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Application of Augmented Reality (AR) in T-Shirt Catalog 增强现实(AR)技术在t恤目录中的应用
IF 1 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2019-05-31 DOI: 10.11113/IJIC.V9N1.212
Siti Arpah Ahmad, Zarina Zainol, R. Yunos, Adzhar Abd Kadir, Mohd. Zaki Haji Ghazali, Muhammad Fadzil Murad
Augmented Reality (AR) is a visual technology that able to provide users with a semi-real time experience. The advancement of mobile phone and camera technology have make the potential of AR emerged. Companies wants high product sales and look more advanced than their competitors. One of the effort is to provide customers with correct experience of their products. Catalog is a tool to market a product. However, paper printing catalog is two dimensional, and has limitation in fully presenting the product. This work, presents the adoption of AR in T-shirt catalog. The application utilized Android mobile phone to view the 3D model of the t-shirt. The user scan the catalog using the android handphone on the paper printing catalog, and they able to view in 3D the different angle of the T-shirt. This application has successfully developed and testing has been made on compatibility and functionality test.
增强现实(AR)是一种能够为用户提供半实时体验的视觉技术。手机和摄像技术的进步使得AR的潜力得以显现。公司希望产品销量高,看起来比竞争对手更先进。其中一项努力是为客户提供正确的产品体验。目录是一种推销产品的工具。然而,纸质印刷目录是二维的,在充分展示产品方面存在局限性。本文介绍了AR技术在t恤目录中的应用。该应用程序利用Android手机查看t恤的3D模型。用户使用android手机扫描纸质打印目录上的目录,就可以以3D的方式查看t恤的不同角度。该应用程序已成功开发,并进行了兼容性和功能测试。
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引用次数: 1
A Survey on SQL Injection Prevention Methods SQL注入预防方法综述
IF 1 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2019-05-31 DOI: 10.11113/IJIC.V9N1.224
Shahbaaz Mohammed Hayat Chaki, M. Din
Database plays a very important role in everyone’s life including the organizations since everything today is connected via Internet and to manage so many data. There is a need of database which helps organizations to organize, sort and manage the data and to ensure that the data which a user is receiving and sending through the mean of database is secure since the database stores almost everything such as Banking details which includes user id, Password and so. Thus, it means that the data are really valuable and confidential to us and therefore security really matters for database. SQL Injection Attacks on the database are becoming common in this era where the hackers are trying to steal the valuable data of an individual through the mean of SQL Injection Attack by using malicious query on the application. This application reveals the individual data by an efficient and the best SQL Injection Prevention technique is required in order to protect the individual data from being stolen by the hackers. Therefore, this paper will be focusing on reviewing different types of SQL Injection prevention methods and SQL injection types. The initial finding of this paper can make comparison of different types of SQL Injection Prevention methods which will enable the Database Administrator to choose the best and the efficient SQL Injection Prevention Method for their organization. Consequently, Preventing of SQL Injection Attack from happening which would ultimately result in no data loss of an user.
数据库在每个人的生活中扮演着非常重要的角色,包括组织,因为今天的一切都是通过互联网连接的,并且管理着如此多的数据。有一个数据库的需要,它可以帮助组织,排序和管理数据,并确保用户通过数据库接收和发送的数据是安全的,因为数据库存储了几乎所有的东西,如银行详细信息,包括用户id,密码等。因此,这意味着数据对我们来说是非常有价值和机密的,因此数据库的安全性非常重要。在这个时代,针对数据库的SQL注入攻击越来越普遍,黑客试图通过对应用程序进行恶意查询,通过SQL注入攻击的方式窃取个人的有价值数据。这个应用程序揭示了一个有效的个人数据,最好的SQL注入预防技术是为了保护个人数据被黑客窃取。因此,本文将重点回顾不同类型的SQL注入预防方法和SQL注入类型。本文的初步发现可以对不同类型的SQL注入预防方法进行比较,从而使数据库管理员能够为自己的组织选择最优、最有效的SQL注入预防方法。因此,防止SQL注入攻击的发生,最终不会导致用户的数据丢失。
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引用次数: 3
Classification and Feature Selection Approaches by Machine Learning Techniques: Heart Disease Prediction 基于机器学习技术的分类和特征选择方法:心脏病预测
IF 1 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2019-05-31 DOI: 10.11113/IJIC.V9N1.210
N. Reddy, Song Shue Nee, Lim Zhi Min, Chew Xin Ying
The heart disease has been one of the major causes of death worldwide. The heart disease diagnosis has been expensive nowadays, thus it is necessary to predict the risk of getting heart disease with selected features. The feature selection methods could be used as valuable techniques to reduce the cost of diagnosis by selecting the important attributes. The objectives of this study are to predict the classification model, and to know which selected features play a key role in the prediction of heart disease by using Cleveland and statlog project heart datasets. The accuracy of random forest algorithm both in classification and feature selection model has been observed to be 90–95% based on three different percentage splits. The 8 and 6 selected features seem to be the minimum feature requirements to build a better performance model. Whereby, further dropping of the 8 or 6 selected features may not lead to better performance for the prediction model.
