检索结果-内蒙古大学图书馆

2015 International Conference on Soft Computing Techniques and Implementations, ICSCTI 2015

作者： Seyedan, Seyedeh Mahya Adli, Navid Nazari Omid Mahdi Ebadati, E. Department of Knowledge Engineering and Decision Sciences Kharazmi University Tehran Iran Department of Mathematics and Computer Science Kharazmi University Tehran Iran

ISBN: (纸本)9781467367929

Forecasting demand plays a major role in manufacturing and a great big influence in modern countries. A good forecast can save the cost, lack of demand and expenses of surplus. Existing of oil in the production chain in various manufactures shows its importance. Main Object of this paper is to forecast Iran oil consumption forecasting, by using Support Vector Regression algorithm, which is measured to determine the amount of its extraction to be sell based on market's demands. Predicting the amount of oil extraction is correlated with some other important deliberations in that country. For such diversity, the utilized algorithm employs a neural network to estimate a function between social and economic inputs and oil consumption as output. GDP, population, import and export are the inputs and the vital considered parameters of this study. The required data regarding to the oil production and extraction is taken from OPEC bulletin. To accurately reach to our main aim, we used the data from 1987 to 2011, which the available data from 1987 to 2006 is used to train the algorithm and data from 2007 to 2011 for tests the capability. The results show the algorithm has 0.0005 errors for the last five years and the SVR algorithm can be more accurate than other development approaches in oil consumption forecasting and shows the aim significance. © 2015 IEEE.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Discrepancies between reality and expectation: Can Adaptive Hypermedia meet the expectations of teachers?

Discrepancies between reality and expectation: Can Adaptive ...

引用

IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005

作者： Monthienvichienchai, Rachada Conlan, Owen Seyedarabi, Faezeh London Knowledge Lab. Institute of Education University of London United Kingdom Knowledge and Data Engineering Group Department of Computer Science Trinity College Dublin Ireland

ISBN: (纸本)9781627483308

The effort to personalise eLearning has led to the development of sophisticated Adaptive Hypermedia (AH) systems that can adapt to many aspects of the learner's characteristics or explicit preferences. However, while many of these adaptations are grounded in sound pedagogical theories, it is unclear how effective such adaptations are in supporting everyday teaching and learning processes that take place in the classroom today. This paper presents a study that explores what teachers in the UK, who have been named by their colleagues as implementing best-practice in the classroom, expect from an eLearning platform that can adapt to the individual needs of their students. The result of the study shows that there are currently some discrepancies between the teachers' expectations and what adaptive hypermedia currently offers. The paper then concludes by describing how these discrepancies can be addressed in future AH systems.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Can museum exhibits support personalised learning in collaborative classroom activities by using augmented reality?

Can museum exhibits support personalised learning in collabo...

引用

IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2005

ISBN: (纸本)9781627483308

This paper proposes a novel approach in integrating seemingly contradictory approaches of teaching and learning via collaborative and personalised learning activities by using augmented reality museum exhibits. The paper highlights the benefits that computer supported collaborative learning and computer supported personalised learning bring or promise to bring to the learner. A proposal is given for a study that will setup a common ground for these two approaches via a location-aware augmented reality museum display. The principal aim of the study is to investigate how the process of learning collaboratively is intertwined with personalised experience of visiting the museum display. Ultimately, the result of the study will provide a new understanding of visitor's experience of museum displays, not only within the context of the museum's location, but also within the classroom where the visit truly begins and finishes.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

Meta-path-based outlier detection in heterogeneous information network

引用

Frontiers of computer science 2020年第2期14卷 388-403页

作者： Lu LIU Shang WANG Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Changchun 130012China College of Software Jilin UniversityChangchun 130012China College of Computer Science and Technology Jilin UniversityChangchun 130012China College of Communication Engineering Jilin UniversityChangchun 130012China Department of Computer Science New Jersey Institute of TechnologyUniversity HeightsNewark NJ 07102USA

Mining outliers in heterogeneous networks is crucial to many applications,but challenges *** this paper,we focus on identifying meta-path-based outliers in heterogeneous information network(HIN),and calculate the similarity between different types of *** propose a meta-path-based outlier detection method(MPOutliers)in heterogeneous information network to deal with problems in one go under a unified *** calculates the heterogeneous reachable probability by combining different types of objects and their *** discovers the semantic information among nodes in heterogeneous networks,instead of only considering the network *** also computes the closeness degree between nodes with the same type,which extends the whole heterogeneous ***,each node is assigned with a reliable weighting to measure its authority *** experiments on two real datasets(AMiner and Movies dataset)show that our proposed method is very effective and efficient for outlier detection.

