Academic literature on the topic 'Service-Oriented IoT'
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Journal articles on the topic "Service-Oriented IoT"
NEMOTO, Yutaro. "Towards well-being-oriented IoT service design." Proceedings of Design & Systems Conference 2018.28 (2018): 1407. http://dx.doi.org/10.1299/jsmedsd.2018.28.1407.
Full textHesham, Omar, Ashraf Salem, and Bassem Abdullah. "Secured Service Oriented Communication in V2X Technology." WSEAS TRANSACTIONS ON COMMUNICATIONS 22 (December 31, 2023): 211–21. http://dx.doi.org/10.37394/23204.2023.22.22.
Full textGiao, Joao, Artem A. Nazarenko, Fernando Luis-Ferreira, Diogo Gonçalves, and Joao Sarraipa. "A Framework for Service-Oriented Architecture (SOA)-Based IoT Application Development." Processes 10, no. 9 (September 5, 2022): 1782. http://dx.doi.org/10.3390/pr10091782.
Full textSim, Sungho, and Hanyong Choi. "A study on the service discovery support method in the IoT environments." International Journal of Electrical Engineering & Education 57, no. 1 (December 5, 2018): 85–96. http://dx.doi.org/10.1177/0020720918813824.
Full textIrawan, Yuda, Chrismondari, Yolnasdi, Ari Linarta, Muhardi, and Anita Febriani. "Smart Home Light Based Service Oriented Architecture and IoT." Journal of Physics: Conference Series 1845, no. 1 (March 1, 2021): 012070. http://dx.doi.org/10.1088/1742-6596/1845/1/012070.
Full textChen, Jiachen, Sugang Li, Haoyang Yu, Yanyong Zhang, Dipankar Raychaudhuri, Ravishankar Ravindran, Hongju Gao, Lijun Dong, Guoqiang Wang, and Hang Liu. "Exploiting ICN for Realizing Service-Oriented Communication in IoT." IEEE Communications Magazine 54, no. 12 (December 2016): 24–30. http://dx.doi.org/10.1109/mcom.2016.1600405cm.
Full textZou, Yiqin, and Li Quan. "A new service-oriented grid-based method for AIoT application and implementation." Modern Physics Letters B 31, no. 19-21 (July 27, 2017): 1740064. http://dx.doi.org/10.1142/s0217984917400644.
Full textXie, Huan, Qiuming Zhang, Shu Du, Yang Yang, Xue Wu, Peng Qin, Runze Wu, and Xiongwen Zhao. "Study of Resource Allocation for 5G URLLC/eMBB-Oriented Power Hybrid Service." Sensors 23, no. 8 (April 11, 2023): 3884. http://dx.doi.org/10.3390/s23083884.
Full textMongay Batalla, Jordi, Mariusz Gajewski, Waldemar Latoszek, Piotr Krawiec, Constandinos X. Mavromoustakis, and George Mastorakis. "ID-based service-oriented communications for unified access to IoT." Computers & Electrical Engineering 52 (May 2016): 98–113. http://dx.doi.org/10.1016/j.compeleceng.2016.02.020.
Full textBadawy, Mahmoud M., Zainab H. Ali, and Hesham A. Ali. "QoS provisioning framework for service-oriented internet of things (IoT)." Cluster Computing 23, no. 2 (June 1, 2019): 575–91. http://dx.doi.org/10.1007/s10586-019-02945-x.
Full textDissertations / Theses on the topic "Service-Oriented IoT"
Souza, Vitor Barbosa Carlos de. "Mechanisms for service-oriented resource allocation in IoT." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/461387.
