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3rd International Conference on Advancements in Computing, ICAC 2021

作者： Yapa, K. Udara, S.W.I. Wijayawardane, U.P.B. Kularatne, K.N.P. Navaratne, N.M.P.P. Dharmaphriya, W. G. V. U Sri Lanka Institute of Information Technology Dept. of Computer System Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Dept. of Computer Science and Software Engineering Malabe Sri Lanka

ISBN: (纸本)9781665408622

Social media is one of the most predominantly used online platforms by individuals across the world. However, very few of these social media users are educated about the adverse effects of obliviously using social media. Therefore, this research project, is to develop an advisory system for the benefit of the general public who are victimized by the adverse impacts of their ignorant and oblivious behavior on social media. The system was implemented using a decision tree model with the use of customized datasets;and for the proceeding operational implementations, Python programming language, Pandas, Natural Language Processing and TensorFlow were used. This advisory system can monitor user behaviors and generate customized awareness reports for the users based on category and level of their behaviors on social media. Furthermore, the system is also capable of generating graph reports of the use behavior fluctuations for the reference of the user. With the help of these customized awareness reports and the graph reports, the users can identify their potential vulnerabilities and improve their social media habits. © 2021 IEEE.

关键词： Social networking (online)

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Construct Protein-Protein Interaction Network by Mining Domain-Domain Interactions

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Journal of Harbin institute of technology(New Series) 2016年第4期23卷 27-36页

作者： Zhixia Teng Maozu Guo Xiaoyan Liu Jin Li Qiguo Dai Chunyu Wang Department of Computer Science and Engineering Harbin Institute of TechnologyHarbin 150001China Department of Information Management and Information System Northeast Forestry UniversityHarbin 150040China

Domain-domain interactions are important clues to inferring protein-protein interactions. Although about 8 000 domain-domain interactions are discovered so far,they are just the tip of the iceberg. Because domains are conservative and commonplace in proteins,domain-domain interactions are discovered based on pairs of domains which significantly co-exist in proteins. Meanwhile,it is realized that:( 1) domain-domain interactions may exist within the same proteins or across different proteins;( 2) only the domain-domain interactions across different proteins can mediate interactions between proteins;( 3) domains have biases to interact with other domains. And then,a novel method is put forward to construct protein-protein interaction network by using domain-domain interactions. The method is validated by experiments and compared with the state- of-art methods in the field. The experimental results suggest that the method is reasonable and effectiveness on constructing Protein-protein interactions network.

关键词： protein-protein interaction domain-domain interaction statistical significance test

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ROS Supported Heterogeneous Multiple Robots Registration and Communication with User Instructions 2

ROS Supported Heterogeneous Multiple Robots Registration and...

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2nd International Conference on Advanced Research in Computing, ICARC 2022

作者： Rajapaksha, U.U. Samantha Jayawardena, Chandimal MacDonald, Bruce A. Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Computer System and Engineering Malabe Sri Lanka University of Auckland Department of Electrical Computer and Software Engineering Auckland New Zealand

ISBN: (纸本)9781665407410

Different types of heterogeneous multiple service robots are working in the same environment to help humans in many ways in a smart house. These service robots have different capabilities based on the different control and communication systems. The complexity of the programming of the robots is now reduced by using middleware like Robot Operating system (ROS). However, the communication and control of the heterogeneous service robots using very high-level instruction is still tricky because of differences in ROS topics. If a user has issued a high-level instruction to all multiple heterogeneous robots in the same environment, then all robots must complete the given task without considering the software differences in each robot. This research has developed a web-based interface where users can input high-level instruction to all multiple heterogeneous robots running in the same environment. We have used three levels of instructions. Level 01 moves robot forward for the given speed for some distance without obstacles. Level 02 is to move the robot to a specific location without obstacles. Level 03 is to navigate the robot to a goal with some obstacles in the environment. Initially, all robots need to register their software specifications and hardware specification Format (URDF) in the robot registration engine with the help of the ontology. Then all service robots act according to the instruction given by the interpreter. The proposed system was evaluated using a simulated environment with a gazebo using "Turtlebot"and "Tiago"robots. Time complexity analysis of all algorithms was completed using the Big O notation. © 2022 IEEE.

关键词： Ontology

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Constructions and application of network learning platform 1

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2011 International Conference on Electronic engineering, Communication and Management, EECM 2011

作者： Liao, Wenjun Gao, Guohong Wang, Ying Guo, Mingli Jiang, Tong Institute of Computer and Information Engineering Xinxiang University Xinxiang 453003 China School of Information Engineer Henan Institute of Science and Technology Xinxiang 453003 China Xinke College Henan Institute of Science and Technology Xinxiang 453003 China

ISBN: (数字)9783642272967

ISBN: (纸本)9783642272950

The research study is a kind of learning way with self-learning, problem-centered approach to learning research. Network environment based on J2EE platform research considers study learning theory as basis. It makes use of advanced technology and J2EE platform, JSP and JavaBean technology to build the system and takes advantage of SQL database to have management background, which has the advantage of advanced, security, manageability and maintainability in the development. After testing, learning platform meets the application requirements. © 2012 Springer-Verlag.

