Development Status of Digital Detection Technology for Unfavorable Geological Structures in Deep Tunnels

Xingzhi Ba,Li-Ping Li,Shangqu Sun,Hong-liang Liu,Jing Wang,Zhongdong Fang 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.4

The geological conditions of long tunnels are complex and changeable. Potential structural planes or unfavorable geological structures are random and unpredictable. Sudden geological disasters can easily cause delays in construction periods, economic losses, and even serious casualties. Tunnel monitoring measurement and advanced geological forecast research have always been two major guarantees for safe tunnel construction. However, the current research lacks a clear explanation of the classification of rock mass structural surfaces and the hazard-causing mechanism. Many recent instabilities of surrounding rock structures and The block loss accident has made it a hot issue for research. First, combining the past work of the team, the structural surfaces in the rock mass are mainly divided into two types: exposed and hidden structural surfaces, and different detection methods are summarized for their different occurrencestates. Among them, digital compass contact measurement, near Range photogrammetry and laser scanning have become the three major means to support the development of the geological survey of the tunnel structural surface. Secondly, it systematically summarizes the comprehensive detection methods of bad geological structures in the rock mass structure, and introduces the specific application of geophysical technology in tunnel engineering. Finally, the development trends of the above two rock mass structure detection technologies are discussed. Based on the two parts of rock mass structural surface and unfavorable geological structure, it systematically expounds the development status of the existing typical disaster-causing structure detection technology, which can provide important references for researchers in this field, especially field engineers.

Hiding Sensitive Frequent Itemsets by a Border- Based Approach

Xingzhi Sun,Philip S. Yu 한국정보과학회 2007 Journal of Computing Science and Engineering Vol.1 No.1

Nowadays, sharing data among organizations is often required during the business collaboration. Data mining technology has enabled efficient extraction of knowledge from large databases. This, however, increases risks of disclosing the sensitive knowledge when the database is released to other parties. To address this privacy issue, one may sanitize the original database so that the sensitive knowledge is hidden. The challenge is to minimize the side effect on the quality of the sanitized database so that non-sensitive knowledge can still be mined. In this paper, we study such a problem in the context of hiding sensitive frequent itemsets by judiciously modifying the transactions in the database. Unlike previous work, we consider the quality of the sanitized database especially on preserving the non-sensitive frequent itemsets. To preserve the non-sensitive frequent itemsets, we propose a border-based approach to efficiently evaluate the impact of any modification to the database during the hiding process. The quality of database can be well maintained by greedily selecting the modifications with minimal side effect. Experiments results are also reported to show the effectiveness of the proposed approach.

Hiding Sensitive Frequent Itemsets by a Border-Based Approach

Sun, Xingzhi,Yu, Philip S. Korean Institute of Information Scientists and Eng 2007 Journal of Computing Science and Engineering Vol.1 No.1

Nowadays, sharing data among organizations is often required during the business collaboration. Data mining technology has enabled efficient extraction of knowledge from large databases. This, however, increases risks of disclosing the sensitive knowledge when the database is released to other parties. To address this privacy issue, one may sanitize the original database so that the sensitive knowledge is hidden. The challenge is to minimize the side effect on the quality of the sanitized database so that non-sensitive knowledge can still be mined. In this paper, we study such a problem in the context of hiding sensitive frequent itemsets by judiciously modifying the transactions in the database. Unlike previous work, we consider the quality of the sanitized database especially on preserving the non-sensitive frequent itemsets. To preserve the non-sensitive frequent itemsets, we propose a border-based approach to efficiently evaluate the impact of any modification to the database during the hiding process. The quality of database can be well maintained by greedily selecting the modifications with minimal side effect. Experiments results are also reported to show the effectiveness of the proposed approach.

Research Framework for Risk Management on Civil Engineering Projects Invested by Chinese Government

Yanwei Wang,Xingzhi Liu 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10

Due to the characteristic of social public welfare and huge scale, civil engineering projects invested by government are the majority part of investment in fixed assets in China. However, as the current investment management mechanism joined together with Investment, Construction, Management and Operation, there are a large number of projects issues just like a low executive effectiveness, a wastej of recourses, unrealizable objectives. One main reason which causes the issues above is that there is no effective risk management mechanism for civil engineering projects. As there are so many stakeholders and so complex principal-agent relationships, it is not enough to rely on project management by project manager. Research from the view of governance can build a risk management frame work for civil engineering projects so that project risks can be deduced and then utilize on the investment by government can be improved.

Investigation of random fatigue life prediction based on artificial neural network

Jie Xu,Chongyang Liu,Xingzhi Huang,Yaolei Zhang,Haibo Zhou,Hehuan Lian 국제구조공학회 2023 Steel and Composite Structures, An International J Vol.46 No.3

Time domain method and frequency domain method are commonly used in the current fatigue life calculation theory. The time domain method has complicated procedures and needs a large amount of calculation, while the frequency domain method has poor applicability to different materials and different spectrum, and improper selection of spectrum model will lead to large errors. Considering that artificial neural network has strong ability of nonlinear mapping and generalization, this paper applied this technique to random fatigue life prediction, and the effect of average stress was taken into account, thereby achieving more accurate prediction result of random fatigue life.

