Propose Strategies For Improvement Research Articles

A framework for improving UAV decision of autonomous navigation from training to application migration under perceptual uncertainty

Unmanned aerial vehicles (UAVs) autonomous navigation based on reinforcement learning usually requires training agents in simulation scenarios and then transferring the trained agents to application scenarios. However, due to serious distribution mismatch between the idealized simulation scenario and the application environment and the inevitable uncertainty perception problem of airborne sensors in complex scenarios, the navigation performance of UAV under migration applications is not ideal. This work fully analyzes the factors that affect UAV navigation performance, including algorithm performance, training strategy, and state awareness. Based on the analysis results, this article proposes a framework to improve the autonomous navigation performance of UAVs in the migration process from training to application, which consists of three parts: ‘scenario-perception-algorithm’. In addition, this paper proposes improvement strategies for each part from the perspectives of spatial features, temporal features, and perceptual denoising. We combine the proposed framework with navigation algorithms to improve the navigation decision-making performance of UAVs in migration applications under uncertainty perception. Many simulation experiments demonstrate the effectiveness of the proposed framework and its robustness to uncertainty perception.

Smart Bracelet Design and Function Improvement

With the increasing development and popularity of smart wearable devices, smart bracelets have become one of the hottest smart devices today. Through a comparative analysis of existing products, this paper proposes improvement strategies in the three main directions of UI and module design, security, and handling of health issues to provide a product that is easier to use and meets the health needs of the elderly. For the direction of UI and module design, it is proposed to add the gesture recognition function and develop it in the direction of non-contact recognition based on the existing technology, and at the same time, use machine learning to achieve personalized recognition. Based on personalized module design, a GPS tracking device is installed to prevent users from being tracked, and a new network module is added to enable users to get in touch with others at a time when they encounter danger in remote areas. Improvement strategies in the security direction include data transmission, storage, and device security. The smart bracelet can use trusted computing for data encryption and storage by adding low-power core and optimizing the data transmission in three paths: local area network (LAN), public network (PN), and the cloud.Regarding health problem processing, it is proposed to achieve fall prevention through scene recognition and optimize the fall detection function through user information. In addition, this paper takes UV irradiation as an example to point out that smart bracelet devices can be added with new indicator detection technology to prevent some diseases. At the same time, a full voice interaction system can be developed to meet the social needs of the elderly.

Research on the Problems and Countermeasures of Minimart Inventory Management from the Perspective of Supply Chain

Inventory management is an important part of enterprise operations. By keeping inventory at a manageable level, one may cut expenses overall, prevent overstocking and out-of-stock situations, limit inventory fund usage, and quicken fund turnover. Compared to supermarkets, minimarts usually have characteristics such as a wide variety of goods, frequent circulation, a smaller warehouse, a lack of professionalism in inventory management and so on, which makes their inventory management different. Only by doing a good job in inventory management can minimarts not fall behind in competition with supermarkets, and can minimarts achieve healthy and sustainable development. This article mainly discusses the importance and existing problems of inventory management in minimarts, such as the costs of inventory management in minimarts are at a high level, less attention to inventory management, serious inventory backlog, overdue goods and insufficient inventory. Then propose improvement strategies that can help minimart have better inventory management to increase economic benefits.

L’égalité d’accès à l’enseignement supérieur dans les universités marocaines : défis et stratégies

This article examines the challenges and potential strategies for ensuring equitable access to higher education in Moroccan universities. It addresses how these strategies can contribute to the country's socio-economic development by improving inclusion. The first part identifies the main challenges faced by Moroccan universities, including regional disparities, funding, and socio-cultural barriers to education. The second part proposes improvement strategies such as increasing investments in educational infrastructure, implementing inclusive policies, and adopting modern educational technologies. The third part assesses the potential impact of these strategies on Morocco's socio-economic development, focusing on promoting educational equity and excellence. The discussions and results underscore the importance of inclusive and adapted educational policies to foster a more equitable and prosperous Moroccan society. This study contributes to the literature on higher education in Morocco and offers perspectives for future research.

