检索结果-内蒙古大学图书馆

2nd IEEE International conference on Electrical Engineering, Big data and Algorithms, EEBDA 2023

作者： Guangyu, Bai Xin, Zhang Yongqiao, Zhang Pengyuan, Zhu Pengfei, Sun Zheng, Qiu NARI-TECH Nanjing Control Systems Ltd Nanjing China Nari Technology Co. Ltd Nanjing China

ISBN: (纸本)9781665462532

This paper proposes an innovative method of item label construction based on knowledge modeling. The model is based on BiLSTM-CRF sequence labeling model to identify the label of short power grid item. At the same time, Word2vec+SVM model and multi-label classification technology are used to extract and model long power grid item labels. Improve the knowledge extraction for the system mining model of company item. At the same time, on the basis of a large number of item structured data, this paper uses supervised algorithm to automatically mine the item system based on a small amount of labeled data. The purpose of this paper is to manage the existing item by multi-dimensional and multi-level tag system, and to dynamically adjust and configure the trained model and support the dynamic expansion of rules. This method can adapt the data of new item well. © 2023 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

process-oriented documentation of user requirements for analytical applications-challenges, state of the art and evaluation of a service-based configuration approach 17

Process-oriented documentation of user requirements for anal...

引用

17th conference on Computer Science and Intelligence Systems (FedCSIS)

作者： Hrach, Christian Alt, Rainer Sackmann, Stefan Inst Appl Informat Goerdelerring 9 D-04109 Leipzig Germany Univ Leipzig Grimma Str 12 D-04109 Leipzig Germany Martin Luther Univ Halle Wittenberg Univ Ring 3 D-06108 Halle Germany

ISBN: (数字)9788396242396

ISBN: (纸本)9788396242396

In recent years, the integration of process design in conjunction with the use of analytical applications to provide information tailored to user requirements to support operational process activities (e.g., Operational BI) has become increasingly widespread. In analytical software development/implementation projects, the insufficient involvement of analytical end users with their process context and the resulting unclear requirements/expected analytical software functions are still one of the main reasons for analytical project failure. Embedded in a Design Science Research process, this paper shows the shortcomings of existing approaches, tools and models (1. BPMN process model extensions, 2. configurators in analytical applications, 3. models used in analytical implementation projects) for the documentation/conceptual configuration of analytical requirements. As a second part, this paper presents the evaluation results of a new process-oriented and service-based configuration approach for analytical applications, whose practicability, usefulness and acceptance were evaluated in expert reviews and in analytical development projects.

关键词： Computer science Analytical models process modeling Computational modeling data visualization Documentation Software

来源：评论

学校读者我要写书评

暂无评论

Multi-Granularity Feature Fusion for Image-Guided Story Ending Generation

引用

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE processING 2024年 32卷 3437-3449页

作者： Li, Pijian Huang, Qingbao Li, Zhigang Cai, Yi Shuang, Feng Li, Qing Guangxi Univ Sch Elect Engn Nanning 530004 Peoples R China South China Univ Technol Sch Software Engn Guangzhou 510006 Peoples R China MOE China Key Lab Big Data & Intelligent Robot SCUT Guangzhou 510006 Peoples R China Guangxi Key Lab Intelligent Control & Maintenance Nanning 530004 Peoples R China Hong Kong Polytech Univ Dept Comp Hong Kong 999077 Peoples R China

Image-guided Story Ending Generation aims at generating a reasonable and logical ending given a story context and an ending-related image. The existing models have achieved some success by fusing global image features with story context through an attention mechanism. However, they ignore the logical relationship between the story context and the image regions, and have not considered the high-level semantic features of the image such as visual sentiment. This may cause the generated ending inconsistent with the logic or sentiment of the given information. In this paper, we propose a Multi-Granularity feature Fusion (MGF) model to solve this problem. Concretely, we first employ an image sentiment extractor to grasp the sentiment features of the image as part of the global image features. We then design a scene subgraph selector to capture the image features of the key region by picking the scene subgraph most relevant to the context. Finally, we fuse the textual and visual features from object level, region level, and global level, respectively. Our model is thereby capable of effectively capturing the key region features and visual sentiment of the image, so as to generate a more logical and sentimental ending. Experimental results show that our MGF model outperforms the state-of-the-art models on most metrics.