Full textAunque son ya varias las aplicaciones que se han desarrollado en el área de IoT, especialmente en el campo ambiental, Smart Home o Smart Health, las implementaciones actuales son en su mayoría ¿host-oriented¿, lo que sin duda limita sus potenciales beneficios. Una posible estrategia para reducir esos efectos negativos se centra en que las futuras aplicaciones se beneficien de las comunicaciones orientadas a servicios, ¿service-oriented¿, donde el establecimiento de comunicación entre puntos finales no depende del conocimiento previo de los hosts a cargo de proporcionar la ejecución del servicio. En este escenario, una solicitud de ejecución de servicio se asigna a los recursos más adecuados capaces de proporcionar el servicio solicitado. Este modelo se considera clave para el despliegue de futuros servicios en Smart Cities, e-Health, Intelligent Transportation Systems, etc. Reconocidos los beneficios de este modelo en las aplicaciones futuras, un substancial esfuerzo de investigación es necesario para abordar varios desafíos aún no resueltos, como los surgidos por la alta dinámica y heterogeneidad inherente a estos escenarios. De hecho, la comunicación service-oriented requiere una vista actualizada de los recursos disponibles, así como la asignación de solicitudes de servicio en los recursos más adecuados teniendo en cuenta varias restricciones y requisitos. Esta tesis tiene como objetivo proponer y evaluar mecanismos para la asignación eficiente de recursos en escenarios IoT orientados a servicios a través del empleo de dos tecnologías básicas distintas. En el primer enfoque, el llamado Path Computation Element (PCE), diseñado para desacoplar la función de enrutamiento de los conmutadores GMPLS hacia un elemento centralizado, se extiende generando la arquitectura service-oriented PCE (S-PCE). En S-PCE se utiliza un identificador de servicio (SID) para identificar el servicio requerido por un usuario final, y la solicitud se asigna, bien a uno o bien a un conjunto de recursos, mediante un esquema de asignación de 2 pasos que permite la selección de los recursos adecuados, evitando la interrupción del servicio debido a posibles cambios en la ubicación de los recursos. Mientras tanto, el inicio de Fog computing, como una extensión de Cloud computing, basado conceptualmente en aprovechar la infraestructura y los recursos inactivos en el extremo de la red a través de su organización como micro data centers (MDC), ha supuesto la reducción de la latencia de la red para los servicios lanzados por dispositivos localizados en el extremo de la red, reduciendo el tráfico en el centro de la red (backbone) así como el consumo de energía, además de otros beneficios. Asumiendo las ventajas de la utilización distribuida y coordinada de los recursos fog y cloud, la arquitectura Fog-to-Cloud (F2C) ha sido recientemente propuesta, destinada a potenciar la asignación distribuida de servicios en los recursos más adecuados, sea en cloud, fog o ambos. Dado que las futuras aplicaciones IoT deben presentar demandas que podrían ser satisfechas a través de una solución alineada con la arquitectura F2C, el segundo enfoque para la asignación de recurso orientado a servicio, considerado en esta tesis, tiene como objetivo proporcionar una asignación de recursos mediante el despliegue de una topología F2C, donde los recursos se distribuyen lógicamente en capas que proporcionan características distintas en términos de latencia de red, probabilidad de interrupción, etc. Así, se proponen distintas estrategias para la distribución de servicios, teniendo en cuenta características tales como QoS y consumo de energía. Con respecto a la necesidad de mecanismos de recuperación de fallos, se evalúan distintas estrategias para la asignación de recursos de protección en la jerarquía F2C. Además, se evalúa el impacto de la topología de control en capas sobre la asignación eficiente de recursos en F2C. Finalmente, las sugerencias para trabajos futuros son presentadas.
Souza, Vitor Barbosa. "Mechanisms for service-oriented resource allocation in IoT." Universidade Federal de Viçosa, 2018. http://www.locus.ufv.br/handle/123456789/19074.
