2017 Intelligent Systems Conference (IntelliSys)最新文献_第9页

Sensor fusion system for autonomous localization of mobile robots 移动机器人自主定位的传感器融合系统

2017 Intelligent Systems Conference (IntelliSys) Pub Date : 2017-09-01 DOI: 10.1109/INTELLISYS.2017.8324249

M. Avila, J. G. Arancibia

引用次数: 1

Modeling of computational perception of reality, situational awareness, cognition and machine learning under uncertainty 不确定性下的计算现实感知、情境感知、认知和机器学习建模

2017 Intelligent Systems Conference (IntelliSys) Pub Date : 2017-09-01 DOI: 10.1109/INTELLISYS.2017.8324314

Ben Khayut, Lina Fabri, Maya Avikhana

{"title":"Modeling of computational perception of reality, situational awareness, cognition and machine learning under uncertainty","authors":"Ben Khayut, Lina Fabri, Maya Avikhana","doi":"10.1109/INTELLISYS.2017.8324314","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2017.8324314","url":null,"abstract":"The paper suggests how to model a computational perception of reality, situational awareness, cognition and machine learning, in the system of Computational Systemic Deep Mind. The modules of this model, determine the states of objects in the environment of unknown in advance situation, represent and realize the objects by machine memory, display the objects to be recognized by systems and humans. The method applies to the principles of the systemic and situational control, the main achievements of fuzzy logic, linguistics and cyber-physical approach to the perception, understanding and processing of languages, images, signals and other essences of reality. The functionality of this method is based on the following interconnected modules: 1) situational fuzzy control of data, information, knowledge, objects and subsystems; 2) fuzzy inference; 3) decisions making; 4) knowledge representation; 5) knowledge generalization; 6) reasoning; 7) systems thinking; and 8) intelligent user interface. The use of this method allows to be self-organized under uncertainty and to operate autonomously in various subject areas.","PeriodicalId":131825,"journal":{"name":"2017 Intelligent Systems Conference (IntelliSys)","volume":"160 45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130507940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Quantitative model for dynamic propagation and countermeasure of malicious cyber attack on the mobile wireless network 移动无线网络中恶意网络攻击动态传播的定量模型及对策

2017 Intelligent Systems Conference (IntelliSys) Pub Date : 2017-09-01 DOI: 10.1109/INTELLISYS.2017.8324266

A. Falaye, Etuk Stella Oluyemi, Seun Ale, M. Abdullahi, Ugwu Cosmas Uchenna, Femi Awogbemi

{"title":"Quantitative model for dynamic propagation and countermeasure of malicious cyber attack on the mobile wireless network","authors":"A. Falaye, Etuk Stella Oluyemi, Seun Ale, M. Abdullahi, Ugwu Cosmas Uchenna, Femi Awogbemi","doi":"10.1109/INTELLISYS.2017.8324266","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2017.8324266","url":null,"abstract":"One major concern of network and data security consultants globally is the capabilities of infectious malicious cyber-attacks (Malware) to invade the entire population of the network terminals within few days of an outbreak of an attack to wreak havoc ranging from identity theft, financial fraud to systemic digital assault on critical national assets. It is known that when the vulnerable mobile device communicates with the infected nodes, it becomes infected. This work studies the behavioral dynamics of the Vulnerable, infected and the recovered terminals on the mobile wireless network and the effectiveness of an antivirus security signature as countermeasure and the effect of lack of anti-virus update. Solving for stability, we found out that its Eigen values gives a negative value which means that the equilibrium point is in a stable state. We analyzed the differential equations using Homotopy Perturbation Method (HPM). The simulation to evaluate the consequence of different countermeasure options were carried on a mathematical-tool platform called maple. From our results we discovered that if security patches are fixed on our mobile devices and there is regular antivirus update on the devices, then financial fraud, privacy inversion and running of scam can be curtailed to a significant level.","PeriodicalId":131825,"journal":{"name":"2017 Intelligent Systems Conference (IntelliSys)","volume":"647 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133068190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Robustness of cooperative behaviour model on N robot-based multi-robot systems: Application to mine emergency and disaster management 基于N个机器人的多机器人系统合作行为模型的鲁棒性:在矿山应急灾害管理中的应用

2017 Intelligent Systems Conference (IntelliSys) Pub Date : 2017-09-01 DOI: 10.1109/INTELLISYS.2017.8324254

C. Yinka-banjo, I. Osunmakinde, A. Bagula

引用次数: 1

LUCID: Author name disambiguation using graph Structural Clustering LUCID:使用图结构聚类消除作者姓名歧义

