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International Conference on Logistics and Operations Management (GOL)

作者： Fidae Harchli ES-Safi Abdelatif Ettaouil Mohamed Scientific Computing and Computer Sciences faculty of sciences and techniques FES MOROCCO

Clustering methods are one of the most important tools used in different areas by researchers. The self-organizing map network is one of the most popular neural networks which was designed for solving problems that involve tasks such as clustering, visualization, and abstraction. Specially, It provides a new strategy of clustering using a competition and co-operation principal. However, the optimal number of neurons and their initial weight vectors in the map is still a big problem in the literature. These parameters have a great impact on the learning process of the network. In this paper we extend the original Kohonen network. First, the task consists of generating a heuristic method before the learning phase of the network. The main goal of this method is looking for the initial parameters of the map. That is, finding centroids of the most homogenous areas of data set. Second, the learning phase of Kohonen is run and the evaluation of the obtained clustering by the map. The two phases are repeated until a number of iteration is satisfied. We compare the result of the proposed method with that of the original Kohonen network. We further experiment the applicability and the performance of the method on various data sets of various dimensions known in the literature. The result shows that the proposed method is able to produce better clustering results than the traditional topological map.

关键词： Laboratories Computational modeling Visualization Neurons Image color analysis Accuracy Training

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Gclust:A Parallel Clustering Tool for Microbial Genomic Data

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Genomics, Proteomics & Bioinformatics 2019年第5期17卷 496-502页

作者： Ruilin Li Xiaoyu He Chuangchuang Dai Haidong Zhu Xianyu Lang Wei Chen Xiaodong Li Dan Zhao Yu Zhang Xinyin Han Tie Niu Yi Zhao Rongqiang Cao Rong He Zhonghua Lu Xuebin Chi Weizhong Li Beifang Niu Computer Network Information Center Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100190China Center of Scientific Computing Applications&Research Chinese Academy of SciencesBeijing 100190China Guizhou University School of Medicine Guiyang 550025China J.Craig Venter Institute La JollaCA 92037USA

The accelerating growth of the public microbial genomic data imposes substantial burden on the research community that uses such *** databases for non-redundant reference sequences from massive microbial genomic data based on clustering analysis is ***,existing clustering algorithms perform poorly on long genomic *** this article,we present Gclust,a parallel program for clustering complete or draft genomic sequences,where clustering is accelerated with a novel parallelization strategy and a fast sequence comparison algorithm using sparse suffix arrays(SSAs).Moreover,genome identity measures between two sequences are calculated based on their maximal exact matches(MEMs).In this paper,we demonstrate the high speed and clustering quality of Gclust by examining four genome sequence *** is freely available for non-commercial use at https://***/niu-lab/*** also introduce a web server for clustering user-uploaded genomes at http://***/gclust.

关键词： Microbial genome clustering Parallelization Sparse suffix array Maximal exact match Segment extension

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A method for contactless palm ROI extraction 11

A method for contactless palm ROI extraction

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11th International Conference on computer Engineering and Systems, ICCES 2016

作者： ElSayed, Ahmed S. Ebeid, Hala M. Roushdy, Mohamed Fayed, Zaki T. Computer Science Dept. Faculty of Computers and Information Sciences Ain Shams University Cairo Egypt Scientific Computing Department Faculty of Computers and Information Sciences Ain Shams University Cairo Egypt

ISBN: (纸本)9781509032679

Palmprint can be extracted from a hand using a low-cost webcam in a contactless manner. Using a webcam makes the enrollment process fast and convenient for users. Being contactless solve the hygiene issue and avoid copying the latent prints from sensor's surface. However, a number of challenges arise in such environment;geometric transformations, the existence of finger rings, hand accessories, and other false objects. This paper proposes a palm ROI extraction method that is robust to these challenges. The method is based on blob analysis, morphological and geometrical operations without a need to pre-Train or parameter adjustment. It's tested on three available hand databases that cover these challenges;namely, Sfax, IITD and PolyU 3D/2D. The palm ROI is considered to be wrongly extracted if it contains part of the background. The method achieves an extraction error of 0%, 0.27% and 0.26% for the three DBs, respectively. Applying a massive rotation and scaling tests leads to a minor increase in the extraction errors by 0.24%, 0.35% and 0.84% for the three DBs, respectively. © 2016 IEEE.

