric and topological relationships between objects. In addition, it should allow easy modification and extension of the system's domain knowledge and be flexible enough to organize its reasoning efficiently to take advantage of the current available knowledge. We are developing such a framework -- the Frame-based Object Recognition and Modeling (3-D FORM) System. This system uses frames to represent objects such as buildings and walls, geometric features such as lines and planes, and geometric relationships such as parallel lines. Active procedures attached to the frames dynamically compute values as needed. Because the order of processing is controlled largely by the order of slot access, the system performs both top-down and bottom-up reasoning, depending on the current available knowledge. The FORM system is being implemented with the Carnegie-Mellon University-built Framekit tool in Common Lisp (Carbonell and Joseph 1986). To date, it has been applied to two types of geometric reasoning problems: interpreting 3-D wire frame data and solving sets of geometric constraints.