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Journal articles on the topic 'Artificial satellites in telecommunication'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 July 2024

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1

Almalki, Faris A., and Soufiene Ben Othman. "Predicting Joint Effects on CubeSats to Enhance Internet of Things in GCC Region Using Artificial Neural Network." Mobile Information Systems 2021 (November 25, 2021): 1–16. http://dx.doi.org/10.1155/2021/1827155.

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Satellite telecommunication systems promise to bridge digital gaps and deliver wireless communication services to any corner of the world. However, despite satellites’ global connectivity and wide footprint, still atmospheric and dust impairments are open challenges that face satellite systems, especially at high-frequency bands in arid and semiarid regions. Therefore, this paper aims to predict joint effects of atmospheric and dust attenuations in Gulf Cooperation Council (GCC) countries on CubeSat communications using Artificial Neural Network (ANN). The prediction model has been carried out using a massive Multiple-Input Multiple-Output (MIMO) antenna payload at K-frequency Bands. Consider these joint effects have positive relations in calculating satellites link margin, which leads to obtaining efficient communication system, delivering better quality of service (QoS), and enhancing Internet of Things (IoT) connectivity, or even Internet of Space Things (IoST). Predicated results infer that the ANN attenuation predictions, along with the 5G MIMO antenna on-board the CubeSat, offer much promise channel model for satellite communications, which in turn leads to not only supporting IoT connectivity but also reducing power consumption, thus enhancing lifetime of CubeSat. Also, this study can provide a reference for CubeSat engineers to guarantee large-capacity communication.

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Blumberg, R. S., V. V. Sukhotin, and O. I. Sizykh. "Method of determining the coordinates of the radio signal source in satellite communication systems." Spacecrafts & Technologies 7, no. 1 (March 24, 2023): 60–67. http://dx.doi.org/10.26732/j.st.2023.1.07.

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Telecommunications have penetrated deeply into all spheres of human activity. Due to the use of digital technologies, it has become possible to transmit and receive information of various kinds in one stream (not separately). Three geostationary satellites are sufficient to provide data transmission from anywhere in the world to another point using artificial Earth satellites. Data transmission systems using the satellite should contain at least two Earth Stations and a repeater of the communication satellite. There are no means of combating any types of artificial interference in the Earth Stations equipment. The jammer, an illegitimate user, can emit a signal from any point in space within a telecommunications satellite system. The paper provides an analysis of existing methods for determining the coordinates of a radio signal source, describes a method for determining the coordinates of an radio signal source (illegitimate user) in satellite telecommunications systems using a geostationary spacecraft. The development was based on a three-position virtual antenna array, the positions of which determined the base of an irregular tetrahedron, and the radio signal source itself was its vertex. In the course of the solution, canonical equations of straight lines in space were compiled, at the intersection point of which the source of the radio signal is located. The coordinates of the radio signal source were the roots of the system, when finding the unit vectors lying on these lines.

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Terentieva, Liudmila. "The Issue of State Sovereignty in Cyberspace." Legal Issues in the Digital Age 2, no. 2 (July 27, 2021): 49–69. http://dx.doi.org/10.17323/2713-2749.2021.2.49.67.

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The author examines a special approach to establishing the sovereignty of the state in relation to cyberspace, the extraterritorial characteristics of which determine the question of the implementation of the territorial supremacy of the state. The author concludes that the understanding of the state’s sovereignty in relation to cyberspace lies not in detailing a set of measures in the form of sovereign powers undertaken in this area, but in constructing the boundaries of cyberspace both in relation to the technical component of the network infrastructure that supports the smooth functioning of the Network, and in in relation to the virtual component of cyberspace. To achieve the goal of the study, the author proposed to combine social, technological and subjective approaches, understanding by cyberspace an artificial telecommunication environment for the implementation of public relations controlled by a wide range of subjects (states, intergovernmental organizations, non-governmental organizations, individuals, etc.), the functioning and maintenance of which is carried out by means of software-technical infrastructure in the form of its physical part (telecommunication networks, computers, servers, routers, processors, satellites, etc.) and a virtual part (operating systems, data transmission standards, hardware applications, software, etc.).

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Thosar, Rutuja S. "REVIEW ON SATELLITE COMMUNICATION." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (May 14, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem33919.

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Satellite communication, an unprecedented invention, has completely altered global connectivity, serving as a backbone various sectors, such as like telecommunication, broadcasting, navigation, and remote sensing. The abstract will delineate the intriguing history of satellite communications and satellite orbits. Additionally, the abstract provides, when using artificial intelligence, it can potentially offer opportunities for enhanced performances, efficiency, and adaptability. In this review paper, we have discussing the numerous challenges facing satellite communication. The complexities surrounding satellite communication continue to present significant hurdles in terms, to both technical and operational aspects, thus impacting the overall efficacy, and reliability of satellite-based systems. Moreover, the integration of advanced technologies like artificial intelligence, machine learning, and blockchain may offer potential solutions to mitigate these challenges, paving the way for enhanced performances and increased efficiency. This review aims is to shed light on the current landscape of satellite communication by identifying critical issues and proposing innovative strategies for overcoming them. Keywords: Satellite communication, Artificial intelligence, Satellite orbits, Advancement, Satellite history.

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Nneka Adaobi Ochuba, Enyinaya Stefano Okafor, Olatunji Akinrinola, Favour Oluwadamilare Usman, and Olukunle Oladipupo Amoo. "STRATEGIC PARTNERSHIPS IN THE SATELLITE AND TELECOMMUNICATIONS SECTORS: A CONCEPTUAL REVIEW OF DATA ANALYTICS-ENABLED IDENTIFICATION AND CAPITALIZATION OF SYNERGIES." Engineering Science & Technology Journal 5, no. 3 (March 10, 2024): 716–27. http://dx.doi.org/10.51594/estj.v5i3.867.

