Application of a Novel Nd:YAG/PPMgLN Laser Module Speckle-Suppressed by Multi-Mode Fibers in an Exhibition Environment

Laser exhibition technology has been widely used in the virtual environment of exhibitions and shows, as well as in the physical conference and exhibition centers. However, the speckle issue due to the high coherence of laser sources has caused harmful impacts on image quality, which is one of the obstacles to exhibition effects. In this paper, we design a compact Nd:YAG/PPMgLN laser module at 561.5 nm and use two different types of big-core multi-mode fibers to lower the spatial coherence. According to our experiment, the speckle contrasts relating to these two types reduce to 7.9% and 4.1%, respectively. The results of this paper contribute to improving the application effects of key optical components in the exhibitions. Only in this way can we provide technical supports and service guarantee for the development of the exhibition activities, and an immersive interactive experience for the audiences.

Big Data Precision Marketing Approach under IoT Cloud Platform Information Mining

In this article, an in-depth study and analysis of the precision marketing approach are carried out by building an IoT cloud platform and then using the technology of big data information mining. The cloud platform uses the MySQL database combined with the MongoDB database to store the cloud platform data to ensure the correct storage of data as well as to improve the access speed of data. The storage method of IoT temporal data is optimized, and the way of storing data in time slots is used to improve the efficiency of reading large amounts of data. For the scalability of the IoT data storage system, a MongoDB database clustering scheme is designed to ensure the scalability of data storage and disaster recovery capability. The relevant theories of big data marketing are reviewed and analyzed; secondly, based on the relevant theories, combined with the author’s work experience and relevant information, a comprehensive analysis and research on the current situation of big data marketing are conducted, focusing on its macro-, micro-, and industry environment. The service model combines the types of user needs, encapsulates the resources obtained by the alliance through data mining for service products, and publishes and delivers them in the form of data products. From the perspective of the development of the telecommunications industry, in terms of technology, the telecommunications industry has seen the development trend of mobile replacing fixed networks and triple play. The development of emerging technologies represented by the Internet of Things and cloud computing has also led to technological changes in the telecommunications industry. Operators are facing new development opportunities and challenges. It also divides the service mode into self-service and consulting service mode according to the different degrees of users’ cognition and understanding of the service, as well as proposes standardized data mining service guarantee from two aspects: after-sales service and operation supervision. A customized data mining service is a kind of data mining service for users’ personalized needs. And the intelligent data mining service guarantee is proposed from two aspects of multicase experience integration and group intelligence. In the empirical research part, the big data alliance in Big Data Industry Alliance, which provides data mining service as the main business, is selected as the research object, and the data mining service model of the big data alliance proposed in this article is applied to the actual alliance to verify the scientific and rationality of the data mining service model and improve the data mining service model management system.

Research on the Relationship Between Service Guarantee Perception and Customer Value in the Chinese Context

As an excellent management tool, service guarantee can improve the competitive advantage of enterprises and allow consumers to obtain high-quality products and services. However, in the current Chinese context, this tool has not played its proper function. One important reason is the perception deviation of Chinese consumers. This research analyzes the main reasons for this deviation, puts forward related hypotheses and research models, and discusses the influence of disposition to trust of contract, perceived structural assurance (PSA), and subjective norm on service guarantee perception (SGP). Also, this study discusses SGP of customers through perceived risk and quality. Through the verification of 574 sample data, the main conclusions are as follows: (1) Disposition to trust of contract, subjective norms, and PSA significantly affect SGP positively; (2) SGP positively affects customer value (CUV); and (3) SGP s are obviously different between people of different ages, education levels, and income levels. Hopefully, these conclusions can have the following enlightenment to enterprises serving Chinese consumers: (1) in the designing stage of service guarantee, perception of customers of this guarantee should be a consideration; (2) CUV can be a proper direction if an enterprise wish to lead the guarantee perception of the customer; (3) Not all products need the same level of service guarantee; and (4)The proper service guarantee level depends on various statistical characteristics of target customers of the service.

Understanding purchase motives to increase revenue growth: A study of nanostores in Indonesia

The occurrence of the Covid-19 pandemic has resulted in consumers being reluctant to go far to shop, so nanostores are a choice. There are thousands of nanostores in Indonesia. However, not all nanostores are in demand by consumers, some nanostores are abandoned because they cannot adapt to consumer needs. This study aims to find factors and dimensions of purchase motives that can be used to increase sales and revenue of nanostores. The study used an explanatory survey method. The survey was conducted on 210 nanostore consumers in the city of Bandung, Indonesia. The research data were analyzed using confirmatory factor analysis. The study results obtained three dimensions of consumer buying motives in nanostores: product attributes, self-orientation, and service guarantee. These are dimensions that consist of 12 factors and the majority of factors tend to be based on rationality or things related to healthy logic. To increase their revenue and growth, it is recommended that nanostore entrepreneurs understand consumer buying motives according to community conditions.

Revisiting the Universal Service Obligation Scheme

In this Journal’s tradition of revisiting past papers which have relevance to today’s events, this article reminds us of the value of the paper “Better telecommunications services for all Australians.” (2015) by Reg Coutts. This paper makes five interrelated recommendations to replace the current Universal Service Obligation (USO) policy in Australia, given the NBN rollout and customer preference for mobile services anywhere anytime. Some of its recommendations were arguably taken up by the Productivity Commission’s Public Inquiry into the USO in 2016-17, and implemented by the Australian Government in the form of a new Universal Service Guarantee.

