Relevant bibliographies by topics / Information networks Information services Human information processing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Information networks Information services Human information processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Information networks Information services Human information processing"

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Alwateer, M., S. W. Loke, and A. M. Zuchowicz. "Drone services: issues in drones for location-based services from human-drone interaction to information processing." Journal of Location Based Services 13, no. 2 (January 16, 2019): 94–127. http://dx.doi.org/10.1080/17489725.2018.1564845.

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Streimikis, Justas, Liudmila Kortenko, Marina Panova, and Mikhail Voronov. "Development of a smart city information system." E3S Web of Conferences 301 (2021): 05002. http://dx.doi.org/10.1051/e3sconf/202130105002.

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This paper is centred around the development of a smart city information system. Smart cities use the framework of information and communications technologies to create, deploy and promote practices that address urban challenges and create, connect and enable sustainable infrastructure. This definition focuses on network deployment, transport, ICT investment, human and social capital to support sustainable community goals and quality of life by involving users of certain technologies and community-based applications in social participation. In this paper, we show that a multi-disciplinary approach is needed to address these issues, combining expertise from distributed systems, software and services engineering, network and data management and processing, crowdsourcing, sensor and update methods, social computing, as well as the collective intelligence.
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Chen, Huanzhao, and Guohui Tian. "A Computing Model of Selective Attention for Service Robot Based on Spatial Data Fusion." Journal of Robotics 2018 (July 2, 2018): 1–9. http://dx.doi.org/10.1155/2018/5368624.

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Robots and humans are facing the same problem: they all need to face a lot of perceptual information and choose valuable information. Before the robots provide services, they need to complete a robust real-time selective attention process in the domestic environment. Visual attention mechanism is an important part of human perception, which enables humans to select the visual focus on the most potential interesting information. It also could dominate the allocation of computing resource. It also could focus human’s attention on valuable objects in the home environment. Therefore we are trying to transfer visual attention selection mechanism to the scene analysis of service robots. This will greatly improve the robot’s efficiency in perception and processing information. We proposed a computing model of selective attention which is biologically inspired by visual attention mechanism, which aims at predicting focus of attention (FOA) in a domestic environment. Both static features and dynamic features are composed in attention selection computing process. Information from sensor networks is transformed and incorporated into the model. FOA is selected based on a winner-take-all (WTA) network and rotated by inhibition of return (IOR) principle. The experimental results showed that this approach is robust to the partial occlusions, scale-change illumination, and variations. The result demonstrates the effectiveness of this approach with available literature on biological evidence. Some specific domestic service tasks are also tailored to this model.
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Tomašević, Aleksandra, Ranka Stanković, Miloš Utvić, Ivan Obradović, and Božo Kolonja. "Managing mining project documentation using human language technology." Electronic Library 36, no. 6 (December 10, 2018): 993–1009. http://dx.doi.org/10.1108/el-11-2017-0239.

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Purpose This paper aims to develop a system, which would enable efficient management and exploitation of documentation in electronic form, related to mining projects, with information retrieval and information extraction (IE) features, using various language resources and natural language processing. Design/methodology/approach The system is designed to integrate textual, lexical, semantic and terminological resources, enabling advanced document search and extraction of information. These resources are integrated with a set of Web services and applications, for different user profiles and use-cases. Findings The use of the system is illustrated by examples demonstrating keyword search supported by Web query expansion services, search based on regular expressions, corpus search based on local grammars, followed by extraction of information based on this search and finally, search with lexical masks using domain and semantic markers. Originality/value The presented system is the first software solution for implementation of human language technology in management of documentation from the mining engineering domain, but it is also applicable to other engineering and non-engineering domains. The system is independent of the type of alphabet (Cyrillic and Latin), which makes it applicable to other languages of the Balkan region related to Serbian, and its support for morphological dictionaries can be applied in most morphologically complex languages, such as Slavic languages. Significant search improvements and the efficiency of IE are based on semantic networks and terminology dictionaries, with the support of local grammars.
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Wang, Yiming, and Xidan Gong. "Optimization of Data Processing System for Exercise and Fitness Process Based on Internet of Things." Wireless Communications and Mobile Computing 2021 (July 6, 2021): 1–11. http://dx.doi.org/10.1155/2021/7132301.