Research on Community Knowledge Modeling of Readers Based on Interest Labels

Kai Wang,Wei Pan,Xingzhi Chen 한국정보처리학회 2023 Journal of information processing systems Vol.19 No.1

Community portraits can deeply explore the characteristics of community structures and describe the personalizedknowledge needs of community users, which is of great practical significance for improving communityrecommendation services, as well as the accuracy of resource push. The current community portraits generallyhave the problems of weak perception of interest characteristics and low degree of integration of topic information. To resolve this problem, the reader community portrait method based on the thematic and timelinesscharacteristics of interest labels (UIT) is proposed. First, community opinion leaders are identified based onmulti-feature calculations, and then the topic features of their texts are identified based on the LDA topic model. On this basis, a semantic mapping including “reader community-opinion leader-text content” was established. Second, the readers' interest similarity of the labels was dynamically updated, and two kinds of tag parameterswere integrated, namely, the intensity of interest labels and the stability of interest labels. Finally, the similaritydistance between the opinion leader and the topic of interest was calculated to obtain the dynamic interest setof the opinion leaders. Experimental analysis was conducted on real data from the Douban reading community. The experimental results show that the UIT has the highest average F value (0.551) compared to the state-ofthe-art approaches, which indicates that the UIT has better performance in the smooth time dimension.

Research on the Model of Performance Evaluation for Enterprise Informatization Based on the Input and Output Process Perspective

Liu, Rongkun,Liu, Xingzhi 한중경제문화학회 2013 한중경제문화연구 Vol.1 No.-

Enterprise informatization is a complex system made of management philosophy, management methods and information technology. According to Porter's valuechain thinking, enterprise informatization actually builds the foundation platform for the primary activities and secondary activities that create business value. Therefore, performance of enterprise informatization has characteristics of integrity, indirection, long-term and so on. This paper, based the enterprise informatization performance has the charac on the value evaluation and from the input-output process perspective, sets cognitive variables to systematically descript input and output of enterprise informatization and builds a class of cognitive performance evaluation model. The empirical studies have shown that the model can describe the performance of enterprise informatization systematically and provide the quantitative evidence for enterprise informatization management.

Behaviour of Endplate Joints Subjected to Elevated Temperature after Cyclic Loads

Zhen Guo,Xuecheng Zhang,Xingzhi Jia 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.11

This paper presents the performance of an end-plate joint at elevated temperature after cyclic loads. Prime interest of the end-plate joints, subjected to elevated temperature, lies on the effect of three kinds of external conditions: monotonic loads, cyclic loads and local damages. Parametric studies have been systematically conducted using simplified models. The Behaviour of endplate joints subjected to high temperature is examined under two levels of damage caused to the structure, i.e., deformation damage and fracture damage under earthquake. Numerical results indicate that dead loads on beam and material properties of endplate joints are still playing a significant role in fire resistance. Under only deformation damage, the dominance of joints’ resistance to fire is still primarily the property of the material itself. Once experiencing fracture damage, for instance endplates fracture and bolts breakage, the behaviour of joints will degrade severely in post-earthquake fire. The results of this study demonstrate that the deformation damages has limited effect on the endplate joint at elevated temperature after an earthquake. The achieved results can be adopted during the design stage in order to minimize the probability of collapse in the fire.

Occurrence of ethyl carbamate in three types of Chinese wines and its possible reasons

Zhengfu Wang,Lili Yang,Liyan Ma,Xingzhi Liu,Jingming Li 한국식품과학회 2016 Food Science and Biotechnology Vol.25 No.4

A total of 75 wines including 30 white wines, 31 red wines, and 14 sparkling wines wereobtained from several regions in China (Sinkiang, Tonghua, Huailai, Yantai, Changli, Shanxi, Gansu, andNingxia). Ethyl carbamate (EC) was detected by gas chromatography mass spectrometry. The ECconcentration ranged from less than 1.16 to 38.56 μg/L, and the concentrations in 17 wines exceededthe U.S. limit for table wines (15 μg/L). The concentrations of EC increased in the order of white, red,and sparkling wines with the corresponding mean concentrations of 6.12, 9.22, and 14.03 μg/L. Therelationship between EC concentration and wine type suggested that EC concentrations in wines mightbe affected by vinification patterns, most likely due to the difference between EC precursors indifferent vinification processes. This work provides a novel clue for EC contamination in different wines.

Occurrence of ethyl carbamate in three types of Chinese wines and its possible reasons

Fu, Zheng,Yang, Lili,Ma, Liyan,Liu, Xingzhi,Li, Jingming 한국식품과학회 2016 Food Science and Biotechnology Vol.25 No.4

A total of 75 wines including 30 white wines, 31 red wines, and 14 sparkling wines were obtained from several regions in China (Sinkiang, Tonghua, Huailai, Yantai, Changli, Shanxi, Gansu, and Ningxia). Ethyl carbamate (EC) was detected by gas chromatography mass spectrometry. The EC concentration ranged from less than 1.16 to $38.56{\mu}g/L$, and the concentrations in 17 wines exceeded the U.S. limit for table wines ($15{\mu}g/L$). The concentrations of EC increased in the order of white, red, and sparkling wines with the corresponding mean concentrations of 6.12, 9.22, and $14.03{\mu}g/L$. The relationship between EC concentration and wine type suggested that EC concentrations in wines might be affected by vinification patterns, most likely due to the difference between EC precursors in different vinification processes. This work provides a novel clue for EC contamination in different wines.