scholarly journals Semisupervised Learning-Based Sensor Ontology Matching

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Hai Zhu ◽  
Jie Zhang ◽  
Xingsi Xue
Keyword(s):  
Large Scale ◽  
Similarity Measures ◽  
Semisupervised Learning ◽  
Ontology Matching ◽  
Semantic Relationship ◽  
The Social ◽  
Matching Technique ◽  
Data Heterogeneity ◽  
Training Examples ◽  
The Internet Of Things

Sensor ontology models the sensor information and knowledge in a machine-understandable way, which aims at addressing the data heterogeneity problem on the Internet of Things (IoT). However, the existing sensor ontologies are maintained independently for different requirements, which might define the same concept with different terms or context, yielding the heterogeneity issue. Since the complex semantic relationship between the sensor concepts and the large-scale entities is to be dealt with, finding the identical entity correspondences is an error-prone task. To effectively determine the sensor entity correspondences, this work proposes a semisupervised learning-based sensor ontology matching technique. First, we borrow the idea of “centrality” from the social network to construct the training examples; then, we present an evolutionary algorithm- (EA-) based metamatching technique to train the model of aggregating different similarity measures; finally, we use the trained model to match the rest entities. The experiment uses the benchmark as well as three real sensor ontologies to test our proposal’s performance. The experimental results show that our approach is able to determine high-quality sensor entity correspondences in all matching tasks.

scholarly journals Multiobjective Sensor Ontology Matching Technique with User Preference Metrics

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Hai Zhu ◽  
Xingsi Xue ◽  
Chengcai Jiang ◽  
He Ren
Keyword(s):  
Similarity Measures ◽  
User Preference ◽  
Ontology Matching ◽  
Ontology Alignment ◽  
Matching Problem ◽  
Nondominated Solutions ◽  
Network Applications ◽  
Data Heterogeneity ◽  
Ontology Alignment Evaluation Initiative ◽  
Selection Operator

Due to the problem of data heterogeneity in the semantic sensor networks, the communications among different sensor network applications are seriously hampered. Although sensor ontology is regarded as the state-of-the-art knowledge model for exchanging sensor information, there also exists the heterogeneity problem between different sensor ontologies. Ontology matching is an effective method to deal with the sensor ontology heterogeneity problem, whose kernel technique is the similarity measure. How to integrate different similarity measures to determine the alignment of high quality for the users with different preferences is a challenging problem. To face this challenge, in our work, a Multiobjective Evolutionary Algorithm (MOEA) is used in determining different nondominated solutions. In particular, the evaluating metric on sensor ontology alignment’s quality is proposed, which takes into consideration user’s preferences and do not need to use the Reference Alignment (RA) beforehand; an optimization model is constructed to define the sensor ontology matching problem formally, and a selection operator is presented, which can make MOEA uniformly improve the solution’s objectives. In the experiment, the benchmark from the Ontology Alignment Evaluation Initiative (OAEI) and the real ontologies of the sensor domain is used to test the performance of our approach, and the experimental results show the validity of our approach.

scholarly journals Optimizing Ontology Alignment through Linkage Learning on Entity Correspondences

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xingsi Xue ◽  
Chaofan Yang ◽  
Chao Jiang ◽  
Pei-Wei Tsai ◽  
Guojun Mao ◽  
...  
Keyword(s):  
Resource Sharing ◽  
Building Blocks ◽  
Ontology Matching ◽  
Ontology Alignment ◽  
Memory Consumption ◽  
Matching Technique ◽  
Data Heterogeneity ◽  
Ontology Alignment Evaluation Initiative ◽  
Linkage Learning ◽  
Matching Techniques

Data heterogeneity is the obstacle for the resource sharing on Semantic Web (SW), and ontology is regarded as a solution to this problem. However, since different ontologies are constructed and maintained independently, there also exists the heterogeneity problem between ontologies. Ontology matching is able to identify the semantic correspondences of entities in different ontologies, which is an effective method to address the ontology heterogeneity problem. Due to huge memory consumption and long runtime, the performance of the existing ontology matching techniques requires further improvement. In this work, an extended compact genetic algorithm-based ontology entity matching technique (ECGA-OEM) is proposed, which uses both the compact encoding mechanism and linkage learning approach to match the ontologies efficiently. Compact encoding mechanism does not need to store and maintain the whole population in the memory during the evolving process, and the utilization of linkage learning protects the chromosome’s building blocks, which is able to reduce the algorithm’s running time and ensure the alignment’s quality. In the experiment, ECGA-OEM is compared with the participants of ontology alignment evaluation initiative (OAEI) and the state-of-the-art ontology matching techniques, and the experimental results show that ECGA-OEM is both effective and efficient.

