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Identifying and Analyzing Reduplication Multiword Expressions in Hindi Text Using Machine Learning 用机器学习识别和分析印地语文本中的重复多词表达式
IF 0.7 Q2 Social Sciences Pub Date : 2023-08-28 DOI: 10.18421/tem123-56
A. Mishra, Alok Mishra
The task of identifying and analyzing Reduplication Multiword Expressions (RMWEs) in Natural Language Processing (NLP) involves extracting repeated words from various text forms and classifying them into Onomatopoeic, non-Onomatopoeic, partial, or semantic types. With the increasing use of low-resource languages in news, opinions, comments, hashtags, reviews, posts, and journals, this study proposes a machine learning-based RMWE identification method for Hindi text. The method employs linguistic patterns and statistical data, along with a proposed threshold boundary detection in statistical filtering. The Jaccard distance of dissimilarity and Sorensen Dice Coefficient of Similarity are used for semantic relation analysis. The proposed approach was evaluated using the publicly available Hindi corpus from IITB, measuring performance between two consecutive thresholds with the lowest error and highest recall. This study proposes an effective method for Indian computational linguistics, with experimental results highlighting its viability and utility, and providing a blueprint for current procedures.
自然语言处理(NLP)中识别和分析重复多词表达(RMWE)的任务包括从各种文本形式中提取重复词,并将其分类为拟声拟声、非拟声拟音、部分或语义类型。随着低资源语言在新闻、观点、评论、标签、评论、帖子和期刊中的使用越来越多,本研究提出了一种基于机器学习的印地语文本RMWE识别方法。该方法采用了语言模式和统计数据,以及在统计滤波中提出的阈值边界检测。利用Jaccard相异距离和Sorensen-Dice相似系数进行语义关系分析。使用IITB公开的印地语语料库对所提出的方法进行了评估,测量了误差最低、召回率最高的两个连续阈值之间的性能。这项研究为印度计算语言学提出了一种有效的方法,实验结果突出了它的可行性和实用性,并为当前的程序提供了蓝图。
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引用次数: 0
The E-Student Profile – Status, Challenges and Perspectives E-Student简介——现状、挑战和展望
IF 0.7 Q2 Social Sciences Pub Date : 2023-08-28 DOI: 10.18421/tem123-71
M. Stefanova, T. Stefanov, Silviya Varbanova
This paper presents a prototype of an electronic system for the needs of students. The objective is to develop and promote a prototype electronic student profile. The methodology for designing the proposed prototype includes a review and comparative analysis of existing electronic student profiles in universities from Europe, America and Asia, based on the usability and other leading features similar to the functionality of the proposed system. Advantages of university platforms regarding functionality, user interface, usability, speed of access are described. Some of the analysed systems have weaknesses and associated problems that have been avoided in the developed electronic system. A survey was also conducted among students who actively use electronic profiles for training and administrative services, and the results were integrated to add useful features to the developed system. The paper presents the main characteristics of the proposed prototype, such as speed and ease of use, and an intuitive design with easy access to the required resources. The prototype could be implemented for the needs of academic users in any educational institution.