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Strategic partnerships in the satellite and telecommunications sectors have become increasingly vital as technological advancements and market complexities continue to evolve. This conceptual review delves into the significance of data analytics-enabled identification and capitalization of synergies within these partnerships. The fusion of satellite and telecommunications technologies presents unique opportunities for innovation and growth, but also challenges that necessitate strategic collaboration. By leveraging data analytics, organizations can effectively identify synergies between satellite and telecommunications services, leading to enhanced operational efficiencies, expanded service offerings, and improved customer experiences. Through a comprehensive analysis of available data, companies can pinpoint areas of overlap and complementary strengths, laying the foundation for mutually beneficial partnerships. The review explores the multifaceted nature of strategic partnerships in these sectors, emphasizing the importance of aligning technological capabilities, market strategies, and regulatory frameworks. It underscores the role of data analytics as a catalyst for informed decision-making, enabling stakeholders to anticipate market trends, optimize resource allocation, and mitigate risks. Furthermore, the review examines the implications of emerging technologies such as artificial intelligence, machine learning, and predictive analytics on partnership dynamics. These tools not only streamline data analysis processes but also empower organizations to proactively identify synergistic opportunities and adapt to evolving market dynamics in real-time. Through a synthesis of theoretical frameworks and empirical evidence, this review provides insights into the strategic imperatives guiding partnership formation and management in the satellite and telecommunications sectors. It underscores the need for a holistic approach that integrates technological expertise with business acumen and regulatory compliance to unlock the full potential of strategic collaborations. The review advocates for a proactive and data-driven approach to identifying and capitalizing on synergies within strategic partnerships in the satellite and telecommunications sectors. By harnessing the power of data analytics, organizations can navigate the complexities of the digital ecosystem, drive innovation, and achieve sustainable competitive advantage in an increasingly interconnected world. Keywords: Partnership, Telecommunication, Data Analytics, Capitalization, Enabled Identification, Review.

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Gao, Minjun, Junhui Meng, Nuo Ma, Moning Li, and Li Liu. "Artificial neural network–based constitutive relation modelling for the laminated fabric used in stratospheric airship." Composites and Advanced Materials 31 (January 2022): 263498332110731. http://dx.doi.org/10.1177/26349833211073146.

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There have been gradually increasing interests in the stratospheric airship (SSA) as a cost-effective alternative to earth orbit satellites for telecommunication and high-resolution earth observation. Lightweight and high strength envelopes are the keys to the design of SSAs as it directly determines the endurance flight performance and loading deformation characteristics of the airship. Typical SSA envelope material is a laminated fabric, which is composed of fabric layer and other functional layers. Compared with conventional composite structures, the laminated fabric has complex nonlinear mechanical characteristics. Artificial neural network (ANN) has good processing ability to nonlinear information so that it is suitable to model the constitutive relation of laminated fabrics. In this work, an ANN based on the Scaled Conjugate Gradient (SCG) algorithm is proposed firstly to model the constitutive relation of fabric Uretek3216LV. Considering significant errors of the SCG ANN results, the network model is optimized through methods of selecting the number of hidden-layer nodes and training algorithms. Results show that the improved network model based on Bayesian Regularization (BR) algorithm and eight nodes of single hidden layer can better describe the constitutive relation of the laminated fabric than other conventional training algorithms. The proposed constitutive modelling method with ANN is expected to gain a deeper understanding of the mechanical mechanism and guide structural design of envelope material in further work.

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Terasawa, Ikuo. "Challenge Study: A Project-Based Learning on a Wireless Communication System at Technical High School." Higher Education Studies 6, no. 1 (January 11, 2016): 110. http://dx.doi.org/10.5539/hes.v6n1p110.

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<p>The challenge study is a project based learning curriculum at Technical High School aimed at the construction ofawireless communication system. The first period was engineering issues in the construction of an artificial satellite and the second period was apositional locating system based on the general purpose wire-less device—ZigBee device. The effectiveness of the program was evaluated on the basis of participants’ satisfaction and a metamorphosis in the learning and understanding of wire-less telecommunication technology.</p>

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Rizwanullah, Mohammed, Hanan Abdullah Mengash, Mohammad Alamgeer, Khaled Tarmissi, Amira Sayed A. Aziz, Amgad Atta Abdelmageed, Mohamed Ibrahim Alsaid, and Mohamed I. Eldesouki. "Modelling of Metaheuristics with Machine Learning-Enabled Cybersecurity in Unmanned Aerial Vehicles." Sustainability 14, no. 24 (December 14, 2022): 16741. http://dx.doi.org/10.3390/su142416741.

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The adoption and recent development of Unmanned Aerial Vehicles (UAVs) are because of their widespread applications in the private and public sectors, from logistics to environment monitoring. The incorporation of 5G technologies, satellites, and UAVs has provoked telecommunication networks to advance to provide more stable and high-quality services to remote areas. However, UAVs are vulnerable to cyberattacks because of the rapidly expanding volume and poor inbuilt security. Cyber security and the detection of cyber threats might considerably benefit from the development of artificial intelligence. A machine learning algorithm can be trained to search for attacks that may be similar to other types of attacks. This study proposes a new approach: metaheuristics with machine learning-enabled cybersecurity in unmanned aerial vehicles (MMLCS-UAVs). The presented MMLCS-UAV technique mainly focuses on the recognition and classification of intrusions in the UAV network. To obtain this, the presented MMLCS-UAV technique designed a quantum invasive weed optimization-based feature selection (QIWO-FS) method to select the optimal feature subsets. For intrusion detection, the MMLCS-UAV technique applied a weighted regularized extreme learning machine (WRELM) algorithm with swallow swarm optimization (SSO) as a parameter tuning model. The experimental validation of the MMLCS-UAV method was tested using benchmark datasets. This widespread comparison study reports the superiority of the MMLCS-UAV technique over other existing approaches.

