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Analyzing the spatial relationship between land surface temperature and elevation in three gullies locations in southeastern Nigeria 分析尼日利亚东南部三个沟壑地区地表温度与海拔之间的空间关系
Pub Date : 2024-03-30 DOI: 10.30574/wjaets.2024.11.2.0046
Jeremiah Uriah Richard, I. A. Abah, Godwill Tamunobiekiri Pepple, Francis York
Gully erosion is a dangerous phenomenon that threatened human existence, plants and animals communities. Families are being separated from their ancestral home and livelihood due to gully erosion. Also, available agricultural lands to combat food insecurity are contently depleted on yearly basis across the globe as a result of gullies menace. Southeastern Nigeria is highly vulnerable to gully erosions due to it geology and studies on spatial relationships between gully LST and elevation has not been carried out, particular by applying remote sensing and GIS technique to investigate it variations. Available studies where limited to mapping and causes of gully erosion in the region. The study applies LST and elevation data to investigate correlation on three gullies locations. LST was derived from Landsat data and was first converted to radiance image while the elevation data was obtained from Google Earth image. Elevation data was used to produce raster surface in that cell values equivalent to LST at every point can be extracted. Three sets of paired sample points of LST and elevation was extracted from the three gullies locations and used to compute correlation coefficient (r). The study observed at Nanka gully a strong negative correlation of -0.665. This implies an increase in LST correspond to decrease in elevation within the gully. At Ekwolobia and Aguluezechukwu gullies sites, positive correlation coefficient of 0.692 and 0.910 were obtained. The positive correlation coefficients implied that LST and elevation increase or decrease within the gullies. This might be due to unequal distribution of radiation within gully surface as a result of three canopies. For further study, it is recommended that improve elevation data source like LiDAR elevation data should be use to investigate spatial correlation between LST and elevation at gully location.
沟壑侵蚀是一种威胁人类生存和动植物群落的危险现象。由于沟壑侵蚀,许多家庭与祖先的家园和生计分离。此外,由于沟壑的威胁,全球用于应对粮食不安全问题的可用农田每年都在不断减少。由于地质原因,尼日利亚东南部极易受到沟壑侵蚀,而有关沟壑 LST 与海拔之间空间关系的研究尚未开展,特别是通过应用遥感和地理信息系统技术来研究其变化。现有研究仅限于绘制该地区沟壑侵蚀的地图和原因。本研究应用 LST 和海拔数据调查了三处沟壑的相关性。LST 来自 Landsat 数据,首先转换为辐射图像,而海拔数据则来自 Google Earth 图像。高程数据用于生成栅格表面,从而提取出每个点上相当于 LST 的单元值。从三个沟壑位置提取了三组 LST 和海拔的配对样本点,用于计算相关系数 (r)。研究发现,南卡沟的负相关系数为-0.665。这意味着 LST 的增加与沟谷内海拔的降低相对应。在 Ekwolobia 沟和 Aguluezechukwu 沟,正相关系数分别为 0.692 和 0.910。正相关系数表明,沟谷内的 LST 和海拔有增有减。这可能是由于三个树冠导致沟谷表面的辐射分布不均。为进一步研究,建议使用改进的高程数据源(如激光雷达高程数据)来研究沟谷位置的 LST 与高程之间的空间相关性。
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引用次数: 0
Study of environmental risk levels due to organic solid waste on the Andrés Avelino Cáceres Platform in the District of José Luis Bustamante y Rivero-Arequipa 何塞-路易斯-布斯塔曼特-伊里韦罗-阿雷基帕地区安德烈斯-阿韦利诺-卡塞雷斯平台有机固体废物造成的环境风险水平研究
Pub Date : 2024-03-30 DOI: 10.30574/wjaets.2024.11.2.0086
Matilde Yupanqui, Matilde Yupanqui Mendoza, Virginia Luisa, Pérez Murillo, Kely Olave Baez
The Nueva Esperanza Market located on the Andrés Avelino Cáceres Platform is a high traffic area, as it is the largest market in Arequipa. The levels of environmental risk due to solid organic waste were studied in the areas of vegetables, fruits, tubers and around the market in these areas. The methodology consisted of three field trips for data collection, carried out through observation and recording of records of environmental impact factors, which allowed the formulation of environmental risk matrices in the natural environment and in the human environment. According to the results obtained through the use of the various tables and matrices, in the assessment of environmental impacts a value of – 15 was obtained, which indicates an impact that is severe and reversible, if corrective and improvement measures are taken immediately. keep going. In estimating the severity of the consequences of an environmental risk in the natural environment, the vegetable area has the highest risk severity with a value of 16 and a total score of 4, followed by the fruit area and the market surroundings. Regarding the severity of the consequences of an environmental risk in the human environment, the area of vegetables and fruits has a value of 18 and a total score of 5. Concluding that the risks in the identified scenarios of vegetables and fruits have a severity of high risk, followed by the tuber area and surroundings of the market.