关键词： Feature extraction Visualization Context modeling Task analysis Fuses Logic Skeleton Image-guided story ending generation story ending generation multi-granularity feature fusion scene subgraph image sentiment

来源：评论

学校读者我要写书评

暂无评论

Development of MLOps Platform Based on Power Source analysis for Considering Manufacturing Environment Changes in Real-Time processes

Development of MLOps Platform Based on Power Source Analysis...

引用

Human-Computer Interaction Thematic Area conference (HCI) Held as Part of the 25th International conference on Human-Computer Interaction (HCII)

作者： Cha, Ji-hyun Jeong, Heung-gyun Han, Seung-woo Kim, Dong-chul Oh, Jung-hun Hwang, Seok-hee Park, Byeong-ju Cloudnetworks Co Ltd 20 Yeongdong Daero 96 Gil Seoul South Korea Ijoon Co Ltd 410 75 Techno 1 Ro Daejeon South Korea

ISBN: (纸本)9783031355714;9783031355721

Smart factories have led to the introduction of automated facilities in manufacturing lines and the increase in productivity using semi-automatic equipment or work auxiliary tools that use power sources in parallel with the existing pure manual manufacturing method. The productivity and quality of manual manufacturing work heavily depend on the skill level of the operators. Therefore, changes in manufacturing input factors can be determined by analyzing the pattern change of power sources such as electricity and pneumatic energy consumed in work-aid tools or semi-automatic facilities used by skilled operators. The manual workflow can be optimized by modeling this pattern and the image information of the operator and analyzing it in real time. Machine learning operations (MLOps) technology is required to respond to rapid changes in production systems and facilities and work patterns that frequently occur in small-batch production methods. MLOps can selectively configure Kubeflow, the MLOps solution, and the data lake based on Kubernetes for the entire process, from collecting and analyzing data to learning and deploying ML models, enabling the provision of fast and differentiated services from model development to distribution by the scale and construction stage of the manufacturing site. In this study, the manual work patterns of operators, which are unstructured data, were formulated into power source consumption patterns and analyzed along with image information to develop a manufacturing management platform applicable to manual-based, multi-variety, small-volume production methods and eventually for operator training in connection with three-dimensional visualization technology.

关键词： Pneumatic pattern analysis Manual work standardization Image information analysis Machine learning

来源：评论

学校读者我要写书评

暂无评论

Cell Metabolic Diagnosis and control in CHO Fed-batch process 13th

Cell Metabolic Diagnosis and Control in CHO Fed-batch Proces...

引用

13th IFAC Symposium on Dynamics and control of process Systems, including Biosystems (DYCOPS)

作者： Kuang, Bingyu Duc Hoang Wang, Zhao Yoon, Seongkyu Univ Massachusetts Chem Engn Dept Lowell MA 01854 USA

Therapeutic protein productivity and product quality highly rely on cell metabolism of the fed-batch process, which is a costly, time-consuming and lack of intracellular analytical diagnostic tools. Cell culture medium composition and feeding strategy is critical to regulate cell metabolism. In this study, we present an unorthodox approach to optimize CHO bioprocess by integrating conventional design-of-experiments (DOE) methodology with genome scale model (GEM) flux analysis. Generic CHO-K1 metabolic model was tailored and further integrated with CHO fed-batch metabolomic data to obtain a cell line- and process-specific model. In silico metabolic flux analysis was conducted via GEM to identify the critical medium components toward cellular growth and further evaluate their optimized flux values from thirty five simulated fed batch DOE conditions. Glucose and valine were projected as the most critical nutrients in the process from the flux simulation analysis. Using this approach, previously identified metabolic inhibitor cytidine monophosphate accumulated in extracellular environment was found to be regulated by glucose, glutamine, aspartate, and alanine and further experimentally validated through dose-dependent amino acid spiking study. A process diagnostic and control model was constructed from network topology modeling constructed through GEM and pathway enrichment analysis, which allowed optimization of medium components utilized in a fed-batch feeding process to better support cell metabolism and mitigate accumulation of metabolic inhibitors. Copyright (C) 2022 The Authors.

