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Rules for Orthographic Word Parsing of the Philippines' Cebuano-Visayan Language Using Context-Free Grammars 菲律宾Cebuano-Visayan语言使用上下文无关语法的正字法词解析规则
Pub Date : 2020-04-01 DOI: 10.4018/ijssci.2020040103
Roseclaremath A. Caroro, Rolysent K. Paredes, Jerry M. Lumasag
Syllabication is essential in the preprocessing stage of speech systems. In the context of the Philippines' Cebuano-Visayan language's syllabication rules, the existing rules do not include hyphenated words although the hyphen defines the syllable boundary in a word. Hence, this study created grammar rules for hyphenated words which include sequences of a hyphen between vowel-consonant, consonant-consonant, vowel-vowel, and consonant-vowel. The test was done for the enhanced grammar rules for Cebuano-Visayan syllabication with 1,465 representative hyphenated and non-hyphenated words of varying lengths. The result further implies that the syllabication analysis for hyphenated words showed that hyphens improve the naturalness and intelligibility in the utterance of the words, thereby enhancing the understanding and comprehension of the Cebuano-Visayan discourse.
在语音系统的预处理阶段,音节识别是必不可少的。在菲律宾的宿雾诺-维萨扬语的音节规则中,现有的规则不包括连字符,尽管连字符定义了单词中的音节边界。因此,本研究创建了连字符词的语法规则,包括元音-辅音、辅音-辅音、元音-元音和辅音-元音之间的连字符序列。该测试采用1,465个具有代表性的不同长度的连字符和非连字符单词来完成Cebuano-Visayan音节语法规则的增强。结果进一步表明,对连字符的音节分析表明,连字符提高了单词的自然度和可理解性,从而增强了对宿雾诺语-维萨扬语语篇的理解和理解。
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引用次数: 6
Digitalization in Software Engineering and IT Business 软件工程和IT业务中的数字化
Pub Date : 2020-04-01 DOI: 10.4018/ijssci.2020040101
D. Pashchenko
Competition in industry of software production as well as in IT sector has special features. Understanding current trends and complex connections between software industry and world economic development gives new ideas about competition in the IT domain. One of the key trends is digital transformation. It is supported by software, but it also has a strong impact on the software development industry and provides the new opportunities in software production and IT business change management. The main idea of the paper is total automation and a focus on measurable processes that give a continual flow of digital data that should be used on different levels of a company's management, business development, production processes, and even client's perception of the software product. Management of those core activities, based on such digital data flows, is becoming sophisticated and more flexible, based on relevant and estimated indicators. In this article, there is a multifactor analysis of digitalization in software engineering and IT business management with a focus on change management. The main results of research are demonstrating how the influence of digitalization could be used in competition.
软件生产行业和信息技术行业的竞争具有其特殊性。了解当前的趋势和软件产业与世界经济发展之间的复杂联系,可以为IT领域的竞争提供新的思路。其中一个关键趋势是数字化转型。它是由软件支持的,但它也对软件开发行业产生了强烈的影响,并为软件生产和It业务变更管理提供了新的机会。本文的主要思想是完全自动化,并关注可测量的过程,这些过程提供了持续的数字数据流,这些数据应该用于公司管理、业务开发、生产过程,甚至客户对软件产品的感知。根据这些数字数据流对这些核心活动的管理,根据有关的和估计的指标,正变得更加复杂和灵活。在本文中,将对软件工程和IT业务管理中的数字化进行多因素分析,重点关注变更管理。研究的主要结果是展示了如何在竞争中利用数字化的影响。
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引用次数: 5
The Math Model of Drone Behavior in the Hive, Providing Algorithmic Architecture 蜂群中无人机行为的数学模型,提供算法架构
Pub Date : 2020-04-01 DOI: 10.4018/ijssci.2020040102
Rinat Galiautdinov
Nowadays, drones play a significant role not only in civil ventures, but also in the military sphere. Planning the trajectories of the hives of the drones is not a trivial task and requires deep research. In this research, the author considers different strategies of biological creatures and then extrapolated on the drones. The author's research demonstrates the math model of the drones behavior in the hive, provides algorithmic architecture. The author describes in the detail the layers of the system for management of the drones and their responsibilities and architecture. The author also provides a software algorithm which demonstrates effective grouping of the drones (creating a swarm) which is later on used in the movement of the swarm.