本文提出了一个满足学生需求的电子系统原型。目标是开发和推广电子学生档案原型。设计拟议原型的方法包括根据可用性和与拟议系统功能类似的其他主要特征,对欧洲、美国和亚洲大学现有的电子学生档案进行审查和比较分析。介绍了大学平台在功能、用户界面、可用性和访问速度方面的优势。所分析的一些系统具有弱点和相关问题,这些弱点和问题在所开发的电子系统中已经避免。还对积极使用电子档案提供培训和行政服务的学生进行了一项调查,并将结果进行了整合,为开发的系统增添了有用的功能。本文介绍了所提出的原型的主要特点,如速度和易用性,以及易于访问所需资源的直观设计。原型可以满足任何教育机构学术用户的需求。
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引用次数: 0
Logistics Reengineering of Service Processes Through the Implementation of Software and Hardware of the Telephone Exchange in the Company 通过公司电话交换机软硬件的实现实现服务流程的物流再造
IF 0.7 Q2 Social Sciences Pub Date : 2023-08-28 DOI: 10.18421/tem123-16
A. Behúnová, L. Knapčíková, M. Behún
In-house logistics is primarily about coordinating activities; quality planning; management, implementation, control of external and internal material flow, and synchronization of information and processes. Each process is closely related to the operator, who ensures optimal conditions for its operation. Implementing software and hardware for the telephone exchange and supporting corporate information management significantly increased customer satisfaction with the solution to their specific requirements. The impact of information technology, monitoring, data collection and processing in the company aims to make these processes more intelligent, emphasising obtaining certain strategic information important for further decision-making. A powerful and reliable communication platform is used in various industries, which is presented in the submitted manuscript. The advantage of a suitably chosen communication platform is that it offers a range of functions like traditional telephones combined with intelligent solutions for uniform communication. By applying service processes through implementing a software and hardware telephone exchange in the company, we focus on adapting solutions for each customer according to requirements. In the future, the research will focus on the digitization of the company and the use of smart technologies in the prediction of service processes in the company.
内部物流主要是协调活动;质量计划;管理、实施、控制外部和内部的物料流动,以及信息和流程的同步。每个过程都与操作员密切相关,操作员确保其运行的最佳条件。为电话交换机实现软件和硬件,并支持公司信息管理,显著提高了客户对解决方案的满意度,以满足他们的特定需求。信息技术、监测、数据收集和处理在公司中的影响旨在使这些过程更加智能化,强调获得对进一步决策重要的某些战略信息。一个强大而可靠的交流平台应用于各个行业,这在提交的稿件中有所体现。选择合适的通信平台的优势在于它提供了一系列的功能,就像传统电话一样,并结合了统一通信的智能解决方案。通过在公司内实施软硬件电话交换机来应用服务流程,我们专注于根据每个客户的需求调整解决方案。在未来,研究将侧重于公司的数字化和智能技术在公司服务流程预测中的应用。
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引用次数: 0
A Comparative Study on Human MovementClassification Using Wi-Fi Based PassiveForward Scattering Radar 基于Wi-Fi的被动前向散射雷达人体运动分类的比较研究
IF 0.7 Q2 Social Sciences Pub Date : 2023-08-28 DOI: 10.18421/tem123-13
Muhammad Nazrin Farhan Nasarudin, Hidayatusherlina Razali, N. Ismail, Nor Ayu Zalina Zakaria, A. Alnaeb, Megat Syahirul Amin Megat Ali, N. E. Abdul Rashid
Forward scattering radar has been widely used to classify human movements. To reduce concern of prolonged radiation exposure, Wi-Fi based passive scattering radar with bistatic topology is proposed. The movements include walking, bending, sitting, and kneeling. The enveloping algorithm applied to Wi-Fi based passive forward scattering radar signals has produced a comparable pattern to the ones from the active configuration. The features extracted from the frequency spectrum are also similar for both radar topologies. These led to comparable performance when classifying using artificial neural network. Hence, Wi-Fi can effectively reduce the cost of radar sensors.
前向散射雷达被广泛用于人体运动分类。为了减少对长时间辐射暴露的担忧,提出了基于Wi-Fi的双基地拓扑被动散射雷达。这些动作包括走路、弯腰、坐着和跪着。将包络算法应用于基于Wi-Fi的被动前向散射雷达信号,产生了与主动配置的信号相似的模式。从频谱中提取的特征对于两种雷达拓扑也是相似的。这些导致使用人工神经网络进行分类时的性能相当。因此,Wi-Fi可以有效降低雷达传感器的成本。
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引用次数: 0
Non-Destructive Determination of Plant Pigments Based on Mobile Phone Data 基于手机数据的植物色素无损检测
IF 0.7 Q2 Social Sciences Pub Date : 2023-08-28 DOI: 10.18421/tem123-23
M. Vasilev, V. Stoykova, P. Veleva, Z. Zlatev
This paper proposes methods and tools for determining plant pigments using data from a mobile phone video sensor. A disadvantage of the known studies in this field is that they are mainly aimed at determining the chlorophyll content. There are few studies related to the determination of pigments such as carotenoids, flavonoids, and betalains, which are also important in terms of determining the condition of plants in their cultivation. Cucumbers were chosen because the long periods of drought in Bulgaria, lead to losses in cultivating these plants. Vectors containing colour and spectral indices were used. These features are obtained through a video sensor on a mobile phone. The kernel method variant of principal components reduces them. Feature vectors are selected using factor analysis, correspondence analysis, and the correlation method. Predictive models have been developed to determine plant pigments. With high accuracy (over 90%), the pigments xanthophyll and chlorophyll A can be predicted.