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In the digital network era, people have higher requirements for physical fitness. In the future, physical fitness requires not only good fitness equipment and fitness environment but also more convenient and intelligent health management, service guidance, social entertainment, and other refined fitness services. The innovation of sports and fitness equipment for the digital network era will definitely depend on the development of information technology and network technology. Based on the cutting-edge Internet of Things technology, this thesis focuses on the development and application of a new generation of digital fitness equipment adapted to future development, advocating the new concept of seamless integration of fitness exercise and information services through human-oriented systematic design thinking and providing implementable solutions to realize the science, convenience, and life of public fitness. This thesis uses modern science and technology, especially the Internet of Things (IoT) technology, to fully meet the diversified fitness needs of the fitness crowd as the guide; IoT digital fitness equipment design and application research was newly generated, using a variety of research methods to explore the functional design and application of IoT fitness equipment; the goal is to create a more intelligent and three-dimensional IoT fitness service model in the future. Through the application research of intelligent devices in IoT fitness equipment, the realization of the functions of identity identification, environment perception, and data transmission of IoT fitness equipment is made faster. Intelligent devices can become the interaction channel between fitness service personnel, fitness equipment, and fitness users and also reduce the development cost of IoT fitness equipment. The construction of an IoT fitness cloud service platform and data management system integrates the application of IoT, cloud computing, mobile communication, and other technologies to make IoT fitness service supply remote, real-time, and diversified. While providing convenient and value-added fitness services for fitness people, it also brings sustainable development space for the health service industry.
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Cai, Chunling, and Chuanyi Chen. "Optimization of Human Resource File Information Decision Support System Based on Cloud Computing." Complexity 2021 (June 4, 2021): 1–12. http://dx.doi.org/10.1155/2021/8919625.

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With the rapid development of science and technology era, human resources and knowledge resources have become an important part of the development of enterprises. Therefore, it is very necessary to establish human resources data pool and carry out data mining based on it, so as to extract high quality and high quantity information to provide support for managers’ decision-making. In this study, the human resource archive information decision support system (DSS) is developed for various management and decision-making works by taking advantage of the characteristics of cloud computing, such as large scale, high reliability, versatility, and high expansibility. Based on the analysis of “cloud computing” advantages in resources integration and sharing and so on, on the basis of this system is designed by using the basis of the data acquisition layer, support layer of network services, cloud computing support layer, data standardization conversion layer, system application layer, system layer, decision support layer and so on 7 layer architecture, discusses the features and functions of each layer structure, the working mode and working mode of the Decision Support System (DSS) are introduced in detail. The system makes up for the defects of the traditional archive management, such as the lack of data resources, the inability to realize the isomorphism, and standardized processing of the data from multiple data sources.
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Molnár, Tünde Lengyel. "Trend Analysis of Technologies Supporting the Availability of Online Content: From Keyword-Based Search to the Semantic Web." Acta Universitatis Sapientiae, Communicatio 7, no. 1 (December 1, 2020): 92–106. http://dx.doi.org/10.2478/auscom-2020-0007.

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Abstract The era of Web 1.0 implied the connection of web-based documents via links, which enabled search engines to scan for information and guarantee the search and availability of webpages. Web 2.0 represented the next evolutionary stage. Known as the collaborative web, the emphasis in this case was on the establishment of services and content by the community. Search options were complemented with labelling and frequently undesirable clickstream analysis coupled with push technology-supported information provision. The semantic web is a revolutionary development, which, in addition to processing information by humans, assures the readability of datasets by machines and facilitates communication between devices. In order to promote data and information processing by machines, the semantic web relies on a special ontology allocating the respective meaning to the given data along with relying on the global indexing and naming schemes of the web. Several ontologies emerged with differing basic guidelines while displaying compatibility to the RDF standard ranging from the more semantic description of bibliographical data in libraries to the description of information gained from social networks and human conversations. While Web 3.0 is often used interchangeably with the semantic web, the former one with its intelligent server function exceeds the semantic web. We have to ask ourselves, however, whether we can rely on the accuracy of the obtained data, and we must explore what progress have libraries – expected to increase reliability – made regarding the implementation of semantic data storage.
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Bansal, Maggi, Inderveer Chana, and Siobhan Clarke. "Enablement of IoT Based Context-Aware Smart Home with Fog Computing." Journal of Cases on Information Technology 19, no. 4 (October 2017): 1–12. http://dx.doi.org/10.4018/jcit.2017100101.

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The recent advent of Internet of Things (IoT), has given rise to a plethora of smart verticals- smart homes being one of them. Smart Home is a classic example of IoT, wherein smart appliances connected via home gateways constitute a local home network to assist people in activities of daily life. Smart Home involves IoT-based automation (such as smart lighting, heating, surveillance etc.), remote monitoring and control of smart appliances. Besides automation, human-in-the-loop is a unique characteristic of Smart home to offer personalized services. Understanding the human behavior requires context processing. Thus, enablement of Smart home involves two prominent technologies IoT and context-aware computing. Further, local devices lying in the smart home have the implicit location and situational information, hence fog computing can offer real-time smart home services. In this paper, the authors propose ICON (IoT-based CONtext-aware) framework for context-aware IoT applications such as smart home, further ICON leverages fog-based IoT middleware to perform context-aware processing.
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Kholkhunova, O. S. "Librarian in charge of social media: Volunteering or staffing position?" Scientific and Technical Libraries, no. 3 (March 4, 2019): 63–74. http://dx.doi.org/10.33186/1027-3689-2019-3-63-74.