心脏病一直是世界范围内死亡的主要原因之一。在心脏病诊断费用昂贵的今天,有必要根据选定的特征来预测患心脏病的风险。特征选择方法可以作为一种有价值的技术,通过选择重要的属性来降低诊断成本。本研究的目的是通过使用Cleveland和statlog项目心脏数据集来预测分类模型,并了解哪些选择的特征在预测心脏病中起关键作用。基于三种不同的百分比分割,观察到随机森林算法在分类和特征选择模型上的准确率为90-95%。所选择的8和6个特性似乎是构建更好的性能模型的最低特性要求。因此,进一步删除所选的8或6个特征可能不会为预测模型带来更好的性能。
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引用次数: 41
A Preliminary Study on Learning Challenges in Machine Learning-based Flight Delay Prediction 基于机器学习的航班延误预测学习挑战初探
IF 1 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2019-05-31 DOI: 10.11113/IJIC.V9N1.204
Ismail B. Mustapha, S. Shamsuddin, S. Hasan
Machine learning based flight delay prediction is one of the numerous real-life application domains where the problem of imbalance in class distribution is reported to affect the performance of learning algorithms. However, the fact that learning algorithms have been reported to perform well on some class imbalance problems posits the possibility of other contributing factors. In this study, we visually explore air traffic data after dimensionality reduction with t-Distributed Stochastic Neighbour Embedding. Our initial findings suggest a high degree of overlapping between the delayed and on-time class instances which can be a greater problem for learning algorithms than class imbalance.
基于机器学习的航班延误预测是众多现实应用领域之一,据报道,类分布不平衡问题会影响学习算法的性能。然而,据报道,学习算法在一些类失衡问题上表现良好,这一事实表明可能存在其他因素。在本研究中,我们使用t分布随机邻域嵌入对降维后的空中交通数据进行可视化研究。我们的初步研究结果表明,延迟和准时类实例之间存在高度重叠,这对于学习算法来说可能是一个比类不平衡更大的问题。
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引用次数: 2
A rule-based expert system for automatic question classification in mathematics adaptive assessment on indonesian elementary school environment 基于规则的印尼小学数学适应性评估问题自动分类专家系统
IF 1 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2019-02-01 DOI: 10.24507/IJICIC.15.01.143
Umi Laili Yuhana, S. Rochimah, E. M. Yuniarno, A. Rysbekova, A. Tormási, L. Kóczy, M. Purnomo
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引用次数: 2
An approach of the product form design based on gra-fuzzy logic model: A case study of train seats 基于模糊-模糊逻辑模型的产品形态设计方法——以火车座椅为例
IF 1 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2019-02-01 DOI: 10.24507/IJICIC.15.01.261
Lei Xue, Xiao Yi, Yang-Cheng Lin, J. Drukker
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引用次数: 7
Novel concepts of doubt bipolar fuzzy H-ideals of BCK/BCI-algebras BCK/ bci代数怀疑双极模糊h理想的新概念
IF 1 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2018-12-01 DOI: 10.24507/IJICIC.14.06.2025
Anas Al-Masarwah, A. Ahmad
In this paper, we introduce the notion of doubt bipolar fuzzy H-ideals of BCK/BCI-algebras and investigate some interesting properties. We characterize strong doubt positive t-level cut set, strong doubt negative s-level cut set, homomorphism and equivalence relation by considering doubt bipolar fuzzy H-ideals of BCK/BCI-algebras. Characterization theorem of characteristic doubt bipolar fuzzy H-ideals is also discussed. Particularly, the notion of Cartesian product of two doubt bipolar fuzzy H-ideals by using max-min operations is introduced, and some related properties are studied. Ordinary H-ideals are linked with doubt bipolar fuzzy H-ideals by means of doubt level cut set of Cartesian product of two bipolar-valued fuzzy sets.
