ICCIP

This paper mainly summarizes and introduces the improvements proposed by scholars at home and abroad in recent years for the application of Rapidly-exploring Random Tree in robot arms. This paper first briefly introduces the existing path planning ...

Popularity prediction of micro videos on multimedia is a hotly studied topic due to the widespread use of video upload sharing services. It’s also a challenging task because popular pattern is affected by multiple factors and is hard to be modeled. The ...

Aiming at the problem that the load identification accuracy of non-intrusive load monitoring (NILM) is greatly affected by the power of loads and the number of background loads, a non-intrusive load identification method based on the current complex ...

This paper discusses the development of an Automatic Essay Grading System (SIMPLE-O) designed using hybrid CNN and Bidirectional LSTM and Manhattan Distance for Japanese language course essay grading. The most stable and best model is trained using ...

Since the task of hit song prediction was proposed, many experts and technicians have done a lot of research and achieved good results, but there are still some problems such as limited song feature types, lack of feature importance, and insufficient ...

Remote sensing images are usually distributed in different departments and contain private information, so they normally cannot be available publicly. However, it is a trend to jointly use remote sensing images from different departments, because it ...

The digital era, which is a jargon in welcoming the technological developments has given birth to a new form of learning that eliminates the requirement of physical presence of teachers and students within the same place and time, or it can be known as ...

The grain size is an important steel grading parameter. For metallographic steel images with various grain sizes and complex textures, it is not possible for a human expert to determine the grain size efficiently. Meanwhile, conventional computer ...

Online purchasing has become a new front in the conflict between agricultural products with the Internet's rapid expansion. Besides the cost saving because of no physical store, the adoption of Internet marketing is an inevitable trend. The development ...

In recent years, Cover Song Identification (CSI) based on Siamese Network and music representation learning has achieved good performance, however, there are still many problems such as limited feature fusion, missing decision threshold and single data ...

In this paper, we propose a residual dense networks (RDN)-based image super-resolution method using Meta-learning. Specifically, deep extraction of global features is performed on the external dataset through an RDN, meta-learning to obtain an initial ...

In recent years, with the development of unmanned vehicle fields, the millimeter wave radar has also developed rapidly and has been applied to many systems. Frequency modulated continuous wave (FMCW) radar has become a hot research topic in millimeter ...

A large number of diverse data sets are necessary for networks to predict human body parameters and reconstruct 3D body models from images. Due to the high cost of motion capture and body scanning, high precision pose and body shape parameters are ...

In recent years, network security has become the main factor that threatens the development of the Internet. Among the network security threats, advanced persistent threat (APT) is one of the most representative attacks and has brought unprecedented ...

The supply chain refers to the process that starts from the production of parts, goes through transportation, storage and other processes, and finally forms products and sells them. The supply chain generally consists of suppliers, manufacturers, sales ...

Network traffic classification has become an important part of network management, which is conducive to realizing intelligent network operation and maintenance, improving network quality of service (QoS), and ensuring network security. With the rapid ...

The diffusion function with large branch number is a fundamental building block in the construction of many block ciphers to achieve provable bounds against differential and linear cryptanalysis. Conventional diffusion functions, which are constructed ...

As a key technology to solve the problem of trust in application systems, blockchain has attracted more and more attention in recent years. Many researches focus on applying voting-based consensus in permissionless blockchain to improve the throughput. ...

While MOOC brings a great impact to higher education, there is also the problem of low course completion rate, and it is important to analyze the factors influencing learners' continuous learning and participation in Massive Open Online Course (MOOC) ...

The blockchain technology has developed rapidly in recent years and has been widely used in all walks of life. However, most of the authentication systems adopted by the current blockchain technology are public key infrastructure based on large integer ...

While reducing costs and improving data security, the new generation of informatics technologies such as blockchain also face problems of operation efficiency and privacy leakage, which have attracted extensive attention from researchers. Digital ...

Aiming at the uniform circular array model of conformal antenna array, we proposed a spatial spectrum estimation algorithm of polarization sensitive array based on compensating spatial domain manifold matrix. Because the conformal antenna is highly ...

RF stealth waveform design is an essential technology in RF stealth radar. LPI performance evaluation of waveforms becomes more and more critical. Several radars transmit waveforms are designed through compound modulation, and the relative entropy ...

Abstract: In order to solve the problems of low intelligence and complex deployment of substation auxiliary control system, a new edge gateway system supporting 5g is designed. The gateway system designs a horizontal and vertical data flow mechanism; AI ...

Under low signal-to-noise ratio (SNR) target tracking, poor target information and high clutter limit the tracking effect. Extended targets potentially generate more than one measurement per time step. Multiple extended targets tracking is therefore can ...

The recognition of communication relationships under Non-cooperative conditions is significant for understanding the network composition of unknown targets, inferring network topology, and identifying key nodes, which is a prerequisite and basis for ...

Usage control (UCON) model realizes the usage control of resources by integrating authorization, obligations and conditions and providing characteristics of decision continuity and attribute mutability. In order to better adapt to the data interaction ...

Stroke is an acute cerebrovascular disease with high mortality and disability. Computer-aided interventional diagnosis is a necessary measure to improve the efficiency of stroke diagnosis by using modern advanced medical instruments and machine learning ...

More and more complex services composed of a series of sequentially arranged middleboxes which are mainly used to meet the requirements of advanced services such as security services, auditing services, monitoring services, personalized enterprise ...

The improvement of modern communication technology has made the Internet of Vehicles (IoV) advance by leaps and bounds, and promotes the progress of many technologies, such as mobile sensing, vehicular edge computing, sensor networks, satellite ...