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International Journal of Intelligent Information and Database Systems最新文献

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Improving the quality of service of real-time database systems through a semantics-based scheduling strategy 通过基于语义的调度策略提高实时数据库系统的服务质量
Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.1504/ijiids.2021.10033784
Fehima Achour, Emna Bouazizi, W. Jaziri
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引用次数: 0
Ontology Based Recommender System for Diabetic Patients 基于本体的糖尿病患者推荐系统
Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.11648/j.ijiis.20211006.11
Simachew Melaku, Melkamu Beyene
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引用次数: 0
An Approach to Improve the Availability of a Traffic Light System 一种提高交通灯系统可用性的方法
Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.11648/j.ijiis.20211004.11
Olajide Blessing Olajide, Oke Alice Olufunke, Odeniyi Olufemi Ayodeji, Olabiyisi Stephen Olatunde, Adeosun Olusegun Olajide
: Traffic Light System (TLS) is a standalone safety-critical infrastructure that is used to avert traffic congestion and accidents at a road intersection. It is pertinent that its service must be dependable because any failure could result to loss of lives or resources. The existing fail-safe TLS often experience downtime as a result of inevitable fault developed frequently by its Traffic Light Controller Unit (TLCU) due to harsh weather and other environmental factors exposed to on the roads. Hence, the need for a fault-tolerant TLS that will optimize TLS service delivery even at the event of a faulty TLCU initiated this work. In developing the fault-tolerant TLS, three TLCUs were interfaced using the concept of triple modular redundancy architecture. A disagreement detector was configured to test the viability of the primary TLCU using stationarity process. Markovian process was used to switch a faulty primary TLCU to a good one using majority voter mechanism. The fault-tolerant TLS and existing TLS were simulated using MATLAB R2015a. The performance of the fault-tolerant TLS was evaluated by comparing with that of existing TLS using availability as performance metric. The simulation results revealed that the fault-tolerant TLS yielded 99.9474% availability while simulation results of the existing TLS yielded 97.6199% availability. This work has therefore developed a fault-tolerant TLS that performed better than the existing fail-safe TLS.
交通灯系统(TLS)是一个独立的安全关键基础设施,用于避免交通拥堵和道路交叉路口的事故。相关的是,它的服务必须是可靠的,因为任何故障都可能导致生命或资源的损失。由于道路上恶劣的天气和其他环境因素,交通灯控制单元(TLCU)经常产生不可避免的故障,导致现有的故障安全TLS经常停机。因此,需要一个容错的TLS,即使在有错误的TLCU启动这项工作的情况下也能优化TLS服务交付。在容错TLS的开发过程中,采用三模冗余架构的概念对三个tlcu进行了接口。配置了一个分歧检测器,使用平稳性过程测试主TLCU的生存能力。采用马尔可夫过程,利用多数投票机制将故障主TLCU切换到良好的主TLCU。利用MATLAB R2015a对容错TLS和现有TLS进行了仿真。以可用性为性能指标,通过与现有TLS的性能比较,评价了容错TLS的性能。仿真结果表明,容错TLS的可用性为99.9474%,而现有TLS的仿真结果为97.6199%。因此,这项工作开发了一种容错TLS,其性能优于现有的故障安全TLS。
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引用次数: 1
Machine Learning Translation of English into Igbo Language: A Review 机器学习英语翻译成伊博语:综述
Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.11648/j.ijiis.20211005.13
Orji Ifeoma Maryann, Sylvanus Okwudili Anigbogu, Ekwelaro Oluchukwu Uzoamaka, Asogwa Doris Chinedu
: Machine learning is the machine translation used in language. A lot of people have been using it and it’s working extremely well for them. It works without delay and is getting better as day passes. Of course, this advancement will change the way the modern world operates because language barriers have been an essential impediment to international commerce since time immemorial. Language is tagged with cultural disposition of people’s ways of life. Without language there will be no existence of the world and the people living within it. The necessity of translation comes into existence because of the migration of people from one country to another. Language translation is the key technology for the in-coming generation of IT and every digital device uses it and is dependence on it. The objective of the paper is to review a machine learning translation of English to Igbo language. The major concept reviewed was machine learning in term of dealing with language translation. Machine learning is a wide and interesting field in computer science. This has been tagged as an awesome professional area for research in demands for translation of languages. Many researchers preferred using supervised learning in doing language translation while few researchers used unsupervised learning in doing language translation.