关键词： engineering education

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ROS Based Multiple Service Robots Control and Communication with High Level User Instruction with Ontology 10

ROS Based Multiple Service Robots Control and Communication ...

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10th International Conference on information and Automation for Sustainability, ICIAfS 2021

作者： Samantha Rajapaksha, U.U. Jayawardena, Chandimal MacDonald, Bruce A. Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Computer System and Engineering Malabe Sri Lanka The University of Auckland Department of Electrical Computer and Software Engineering Auckland New Zealand

ISBN: (纸本)9781665444293

Human Robot Interaction (HRI) is one of the biggest research field in the Robotics research world. Understanding the semantic meaning of the user instruction is very important to establish the communication between user and robot. When a user instructs to all heterogeneous service Robots with high level instructions who are working at different locations in smart house, all robots need to operate by understanding the semantic of the instruction and complete the task uniformly without considering underline software and hardware implementations. Ontology is used to extract the semantic meaning of the instructions. Each robot is assigned a specific task for specific time period for each day. User can issue commands to all robots at different time slots but the same command can be issued with different sentence by different users. We have used ontology to represents the semantic of the sentence with different commands. We have used three robots (TurtleBot, TiaGo and Husky) for our experiment in Gazebo simulator. Robot Operating system (ROS) is the middleware which is hiding more complex implementation of different functions for different robots and provide the interoperability for heterogeneous robot operations. The ROS nodes and topics can be different for different robots, therefore our implementation can solve this issue by autonomous robot registration algorithm which is working with Robot ontology. © 2021 IEEE.

关键词： Ontology

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SVM and Logistic Regression for Facial Palsy Detection Utilizing Facial Landmark Features 2022

SVM and Logistic Regression for Facial Palsy Detection Utili...

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14th International Conference on Contemporary Computing, IC3 2022

作者： Arora, Anuja Sinha, Anubhav Bhansali, Kaushal Goel, Rachit Sharma, Isha Jayal, Ambikesh Department of Cse and It Jaypee Institute of Information Technology Noida India Senior Testing Engineer Save the Children International London United Kingdom School of Information System and Technology University of Canberra Australia Canberra Australia

ISBN: (纸本)9781450396752

Facial Palsy is a problem related to temporary or permanent damage of facial nerve. Conventional technique for facial paralysis is physical detection and manual measurement for reconstruction of facial features in order to provide perfect balance of patient's face. These Conventional techniques need to be strengthen using computational process. The present research work is carried out in this same direction. Facial palsy data collection and in continuation landmark coordination generation are challenging task. Landmark coordination is an input for learning model. Two machine learning models - Support Vector Machine and Logistic Regression are applied and these machine learning models will train the system using generated facial landmark features. The two important tasks for handling the facial palsy detection using machine learning are Landmark feature generation and effective machine learning model training. The outcome for facial palsy detection using support vector machine is better than logistic regression. The average accuracy achieved by support vector machine is 76.87% © 2022 ACM.

关键词： Logistic regression

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Cooperative Caching Strategy Based on Two-Layer Caching Model for Remote Sensing Satellite Networks

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computers, Materials & Continua 2023年第5期75卷 3903-3922页

作者： Rui Xu Xiaoqiang Di Hao Luo Hui Qi Xiongwen He Wenping Lei School of Computer Science and Technology Changchun University of Science and TechnologyChangchun130022China School of Information Engineering Henan Institute of Science and TechnologyXinxiang453003China Jilin Province Key Laboratory of Network and Information Security Changchun University of Science and TechnologyChangchun130022China Information Center Changchun University of Science and TechnologyChangchun130022China Beijing Institute of Spacecraft System Engineering Beijing100094China Beijing Institute of Space Mechanic and Electricity Beijing100094China