位于安德烈斯-阿韦利诺-卡塞雷斯平台上的新埃斯佩兰萨市场是阿雷基帕最大的市场,人流量很大。在这些区域的蔬菜、水果、块茎作物区和市场周围,对固体有机废物造成的环境风险水平进行了研究。研究方法包括三次实地考察,通过观察和记录环境影响因素来收集数据,从而制定自然环境和人类环境的环境风险矩阵。根据使用各种表格和矩阵得出的结果,在对环境影响进行评估时,得出的数值为 -15,这表明如果立即采取纠正和改进措施,影响是严重的,并且是可逆的。在估算自然环境风险后果的严重性时,蔬菜区的风险严重性最高,数值为 16,总分 4 分,其次是水果区和市场周边地区。至于人类环境中环境风险后果的严重性,蔬菜和水果区的数值为 18,总分 5。由此得出结论,在已确定的情景中,蔬菜和水果的风险严重程度为高风险,其次是块茎区和市场周边地区。
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引用次数: 0
Innovative teaching methodologies in the era of artificial intelligence: A review of inclusive educational practices 人工智能时代的创新教学方法:全纳教育实践综述
Pub Date : 2024-03-30 DOI: 10.30574/wjaets.2024.11.2.0091
Idowu Sulaimon Adeniyi, Olabisi Oluwakemi Adeleye, Chima Abimbola
Artificial intelligence (AI) is revolutionizing the field of education, offering new opportunities to enhance learning experiences and promote inclusive educational practices. This review explores the impact of AI on teaching methodologies and its role in creating inclusive learning environments. By examining current research and practices, this review highlights the potential of AI to address diverse learning needs and promote equity in education.The review begins by discussing the role of AI in personalized learning, where AI algorithms analyze student data to provide tailored instruction and feedback. This approach allows educators to cater to individual learning styles and preferences, ensuring that all students have access to high-quality education. Additionally, AI-driven adaptive learning systems can identify and address learning gaps, providing targeted interventions to support students who may be struggling. Furthermore, the review explores the use of AI in facilitating collaborative learning environments, where students work together on projects and tasks. AI technologies can enhance collaboration by providing tools for communication, coordination, and knowledge sharing. This approach promotes inclusivity by allowing students to contribute their unique perspectives and skills to group projects. The review also discusses the potential of AI in promoting accessibility and inclusivity for students with disabilities. AI-powered assistive technologies can provide additional support and accommodations, allowing students with disabilities to fully participate in educational activities. Additionally, AI-driven captioning and translation tools can improve accessibility for students who are deaf or hard of hearing, as well as those who speak languages other than the primary language of instruction. Overall, this review highlights the transformative potential of AI in education and its ability to promote inclusive educational practices. By leveraging AI technologies, educators can create more personalized, collaborative, and accessible learning environments, ensuring that all students have the opportunity to succeed.