Fair colorful k-center clustering

An instance of colorfulk-center consists of points in a metric space that are colored red or blue, along with an integer k and a coverage requirement for each color. The goal is to find the smallest radius $$\rho $$ ρ such that there exist balls of radius $$\rho $$ ρ around k of the points that meet the coverage requirements. The motivation behind this problem is twofold. First, from fairness considerations: each color/group should receive a similar service guarantee, and second, from the algorithmic challenges it poses: this problem combines the difficulties of clustering along with the subset-sum problem. In particular, we show that this combination results in strong integrality gap lower bounds for several natural linear programming relaxations. Our main result is an efficient approximation algorithm that overcomes these difficulties to achieve an approximation guarantee of 3, nearly matching the tight approximation guarantee of 2 for the classical k-center problem which this problem generalizes. algorithms either opened more than k centers or only worked in the special case when the input points are in the plane.

THE CONSTRUCTION OF PUBLIC SPORTS SERVICE GUARANTEE SYSTEM IN A HEALTHY COMMUNITY IN THE BACKGROUND OF PUBLIC HEALTH

ABSTRACT Community sports are a very important part of urban public service. It directly affects the quality of life of residents and plays an important role in improving the health level of the masses. However, there are still many problems in the current public sports service system, which hinders the provision of public health. In order to ensure the effectiveness of the indicators of community sports service guarantee system, this study uses the fuzzy analytic hierarchy process to construct the community public sports service guarantee system, and verifies the effectiveness of the system constructed by this method through an example application. The results show that the weight of each index from large to small is service effectiveness > residents' demand > service capacity > service content; the weight of service effectiveness is 48.46%, which is an important indicator of service guarantee system. In addition, the effectiveness of the community sports service system was verified, and the CR value of the evaluation index system was greater than 0.1, which showed that the consistency of the evaluation index system met the requirements. The public sports service guarantee system constructed by the research institute has good applicability and high practical value. I hope that the research results can provide some reference for the improvement of grass-roots sports service construction, and provide some theoretical support for the construction of grass-roots service evaluation system.

Adaptation of an Insulated Centralized Photovoltaic Outdoor Lighting Installation with Electronic Control System to Improve Service Guarantee in Tropical Latitudes

Sustainability and energy prices make the energy production from renewable sources necessary and photovoltaic energy is ideal on an urban scale and on isolated facilities. However, when the demand for energy is at night, as in lighting installation, the use of accumulative systems is necessary. The use of batteries can account for more than 70% of the budget of these systems and have a critical impact in the project. This problem increases when the installation’s location moves away from the equator, as the variation between the duration of days and nights increases. This implies that the system must be oversized to almost triple its generation and storage capacity to guarantee operation. This paper proposes the use of a robust and affordable electronic centralized management system that can regulate the consumption based on the energy available in the batteries. To test this system, a real case of outdoor lighting nanogrid has been used. The facility has been powered by a grouped photovoltaic battery system dimensioned for the average year solar conditions with and without consumption management. When used without regulation, in winter or cloudy days, there have been repetitive crashes of the system. On the other hand, with the use of the electronic control proposed, the shutdowns have been avoided, regulating the lighting level when necessary. Thus, more efficient and economically affordable systems can be designed which can help to spread the installation of isolated photovoltaic lighting.

Investigating the Determinants of App-based Land Transportation User Loyalty in Jakarta Using PLS-SEM Framework

This study aims to investigate user loyalty factors using application-based land transportation in Jakarta. The methodology in this study uses a quantitative approach and a questionnaire is used as an instrument to collect data. With an unknown population, this study used 301 samples of application-based land transportation users. The statistical method used to analyze the hypotheses in this study is Partial Least Square - Structural Equation Modeling (PLS-SEM) with WARP-PLS. Based on the results of statistical tests, it was found that 6 hypotheses were accepted, and 5 hypotheses were rejected. The result of this study explains that ease of using the application affects the loyalty in using application-based transportation. Meanwhile, loyalty is not influenced by application display, service responsiveness in applications, service adjustment, service guarantee and user attitudes. This research further explains that the ease of using the application, application display, service adjustment, and service guarantee affect the user's attitude. On the other hand, service responsiveness does not affect attitude towards using. As novelty, the use of the loyalty framework in this study uses the use attitude as a mediator of main factors in service quality for application-based transportation in urban areas. As a managerial implication, it is interesting that the results of this study explain that loyalty in the use of application-based transportation is not automatically formed from a positive attitude towards using. The adjustment of services provided on the application because of competition in the application-based transportation industry must be able to meet user expectations which tend to change according to the offers provided by service providers.

A cloud computing scheduling and its evolutionary approaches

<span>Despite the increasing use of cloud computing technology because it offers unique features to serve its customers perfectly, exploiting the full potential is very difficult due to the many problems and challenges. Therefore, scheduling resources are one of these challenges. Researchers are still finding it difficult to determine which of the scheduling algorithms are appropriate and effective and that helps increases the performance of the system to accomplish these tasks. This paper provides a broad and detailed examination of resource scheduling algorithms in the environment of a cloud computing environment and highlights the advantages and disadvantages of some algorithms to help researchers in selecting the best algorithms to schedule a particular workload to get a satisfy a quality of service, guarantee good utilization of the cloud resources also minimizing the make-span.</span>