scispace - formally typeset
Search or ask a question

Answers from top 16 papers

More filters
Papers (16)Insight
It is shown that the system can provide an efficient transfer of information through the network nodes in distributed environment.
A distributed, end-to-end information integration system that is based on the Semantic Web architecture is of considerable interest to both commercial and government organizations.
There may be two types of information system—centralized information center and collaborative/cooperative information system.
Naturally occurring information systems provide a number of useful metaphors for distributed problem solving.
We explain why such low cost, largely distributed system represents an important, foundational element, towards the building of early warning information systems.
Open accessProceedings ArticleDOI
15 Nov 1997
57 Citations
This system combines global naming and replication of both processing and data to support large scale information processing applications leading to better availability and reliability than currently available with typical cluster computing and/or distributed computer environments.
Proceedings ArticleDOI
Léon Lim, Denis Conan 
08 Dec 2014
12 Citations
Distributed Event-Based System (DEBS) provides a versatile solution for asynchronously exchanging data in a distributed system, loosely-coupled in space and time.
To achieve the wealth of health information, integrating, sharing, and availing data are the essential tasks that ultimately demand the concept of a distributed system.
In this paper a new distributed architecture, named "Distributed Architecture for Intelligent SYstem" (DAISY), is proposed.
A distributed computerized information system is well suited to meeting the needs of hospitals.
The development of these systems demonstrates that it is in fact possible to develop an environmental information system with a distributed database.
Distributed information management systems must be able to support individual organisations' informa- tion policies whilst securing global consistency and com- pleteness.
This novel concept of hospital information system has a major advantage over the currently used distributed systems.
A distributed Information System can be designed to better suit the information requirements of the business than a tightly integrated one.
Furthermore, next-generation information systems that combine this super distributed system with the so-called Internet system promise to provide people and society with even better services.
Being perhaps the first empirical attempt, this exploratory study identifies four information systems (IS) variables related to DRM in a distributed environment.

Related Questions

What is the Distributed Antenna System in physical server?5 answersA distributed antenna system (DAS) is a system that consists of a digital base station interface and multiple remote antenna units. The digital base station interface receives digital signals from a service provider interface and communicates these signals to the remote antenna units. The remote antenna units receive the signals from the digital base station interface and transmit them wirelessly using antennas. The DAS can have a daisy chain topological structure based on cable connection, which reduces transmission link costs and increases transmission bandwidth. The baseband processing is executed by the digital-to-analog expansion unit, while the far-end unit does not require a baseband processing device, reducing system costs and power consumption. The distributed antenna system includes a belt-shaped member with a sheet-shaped dielectric, a transmission path, and multiple antenna elements positioned in a distributed manner on the member. The antenna elements are electrically connected to the transmission path. The distributed antenna device includes transmit and receive antenna elements, as well as amplifiers. The amplifiers are mounted closely adjacent to the transmit antenna elements to minimize power loss, and at least one amplifier is a low noise amplifier for receiving and amplifying signals from the receive antenna elements. An integrated antenna distributed system supports various types of communication signals and uses a single reference signal for frequency stability. The reference signal is sent from the head end to remote units, and the converted signals are converted back to their original frequencies or bands at the remote units.
What is distributed leadership?5 answersDistributed leadership refers to the degree of contact and involvement of various individuals in making decisions and carrying out responsibilities within educational organizations. It is a concept that has gained popularity among researchers, policymakers, and practitioners in the field of educational leadership. Distributed leadership emphasizes the idea of shared or "stretched" leadership, where both formal and informal leaders play a role in leading and managing schools. It is seen as a democratic and equitable approach to leadership, promoting collaboration, shared vision, and collective decision-making. The concept of distributed leadership has generated significant attention, debate, and controversy in the field of educational leadership. It is considered a relevant and influential idea that has been the focus of empirical research over the past two decades.
What is distributed system storage?4 answersA distributed storage system is a computer system that stores data across multiple nodes or devices. It improves storage efficiency, system stability, and data safety. The system partitions data, judges the need for storage, and avoids waste of storage resources through repeated writing and replacement modules. It also improves the storage efficiency of small files with low-frequency access characteristics. Encoding and decoding data in a distributed storage system involves converting data into information vectors, multiplying them by a binary encoder matrix, and forming systematic codewords. Additionally, a distributed storage system reduces write delay and enhances write performance. The system includes endpoint nodes, gateway nodes, and gateway name servers, which resolve client requests and redirect them to the appropriate endpoint nodes for data retrieval.
Hadoop distributed file system4 answersHadoop Distributed File System (HDFS) is a management file system in the Hadoop framework that is used for storing and processing large volumes of data. It consists of two main components, the NameNode and the DataNode, where data is divided into blocks based on the size of the dataset. HDFS enables the storage of enormous amounts of data over a distributed network. It also supports replication and block placement algorithms to ensure high data availability and performance. Additionally, HDFS uses cryptographic techniques at the block level to provide security from unauthorized access. The HDFS architecture has been continuously improved to optimize access efficiency for small-sized files. Overall, HDFS plays a crucial role in managing and processing big data in distributed systems.
What is distributed semantic model?5 answersA distributed semantic model (DSM) is a method used in corpus linguistics and computational linguistics to model the meanings of words by capturing their distributional properties within a corpus. DSMs aim to create a semantic space that represents the relationships between words based on their co-occurrence patterns in the corpus. These models can be constructed using various techniques such as positive pointwise mutual information, global vectors, Skip-gram, and continuous bag of words (CBOW) embeddings. DSMs have been used to capture semantic similarity, verb-noun thematic role relations, noun-noun event-based relations, and to achieve semantic interoperability in Internet of Things (IoT) applications. They can serve as a sustainable solution for representing semantic information and recognizing entity relations. DSMs have shown promising results in instance disambiguation tasks, outperforming baseline methods.
How does ODP implement distributed objects?4 answersO ODP implementa objetos distribuídos por meio de uma nova abordagem orientada a objetos que estende o modelo de objetos distribuídos ativos. Essa abordagem introduz o conceito de fluxos distribuídos, que são fluxos de mensagens fluindo simultaneamente em vários locais. Os fluxos correspondem a variáveis, campos privados e parâmetros do método e são usados para armazenar e comunicar o estado. As instâncias ativas do protocolo consomem e geram fluxos, encapsulando seus estados internos como fluxos internos. A linguagem usada no ODP suporta a separação de preocupações, dissociando a estrutura semântica dos protocolos dos detalhes de implementação. A construção e a manutenção de sobreposições, árvores ou outras estruturas hierárquicas necessárias para a escalabilidade podem ser tratadas pelo compilador ou no momento da implantação. As principais construções da linguagem ODP foram implementadas e avaliadas em um simulador, e a estrutura completa do compilador será lançada como parte da plataforma de objetos distribuídos ao vivo.