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Albeit several IoT applications have been recently deployed in several fields, including environment and industry monitoring, Smart Home, Smart Hospital and Smart Agriculture, current deployments are mostly host-oriented, which is undoubtedly limiting the attained benefits brought up by IoT. Indeed, future IoT applications shall benefit from service - oriented communications, where the communication establishment between end-points is not dependent on prior knowledge of the host devices in charge of providing the service execution. Rather, an end-user service execution request is mapped into the most suitable resources able to provide the requested service. Furthermore, this model is a key enabler for the design of future services in Smart Cities, e-Health, Intelligent Transportation Systems, among other smart scenarios. Recognized the benefits of this model in future applications, considerable research effort must be devoted for addressing several challenges yet unsolved, such as the ones brought up by the high dynamicity and heterogeneity inherent to these scenarios. In fact, service-oriented communication requires an updated view of available resources, mapping service requests into the most suitable resources taking several constraints and requirements into account, resilience provisioning, QoS-aware service allocation, just to name a few. This thesis aims at proposing and evaluating mechanisms for efficient resource allocation in service-oriented IoT scenarios through the employment of two distinct baseline technologies. In the first approach, the so-called Path Computation Element (PCE), designed to decouple the host-oriented routing function from GMPLS switches in a centralized element, is extended to the service-oriented PCE (S-PCE) architecture, where a service identifier (SID) is used to identify the service required by an end-user. In this approach, the service request is mapped to one or a set of resources by a 2-steps mapping scheme that enables both selection of suitable resources according to request and resources characteristics, and avoidance of service disruption due to possible changes on resources’ location. In the meantime, the inception of fog computing, as an extension of the cloud computing concept, leveraging idle computing resources at the edge of the network through their organization as highly virtualized micro data centers (MDC) enabled the reduction on the network latency observed by services launched at edge devices, further reducing the traffic at the core network and the energy consumption by network and cloud data center equipment, besides other benefits. Envisioning the benefits of the distributed and coordinated employment of both fog and cloud resources, the Fog-to-Cloud (F2C) architecture has been recently proposed, further empowering the distributed allocation of services into the most suitable resources, be it in cloud, fog or both. Since future IoT applications shall present strict demands that may be satisfied through a combined fog-cloud solution, aligned to the F2C architecture, the second approach for the service-oriented resource allocation, considered in this thesis, aims at providing QoS -aware resource allocation through the deployment of a hierarchical F2C topology, where resource are logically distributed into layers providing distinct characteristics in terms of network latency, disruption probability, IT power, etc. Therefore, distinct strategies for service distribution in F2C architectures, taking into consideration features such as service transmission delay, energy consumption and network load. Concerning the need for failure recovery mechanisms, distinct demands of heterogeneous services are considered in order to assess distinct strategies for allocation of protection resources in the F2C hierarchy. In addition, the impact of the layered control topology on the efficient allocation of resources in F2C is further evaluated. Finally, avenues for future work are presented.
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Su, Runbo. "Trust Management in Service-Oriented Internet of Things (SO-IoT)." Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0054.
Full textUnlike Trust in Social Science, in which interactions between humans are measured, thanks to the integration of numerous smart devices, Trust in IoT security focuses more on interactions between nodes. Moreover, As IoT nodes can somehow benefit from 'Group'/'Community' since they form by similar interests or functionalities, the assessment of Group-Individual and Inter-Individual Trust is also important. However, handling limitations brought by potential threats and inherent vulnerability due to TM architecture remains challenging. This thesis investigates Trust from three perspectives in the Service-Oriented Internet of Things (SO-IoT): Inter-Group Trust, Group-Individual Trust, and Inter-Individual Trust. Firstly, a role-based dynamic model is developed to assess intra- and inter-community(group), enhancing service-oriented activities and addressing security issues within and between communities. A locally centralized four-phase approach is employed, focusing on countermeasures against attacks on services within the community. Additionally, a three-phase mechanism is devised to measure cooperativeness between communities. An implementation based on the ROS 2 system was implemented to analyze the performance of the proposed model based on the preliminary results. Secondly, to address misbehavior in SO-IoT in terms of Inter-Individual trust, a Stochastic Bayesian Game (SBG) is introduced, which considers the heterogeneity of IoT nodes, and complex behavioral schemes of service providers are incorporated, encouraging cooperation and penalizing malicious strategical actions. Lastly, the work of assessing the Trust of V2X messages in IoV demonstrates the possibility of implementing Trust Management in a concrete IoT environment
Garzone, Guillaume. "Approche de gestion orientée service pour l'Internet des objets (IoT) considérant la Qualité de Service (QoS)." Thesis, Toulouse, INSA, 2018. http://www.theses.fr/2018ISAT0027/document.