关键词： data mining heterogeneous information network outlier detection short text similarity

来源：评论

学校读者我要写书评

暂无评论

Osteoporotic Vertebral Fracture Classification in X-rays Based on a Multi-modal Semantic Consistency Network

引用

Journal of Bionic engineering 2022年第6期19卷 1816-1829页

作者： Yuzhao Wang Tian Bai Tong Li Lan Huang College of Computer Science and Technology Jilin UniversityChangchun130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun130012China Department of Orthopedics The Second Hospital of Jilin UniversityChangchun130012China

Osteoporotic Vertebral Fracture(OVFs)is a common lumbar spine disorder that severely affects the health of *** a clear bone blocks boundary,CT images have gained obvious advantages in OVFs *** with CT images,X-rays are faster and more inexpensive but often leads to misdiagnosis and miss-diagnosis because of the overlapping *** how to transfer CT imaging advantages to achieve OVFs classification in X-rays is *** this purpose,we propose a multi-modal semantic consistency network which could do well X-ray OVFs classification by transferring CT semantic consistency *** from existing methods,we introduce a feature-level mix-up module to get the domain soft labels which helps the network reduce the domain offsets between CT and *** the meanwhile,the network uses a self-rotation pretext task on both CT and X-ray domains to enhance learning the high-level semantic invariant *** employ five evaluation metrics to compare the proposed method with the state-of-the-art *** final results show that our method improves the best value of AUC from 86.32 to 92.16%.The results indicate that multi-modal semantic consistency method could use CT imaging features to improve osteoporotic vertebral fracture classification in X-rays effectively.

关键词： Osteoporotic vertebral fracture classification Cross-modality Unsupervised domain adaptation Transfer learning Convolutional neural network computer-aided diagnosis

来源：评论

学校读者我要写书评

暂无评论

Key frame extraction based on shot coverage and distortion

Key frame extraction based on shot coverage and distortion

引用

6th Pacific Rim Conference on Multimedia - Advances in Mulitmedia Information Processing - PCM 2005

作者： Park, Ki Tae Lee, Joong Yong Rim, Kee Wook Moon, Young Shik Department of Computer Science and Engineering Hanyang University Ansan Korea Republic of Department of Knowledge and Industrial Engineering Sun Moon University Chung-Nam Korea Republic of

ISBN: (纸本)3540300406

Key frame extraction has been recognized as one of the important research issues in video information retrieval. Until now, in spite of a lot of research efforts on the key frame extraction for video sequences, existing approaches cannot quantitatively evaluate the importance of extracted frames in representing the video contents. In this paper, we propose a new algorithm for key frame extraction using shot coverage and distortion. The algorithm finds significant key frames from candidate key frames. When selecting the candidate frames, the coverage rate for each frame to the whole frames in a shot is computed by using the difference between adjacent frames. The frames with the coverage rate within 10% from the top are regarded as the candidates. Then, by computing the distortion rate of a candidate against all frames, the most representative frame is selected as a key frame in the shot. The performance of the proposed algorithm has been verified by a statistical test. Experimental results show that the proposed algorithm improves the performance by 13-50% over the existing methods. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Investigation of LSSVM and RBFNN-based Techniques for Intrusion Detection Systems for IoT Networks

Investigation of LSSVM and RBFNN-based Techniques for Intrus...

