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Augmented Reality Based on Discovery Learning: The Human Circulatory System to Improve Biological Literacy 基于发现学习的增强现实:人体循环系统提高生物素养
Pub Date : 2023-04-14 DOI: 10.7753/ijcatr1204.1011
Rogaya ., R. Mursid, Baharuddin .
To produce Augmented reality learning media products based on Discovery learning on circulatory system material, assessing the feasibility and effectiveness of Discovery learning based Augmented reality learning media products on circulatory system material in the learning process of class XI students at SMA Plus Sedayu Nusantara. This research is a Research and Development (R & D) development research with the ADDIE development model. Subjects included 2 material experts, 2 media experts, 3 students in the individual test, 9 students in the small group test, and 30 students in the limited field test. The results showed that: Augmented Reality learning media based on Discovery Learning on the circulatory system is very suitable to be used as a learning resource in learning material for the Circulatory System Class XI SMA; Discovery Learning-based Augmented Reality learning media on the circulatory system is very effective in use, testing the effectiveness of Discovery Learning-based Augmented Reality learning media products on the circulatory system fulfills the criteria of being effectively used which is shown from the results of product effectiveness testing using the t-test on different independent test tests. The average result of the assessment in the experimental class was that the average score of the learning outcomes test was higher than the average result of the control class students who did not use learning media.
本研究采用ADDIE开发模式进行研发(r&d)开发研究。被试包括2名材料专家、2名媒体专家、3名个体测试、9名小组测试和30名有限现场测试。基于发现学习的增强现实学习媒体在循环系统上的使用效果非常好,测试基于发现学习的增强现实学习媒体产品在循环系统上的有效性达到了有效使用的标准,这从不同独立测试测试中使用t检验的产品有效性测试结果可以看出。实验班学生的平均评估结果为:学习成果测试的平均分高于未使用学习媒体的对照组学生的平均分。
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引用次数: 0
Facial Expression Recognition Based on Improved Densenet Network 基于改进密度网络的面部表情识别
Pub Date : 2023-04-14 DOI: 10.7753/ijcatr1204.1012
Tao JunChen
As a branch of image recognition, facial expression recognition helps to carry out medical, educational, security and other work more efficiently. This article combines deep learning knowledge and conducts research on expression recognition based on DenseNet121, a dense convolutional neural network that integrates attention mechanisms for multi-scale feature extraction. Firstly, in response to the insufficient ability of DenseNet121 to extract complex facial expression features, multi-scale feature extraction dense blocks were introduced to replace DenseBlocks used to extract features of different sizes; Secondly, using multi-scale feature extraction convolutional blocks to replace the large convolutional kernel at the head of DenseNet121 further enriches feature extraction; Finally, in order to extract more important features from the channel dimension, we consider combining ECA channel attention mechanism to help improve model performance. The experiment proves that the model proposed in this chapter has improved recognition accuracy by 2.034% and 3.031% compared to DenseNet121 on the FER2013 and CK+datasets, respectively. It also has certain advantages compared to other commonly used classification models.
面部表情识别作为图像识别的一个分支,有助于更高效地开展医疗、教育、安全等工作。本文结合深度学习知识,基于密集卷积神经网络DenseNet121进行表情识别研究,DenseNet121集成了多尺度特征提取的注意机制。首先,针对DenseNet121提取复杂面部表情特征能力不足的问题,引入多尺度特征提取密集块(dense block)来代替DenseNet121提取不同大小特征的密集块(DenseBlocks);其次,利用多尺度特征提取卷积块取代DenseNet121头部的大卷积核,进一步丰富了特征提取;最后,为了从渠道维度中提取更重要的特征,我们考虑结合ECA渠道关注机制来帮助提高模型性能。实验证明,本章提出的模型在FER2013和CK+数据集上的识别准确率分别比DenseNet121提高了2.034%和3.031%。与其他常用的分类模型相比,它也具有一定的优势。
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引用次数: 0
Development of Online General Chemistry Teaching Materials Integrated with HOTS-Based Media Using the ADDIE Model 利用ADDIE模式开发基于hots媒体的普通化学在线教材
Pub Date : 2023-04-12 DOI: 10.7753/ijcatr1105.1001
The 21st century education system prioritizes students to have critical, creative, collaborative thinking skills and communication skills, including higher-order thinking skills. This study aims to develop online teaching materials for HOTS-based integrated General Chemistry courses using the ADDIE model to improve students' higher order thinking skills. This development research resulted in HOTS-based integrated online teaching materials that were feasible and effective in improving students' higher order thinking skills. Through the HOTS-based media integrated online teaching materials produced, students are required and trained to be able to think critically, creatively, analytically towards existing information and data and have the ability to solve problems.