如今,无人机不仅在民用领域发挥着重要作用,而且在军事领域也发挥着重要作用。规划无人机蜂巢的飞行轨迹不是一项简单的任务,需要深入的研究。在本研究中,作者考虑了生物的不同策略,然后在无人机上进行外推。作者的研究展示了蜂群中无人机行为的数学模型,提供了算法架构。作者详细介绍了无人机管理系统的各层及其职责和体系结构。作者还提供了一种软件算法,该算法演示了无人机的有效分组(创建蜂群),该算法后来用于蜂群的运动。
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引用次数: 3
A Computer-Assisted Diagnostic (CAD) of Screening Mammography to Detect Breast Cancer Without a Surgical Biopsy 计算机辅助诊断(CAD)筛选乳房x光检查发现乳腺癌不手术活检
Pub Date : 2019-10-01 DOI: 10.4018/ijssci.2019100103
Hadj Ahmed Bouarara
Breast cancer has become a major health problem in the world over the past 50 years and its incidence has increased in recent years. It accounts for 33% of all cancer cases, and 60% of new cases of breast cancer occur in women aged 50 to 74 years. In this work we have proposed a computer-assisted diagnostic (CAD) system that can predict whether a woman has cancer or not by analyzing her mammogram automatically without passing through a biopsy stage. The screening mammogram will be vectorized using the n-gram pixel representation. After the vectors obtained will be classified into one of the classes—with cancer or without cancer—using the social elephant algorithm. The experimentation using the digital database for screening mammography (DDSM) and validation measures—f-measure entropy recall, accuracy, specificity, RCT, ROC, AUC—show clearly the effectiveness and the superiority of our proposed bioinspired technique compared to others techniques existed in the literature such as naïve bayes, Knearest neighbours, and decision tree c4.5. The goal is to help radiologists with early detection to reduce the mortality rate among women with breast cancer.
在过去50年中,乳腺癌已成为世界上一个主要的健康问题,近年来其发病率有所增加。它占所有癌症病例的33%,60%的乳腺癌新病例发生在50至74岁的妇女中。在这项工作中,我们提出了一种计算机辅助诊断(CAD)系统,该系统可以通过自动分析乳房x光片来预测女性是否患有癌症,而无需经过活检阶段。筛查乳房x光片将使用n图像素表示进行矢量化。之后,利用社会大象算法将得到的向量分类为一类——有癌症或没有癌症。使用乳腺筛查数字数据库(DDSM)和验证措施(f-measure熵查全率,准确性,特异性,RCT, ROC, auc)进行的实验清楚地表明,与文献中存在的其他技术(如naïve bayes, Knearest neighbors和决策树c4.5)相比,我们提出的生物启发技术的有效性和优越性。目的是帮助放射科医生进行早期检测,以降低乳腺癌妇女的死亡率。
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引用次数: 5
Convolutional Approach Also Benefits Traditional Face Pattern Recognition Algorithm [208!] 卷积方法也有利于传统的人脸模式识别算法[208!]
Pub Date : 2019-10-01 DOI: 10.4018/ijssci.2019100101
Yunke Li, Hongyuan Shi, Liang Chen, Fan Jiang
Convolutional neural networks (CNN) are widely used deep learning frameworks and are applied in the field of face recognition, achieving outstanding results. The Macropixel comparison approach is a shallow mathematical approach that recognizes faces by comparing the original pixel blocks of face images. In this article, the authors are inspired by ideas of the currently popular deep neural network framework and introduce two features into the mathematical approach: deep overlap and weighted filter. The aim is to explore if the idea of deep learning could benefit mathematical recognition method, which might extend the scope of face recognition research. Results from the experiments show that the new proposed approach achieves markedly better recognition rates than the original macropixel methods.
卷积神经网络(CNN)是应用广泛的深度学习框架,在人脸识别领域得到了应用,取得了突出的效果。Macropixel比较方法是一种浅层的数学方法,通过比较人脸图像的原始像素块来识别人脸。在本文中,作者受到当前流行的深度神经网络框架思想的启发,在数学方法中引入了两个特征:深度重叠和加权滤波。目的是探索深度学习的思想是否有利于数学识别方法,这可能会扩大人脸识别研究的范围。实验结果表明,该方法的识别率明显高于原有的宏像素方法。
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引用次数: 7
Northern Bald Ibis Algorithm-Based Novel Feature Selection Approach 基于北朱鹮算法的新特征选择方法
Pub Date : 2019-10-01 DOI: 10.4018/ijssci.2019100102
Ravi Kumar Saidala
Emails have become one of the popular and flexible web or mobile-based applications that enables users to communicate. For decades, the most severe problem identified in email applications was unwanted emails. Electronic spam is also referred as spam emails, in which unsolicited and unwanted mails are Received. Making an email mailbox clean by detecting and eliminating all the spam mails is a challenging task. Classification-based email filtering is one of the best approaches used by many researchers to deal with the spam email filtering problem. In this work, the NOA optimization algorithm and the SVM classifier are used for getting an optimal feature subset of the Enron-spam dataset and classifying the obtained optimal feature subset. NOA is a recently developed metaheuristic algorithm which is driven by mimicking the energy saving flying pattern of the Northern Bald Ibis (Threskiornithidae). The performance comparisons have been made with other existing methods. The superiority of the proposed novel feature selection approach is evident in the analysis and comparison of the classification results.