See what other people are reading

What is requirement gathering ?
4 answers
Requirement gathering is a crucial step in software development, involving the collection and analysis of data requirements to ensure the successful creation of quality software products. It encompasses stages such as elicitation, analysis, negotiation, specification, and validation, which may vary across organizations and projects. The process has evolved with the integration of big data, artificial intelligence, and machine learning, enabling a more data-centric approach to software engineering. In the context of Global Software Development (GSD), requirement elicitation becomes more challenging due to geographical distances, limited face-to-face interactions, and cultural barriers, necessitating the identification and evaluation of success factors to ensure an effective elicitation process. Overall, requirement gathering plays a vital role in understanding and meeting customer needs while ensuring the successful implementation of software projects.
What is Remote Sensing?
5 answers
Remote sensing is the science and art of acquiring information about objects, areas, or phenomena without direct contact, utilizing sensors on various platforms like aircraft, satellites, and drones. It involves capturing emitted or reflected radiation to gather data about the Earth's surface, oceans, and atmosphere. Remote sensing methods can be passive, relying on naturally occurring radiation, or active, where instruments emit radiation for data collection. This technology has become a crucial tool in environmental monitoring, geology, and landscape ecology, aiding in tasks such as mapping, monitoring, and decision-making processes. By understanding the physical and technical basics of remote sensing, researchers can extract valuable information from the data acquired, contributing to a better comprehension of landscapes and environmental changes over time.
How to visualize the structure of a collection of documents?
5 answers
To visualize the structure of a collection of documents effectively, a novel approach is proposed that combines text and graph information for a comprehensive representation. By spatializing information within and between documents, insights can be gained through the spatial distribution of information, creating new information and enabling diverse insights. The Document Towers paradigm offers a visualization method resembling architectural models to represent documents, facilitating exploration and serendipitous insights through panoramic overviews. Interactive text visualization techniques, combined with natural language processing and linked views, allow for exploring relationships between entities in large document collections, enhancing comparative exploration and analysis tasks. Additionally, utilizing latent topic analysis, discriminative feature selection, and ranking methods can extract representative topics from a dataset, aiding in understanding trends and uncovering hidden structures within the data.
How has the implementation of SCRUM affected the productivity and efficiency of GenAI in daily use?
5 answers
The implementation of Scrum has shown significant positive impacts on productivity and efficiency in various fields. Studies have highlighted that employing Scrum Framework in AI project development can enhance product quality, revenue, and reduce production complexity. Additionally, the integration of Scrum Framework in quality assurance information system development has led to increased productivity, contributing significantly to accreditation achievements in higher education. Furthermore, the adoption of Scrum in software development teams has been linked to improved productivity levels and satisfaction, especially during technological changes. Moreover, incorporating Scrum in time and productivity management, along with positive psychology practices, has resulted in enhanced well-being and performance in users. Overall, the introduction of Scrum methodologies has consistently demonstrated improvements in productivity, efficiency, and overall well-being across various domains.
3.How can the defence organisation mitigate the risks of cyber terrorism?
5 answers
To mitigate the risks of cyber terrorism, defence organizations can implement various strategies. Firstly, they should focus on understanding major types of cyber threats to critical infrastructure (CI). Secondly, organizations should consider using enterprise-wide frameworks and integrated security controls to protect assets from internal and external threats. Additionally, a net-centric approach can be adopted to improve information sharing, situational awareness, and proactive vulnerability mitigation within the organization. Furthermore, cybersecurity assessment and authorization processes, such as the Platform Information Technology Assessment and Authorization (PIT A&A) Process, can help identify and mitigate vulnerabilities in major weapon systems. Lastly, developing a framework with recommendations for mitigating cyber security risks in the supply chain can enhance national security by addressing vulnerabilities in the defense industry.
What is project failure definition?
4 answers