21世纪的教育体系优先考虑学生的批判性、创造性、协作性思维能力和沟通能力,包括高阶思维能力。本研究旨在利用ADDIE模式开发基于hots的普通化学综合课程的在线教材,以提高学生的高阶思维能力。通过本开发研究,开发出了基于hots的在线综合教材,对提高学生的高阶思维能力具有可行性和有效性。通过以hots为基础的媒体综合在线教材的制作,要求和训练学生能够对现有信息和数据进行批判性,创造性和分析性思考,并具有解决问题的能力。
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引用次数: 3
A Study of Approaches and Measures aimed at Securing Biometric Fingerprint Templates in Verification and Identification Systems 验证与识别系统中生物特征指纹模板安全的方法与措施研究
Pub Date : 2023-04-12 DOI: 10.7753/ijcatr0402.1005
Joseph Mwema, S. Kimani, Michael W. Kimwele
The need for fool proof authentication procedures away from traditional authentication mechanisms like passwords, security PINS has led to the advent of biometric authentication in information systems. Biometric data extracted from physiological features of a person including but not limited to fingerprints, palm prints, face or retina for purpose of verification & identification is saved as biometric templates. The inception of biometrics in access control systems has not been without its own hitches & like other systems it has its fair share of challenges. Biometric fingerprints being the most mature of all biometric spheres are the most widely adopted biometric authentication systems. Biometric systems effectiveness lies on how secure they are at preventing inadvertent disclosure of biometric templates in an information system’s archive. This however has not been the case as biometric templates have been fraudulently accessed to gain unauthorized access in identification and verification systems. In order to achieve strong and secure biometric systems, biometric systems developers need to build biometric systems that properly secure biometric templates. Several biometric template protection schemes and approaches have been proposed and used to safeguard stored biometric templates. Despite there being various biometric template protection schemes and approaches in existence, none of them has provided the most authentic, reliable, efficient and deterrent means to totally secure biometric fingerprint templates. This research sought to establish status of the current biometric template protection techniques and methods by conducting a survey and analyzing data gathered from a sample of seventy-eight (78) respondents. We will report these results and give our conclusion based on findings of the survey in this paper.
为了摆脱传统的身份验证机制(如密码、安全pin),对防傻瓜身份验证程序的需求导致了信息系统中生物识别身份验证的出现。从人的生理特征(包括但不限于指纹、掌纹、面部或视网膜)中提取的用于验证和识别的生物特征数据保存为生物特征模板。生物识别技术在门禁系统中的应用并非没有其自身的缺陷&与其他系统一样,它也面临着相当大的挑战。生物指纹是生物识别领域中最成熟的一种,也是应用最广泛的生物识别认证系统。生物识别系统的有效性取决于它们在防止信息系统档案中无意中泄露生物识别模板方面的安全性。然而,情况并非如此,因为生物识别模板已被欺诈性地访问,以在身份识别和验证系统中获得未经授权的访问。为了实现强大而安全的生物识别系统,生物识别系统开发人员需要构建能够适当保护生物识别模板的生物识别系统。已经提出了几种生物特征模板保护方案和方法,并用于保护存储的生物特征模板。虽然市面上有各种生物特征模板保护方案和方法,但没有一种方案能提供最真实、可靠、有效和具震慑力的方法,以确保生物特征指纹模板的完全安全。本研究试图通过进行调查和分析从78个受访者中收集的数据来建立当前生物识别模板保护技术和方法的现状。我们将报告这些结果,并根据调查结果在本文中给出结论。
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引用次数: 0
Computer Interface for Electroluminescence (EL) 电致发光(EL)计算机接口
Pub Date : 2023-04-12 DOI: 10.7753/ijcatr0503.1010
A. Mishra
The goal of Computer aided device start from the physical description of integrated circuit devices, considering both the physical configuration and related device properties and build the link between the broad range of physics and electrical behavior models that support circuit design. Physics-based modeling of devices, is distributed and lumped form is an essential part of the IC process development. It seeks to quantify the underlying understanding of the technology and abstract that knowledge to the device design level, including extraction of the key parameters that support circuit design and statistical metrology [1][2]. IC development for more than a quarter-century has been dominated by the MOS technology. In the 1970s and 1980s NMOS was favored owing to speed and area advantages, coupled with technology limitations and concerns related to isolation, parasitic effects and process complexity. During that era of NMOS-dominated LSI and the emergence of VLSI, the fundamental scaling laws of MOS technology were codified and broadly applied [3]. It was also during this period that Computer Aided Device reached maturity in terms of realizing robust process modeling (primarily one-dimensional) which then became an integral technology design tool, used universally across the industry [4]. At the same time device simulation, dominantly two-dimensional owing to the nature of MOS devices, became the work-horse of technologists in the design and scaling of devices [5]. The transition from NMOS to CMOS technology resulted in the necessity of tightly coupled and fully 2D simulators for process and device simulations [6][7].