电子邮件已经成为一种流行和灵活的网络或移动应用程序,使用户能够进行交流。几十年来,电子邮件应用程序中最严重的问题是不受欢迎的电子邮件。电子垃圾邮件也被称为垃圾邮件,其中收到未经请求和不需要的邮件。通过检测和消除所有垃圾邮件来清理电子邮件邮箱是一项具有挑战性的任务。基于分类的电子邮件过滤是许多研究人员用来处理垃圾邮件过滤问题的最佳方法之一。本文采用NOA优化算法和SVM分类器对Enron-spam数据集进行最优特征子集的提取,并对得到的最优特征子集进行分类。NOA算法是最近发展起来的一种元启发式算法,该算法通过模拟北方秃鹮(Threskiornithidae)的节能飞行模式来驱动。并与其他现有方法进行了性能比较。通过对分类结果的分析和比较,可以看出所提出的新特征选择方法的优越性。
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引用次数: 0
Abstract Retrieval over Wikipedia Articles Using Neural Network 基于神经网络的维基百科文章检索
Pub Date : 2019-07-01 DOI: 10.4018/ijssci.2019070102
F. Al-akashi
In this article, we propose a neural network model to create a Wikipedia article summarization for each query to allow users to find summary of the topic without going through the whole content in the article. Often, Wikipedia returns the articles related to a search query that makes obvious finding the relevant topic for the user. Text summarization is generated by extracting all those important sentences that are most significant in its topics and have a strong match in its content. Experimentally, each sentence in the article content is encoded as a set of features and presented as an input to the network. The proposed neural network is trained using a set of randomly selected typical articles from Wikipedia. The network output is then used to predict the sentences as a summary of content from the searched query. The results showed that the proposed approach is robust and efficient at finding relevant summaries for most searched queries. Evaluation of the proposal yields accuracy scores of 0.10317 in ROUGE-N and 0.13998 in ROUGE–L.
在本文中,我们提出了一个神经网络模型来为每个查询创建维基百科文章摘要,以允许用户在不浏览文章全文的情况下找到主题摘要。通常,Wikipedia会返回与搜索查询相关的文章,这可以很明显地为用户找到相关主题。文本摘要是通过提取所有在其主题中最重要且在其内容中具有强匹配的重要句子来生成的。实验上,文章内容中的每个句子都被编码为一组特征,并作为网络的输入呈现。所提出的神经网络使用一组从维基百科随机选择的典型文章进行训练。然后使用网络输出来预测句子,作为搜索查询内容的摘要。结果表明,所提出的方法对于大多数搜索查询具有鲁棒性和有效性。对建议的评估得出ROUGE-N和ROUGE-L的准确率得分分别为0.10317和0.13998。
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引用次数: 2
Simulating Timing Behaviors for Cyber-Physical Systems Using Modelica 利用Modelica模拟信息物理系统的时序行为
Pub Date : 2019-07-01 DOI: 10.4018/ijssci.2019070103
Hao Zhou, Mengyao Zhao, Linbo Wu, Xiaohong Chen
Cyber-physical systems (CPSs) connect the cyber world with the physical world through a network of interrelated elements, such as sensors and actuators, robots, and other computing devices. Timing constraints on the interactions (timing behaviors) should be modelled and verified as cyber-physical systems are becoming more and more complex. This article proposes modeling the typical timing behaviors according to their time characteristics, periodicity, multiform time, and synchronization, and verifies them against properties using simulations. Sequence diagrams are presented for the modeling, and modelica is used for simulation. In the simulation, the time dependence relations are defined, and used for simulation parameter data automatic generation, in addition to the paths from the sequence diagrams. Finally, a Parachute System is used as an example to show the feasibility and effectiveness of the approach.