In information Centric Networking(ICN)where content is the object of exchange,in-network caching is a unique functional feature with the ability to handle data storage and distribution in remote sensing satellite *** up cache space at any node enables users to access data nearby,thus relieving the processing pressure on the ***,the existing caching strategies still suffer from the lack of global planning of cache contents and low utilization of cache resources due to the lack of fine-grained division of cache *** address the issues mentioned,a cooperative caching strategy(CSTL)for remote sensing satellite networks based on a two-layer caching model is *** two-layer caching model is constructed by setting up separate cache spaces in the satellite network and the ground *** caching of popular contents in the region at the ground station to reduce the access delay of users.A content classification method based on hierarchical division is proposed in the satellite network,and differential probabilistic caching is employed for different levels of *** cached content is also dynamically adjusted by analyzing the subsequent changes in the popularity of the cached *** the two-layer caching model,ground stations and satellite networks collaboratively cache to achieve global planning of cache contents,rationalize the utilization of cache resources,and reduce the propagation delay of remote sensing *** results show that the CSTL strategy not only has a high cache hit ratio compared with other caching strategies but also effectively reduces user request delay and server load,which satisfies the timeliness requirement of remote sensing data transmission.

关键词： information centric networking caching strategy two-layer caching model hierarchical division

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Heuristic Search with Cut Point Based Strategy for Critical Node Problem

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Journal of computer Science & technology 2024年第6期39卷 1328-1340页

作者： Zhi-Han Chen Shao-Wei Cai Jian Gao Shi-Ke Ge Chan-Juan Liu Jin-Kun Lin School of Computer Science and Technology University of Chinese Academy of SciencesBeijing 101408China Key Laboratory of System Software(Chinese Academy of Sciences)and State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of SciencesBeijing 100190China College of Information Science and Technology Northeast Normal UniversityChangchun 130024China School of Computer Science and Technology Dalian University of TechnologyDalian 116024China SeedMath Technology Limited Beijing 100086China

The critical node problem(CNP)aims to deal with critical node identification in a graph,which has extensive applications in many *** CNP is a challenging task due to its computational complexity,and it attracts much attention from both academia and *** this paper,we propose a population-based heuristic search algorithm called CPHS(Cut Point Based Heuristic Search)to solve CNP,which integrates two main *** first one is a cut point based greedy strategy in the local search,and the second one involves the functions used to update the solution pool of the ***,a mutation strategy is applied to solutions with probability based on the overall average similarity to maintain the diversity of the solution *** are performed on a synthetic benchmark,a real-world benchmark,and a large-scale network benchmark to evaluate our *** with state-of-the-art algorithms,our algorithm has better performance in terms of both solution quality and run time on all the three benchmarks.

关键词： local search cut point heuristic search critical node problem

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Brain Tumor:Hybrid Feature Extraction Based on UNet and 3DCNN

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computer systems Science & engineering 2023年第5期45卷 2093-2109页

作者： Sureshkumar Rajagopal Tamilvizhi Thanarajan Youseef Alotaibi Saleh Alghamdi Center for System Design Chennai Institute of TechnologyChennai600069India Department of Information Technology Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062India Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Automated segmentation of brain tumors using Magnetic Resonance Imaging(MRI)data is critical in the analysis and monitoring of disease *** a result,gliomas are aggressive and diverse tumors that may be split into intra-tumoral groups by using effective and accurate segmentation *** is intended to extract characteristics from an image using the Gray Level Co-occurrence(GLC)matrix feature extraction method described in the proposed *** Convolutional Neural Networks(CNNs),which are commonly used in biomedical image segmentation,CNNs have significantly improved the precision of the state-of-the-art segmentation of a brain *** two segmentation networks,a U-Net and a 3D CNN,we present a major yet easy combinative technique that results in improved and more precise *** U-Net and 3D CNN are used together in this study to get better and more accurate estimates of what is going *** the dataset,two models were developed and assessed to provide segmentation maps that differed fundamentally in terms of the segmented tumour ***,the estimates was made by two separate models that were put together to produce the final *** comparison to current state-of-the-art designs,the precision(percentage)was 98.35,98.5,and 99.4 on the validation set for tumor core,enhanced tumor,and whole tumor,respectively.

关键词： Medical imaging segmentation U-net 3D CNN brain tumor

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Content-based image retrieval using salient points

Content-based image retrieval using salient points

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2010 IEEE International Conference on Intelligent Computing and Intelligent systems, ICIS 2010

作者： Shan, Zhao Wang, Shui Gao, Guo Hong School of Computer Science and Technology Henan Polytechnic University Jiao zuo China School of Information Engineer Henan Institute of Science Technology Xin xiang China

ISBN: (纸本)9781424465835

Salient point is an important point feature in the content-based image retrieval. A novel image retrieval based on salient point is proposed in this paper. Firstly, an improved algorithm is presented based on SP ARSE(Salient Points Auto-Reduction using Segmentation), which using dynamic threshold segmentation algorithm in the between-class variance and within-class variance of the image segmentation. And then three color features and three texture features are adopted by image retrieval. Experimental results show that the improved method has better performance. ©2010 IEEE.

关键词： Image segmentation

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