本文提出了使用手机视频传感器的数据确定植物色素的方法和工具。该领域已知研究的一个缺点是,它们主要旨在测定叶绿素含量。很少有研究涉及类胡萝卜素、类黄酮和β赖氨酸等色素的测定,这些色素在测定植物培养条件方面也很重要。之所以选择黄瓜,是因为保加利亚长期干旱,导致这些植物的种植损失。使用包含颜色和光谱指数的矢量。这些特征是通过手机上的视频传感器获得的。主成分的核方法变体减少了它们。使用因子分析、对应分析和相关方法来选择特征向量。已经开发了预测模型来确定植物色素。色素叶黄素和叶绿素A的预测精度高(90%以上)。
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引用次数: 0
Utilizing Virtual Laboratory to Improve CNC Distance Learning of Vocational Students at Higher Education 利用虚拟实验室改进高职生数控远程教学
IF 0.7 Q2 Social Sciences Pub Date : 2023-08-28 DOI: 10.18421/tem123-31
Febri Prasetya, Budi Syahri, Bayu Rahmadani Fajri, R. Wulansari, Aprilla Fortuna
This research develops learning materials for Computer Numerical Control (CNC) programming courses based on virtual reality technology. The impact of the Covid-19 pandemic on social activities, one of which is the educational aspect, has changed the learning pattern to a massive one where the learning process that should be carried out face-to-face, but now must carry out distance learning. Therefore, alternative learning media is needed to support the practicum process from a distance by utilizing virtual reality technology that is simulated using digital devices. The Software engineering models, namely: requirements, design, implementation, verification, and maintenance phases are the five primary stages used in this study, which uses the waterfall development model research method. The feasible of the virtual laboratory obtained the results of material validation, learning media, and small group trials of 12 diploma students of Mechanical Engineering at Universitas Negeri Padang. The findings of the study found that small group trials in CNC virtual laboratory can be successfully utilized in CNC programming courses. This research is expected to have implications for improving learning outcomes in CNC programming courses by using virtual laboratory technology in creating a conducive and quality learning atmosphere, so that the learning material provided can be accepted by students.
本研究开发基于虚拟现实技术的计算机数控(CNC)编程课程学习材料。新冠肺炎疫情对社会活动的影响,其中之一是教育方面的影响,使学习模式发生了巨大变化,学习过程本应面对面进行,但现在必须进行远程学习。因此,需要一种替代的学习媒介,通过利用数字设备模拟的虚拟现实技术,从远处支持实习过程。软件工程模型,即:需求、设计、实现、验证和维护阶段是本研究中使用的五个主要阶段,它使用瀑布开发模型研究方法。虚拟实验室的可行性获得了巴东内格里大学12名机械工程专业毕业班学生的材料验证、学习媒体和小组试验的结果。研究发现,CNC虚拟实验室的小组实验可以成功地应用于CNC编程课程。本研究期望能透过虚拟实验室技术,创造一个有益的、高品质的学习氛围,以改善CNC编程课程的学习效果,使所提供的学习材料能被学生所接受。
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引用次数: 0
Model for the Propagation of Malicious Objects in a Computer Network with Variable Infection Intensity 具有可变感染强度的计算机网络中恶意对象的传播模型
IF 0.7 Q2 Social Sciences Pub Date : 2023-08-28 DOI: 10.18421/tem123-06
Antoaneta Popova
There are a significant number of scientific publications that use epidemic models to propagate malicious objects in a computer network. These models are based on Markovian models with a constant intensity of transitions, which does not correspond to real conditions, since the intensity of transitions changes due to the fact that after some time antivirus systems start to recognize malware. This paper proposes an original approach based on an epidemic model with variable infection intensity of hosts in a computer network. In the beginning, when the threat is not recognized, the malware spreads rapidly. After a certain period of time, the antivirus system recognizes the malicious code, which leads to a decrease in the infection intensity. Simulations have been done for different infection intensity and threat recognition. Demonstrated models account for the infection time of hosts in the computer network, latency phase, malware detection, and clearance from the system.