关键词： Extraction

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Algorithms for the Prize-Collecting k-Steiner Tree Problem

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Tsinghua Science and Technology 2022年第5期27卷 785-792页

作者： Lu Han Changjun Wang Dachuan Xu Dongmei Zhang School of Science Beijing University of Posts and TelecommunicationsBeijing 100876China Academy of Mathematics and Systems Science Chinese Academy of SciencesBeijing 100190China Beijing Institute for Scientific and Engineering Computing Beijing University of TechnologyBeijing 100124China School of Computer Science and Technology Shandong Jianzhu UniversityJinan 250101China

In this paper,we study the prize-collecting k-Steiner tree(PCkST) *** are given a graph G=(V,E) and an integer *** graph is connected and undirected.A vertex r ∈ V called root and a subset R?V called terminals are also given.A feasible solution for the PCkST is a tree F rooted at r and connecting at least k vertices in *** a vertex from the tree incurs a penalty cost,and including an edge in the tree incurs an edge *** wish to find a feasible solution with minimum total *** total cost of a tree F is the sum of the edge costs of the edges in F and the penalty costs of the vertices not in *** present a simple approximation algorithm with the ratio of 5.9672 for the *** algorithm uses the approximation algorithms for the prize-collecting Steiner tree(PCST) problem and the k-Steiner tree(kST) problem as *** we propose a primal-dual based approximation algorithm and improve the approximation ratio to 5.

关键词： prize-collecting Steiner tree approximation algorithm

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Towards Anatomy Education with Generative AI-based Virtual Assistants in Immersive Virtual Reality Environments 6

Towards Anatomy Education with Generative AI-based Virtual A...

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6th IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2024

作者： Chheang, Vuthea Sharmin, Shayla Marquez-Hernandez, Rommy Patel, Megha Rajasekaran, Danush Caulfield, Gavin Kiafar, Behdokht Li, Jicheng Kullu, Pinar Barmaki, Roghayeh Leila Lawrence Livermore National Laboratory Center of Applied Scientific Computing LivermoreCA United States University of Delaware Department of Computer and Information Sciences NewarkDE United States

ISBN: (纸本)9798350372021

Virtual reality (VR) and interactive 3D visualization systems have enhanced educational experiences and environments, particularly in complicated subjects such as anatomy education. VR-based systems surpass the potential limitations of traditional training approaches in facilitating interactive engagement among students. However, research on embodied virtual assistants that leverage generative artificial intelligence (AI) and verbal communication in the anatomy education context is underrepresented. In this work, we introduce a VR environment with a generative AI-embodied virtual assistant to support participants in responding to varying cognitive complexity anatomy questions and enable verbal communication. We assessed the technical efficacy and usability of the proposed environment in a pilot user study with 16 participants. We conducted a within-subject design for virtual assistant configuration (avatar- and screen-based), with two levels of cognitive complexity (knowledge- and analysis-based). The results reveal a significant difference in the scores obtained from knowledge- and analysis-based questions in relation to avatar configuration. Moreover, results provide insights into usability, cognitive task load, and the sense of presence in the proposed virtual assistant configurations. Our environment and results of the pilot study offer potential benefits and future research directions beyond medical education, using generative AI and embodied virtual agents as customized virtual conversational assistants. © 2024 IEEE.