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Тhe problems of library services integration into social media are considered. The main activities of the library specialist working in social media are revealed. The opinion is expressed that the library account in social networks has not only a marketing function, but also an educational and service one. The example of applied research "Activities of municipal public libraries in Belgorod region on the grounds" held in 2016, Belgorod state universal scientific library, lists the shortcomings of the mission of the municipal libraries of the region in social networks, among them the lack of system and low frequency, incorrect processing of accounts, poor navigation, insufficient efficiency in answering queries of users and the support of dialogue. It is proved that the insufficient realization of the potential of social networks as a resource for promoting libraries and a platform for full library and information services is due to human resources. It is concluded that the library, the leading representation of the library in social networks, requires an employee at a separate rate for work in social networks.
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Tan, Rong, Yuan Tao, Wen Si, and Yuan-Yuan Zhang. "Privacy preserving semantic trajectory data publishing for mobile location-based services." Wireless Networks 26, no. 8 (June 15, 2019): 5551–60. http://dx.doi.org/10.1007/s11276-019-02058-8.

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Abstract The development of wireless technologies and the popularity of mobile devices is responsible for generating large amounts of trajectory data for moving objects. Trajectory datasets have spatiotemporal features and are a rich information source. The mining of trajectory data can reveal interesting patterns of human activities and behaviors. However, trajectory data can also be exploited to disclose users’ privacy information, e.g., the places they live and work, which could be abused by a malicious user. Therefore, it is very important to protect the users’ privacy before publishing any trajectory data. While most previous research on this subject has only considered the privacy protection of stay points, this paper distinguishes itself by modeling and processing semantic trajectories, which not only contain spatiotemporal data but also involve POI information and the users’ motion modes such as walking, running, driving, etc. Accordingly, in this research, semantic trajectory anonymizing based on the k-anonymity model is proposed that can form sensitive areas that contain k − 1 POI points that are similar to the sensitive points. Then, trajectory ambiguity is executed based on the motion modes, road network topologies and road weights in the sensitive area. Finally, a similarity comparison is performed to obtain the recordable and releasable anonymity trajectory sets. Experimental results show that this method performs efficiently and provides high privacy levels.
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Dissertations / Theses on the topic "Information networks Information services Human information processing"

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Niranjan, Mysore Radhika. "Towards IQ-Appliances: Quality-awareness in Information Virtualization." Thesis, Available online, Georgia Institute of Technology, 2007, 2007. http://etd.gatech.edu/theses/available/etd-04262007-121537/.

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Thesis (M. S.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008.
Ferri, Bonnie Heck, Committee Member ; Gavrilovska, Ada, Committee Member ; Yalamanchili, Sudhakar, Committee Member ; Schwan, Karsten, Committee Chair.
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Morley, Sarah. "The design and evaluation of non-visual information systems for blind users." Thesis, University of Hertfordshire, 1999. http://hdl.handle.net/2299/14047.

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This research was motivated by the sudden increase of hypermedia information (such as that found on CD-ROMs and on the World Wide Web), which was not initially accessible to blind people, although offered significant advantages over traditional braille and audiotape information. Existing non-visual information systems for blind people had very different designs and functionality, but none of them provided what was required according to user requirements studies: an easy-to-use non-visual interface to hypermedia material with a range of input devices for blind students. Furthermore, there was no single suitable design and evaluation methodology which could be used for the development of non-visual information systems. The aims of this research were therefore: (1) to develop a generic, iterative design and evaluation methodology consisting of a number of techniques suitable for formative evaluation of non-visual interfaces; (2) to explore non-visual interaction possibilities for a multimodal hypermedia browser for blind students based on user requirements; and (3) to apply the evaluation methodology to non-visual information systems at different stages of their development. The methodology developed and recommended consists of a range of complementary design and evaluation techniques, and successfully allowed the systematic development of prototype non-visual interfaces for blind users by identifying usability problems and developing solutions. Three prototype interfaces are described: the design and evaluation of two versions of a hypermedia browser; and an evaluation of a digital talking book. Recommendations made from the evaluations for an effective non-visual interface include the provision of a consistent multimodal interface, non-speech sounds for information and feedback, a range of simple and consistent commands for reading, navigation, orientation and output control, and support features. This research will inform developers of similar systems for blind users, and in addition, the methodology and design ideas are considered sufficiently generic, but also sufficiently detailed, that the findings could be applied successfully to the development of non-visual interfaces of any type.
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Siegle, Greg Jeremy. "Cognitive and physiological aspects of attention to personally relevant negative information in depression /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1999. http://wwwlib.umi.com/cr/ucsd/fullcit?p9935457.

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Langenbrunner, Mary R. "Is the Brain Really Like A Computer? Information Processing Theory: Implications for Working With Children." Digital Commons @ East Tennessee State University, 2001. https://dc.etsu.edu/etsu-works/3495.

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Stricker, John Larry. "Executive functions and constructive neural networks /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2004. http://wwwlib.umi.com/cr/ucsd/fullcit?p3123669.

