The first event of Lingnan Science Forum this year: Focus on network security intelligent mobile devices

In the first forum of the Lingnan Science Forum Series, the "Fourth IEEE Communication, Information System and Computer Engineering International Conference" was held at 9:30 am on June 25 at 9:30 am on June 25.

This "International Conference on the Fourth IEEE Communication, Information System and Computer Engineering" is one of the "Lingnan Science Forum" series of activities in 2022. Focus on network and information security, 5G communication and network, intelligent mobile device design, coding and signals Treatment, computer and artificial intelligence and other research fields have launched special exchanges, held this international academic conference, and established a new platform with international influence to help Guangdong build high -level talents to gather new highlands and stimulate technological innovation vitality. The "Lingnan Science Forum" of the provincial media platform "Electrical Shimbun" was broadcast live.

This forum was guided by the Guangdong Provincial Science and Technology Association, the Guangdong Provincial Department of Science and Technology, supported by the Guangdong Provincial Federation of Industry and Commerce, the Guangdong Academy of Social Sciences, and Shenzhen University, Guangdong Aisi Information Technology Academic Exchange Research Institute and Guangdong High -performance Computing Society joint Hosted, co -organized by the Guangdong Science and Technology Journalist Association, Guangdong Computer Society, and Guangdong Dr. Innovation and Development Promotion Association. The forum focuses on network security, 5G communication and networks, intelligent mobile device design, coding and signal processing, computer and artificial intelligence research fields to launch special exchanges. The platform for cutting -edge technology to understand academic development, broaden research ideas, strengthen academic research and discussions, and promote industrialization of academic achievements.

At the opening ceremony of the forum, Hua Xuchu, a member of the Party Group of the Guangdong Science and Technology Association, made a speech at the 2022 Lingnan Science Forum series of activities. In his speech, he said that the "Lingnan Science Forum" was established in 2017 and was established in 2017. It is organized by the Guangdong Provincial Association of Science and Technology Association to hold a series of activities of no less than ten activities each year. Every year, the "Lingnan Science Forum" series of activities are strictly selected by the Provincial Science and Technology Association. The theme of the event has both the hot science cutting -edge issues that have received widespread attention, as well as the key issues and difficulties that need to be solved in the process of industrial transformation and upgrading of Guangdong Province. Since its establishment, the forum has held more than 40 in -depth and influential academic exchange activities. The content involves quantum technology, intelligent manufacturing equipment, ships and marine engineering equipment, aviation manufacturing, satellite applications, artificial intelligence, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data, big data. Robot, 3D printing, wearable equipment, new materials, new energy, biomedicine, smart health and other fields. In 2020, the forum established an online live broadcast platform relying on the provincial authoritative media "Electric Press News" to achieve effective online+offline dissemination.

At the opening ceremony today, Knowledge City (Guangzhou) Investment Group Co., Ltd. and Guangzhou Koore Information Technology Co., Ltd. signed a contract. Eliminate cooperation

The academic communication capacity improvement platform in Guangdong Province also signed an expert cooperation agreement with five experts. Guangdong Provincial Science and Technology Society's academic communication capacity improvement platform is initiated by the Guangdong Provincial Association of Science and Technology. Society's academic ability and technological innovation.

In order to help the construction of the platform, five experts from Professor Zhu Jizhong of South China University of Science and Technology have joined the platform expert library to give full play to the advantages of the expert's own field and jointly provide professional and diversified academic services to various scientific and technological communities.

For the forum for two days, more than a dozen discipline leaders or industry leaders in the field of scientific research in domestic and foreign scientific research were invited to attend and make a theme report.

Professor Zhu Jizhong from South China University of Science and Technology (IEEEE) proposed in the theme report "Ultra -short Loading Forecast of Power Systems Based on Deep Learning" that load prediction is a classic and important issue in the field of electrical engineering. With the development of power systems Provide the basis for execution for power system planning, optimization operation and control, and provide decision -making basis for activities such as energy trading, energy management (such as demand -side response) in power market, and new power systems with new energy as the main body. Balanced is of great significance. In the field of load prediction, deep learning represented by LSTM (long and short memory) network has gradually become the core method of ultra -short -term load forecast or even short -term load prediction. We fully combine the advantages of the convolutional neural network CNN and the circular neural network RNN, and build a ultra-short-term load prediction model based on the CNN-LSTM network. The simulation analysis shows that the CNN-LSTM network proposed has excellent prediction effects and prediction efficiency, which is more in line with the needs of actual engineering applications.