人工智能(AI)正在彻底改变教育领域,为提升学习体验和促进全纳教育实践提供了新的机遇。本综述探讨了人工智能对教学方法的影响及其在创建全纳学习环境中的作用。通过研究当前的研究和实践,本综述强调了人工智能在满足不同学习需求和促进教育公平方面的潜力。综述首先讨论了人工智能在个性化学习中的作用,即人工智能算法分析学生数据,提供量身定制的教学和反馈。这种方法使教育工作者能够迎合个人的学习风格和偏好,确保所有学生都能获得高质量的教育。此外,人工智能驱动的自适应学习系统可以识别和解决学习差距,提供有针对性的干预措施,为可能有困难的学生提供支持。此外,本综述还探讨了人工智能在促进协作学习环境中的应用,在这种环境中,学生共同完成项目和任务。人工智能技术可以通过提供沟通、协调和知识共享工具来加强协作。这种方法允许学生为小组项目贡献自己独特的观点和技能,从而促进了包容性。综述还讨论了人工智能在促进残疾学生的无障碍环境和包容性方面的潜力。人工智能驱动的辅助技术可以提供额外的支持和便利,让残疾学生能够充分参与教育活动。此外,人工智能驱动的字幕和翻译工具可以提高失聪或听力障碍学生以及使用非主要教学语言的学生的无障碍性。总之,本综述强调了人工智能在教育领域的变革潜力及其促进全纳教育实践的能力。通过利用人工智能技术,教育工作者可以创建更加个性化、协作性和无障碍的学习环境,确保所有学生都有机会取得成功。
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引用次数: 0
A comprehensive review of strategic management practices in satellite telecommunications, highlighting the role of data analytics in driving operational efficiency and competitive advantage 全面回顾卫星电信战略管理实践,强调数据分析在提高运营效率和竞争优势方面的作用
Pub Date : 2024-03-30 DOI: 10.30574/wjaets.2024.11.2.0099
Nneka Adaobi Ochuba, David Olanrewaju Olutimehin, Olusegun Gbenga Odunaiya, Oluwatobi Timothy Soyombo
Satellite telecommunications play a crucial role in modern connectivity, enabling global communication, broadcasting, and internet access. This paper presents a comprehensive review of strategic management practices in the satellite telecommunications industry, with a particular focus on the role of data analytics in enhancing operational efficiency and achieving competitive advantage. The satellite telecommunications sector is characterized by rapid technological advancements, evolving market dynamics, and increasing demand for bandwidth-intensive services. To thrive in this competitive landscape, companies in the industry must adopt strategic management practices that enable them to effectively leverage their resources, capabilities, and market opportunities. One of the key strategic management practices in satellite telecommunications is the integration of data analytics into business operations. Data analytics encompasses the collection, analysis, and interpretation of large volumes of data to extract valuable insights and inform decision-making. By harnessing the power of data analytics, satellite telecommunications companies can optimize their network performance, enhance customer experience, and drive innovation. Data analytics can also help companies in the satellite telecommunications industry to identify new market trends, customer preferences, and competitive threats. By analyzing data from various sources, including satellite sensors, customer feedback, and market research, companies can gain a deeper understanding of their operating environment and make informed strategic decisions. Furthermore, data analytics can enable satellite telecommunications companies to enhance their operational efficiency by optimizing resource allocation, minimizing downtime, and improving network reliability. By using predictive analytics, companies can anticipate equipment failures and proactively address potential issues, thereby reducing maintenance costs and improving service quality. In conclusion, this paper highlights the importance of strategic management practices in the satellite telecommunications industry, with a focus on the role of data analytics in driving operational efficiency and competitive advantage. By adopting data-driven decision-making processes, satellite telecommunications companies can position themselves for long-term success in a rapidly evolving industry landscape.
卫星电信在现代互联互通中发挥着至关重要的作用,使全球通信、广播和互联网接入成为可能。本文全面回顾了卫星电信业的战略管理实践,尤其关注数据分析在提高运营效率和实现竞争优势方面的作用。卫星电信业的特点是技术进步迅速、市场动态不断变化以及对带宽密集型服务的需求日益增长。要想在激烈的竞争中茁壮成长,业内公司必须采取战略管理措施,以便有效利用自身资源、能力和市场机遇。卫星电信业的关键战略管理实践之一就是将数据分析融入业务运营。数据分析包括收集、分析和解释大量数据,以提取有价值的见解并为决策提供依据。通过利用数据分析的力量,卫星电信公司可以优化其网络性能、提升客户体验并推动创新。数据分析还能帮助卫星电信业的公司识别新的市场趋势、客户偏好和竞争威胁。通过分析卫星传感器、客户反馈和市场调研等各种来源的数据,公司可以更深入地了解其运营环境,并做出明智的战略决策。此外,数据分析还能使卫星电信公司通过优化资源分配、减少停机时间和提高网络可靠性来提高运营效率。通过使用预测分析,公司可以预测设备故障并主动解决潜在问题,从而降低维护成本并提高服务质量。总之,本文强调了卫星电信业战略管理实践的重要性,重点是数据分析在提高运营效率和竞争优势方面的作用。通过采用数据驱动的决策流程,卫星通信公司可以在快速发展的行业环境中取得长期成功。
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引用次数: 0
Enhancing audience engagement through ai-powered social media automation 通过人工智能社交媒体自动化提高受众参与度
Pub Date : 2024-03-30 DOI: 10.30574/wjaets.2024.11.2.0084
Ashok Manoharan
Enhancing Audience Engagement using AI-Powered Social Media Automation is a significant part of modern marketing techniques. This research addresses the application of artificial intelligence (AI) to automate social media interactions to boost audience engagement. The study dives into numerous AI approaches and algorithms applied in social media automation and assesses their success in enhancing audience participation, brand exposure, and customer happiness. The research explores the influence of AI-powered automation on multiple social media platforms. It assesses its potential to boost audience engagement metrics such as likes, shares, comments, and click-through rates. The study identifies critical elements driving audience engagement through detailed analysis and modeling and suggests techniques for enhancing AI-powered social media automation processes. The results add to excellent knowledge of how AI technology may be exploited to generate more meaningful interactions with online audiences, eventually boosting corporate development and consumer loyalty in the digital age.