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Matondolo, Siyamthanda Luthando. "Utilisation of ICT in healthcare centre to support HIV/AIDS flow of information and service delivery In Khayelitsha." Thesis, Cape Peninsula University of Technology, 2012. http://hdl.handle.net/20.500.11838/2477.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2012.
This research is an attempt to investigate the utilisation of Information Communication Technology (ICT) in Healthcare to support the flow of HIV/AIDS patient’s general information in public and private sector. Furthermore, the research examines the detail flow of database information for healthcare service delivery to patients, in particular HIV/AIDS patients, in Khayelitsha Township. Finally, the research will detail the types of technologies currently being utilised to transfer this information, technology utilised for capturing or data collection profile of the patient. The research study data collecting was done in 2009 in mostly private and public healthcare centre in Khayelitsha township. First, the study will concentrate on general utilisation of ICT in healthcare service delivery and flow of information for public and private sector healthcare centres. Additionally, the research also looks at NGOs such as HIV/AIDS Unit in Cape Peninsula University of Technology (CPUT) and Treament Action Campaign (TAC) to find out what ICT equipment is being utilised to transfer this information to adult people to inform and make them to be aware of HIV/AIDS and improve healthcare service delivery to patients and particularly to HIV/AIDS patients. Taking NGO’s such as TAC and CPUT HIV/AIDS Unit that are well informed about HIV/AIDS, nationally and internationally will make our research results to be more precise. The research will also look at the utilisation of ICT in flow of information at healthcare centre such as communication between healthcare providers such as receptionist/clerk, nurses, doctors and medical researchers since they are the first people who deal with HIV/AIDS patient cases when they come for healthcare provision.
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Newlon, Christine Mae. "The effect of shared dynamic understanding on willingness to contribute information| Design and analysis of a mega-collaborative interface." Thesis, Indiana University - Purdue University Indianapolis, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10159859.

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Collaborative helping via social networking conversation threads can pose serious challenges in emergency situations. Interfaces that support complex group interaction and sense-making can help. This research applies human-computer interaction (HCI), computer-supported cooperative work (CSCW), and collaboration engineering in developing an interactive design, the Mega-Collaboration Tool (MCT). The goal is to reduce the cognitive load of a group’s growing mental model, thus increasing the general public’s ability to organize spontaneous collaborative helping.

The specific aims of this research include understanding the dynamics of mental model negotiation and determining whether MCT can assist the group’s sense-making ability without increasing net cognitive load.

The proposed HCI theory is that interfaces supporting collaborative cognition motivate contribution and reduce information bias, thus increasing the information shared. These research questions are addressed: 1. Does MCT support better collaborative cognition? 2. Does increasing the size of the shared data repository increase the amount of information shared? 3. Does this happen because group members experience 1) a greater sense of strategic commitment to the knowledge structure, 2) increased intrinsic motivation to contribute, and 3) reduced resistance to sharing information?

These questions were affirmed to varying degrees, giving insight into the collaborative process. Greater content did not motive group members directly; instead, half of their motivation came from awareness of their contribution’s relevance. Greater content and organization improved this awareness, and also encouraged sharing through increased enthusiasm and reduced bias. Increased commitment was a result of this process, rather than a cause. Also, MCT increased collaborative cognition but was significantly hampered by Internet performance. This challenge indicates MCT’s system components should be redesigned to allow asynchronous interaction. These results should contribute to the development of MCT, other collaboration engineering applications, and HCI and information science theory.

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Ling, Meng-Chun. "Senior health care system." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2785.

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Senior Health Care System (SHCS) is created for users to enter participants' conditions and store information in a central database. When users are ready for quarterly assessments the system generates a simple summary that can be reviewed, modified, and saved as part of the summary assessments, which are required by Federal and California law.
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Van, Wyk Byron Jay. "E-trust: a building block for developing valuable online platforms in Higher Education." Thesis, Cape Peninsula University of Technology, 2013. http://hdl.handle.net/20.500.11838/1852.