关键词： Therapeutic protein production Fed-batch bioprocess in silico model FBA Culture medium development Metabolism shift

来源：评论

学校读者我要写书评

暂无评论

A Method of Hardware Implementation of Membrane Computing Architectures for Mobile Robot control 16

A Method of Hardware Implementation of Membrane Computing Ar...

引用

16th International conference on Development and Application Systems, DAS 2022

作者： Ababii, Victor Sudacevschi, Viorica Carbune, Viorel Munteanu, Silvia Alexei, Victoria Lasco, Victor Technical University of Moldova Computer Science and Systems Engineering Department Chisinau Moldova

ISBN: (纸本)9781665481625

This paper proposes a method of hardware implementation of the membrane computing architecture for the control of a mobile robot. The basic idea is to use in the development of control systems the models of functional description of living cells, which should ensure a process of design, modeling and implementation based on cognitive models. The implementation algorithm presents a sequence of operations involving: functional development and modeling of Computing Cells, development and modeling of the topology of the membrane computing system (P-System), their implementation in hardware description languages (AHDL), and configuration of the FPGA circuit for realization of the control system. For validation and analysis of the performance of the Computing Cells, Petri Net models are used, which ensure the identification of the concurrent processes while maintaining a maximum parallelism. Functional testing of membrane computing models was performed based on the Quartus II development environment, the AHDL hardware description language, and the Altera DE0 Board. © 2022 IEEE.

关键词： Computer hardware description languages

来源：评论

学校读者我要写书评

暂无评论

Scenic keyword crawling prediction analysis model based on Python technology 5

Scenic keyword crawling prediction analysis model based on P...

引用

5th International conference on E-Business, Information Management and Computer Science, EBIMCS 2022

作者： Ning, Ying Wuhan Business University China

ISBN: (纸本)9781450397834

With the rapid development of the Internet and the advent of the era of big data, data mining has played an important role in exploring potential value information from massive data, and has become one of the current popular research and practice directions. As a relatively popular programming language in the field of data mining, python has become an indispensable tool in the process of data mining with its rich technical library and powerful scientific computing capabilities. This research is mainly based on the python language. Taking Wuhan as an example, data mining analysis and modeling are carried out on the keyword data of the scenic spot, and then a prediction and classification model for the number of people in the scenic spot is obtained, so as to effectively improve the precise management of the scenic spot by the cultural and tourism department. © 2022 ACM.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

STUDY FOR TEXT LENGTH IMPACT ON TEXT CLASSIFICATION ACCURACY BASED ON THE TRANSFORMER METHOD

STUDY FOR TEXT LENGTH IMPACT ON TEXT CLASSIFICATION ACCURACY...

引用

2024 International conference on Electrical Engineering and Intelligent control, EEIC 2024

作者： Liu, Xiaoyu College of Computer and Information Science Southwest University Chongqing400715 China

ISBN: (纸本)9781837242672

One of the key tasks in natural language processing is text classification, while traditional text classification methods have limitations in processing long texts and complex dependencies. The Transformer model can effectively capture local and global dependencies in texts to better understand the meaning of texts and can process texts of arbitrary length. This study explores the performance of the Transformer-based text classification model under different text lengths. A component of the research methodology is utilizing the THU Chinese Text Classification (THUCNews) dataset, which comprises around 740,000 news articles categorized into 14 groups. data preprocessing includes word segmentation, stop word removal, and stemming. Evaluation measures such as recall, accuracy, precision, and F1 score are used to fully assess the model's performance The Transformer-based text categorization model exhibits notable variations depending on the text length, according to experimental data. Specifically, long texts with large information capacity can usually provide more contextual information, which helps to improve classification accuracy. However, when the text length approaches an extreme, the accuracy may not follow this trend, possibly because the number of samples is too small or contains noisy data. The results analysis and discussion highlight the need for an adequate and uniformly distributed number of text samples varying in length to enhance the validity and generalizability of the experimental findings. In addition, special processing of texts of extreme lengths, such as data enhancement or feature extraction, can increase the amount of training data for the model. © The Institution of Engineering & Technology 2024.

