Recent Advances in Computer Science and Communications - Volume 15, Issue 9, 2022

Mission planning is an integral process that enables earth observation missions and defines their success rate. This paper identifies key problems and opportunities in machine learning for earth observation satellite mission planning. Firstly, the description elements, classification methods, solution process and solution difficulties of the mission planning problem of earth observation satellite are described. Secondly, the curr Read More

Background & Objectives: The global power system is in a state of continuous evolution, incorporating more and more renewable energy systems. The converter-based systems are void of inherent inertia control behavior and are unable to curb minor frequency deviations. The traditional power system, on the other hand, is made up of synchronous generators that have their inertia and governor response for frequency control. F Read More

Background: The smart grid communication network is constructed with three tiers, namely, Home Area Networks (HANs), Neighborhood Area Networks (NANs) and Wide Area Networks (WANs). These networks function with various communication protocols like table protocol, on-demand protocol, Wi-Fi, Zigbee, Z-Wave, Wi-MAX, GSM, LTE, Cognitive Radio Networks. The network interconnection is heterogonous and all appli Read More

Background: Trajectory planning is important to research in robotics. As the application environment changes rapidly, robot trajectory planning in a static environment can no longer meet actual needs. Therefore, a lot of research has turned to robot trajectory planning in a dynamic environment. Objective: This paper aims at providing references for researchers from related fields by reviewing recent advances in rob Read More

The ground space optical observation system considered as one of the main measurement methods to observe space object in Medium Earth Orbit (MEO), Highly Elliptical Orbit (HEO) and Geostationary Orbit (GEO) faces difficulties in forming high-solution images for objects located in GEO that only appears several light spots with limited pixels due to the impacts of observing distance, resolution ratio, and other atmospheric con Read More

Background: The mobile robot navigation technology includes two key issues: the localization and the path planning, of which the localization is the most basic part of mobile robot navigation, because the target point is meaningful only when mobile robot's pose is clarified, and path planning can be done on this basis. Therefore, it is of great significance to have a good localization method for mobile robots. Objective: This study ai Read More

Objective: In recent years, with the large-scale construction of large venues, high-rise office buildings, residential quarters, and the development of networked UAV, the demand and complaints of users for air network coverage are increasing. The existing road test instruments are designed for ground coverage based on the mobile app and PC software, which is not suitable for low altitude signals. In order to shorten the test cyc Read More

Background: Localization is an important area of implementation of the internet of things based on Wireless Sensor Networks. Outdoor user tracking is possible using the global positioning system; however, the global positioning system accuracy decreases in indoor environments. To overcome this problem, the wireless sensor network is used in internet of things-based technology for localization. Objective: The wirele Read More

Background: With the development of network technology and the continuous increase in user-generated content on the Internet, the protection of digital copyright is particularly important. Objective: In order to better protect the copyright of digital works, this paper proposes a Polkadot scheme based on the advantages of blockchain cross-chain technology. Methods: The scheme sets up three parallel chains, including digital wor Read More

Background: Energy conservation has always been a major issue in our country, and the air conditioning energy consumption of buildings accounts for the majority of the energy consumption of buildings. If the building load can be predicted and the air conditioning equipment can respond in advance, it can not only save energy but also extend the life of the equipment. Introduction: The neural network proposed in this paper Read More

Background: Detecting occluded objects in images remains a challenging problem since the occluded objects often occlude each other or are occluded by other objects. It is hard to identify the occluded objects in an image, especially when the occlusion is significant. Methods: In this work, a two-stage object detection method has been proposed. The proposed method is based on the Faster RCNN model and uses ResNet50 Read More

Background: With the development of the Internet of things, WSN node positioning is particularly important as its core technology. One of the most widely used algorithms, the DV-hop algorithm, has many advantages, such as convenient operation, use of no additional equipment, etc. At the same time, it also has some disadvantages, like large location error and insufficient robustness. Particle swarm optimization algorithm is Read More

Objective: With the development of Internet finance, the scale of peer-to-peer (P2P) online lending platforms have rapidly expanded. Additionally, the phenomenon of losses among online lending platforms and the problem of default by borrowers have emerged, greatly restricting the healthy development of online lending platforms. Therefore, it is necessary to dynamically set the credit rating of the borrowers according to th Read More