Full textThe Internet of Things (IoT) is already everywhere today: home automation, connected buildings or smart city, many initiatives and innovations are ongoing and yet to come. The number of connected objects continues to grow to the point that billions of objects are expected in the near future.The approach of this thesis sets up an autonomic management architecture for systems based on connected objects, combining them with other services such as weather services accessible on the Internet. The proposed models enable an autonomous decision making based on the analysis of events and the planning of actions executed automatically. Parameters such as execution time or consumed energy are also considered in order to optimize the choices of actions to be performed and of services used. A concrete prototype was realized in a smart city scenario with connected buses in the investment for future project: S2C2
Rönnholm, Jesper. "Integration of OPC Unified Architecture with IIoT Communication Protocols in an Arrowhead Translator." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70347.
Full textRodríguez, Loya Salvador. "A standards-based ICT framework to enable a service-oriented approach to clinical decision support." Thesis, University of Sussex, 2015. http://sro.sussex.ac.uk/id/eprint/53243/.
Full textAlt, Raphael, Peter Wintersohle, Hartmut Schweizer, Martin Wollschläger, and Katharina Schmitz. "Interoperable information model of a pneumatic handling system for plug-and-produce." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71175.
Full textFerreira, Diogo Matos. "Framework for IoT Service Oriented Systems." Master's thesis, 2017. http://hdl.handle.net/10362/34368.
Full textBENOMAR, ZAKARIA. "A service-oriented architecture for IoT infrastructure and Fog-minded DevOps." Doctoral thesis, 2022. http://hdl.handle.net/11570/3222280.
Full textSHARF, MAHMOUD. "Towards an innovative service digitalization in smart spaces: a user-oriented approach." Doctoral thesis, 2020. http://hdl.handle.net/11573/1365235.
Full textBooks on the topic "Service-Oriented IoT"
Gruzdeva, Viktoriya, Georgiy Gruzdev, Yuliya Klyueva, and Vlada Konova. Development of the service sector based on a customer-oriented approach. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1977989.
Full textShul'zhenko, Tat'yana, Andrey Zhuk, and Dar'ya Ivanova. Logistics of new urban mobility: a value-oriented approach. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1971850.
Full textMurashko, Mikhail, Igor Ivanov, and Nadezhda Knyazyuk. THE BASICS OF MEDICAL CARE QUALITY AND SAFETY PROVISION. ru: Advertising and Information Agency "Standards and quality», 2020. http://dx.doi.org/10.35400/978-5-600-02711-4.
Full textChen, Yinong. Service-Oriented Computing and System Integration: Software IoT Big Data and AI As Services. Kendall Hunt Publishing Company, 2017.
Find full textChen, Yinong. Service-Oriented Computing and System Integration: Software, IoT, Big Data, and AI As Services. Kendall Hunt Publishing Company, 2020.
Find full textLuca, Gennaro de, and Yinong Chen. Service-Oriented Computing and System Integration: Software, IoT, Big Data, and AI As Services. Kendall Hunt Publishing Company, 2021.
Find full textService-Oriented Computing and System Integration: Software IoT Big Data and AI As Services. Kendall Hunt Publishing Company, 2021.
Find full textMotta, Gianmario, Antonino Mazzeo, and Roberto Bellini. E-Government ICT Professionalism and Competences Service Science: IFIP 20th World Computer Congress, Industry Oriented Conferences, September 7-10, ... and Communication Technology ). Springer, 2010.
Find full textSmalskys, Vainius, and Jolanta Urbanovič. Civil Service Systems. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228637.013.160.
Full textPupo, Raul. America’s Service Meltdown. ABC-CLIO, LLC, 2010. http://dx.doi.org/10.5040/9798400610165.