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Wang, Ling, and Zhengtang Guo. "Mission and challenges of higher education: an interview with G.Q. Max Lu, the president of the University of Surrey." National Science Review 7, no. 6 (June 1, 2020): 1108–13. http://dx.doi.org/10.1093/nsr/nwaa072.

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Abstract The University of Surrey (referred to as Surrey hereafter) is one of the renowned universities in the UK that was established on 9 September 1966 with the grant of its Royal Charter and its roots go back to Battersea Polytechnic Institute, founded in 1891. Surrey is the research hub of small satellites, mobile telecommunication and artificial intelligence in Europe. In 2016, Surrey was named as ‘University of the Year’ in the UK and, in February 2018, Surrey won the Queen's Anniversary Prize for Higher and Further Education (Surrey's fourth award)—the highest national award for the UK universities, in recognition of the outstanding contribution of Surrey to nutrition and health. The president and vice chancellor of Surrey, Professor Max Lu, took this position in 2016 and is also the first scholar of Chinese origin to be the leader of a British university. Before he joined Surrey, he was the provost and senior vice president at the University of Queensland in Australia. Professor Lu is not only a talented leader in education field, but also a distinguished scientist in materials chemistry and nanotechnology area. He has been honored with numerous awards, including the Orica Award, RK Murphy Medal, China International Science and Technology Award and Medal of the Order of Australia, etc. He has been also appointed to the Prime Minister's Council for Science and Technology and the Board of UK Research and Innovation, etc. The rich experience and open-mindedness lead to his profound insights into higher education around the world. Lately elected as a fellow of Royal Academy of Engineering (RAEng) and foreign member of the Chinese Academy of Sciences, Professor Lu shared his broad and deep perspectives on higher education with National Science Review during his travel in Beijing.

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10

Nneka Adaobi Ochuba, Enyinaya Stefano Okafor, Olatunji Akinrinola, Olukunle Oladipupo Amoo, and Favour Oluwadamilare Usman. "ENHANCING CUSTOMER SERVICE IN SATELLITE TELECOMMUNICATIONS: A REVIEW OF DATA-DRIVEN INSIGHTS AND METHODOLOGIES FOR PERSONALIZED SERVICE OFFERINGS." International Journal of Management & Entrepreneurship Research 6, no. 3 (March 7, 2024): 582–93. http://dx.doi.org/10.51594/ijmer.v6i3.846.

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Enhancing customer service in satellite telecommunications is a critical focus area for companies seeking to differentiate themselves in a competitive market. This Review reviews data-driven insights and methodologies aimed at delivering personalized service offerings to satellite telecommunications customers. Personalized service offerings leverage data analytics to tailor services to individual customer needs and preferences. By analyzing customer data, such as usage patterns, service history, and feedback, satellite telecommunications companies can gain valuable insights into customer behavior and preferences. These insights enable companies to offer customized services that meet the specific needs of each customer. Data-driven insights play a crucial role in enhancing customer service in satellite telecommunications. By analyzing customer data, companies can identify trends and patterns that help them understand customer needs and preferences better. This understanding enables companies to develop personalized service offerings that resonate with customers and drive customer satisfaction and loyalty. Methodologies for delivering personalized service offerings in satellite telecommunications include predictive analytics, machine learning, and artificial intelligence. Predictive analytics enables companies to forecast customer behavior and anticipate future needs, allowing them to proactively address customer needs. Machine learning algorithms can analyze large volumes of customer data to identify patterns and trends that would be difficult for humans to detect. Artificial intelligence can enhance customer service by enabling companies to automate processes and provide personalized recommendations to customers. In conclusion, enhancing customer service in satellite telecommunications requires a data-driven approach that leverages insights and methodologies to deliver personalized service offerings. By analyzing customer data and using advanced analytics and AI technologies, satellite telecommunications companies can tailor services to individual customer needs and preferences, driving customer satisfaction and loyalty. Keywords: Customer Service, Satellite, Telecommunications, Data-driven, Service Offerings.

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11

Conde, L. "Plasma propulsion for telecommunication satellites." Journal of Physics: Conference Series 1326 (October 2019): 012001. http://dx.doi.org/10.1088/1742-6596/1326/1/012001.

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12

Kuma, Peter, Frida A. M. Bender, Alex Schuddeboom, Adrian J. McDonald, and Øyvind Seland. "Machine learning of cloud types in satellite observations and climate models." Atmospheric Chemistry and Physics 23, no. 1 (January 13, 2023): 523–49. http://dx.doi.org/10.5194/acp-23-523-2023.

