scholarly journals Research of Automatic Generation for Engineering Geological Survey Reports Based on a Four-Dimensional Dynamic Template

2020 ◽  
Vol 9 (9) ◽  
pp. 496
Author(s):  
Yujiao Lei ◽  
Jiqiu Deng ◽  
Jian Lin ◽  
Jeffrey M. Dick ◽  
Mohammad Naser Lessani ◽  
...  
Keyword(s):  
Automatic Generation ◽  
Geological Survey ◽  
Generation Model ◽  
Hierarchical Tree ◽  
Survey Report ◽  
Standardized Report ◽  
Report System ◽  
Professional Field ◽  
Manual Processing ◽  
Dynamic Template

Errors and inefficiency may be caused by manual processing of complex templates for the preparation and management of engineering survey reports. To address this problem, this paper analyzes the multidimensional variable features of professional field documents and proposes a generation model of standardized reports based on a four-dimensional dynamic template. This approach splits the standardized report into multiple parts to construct a hierarchical tree that represents the report structure according to the report rules, then stores the tree in a graph database, and finally generates the desired report dynamically by retrieving the relational tree for the template and obtaining the relevant data. The model has been applied to the engineering geological survey report system and is shown to improve the working efficiency and data accuracy of the report preparation. Results indicate that the model is feasible and effective.

scholarly journals Cognification of Program Synthesis—A Systematic Feature-Oriented Analysis and Future Direction

Computers ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 27
Author(s):  
Ahmad F. Subahi
Keyword(s):  
Code Generation ◽  
Program Synthesis ◽  
Domain Analysis ◽  
Automatic Generation ◽  
Feature Model ◽  
Automatic Process ◽  
Generation Model ◽  
Research Database ◽  
Next Generation ◽  
Research Questions

Program synthesis is defined as a software development step aims at achieving an automatic process of code generation that is satisfactory given high-level specifications. There are various program synthesis applications built on Machine Learning (ML) and Natural Language Processing (NLP) based approaches. Recently, there have been remarkable advancements in the Artificial Intelligent (AI) domain. The rise in advanced ML techniques has been remarkable. Deep Learning (DL), for instance, is considered an example of a currently attractive research field that has led to advances in the areas of ML and NLP. With this advancement, there is a need to gain greater benefits from these approaches to cognify synthesis processes for next-generation model-driven engineering (MDE) framework. In this work, a systematic domain analysis is conducted to explore the extent to the automatic generation of code can be enabled via the next generation of cognified MDE frameworks that support recent DL and NLP techniques. After identifying critical features that might be considered when distinguishing synthesis systems, it will be possible to introduce a conceptual design for the future involving program synthesis/MDE frameworks. By searching different research database sources, 182 articles related to program synthesis approaches and their applications were identified. After defining research questions, structuring the domain analysis, and applying inclusion and exclusion criteria on the classification scheme, 170 out of 182 articles were considered in a three-phase systematic analysis, guided by some research questions. The analysis is introduced as a key contribution. The results are documented using feature diagrams as a comprehensive feature model of program synthesis showing alternative techniques and architectures. The achieved outcomes serve as motivation for introducing a conceptual architectural design of the next generation of cognified MDE frameworks.

Study of Stratigraphic Classification Considering Construction of Underground Warehouse in China

2013 ◽  
Vol 864-867 ◽  
pp. 1083-1086
Author(s):  
Yong Quan Li ◽  
Qing Huan Wang
Keyword(s):  
New Method ◽  
Geological Survey ◽  
Survey Report ◽  
Geological Age

In this paper, the knowledge about stratigraphic classification is introduced in detail. According to several hundred geological survey report in china, one new method about stratigraphic classification is put forward, by which rocks are divided into three categories on the base of Protodyakonov's coefficient f, and soils are divided into three categories on the base of geological age. The method about stratigraphic classification put forward is helpful for construction of underground warehouse in China.