关键词： Virtual reality

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Adaptive Power Control Aware Depth Routing in Underwater Sensor Networks

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computers, Materials & Continua 2021年第10期69卷 1301-1322页

作者： Ghufran Ahmed Saiful Islam Ihsan Ali Isra Adil Hayder Abdelmuttlib Ibrahim Abdalla Ahmed Muhammad Talha Sultan S.Alshamrani Ag Asri Ag Ibrahim Department of Computer Science FAST National University of Computer and Emerging Sciences(NUCES)KarachiPakistan Dr.A.Q.Khan Institute of Computer Sciences and Information Technology KahutaPakistan Faculty of Computer Science and Information Technology University of MalayaKuala Lumpur50603Malaysia Department of Computer Science COMSATS University IslamabadIslamabadPakistan Deanship of Scientific Research King Saud UniversityRiyadhSaudi Arabia Department of Information Technology College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia Faculty of Computing and Informatics Universiti Malaysia SabahKota KinabaluSabahMalaysia

Underwater acoustic sensor network(UASN)refers to a procedure that promotes a broad spectrum of aquatic *** can be practically applied in seismic checking,ocean mine identification,resource exploration,pollution checking,and disaster *** confronts many difficulties and issues,such as low bandwidth,node movements,propagation delay,3D arrangement,energy limitation,and high-cost production and arrangement costs caused by antagonistic underwater *** wireless sensor networks(UWSNs)are considered a major issue being encountered in energy management because of the limited battery power of their ***,the harsh underwater environment requires vendors to design and deploy energy-hungry devices to fulfil the communication requirements and maintain an acceptable quality of ***,increased transmission power levels result in higher channel interference,thereby increasing packet *** the facts mentioned above,this research presents a controlled transmission power-based sparsity-aware energy-efficient clustering in *** contributions of this technique is ***,it uses the adaptive power control mechanism to utilize the sensor nodes’battery and reduce channel interference ***,thresholds are defined to ensure successful ***,clustering can be implemented in dense areas to decrease the repetitive transmission that ultimately affects the energy consumption of nodes and interference ***,mobile sinks are deployed to gather information locally to achieve the previously mentioned *** suggested protocol is meticulously examined through extensive simulations and is validated through comparison with other advanced UWSN *** show that the suggested protocol outperforms other procedures in terms of network lifetime and packet delivery ratio.

关键词： UWSNs UASNs QoS

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Impacts of prior parameter distributions on Bayesian evaluation of groundwater model complexity

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Water Science and Engineering 2018年第2期11卷 89-100页

作者： Saeideh Samani Ming Ye Fan Zhang Yong-zhen Pei Guo-ping Tang Ahmed Elshall Asghar A.Moghaddam Department of Earth Sciences University of Tabriz Department of Scientific Computing Florida State University School of Computer Science and Software Engineering Tianjin Polytechnic University Department of Earth Ocean and Atmospheric Science Florida State University Key Laboratory of Tibetan Environment Changes and Land Surface Processes Institute of Tibetan Plateau Research Chinese Academy of Sciences Environmental Sciences Division Oak Ridge National Laboratory

This study used the marginal likelihood and Bayesian posterior model probability for evaluation of model complexity in order to avoid using over-complex models for numerical simulations. It focused on investigation of the impacts of prior parameter distributions(involved in calculating the marginal likelihood) on the evaluation of model complexity. We argue that prior parameter distributions should define the parameter space in which numerical simulations are made. New perspectives on the prior parameter distribution and posterior model probability were demonstrated in an example of groundwater solute transport modeling with four models, each simulating four column experiments. The models had different levels of complexity in terms of their model structures and numbers of calibrated parameters. The posterior model probability was evaluated for four cases with different prior parameter distributions. While the distributions substantially impacted model ranking, the model ranking in each case was reasonable for the specific circumstances in which numerical simulations were made. For evaluation of model complexity, it is thus necessary to determine the parameter spaces for modeling, which can be done by conducting numerical simulation and usineg engineering judgment based on understanding of the system being studied.