Full textBook chapters on the topic "Service-Oriented IoT"
Huang, Bing, Athman Bouguettaya, and Azadeh Ghari Neiat. "Convenience-Based Periodic Composition of IoT Services." In Service-Oriented Computing, 660–78. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03596-9_48.
Full textAbusafia, Amani, Athman Bouguettaya, and Abdallah Lakhdari. "Maximizing Consumer Satisfaction of IoT Energy Services." In Service-Oriented Computing, 395–412. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20984-0_28.
Full textAbusafia, Amani, Athman Bouguettaya, Abdallah Lakhdari, and Sami Yangui. "Context-Aware Trustworthy IoT Energy Services Provisioning." In Service-Oriented Computing, 167–85. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48424-7_13.
Full textLakhdari, Abdallah, and Athman Bouguettaya. "Fairness-Aware Crowdsourcing of IoT Energy Services." In Service-Oriented Computing, 351–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91431-8_22.
Full textTruong, Hong-Linh, Georgiana Copil, Schahram Dustdar, Duc-Hung Le, Daniel Moldovan, and Stefan Nastic. "On Engineering Analytics for Elastic IoT Cloud Platforms." In Service-Oriented Computing, 267–81. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46295-0_17.
Full textDel Gaudio, Daniel, and Pascal Hirmer. "Towards Feedback Loops in Model-Driven IoT Applications." In Service-Oriented Computing, 100–108. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87568-8_6.
Full textAlkhabbas, Fahed, Martina De Sanctis, Romina Spalazzese, Antonio Bucchiarone, Paul Davidsson, and Annapaola Marconi. "Enacting Emergent Configurations in the IoT Through Domain Objects." In Service-Oriented Computing, 279–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03596-9_19.
Full textAquino, Gibeon, Rafael Queiroz, Geoff Merrett, and Bashir Al-Hashimi. "The Circuit Breaker Pattern Targeted to Future IoT Applications." In Service-Oriented Computing, 390–96. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33702-5_30.
Full textMassa, Jacopo, Stefano Forti, and Antonio Brogi. "Data-Aware Service Placement in the Cloud-IoT Continuum." In Service-Oriented Computing, 139–58. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18304-1_8.
Full textSchneider, Jan, and Pascal Hirmer. "Enhancing IoT Platforms for Autonomous Device Discovery and Selection." In Service-Oriented Computing, 24–44. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18304-1_2.
Full textConference papers on the topic "Service-Oriented IoT"
Georgakopoulos, Dimitrios, Prem Prakash Jayaraman, Miranda Zhang, and Rajiv Ranjan. "Discovery-Driven Service Oriented IoT Architecture." In 2015 IEEE Conference on Collaboration and Internet Computing (CIC). IEEE, 2015. http://dx.doi.org/10.1109/cic.2015.34.
Full textVoas, Jeff, Rick Kuhn, and Phil Laplante. "Testing IoT Systems." In 2018 IEEE Symposium on Service-Oriented System Engineering (SOSE). IEEE, 2018. http://dx.doi.org/10.1109/sose.2018.00015.
Full textM S, Roopa, Puneetha, Vishwas, RajKumar Buyya, Venugopal, Iyengar, and Patnaik. "Trust Management for Service-Oriented SIoT Systems." In ICIT 2020: IoT and Smart City. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3446999.3447635.
Full textLam, An Ngoc, and Oystein Haugen. "Applying semantics into Service-oriented IoT Framework." In 2019 IEEE 17th International Conference on Industrial Informatics (INDIN). IEEE, 2019. http://dx.doi.org/10.1109/indin41052.2019.8972295.
Full textAlsaig, Alaa, and Vangalur Alagar. "Dependable Service-Oriented Design of Healthcare IoT." In 2023 IEEE International Conference on Smart Internet of Things (SmartIoT). IEEE, 2023. http://dx.doi.org/10.1109/smartiot58732.2023.00046.