网络物理系统(cps)通过传感器和执行器、机器人和其他计算设备等相互关联的元素组成的网络,将网络世界与物理世界连接起来。随着信息物理系统变得越来越复杂,需要对交互作用的时序约束(时序行为)进行建模和验证。本文根据典型的时序行为的时间特性、周期性、多形式时间和同步性,提出了典型时序行为的建模方法,并通过仿真对其特性进行了验证。时序图用于建模,modelica用于仿真。在仿真中,定义了时间依赖关系,并利用时序图中的路径自动生成仿真参数数据。最后,以某降落伞系统为例,验证了该方法的可行性和有效性。
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引用次数: 0
Software Reliability Assessment of Safety Critical System Using Computational Intelligence 基于计算智能的安全关键系统软件可靠性评估
Pub Date : 2019-07-01 DOI: 10.4018/ijssci.2019070101
R. Bharathi, R. Selvarani
In the recent past, automotive industries are concentrating on software controlled automatic functions for its safety operations. The automotive safety and reliability lie in its design, construction, and software implementation. To assess the software reliability, the hidden design errors are classified and quantified. The temporal characteristic of numerical error is analyzed and its probabilistic behavior is explored using a novel framework called software failure estimation with numerical error (SFENE). Here, a model is devised to assess the probability of occurrence of the numerical error and its propagations from the initial to various other states using a Hidden Markov Model. It is seen that the framework SFENE supports classifying and quantifying the behavior of numerical errors while interacting across its system components and aids in the assessment on software reliability at design stage. The sensitivity and precision are found to be satisfactory. This attempt will support in the development of cost effective and error free safety critical software system.
近年来,汽车行业正致力于软件控制的自动功能,以确保其安全运行。汽车的安全性和可靠性取决于其设计、构造和软件实现。为了评估软件的可靠性,对隐藏的设计错误进行了分类和量化。采用一种新的基于数值误差的软件故障估计框架,分析了数值误差的时间特征,探讨了数值误差的概率行为。在这里,设计了一个模型来评估数值误差发生的概率及其使用隐马尔可夫模型从初始到各种其他状态的传播。可以看出,框架sene支持在其系统组件之间相互作用时对数值误差的行为进行分类和量化,并有助于在设计阶段对软件可靠性进行评估。结果表明,该方法具有良好的灵敏度和精度。这一尝试将有助于开发具有成本效益和无错误的安全关键软件系统。
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引用次数: 7
A Novel Chaotic Northern Bald Ibis Optimization Algorithm for Solving Different Cluster Problems [ICCICC18 #155] 一种新的混沌朱鹭不同聚类问题的优化算法[ICCICC18 #155]
Pub Date : 2019-04-01 DOI: 10.4018/IJSSCI.2019040101
Ravi Kumar Saidala, Nagaraju Devarakonda
This article proposes a new optimal data clustering method for finding optimal clusters of data by incorporating chaotic maps into the standard NOA. NOA, a newly developed optimization technique, has been shown to be efficient in generating optimal results with lowest solution cost. The incorporation of chaotic maps into metaheuristics enables algorithms to diversify the solution space into two phases: explore and exploit more. To make the NOA more efficient and avoid premature convergence, chaotic maps are incorporated in this work, termed as CNOAs. Ten different chaotic maps are incorporated individually into standard NOA for testing the optimization performance. The CNOA is first benchmarked on 23 standard functions. Secondly, testing was done on the numerical complexity of the new clustering method which utilizes CNOA, by solving 10 UCI data cluster problems and 4 web document cluster problems. The comparisons have been made with the help of obtaining statistical and graphical results. The superiority of the proposed optimal clustering algorithm is evident from the simulations and comparisons.
本文提出了一种新的最优数据聚类方法,通过将混沌映射引入标准NOA来寻找最优数据聚类。NOA是一种新发展起来的优化技术,能够以最小的求解成本生成最优结果。将混沌映射合并到元启发式中,使算法能够将解空间多样化,分为两个阶段:探索和利用更多。为了使NOA更有效并避免过早收敛,本工作中加入了混沌映射,称为CNOAs。将10种不同的混沌映射分别纳入标准NOA中,以测试优化性能。CNOA首先对23个标准功能进行了基准测试。其次,通过解决10个UCI数据聚类问题和4个web文档聚类问题,对利用CNOA聚类方法的数值复杂度进行了测试。通过统计结果和图形结果进行了比较。通过仿真和比较,可以看出所提出的最优聚类算法的优越性。
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引用次数: 3
期刊
Int. J. Softw. Sci. Comput. Intell.
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