Project failure can be defined in various ways. It can encompass not meeting stakeholder expectations, failing to achieve set objectives, or experiencing significant delays and budget overruns. Factors contributing to project failure include miscommunication, unclear objectives, lack of top management support, and poor scheduling. Research highlights the importance of recognizing failure as a process with identifiable phases and critical behaviors leading to failure, emphasizing the need for effective team behavior and project management strategies. Different stakeholders may perceive project failure differently, with contracting organizations focusing on cost and time targets, while sponsors and end-users evaluate operational results. Overall, project failure underscores the significance of communication, stakeholder engagement, and effective project management practices to mitigate risks and enhance project success.
What are the business processes in agro processing industry?
5 answers
Business processes in the agro processing industry involve a set of interconnected operations aimed at utilizing industry-specific resources to produce valuable agricultural products for consumers. These processes include production processes, auxiliary services, provision processes, and development processes, all crucial for the functioning of agricultural enterprises. Effective management of these processes requires considering key business processes, enterprise subsystems, and consumer types, while also factoring in industry specifics, formalized strategies, enterprise size, and macroeconomic influences. Business process management in the agro sector relies heavily on information and communication technologies to enhance performance, efficiency, flexibility, and competitiveness of organizations. The development of detailed business process maps aids in visualizing and optimizing operations, enhancing control over problems, and improving overall productivity in the agro-industrial complex.
Who were the actors or key organisations that shaped up the cocaine drug policy in the Australian context?
5 answers
The shaping of cocaine drug policy in Australia involved various actors and organizations. The Australian National Council on Drugs (ANCD) played a significant role in the drug policy community, introduced in 1997 as part of the "Tough on Drugs" policy initiative by the Howard conservative government. Additionally, non-government organizations (NGOs) like Australia21 have actively engaged in the drug policy debate, advocating for a shift away from prohibition-based approaches. Moreover, the study by Shearer et al. highlighted the role of cocaine dealers in the Australian market, emphasizing the challenges in disrupting private social networks involved in cocaine transactions. These actors, including governmental bodies like the ANCD, NGOs like Australia21, and cocaine dealers, collectively influenced and shaped the landscape of cocaine drug policy in Australia.
What are the key performance indicators (KPIs) used to measure the success of an incubation business model?
5 answers
Key Performance Indicators (KPIs) play a crucial role in measuring the success of an incubation business model. These KPIs include metrics such as the number of patents granted, support services provided, selection and exit criteria for incubatees, academia and corporate linkages, and the nature of functioning of the business incubator. Additionally, critical factors like financial resources, networking, and social capital are essential for assessing the performance of business incubators. A model developed for start-ups in an incubation process identified 99 critical success factors, emphasizing the importance of continuous improvement and learning processes for incubated start-ups. Furthermore, the design of an Information Management System tailored for business incubators aims to provide a common set of metrics and KPIs to facilitate informed decision-making for entrepreneurs.
What are the main disadvantages of telemedicine in Bolivia?
5 answers
The main disadvantages of telemedicine in Bolivia include potential breakdowns in the relationship between health professionals and patients, as well as among health professionals themselves. Additionally, concerns may arise regarding the quality of health information provided through telemedicine services, and organizational and bureaucratic challenges could impede the smooth implementation and operation of telemedicine practices in the country. While telemedicine offers significant benefits such as improved access to information, expanded care delivery, and cost reduction, these drawbacks highlight the importance of addressing communication issues, ensuring information quality, and streamlining administrative processes to maximize the effectiveness of telemedicine initiatives in Bolivia.
What are the key findinfs in dot points?
4 answers
The key findings related to dots in the provided contexts include various aspects such as segmentation, roughness sensation, and sensor markers. In Context_2, a method for segmenting small round regions, like dots, in images using graph cuts with attraction and repulsion cues is discussed. Context_4 explores the relationship between dot spacing and curvature in determining roughness sensation. On the other hand, Context_5 presents a method for determining sensor markers on a 3D object using camera images. These findings collectively contribute to different fields such as image processing, sensory evaluation, and computer vision, showcasing the diverse applications and implications of dot-related research.