Propose Strategies For Improvement Research Articles

Research on the Development Path of Study Tours for Primary and Secondary Schools based on SWOT Analysis

Intangible cultural heritage is an important symbol of the historical and cultural achievements of a country and nation, and is an important part of excellent traditional culture, while study tours are an important means to make intangible cultural heritage "come alive". With the development of economy and society and the improvement of people's living standard, China has entered a new era of mass tourism. Purely sightseeing-based tourism can no longer meet the desire of tourists to "seek new, different, knowledgeable and enjoyable". Through study tours, primary and secondary schools organize students to get out of campus, expand their horizons and knowledge in a life different from the usual, deepen their closeness to nature and culture, increase their experience of collective lifestyle and social morality, and enhance their self-care ability, innovation and practical ability. In this paper, we analyze the current situation of study tours in Shaoxing city, analyze the current situation and problems of the development of non-heritage study tours in Shaoxing city with the help of SWOT analysis, and propose improvement strategies to help the local study tours develop more healthily.

The static and dynamic carbon emission efficiency of transport industry in China

Transport industry is one of the major contributors to energy-related carbon emissions in China, thus becoming a topical area of concern where efforts to improve carbon emission efficiency need to be prioritized. By establishing a Static-Dynamic Efficiency (SDE) framework and using panel data from 30 provinces in China from 2010 to 2019, we develop a super slack-based measure model to assess the static efficiencies and potential for improvement of the TICEE at the provincial level, adopt the global Malmquist-Luenberger index to examine the dynamic changes in TICEE and the underlying driving factors, and propose improvement strategies by integrating the static and dynamic perspectives. We observe: (1) severe carbon emission inefficiency in transport industry in China, particularly in western, central and north-eastern regions; (2) a slow downward trend in static efficiency due to the slow progressing technological innovation; and (3) high potential for saving energy and reducing emissions in the provinces that fall into the “inefficient-deterioration” category. Our research findings extend the literature by bringing together the static and dynamic aspects into the SDE framework, as well as assist policy makers in better understanding the way to improve TICEE.

Electric Vehicle Charging Station Layout for Tourist Attractions Based on Improved Two-Population Genetic PSO

In this paper, the optimization issue of electric vehicle charging station layout (EVCSL) for tourist attractions is addressed, and an improved PSO is used to solve the optimization issue. Specifically, the improved particle swarm optimization (PSO) is proposed to obtain an appreciative planning solution of EVCSL, and dynamic weight adjustment strategy and integration into the two-population genetic mode are proposed to improve the optimization quality for PSO. Simulation results show that the proposed improvement strategies can increase the optimization quality for PSO effectively so that a more appreciative planning solution of EVCSL can be obtained.

Rolling Bearing Fault Feature Selection Method Based on a Clustering Hybrid Binary Cuckoo Search

In order to solve the low accuracy in rolling bearing fault diagnosis caused by irrelevant and redundant features, a feature selection method based on a clustering hybrid binary cuckoo search is proposed. First, the measured motor signal is processed by Hilbert–Huang transform technology to extract fault features. Second, a clustering hybrid initialization technique is given for feature selection, combining the Louvain algorithm and the feature number. Third, a mutation strategy based on Levy flight is proposed, which effectively utilizes high-quality information to guide subsequent searches. In addition, a dynamic abandonment probability is proposed based on population sorting, which can effectively retain high-quality solutions and accelerate the convergence of the algorithm. Experimental results from nine UCI datasets show the effectiveness of the proposed improvement strategy. The open-source bearing dataset is used to compare the fault diagnosis accuracy of different algorithms. The experimental results show that the diagnostic error rate of this method is only 1.13%, which significantly improves classification accuracy and effectively realizes feature dimension reduction in fault datasets. Compared to similar methods, the proposed method has better comprehensive performance.

Research on the Weighting Values of Community Aging-Friendly Construction Indexes With Different Expert Groups.