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Abstract. Uncertainty in cloud feedbacks in climate models is a major limitation in projections of future climate. Therefore, evaluation and improvement of cloud simulation are essential to ensure the accuracy of climate models. We analyse cloud biases and cloud change with respect to global mean near-surface temperature (GMST) in climate models relative to satellite observations and relate them to equilibrium climate sensitivity, transient climate response and cloud feedback. For this purpose, we develop a supervised deep convolutional artificial neural network for determination of cloud types from low-resolution (2.5∘×2.5∘) daily mean top-of-atmosphere shortwave and longwave radiation fields, corresponding to the World Meteorological Organization (WMO) cloud genera recorded by human observers in the Global Telecommunication System (GTS). We train this network on top-of-atmosphere radiation retrieved by the Clouds and the Earth’s Radiant Energy System (CERES) and GTS and apply it to the Coupled Model Intercomparison Project Phase 5 and 6 (CMIP5 and CMIP6) model output and the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis version 5 (ERA5) and the Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2) reanalyses. We compare the cloud types between models and satellite observations. We link biases to climate sensitivity and identify a negative linear relationship between the root mean square error of cloud type occurrence derived from the neural network and model equilibrium climate sensitivity (ECS), transient climate response (TCR) and cloud feedback. This statistical relationship in the model ensemble favours models with higher ECS, TCR and cloud feedback. However, this relationship could be due to the relatively small size of the ensemble used or decoupling between present-day biases and future projected cloud change. Using the abrupt-4×CO2 CMIP5 and CMIP6 experiments, we show that models simulating decreasing stratiform and increasing cumuliform clouds tend to have higher ECS than models simulating increasing stratiform and decreasing cumuliform clouds, and this could also partially explain the association between the model cloud type occurrence error and model ECS.

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Golovin, Yuriy, and Bohdan Pastukh. "Efficiency analysis of routing protocols in wireless mesh networks." Collection "Information Technology and Security" 10, no. 1 (June 30, 2022): 39–49. http://dx.doi.org/10.20535/2411-1031.2022.10.1.261121.

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An important direction in the administration of the state is the creation of a single information environment that will provide reliable feedback, timely planning and coordination of the actions of various units and structures of the state for the effective performance of assigned tasks. These issues are very relevant for the armed forces and other power structures of the state. JADC2 (Joint All-Domain Command and Control) technology was adopted in 2022 as an important strategy in the US armed forces and the armies of NATO countries. It is envisaged that JADC2 will cover all branches of the armed forces in order to combine the communications of various devices in the overall structure of command and control. To achieve success, a constant connection between a large number of domains, including sensors and control objects – Internet of Things in the military sector with the use of artificial intelligence AI/ML (Artificial Intelligence/Machine learning) must be maintained. The communication between the elements of the JADC2 architecture at the respective levels should be provided by different telecommunication networks using different physical channels, such as KH and VHF radio links, satellite communication, fixed fiber optic lines, etc. At the same time, it is necessary to transfer large volumes of data through global networks in a timely manner without losing data integrity, so JADC2 networks must be ready for cyber attacks. To solve these problems, it is necessary to switch from existing conventional radio communication networks to high-speed broadband, including MANET mesh networks (Mobile Ad hoc Network). The main advantages of MANET networks are: deployment speed, low cost with high efficiency, the ability to transmit data over long distances without increasing the transmitter power, resistance to changes in the network infrastructure, the ability to quickly reconfigure in adverse interference conditions. Routing protocols in such networks are the most effective means of solving the problem of service quality. This work presents the results of evaluating the effectiveness of routing protocols in mesh networks in accordance with the requirements of the services provided.

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Enyinaya Stefano Okafor, Olatunji Akinrinola, Favour Oluwadamilare Usman, Olukunle Oladipupo Amoo, and Nneka Adaobi Ochuba. "CYBERSECURITY ANALYTICS IN PROTECTING SATELLITE TELECOMMUNICATIONS NETWORKS: A CONCEPTUAL DEVELOPMENT OF CURRENT TRENDS, CHALLENGES, AND STRATEGIC RESPONSES." International Journal of Applied Research in Social Sciences 6, no. 3 (March 8, 2024): 254–66. http://dx.doi.org/10.51594/ijarss.v6i3.854.

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Cybersecurity is a critical concern in satellite telecommunications networks, given their vulnerability to cyber threats. This abstract presents a conceptual development of current trends, challenges, and strategic responses in using cybersecurity analytics to protect these networks. The paper discusses the increasing reliance on satellite telecommunications, making them attractive targets for cyber attacks. It explores the role of cybersecurity analytics in detecting and mitigating these threats, highlighting the importance of proactive monitoring and threat intelligence. Challenges in cybersecurity analytics for satellite networks are identified, including the complexity of satellite systems, the limited visibility into network traffic, and the evolving nature of cyber threats. The paper discusses strategic responses to these challenges, such as the use of advanced analytics techniques, machine learning, and artificial intelligence to enhance threat detection and response capabilities. Key trends in cybersecurity analytics for satellite networks are examined, including the growing adoption of cloud-based security solutions, the rise of insider threats, and the need for collaboration between satellite operators and cybersecurity experts. The paper also discusses the importance of regulatory compliance and the role of industry standards in ensuring the security of satellite networks. In conclusion, the paper emphasizes the importance of cybersecurity analytics in protecting satellite telecommunications networks and recommends a proactive approach to cybersecurity that includes continuous monitoring, threat intelligence sharing, and collaboration with cybersecurity experts. Keywords: Cybersecurity, Analytics, Satellite, Telecommunications, Conceptual Development.

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Georges, Martine. "Les satellites." Revue française d'administration publique 52, no. 1 (1989): 65–76. http://dx.doi.org/10.3406/rfap.1989.2285.

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Satellites Martine Georges The distinction between the operational and regulatory functions in the satellite telecommunications sector is far more clearcut at the international level. A detailed analysis nevertheless reveals that in reality the regulations sometimes favour the notion of content, as in the case of broadcasting satellites, and at others that of support, as in the case of telecommunication satellites. The regulations governing the latter are insufficiently adapted to the growing diversity of services offered by satellite at a time when the effectiveness of the operational framework for satellite Systems as a whole is being called into question.

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Kim, Yong Eui. "Internet of Things and the Implication of Legal Risks and Solutions." LAW RESEARCH INSTITUTE CHUNGBUK NATIONAL UNIVERSITY 33, no. 1 (June 30, 2022): 123–68. http://dx.doi.org/10.34267/cblj.2022.33.1.123.