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Thesis submitted in fulfilment of the requirements for the degree Master of Technology Design in the Faculty of Informatics and Design at the Cape Peninsula University of Technology Supervisor: Prof J Messeter Cape Town, 2013
The aim of this research project was to provide an answer to the question: “How can an understanding of online trust be used to build valuable online applications in Higher Education?” In order to present an answer to this question, a literature survey was conducted to establish: • An understanding of the phenomenon of online trust • What the factors are that influence a loss of trust in the online environment The literature survey highlighted several factors that influence a loss of trust in the online environment, called trust cues. These factors, however, were often tested within the E-commerce environment, and not in organization-specific contexts, such as online platforms in use in Higher Education. In order to determine whether or not these factors would influence the development of trust in context-specific environments, the author of this research grouped the indentified trust factors into three focus areas, i.e. content, ease of use, and navigation. These factors were then incorporated into a series of nine different prototypes. These prototypes were different versions of a particular online platform currently in use at the Cape Peninsula University of Technology (CPUT). The prototypes were tested over a three week period, with certain staff members at the institution in question recruited as test participants. During each week of user observations, a different focus area was targeted, in order to establish the impact that it would have on the perceived trustworthiness of the platform in question. User observations were conducted while test participants completed a standard process using the various prototypes. Semi-structured interviews were also conducted while participants completed the specific process. Participants were asked to evaluate each screen in the process according to its perceived trust worthiness, by assigning a trust level score. At the completion of the three rounds of user observations, in-depth interviews were conducted with test participants. The participants’ trust level scores for each prototype were captured and graphed. A detailed description for the score given for a particular screen was presented on each graph. These scores were combined to provide an analysis of the focus area tested during the specific round. After the three rounds of user observations were completed, an analysis of all the trust factors tested were done. Data captured during interviews were transcribed, combined with feedback received from questionnaires, and analysed. An interpretation of the results showed that not all trust factors had a similar influence in the development of trust in the online platform under investigation. Trust cues such as content organization, clear instructions and useful content were by far the most significant trust factors, while others such as good visual design elements, professional images of products, and freedom from grammatical and typographical errors had little or no impact in the overall trustworthiness of the platform under investigation. From the analysis done it was clear that the development of trust in organization-specific contexts is significantly different than developing trust in an E-commerce environment and that factors that influence the development of trust in one context might not always be significant in another. In conclusion, it is recommended that when software applications are developed in organization-specific contexts, such as Higher Education, that trust factors such as good content organization, clear instructions and useful content be considered as the most salient. Organization-specific contexts differ quite significantly in that the users of these systems often convey a certain degree of trust toward the online platforms that they work with on a daily basis. Trust factors that are geared toward developing an initial or basic trust in a particular platform, which is often the case with first time users engaging in an E-commerce platform, would therefore not be as significant in the development of a more developed level of trust, which is what is needed within the development of organization-specific online platforms.
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Ruddy, M. Karen. "A sociometric analysis of information-seeking behavior, information sources, and information networks in boards, committees and commissions in a small rural Iowa community." 1990. http://catalog.hathitrust.org/api/volumes/oclc/23352739.html.

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Books on the topic "Information networks Information services Human information processing"

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Guide to business information on Central and Eastern Europe. London: Aslib, 2000.

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Konn, Tania. Guide to business information on Central and Eastern Europe. Chicago: Fitzroy Dearborn, 2000.

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Information and referral networks: Doorways to human services. New York: Springer, 1988.

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Atad, Amit. Representations: Information and its formation. Israel: AA Pub., 2002.

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Kuzʹmina, M. G. Oscillatory neural networks: In problems of parallel information processing. Berlin: De Gruyter, 2014.

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Nimmer, Raymond T. Information law. [St. Paul, MN]: West Group, 2002.

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Nimmer, Raymond T. Information law. New York: Warren, Gorham & Lamont, 1996.

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Smaltz, Detlev H. (Detlev Herb) and Slovensky, Donna J. (Donna Jean), eds. Information systems for healthcare management. Chicago, IL: Health Administration Press, 2014.

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Piele, Philip K. Local area networks in education: Overview, applications, and current limitations. Eugene, Or: ERIC Clearinghouse on Educational Management, College of Education, University of Oregon, 1985.

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Brassard, Daniel J. Information technology: The integration of government services. Ottawa, Ont: Library of Parliament, Research Branch, 1995.

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Book chapters on the topic "Information networks Information services Human information processing"

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Liu, Qian, Juan Gu, Jingchao Yang, Yun Li, Dexuan Sha, Mengchao Xu, Ishan Shams, Manzhu Yu, and Chaowei Yang. "Cloud, Edge, and Mobile Computing for Smart Cities." In Urban Informatics, 757–95. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_41.

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AbstractSmart cities evolve rapidly along with the technical advances in wireless and sensor networks, information science, and human–computer interactions. Urban computing provides the processing power to enable the integration of such technologies to improve the living quality of urban citizens, including health care, urban planning, energy, and other aspects. This chapter uses different computing capabilities, such as cloud computing, mobile computing, and edge computing, to support smart cities using the urban heat island of the greater Washington DC area as an example. We discuss the benefits of leveraging cloud, mobile, and edge computing to address the challenges brought by the spatiotemporal dynamics of the urban heat island, including elevated emissions of air pollutants and greenhouse gases, compromised human health and comfort, and impaired water quality. Cloud computing brings scalability and on-demand computing capacity to urban system simulations for timely prediction. Mobile computing brings portability and social interactivity for citizens to report instantaneous information for better knowledge integration. Edge computing allows data produced by in-situ devices to be processed and analyzed at the edge of the network, reducing the data traffic to the central repository and processing engine (data center or cloud). Challenges and future directions are discussed for integrating the three computing technologies to achieve an overall better computing infrastructure supporting smart cities. The integration is discussed in aspects of bandwidth issue, network access optimization, service quality and convergence, and data integrity and security.
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Chowdhury, Mozammel, Junbin Gao, and Rafiqul Islam. "Detection of Human Faces Using Neural Networks." In Neural Information Processing, 690–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46672-9_77.

