Precise Marketing Strategy Optimization of E-Commerce Platform Based on KNN Clustering

With the development of computer technology and the arrival of the era of artificial intelligence, the analysis of user demand bias is of great significance to the operation optimization of e-commerce platforms. Combined with CS domain signaling data, IP packet data of PS domain, and customer CRM data provided by operators, this research studies each dimension index of operator user portrait, after that the operator user portrait platform is divided into some individual subunits, and then the corresponding data mining technology is carried out to study the implementation scheme of each subunit. The system can process and mine multidimensional data of operators’ users and form user portraits on the basis of user data aggregation. Finally, based on the operator user portrait platform studied in this paper, the operator user data are analyzed from both the user’s mobile phone use behavior and user consumption behavior. Furthermore, the application value of this research in the precision marketing and personalized service of operators is illustrated.

Design and Realisation of Scalable Business Process Management Systems for Deployment in the Cloud

Business Process Management Systems ( BPMSs ) provide automated support for the execution of business processes in modern organisations. With the emergence of cloud computing, BPMS deployment considerations are shifting from traditional on-premise models to the Software-as-a-Service ( SaaS ) paradigm, aiming at delivering Business Process Automation as a Service. However, scaling up a traditional BPMS to cope with simultaneous demand from multiple organisations in the cloud is challenging, since its underlying system architecture has been designed to serve a single organisation with a single process engine. Moreover, the complexity in addressing both the dynamic execution environment and the elasticity requirements of users impose further challenges to deploying a traditional BPMS in the cloud. A typical SaaS often deploys multiple instances of its core applications and distributes workload to these application instances via load balancing. But, for stateful and often long-running process instances, standard stateless load balancing strategies are inadequate. In this article, we propose a conceptual design of BPMS capable of addressing dynamically varying demands of end users in the cloud, and present a prototypical implementation using an open source traditional BPMS platform. Both the design and system realisation offer focused strategies on achieving scalability and demonstrates the system capabilities for supporting both upscaling, to address large volumes of user demand or workload, and downscaling, to release underutilised computing resources, in a cloud environment.

Ubiquitous Networks: A Need of Future World of Things

With an exponential increase in the number of applications and user demand, it is essential to respond to the query of users with fast services and networks used. This is possible only by the use of ubiquitous networks supporting mass media communications. The integration of advanced technologies such as Communication, Navigation and Sensing Services (CONASENSE) and Human Bond Communications (HBC) takes care of sensing, services, data, speed, cooperation, content, and cost of communication. The combination of Data, Technology, and Media used for intelligent computation and communication over the internet could serve the purpose, and that’s the urgent demand of growing networks marching towards a fusion of IoT and 5G leading to 6G. IoT with 5G will be the backbone of networks in the future generation network, adding the concept of virtualization at Anytime, Anywhere, Anything, and Anybody. The definition of ubiquitous technology considers it networked, wireless and mobile, to connect a more significant number of users and the world around them. The ubiquitous network connects the D2D, M2M, D2M and uses the ICT and Cloud-based technology to mitigate the QoS parameters. The paper’s primary contribution is the proposal of 6G enabling technologies and use cases to demonstrate the need and integration of various prime techniques as IoT++5G++Cloud++AI/ML. The technology road map and proposed C6-WISDOM model illustrate the fundamentals of enabling future ubiquitous networks (6G). It also focuses on the critical requirements of 6G technology in support of ubiquitous networks and identifies the present technologies integrated to provide vertical sustainable wireless networking solutions.

Co-Design Block PA (Power Amplifier)-Antenna for 5G Application at 28 GHz Frequency Band

This subject addresses the issue related to Transmitters for the new communication standard, namely 5G. Indeed to respond to the problems of radio coverage, the speed of services as well as the rise in user demand, transmitters must have ideal characteristics to be able to meet these requirements. This chapter proposes in order to answer such a problem a block made up of a linear array of antennas has 4 elements and a transistor amplifier operating at the 28 GHz frequency band. The Design of the Block is done first by the design of the antenna then the design of the amplifier and finally the junction of the two devices with a matching network to therefore form the block of transmitters Speaking of the design of the antenna, the prepared antenna is a patch antenna with a patch shape excluding the classic shapes which is printed on a Rogers-Duriod 5880 substrate so the thickness is 0.127 mm, the linear antenna array proposed has a gain greater than 15 dB and a Good Bandwidth, the transistor amplifier is in turn printed on the same substrate has the same thickness to minimize the losses during the junction of this one with the antenna, this amplifier offers a higher gain than device 15 dB and therefore the Bandwidth is greater than 2 GHz, each transmitter has an input and output reflection coefficient of less than −10 db. The simulation of each transmitter is made with the CST-microwave software for the Antenna and the ADS (Advanced Design System) software for the amplifier and the Block PA-Antenna. It is important to note that the Block output impedance is 50 ohms making our device more practical and easily commercial.