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So far the Internet has been conceived as the network of people connected to one another. Recently, a lot of things works in connection with one another connected via the Internet. Thus this Internet is called Internet of Things(IoT). The things include not only the electronic devices for personal use such as smartphones and notebooks but also the variety of home appliances, cars, airplanes and even the satellite in the space. The things in the IoT are working based upon the most important two technologies, which are Artificial Intelligence and 5G Telecommunication Technology. Though IoT can be defined a bit differently by scholars and institutions, it is a common understanding that AI and 5G Telecommunication are the key elements. On one hand IoT’s capacity to sense, collect, analyze the informations and make decisions in a very high speed and effective way, makes possible the smart home, smart factory, smart city and even the smart government. On the other hand, it may also generate high risk and problems that it makes personal information leak and misused, person’s privacy is invaded, and even the national security can be threatened. The goals of benefiting IoT at the same time protecting people from the risks caused by IoT could be achieved through variety of efforts including setting up appropriate policies and enacting rules and regulations. This article addressed the alternative solutions for the achievement of the goals such as making soft laws, implementing governance process, and the application of blockchain. In sum, with all the pros and cons, this article strongly recommends people (including corporations, consumers, and other groups and associations), as the members of the community they belong to, that they adopt their own soft law best fit for their purpose and community environment to regulate themselves first and to make the soft law to regulate the society general as a de facto binding rules. While doing so we may go through the governance process to harmonize the conflicting interests of the constituents of the society and also adopt the new technology such as blockchain to strengthen the practicability of the soft law at the same time. Any soft law standards regarding the IoT should be purported to assure individuals that their data will not be misused or hacked, and that they facilitate trust and communication, and avoid the premature and heavy-handed stifling of innovation. Soft law can help these technologies proliferate while giving people the confidence that, contrary to the current belief, the benefits of the IoT far outweigh the risks. Soft law for IoT can be enhanced by convening a multistakeholder process, as one of the public governance process, to develop best practices for protecting the privacy and security of IoT data, including implementing security by blockchain solutions for the IoT.

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Bushuev, F. I., N. A. Kalyuzhny, A. P. Slivinsky, and Alexander V. Shulga. "RANGING GEOSTATIONARY TELECOMMUNICATION SATELLITES WITH SATELLITE TV SIGNALS." Telecommunications and Radio Engineering 73, no. 3 (2014): 257–69. http://dx.doi.org/10.1615/telecomradeng.v73.i3.50.

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Babuscia, Alessandra. "Telecommunication Systems for Small Satellites Operating at High Frequencies: A Review." Information 11, no. 5 (May 8, 2020): 258. http://dx.doi.org/10.3390/info11050258.

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Small Satellites and in particular CubeSats are becoming extremely popular platforms with which to perform space research. They allow for rapid prototyping with considerable cost savings with respect to traditional missions. However, as small satellite missions become more ambitious in terms of destinations to reach (from Low Earth Orbit to interplanetary) and in terms of the amount of data to transmit, new technologies need to be developed to provide adequate telecommunication support. This paper aims to review the telecommunication systems that have been developed at the Jet Propulsion Laboratory for some of the most recent CubeSat missions operating at different frequency bands: ASTERIA (S-Band), MarCO (X-Band and UHF) and ISARA (Ka-Band and UHF). For each of these missions: the telecommunication challenges and requirements are listed; the final system design is presented; the characteristics of the different hardware components are shown; and the lessons learned through operations are discussed.

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Yagli, Ahmet F., Erdem Demircioglu, Senol Gulgonul, Hasan H. Ertok, Jon Winkel, and Eckart Goehler. "Regional Positioning System Development over Turksat Geostationary Telecommunication Satellites." Navigation 63, no. 3 (September 2016): 359–69. http://dx.doi.org/10.1002/navi.143.

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MATSUNAGA, Saburo. "Very Small Artificial Satellites." Journal of the Society of Mechanical Engineers 108, no. 1042 (2005): 708–9. http://dx.doi.org/10.1299/jsmemag.108.1042_708.

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Burleigh, Scott C., Tomaso De Cola, Simone Morosi, Sara Jayousi, Ernestina Cianca, and Christian Fuchs. "From Connectivity to Advanced Internet Services: A Comprehensive Review of Small Satellites Communications and Networks." Wireless Communications and Mobile Computing 2019 (May 2, 2019): 1–17. http://dx.doi.org/10.1155/2019/6243505.

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Recently, the availability of innovative and affordable COTS (Commercial Off-The-Shelf) technological solutions and the ever-improving results of microelectronics and microsystems technologies have enabled the design of ever smaller yet ever more powerful satellites. The emergence of very capable small satellites heralds an era of new opportunities in the commercial space market. Initially applied only to scientific missions, Earth observation and remote sensing, small satellites are now being deployed to support telecommunications services. This review paper examines the operational features of small satellites that contribute to their success. An overview of recent advances and development trends in the field of small satellites is provided, with a special focus on telecommunication aspects such as the use of higher frequency bands, optical communications, new protocols, and advanced architectures.

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Dudeck, M., F. Doveil, N. Arcis, and S. Zurbach. "Plasma propulsion for geostationary satellites for telecommunication and interplanetary missions." IOP Conference Series: Materials Science and Engineering 29 (February 27, 2012): 012010. http://dx.doi.org/10.1088/1757-899x/29/1/012010.

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Han, S., J. Han, Y. Choi, S. Lee, M. Kim, and S. Lee. "DEVELOPMENT OF A MULTI-DIMENSIONAL ARRAY DATABASE BASED MASSIVE SATELLITE INFORMATION PROCESSING AND ANALYSIS SYSTEM: KIWI-SAT." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 5, 2022): 181–86. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-181-2022.