The construction of weight values for the indicators of community aging-friendly construction is helpful to guide the formulation of strategies for allocating elderly resources in community aging-friendly constructions, and to reflect the shortcomings of community aging-friendly constructions and propose improvement strategies when evaluating the effectiveness of the existing community aging-friendly constructions. The paper uses the Fuzzy Analytic Hierarchy Process (FAHP) to calculate the weighting values of each indicator, consulting the government, industry, and academic experts. The research results show that the weighting-value order is "public environment (W = 0.364)," "health care (W = 0.342)," "humanistic care (W = 0.204)" and "social economy (W = 0.090)." Accordingly, the article proposes specific suggestions to improve the effectiveness of community aging-friendly constructions, including the need to find consensus among all parties involved in the aging industry, the need to focus on improving the public environment of the community, and the need to improve the socio-economic policies as soon as possible.

Research on Accessible Design of Macau Museum for Disabled Groups

In today's society, the social or environmental problems that need to be solved and iteratively changed by people are becoming more and more complex. Along with the rising level of people's social life needs, people's demand for cultural life becomes more urgent, and museums become a brief habitat for people after work and study. The problems faced by people with disabilities in museums are not only about accessibility, but also about communication and interaction with other people and exhibits in the museum environment - the problem of barrier-free interaction. This study aims to explore the accessibility design of the Macao Museum, analyze the current situation of the hard and soft accessibility design of the Macao Museum, elaborate on the problems of the accessibility design of the Macao Museum, uphold the concept of humanized design, propose improvement strategies, and strive to help the disabled groups integrate into the public in their daily lives as much as possible through the humanized design of accessibility in all aspects.

Elective pediatric surgery: profile description of children and late referral identification.

Pediatric surgery receives great demand for referrals from primary care services in order to evaluate the need for surgical intervention. However access to this specialized evaluation and in intervention does not always occur at the appropriate time. This study aims to characterize the profile of pediatric patients electively operated in the western Paraná state region, between 2018 and 2020, and identify those who were lately referred to surgical evaluation. This is a descriptive, cross-sectional and retrospective study through the review of electronic medical records. The variables evaluated were sociodemographic data, information on underlying diseases, referral data, specialist assessment and surgical procedure. During this period, 410 patients underwent an elective surgical procedure, of which 289 were included in the research. The sample was predominantly male (72.3%) with a mean age of 57.9 months at the surgeons assessment and 59 months at the date of surgery. Most of the patients came from primary care (75%) and the most common pathology was inguinal hernia (39.1%). The mean time interval between referral through primary care and surgery was 4.98 months, and between the surgeons assessment and surgery was 1.21 months. Of the total sample, 77 (26.6%) patients were identified as being referred late for the surgical procedure. Knowing the profile of patients and the problems experienced in this region in relation to the care provided in pediatric surgery provides subsidies to propose improvement strategies not only for the health system in this location, but for several inner regions of Brazil in a similar situation.

Research on Design Quality Management Based on PDCA Quality Cycle Theory

Housing quality is the key to social stability and sustainable development of real estate. However, in the process of rapid development of the industry, in order to seize market share and accelerate the speed of capital turnover, real estate development companies ignore the control of project quality and have a weak awareness of design quality management. This paper takes the design quality management of A company as the research object, finds out the influencing factors of the design quality management of A company through the analytic hierarchy process, and uses the PDCA quality cycle theory to propose improvement strategies for the design quality management of A company, and also provides practical reference for the design quality management of other real estate enterprises' development projects.

Social media for emergency rescue: An analysis of rescue requests on Twitter during Hurricane Harvey

Social media plays increasingly significant roles in disaster response, but effectively leveraging social media for rescue is challenging. This study analyzed rescue requests on Twitter during the 2017 Hurricane Harvey, in which many residents resorted to social media to call for help. The objectives include: (1) understand the characteristics of rescue-request messages; (2) reveal the spatial-temporal patterns of rescue requests; (3) determine the social-geographical conditions of communities needing rescue; and (4) identify the challenges of using social media for rescue and propose improvement strategies. About half of rescue requests either did not provide sufficient information or neglected to include rescue-related hashtags or accounts. Of the 824 geocoded unique rescue requests, 41% were from FEMA-defined minimal flood risk zones. Communities sending more rescue requests on Twitter were environmentally and socioeconomically more vulnerable. Finally, we derived a framework summarizing the steps and strategies needed to improve social media use for rescue operations.

