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In recent years, customer relationships have been recognized by enterprises as a critical factor to succeed in their business. Effective customer relationships can help enterprises to deliver more satisfying products/services to customers based on their needs, preferences, or past transactions. This model, however, emphasizes the use of customer information to benefit enterprises; in contrast customers receive less information from enterprises. To address this problem, many technologies have been proposed such as recommendation systems and intelligent agents that provide customers with more information for their possible needs. However, these technologies still have some shortcomings that initiate the discussion of a new Consumer Support Systems (CSS) paradigm. CSS is specifically structured to provide consumers with effective information from enterprises to support their decision making. In this paper, we present an object-oriented method for the development of CSS that supports enhanced customer relationships by emphasizing on effective information provision from enterprises to consumers. The method starts from the identification of CSS characteristics, through the recognition of a system architecture that supports the realization of these characteristics, and finally ends with the analysis and design of architectural class objects that collaborate to realize these characteristics. The method is use case driven with UML and Petri nets notations utilized and extended as its modeling tool. To illustrate this, the method is applied to an exemplified CSS for book publishing.

During the past years, intelligent manufacturing has attracted enormous attention from both academia and industry. Smart factories/workshops/production lines are important carriers for realizing intelligent manufacturing. However, there are difficulties in smart factories in processing multi-source heterogeneous data, in integrating virtual and physical worlds, and in achieving continuous and iterative optimization with real-time feedback. Digital twin, which is able to deeply integrate physical and virtual worlds, provides an important technology for easing the difficulties mentioned above. The construction of a digital twin system can solve the problem of data fusion, analysis, processing, and applications in smart factory. Digital production lines are the foothold of a smart factory. Building a digital twin production line can facilitate rapid practice of digital twins and promote the development of intelligent manufacturing. To this end, this paper proposes a development framework for a digital twin production line with closed-loop control based on a mechatronics approach. The detailed development process is given based on the framework. The framework proposed may provide some inspiration and insights for design and development of digital twin production lines.

Detailed information of the velocity and the pressure field of blood flow is essential to establish an advanced diagnosis and treatment of serious circulatory diseases. Existing medical measurement equipments do not provide complete information of the blood flow in real-time. Although ultrasonography provides dynamic state of the blood flow and blood vessel form in real-time, available information of the blood flow is limited to Doppler velocity which is the flow velocity projected in the direction of the ultrasonic beam. In this paper, we develop a new blood flow measurement system applying Ultrasonic-Measurement-Integrated (UMI) simulation, that integrates ultrasonography and numerical simulation. The UMI simulation can reproduce an actual blood flow structure by including the information of the real blood flow to a numerical simulation. A prototype of the system consists of an ultrasonic diagnostic imaging equipment, a graphics workstation and a supercomputer. The system analyzes the flow structure of descending aorta with an aneurysm in real-time, displaying the information of the real flow such as velocity vectors, streak lines and pressure distribution. In order to synchronize the timing of pulsation of the UMI simulation with that of the diagnostic images, the system automatically adjusts the phase of the flow rate waveform by using measured Doppler velocity.

With the rapid development of information technology, the enterprise human resource management system based on cloud computing provides a new solution for global enterprises. The main work of this paper includes the following: This paper points out that the traditional human resource system based on an enterprise’s main body has scattered data storage and limited sharing ability. However, under the current situation of the highly developed Internet, all industries can improve the efficiency of business processing based on the network platform. Using configurable data management technology to solve the problem that the basic information storage format of multi-enterprise employees is not uniform. The system can provide relevant functions of human resource management for enterprise users through the way of service, and the enterprise pays for the purchased services, so as to better solve the problems of high operation and maintenance costs, insufficient data processing capacity, and so on. Using XML-based configuration file management technology, according to the attendance regulations of different enterprises and departments, the attendance policy is set up to realize the flexible management of attendance. According to the correlation model between attendance and salary, the information integration technology of cloud computing platforms is adopted to realize the automation of salary processing. Based on the Map/Reduce parallel processing model, the statistical processing of massive data is realized. The enterprise human resource management system based on cloud computing can provide a complete human resource management solution for the majority of enterprises. Enterprises can only purchase services, saving a lot of development and maintenance costs, but also can customize the functions to better meet users’ needs.

During the past years, intelligent manufacturing has attracted enormous attention from both academia and industry. Smart factories/workshops/production lines are important carriers for realizing intelligent manufacturing. However, there are difficulties in smart factories in processing multi-source heterogeneous data, in integrating virtual and physical worlds, and in achieving continuous and iterative optimization with real-time feedback. Digital twin, which is able to deeply integrate physical and virtual worlds, provides an important technology for easing the difficulties mentioned above. The construction of a digital twin system can solve the problem of data fusion, analysis, processing, and applications in smart factory. Digital production lines are the foothold of a smart factory. Building a digital twin production line can facilitate rapid practice of digital twins and promote the development of intelligent manufacturing. To this end, this paper proposes a development framework for a digital twin production line with closed-loop control based on a mechatronics approach. The detailed development process is given based on the framework. The framework proposed may provide some inspiration and insights for design and development of digital twin production lines.