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Abstract. Information and communication technology (ICT) is mainly applied to finance, telecommunications, and public sectors. However, since the early 2010s, there have been efforts to apply ICT to various fields such as aerospace, life science, energy, and automobiles. Recently, artificial intelligence and big data technologies have also been applied in the aerospace field, among others. In the field of aerospace, earth observation attracts the most interest.One reason earth observation attracts such interest is that the availability of a satellite constellation allows more frequent observations of objects of interest. Another reason is the improvement of technologies that can process massive satellite images such as data cubes for urban change detection, disaster monitoring, and traffic analysis. When performing earth observation using satellite images, it is necessary to process a large amount of satellite information in real-time and analyze satellite images with artificial intelligence. Such research is continuing in various ways. The field of interest in this study is the processing technology for storing and retrieving large volumes of satellite images. Rasdaman and SciDB were two available open-source software applications.In this paper, KIWI-Sat, which processes and analyzes a large amount of satellite imagery, mainly described and also show two KIWI-Sat demos with AI algorithms that are developed for Korean satellite images in KARI, one is super resolution algorithm of K3 and the other is water segmentation algorithm of K5, SAR satellite image.

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AA, Periola, and Ohize H. "Enhanced dynamic data storage for enabling low cost space astronomy observations for capital constrained astronomy organizations." Physics & Astronomy International Journal 1, no. 4 (November 17, 2017): 139–44. http://dx.doi.org/10.15406/paij.2017.01.00025.

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Mechanisms that reduce the capital and operational costs are important for increased participation in astronomy. It is important that capital constrained organizations can engage in astronomy in cost effective manner. Approaches such as telescope conversion and using small satellites reduce the cost of astronomy observations. However, astronomy data observed by converted and small satellite telescopes require storage and processing by high performance computing infrastructure. High performance computing infrastructure acquisition is expensive for capital constrained astronomy organizations. The reduction in costs obtained by using converted and small satellite telescopes is not matched by a corresponding reduction in high performance computing. This paper addresses this challenge and proposes using a software defined space data storage system. The software defined space data storage system considers space telescopes as primary satellites and telecommunication and earth observation satellites as secondary satellites. The primary and secondary satellites are grouped in logical clusters. Secondary satellites are temporal data centers that store the astronomy data that cannot be held on primary satellites. The discussion in this paper presents algorithms that enable the identification of suitable secondary satellites and also influence the entry and exit of secondary satellite into dynamic clusters.

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Parks, Lisa. "Signals and oil." European Journal of Cultural Studies 12, no. 2 (May 2009): 137–56. http://dx.doi.org/10.1177/1367549409102421.

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This article examines the strategies of two satellite operators working across post-communist territories of Central Asia: Eutelsat and Kazsat. To do so it develops a critical approach called footprint analysis, which involves investigating the variety of practices that occur within range of a given satellite's service. Satellites have been used in post-communist territories to circulate broadcast and telecommunication signals, facilitate flows of capital and reshape geographic imaginaries. In addition, satellites have become orbital platforms for the Caspian's booming oil industry. Satellites are used to support everything from surveying oil fields to monitoring drilling operations, from construction of oil rigs to the maintenance of pipelines. The article sets out to develop a model of analysis which can account for the more 'cultural' uses of satellites (i.e. for broadcasting) in relation to their more 'extractive' uses (i.e. for natural resource development).

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Moorhead, Simon. "Radio Communication By Artificial Satellites." Journal of Telecommunications and the Digital Economy 3, no. 3 (September 28, 2015): 72–84. http://dx.doi.org/10.18080/jtde.v3n3.12.

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A remarkable paper from 1961 which demonstrates the Post Master General’s Department was at the forefront of technological developments concerning radio communications by artificial satellites before the launch of Telstar.

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Sampaio, Jarbas C., Rodolpho Vilhena de Moraes, and Sandro S. Fernandes. "Artificial satellites dynamics: resonant effects." Journal of Aerospace Engineering, Sciences and Applications 4, no. 2 (April 1, 2012): 1–14. http://dx.doi.org/10.7446/jaesa.0402.01.

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Giorgio Eugenio Oscare, Giacaglia. "RELATIVISTIC EFFECTS ON ARTIFICIAL SATELLITES." Engineering Research: technical reports 3, no. 1 (2012): 1–19. http://dx.doi.org/10.32426/engresv3n1-001.

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Vovchyk, Yeva, Yaroslav Blagodyr, Gennadiy Kraynyuk, Andriy Bilinsky, Alexander Lohvynenko, Bogdan Klym, and Yevhen Pochapsky. "Electrophotometric observations of artificial satellites." Journal of Quantitative Spectroscopy and Radiative Transfer 88, no. 1-3 (September 2004): 211–17. http://dx.doi.org/10.1016/j.jqsrt.2004.01.008.

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Abdellah, A., and A. Koucheryavy. "SURVEY ON ARTIFICIAL INTELLIGENCE TECHNIQUES IN 5G NETWORKS." Telecom IT 8, no. 1 (April 2020): 1–10. http://dx.doi.org/10.31854/2307-1303-2020-8-1-1-10.

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Research subject. Fifth-generation telecommunication networks are currently the determining direction of telecommunications development as a whole. At the same time, the complexity of the processes of functioning of fifth-generation telecommunication networks increases by an order of magnitude compared to existing networks. All this requires the use of new technologies, including artificial intelligence, to ensure the stable functioning of telecommunication networks. Method. System analysis. Core results. The scientific tasks for the fifth generation communication networks, in which the use of artificial intelligence seems appropriate, including machine and deep learning, are identified. Practical significance. The results of the work can be useful in the education process in the field of networks and telecommunication systems, as well as for setting new scientific tasks for PhD students.