Commercial Potentials of NBIoT and Its Impact on the Economy

2021 ◽  
pp. 86-104
Author(s):  
Sasmita Mohanty
Keyword(s):  
Large Scale ◽  
Emergency Services ◽  
Smart Cities ◽  
Traffic Monitoring ◽  
Potential Game ◽  
Healthcare Applications ◽  
The Social ◽  
Social Landscapes ◽  
The Internet Of Things

The internet of things (IoT) has emerged as a potential game changer in the modern ICT landscape. Like several other technologies, it is going to disrupt the global markets to a large extent. The main potentials of IoT are its pervasive presence and multiple applications. For the large-scale deployment of the IoTs, a huge amount of resources are needed. In that case, a lighter or energy efficient version of the IoT is preferred for the large scale projects such as the smart cities and healthcare applications. In this regard, narrowband IoT (NBIoT) is preferred which is a resource efficient version of the modern IoTs. The pervasive uses of the IoTs are going to change the economy and the social landscapes to a large extent. IoT will be pervasive, and it will touch every aspect of the human lives. Due to its pervasiveness, the economy associated with it is going to be equally pervasive. In this chapter, the aim is to provide the commercial potentials of NBIoT and to analyze the changes it can bring to the economy. In the commercial potentials the author include the common applications where NBIoT is the main choice and can play a crucial role in the long term. Normally, these sectors are widely accessible to the general public such as the healthcare, traffic monitoring systems, smart cities, utilities management, retail management, industrial automation, and the emergency services.

Multiple-source Record Linkage in a Rural Industrial Community, 1680–1820

1994 ◽  
Vol 6 (3) ◽  
pp. 133-142 ◽  
Author(s):  
Steve King
Keyword(s):  
Early Modern ◽  
Large Scale ◽  
Social Economic ◽  
Life Cycles ◽  
Multiple Source ◽  
Demographic Analysis ◽  
Ordinary People ◽  
Industrial Community ◽  
The Social ◽  
Broad Outline

Re-creating the social, economic and demographic life-cycles of ordinary people is one way in which historians might engage with the complex continuities and changes which underlay the development of early modern communities. Little, however, has been written on the ways in which historians might deploy computers, rather than card indexes, to the task of identifying such life cycles from the jumble of the sources generated by local and national administration. This article suggests that multiple-source linkage is central to historical and demographic analysis, and reviews, in broad outline, some of the procedures adopted in a study which aims at large scale life cycle reconstruction.

Bologna, My Love: Il Cinema Ritrovato

2019 ◽  
Vol 73 (2) ◽  
pp. 72-79
Author(s):  
Carla Marcantonio
Keyword(s):  
Social Justice ◽  
Fairy Tale ◽  
Large Scale ◽  
Francis Ford Coppola ◽  
The Social ◽  
Ongoing Project

FQ books editor Carla Marcantonio guides readers through the 33rd edition of Il Cinema Ritrovato Festival held each year in Bologna at the end of June. Highlights of this year's festival included a restoration of one of Vittorio De Sica's hard-to-find and hence lesser-known films, the social justice fairy tale, Miracolo a Milano (Miracle in Milan, 1951). The film was presented by De Sica's daughter, Emi De Sica, and was an example of the ongoing project to restore De Sica's archive, which was given to the Cineteca de Bologna in 2016. Marcantonio also notes her unexpected responses to certain reviewings; Apocalypse Now: Final Cut (2019), presented by Francis Ford Coppola on the large-scale screen of Piazza Maggiore and accompanied by remastered Dolby Atmos sound, struck her as a tour-de-force while a restoration of David Lynch's Blue Velvet (1986) had lost some of its strange allure.