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Ronao, Charissa Ann, and Sung-Bae Cho. "Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors." In Neural Information Processing, 46–53. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26561-2_6.

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Liu, Xiao, and Xudong Yang. "Multi-stream with Deep Convolutional Neural Networks for Human Action Recognition in Videos." In Neural Information Processing, 251–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04167-0_23.

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Xie, Xiurui, Hong Qu, Guisong Liu, and Lingshuang Liu. "Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks." In Neural Information Processing, 366–73. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12637-1_46.

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Li, Shuoqi, Sang H. Son, and John A. Stankovic. "Event Detection Services Using Data Service Middleware in Distributed Sensor Networks." In Information Processing in Sensor Networks, 502–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36978-3_34.

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Hosni, Adil Imad Eddine, Kan Li, and Sadique Ahmed. "HISBmodel: A Rumor Diffusion Model Based on Human Individual and Social Behaviors in Online Social Networks." In Neural Information Processing, 14–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04179-3_2.

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Gómez, Miguel, Tomás P. de Miguel, and Fermín Galán. "Advanced Collaborative Services Provisioning in Next Generation Networks." In IFIP International Federation for Information Processing, 203–17. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/0-387-31170-x_15.

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Borgonovo, Flaminio, Matteo Cesana, and Luigi Fratta. "Broadcast Services and Topology Control in Ad-Hoc Networks." In IFIP International Federation for Information Processing, 407–18. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/0-387-23150-1_35.

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Plagemann, Thomas, Jon Andersson, Ovidiu Drugan, Vera Goebel, Carsten Griwodz, Pål Halvorsen, Ellen Munthe-Kaas, Matija Puzar, Norun Sanderson, and Katrine Stemland Skjelsvik. "Middleware Services for Information Sharing in Mobile Ad-Hoc Networks." In IFIP International Federation for Information Processing, 225–36. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/0-387-24043-8_22.

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Conference papers on the topic "Information networks Information services Human information processing"

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Winer, Charles, and Thomas W. Pavkov. "Human Services Information Technology." In 2001 Informing Science Conference. Informing Science Institute, 2001. http://dx.doi.org/10.28945/2380.

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From surveyed responses and evolving technologies, technical issues related to developing a secure county/regional based human services information systems solution are identified. Components of such a system are identified and discussed as to their viability to successfully design and implement shared data between government agencies and non-profit groups throughout Lake County and the State of Indiana. Some of these components are a common intake function, master client/family index to including client education, training and history components, a master provider index, case coordination/management system, and the use of E-forms to reduce traditional paper processing and encourage more efficient usage of data storage and retrieval technologies within a clientcentric environment.
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Yu, John P., Chengwei Lei, Duncan Wong, Jason Choi, and Jason Cotton. "Blockchain Applications in Oilfield Underground Injection Operations." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21786-ms.

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Abstract This research project has successfully built a Distributed Ledger Technology (DLT) based prototype using R3 Corda open source. Its purpose applies in the oil & gas underground injection control (UIC) operations for the underground aquifer protection. This DLT prototype is a permissioned network that allows oil & gas companies to create, disseminate, and trace immutable records. The network enables oil and gas companies, government regulatory agency, and all other participants to share secure records such as well information while maintaining data integrity, traceability, and security. The purpose is to create a network of trust among all the stakeholders in the UIC processes for underground aquifer protection. In this DLT network, a company submits well information, which will be digitally signed and notarized. Unauthorized changes to the information, ownership, or history will become infeasible, thanks to the underlying cryptographic technologies of DLT. The network designs so that information stored and communicated will have a high level of trustworthiness. Every participant in the network can get simultaneous access to a common view of the data. Corda platform also provides multiple functionalities, e.g., Smart contract, Vault, Identity Management, Scheduler, Notary Services, etc. Many of the functionalities automate the data processing within the DLT databases. This project's results expect to enhance public safety and improve the aquifer protection review and operational processes. Kern County uniquely poises for a project to develop more streamlined, effective, and entirely digitized DLT-based workflows that will secure regional environmental data integrity. Water contamination is a primary concern in a region where water and petroleum play vital roles in the economy. Both industries and regulatory agencies pay close attention to environmental quality. Data integrity is a primary issue concern for those that monitor and analyze environmental data. Monitoring and forecasting based on available immutable data are imperative to mitigate complications. We have changed the manual workflow into DLT applications which takes advantage of built-in functionalities. The new review process can avoid repetitive reviews among all participants and shorten the approval time. The embedded smart contracts on the DLT network will also help automate the workflows, and therefore, will be able to help eliminate human errors and improve the turnaround time. The prototype model proves the concept of using DLT. Our research work demonstrates DLT successfully implement into energy technology. The prototype model will further expand to all the UIC processes, such as thermal, wastewater disposal, waterflood, gas injection & disposal, etc. It is a substantial cost and time savings for all the oil and gas companies. The results of this analysis could provide the government with valuable information for significant policy and regulation decisions to further benefit the community and society.
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Guobao Xu, Yixin Yin, Lu Yin, Yanshuang Hao, and Zhenyu Wang. "Visual information processing using cellular neural networks for mobile robot." In 2007 IEEE International Conference on Grey Systems and Intelligent Services. IEEE, 2007. http://dx.doi.org/10.1109/gsis.2007.4443432.