Evaluación de la interconsulta virtual por los profesionales de atención primaria: dimensiones de la calidad y oportunidades de mejora

ObjectiveTo know the opinion of Aragon primary care physicians about virtual consultation and its impact on the different healthcare quality domains. DesignCross-sectional study through a self-developed survey. Data collection was enabled from April 14th to May 31st, 2023. SitePhysicians with healthcare duties in primary care in Aragon. ParticipantsSpecialist physicians and resident interns in Family and Community Medicine. MeansurementsJob characteristics, Likert variables assessing virtual consultation as a tool and its impact on healthcare quality domains, identification of advantages and disadvantages, and free answer questions proposing improvement strategies. Results202 responses. 90.1% of participants consider virtual consultation useful, while 67.8% believe that it improves the quality of referrals. The main advantages identified are its contribution to professional enrichment and the integral visión of the patient, and the improvement of communication between the primary and secondary levels of care; the main drawback is the role of Primary Care as an intermediary in patient information. Efficiency and equity were the most highly rated quality domains, with safety being the least valued. ConclusionsVirtual consultation can promote communication and coordination of care, and enhance the primary care resolution capacity. Its success relies on training and time for its use, as well as on reaching a consensus on protocols and to homogenize resource distribution. Nevertheless, there are still opportunities for improvement, mainly in the realm of safety.

Assessing environmental impact in brass component companies through life cycle assessment: a case study of brass crafts smes

Sampurna Kuningan is a small and medium enterprises (SMEs) specializing in creating various brass metal handicraft products. They need to improve their efficiency in producing brass door handles within their manufacturing process. The issues mainly revolve around two tasks - dipping and refining processes. At the finishing stage, the chemical solution left from brass cleaning is improperly treated and disposed of in the sewer, wasting resources. This study’s primary objective is to evaluate the eco-efficiency index (EEI) value and propose improvement strategies to reduce the environmental impact caused by their production activities. The eco-efficiency measurement involves comparing the financial performance represented by the net value and the environmental performance measured as eco-cost. The eco-cost is calculated using a life cycle assessment through the Sima-Pro software. The results of the calculations indicate an EEI value of 2.22. The production process is both economically affordable and sustainable. However, there is a relatively high environmental impact during the finishing process. Improvement scenarios for this process include implementing water treatment or substituting finishing chemicals. Using citric acid for a brass door handle yields a significant average reduction in eco-cost, reaching approximately 50%.

Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism

Bounding box regression (BBR) is one of the core tasks in object detection, and the BBR loss function significantly impacts its performance. However, we have observed that existing IoU-based loss functions suffer from unreasonable penalty factors, leading to anchor boxes expanding during regression and significantly slowing down convergence. To address this issue, we intensively analyzed the reasons for anchor box enlargement. In response, we propose a Powerful-IoU (PIoU) loss function, which combines a target size-adaptive penalty factor and a gradient-adjusting function based on anchor box quality. The PIoU loss guides anchor boxes to regress along efficient paths, resulting in faster convergence than existing IoU-based losses. Additionally, we investigate the focusing mechanism and introduce a non-monotonic attention layer that was combined with PIoU to obtain a new loss function PIoU v2. PIoU v2 loss enhances the capability to focus on anchor boxes of medium quality. By incorporating PIoU v2 into popular object detectors such as YOLOv8 and DINO, we achieved an increase in average precision (AP) and improved performance compared to their original loss functions on the MS COCO and PASCAL VOC datasets, thus validating the effectiveness of our proposed improvement strategies.