KETERTINDASAN MELAYU DALAM CERPEN “SUKU POMPONG” KARYA FEDLI AZIS DAN CERPEN “RUMAH DI UJUNG KAMPUNG” KARYA HANG KAFRAWI

2017 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Marlina Marlina
Keyword(s):  
Short Stories ◽  
Large Scale ◽  
Social Aspects ◽  
Land Conversion ◽  
The Public ◽  
Historical Reality ◽  
Sociological Approach ◽  
The Social ◽  
Imaginative Literature ◽  
The Village

Reading short stories “Suku Pompong” (Pompong Tribe) and “Rumah di Ujung Kampung” (House at the End of the Village) is like reading a historical reality that is happening on the ground of Riau Malay. The exploitation of forest resources on a large scale in recent decades in Riau Province has changed the land use of the area of intact forest into plantation area. The exploitation process causes friction in the community. The friction is eventually lead to conflict between communities and plantation companies. Their struggle to resolve conflicts and maintain their ancestral land, the strength of the company that has the license to the land and sadness when the public finally has always been on the losing side. This study objected to describe the objective reality of the Malay community in terms of land conversion, the communal land into plantations and reality of imaginative literature contained in the short stories “Suku Pompong” dan “Rumah di Ujung Kampung”. This study applied the sociology of literature approach, while the sociological approach to literature is a literary approach that specializes in reviewing literature by considering the social aspects. Based on these approaches, it can be concluded that short stories Suku Pompong and Rumah di Ujung Jalan are short stories that raised the reality of the Malay community.AbstrakMembaca cerpen “Suku Pompong” dan cerpen “Rumah di Ujung Kampung” seperti membaca sebuah realita sejarah yang terjadi di tanah Melayu Riau. Ekploitasi sumber daya hutan secara besar-besaran pada beberapa dekade terakhir di Provinsi Riau telah mengubah tata guna lahan dari kawasan hutan yang utuh menjadi kawasan perkebunan. Proses eksploitasi tersebut menimbulkan gesekan-gesekan dalam masyarakat. Gesekan-gesekan inilah yang akhirnya menimbulkan konflik antara masyarakat dengan pihak perusahaan perkebunan. Perjuangan masyarakat dalam menyelesaikan konflik dan mempertahankan tanah leluhur mereka, kekuatan pihak perusahaan yang memiliki surat izin atas tanah tersebut, dan kesedihan ketika masyarakat akhirnya selalu berada di pihak yang kalah. Penelitian ini bertujuan untuk mendeskripsikan realitas objektif masyarakat Melayu Riau dalam hal alih fungsi lahan, dari lahan tanah ulayat menjadi lahan perkebunan, dan realititas imajinatif sastra yang terdapat dalam cerpen “Suku Pompong” dan cerpen “Rumah di Ujung Kampung”. Penelitian ini menggunakan pendekatan sosiologi sastra, yaitu suatu pendekatan sastra yang mengkhususkan diri dalam menelaah karya sastra dengan mempertimbangkan segi-segi sosial kemasyarakatan. Dari pendekatan tersebut dapat diambil kesimpulan bahwa cerpen “Suku Pompong” dan cerpen “Rumah di Ujung Kampung” memang merupakan cerpen yang mengangkat realitas masyarakat Melayu Riau.

Management Decisions in the Russian Military Education System: Socio-Humanitarian aspect (second half of the XIX – early XX centuries)

2020 ◽  
Author(s):  
С.Д. Половецкий
Keyword(s):  
Positive Result ◽  
Large Scale ◽  
Military Education ◽  
Educational Institutions ◽  
Management Decisions ◽  
Historical Experience ◽  
Military Reform ◽  
The Social ◽  
Russian Military ◽  
Xix Century

в статье обосновывается объективная необходимость изменения системы управления военным образованием в рамках проведения военной реформы второй половины XIX века. Проводимые мероприятия опирались на достижения русской педагогической мысли и военной педагогики. Комплекс управленческих решений был теоретически обоснованным, проводился последовательно и поступательно, до достижения необходимого положительного результата. Решить масштабные и сложные задачи оптимизации процесса военного образования было бы невозможно без усиления внимания к социально-гуманитарным дисциплинам, преподаваемых в военно-учебных заведениях. Накопленный исторический опыт реализации принятых управленческих решений актуален и востребован в настоящее время. the article substantiates the objective need to change the management system of military education in the framework of military reform in the second half of the XIX century. The events were based on the achievements of Russian pedagogical thought and military pedagogy. It is emphasized that the complex of management decisions was theoretically justified, carried out consistently and progressively, until the necessary positive result was achieved. It would be impossible to solve these large–scale and complex tasks of optimizing the process of military education without increasing attention to the social and humanitarian disciplines taught in military educational institutions. The accumulated historical experience of implementing management decisions is relevant and may be in demand at the present time.