Professor Shi Bing (IEEE senior member) of Wuhan University of Science and Technology, mainly engaged in the research work of the research work of artificial intelligence and multi -intelligent systems is "Research on Task, Schedule and Price Problems in Time and Space Congress Mission". This special report proposes that in recent years Come, shared bicycles, online ride -hailing, etc., as a typical type of space -time crowdsourcing task, have received widespread attention. In such space crowdsourcing tasks, tasks allocation, scheduling and pricing are the key issues. The analysis of these issues proposed a solution based on strengthening learning and gaming theory, and verified the effectiveness of the algorithm through experiments.

Professor Hu Shaolin, the School of Petroleum and Chemical Engineering, is the director of the Academic Committee of the Infrastructure Health Monitoring and Evaluation Engineering Technology Center of smart cities in Guangdong Province. He made the topic of the academic theme of the "Mastery of Mastery of Sample Signal Statistics Statistical Characteristics" on the forum. The report pointed out that machine learning is a common research hotspot in the field of artificial intelligence and model recognition, and its theory and methods have been widely used to solve the complex problems in the field of engineering technology and science. Statistical learning is an important part of machine learning. Through statistical theory, sampling data, and the organic combination of computers to achieve knowledge acquisition and application. The sample is the object of machine learning and the source of obtaining object knowledge through machine learning. Samples with defects or errors will reduce the correctness of the knowledge obtained, and in severe cases, it will cause the failure of machine learning algorithms. In order to avoid the impact of errors and reliability of error samples on statistical learning quality and reliability, this report puts forward the concept of fault -tolerant learning, and gives some problems such as multi -dimensional sample statistical characteristics extraction and sampling signal filtering noise reduction. Machine fault tolerance learning methods, including: fault tolerance learning methods for multi -dimensional sample statistics, fault -tolerant filtering methods of non -smooth signals, and adaptive fault tolerance forecasting methods, and verify the effectiveness of the method through instances and simulation methods. Professor Yue Yang from the School of Information and Communication Engineering from Xi'an Jiaotong University made an academic report entitled "Fiber -Fiber Communication based on rail -based angular volume" on the forum. The report proposes that the application of vortex lights carrying rail angle (OAM) has made exciting progress in various fields, and it is well known. Because it is theoretically, the complete positive intercourse OAM mode with unlimited topology status has attracted widespread attention in the field of optical fiber communication. In this report, we will first introduce OAM's basic knowledge and various applications, including optical communication. Next, we will introduce several ring -core optical fibers for OAM mode, including multi -core ring -core optical fiber that supports thousands of OAM modes, large negative -colored dispersing cycagencies, and non -linear non -zero -colored bullets. Core optical fiber. These ring fiber design has great potential in improving the spectral efficiency and overall capacity of optical fiber -based communication systems.

Professor Shen Linlin of Shenzhen University proposed in the theme report "Genesis Facting Face". The virtual world of the Yuan universe needs to synthesize many virtual face and perform editing operations such as expressions, attributes, and speaking on these people. Labor -intensive complex manual process requires a large number of collaborative operations of animators and programmers. In recent years, with the extensive application of generating adversarial network (GAN), the automatic editing technology of face attributes has developed rapidly. A series of methods based on generating models have been proposed one after another and achieved good face change performance. The theme report focuses on the face editing method based on the generation of confrontation network (GAN). First of all, introduce several classic networks in the development of GAN technology, discuss the main ideas of these methods, and introduce the faces of Sart, Switchgan and others proposed in this field. ; Target area precise transformation technology; and research on the research work of various attributes such as high -definition face through the attribute classification feedback network and text embedded technology on the basis of pre -training Stylegan.

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