有相当数量的科学出版物使用流行病模型在计算机网络中传播恶意对象。这些模型基于具有恒定转换强度的马尔可夫模型,这与实际情况不相符,因为在一段时间后,由于反病毒系统开始识别恶意软件,转换强度会发生变化。本文提出了一种基于计算机网络中可变主机感染强度的流行病模型的新颖方法。一开始,当威胁未被识别时,恶意软件会迅速传播。经过一段时间后,防病毒系统会识别出恶意代码,从而降低感染强度。对不同感染强度和威胁识别进行了仿真。演示的模型考虑了计算机网络中主机的感染时间、延迟阶段、恶意软件检测和系统清除。
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引用次数: 0
Intrinsic Motivations of Airbnb Hosts from the Perspective of Millennial Guests in Lima – Peru 从秘鲁利马千禧一代房客的视角看Airbnb房东的内在动机
IF 0.7 Q2 Social Sciences Pub Date : 2023-08-28 DOI: 10.18421/tem123-59
Yajaira Paulina Navarro-Mendoza, R. M. Esparza-Huamanchumo, R. Hernández-Rojas
This study aims to analyze the host’s intrinsic motivations of the sharing accommodation Airbnb in the Miraflores district – Lima, from the perspective of millennial guests. Lima, capital of Peru, was selected since the economy of the city is based on a large part of visitors and tourists who enjoy its cultural, natural, gastronomic attractions and modern life. For this research, a qualitative approach was used, through content analysis, such as 258 reviews left by guests of the millennial segment who spent at least one night in the sharing accommodations of Miraflores district Airbnb’s hosts were analyzed. The collected information were processed by the Atlas.ti software where three main intrinsic motivations were identified: Altruism, Social Interaction and Cultural Capital. It is worth mentioning that disseminating and communicating messages related to the intrinsic motivations of the host is key for sharing accommodations, such as Airbnb. It allows us to understand how to attract new hosts, potential sharing accommodation entrepreneurs.Also, it promotes that current guests become hosts, and thus maintain the economic stability and growth of this business model.