关键词： data accuracy

来源：评论

学校读者我要写书评

暂无评论

Synchronization and analysis of multimodal bronchoscopic airway exams for early lung cancer detection

Synchronization and analysis of multimodal bronchoscopic air...

引用

conference on Medical Imaging - Image-Guided Procedures, Robotic Interventions, and modeling

作者： Chang, Qi Daneshpajooh, Vahid Byrnes, Patrick D. Ahmad, Danish Toth, Jennifer Bascom, Rebecca Higgins, William E. Penn State Univ Sch Elect Engn & Comp Sci University Pk PA 16802 USA Penn State Univ Coll Med University Pk PA USA

ISBN: (纸本)9781510671614;9781510671607

Because lung cancer is the leading cause of cancer-related deaths globally, early disease detection is vital. To help with this issue, advances in bronchoscopy have brought about three complementary noninvasive video modalities for imaging early-stage bronchial lesions along the airway walls: white-light bronchoscopy (WLB), autofluorescence bronchoscopy (AFB), and narrow-band imaging (NBI). Recent research indicates that performing a multimodal airway exam - i.e., using the three modalities together - potentially enables a more robust disease assessment than any single modality. Unfortunately, to perform a multimodal exam, the physician must manually examine each modality's video stream separately and then mentally correlate lesion observations. This process is not only extremely tedious and skill-dependent, but also poses the risk of missed lesions, thereby reducing diagnostic confidence. What is needed is a methodology and set of tools for easily leveraging the complementary information offered by these modalities. To address this need, we propose a framework for video synchronization and fusion tailored to multimodal bronchoscopic airway examination. Our framework, built into an interactive graphical system, entails a three-step process. First, for each of the three airway exams performed with a given bronchoscopic modality, several key airway video-frame landmarks are noted with respect to the patient's CT-based 3D airway tree model (CT = computed tomography), where the airway tree model serves as a reference space for the entire process. These landmarks create a set of connections between the videos and the airway tree to facilitate subsequent fine registration. Second, the landmark set, along with a set of additional video frames, which either contain detected lesions flagged by two deep-learning-based detection networks or lie between landmarks to help fill surface gaps, are finely registered to the airway tree, using a CT-video-based global registration meth

关键词： lung cancer early detection bronchoscopy video summarization and synchronization multimodality image/ data display

来源：评论

学校读者我要写书评

暂无评论

Operating performance assessment of between-mode transitions for multi-mode plant-wide process 13

Operating performance assessment of between-mode transitions...

引用

13th Asian control conference (ASCC)

作者： Zou, Xiaoyu Hu, Liang Wang, Fuli Chang, Yuqing Pan, Jie Chu, Fei China Univ Min & Technol Sch Mechatron Engn Jiangsu Key Lab Mine Mech & Elect Equipment Xuzhou Jiangsu Peoples R China China Univ Min & Technol Sch Mechatron Engn Xuzhou Jiangsu Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang Peoples R China China Univ Min & Technol Sch Informat & Control Engn Xuzhou Jiangsu Peoples R China

ISBN: (纸本)9788993215236

The assessment of operational performance evaluates the degree of online optimality of the process behavior and identifies the causes of non-optimality. However, transitions between modes during performance evaluation is often overlooked and difficult to evaluate. In this paper, the following practical issues are considered, namely, the plant-wide process properties, the multiple working mode characteristics, and the coexistence of quantitative and qualitative information. An Operating performance assessment with between-mode transitions is proposed in this research. The characteristics of intermodal transitions are analyzed to determine the factors that affect performance. To tackle the plant-wide properties, a process is divided into several sub-blocks according to the process physical properties horizontally. Then operating performance is classified into sub-block level and global level vertically. The sub-blocks are modeled and evaluated individually, which together with the between-mode transitions modeling and evaluation constitute the global level evaluation. In between-mode transitions, the features of the average optimal trajectory are extracted as for the evaluation. Finally, the proposed method is applied to the gold hydrometallurgical process to examine its assessment behavior.

关键词： operating performance assessment multi-mode between-mode transitions gold hydrometallurgy

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：