In the era of big data, mass customization (MC) systems are faced with the complexities associated with information explosion and management control. Thus, it has become necessary to integrate the mass customization system and Social Internet of Things, in order to effectively connecting customers with enterprises. We should not only allow customers to participate in MC production throughout the whole process, but also allow enterprises to control all links throughout the whole information system. To gain a better understanding, this paper first describes the architecture of the proposed system from organizational and technological perspectives. Then, based on the nature of the Social Internet of Things, the main technological application of the mass customization–Social Internet of Things (MC–SIOT) system is introduced in detail. On this basis, the key problems faced by the mass customization–Social Internet of Things system are listed. Our findings are as follows: (1) MC–SIOT can realize convenient information queries and clearly understand the user’s intentions; (2) the system can predict the changing relationships among different technical fields and help enterprise R&D personnel to find technical knowledge; and (3) it can interconnect deep learning technology and digital twin technology to better maintain the operational state of the system. However, there exist some challenges relating to data management, knowledge discovery, and human–computer interaction, such as data quality management, few data samples, a lack of dynamic learning, labor consumption, and task scheduling. Therefore, we put forward possible improvements to be assessed, as well as privacy issues and emotional interactions to be further discussed, in future research. Finally, we illustrate the behavior and evolutionary mechanism of this system, both qualitatively and quantitatively. This provides some idea of how to address the current issues pertaining to mass customization systems.

No abstract

To improve conference management and realize self-served control by users, this paper proposes a specific design of tablet-based control software on video conference, incorporating demands of video conference systems in State Grid Corporation of China (SGCC). The software has been designed and implemented with studies on the system structure and key technologies as the bedrock. With in-depth analysis on various operations’ frequencies, streamlined interface, and exquisite designs, the software enables users to independently control regular conferences without on-site professional technicians. Moreover, it meets different demands for different scenarios, such as for public conference room and normalized management.

In the torpedo attack, the appropriate firing distance is the key to ensure the torpedo hit the target, it’s necessary to ensure the firing distance used is within the maximum firing distance. Therefore, under the premise of known firing conditions, it’s necessary to determine the maximum firing distance and be familiar with the factors that affect the value and the influencing rules of each factor. Based on the firing model of the acoustic homing torpedo, the expression of the maximum firing distance is established, and the main factors affecting the value are obtained. Through the simulation, the influence factors are analyzed quantitatively, and the rule of their influence on the maximum firing distance is founded out. This research can provide the necessary reference for the commanding officer in battle, in order to make full use of the research results and improve the hit probability of the acoustic homing torpedo.