Gasto público y su incidencia en la calidad de vida de la población del distrito de Pacasmayo- 2019-2022

This research was carried out with the purpose of identifying the incidence of public spending in the Pacasmayo District Municipality, during 2019-2022, on the well-being of its population; Likewise, evaluate the budget and its execution, establishing the level of influence of the expense, proposing improvement strategies. The method was inductive-deductive, descriptive, correlational, observational, longitudinal, and mixed; using survey, budget evaluation, descriptive and inferential statistics. The sample was 39 municipal officials. The data was processed with MS Excel; Using Pearson, the association of factors was analyzed at 0.05 significance level. The findings were: efficient spending (85.02%); social spending, 61.61%; spending on basic services, 82.48%; in health, 2.44%; in education, 26.18%; in irrigation canals, 7%; in connectivity, 62.85%; investment in social programs, minimal (0.40%), by the commune; well-being, 19.32%. A high correlation (R=0.9288), very significant (p<0.01), was obtained between the municipal public expenditure of the district of Pacasmayo and the standard of living of its population, in the same way, a considerable association (R=0 .6970), significant (p = 0.011<0.05), in terms of the perception of the residents on the matter. It is concluded that public spending by the District Municipality of Pacasmayo was 85.02% efficient, and affects its well-being by 17.25%, in general terms.

Ameliorated equilibrium optimizer with application in smooth path planning oriented unmanned ground vehicle

To enhance the performance of equilibrium optimizer (EO) and expand its application for smooth path planning of the unmanned ground vehicle (UGV), an ameliorated equilibrium optimizer (AEO) is developed and applied to the UGV smooth path planning problem. The main characteristics of AEO are the population initialization by an opposition-based learning (OBL) strategy, the concentration updating by a centroid opposition-based learning (COBL) strategy, and the concentration updating by a proposed self-learning strategy. The three improvement strategies in the AEO enhance the optimization performance of EO through utilizing the information of the opposite space, the neighborhood space, and the whole population. The performance of AEO is examined by comparing it with several well-known algorithms on 29 commonly used benchmark functions. The comparison results show that the AEO is superior to the compared algorithms and ranks first in performance evaluation. Furthermore, a smooth path planning method AEO-HB is proposed by optimizing the control points from high-order Bezier curve based on the AEO. Simulation experiment results manifest that the AEO-HB solves the smooth path planning problem and ranks first among the compared algorithms for the performance evaluation in three different cases. The above results of numerical experiments and smooth path planning experiments indicate that the proposed improvement strategies in the AEO enhance the performance of solving global optimization problems, which makes the AEO have the potential to deal with global optimization problems in more types of application scenarios.

Image and Speech Recognition Technology in the Development of an Elderly Care Robot: Practical Issues Review and Improvement Strategies.

As the world's population is aging and there is a shortage of sufficient caring manpower, the development of intelligent care robots is a feasible solution. At present, plenty of care robots have been developed, but humanized care robots that can suitably respond to the individual behaviors of elderly people, such as pose, expression, gaze, and speech are generally lacking. To achieve the interaction, the main objectives of this study are: (1) conducting a literature review and analyzing the status quo on the following four core tasks of image and speech recognition technology: human pose recognition, human facial expression recognition, eye gazing recognition, and Chinese speech recognition; (2) proposing improvement strategies for these tasks based on the results of the literature review. The results of the study on these improvement strategies will provide the basis for using human facial expression robots in elderly care.

Development and Strategy Analysis of Short Video News Dissemination under the Background of Artificial Intelligence

With the gradual maturity of artificial intelligence (AI) technology, it is urgent to change and innovate the traditional media communication paradigm. Current research and application areas include language processing, image recognition, AI systems, intelligent video technology, and text recognition. With the rapid development of artificial intelligence technology, it is used in all walks of life in society. All sectors of society have also set off the exploration and application of artificial intelligence. In the field of news communication, artificial intelligence technology brings opportunities and challenges to the news industry in publishing news content forms and organizations. Exploring the new development trends and countermeasures of the news industry in the era of artificial intelligence has become a key topic for the news communication industry and academia. With the support of the huge communication network, the information transmission of short video news is more abundant. While people obtain information, it can also enhance the interactivity of the news. In a fast-paced society, short video news is undoubtedly closer to life. However, due to some reasons, human factors lead to incomplete access to information. In this paper, an intelligent neural network is proposed to be applied to an intelligent robot or intelligent system so that it can better obtain information to edit short video news and disseminate it, and compare it with the existing such machines or systems on the market today. This paper analyzes the development of short video news dissemination based on artificial intelligence and proposes improvement strategies based on specific examples.

Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning

Linear interpolation in the latent space may induce mismatch between the constructed data and the distribution a model was trained on. In this article, we propose an Adversarial Adaptive Interpolation-based AutoEncoder (AdvAI-AE). To constrain the interpolation path on the underlying manifold, an additional interpolation correction module is trained to offset the deviation between the linearly interpolated data points and the statistics of real ones in latent space. Furthermore, we apply prior matching to control the characteristics of the representation. Toward this end, the maximum mean discrepancy-based and adversarial regularizers are incorporated into the model. The synthesized data from random variables are in turn leveraged to regularize the interpolation process. The proposed improvement strategies lead to significant performance gains in downstream classification, clustering, and synthesis tasks on multiple benchmark datasets.

Strategy for Improving the Indoor Environment of Office Spaces in Subtropical Cities

Taiwan is located in a subtropical region with high temperatures and humidity. Office spaces are located in air-enclosed rooms in buildings, where doors and windows remain closed and only a central air-conditioning system provides temperature adjustment and ventilation. Most offices in this area have office seating areas, document storage areas on both sides of the office, and multi-function devices, which can cause sick office syndrome in the employees. This study applied environmental monitoring technology to analyze the architectural form and indoor and outdoor air quality to propose improvement strategies addressing indoor temperature, relative humidity and air quality. Quality indices were used created to evaluate the improvement efficiency. The analysis results showed that the indoor temperature and relative humidity in staff seating areas can be effectively improved. The statistical analysis results of improved efficiency for PM2.5, PM10 concentrations and total suspended particulates showed that the average indicator values have been raised from 0.05 to 1.5, 2.45 to 4.02 and 0.91 to 3.54, respectively, for staff seating area and −0.01 to 2.82, 0.15 to 3.91 and 1.25 to 7.25, respectively, for photocopier areas. The ambient air quality of this office space has been significantly improved. This study can serve as an example of air quality improvement in traditional common office spaces.

Analysis of Tourism Experience in Haizhu National Wetland Park Based on Web Text

Most studies on wetland parks focus on resource surveys and evaluations, park planning and design, and the construction of hardware facilities. Only a few studies have covered tourism experiences. With the rapid development of online media, online text data have become a prominent research direction for tourism experiences. Based on the web text analysis method and importance-performance analysis, Rost Content Mining 6 software was used. This served to analyze word frequency, semantic web analysis, and sentiment analysis, and to explain the web text about Haizhu National Wetland Park. It also helped to find problems experienced by tourists and their underlying reasons and proposed improvement strategies. The results showed that the overall quality of the tourism experience in Haizhu National Wetland Park was relatively high. However, some of the negative comments mainly focused on the lack of humanistic landscape construction, lagging infrastructure, and poor management services. By combining research results, improvement strategies were proposed that addressed infrastructure, management services, scenic spot publicity, ecological environmental protection, and so on. These could help to enhance tourism experiences.

Sand Cat Swarm Optimization Based on Stochastic Variation With Elite Collaboration

The sand cat swarm optimization (SCSO) is a new heuristic optimization algorithm that simulates the behavior of sand cat groups in the desert using hearing to hunt. To address the shortcomings of low accuracy of SCSO solution, slow convergence in late iterations and easy convergence stagnation, a sand cat swarm optimization based on stochastic variation and elite collaboration (SE-SCSO) was proposed. SE-SCSO first introduces a nonlinear periodic adjustment mechanism to balance the exploration and local exploitation ability of the algorithm and accelerate the convergence of the algorithm.Secondly, the pseudo-opposition and pseudo-reflection learning mechanisms are used to speed up the optimization-seeking efficiency of the SCSO algorithm and improve the global convergence capability. Designing elite collaborative strategies with random variation to enable the algorithm to jump away from the local extrema, further improving the algorithm’s optimization-seeking accuracy and convergence speed. In the simulation experiments, SE-SCSO is compared with Sand Cat Swarm Optimization (SCSO), Sine Cosine Algorithm (CSA), Circle Search Algorithm (SCA), Salp Swarm Algorithm (SSA), Harris Hawks Optimization (HHO), Whale Optimization Algorithm (WOA), and Golden Jackal Optimization (GJO) are tested for comparison. The experimental results validate the effectiveness of the proposed improvement strategies. Finally, SE-SCSO is applied to three engineering optimization problems. The results show that the improved strategy can effectively improve the performance performance of the algorithm, which gives SE-SCSO the advantages of high convergence accuracy, fast convergence, and the ability to jump out of local optimal solutions.

