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Advances in Intelligent Systems and Computing

Part of the Smart Innovation, Systems and Technologies Book Series (volume 268)

Editors: Zhang, Jie-Fang; Chen, Chien-Ming; Chu, Shu-Chuan; Kountchev, Roumen

DOI: 10.1007/978-981-16-8048-9

ISBN: 978-981-16-8047-2

Publisher: Springer Nature Singapore - Springer Journals

Feb 22, 2022

1 - 10 of 37 Chapters

LitStream

An Integrated System for Unbiased Parkinson’s Disease Detection from Handwritten Drawings

Ali, Liaqat; Zhu, Ce; Zhao, Hengling; Zhang, Zhonghao; Liu, Yipeng

Pages: 3 –13

[Current Parkinson’s disease (PD) diagnosis relies on a series of hospital-based clinical examinations. To enable early PD detection at home, recognition from hand-written drawings is one way for automated PD detection system. However, existing methods have two main problems i.e., biasedness and...
LitStream

Improving Supply Chain Agility to Reduce Enterprise Risk Based on QFD-MADM

Yu, Ru-Yue; Hsu, Chih-Hung; Sun, An-Ching

Pages: 15 –23

[In the context of economic globalization, many enterprises will encounter more and more risk barriers in the process of development, from small losses to large failures. Therefore, the importance of enterprise agility is becoming increasingly prominent. Taking enterprise A as an example, this...
LitStream

A CNN-Based Method for AAPL Stock Price Trend Prediction Using Historical Data and Technical Indicators

Gong, Yuxiao; Ming-Tai Wu, Jimmy; Li, Zhongcui; Liu, Shuo; Sun, Lingyun; Chen, Chien-Ming

Pages: 25 –33

[The stock price is a non-stationary time series, so it is challenging to predict the stock price. Some statistics and machine learning research hope to solve this problem, but these methods require complex feature engineering. Deep learning without feature extraction has brought a breakthrough...
LitStream

Research on Supply Chain Agility Based on Bullwhip Effect

Li, Ming-Ge; Hsub, Chih-Hung; Liuc, Jun-Wei

Pages: 35 –42

[The competition in the twenty-first century is not the competition between enterprises, but the competition in the supply chain. “Bullwhip effect” is a common phenomenon in supply chain management. With the development of economy and the intensification of competition, the structure of supply...
LitStream

Using Agility to Reduce the Bullwhip Effect of Supply Chains

Zeng, Jun-Yi; Hsu, Chih-Hung; Chen, Xiu

Pages: 43 –51

[With the intensification of market competition and the improvement of environmental awareness, sustainable development has become the theme of the development of the global society in the twenty-first century. More and more people are paying attention to environmental friendliness and...
LitStream

Mining Frequency-Utility Patterns from a Big Data Environment

Li, Ranran; Ming-Tai Wu, Jimmy; Wei, Min; Wang, Ke; Teng, Qian

Pages: 53 –61

[Both frequent itemset mining (FIM) and high utility itemset mining (HUIM), which have been widely discussed before, consider the frequency or utility of the project separately to find the information required by users. However, this information is not complete as merchants need to find the...
LitStream

The Association Between Related-Party Transactions and Tax Planning

Hung, Wen-Jye; Chiang, Tsui-Lin; Wang, Ya-Min; Luo, Qi

Pages: 63 –75

[Due to the emerging of anti-tax avoidance, the act of companies arranging tax avoidance is being examined. Related party transaction is complicated and nontransparent; therefore, companies often use it to undergo inappropriate interest arrangement to ease tax burden. This research examines the...
LitStream

Mind-Media System: A Consumer-Grade Brain-Computer Interface System for Media Applications

Liu, Chang; Zhou, Yijie; Yu, Dingguo

Pages: 77 –82

[Brain science has made many achievements in the media area. However, the brain-computer interface (BCI) is not yet available to the general public because of the cost of the equipment. This paper investigates a consumer-grade brain-computer interface system for media applications, which only...
LitStream

A Cooperative Evolution Framework Based on Fish Migration Optimization

Li, Wenqi; Chu, Shu-Chuan; Pan, Jeng-Shyang

Pages: 85 –94

[The Fish Migration Optimization (FMO) method was inspired by the fish swim and migration behaviors and has been proofed to be a brilliant algorithm for solving numerical optimization problems. However, FMO still has the problems of premature convergence, search stagnation and easy to fall into...
LitStream

Improving K-Means with Harris Hawks Optimization Algorithm

Zhang, Li-Gang; Xue, Xingsi; Chu, Shu-Chuan

Pages: 95 –104

[Data clustering aims at partitioning the data set into several disjoint segments, where the data inside the same segment are closely related, and the ones between two different segments are not. K-means is a popular data clustering algorithm, but it is easy to fall into the local optimum. To...

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