计算机辅助设备的目标是从集成电路设备的物理描述开始,考虑物理配置和相关设备属性,并在支持电路设计的广泛物理和电气行为模型之间建立联系。基于物理的器件建模,是以分布式和集总形式进行的,是集成电路工艺开发的重要组成部分。它试图量化对技术的基本理解,并将这些知识抽象到器件设计层面,包括提取支持电路设计和统计计量的关键参数[1][2]。集成电路的发展在过去的四分之一个世纪里一直被MOS技术所主导。70年代和80年代,由于速度和面积优势,加上技术限制以及与隔离、寄生效应和工艺复杂性有关的问题,NMOS受到青睐。在nmos主导的LSI和VLSI出现的时代,MOS技术的基本缩放定律被编纂并广泛应用[3]。也正是在这一时期,计算机辅助设备在实现鲁棒过程建模(主要是一维的)方面达到了成熟,然后成为整个行业普遍使用的集成技术设计工具[4]。与此同时,由于MOS器件的性质,器件仿真主要是二维的,成为技术人员在器件设计和缩放时的主要工作[5]。从NMOS技术到CMOS技术的过渡导致需要紧耦合的全2D模拟器来进行工艺和器件模拟[6][7]。
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引用次数: 0
Haralick Texture Features based Syriac(Assyrian) and English or Arabic documents Classification 基于叙利亚语(亚述语)和英语或阿拉伯语文档的哈拉里克纹理特征分类
Pub Date : 2023-04-12 DOI: 10.7753/ijcatr0402.1006
Basima Z. Yacob
Script identification is very essential before running an individual OCR system. Automatic language script identification from document images facilitates many important applications such as sorting, transcription of multilingual documents and indexing of large collection of such images, or as a precursor to optical character recognition (OCR), in this paper the characterized are between Syriac and English documents or between Syriac and Arabic documents were the characterized is achieved by extracting Haralick texture Features. it is investigated a texture as a tool for determining the script of document image ,based on the observation that text has a distinct visual texture. Further, K nearest neighbour algorithm is used to classify 300 text blocks into one of the two scripts: Syriac, and English , or Syriac and Arabic based on Haralick texture Features . The script was inserted to the System with different rotation angles between 0º and 135º and the results of recognition were good.
在运行单个OCR系统之前,脚本识别是非常必要的。从文档图像中自动识别语言脚本有助于许多重要的应用,如多语言文档的排序、转录和大量此类图像的索引,或者作为光学字符识别(OCR)的先驱,本文通过提取哈拉里克纹理特征来实现叙利亚语和英语文档之间或叙利亚语和阿拉伯语文档之间的特征。在观察到文本具有独特的视觉纹理的基础上,研究了纹理作为判断文档图像脚本的工具。此外,基于Haralick纹理特征,使用K近邻算法将300个文本块分类为两种脚本之一:叙利亚语和英语,或叙利亚语和阿拉伯语。将该脚本以0º和135º之间不同的旋转角度插入到系统中,识别效果良好。
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引用次数: 0
SOA for Dynamically Integrated Virtual Learning Environment Systems with Cloud Based Services 基于云服务的动态集成虚拟学习环境系统的SOA
Pub Date : 2023-04-12 DOI: 10.7753/ijcatr0402.1007
Mohammed E Abdelhag, S. F. Osman
SOA is structural approach for creating services to be reused and shared, so it provides agility and cost saving in software development by dividing the application into multiple software components to be reused in other systems. Cloud computing is truly scalable and provide virtualized resources which users can subscribe. Using a cloud and SOA in virtual learning systems provide a great chance for learners to enhance gained learning outcomes. The adoption of cloud services also assists in reducing the cost of software, hardware, human resources and infrastructure. This paper will use SOA and cloud computing to transfer virtual learning systems in the cloud to be more integrated and interoperable through showing a conceptual model of distributed virtual learning system and using cloud computing combined with services oriented architecture, to contribute in interoperability and integration of e-learning systems in general
SOA是用于创建要重用和共享的服务的结构化方法,因此它通过将应用程序划分为多个软件组件以在其他系统中重用,从而在软件开发中提供了灵活性和成本节约。云计算是真正可伸缩的,并提供用户可以订阅的虚拟化资源。在虚拟学习系统中使用云和SOA为学习者提供了提高学习成果的绝佳机会。采用云服务还有助于降低软件、硬件、人力资源和基础设施的成本。本文将通过展示分布式虚拟学习系统的概念模型,并将云计算与面向服务的体系结构相结合,利用SOA和云计算将云中的虚拟学习系统变得更加集成和互操作,从而为电子学习系统的互操作性和集成做出贡献
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引用次数: 0
Solve Big Data Security Issues 解决大数据安全问题
Pub Date : 2023-04-12 DOI: 10.7753/ijcatr0503.1009
A. Banik, S. K. Bandyopadhyay
The advent of Big Data has presented nee challenges in terms of Data Security. There is an increasing need of research in technologies that can handle the vast volume of Data and make it secure efficiently. Current Technologies for securing data are slow when applied to huge amounts of data. This paper discusses security aspect of Big Data.