Research of Stratigraphic Classification Based on Difficult Degree of Construction

2014 ◽  
Vol 919-921 ◽  
pp. 723-726
Author(s):  
Yuan Qing Duan ◽  
Yong Quan Li
Keyword(s):  
Soil Formation ◽  
Geological Survey ◽  
Classification Method ◽  
General Knowledge ◽  
New Classification ◽  
Construction Time ◽  
Survey Report ◽  
Geological Age ◽  
The Difference ◽  
Rock And Soil

The principles about soil formation and the difference between rock and soil are introduced. The general knowledge about stratigraphic classification is interpreted in detail. Based on several hundred geological survey report about construction and renovation, one new classification method based on difficult degree of construction is put forward, by which rocks are divided into three levels on the base of Protodyakonov's coefficient f, and soils are divided into three levels on the base of geological age. The classification method put forward is helpful for estimating the difficulty of the construction, construction amount and Construction time.

CaFPGA: An automatic generation model for CNN accelerator

2018 ◽  
Vol 60 ◽  
pp. 196-206 ◽  
Author(s):  
Jinwei Xu ◽  
Zhiqiang Liu ◽  
Jingfei Jiang ◽  
Yong Dou ◽  
Shijie Li
Keyword(s):  
Automatic Generation ◽  
Generation Model

Semi-Automatic Generation Model of Elements in XBRL Taxonomy

2013 ◽  
Vol 411-414 ◽  
pp. 467-472
Author(s):  
Ding Wang ◽  
Chao Feng Wang ◽  
Min Huang ◽  
Ying Wang
Keyword(s):  
Error Rate ◽  
Accounting Information ◽  
Automatic Generation ◽  
Generation Model

XBRL taxonomy is the latest technology applied to process accounting information at present. The financial elements determination and formalization are the foundation of the XBRL taxonomy. In this paper, the process of the elements generation is analyzed and a semi-automatic generation model of elements is proposed. By validation results show that this model can reduce the workload and error rate of element generation, improve the quality of taxonomy and lay a good foundation for XBRL application.

A New Disassembly Network Graph Model and its Automatic Generation

2012 ◽  
Vol 195-196 ◽  
pp. 1083-1088
Author(s):  
Xiao Hong Jin ◽  
Guang Dong Tian
Keyword(s):  
Adjacency Matrix ◽  
Process Model ◽  
Graph Model ◽  
Automatic Generation ◽  
Generation Model ◽  
Network Graph ◽  
Logical Relationship ◽  
Disassembly Process ◽  
Storage Type

Disassembly process model plays an important role in the generation of disassembly sequences and evaluation of disassembly process.Based on the concept of adjacency matrix and disassembly precedence matrix, combined with the related definitions of constraint nodes, such as, actual constraint node etc. A new disassembly network graph model is introduced, which can express the constrain information between parts, the priority of the constraints and and/or logical relationship between parts. In addition, according to the storage type and VC tool, its automatic generation model is obtained.

Image inspired Chinese couplet generation

2020 ◽  
Vol 18 (3) ◽  
pp. 217-227
Author(s):  
Shengqiong Yuan ◽  
Luo Zhong ◽  
Lin Li
Keyword(s):  
Language Processing ◽  
Chinese Culture ◽  
Automatic Generation ◽  
Input Image ◽  
Cultural Value ◽  
Generation Model ◽  
Chinese History ◽  
Artistic Conception ◽  
Text Information ◽  
Antecedent Clause

Chinese couplets, as one of the traditional Chinese culture, is the treasure of Chinese civilization and the inheritance of Chinese history. Given a sentence (namely an antecedent clause), people reply with another sentence (namely a subsequent clause) equal in length. Because of the complexity of the semantic and grammatical rules of couplet, it is not easy to create a suitable couplet that meets the requirements of sentence pattern, context, and flatness. With the development of neural models and natural language processing, automatic generation of Chinese couplets has drawn significant attention due to its artistic and cultural value, most of these works mainly focus on generating couplet by given text information, while visual inspirations for couplet generation have been rarely explored. In this paper, we design a Chinese couplet generation model based on NIC (Neural Image Caption), which can compose a piece of couplet suitable to the artistic conception in an image. At first, we use the improved VGG16 model to predict the input image. The content of the image can be automatically recognized and the corresponding description are generated and translated into Chinese keywords. Then, the encoder-decoder framework is used repeatedly to process these keywords, and finally the couplet can be generated. Moreover, to satisfy special characteristics of couplets, we incorporate the attention mechanism into the encoding-decoding process, which greatly improves the accuracy of couplets generated automatically.

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