利用人工智能驱动的社交媒体自动化提高受众参与度是现代营销技术的重要组成部分。本研究探讨了应用人工智能(AI)实现社交媒体互动自动化以提高受众参与度的问题。研究深入探讨了应用于社交媒体自动化的众多人工智能方法和算法,并评估了它们在提高受众参与度、品牌曝光率和客户满意度方面的成功案例。研究探讨了人工智能驱动的自动化对多个社交媒体平台的影响。它评估了人工智能在提高受众参与度指标(如喜欢、分享、评论和点击率)方面的潜力。研究通过详细分析和建模确定了推动受众参与的关键因素,并提出了增强人工智能驱动的社交媒体自动化流程的技术建议。研究结果丰富了有关如何利用人工智能技术与在线受众进行更有意义的互动的知识,最终促进了数字时代的企业发展和消费者忠诚度。
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引用次数: 0
Harnessing technology integration in education: Strategies for enhancing learning outcomes and equity 将技术融入教育:提高学习成果和公平性的战略
Pub Date : 2024-03-30 DOI: 10.30574/wjaets.2024.11.2.0071
Chima Abimbola, Chima Abimbola Eden, Onyebuchi Nneamaka Chisom, Idowu Sulaimon Adeniyi
In contemporary educational settings, the integration of technology has become a pivotal aspect in shaping learning experiences and fostering equitable access to education. This review delves into the strategies employed to leverage technology effectively, aiming to enhance learning outcomes and promote equity within educational systems. The rapid evolution of technology has transformed traditional pedagogical approaches, offering diverse tools and platforms to engage learners across varied demographics. By strategically integrating technology into educational frameworks, educators can tailor instruction to accommodate diverse learning styles and facilitate personalized learning experiences. Furthermore, technology integration enables the creation of interactive and immersive learning environments, fostering student engagement and motivation. However, achieving equitable access to technology remains a critical challenge, particularly in underserved communities and developing regions. Addressing this challenge necessitates proactive measures such as investing in infrastructure, providing training for educators, and implementing policies that prioritize digital inclusion. Moreover, effective technology integration goes beyond merely incorporating devices and software into classrooms. It involves aligning technological tools with pedagogical goals, fostering digital literacy skills among students, and promoting critical thinking and creativity through technology-mediated activities. This review highlights the importance of leveraging technology not only to enhance learning outcomes but also to bridge the digital divide and promote equity in education. By adopting inclusive strategies and fostering collaboration among stakeholders, educational institutions can harness the full potential of technology to create more equitable and enriching learning environments for all students.