大数据的出现给数据安全带来了新的挑战。人们越来越需要研究能够处理大量数据并使其有效安全的技术。当前用于保护数据的技术在应用于大量数据时速度很慢。本文讨论了大数据安全方面的问题。
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引用次数: 0
An Algorithm for Finding Equivalence in Referential Relations 一种查找引用关系中等价的算法
Pub Date : 2023-04-06 DOI: 10.7753/ijcatr1204.1009
Kalman Gulzhamal, Ilyubayev Adelzhan, Aktaeva Dilara Aidosovna, Kasym Karlygash Kydyrbekkyzy, Likerova Zinaida Valentinovna, Dauletbek Aigerim
Establishing referential relations in discourse is one of the most relevant but difficult to model problems of automatic text analysis. Reference means attributing a textual unit (linguistic expression) to a non-linguistic object (referent). The correct interpretation of the statement in the analyzed text requires solving the referent of the textual reference about the object, that is, the reference of the textual expression. In this work, a model for resolving referential relations is proposed. The method used to solve the referential relationship is finding equivalence, that is, by calculating the degree of similarity of possible elements in the word, the similarity in the referential relationship is calculated, and as a result, the relationship value of the referent in the sequence of sentences is obtained. These opportunities will be a new beginning for solving referential relationships in the Kazakh language. Based on the possibilities of computer technology, this direction in developing language education creates a great opportunity for extensive research and analysis at various levels of the language treasure as a bright mirror of the spiritual and material culture of the people.
语篇中指称关系的建立是自动文本分析中最相关但最难建模的问题之一。指称是指将一个文本单位(语言表达)归属于一个非语言对象(指物)。要正确解释被分析文本中的语句,就需要解决文本指称对对象的指称,即文本表达的指称。在这项工作中,提出了一个解决参考关系的模型。解决指称关系的方法是寻找等价,即通过计算词中可能元素的相似度,计算出指称关系中的相似度,从而得到指称在句子序列中的关系值。这些机会将是解决哈萨克语指称关系的新开端。基于计算机技术的可能性,这种发展语言教育的方向为语言宝藏作为人们精神和物质文化的一面明亮的镜子,在各个层面上进行广泛的研究和分析创造了巨大的机会。
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引用次数: 0
A Survey on Blockchain-Based Supply Chain Management in Agriculture 基于区块链的农业供应链管理研究
Pub Date : 2023-04-06 DOI: 10.7753/ijcatr1204.1008
M. K, Abhay Nataraj, M. Affan, Calden Michael D’Souza, Charan Kannati
India is one of the fifth largest economies in the world by nominal GDP with 70 per cent of the rural households still depending on agriculture as their primary source of livelihood. India is responsible for 7.39 per cent of total world agricultural production. But the agricultural supply chain used in India is inefficient and caters less to the producer. Farmers who are the producers get very less profit from selling their produce. It is estimated that about 80 percent of the profits are secured by the middlemen who have significant control over the agriculture trade in the country. The lack of communication between different stages in the chain and data transparency is also one of the major reasons why the current supply chain in India is flawed. Proper communication is essential in any system to avoid the spread of any misinformation and at each stage in the supply chain sensors are required to share data with the users so that information is collected and made available to everyone concerned with the particular transaction of goods. The combination of blockchain and IoT in the agricultural sector can provide a better supply chain system from the ground up which addresses communication and transparency issues suffered by the latter systems.
按名义GDP计算,印度是世界第五大经济体之一,70%的农村家庭仍然依赖农业作为主要生计来源。印度占世界农业总产量的7.39%。但印度使用的农业供应链效率低下,对生产者的照顾较少。作为生产者的农民从出售农产品中获得的利润非常少。据估计,大约80%的利润是由对该国农业贸易有重大控制的中间商获得的。供应链中不同阶段之间缺乏沟通和数据透明度也是目前印度供应链存在缺陷的主要原因之一。在任何系统中,适当的沟通都是必不可少的,以避免任何错误信息的传播,并且在供应链的每个阶段,传感器都需要与用户共享数据,以便收集信息并将其提供给与特定货物交易有关的每个人。区块链和物联网在农业部门的结合可以从一开始就提供一个更好的供应链系统,解决后者系统所面临的沟通和透明度问题。
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引用次数: 0
期刊
International Journal of Computer Applications Technology and Research
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