本研究旨在从千禧一代客人的角度分析房东在利马米拉弗洛雷斯区共享住宿Airbnb的内在动机。秘鲁首都利马之所以被选中,是因为该市的经济依赖于大部分游客,他们喜欢这里的文化、自然、美食和现代生活。在这项研究中,通过内容分析,采用了定性方法,例如分析了千禧一代客人留下的258条评论,这些客人在米拉弗洛雷斯区Airbnb房东的共享住宿中至少住了一晚。收集到的信息由Atlas.ti软件处理,其中确定了三个主要的内在动机:利他主义、社会互动和文化资本。值得一提的是,传播和沟通与房东内在动机有关的信息是共享住宿的关键,比如Airbnb。它让我们了解如何吸引新的东道主,潜在的共享住宿企业家。此外,它还促进了现有客人成为东道主,从而保持了这种商业模式的经济稳定和增长。
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引用次数: 0
Photovoltaic Energy Harvesting with Static and Dynamic Solar Modules Employing IoT-Enabled Performance Monitoring 采用物联网性能监测的静态和动态太阳能组件的光伏能量收集
IF 0.7 Q2 Social Sciences Pub Date : 2023-08-28 DOI: 10.18421/tem123-15
K. Krismadinata, A. Asnil, Irma Husnaini, Remon Lapisa, Ricky Maulana, Muldi Yuhendri, Erita Astrid, P. Logamani
This study examines the effectiveness of static and dynamic PV module models for solar energy gathering. The static design of the first solar panel is used, while the dynamic design of the second solar panel with a single-axis tracker is used. Finding the best model for capturing solar energy and turning it into electrical energy is the aim. Monitoring systems use IoT technologies. To detect variables including current, voltage, radiation, temperature, and humidity, the system has a number of sensors. The Thinger i.o program, coupled to the Arduino Uno used to control these sensors uses the Internet of Things (IoT) concept to evaluate and keep track of the outcomes of parameter measurements. As a result, the acquired measurement results can be viewed on the Thinger i.o application and checked remotely from any location. The three tests show that systems using dynamic ideas are better able to capture solar energy than static systems. The performance discrepancy is at its widest in the third test, when the dynamic system generates 14.4% more electrical energy than the static system.
本研究考察了静态和动态光伏组件模型对太阳能收集的有效性。第一太阳能板采用静态设计,第二太阳能板采用单轴跟踪器的动态设计。我们的目标是找到捕获太阳能并将其转化为电能的最佳模型。监控系统使用物联网技术。为了检测包括电流、电压、辐射、温度和湿度在内的变量,该系统有许多传感器。thingger i.o程序与用于控制这些传感器的Arduino Uno相结合,使用物联网(IoT)概念来评估和跟踪参数测量的结果。因此,获得的测量结果可以在thingingio应用程序上查看,并可以从任何位置远程检查。这三个测试表明,采用动态思路的系统比静态系统更能捕获太阳能。在第三次测试中,性能差异最大,动态系统比静态系统多产生14.4%的电能。
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引用次数: 0
Socio-Technical Perspective in Determining the Factors and Components for Minimizing Cybersecurity Threat 从社会技术角度确定最小化网络安全威胁的因素和组成部分
IF 0.7 Q2 Social Sciences Pub Date : 2023-08-28 DOI: 10.18421/tem123-66
Eko Haryadi, Abdul Karim, L. Salahuddin
Smart city development necessitates careful planning and control. Many factors contribute to failures in smart cities, such as the lack of attention in dealing with cyber security threats, misappropriation of internet facilities, and limitedness of awareness and knowledge of basic-level cybersecurity to safely perform daily activities. Numerous studies have discovered that procrastinating, impulsive, forward-thinking, and risk-taking behaviours vary across organizations, which may help to explain why different organizations adhere to security policies. This research aims to analyse the socio-technical structural relationship of socio-technical perspective in determining the factors and components for minimizing security threat. The research uses a mixed-methods study while the results regarding the contribution of socio-technical components to the improvement of work behaviour in minimizing cybersecurity threats and proposes new analysis result of the contribution work behaviours as contribution and a positive influence for minimizing cybersecurity threat toward successful smart city.
智慧城市的发展需要周密的规划和控制。导致智慧城市失败的因素有很多,比如对网络安全威胁的处理不够重视、互联网设施被滥用、对安全开展日常活动的基础网络安全意识和知识有限。许多研究发现,拖延、冲动、前瞻性思维和冒险行为在不同的组织中是不同的,这可能有助于解释为什么不同的组织坚持安全政策。本研究旨在分析社会技术视角下的社会技术结构关系,以确定最小化安全威胁的因素和组成部分。本研究采用混合方法研究社会技术成分对改善工作行为以最大限度地减少网络安全威胁的贡献的结果,并提出了新的贡献分析结果,即工作行为对最小化网络安全威胁的贡献和积极影响,以成功地实现智慧城市。
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引用次数: 0
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TEM Journal-Technology Education Management Informatics
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