There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

Data Mining Practical Machine Learning Tools and Techniques

“Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告

The author systematically examines one of the important issues of information — establishing the market price. He introduces the concept of «search» — where a buyer wanting to get a better price, is forced to question sellers. The article deals with various aspects of finding the necessary information.

Economics of Information

Comprehensive understandings to the built environment especially the urban form is a prerequisite for building a smart city. This paper is based on computational methods to examine the urban fabric of Hankou, China, as a case study. Quantitative and comparative analyses are involved to understand the characteristics on the block scale, where massive demolition and new construction coincide with the existing historical context. Five urban fabric indicators are defined (i.e., density, compactness, fragmentation, variance, and cohesion) to conduct a case study for the 83 selected blocks using geographic information system tools and statistical analysis. Distribution patterns and correlations between these indicators are analyzed. Comparisons are made between typical blocks with high, median, and low fabric densities using comprehensive fabric indicators. The research results indicate that the organic order of the original urban fabric is facing damage, especially from arbitrary demolition, overinfilling, and spontaneous encroachment. Finally, this paper discusses how retaining the urban fabric makes the city a vibrant place to live. The sustainable development of a city should attach great importance to the protection and continuation of local characteristics of integrity and authenticity. The described analytical methods could contribute to the optimization of urban design strategies for future smart cities.

Assessment of Urban Fabric for Smart Cities

Considering the uncertainty of the macroeconomic environment, the robust optimization method is studied for constructing and designing the automotive supply chain network, and based on the definition of robust solution a robust optimization model is built for integrated supply chain network design that consists of supplier selection problem and facility location–distribution problem. The tabu search algorithm is proposed for supply chain node configuration, analyzing the influence of the level of uncertainty on robust results, and by comparing the performance of supply chain network design through the stochastic programming model and robustness optimize model, on this basis, determining the rational layout of supply chain network under macroeconomic fluctuations. At last the contrastive test result validates that the performance of tabu search algorithm is outstanding on convergence and computational time. Meanwhile it is indicated that the robust optimization model can reduce investment risks effectively when it is applied to supply chain network design.

The research on optimization of auto supply chain network robust model under macroeconomic fluctuations

Latent Dirichlet Allocation (LDA) has been increasingly applied in the area of computer vision. LDA is based on the 'bag of words' assumption that ignores the spatial structure of images. This problem poses a non-trivial impact on the performance of the model. There exist a number of methods that attempt to address the limit. One representative work can be Spatial Latent Topic Model (Spatial-LTM) for unsupervised joint object discovery and segmentation, which improves over LDA by assigning locally co-occurring visual words with the same topic. However, this model still ignores the spatial relations between visual words which are spatially distant from each other. In this paper, we add a spatial regularization term to the model's posterior distribution that regulates the difference of multinomial weight between each pair of visual words in a topic based on their spatial distance apart in an image set. We call the improved model Spatially Regularized Latent Topic Model (SR-LTM). Experiment result shows that SR-LTM outperforms Spatial-LTM in both unsupervised object discovery accuracy and segmentation accuracy.

Spatially Regularized Latent Topic Model for Simultaneous Object Discovery and Segmentation

Optimization of collaborative resource allocation for mobile edge computing

The purpose of the study is to meet the more needs of the future social development for the Internet of things (IoT) and make IoT better provide more convenience for people and reduce the risk of data leakage in the IoT system. Starting with the IoT edge devices, the centralized and distributed hit rate and average corresponding speed of the edge nodes are studied. Meanwhile, the gateway security of the edge devices designed is discussed to obtain a more reliable gateway. The research results show that the Max‐PSN cache algorithm proposed in this article is superior to the other two algorithms in terms of hit rate and average response speed of centralized and distributed fog systems, which shows the effectiveness of the cache algorithm. The gateway designed shows good randomness through frequency detection and poker detection, which can effectively resist attacks, thus ensuring the security of the gateway. Therefore, the research on the security of the IoT edge devices plays a positive role in reducing the risk of data leakage and the wide application of the IoT system.

Zhihan Lv

Papers

Assessment of Urban Fabric for Smart Cities

The research on optimization of auto supply chain network robust model under macroeconomic fluctuations

Spatially Regularized Latent Topic Model for Simultaneous Object Discovery and Segmentation

Optimization of collaborative resource allocation for mobile edge computing

Security of Internet of Things edge devices