关键词： Marginal likelihood Posterior model probability Advection-dispersion equation Mobile-immobile model Groundwater model

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Adaptive energy-preserving algorithms for guiding center system

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Plasma Science and Technology 2023年第4期25卷 11-22页

作者：朱贝贝刘健张嘉炜祝爱卿唐贻发 Department of Applied Mathematics School of Mathematics and PhysicsUniversity of Science and Technology BeijingBeijing 100083Peopleʼs Republic of China School of Nuclear Science and Technology University of Science and Technology of ChinaHefei 230026Peopleʼs Republic of China Advanced algorithm Joint Lab Shandong Computer Science CenterQilu University of TechnologyJinan 250014Peopleʼs Republic of China The State Key Laboratory of Scientific and Engineering Computing The Institute of Computational Mathematics and Scientific/Engineering ComputingAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190Peopleʼs Republic of China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100049Peopleʼs Republic of China

We develop two types of adaptive energy preserving algorithms based on the averaged vector field for the guiding center dynamics,which plays a key role in magnetized *** adaptive scheme is applied to the Gauss Legendre’s quadrature rules and time stepsize respectively to overcome the energy drift problem in traditional energy-preserving *** new adaptive algorithms are second order,and their algebraic order is carefully *** results show that the global energy errors are bounded to the machine precision over long time using these adaptive algorithms without massive extra computation cost.

关键词： guiding center system energy-preserving methods adaptive energy conservation

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C¹ modeling with hybrid multiple-sided a-patches

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International Journal of Foundations of computer Science 2002年第2期13卷 261-284页

作者： Xu, Guoliang Bajaj, Chandrajit L. Evans, Susan State Key Lab. of Scientific and Engineering Computing ICMSEC Chinese Academy of Sciences Beijing China Department of Computer Science University of Texas Austin TX 78712 United States Department of Computer Science University of Purdue West Lafayette IN United States

We propose a new scheme for modeling a smooth interpolatory surface, from a surface discretization consisting of triangles, quadrilaterals and pentagons, by algebraic surface patches which are subsets of real zero contours of trivariate rational functions defined on a collection of tetrahedra and pyramids. The rational form of the modeling function provides enough degrees of freedom so that the number of the surface patches is significantly reduced, and the surface has quadratic recover property. © 2002 World scientific Publishing Company.

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Lung nodule segmentation and detection in computed tomography 8

Lung nodule segmentation and detection in computed tomograph...

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8th International Conference on Intelligent computing and Information Systems, ICICIS 2017

作者： El-Regaily, Salsabil Amin Salem, Mohammed Abdel Megeed Aziz, Mohamed Hassan Abdel Roushdy, Mohamed Ismail Basic Science Department Faculy of Computer and Information Sciences Ain Shams University Cairo Egypt Scientific Computing Department Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt University in Cairo GUC Faculty of Media Engineering and Technology Egypt Computer Science Department Faculy of Computer and Information Sciences Ain Shams University Cairo Egypt

ISBN: (纸本)9772371723

computer Aided Detection (CAD) systems provide a second opinion to radiologists in detecting lung cancer by providing automated analysis of the scans. The proposed CAD system consists of five processing steps: image acquisition, preprocessing, lung segmentation, nodule detection and false positive reduction. First, 400 CT scans are downloaded from the Lung Image Database Consortium (LIDC). Preprocessing is implemented using contrast stretching and enhancing. Lung segmentation and nodule detection stages are performed using a combination of region growing, thresholding and morphological operations. Each 3D structure is then subjected to tabular structure elimination to provide nodule candidates. In the false positive reduction stage, some of the basic nodule features are extracted from the training data to set thresholds for a simple rule-based classifier. The CAD achieved sensitivity of 77.77%, specificity of 69.5% and accuracy 70.53 % with an average 4.1 FPs/scan. © 2017 IEEE.

关键词： computerized tomography

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