Approaches to Supporting Local and Community Development

2018 ◽  
Author(s):  
Liesel Mack Filgueiras ◽  
Andreia Rabetim ◽  
Isabel Aché Pillar
Keyword(s):  
Large Scale ◽  
Mining Company ◽  
The Sustainable Development ◽  
Social Partnership ◽  
The Public ◽  
Mining Investment ◽  
The Social ◽  
Corporate Social

Reflection about the role of community engagement and corporate social investment in Brazil, associated with the presence of a large economic enterprise, is the major stimulus of this chapter. It seeks to present how cross-sector governance can contribute to the social development of a city and how this process can be led by a partnership comprising a corporate foundation, government, and civil society. The concept of the public–private social partnership (PPSP) is explored: a strategy for building a series of inter-sectoral alliances aimed at promoting the sustainable development of territories where the company has large-scale enterprises, through joint efforts towards integrated long-term strategic planning, around a common agenda. To this end, the case of Canaã dos Carajás is introduced, a municipality in the State of Pará, in the Amazon region, where large-scale mining investment is being carried out by the mining company Vale SA.

scholarly journals Content-Based Estimation of Brain MRI Tilt in Three Orthogonal Directions

2021 ◽  
Author(s):  
Pooja Prabhu ◽  
A. K. Karunakar ◽  
Sanjib Sinha ◽  
N. Mariyappa ◽  
G. K. Bhargava ◽  
...  
Keyword(s):  
Large Scale ◽  
Brain Mri ◽  
Similarity Measures ◽  
Principal Component ◽  
Brain Anatomy ◽  
Morphological Operations ◽  
Mr Images ◽  
Tilt Correction ◽  
Brain Mr Images ◽  
The Brain

AbstractIn a general scenario, the brain images acquired from magnetic resonance imaging (MRI) may experience tilt, distorting brain MR images. The tilt experienced by the brain MR images may result in misalignment during image registration for medical applications. Manually correcting (or estimating) the tilt on a large scale is time-consuming, expensive, and needs brain anatomy expertise. Thus, there is a need for an automatic way of performing tilt correction in three orthogonal directions (X, Y, Z). The proposed work aims to correct the tilt automatically by measuring the pitch angle, yaw angle, and roll angle in X-axis, Z-axis, and Y-axis, respectively. For correction of the tilt around the Z-axis (pointing to the superior direction), image processing techniques, principal component analysis, and similarity measures are used. Also, for correction of the tilt around the X-axis (pointing to the right direction), morphological operations, and tilt correction around the Y-axis (pointing to the anterior direction), orthogonal regression is used. The proposed approach was applied to adjust the tilt observed in the T1- and T2-weighted MR images. The simulation study with the proposed algorithm yielded an error of 0.40 ± 0.09°, and it outperformed the other existing studies. The tilt angle (in degrees) obtained is ranged from 6.2 ± 3.94, 2.35 ± 2.61, and 5 ± 4.36 in X-, Z-, and Y-directions, respectively, by using the proposed algorithm. The proposed work corrects the tilt more accurately and robustly when compared with existing studies.

scholarly journals Social Collective Attack Model and Procedures for Large-Scale Cyber-Physical Systems

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 991
Author(s):  
Peidong Zhu ◽  
Peng Xun ◽  
Yifan Hu ◽  
Yinqiao Xiong
Keyword(s):  
Smart Grid ◽  
Collective Behavior ◽  
Physical System ◽  
Large Scale ◽  
Public Utility ◽  
Modeling Framework ◽  
Vast Number ◽  
Attack Model ◽  
The Social ◽  
Social Collective

A large-scale Cyber-Physical System (CPS) such as a smart grid usually provides service to a vast number of users as a public utility. Security is one of the most vital aspects in such critical infrastructures. The existing CPS security usually considers the attack from the information domain to the physical domain, such as injecting false data to damage sensing. Social Collective Attack on CPS (SCAC) is proposed as a new kind of attack that intrudes into the social domain and manipulates the collective behavior of social users to disrupt the physical subsystem. To provide a systematic description framework for such threats, we extend MITRE ATT&CK, the most used cyber adversary behavior modeling framework, to cover social, cyber, and physical domains. We discuss how the disinformation may be constructed and eventually leads to physical system malfunction through the social-cyber-physical interfaces, and we analyze how the adversaries launch disinformation attacks to better manipulate collective behavior. Finally, simulation analysis of SCAC in a smart grid is provided to demonstrate the possibility of such an attack.

Sign in / Sign up

Export Citation Format

Share Document