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Đukanović, Slaviša, Vladimir Mladenović, Milan Gligorijević, Danijela Milošević, and Ivona Radojević-Aleksić. "Spatial characterization of telecommunication satellites visible above the Republic of Serbia." Bulletin of Natural Sciences Research 10, no. 2 (2020): 51–58. http://dx.doi.org/10.5937/bnsr10-27731.

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This paper deals with the general technical, spatial, and temporal characteristics of satellite telecommunications systems. Particular attention was paid to the peculiarities of the territory of the Republic of Serbia in terms of implementation and use of modern satellite telecommunication infrastructure. The overview shows how and on which way to use various satellite telecommunication systems to configure and exploit next-generation networks, especially modern communications such as 5G technology and IoT. Their work cannot be imagined without the high speeds and high frequencies that allow us to transmit a wealth of information - from short messages/news to HD video on a mobile phone. We need either a base station network or in the case of the high seas or areas where the base station system is difficult to imagine, we need satellite communication. The paper presents data that give a numerical and graphical overview of geostationary satellites visible from the territory of the city of Belgrade, depending on the orbital position and the associated angle of azimuth and elevation, which would also be valid for the leading territory of Serbia.

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Zimmermann, C. G., A. Bals, A. Übner, F. Schlerka, and A. Schindler. "Development of a New, High-Power Solar Array for Telecommunication Satellites." E3S Web of Conferences 16 (2017): 01006. http://dx.doi.org/10.1051/e3sconf/20171601006.

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33

Siocos, C. "The International Telecommunication Union and Broadcasting from Satellites - A Brief Review." IEEE Journal on Selected Areas in Communications 3, no. 1 (January 1985): 8–12. http://dx.doi.org/10.1109/jsac.1985.1146160.

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34

Gopinath, Sumesh, and P. R. Prince. "Prediction of future evolution of solar cycle 24 using machine learning techniques." Proceedings of the International Astronomical Union 13, S340 (February 2018): 317–18. http://dx.doi.org/10.1017/s1743921318001485.

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AbstractForecasting the solar activity is of great importance not only for its effect on the climate of the Earth but also on the telecommunications, power lines, space missions and satellite safety. In the present work, machine learning using Artificial Neural Networks (ANNs) called Nonlinear Autoregressive Network (NAR) with Exogenous Inputs (NARX) have been applied for the prediction of future evolution of the present sunspot cycle. NARX network is able to combine the performance of ANN algorithm with nonlinear autoregressive method to handle problems such as finding dependencies among solar indices and prediction of solar cycle evolution.

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Abdellah, Ali, and Andrey Koucheryavy. "Artificial Intelligence Driven 5G and Beyond Networks." Telecom IT 10, no. 2 (April 12, 2023): 1–13. http://dx.doi.org/10.31854/2307-1303-2022-10-2-1-13.

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5G networks and beyond are expected to meet numerous service requirements in various aspects of our daily lives. At the same time, the functional complexity of 5G telecommunication networks increases by an order of magnitude compared to existing networks. 5G data rates are dramatically faster, connection density is higher, and latency is much lower, among other improvements. An efficient 5G network cannot be complete without incorporating artificial intelligence (AI) techniques. All this requires the use of new technologies, including artificial intelligence, to ensure the stable operation of telecommunication networks, methodology, system analysis, and key results. Scientific tasks for 5G communication networks are identified where the use of artificial intelligence, including machine and deep learning, seems appropriate. Practical Relevance. The results of the work may be useful in training in networks and telecommunication systems and in defining new scientific tasks for PhD students.

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da Costa, Maria Lívia G. T. X., Rodolpho Vilhena de Moraes, Jean Paulo S. Carvalho, and Antônio Fernando B. A. Prado. "Artificial satellites orbiting planetary satellites: critical inclination and sun-synchronous orbits." Journal of Physics: Conference Series 911 (October 2017): 012018. http://dx.doi.org/10.1088/1742-6596/911/1/012018.

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Morozova, Elina. "All-Electric Satellites Seek Equal Rights in Space." Air and Space Law 41, Issue 3 (May 1, 2016): 193–99. http://dx.doi.org/10.54648/aila2016017.

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Lately, satellite operators have been showing growing interest in all-electric satellites, which help slash the total budget of a satellite program and make the use of the radio frequency spectrum more efficient. However, due to certain technological features of electric propulsion sub-systems, it takes more time to move an all-electric satellite to its destination after the launch compared to a conventional chemically propelled satellite. Considering that the terms for putting various types of satellites into operation differ, while regulatory deadlines for bringing frequency assignments into use are the same for all types of satellites, the factor of time becomes a formidable obstacle preventing a wide use of all-electric satellites. At the same time, a rational, equitable, efficient, and economical use of the radio frequency spectrum is one of the tasks of the International Telecommunication Union and its Member States are encouraged to apply the latest technical advances as soon as possible. Will this United Nations specialized agency for information and communication technologies be able to respond to the current needs of the world space industry and secure all-electric satellites equal rights in outer space?

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38

Houlahan, Padraig. "Tracking artificial satellites with the Macintosh." Computers in Physics 8, no. 1 (1994): 113. http://dx.doi.org/10.1063/1.168513.

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Paulo dos Santos Carvalho, Jean, Rodolpho Vilhena de Moraes, and Antônio Fernando Bertachini de Almeida Prado. "Dynamics of Artificial Satellites around Europa." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/182079.