2017 Intelligent Systems Conference (IntelliSys) Pub Date : 2017-09-01 DOI: 10.1109/INTELLISYS.2017.8324326

I. Hussain, S. Asghar

{"title":"LUCID: Author name disambiguation using graph Structural Clustering","authors":"I. Hussain, S. Asghar","doi":"10.1109/INTELLISYS.2017.8324326","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2017.8324326","url":null,"abstract":"Author name ambiguity may occur in two situations when multiple authors have the same name or the same author writes her name in multiple ways. The former is called homonym and the later is called synonym. Disambiguation of these ambiguous authors is a non-trivial job because there is a limited amount of information available in citations data set. In this paper, a graph structural clustering algorithm “LUCID: Author Name Disambiguation using Graph Structural Clustering” is proposed which disambiguates authors by using community detection algorithm and graph operations. In the first phase, LUCID performs some preprocessing tasks on data set and creates blocks of ambiguous authors. In the second phase coauthors graph is built and “SCAN: A Structural Clustering Algorithm for Networks” is applied to detect hubs, outliers, and clusters of nodes (author communities). The hub node that intersects with many clusters is considered as a homonym and resolved by splitting across this node. Finally, the synonyms are disambiguated using proposed hybrid similarity function. LUCID performance is evaluated using a real data set of Arnetminer. Results show that LUCID performance is overall better than baseline methods and it achieves 97% in terms of pairwise precision, 74% in pairwise recall and 82% in pairwise F1.","PeriodicalId":131825,"journal":{"name":"2017 Intelligent Systems Conference (IntelliSys)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115853745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Comparison of semantic vectors with reduced precision using the cosine similarity measure 使用余弦相似度度量降低精度的语义向量的比较

2017 Intelligent Systems Conference (IntelliSys) Pub Date : 2017-09-01 DOI: 10.1109/INTELLISYS.2017.8324236

Michał Karwatowski, M. Wielgosz, M. Pietroń, Mateusz Staruchowicz, K. Wiatr

引用次数: 2

An expert system for evaluation of human mental resources: Holistic and developmental approach 人力智力资源评估的专家系统:整体发展性方法

2017 Intelligent Systems Conference (IntelliSys) Pub Date : 2017-09-01 DOI: 10.1109/INTELLISYS.2017.8324345

E. Volkova, V. Rusalov, M. N. Nilopets

{"title":"An expert system for evaluation of human mental resources: Holistic and developmental approach","authors":"E. Volkova, V. Rusalov, M. N. Nilopets","doi":"10.1109/INTELLISYS.2017.8324345","DOIUrl":"https://doi.org/10.1109/INTELLISYS.2017.8324345","url":null,"abstract":"The main disadvantage of expert systems for evaluation of human mental resources is that they measure mainly partial characteristics of individuality ignoring the holistic nature of a personality. Attempts to implement a comprehensive assessment of a person as a rule lead to the elaboration of time-consuming battery of tests. In this paper we investigated the possibilities of a Holistic and Developmental Expert System (HDES) for time-saving evaluation of human mental resources. The HDES is developed on the basis of INT-Test Design Software. As distinct from other expert systems, the proposed system allows to realize holistic (all the set of behavior characteristics) and developmental approach (from 15 to 70 years of age) to the assessment of human potential. Based on comparative analyses of existing expert systems as well as theoretical and statistical analyses, we selected only those indicators which enable us quickly and efficiently to measure human mental resources of different levels: from temperament to motivation. The given multi-purpose expert system assesses 43 selected indexes of individual behavior. The preliminary results show that all the scales possess a high level of reliability and validity.","PeriodicalId":131825,"journal":{"name":"2017 Intelligent Systems Conference (IntelliSys)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128745149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Cluster restarted DM: New algorithm for global optimisation 集群重启DM:新的全局优化算法

2017 Intelligent Systems Conference (IntelliSys) Pub Date : 2017-09-01 DOI: 10.1109/INTELLISYS.2017.8324271

M. Dlapa

引用次数: 2

Implementing a cross-curricular digital project into a PGCE computer science initial teacher education course 将一个跨课程的数位计画应用于大学教育文凭(PGCE)计算机科学初级教师教育课程

2017 Intelligent Systems Conference (IntelliSys) Pub Date : 2017-09-01 DOI: 10.1109/INTELLISYS.2017.8324213

Carlisle Wilkinson

引用次数: 2

The detection of security threat level by analyzing certain human emotions using neuro-fuzzy techniques 利用神经模糊技术通过分析人类的某些情绪来检测安全威胁等级

2017 Intelligent Systems Conference (IntelliSys) Pub Date : 2017-09-01 DOI: 10.1109/INTELLISYS.2017.8324270

AbedAlrahman Alshawatreya, M. Malkawi, A. Albashiti

引用次数: 0