Towards an Evaluation System of Disabled Individuals’ Friendly Communities from the Perspective of Inclusive Development—A Case Study in Jinan

The quality of travel for residents has improved in China’s urban renewal development, but there are still barriers to the activities of disadvantaged groups like people with disabilities in the city, including challenges with accessible travel and a lack of accessible design. All urban people should have access to services and be guaranteed equal rights, according to the inclusive development theory. This study examines the travel requirements and behavioural patterns of the barrier-free groups to safeguard the right of underprivileged groups to participate equally in the urban space. It also determines the impact of various types of urban land use and service facilities on the distribution of barrier-free facilities. An evaluation system based on the needs of the disabled group is established to evaluate the degree of barrier-free facilities in the surveyed areas, summarise the problems shown by the evaluation scores, and propose improvement strategies for the shortcomings of accessibility to residential areas and the controversy through web data crawling and a geographically weighted analysis. From the standpoint of inclusive development, the goal is to lessen the travel issues faced by underprivileged groups and to improve their capacity to take advantage of opportunities and have access to resources.

Kansei engineering with online review mining methodology for robust service design

Kansei Engineering (KE) has shown its prominent applicability in service design and development, focusing on translating and interpreting customers’ emotional needs (Kansei) into service characteristics. It is critical and promising as the services sector has grown faster than the manufacturing sector in developing economies in the past three decades. It accounted for an average of 55% of GDP in some developing economies. KE’s flexibility in collaborating with other methods and covering various service settings shows its unique superiority. However, there is criticism of the collected Kansei’s validity and the proposed solution’s robustness. It might be potentially caused by the dynamics of customer emotional needs and various service settings. As a result, Kansei is found to be somewhat fuzzy, unclear, and ambiguous. Hence, a more structured KE methodology incorporating the Kansei text mining process for robust service design is proposed. Kansei text mining approach will extract and summarize service attributes and their corresponding affective responses based on the online product descriptions and customer reviews. The Taguchi method will support the robustness of the proposed improvement strategy. An empirical study of a zoo as a tourism attraction service and its practical implication is discussed and validated in the proposed integrative framework.

Intelligent Maneuver Strategy for a Hypersonic Pursuit-Evasion Game Based on Deep Reinforcement Learning

In order to improve the problem of overly relying on situational information, high computational power requirements, and weak adaptability of traditional maneuver methods used by hypersonic vehicles (HV), an intelligent maneuver strategy combining deep reinforcement learning (DRL) and deep neural network (DNN) is proposed to solve the hypersonic pursuit–evasion (PE) game problem under tough head-on situations. The twin delayed deep deterministic (TD3) gradient strategy algorithm is utilized to explore potential maneuver instructions, the DNN is used to fit to broaden application scenarios, and the intelligent maneuver strategy is generated with the initial situation of both the pursuit and evasion sides as the input and the maneuver game overload of the HV as the output. In addition, the experience pool classification strategy is proposed to improve the training convergence and rate of the TD3 algorithm. A set of reward functions is designed to achieve adaptive adjustment of evasion miss distance and energy consumption under different initial situations. The simulation results verify the feasibility and effectiveness of the above intelligent maneuver strategy in dealing with the PE game problem of HV under difficult situations, and the proposed improvement strategies are validated as well.

Green vehicle routing using mixed fleets for cold chain distribution

Introducing clean energy into urban cold chain distribution to achieve a green transition is crucial for reducing transportation and logistics emissions and promoting sustainable urban development. This study focuses on the Cold Chain Green Multi-Depot Vehicle Routing Problem with Time Windows and Mixed Fleets (CC-GMD-VRPTW-MF) for city logistics distribution, utilizing both electric vehicles (EVs) and gasoline and diesel vehicles (GDVs). To accurately assess energy consumption, a realistic energy consumption model is employed. The CC-GMD-VRPTW-MF aims to minimize total costs (including fixed, energy consumption, damage, and environmental costs). To address the problem, we propose an improved Variable Neighborhood Search (VNS) algorithm that introduces a new balanced mechanism for perturbation and a new memory-based mechanism for local search to enhance computational performance. Numerical studies on newly designed CC-GMD-VRPTW-MF instances are conducted to investigate the effect of incorporating EVs for joint delivery, considering different carbon prices, and adjusting time windows. Furthermore, we evaluate the effectiveness of the proposed improvement strategies in VNS and demonstrate the algorithm’s performance on benchmarks of related problems.

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.