Calculation of Collectors for Social Housing in Different Climate Floors of Ecuador

Ecuador has significant potential in the renewable energy industry, to which solar energy contributes. The current investigation proposes a method to determine the savings when using solar collectors. The analysis is made for social housing projects located in different climate environments around the country: dry tropical megathermic (coast), semi-humid equatorial mesothermic (mountains), rainy megathermic (amazon), equatorial highlands (equatorial highlands). The cases studied are located in: Pasaje, El Oro; Cuenca, Azuay; Huamboya, Morona Santiago; and Chordeleg, Azuay. The method used in this research is an evaluation of drinking water per user demand (litter/person/day) which can determine the annual energetic demand. Furthermore, from the geographic location, the average solar radiation, and useful hours of sunshine are obtained. Then, these are used to obtain the available net annual energy. Furthermore, a relationship between demand and available energy is obtained for the solar collectors that satisfy the demand for the different locations studied. Finally, an analysis of the cost of implementing this technology and the projected savings in comparison to using hydrocarbons to heat domestic hot water is presented.

From Traditional to Smart Building Materials in Architecture

Building materials from traditional to contemporary and from traditional to high-performance materials in architecture and their implementation in energy-efficient constructions can be compared with smart ones? Can we bring these materials to superior performance? Building materials in general, either smart, energy efficient or with new performance, are based on the same traditional materials. A material is considered to have special properties only when it contributes to the improvement of construction criteria. With all these advances in construction techniques and architecture, along with end-user demand for 2021 buildings, as architects we will need to introduce something new and smart to meet their requirements and needs. We can build intelligently and at the same time use traditional materials or current construction, needs guide us to a new era of building materials, high-performance materials, smart, etc. This abstract is a comparison between the high performance direction that is foreseen in the future in building with intelligent materials and returning to nature by using traditional building materials to build just as efficiently. This transformation is possible and to what extent the new requirements can bring traditional materials to these standards. The paper is an overview of the types of materials that can be used in construction and architecture, thus offering a new perspective on innovative techniques that will be available or are already available that improve this field. The comparison between classical concrete and concrete that changes the image of architecture through the created image or between traditional and performance materials for building envelopes are only a small part of the options available for use in construction and architecture.

Systematic Literature Reviews in Kansei Engineering for Product Design—A Comparative Study from 1995 to 2020

Individual products and models on the market must be specifically differentiated from the rest to meet user demand. In terms of consumer purchasing behaviour, consumers increasingly base their decisions on subjective terms or the impression that the product leaves on them, both in terms of functionality, usability, safety, and price adequacy, and regarding the emotions and feelings that it triggers in them. This demand has lead both Asia and Europe to implement new methodologies to develop new products, such as “emotional design” or Kansei engineering. This paper presents a systematic literature review (SLR) on the most relevant methodologies based on Kansei engineering and their relevant results in the specific discipline of product design, addressing these five questions: (RQ1) How many studies on KE and emotional design are there in the Scopus and Web of Science (WoS) databases from 1995 to February 2021? (RQ2) Which research topics and types of KE are addressed? (RQ3) Who is leading the research on KE and emotional design? (RQ4) What are the benefits and drawbacks of using and applying the methodology? (RQ5) What are the limitations of the current research? We analysed 87 studies focusing on the Kansei methodology used for product design and device technologies (e.g., shape design, actuators, sensors, structure) and aesthetic aspects (e.g., Kansei words selection, the quantification of measured emotions of results, and detected shortcomings), and provided the database with all the collected information. One identified and highlighted sector in the results is the electronic–technological-device sector. Results confirm that this type of methodology has a majority and direct application in these sectors, and they are widely represented in the automotive and electronics industries. Lastly, this SLR provides researchers with a guide for comparative emotional-design work, and facilitates future designers who want to implement emotional design in their work by selecting the specific type according to the results of the SLR.

Feature Matching Synchronized Reasoning from Energy-Based Memory Network for Intelligent Data Management in Cloud Computing Data Center

A cloud data center for software-as-a-service (SaaS) was built for the purpose of stably managing these server computers in one place in order to provide an uninterrupted service, not only for a stable power supply and security but also for the efficient data management. To manage such a data center efficiently, it is important to build a cloud database with structured storage above all else. In recent decades, many studies have focused on designing cloud data centers and most of the research has focused on communication traffic, routing, topological issues and communication technology. However, in order to build an efficient cloud database that can support user demand, the most sophisticated intelligent system, based on AI technology and considering user convenience, should be designed. From this viewpoint, adopting human brain functions, Energy-Based Memory Network was designed for a knowledge-based frame of an intelligent system. And its event-related synchronized data extraction mechanism was proposed. In particular, a Thinking Thread extraction phase was implemented for the reasoning process using qualia matching and a deep extraction method in a cloud database. The purpose of this approach is to design and implement an intelligent cloud database that has an efficient structure and mechanism for supporting user demand and providing accurate, prompt services. In experiments, the working phase of the functions was simulated with data and analyzed. As a result, it was confirmed that the proposed system works well and intelligently for the design purpose.