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Pavlova, D. B., G. E. Zavolodko, I. I. Obod, I. V. Svyd, O. S. Maltsev, and L. F. Saikivska. "Optimizing Data Processing in Information Networks of Airspace Surveillance Systems." In 2019 10th International Conference on Dependable Systems, Services and Technologies (DESSERT). IEEE, 2019. http://dx.doi.org/10.1109/dessert.2019.8770022.

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Pathak, Priyansha, Priyanka Narendra, S. Raja Mathanky, and H. V. Srinivasa Murthy. "Semantic Segmentation of Human Body using Generative Adversarial Neural Networks." In 2018 Fourteenth International Conference on Information Processing (ICINPRO). IEEE, 2018. http://dx.doi.org/10.1109/icinpro43533.2018.9096774.

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Priyantha, Bodhi, Aman Kansal, Michel Goraczko, and Feng Zhao. "Tiny Web Services for Sensor Device Interoperability." In 2008 7th International Conference on Information Processing in Sensor Networks (IPSN). IEEE, 2008. http://dx.doi.org/10.1109/ipsn.2008.33.

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Mohammad, Yasser, Yong Xu, Kenichi Matsumura, and Toyoaki Nishida. "The H3R Explanation Corpus human-human and base human-robot interaction dataset." In 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2008. http://dx.doi.org/10.1109/issnip.2008.4761987.

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Yao, Yanling, Yongqiang Chen, and Xianfeng Li. "Processing and Analysis on the Slice Image of Human Body." In 2009 International Conference on Wireless Networks and Information Systems (WNIS). IEEE, 2009. http://dx.doi.org/10.1109/wnis.2009.54.

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"On Human Inspired Semantic SLAM’s Feasibility." In 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003028600990108.

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Lymberopoulos, Dimitrios, Athanasios Bamis, Thiago Teixeira, and Andreas Savvides. "BehaviorScope: Real-Time Remote Human Monitoring Using Sensor Networks." In 2008 7th International Conference on Information Processing in Sensor Networks (IPSN). IEEE, 2008. http://dx.doi.org/10.1109/ipsn.2008.49.

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Reports on the topic "Information networks Information services Human information processing"