Full textPapulovskaya, Nataliya, Ilya Izotov, and Pavel Orekhov. "Implementing IoT Systems in Service-Oriented Architecture." In 2019 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). IEEE, 2019. http://dx.doi.org/10.1109/usbereit.2019.8736593.
Full textSharma, Aditi, Manvitha Gali, Aditya Mahamkali, K. Raghavendra Prasad, Pavitar Parkash Singh, and Amit Mittal. "IoT-enabled Secure Service-Oriented Architecture (IOT-SOA) through Blockchain." In 2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon). IEEE, 2023. http://dx.doi.org/10.1109/smarttechcon57526.2023.10391590.
Full textPeng, Xuesong, and Barbara Pernici. "A service diagnosis and adaptation scheme in service-oriented IoT." In 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI). IEEE, 2016. http://dx.doi.org/10.1109/rtsi.2016.7740547.
Full textLu, Duo, Dijiang Huang, Andrew Walenstein, and Deep Medhi. "A Secure Microservice Framework for IoT." In 2017 IEEE Symposium on Service-Oriented System Engineering (SOSE). IEEE, 2017. http://dx.doi.org/10.1109/sose.2017.27.
Full textWu, Yu, and Minbo Li. "An IoT Middleware of Data Service." In 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA). IEEE, 2018. http://dx.doi.org/10.1109/soca.2018.00025.
Full textReports on the topic "Service-Oriented IoT"
Omondi Okwany, Clifford Collins. Territoriality as a Method for Understanding Armed Groups in Kenya and Strengthening Policy Responses. RESOLVE Network, January 2023. http://dx.doi.org/10.37805/pn2023.1.lpbi.
Full textBuick, Fiona, Miriam Glennie, Helen Dickinson, Deborah Blackman, Sue Williamson, Vindhya Weeratunga, and Massimiliano Tani. Flexible working in the Australian Capital Territory (ACTPS). Australia and New Zealand School of Government, September 2022. http://dx.doi.org/10.54810/gwen3105.
Full textShyshkina, Mariya P. The use of the cloud services to support the math teachers training. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3897.
Full textBrandt, Sebastian, Ralf Küsters, and Anni-Yasmin Turhan. Approximation and Difference in Description Logics. Aachen University of Technology, 2001. http://dx.doi.org/10.25368/2022.116.
Full textGallego, Juan Miguel, and Luis H. Gutiérrez. ICTs in Latin American and the Caribbean Firms: Stylized Facts, Programs and Policies: Knowledge Sharing Forum on Development Experiences: Comparative Experiences of Korea and Latin America and the Ca. Inter-American Development Bank, July 2015. http://dx.doi.org/10.18235/0007003.
Full textWiseman, Jane. Innovations in Public Service Delivery: Issue No. 5: Improving Service Delivery through Information Integration: Building a Single View of the Citizen. Inter-American Development Bank, March 2017. http://dx.doi.org/10.18235/0007030.
Full textRegan, Jack, and Robin Zevotek. Study of the Fire Service Training Environment: Safety and Fidelity in Concrete Live Fire Training Buildings. UL Firefighter Safety Research Institute, July 2018. http://dx.doi.org/10.54206/102376/wxtw8877.
Full textLeis, B. N., and N. D. Ghadiali. L51720 Pipe Axial Flaw Failure Criteria - PAFFC Version 1.0 Users Manual and Software. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), May 1994. http://dx.doi.org/10.55274/r0011357.
Full textMuldavin, Esteban, Yvonne Chauvin, Teri Neville, Hannah Varani, Jacqueline Smith, Paul Neville, and Tani Hubbard. A vegetation classi?cation and map: Guadalupe Mountains National Park. National Park Service, 2024. http://dx.doi.org/10.36967/2302855.
Full textProfile of clients of different providers of family planning services in Egypt. Social Planning, Analysis & Administration Consultants (SPAAC), 1994. http://dx.doi.org/10.31899/rh1994.1006.
Full text