在当代教育环境中,技术整合已成为塑造学习体验和促进公平受教育机会的一个关键方面。本评论深入探讨了有效利用技术的策略,旨在提高学习成果,促进教育系统内的公平。技术的快速发展改变了传统的教学方法,为不同人群的学习者提供了多样化的工具和平台。通过战略性地将技术融入教育框架,教育工作者可以因材施教,适应不同的学习风格,促进个性化的学习体验。此外,技术整合还能创造互动和身临其境的学习环境,提高学生的参与度和积极性。然而,实现公平获取技术仍然是一个严峻的挑战,特别是在服务不足的社区和发展中地区。要应对这一挑战,就必须采取积极主动的措施,如投资基础设施、为教育工作者提供培训,以及实施优先考虑数字包容的政策。此外,有效的技术整合不仅仅是将设备和软件纳入课堂。它涉及将技术工具与教学目标相结合,培养学生的数字素养技能,以及通过以技术为媒介的活动促进批判性思维和创造力。本综述强调了利用技术的重要性,它不仅能提高学习成果,还能缩小数字鸿沟,促进教育公平。通过采取包容性战略和促进利益相关者之间的合作,教育机构可以充分利用技术的潜力,为所有学生创造更加公平和丰富的学习环境。
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引用次数: 0
Reviewing the enhancement of expansive soil through different waste material blending 通过混合不同的废料来改善膨胀性土壤
Pub Date : 2024-03-30 DOI: 10.30574/wjaets.2024.11.2.0090
Manjushree.V.Gaikwad, Sourabh Kumar Singh, Nagesh. T. Suryavanshi, Kishor P. Survase, Shashikant R.Yadav, Malakarsidha C. Pujari, Onkar S. Basate
This review paper examines the efficacy of blending various materials for the enhancement of expansive soil behavior. Expansive soils, characterized by volumetric changes in response to moisture fluctuations, present significant challenges in engineering projects. The review explores the utilization of waste additives such as quarry dust, sawdust ash, glass powder, stone powder, marble dust, Lime and Polypropylene Fiber, plastic waste strips and waste brick powder Oil Shale Ash, cement kiln dust as well as innovative solutions including organic compounds and nano-materials. The effectiveness of each material blend in mitigating issues such as swelling, shrinkage, and cracking is analyzed. The study underscores the importance of material selection and optimal blending techniques in achieving desired improvements in soil properties. Additionally, the paper highlights the need for continued research and innovation to develop sustainable solutions for managing expansive soils in construction and geotechnical engineering endeavors.
本综述论文探讨了混合各种材料以增强膨胀土性能的功效。膨胀土的特点是随水分波动而发生体积变化,这给工程项目带来了巨大挑战。本文探讨了如何利用废弃添加剂,如采石场灰尘、锯末灰、玻璃粉、石粉、大理石粉、石灰和聚丙烯纤维、塑料废条和废砖粉、油页岩灰、水泥窑灰以及包括有机化合物和纳米材料在内的创新解决方案。研究分析了每种混合材料在缓解膨胀、收缩和开裂等问题方面的效果。这项研究强调了材料选择和最佳混合技术在实现理想的土壤性质改善方面的重要性。此外,论文还强调了继续研究和创新的必要性,以开发可持续的解决方案,管理建筑和岩土工程中的膨胀性土壤。
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引用次数: 0
A new dawn: The next frontier in AI-driven sleep enhancement through gradual awakening 新的曙光人工智能通过渐进式唤醒改善睡眠的下一个前沿领域
Pub Date : 2024-03-30 DOI: 10.30574/wjaets.2024.11.2.0087
Zaki Milhem, Vadim Fîntînari, Nicolae Goga
Background: Given the prevalence of sleep issues, their impact on overall health and the potential of gradual awakening in mitigating part of the negative effects, innovative solutions can be leveraged to facilitate this awakening process. Objectives: The current study aims to present in detail and validate a novel system that utilizes advanced AI algorithms for sleep tracking, sleep stage prediction, and a "smart alarm" component for optimal gradual awakening. Methods: A clinical trial was conducted to assess the system's effectiveness, namely its influence on several key daily aspects. Participants wearing consumer wearable devices in their sleep were required to self-assess their quality of life, sleep quality and perception of their own waking process through several questionnaires. Results: The integrated system is developed and works as intended. The clinical study findings demonstrate statistically significant benefits in quality of life, sleep quality, user satisfaction with the waking process and mental status upon awakening. On average, an increase in WHOQOL-BREF score from 88.44 to 94.75, a decrease in Sleep Quality Scale scores from 65.66 to 58.19 and in awakening scores from 10.81 to 8.95 (the latter two scores decrease as outcome improves) were observed. Conclusion: Our system shows promise for enhancing individual well-being and productivity by detecting the optimal sleep stage for awakening and providing a more natural waking experience, indicating a valuable direction for future sleep health technologies. Research should be directed at expanding the search for more potential uses, optimizing algorithms and improving user experience.