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African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&D), academies of science, ministries of science and technology, policies, recognition of research, and participation in the Science Granting Councils Initiative (SGCI), the following countries demonstrate the highest commitment and political willingness to invest in science: Botswana, Ethiopia, Kenya, Senegal, South Africa, Tanzania, and Uganda. In addition to existing policies in Science, Technology and Innovation (STI), the following countries have made progress towards Open Data policies: Botswana, Kenya, Madagascar, Mauritius, South Africa and Uganda. Only two African countries (Kenya and South Africa) at this stage contribute 0.8% of its GDP (Gross Domestic Product) to R&D (Research and Development), which is the closest to the AU’s (African Union’s) suggested 1%. Countries such as Lesotho and Madagascar ranked as 0%, while the R&D expenditure for 24 African countries is unknown. In addition to this, science globally has become fully dependent on stable ICT (Information and Communication Technologies) infrastructure, which includes connectivity/bandwidth, high performance computing facilities and data services. This is especially applicable since countries globally are finding themselves in the midst of the 4th Industrial Revolution (4IR), which is not only “about” data, but which “is” data. According to an article1 by Alan Marcus (2015) (Senior Director, Head of Information Technology and Telecommunications Industries, World Economic Forum), “At its core, data represents a post-industrial opportunity. Its uses have unprecedented complexity, velocity and global reach. As digital communications become ubiquitous, data will rule in a world where nearly everyone and everything is connected in real time. That will require a highly reliable, secure and available infrastructure at its core, and innovation at the edge.” Every industry is affected as part of this revolution – also science. An important component of the digital transformation is “trust” – people must be able to trust that governments and all other industries (including the science sector), adequately handle and protect their data. This requires accountability on a global level, and digital industries must embrace the change and go for a higher standard of protection. “This will reassure consumers and citizens, benefitting the whole digital economy”, says Marcus. A stable and secure information and communication technologies (ICT) infrastructure – currently provided by the National Research and Education Networks (NRENs) – is key to advance collaboration in science. The AfricaConnect2 project (AfricaConnect (2012–2014) and AfricaConnect2 (2016–2018)) through establishing connectivity between National Research and Education Networks (NRENs), is planning to roll out AfricaConnect3 by the end of 2019. The concern however is that selected African governments (with the exception of a few countries such as South Africa, Mozambique, Ethiopia and others) have low awareness of the impact the Internet has today on all societal levels, how much ICT (and the 4th Industrial Revolution) have affected research, and the added value an NREN can bring to higher education and research in addressing the respective needs, which is far more complex than simply providing connectivity. Apart from more commitment and investment in R&D, African governments – to become and remain part of the 4th Industrial Revolution – have no option other than to acknowledge and commit to the role NRENs play in advancing science towards addressing the SDG (Sustainable Development Goals). For successful collaboration and direction, it is fundamental that policies within one country are aligned with one another. Alignment on continental level is crucial for the future Pan-African African Open Science Platform to be successful. Both the HIPSSA ((Harmonization of ICT Policies in Sub-Saharan Africa)3 project and WATRA (the West Africa Telecommunications Regulators Assembly)4, have made progress towards the regulation of the telecom sector, and in particular of bottlenecks which curb the development of competition among ISPs. A study under HIPSSA identified potential bottlenecks in access at an affordable price to the international capacity of submarine cables and suggested means and tools used by regulators to remedy them. Work on the recommended measures and making them operational continues in collaboration with WATRA. In addition to sufficient bandwidth and connectivity, high-performance computing facilities and services in support of data sharing are also required. The South African National Integrated Cyberinfrastructure System5 (NICIS) has made great progress in planning and setting up a cyberinfrastructure ecosystem in support of collaborative science and data sharing. The regional Southern African Development Community6 (SADC) Cyber-infrastructure Framework provides a valuable roadmap towards high-speed Internet, developing human capacity and skills in ICT technologies, high- performance computing and more. The following countries have been identified as having high-performance computing facilities, some as a result of the Square Kilometre Array7 (SKA) partnership: Botswana, Ghana, Kenya, Madagascar, Mozambique, Mauritius, Namibia, South Africa, Tunisia, and Zambia. More and more NRENs – especially the Level 6 NRENs 8 (Algeria, Egypt, Kenya, South Africa, and recently Zambia) – are exploring offering additional services; also in support of data sharing and transfer. The following NRENs already allow for running data-intensive applications and sharing of high-end computing assets, bio-modelling and computation on high-performance/ supercomputers: KENET (Kenya), TENET (South Africa), RENU (Uganda), ZAMREN (Zambia), EUN (Egypt) and ARN (Algeria). Fifteen higher education training institutions from eight African countries (Botswana, Benin, Kenya, Nigeria, Rwanda, South Africa, Sudan, and Tanzania) have been identified as offering formal courses on data science. In addition to formal degrees, a number of international short courses have been developed and free international online courses are also available as an option to build capacity and integrate as part of curricula. The small number of higher education or research intensive institutions offering data science is however insufficient, and there is a desperate need for more training in data science. The CODATA-RDA Schools of Research Data Science aim at addressing the continental need for foundational data skills across all disciplines, along with training conducted by The Carpentries 9 programme (specifically Data Carpentry 10 ). Thus far, CODATA-RDA schools in collaboration with AOSP, integrating content from Data Carpentry, were presented in Rwanda (in 2018), and during17-29 June 2019, in Ethiopia. Awareness regarding Open Science (including Open Data) is evident through the 12 Open Science-related Open Access/Open Data/Open Science declarations and agreements endorsed or signed by African governments; 200 Open Access journals from Africa registered on the Directory of Open Access Journals (DOAJ); 174 Open Access institutional research repositories registered on openDOAR (Directory of Open Access Repositories); 33 Open Access/Open Science policies registered on ROARMAP (Registry of Open Access Repository Mandates and Policies); 24 data repositories registered with the Registry of Data Repositories (re3data.org) (although the pilot project identified 66 research data repositories); and one data repository assigned the CoreTrustSeal. Although this is a start, far more needs to be done to align African data curation and research practices with global standards. Funding to conduct research remains a challenge. African researchers mostly fund their own research, and there are little incentives for them to make their research and accompanying data sets openly accessible. Funding and peer recognition, along with an enabling research environment conducive for research, are regarded as major incentives. The landscape report concludes with a number of concerns towards sharing research data openly, as well as challenges in terms of Open Data policy, ICT infrastructure supportive of data sharing, capacity building, lack of skills, and the need for incentives. Although great progress has been made in terms of Open Science and Open Data practices, more awareness needs to be created and further advocacy efforts are required for buy-in from African governments. A federated African Open Science Platform (AOSP) will not only encourage more collaboration among researchers in addressing the SDGs, but it will also benefit the many stakeholders identified as part of the pilot phase. The time is now, for governments in Africa, to acknowledge the important role of science in general, but specifically Open Science and Open Data, through developing and aligning the relevant policies, investing in an ICT infrastructure conducive for data sharing through committing funding to making NRENs financially sustainable, incentivising open research practices by scientists, and creating opportunities for more scientists and stakeholders across all disciplines to be trained in data management.
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