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A planetary satellite of interest at the present moment for the scientific community is Europa, one of the four largest moons of Jupiter. There are some missions planned to visit Europa in the next years, for example, Jupiter Europa Orbiter (JEO, NASA) and Jupiter Icy Moon Explorer (JUICE, ESA). In this paper, we search for orbits around Europa with long lifetimes. Here, we develop the disturbing potential in closed form up to the second order to analyze the effects caused on the orbital elements of an artificial satellite around Europa. The equations of motion are developed in closed form to avoid expansions in power series of the eccentricity and inclination. We found polar orbits with long lifetimes. This type of orbits reduces considerably the maintenance cost of the orbit. We show a formula to calculate the critical inclination of orbits around Europa taking into account the disturbing potential due to the nonspherical shape of the central body and the perturbation of the third body.

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40

Smith, D. A., and D. C. Hill. "Imaging artificial satellites: An observational challenge." Physics Teacher 54, no. 7 (October 2016): 444–45. http://dx.doi.org/10.1119/1.4962790.

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Fritsch, T., M. Mittler, and P. Tran-Gia. "Artificial neural net applications in telecommunication systems." Neural Computing & Applications 1, no. 2 (June 1993): 124–46. http://dx.doi.org/10.1007/bf01414432.

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42

Mardyansyah, R. Y., B. Kurniawan, S. Soekirno, D. E. Nuryanto, and H. Satria. "Artificial Intelligent For Rainfall Estimation In Tropical Region : A Survey." IOP Conference Series: Earth and Environmental Science 1105, no. 1 (December 1, 2022): 012024. http://dx.doi.org/10.1088/1755-1315/1105/1/012024.

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Abstract Rainfall monitoring in real-time is a mandatory in tropical areas such as Indonesia. As a country with various topographical conditions ranging from low-lying urban areas, highlands, to mountainous valleys, Indonesia is prone to hydrometeorological disasters in the form of flash floods and landslides. The strategic geographical position at the equator, between the Pacific and Indian oceans, and surrounded by vast oceans, combined with various natural phenomena related to the dynamics of the atmosphere and the ocean, makes high-density rainfall observations indispensable for both disaster mitigation and climate monitoring. As a vast tropical and archipelagic country, Indonesia currently has around 1000 automatic rainfall sensors and still requires more sensors to increase the spatial resolution of the observation network. Increasing the density of the observation network using both rain gauges and weather radar poses a problem of high operational costs. Therefore, several alternative rainfall observation systems are required. In the last decade, there have been several studies related to rainfall measurements using artificial intelligence from various meteorological variables, including the exploitation of microwave signals from radio telecommunications links, both terrestrial and satellite using high frequency bands. In this survey paper, we review and discuss research articles related to rainfall estimation using state-of-the-art methods in artificial intelligence using meteorological observation data, remote sensing, terrestrial and satellite microwave communication links. In conclusion, we present several future research challenges that can be applied to increase the density of rainfall observation networks.

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SAITO, Shin-nosuke, Tomonori ITOU, Shin SATORI, and Kazuhisa CHIBA. "523 TeleCommunication of Large-size Data Using Visble Light for Nano-Satellites." Proceedings of Conference of Hokkaido Branch 2014.53 (2014): 135–36. http://dx.doi.org/10.1299/jsmehokkaido.2014.53.135.

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44

Kaffenberger, Ruediger. "6.1.4 The Telecommunication Domain ‐ a Challenge for INCOSE." INCOSE International Symposium 10, no. 1 (July 2000): 71–77. http://dx.doi.org/10.1002/j.2334-5837.2000.tb00360.x.

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AbstractThe telecommunication sector harbours the true giants among the artificial systems. Telecommunication systems have the largest physical size of man made systems, they have the most users and the largest commercial value. Telecommunication systems have even outpaced the automobile in respect to its impact onto society. However, despite these facts and despite humankind relies on the availability and effectiveness of telecommunication systems, one finds only few contributions from individuals or organisations of the telecommunication industries to the science of systems engineering. In this paper, the outline of an alternative systems engineering profile of the telecommunication domain will be presented. This profile will be used to illustrate why systems engineering in the telecommunication domain is different and why INCOSE should be interested in it.

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Schwer, A. G., U. M. Schöttle, and E. Messerschmid. "Operational impacts and environmental effects on low-thrust transfer-missions of telecommunication satellites." Acta Astronautica 38, no. 4-8 (February 1996): 561–75. http://dx.doi.org/10.1016/0094-5765(96)00044-6.

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Silva, W. R., M. C. Zanardi, J. K. S. Formiga, R. E. S. Cabette, and T. J. Stuchi. "Attitude stability analyses for small artificial satellites." Journal of Physics: Conference Series 465 (October 16, 2013): 012022. http://dx.doi.org/10.1088/1742-6596/465/1/012022.

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De Pontieu, B. "Database of photometric periods of artificial satellites." Advances in Space Research 19, no. 2 (January 1997): 229–32. http://dx.doi.org/10.1016/s0273-1177(97)00005-7.

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Cui Dou-xing. "A practical intermediate orbit for artificial satellites." Chinese Astronomy and Astrophysics 12, no. 2 (June 1988): 114–18. http://dx.doi.org/10.1016/0275-1062(88)90005-7.

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Tzirti, S., K. Tsiganis, and H. Varvoglis. "Quasi-critical orbits for artificial lunar satellites." Celestial Mechanics and Dynamical Astronomy 104, no. 3 (May 26, 2009): 227–39. http://dx.doi.org/10.1007/s10569-009-9207-4.

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Carvalho, J. P. S., R. Vilhena de Moraes, and A. F. B. A. Prado. "Some orbital characteristics of lunar artificial satellites." Celestial Mechanics and Dynamical Astronomy 108, no. 4 (October 9, 2010): 371–88. http://dx.doi.org/10.1007/s10569-010-9310-6.

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