机器学习是语言中使用的机器翻译。很多人都在使用它,它对他们来说非常有效。它的工作没有延迟,并且随着时间的推移越来越好。当然,这一进步将改变现代世界的运作方式,因为语言障碍自古以来就是国际贸易的主要障碍。语言带有人们生活方式的文化倾向。没有语言,世界和生活在其中的人们将不复存在。翻译的必要性是由于人们从一个国家迁移到另一个国家而产生的。语言翻译是新一代信息技术的关键技术,每个数字设备都使用它并依赖它。本文的目的是回顾英语到伊博语的机器学习翻译。回顾的主要概念是处理语言翻译方面的机器学习。机器学习是计算机科学中一个广泛而有趣的领域。这已经被标记为研究语言翻译需求的一个令人敬畏的专业领域。许多研究者倾向于使用监督学习进行语言翻译,而很少有研究者使用非监督学习进行语言翻译。
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引用次数: 1
A scalable approach for index in generic location-aware rank query 通用位置感知排序查询中索引的可伸缩方法
Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.1504/ijiids.2021.10033771
Utharn Buranasaksee
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引用次数: 0
Construction and application of knowledge-base in telecom fraud domain 电信诈骗领域知识库的构建与应用
Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.1504/IJIIDS.2021.114532
Rongchen Zhu, Han Ye, Haichun Sun, Xin Li, Yongcheng Duan, Jiaqi Hou
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引用次数: 0
A roadmap to data science: background, future, and trends 数据科学路线图:背景、未来和趋势
Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.1504/ijiids.2020.10034014
M. Khder, S. Fujo, M. Sayfi
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引用次数: 14
Amharic Text Summarization for News Items Posted on Social Media 在社交媒体上发布新闻项目的阿姆哈拉语文本摘要
Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.11648/j.ijiis.20211006.14
Abaynew Guadie, Debela Tesfaye, Teferi Kebebew
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引用次数: 2
Real-time long short-term glance-based fire detection using a CNN-LSTM neural network 基于CNN-LSTM神经网络的实时长短视火灾探测
Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.1504/ijiids.2021.118545
Van Huan Nguyen, Thang Xuan Pham, Nguyen Le Cuong
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引用次数: 1
Construction of Blockchain Product Technology Evaluation Index System 区块链产品技术评价指标体系构建
Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.11648/j.ijiis.20211005.12
Yan Changshun, Shao Yong
Blockchain products are more and more widely used. How to reasonably evaluate blockchain products has become a hot issue. The main work of this paper is to establish a set of general evaluation indicators for blockchain products, and analyze the needs of future software systems. Firstly, the paper analyzes the common five-tier architecture adopted by the current blockchain system, namely data layer, network layer, consensus layer, smart contract layer and application layer, and expounds the hierarchical characteristics and technical contents of each layer in detail; Then on this basis, a set of general evaluation indicators is proposed for the current common blockchain products, in which the evaluation indicators can be divided into six items: distributed ledger evaluation indicators, public key password evaluation indicators, point-to-point network technology evaluation indicators, consensus mechanism evaluation indicators, intelligent contract mechanism evaluation indicators and upper layer application evaluation indicators. The establishment of indicators can comprehensively evaluate the availability, security and system performance of blockchain products. Finally, based on the evaluation index, the functional and non functional analysis of the blockchain product evaluation system is carried out, which lays a good foundation for the realization of software in the future. The design of evaluation indicators and the functional analysis of the evaluation system will promote the standardization of blockchain products.
区块链产品的应用越来越广泛。如何合理评价区块链产品已成为一个热点问题。本文的主要工作是建立一套区块链产品的通用评价指标,并分析未来软件系统的需求。首先,本文分析了当前区块链系统常用的五层架构,即数据层、网络层、共识层、智能合约层和应用层,并详细阐述了各层的层次特征和技术内容;然后在此基础上,针对目前常见的区块链产品提出了一套通用评价指标,其中评价指标可分为6个项目:分布式账本评价指标、公钥密码评价指标、点对点网络技术评价指标、共识机制评价指标、智能合约机制评价指标和上层应用评价指标。指标的建立可以综合评价区块链产品的可用性、安全性和系统性能。最后,基于评价指标,对区块链产品评价体系进行了功能和非功能分析,为今后软件的实现奠定了良好的基础。评价指标的设计和评价体系的功能分析将促进区块链产品的标准化。
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引用次数: 1
期刊
International Journal of Intelligent Information and Database Systems
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