Application of lean six sigma methodology to improve the weight inconsistency problem of coffee powder packaging

This paper presents a continuous improvement (CI) project based on the application of Lean Six Sigma (LSS) methodology. This project was carried out at coffee manufacturing industry located in northern area of Malaysia. The focus of this presented CI project is to improve the weight inconsistency problem of coffee powder packaging. The presented CI project was mainly guided with Six Sigma methodology of Define, Measure, Analyze, Improve and Control (DMAIC) steps, and related Lean tools applications. The step of Define summaries the overall view of CI project. In the step of Measure, current level of sigma based on defect per million of opportunities (DPMO) calculation was determined. Initially, 6% of rejected products were recorded, which it presents the sigma level at 3.1. In the step of Analyze, a series of team-based activities towards root cause identification was carried out. It included the applications of cause effect (CE) analysis and possible causes prioritization and close observations on packaging process. In the step of Improve, the related Lean tool was proposed to improve the problem under study. In the final step of Control, related supportive actions were suggested to sustain the effectiveness of the proposed solution. There are fourteen possible causes are initially identified in CE analysis and based on team’s evaluation process of possible causes prioritization four causes are collectively to be the most possible of root cause(s). Three close observation sessions were carried out to finalize the most possible root cause of the problem. Result strongly suggested that the high variation of coffee powder’s size and inconsistency is the root cause. An improvement strategy based on Lean Manufacturing approach called ‘poka yoke’ is proposed. The proposed improvement strategy was then validated based on real packaging process scenario. Result shows that the proposed improvement strategy is significantly effective to solve the problem with 0% of reject product was recorded so far, where it is not only produced the product within the acceptable weight of 215 and 208 grams, but also presents the reduction of weight fluctuation that close to ideal weight of 208 grams.

Rare and hidden attractors in a periodically forced Duffing system with absolute nonlinearity

• The composite cell coordinate system (CCCS) method is modified to non-smooth systems. • Rare and hidden attractors of a non-smooth Duffing system are studied. • The accurate global properties such as attractor and basin can be obtained. • Hidden and rare attractors can be controlled by adjusting the amplitude. • The results show the effectiveness of our proposed improvement strategy. Hidden attractors and rare attractors are two kinds of special attractors in multistable systems, studying the appearance and properties of hidden attractors and rare attractors can increase the possibility of the system remaining on the ideal attractor and reduce the risk of sudden jump to unexpected behavior. This paper presents an investigation of the rare attractors and hidden attractors of a nonautonomous Duffing-like system with absolute function. Based on modified composite cell coordinate system (CCCS) method, the attractors and the corresponding basins are shown and the coexistence of multiple attractors is observed. By calculating the probability that the system is on each attractor, we discover different rare attractors in this system whose basins of attraction are extremely small. In addition, the equilibria of the system are calculated for a given set of parameters, according to the property that the hidden attractor does not contain any equilibrium, several hidden attractors are found for three parameter ranges. With the change of the amplitude of external excitation, the rare and hidden attractors appear in a very small parameter range. The results show that the modified CCCS method is a powerful tool to research the hidden and rare attractors in the non-smooth system.

Analysis of the competitiveness of pipeline maintenance service providers in oil wells in the state of Tabasco

In the industrial sector, it is important that companies have a high profitability, with strategies for the provision of services or product development that meet or exceed the demands of the market, this is called competitiveness. Maintaining a holistic approach within organizations requires the analysis and measurement of context variables, as well as the implementation of a culture of quality and continuous improvement. In the oil industry, well pipeline maintenance services are activities of the utmost importance to keep the energy sector productive, therefore it is important that companies engaged in this area be competitive. This study analyzes the impact of context variables on the competitiveness of companies that provide maintenance services to oil well pipelines, seeking that in a comprehensive manner and on the basis of the results obtained, determine the relationship they have with respect to their competitiveness, to propose improvement strategies that lead companies to evolve towards states of improvement with levels of competitiveness that allow them to position themselves at world-class levels.