背景:鉴于睡眠问题的普遍性及其对整体健康的影响,以及逐步唤醒可减轻部分负面影响的潜力,可以利用创新解决方案来促进这一唤醒过程。目标:本研究旨在详细介绍并验证一种新型系统,该系统利用先进的人工智能算法进行睡眠跟踪、睡眠阶段预测以及 "智能闹钟 "组件,以实现最佳的渐进唤醒。研究方法进行了一项临床试验,以评估该系统的有效性,即其对几个关键日常方面的影响。要求在睡眠中佩戴消费类可穿戴设备的参与者通过几份问卷对自己的生活质量、睡眠质量和对自身觉醒过程的感知进行自我评估。结果:集成系统已开发完成并按预期运行。临床研究结果表明,该系统在生活质量、睡眠质量、用户对唤醒过程的满意度以及唤醒后的精神状态等方面都有显著的统计学优势。平均而言,WHOQOL-BREF 分数从 88.44 分提高到 94.75 分,睡眠质量量表分数从 65.66 分降低到 58.19 分,觉醒分数从 10.81 分降低到 8.95 分(后两项分数随着结果的改善而降低)。结论我们的系统有望通过检测唤醒的最佳睡眠阶段和提供更自然的唤醒体验来提高个人的幸福感和工作效率,为未来的睡眠健康技术指明了宝贵的方向。研究应着眼于扩大搜索范围,寻找更多潜在用途,优化算法,改善用户体验。
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引用次数: 0
Demonstration of magnetic force in the process of studying physics 物理学习过程中的磁力演示
Pub Date : 2024-03-30 DOI: 10.30574/wjaets.2024.11.2.0076
Aleksei Gavrilov
A conductor with current flowing through it and placed in a magnetic field is acted upon by a force. It is called magnetic force. This paper describes two simple small-sized devices to demonstrate this force.
电流通过导体并将其置于磁场中时,导体会受到一种力的作用。这就是磁力。本文介绍两个简单的小型装置来演示这种力。
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引用次数: 0
A mathematical modeling approach to analyzing and addressing customer service inefficiencies in an international company 用数学建模方法分析和解决一家国际公司客户服务效率低下的问题
Pub Date : 2024-03-30 DOI: 10.30574/wjaets.2024.11.2.0096
Yang Liu, 𝑛 𝑠, 𝑆 ∈, 𝑆 ×, 𝑛 𝑆, 𝑠 𝑢𝑖, 𝑠 𝑖∗ … 𝑠 𝑛∗ ≥ 𝑢 𝑖 𝑠 …, 𝑠 𝑖 … 𝑠 𝑛∗ ∀𝑠 𝑖 …, … ∈𝑆𝑖…
This paper presents a novel and in-depth mathematical approach to analyzing the inefficiencies and shortcomings of customer service in an international company based in China. By employing advanced mathematical concepts such as set theory, graph theory, probability theory, and stochastic processes, we develop a comprehensive and multi-faceted model that captures the various aspects of customer service, including unfairness, bureaucracy, failure to perform duties, irresponsibility, untruthfulness, and untrustworthiness. Our findings suggest that these issues are deeply rooted in the company's organizational structure and culture, and we propose potential solutions to address these problems. We also introduce new mathematical techniques, such as the use of hypergraphs and multi-objective optimization, to provide a more nuanced understanding of the complex dynamics at play within the customer service department.
本文提出了一种新颖而深入的数学方法,用于分析一家总部设在中国的国际公司在客户服务方面的低效和缺陷。通过运用集合论、图论、概率论和随机过程等先进的数学概念,我们建立了一个全面、多层面的模型,以捕捉客户服务的各个方面,包括不公平、官僚主义、不履行职责、不负责任、不真实和不值得信赖等。我们的研究结果表明,这些问题深深植根于公司的组织结构和文化中,我们提出了解决这些问题的潜在方案。我们还引入了新的数学技术,例如超图和多目标优化的使用,以提供对客户服务部门内部复杂动态的更细致入微的理解。
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引用次数: 0
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World Journal of Advanced Engineering Technology and Sciences
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