引用

2023 International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023

作者： Jayapal, Medida Subhashree, K. Ashwini, B. Satheesh Kumar, D. Dimri, Sushil Chandra Nishant, Neerav Department of Cse Telangana Hyderabad India Karp Agam College of Engineering Department of Computer Science and Engineering Coimbatore India Knowledge Institute of Technology Department of Cse Tamilnadu Salem India Hindusthan College of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India School of Engineering Babu Banarasi das University Department of Computer Science and Engineering Uttar Pradesh Lucknow India

ISBN: (纸本)9798350300857

As more and more devices become internet-enabled, it's no longer possible to imagine modern life without them. In particular, Internet of Things (IoT) devices have become widespread and indispensable. But there are issues that appear to be worsening and for which there are currently no good solutions. The safety of Internet of Things (IoT) devices and other connected gadgets is a growing concern. There has been a lot of development in the area of safeguarding IoT networks, but there is always room for improvement. The proposed methodology consists of three stages: preprocessing the data, selecting the features to use, and training the model. In data preprocessing, normalization and standardization techniques are utilized. The use of particle swarm optimization helps improve feature selection. Models are trained with SVM-RBFNN after information gain is used to choose relevant features. The proposed method achieves better results than both SVM and LSSVM, two widely usedalternatives. © 2023 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Analysis Method for Probabilistic Verification for Smart IoT Systems with Process Algebra 5

Analysis Method for Probabilistic Verification for Smart IoT...

引用

5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021

作者： Lee, Sunghyeon Song, Junsup Karagiannis, Dimitri Lee, Moonkun Department of Computer Science and Engineering Jeonbuk National University Jeonju Korea Republic of Research Group Knowledge Engineering University of Vienna Vienna Austria

ISBN: (纸本)9781665445115

Process algebra is one of the most suitable formal methods to model Smart IoT Systems to specify their probabilistic behavior, since process algebra may include probability property for choice operation as shown in PAROMA and PACSR, which, however, do not have enough analytic methods to control the degree of nondeterminism for the operation. In order to overcome the limitation, the paper presents a new formal method, called dTP-Calculus, and an analytic method to control the nondeterminism in order to satisfy safety and security requirements of the IoT systems. To prove the concept of the approach in the paper, the SAVE tool suite has been developed on the ADOxx and is used to demonstrate its applicability with a Smart EMS (Emergence Medical Service) Example. © 2021 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Smart water quality analysis using IoT and big data analytics: A review 2

Smart water quality analysis using IoT and big data analytic...

引用

2nd IEEE International Conference on Electronic engineering, ICEEM 2021

作者： Hemdan, Ezz El-Din Essa, Youssef M. El-Sayed, Ayman Shouman, Marwa Moustafa, Abdullah N. Menofia University Computer Science and Engineering Department Faculty of Electronic Engineering Menouf Egypt Principle Data and Knowledge. Bayer Berlin Germany

ISBN: (纸本)9781665418423

In recent times, water quality monitoring, observing, and testing have become a significant research study with the advancement on the Internet of Things, and Big Data analytics research ideas. The relationship between water demand and supply is very crucial for every country and is likewise a complex challenge to satisfy this requirement around the world. Water is compulsory for human survival being on the earth. Therefore, for survival, the preservation and taking care of the existing water resource are also equally substantial. Moreover, for a healthier society, access to clean and safe water resources is also imperative. To recognize the water quality effects and provide an automated water quality mentoring and a testing system can support in guaranteeing the safety of the water. This paper presents a study on water quality analysis using IoT and Big Data analytics. This can help in developing an agile environment that can handle the massive flow of water big data generated by the smart sensors spread everywhere around us. © 2021 IEEE.

关键词： Data Analytics

来源：评论

学校读者我要写书评

暂无评论

Diagnosis of breast cancer by tissue analysis

引用

Chinese Journal of Cancer Research 2013年第1期25卷 39-45页

作者： Debnath Bhattacharyya Samir Kumar Bandyopadhyay Tai-hoon Kim Computer Science and Engineering Department NFET NSHM Knowledge Campus-Durgapur Department of Computer Science and Engineering University of Calcutta School of Computing and Information Systems University of Tasmania Australia

In this paper, we propose a technique to locate abnormal growth of cells in breast tissue and suggest further pathological test, when require. We compare normal breast tissue with malignant invasive breast tissue by a series of image processing steps. Normal ductal epithelial cells and ductal/lobular invasive carcinogenic cells also consider for comparison here in this paper. In fact, features of cancerous breast tissue （invasive） are extracted and analyses with normal breast tissue. We also suggest the breast cancer recognition technique through image processing and prevention by controlling p53 gene mutation to some extent.

关键词： Mammography drug administration edge detection epithelium

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：