本文引入了BCK/ bci -代数的怀疑双极模糊h理想的概念,并研究了其一些有趣的性质。考虑BCK/ bci -代数的怀疑双极模糊h理想,刻画了强怀疑正t-水平切集、强怀疑负s-水平切集、同态和等价关系。讨论了特征怀疑双极模糊h理想的表征定理。特别地,利用极大极小运算引入了两个怀疑双极模糊h理想的笛卡尔积的概念,并研究了一些相关的性质。利用两个双极值模糊集的笛卡尔积的怀疑水平切集,将普通h理想与怀疑双极模糊h理想联系起来。
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引用次数: 23
The predictive modeling for learning student results based on sequential rules 基于顺序规则的学习学生成绩预测建模
IF 1 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2018-12-01 DOI: 10.24507/IJICIC.14.06.2129
H. Nguyen, Thi-Thiet Pham, Van Vo, Bay Vo, T. Quan
Nowadays, learning activities at universities in Vietnam are mostly in the form of credit-based mode. That is, to graduate students have to complete the subjects specified in the curriculum including the compulsory and optional ones. Therefore, to achieve their best performance, students would need guidelines on study direction in the compulsory subjects and choose the optional courses appropriate to their interests and abilities. Based on these practical requirements, the paper proposes a tool to assist students in predicting their own academic performance in order to improve their academic ability and be more scientifically grounded. In addition, the tool also helps students choose the subjects for the next semester in a reasonable manner. This tool is based on a set of sequential rules derived from the learning result of the students. To evaluate the performance of the proposed model, this tool was tested from real students records in the Faculty of Information Technology in Ho Chi Minh City University of Industry.
目前,越南大学的学习活动大多以学分为基础的模式。也就是说,研究生必须完成课程中规定的科目,包括必修课和选修课。因此,为了达到最好的成绩,学生需要在必修课上指导学习方向,并选择适合自己兴趣和能力的选修课程。基于这些实际需求,本文提出了一个工具来帮助学生预测自己的学习成绩,以提高他们的学术能力,更加科学地立足。此外,该工具还可以帮助学生合理选择下学期的科目。这个工具是基于一组从学生的学习结果中衍生出来的顺序规则。为了评估所提出的模型的性能,该工具从胡志明市工业大学信息技术学院的真实学生记录中进行了测试。
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引用次数: 8
Cyber attack and defense training: Using emulab as a platform 网络攻击与防御训练:以模拟器为平台
IF 1 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2018-12-01 DOI: 10.24507/IJICIC.14.06.2245
C. Kuo, Kai Chain, Chu-Sing Yang
. Although the convenience of the Internet has changed contemporary society, lifestyles, and interpersonal communications, it has also enabled various network intru-sions that attempt to seize fame or profits through manipulating Internet functionality, computers, software, or the social weaknesses of the users. Attackers have leveraged new technologies and developed new techniques to deploy an endless array of tactics and skills. However, conventional cybersecurity education often relies on classroom teaching instead of practical tasks using real machines, because actual machine practice often provokes attacks or abnormal network traffic. This article used Emulab as a testing platform to provide a controllable environment that enabled quick deployment, adjustment, and measurement of both offensive and defensive cybersecurity experiments. Through the integration of cyber-attack and defense maneuvers within predetermined scenarios, as well as related cybersecurity questions, this article compiled data regarding the operations and responses of the participants in the exercises. This enabled analysis and improvement of the attack and defense maneuvers, the scenarios, and the platform.
. 虽然互联网的便利性改变了当代社会、生活方式和人际交往,但它也使各种网络入侵成为可能,这些入侵试图通过操纵互联网功能、计算机、软件或用户的社会弱点来攫取名誉或利益。攻击者利用新技术并开发了新技术来部署无尽的战术和技能。然而,传统的网络安全教育往往依赖于课堂教学,而不是使用真实的机器进行实际任务,因为实际的机器实践往往会引发攻击或异常的网络流量。本文使用Emulab作为测试平台,提供了一个可控的环境,支持快速部署、调整和测量进攻性和防御性网络安全实验。本文通过对预定场景下网络攻防演习的整合,以及相关的网络安全问题,编制了演习参与者的行动和反应数据。这使得分析和改进攻击和防御机动、场景和平台成为可能。
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引用次数: 5
Benefits of Social Media Platform in Healthcare 社交媒体平台在医疗保健领域的好处
IF 1 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2018-11-21 DOI: 10.11113/IJIC.V8N3.201
Nur Ain Zulkefli, N. A. Iahad, Ahmad Fadhil Yusof
The existence of technology such as social media platforms have led individuals and health experts to use it as a supplementary tool. Providing healthcare purposes through social media platforms can facilitate and encourage individuals to gather information as well as acquire social support. Integrating social media platforms into healthcare context is a developing area of behavioral research. It is also found that there is a limited number of studies that reported the benefit acquire from the utilization of social media platforms in healthcare context. Thus, this study reported several benefits that individuals can acquire from the usage of social media platforms for healthcare context.
社交媒体平台等技术的存在使得个人和健康专家将其作为一种补充工具。通过社交媒体平台提供医疗保健目的可以促进和鼓励个人收集信息并获得社会支持。将社交媒体平台整合到医疗保健环境中是行为研究的一个发展领域。研究还发现,有有限数量的研究报告了在医疗保健背景下使用社交媒体平台所获得的好处。因此,本研究报告了个人可以从医疗保健环境中使用社交媒体平台获得的几个好处。
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引用次数: 2
期刊
International Journal of Innovative Computing Information and Control
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