2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)最新文献_第4页

Interdisciplinary praxis in Interactive Visual and Dance: A Case Study of Nu Shu GPS 互动视觉与舞蹈的跨学科实践——以《女树GPS》为例

2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) Pub Date : 2018-07-01 DOI: 10.1109/ICKII.2018.8569086

Yun-Ju Chen, Ping-Yeh Li, Ruey-Sen Chiu, Ya-Kuan Chou

引用次数: 0

Stacked Convolutional Bidirectional LSTM Recurrent Neural Network for Bearing Anomaly Detection in Rotating Machinery Diagnostics 基于堆叠卷积双向LSTM递归神经网络的旋转机械轴承异常检测

2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) Pub Date : 2018-07-01 DOI: 10.1109/ICKII.2018.8569065

Kwangsuk Lee, Jae-Kyeong Kim, Jaehyong Kim, K. Hur, Hagbae Kim

引用次数: 7

Saliency-Guided Deep Framework for Power Consumption Suppressing on Mobile Devices 基于显著性的移动设备功耗抑制深度框架

2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) Pub Date : 2018-07-01 DOI: 10.1109/ICKII.2018.8569207

Jing Su, Yi-Chi Huang, Jia-Li Yin, Bo-Hao Chen, Shenming Qu

{"title":"Saliency-Guided Deep Framework for Power Consumption Suppressing on Mobile Devices","authors":"Jing Su, Yi-Chi Huang, Jia-Li Yin, Bo-Hao Chen, Shenming Qu","doi":"10.1109/ICKII.2018.8569207","DOIUrl":"https://doi.org/10.1109/ICKII.2018.8569207","url":null,"abstract":"With the growing concern for power-hungry on mobile devices, many power constrained contrast enhancement algorithms have been developed in the mobile devices embedded with emissive displays, such as organic light-emitting diodes. However, conventional power constrained contrast enhancement algorithms inevitably degrade the visual aesthetics of images as a trade-off to gain the power-saving for mobile devices. This paper proposes a trainable power-constrained contrast enhancement algorithm based on a saliency-guided deep framework for suppressing the power consumption of an image while preserving its perceptual quality. Our algorithm relies on the fact that imaging features of a displayed image is salient to human visual perception. Hence, we decompose the input image into the imaging features and textual features with a deep convolutional neural networks, and degrade those textual features to achieve the suppression of power consumption. Experimental results demonstrate that our algorithm is able to maintain visual aesthetics of images while reducing the power consumption effectively, outperforming conventional power-constrained contrast enhancement algorithms.","PeriodicalId":170587,"journal":{"name":"2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124360032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

ICKII 2018 Cover Page ICKII 2018封面

2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) Pub Date : 2018-07-01 DOI: 10.1109/ickii.2018.8569156

引用次数: 0

An Examination of Taiwan’s Contemporary Photography Development Traits 台湾当代摄影发展特征检视

2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) Pub Date : 2018-07-01 DOI: 10.1109/ICKII.2018.8569046

Chiu Kuo-Chun

{"title":"An Examination of Taiwan’s Contemporary Photography Development Traits","authors":"Chiu Kuo-Chun","doi":"10.1109/ICKII.2018.8569046","DOIUrl":"https://doi.org/10.1109/ICKII.2018.8569046","url":null,"abstract":"”Contemporary art” refers to art belonging in this era and is a product of western art ideology transformation. Although “Taiwanese contemporary art” does not directly derive from western art, its development has long been under its influence; thus could be interpreted as “Taiwanese Art under the influence of western contemporary art”. The concept of western contemporary art is to transcend past the history and core value that the West has previously been built upon and instead focus on bordering and diverse self-expression [1]. For this reason, when we examine Taiwan’s contemporary art, we should start with the discovery of our inner selves. The past of Taiwan’s photography has seen the correspondence of different stages to that of western photography but under the influence of foreign photographic trends, photographers from different eras are experimenting with different images or to express their individuality; or using photography as foreign methods to incorporate and transfer unique images. This has allowed us to acknowledge the existence of “Taiwan’s contemporary photography”. Through the analysis of content and form as well as in-depth interview of the artists, this study examines how representative works of different eras are affected by foreign or local aesthetics in protruding the existing limits of photography. Finally, the study seeks to unveil the traits of Taiwan’s contemporary photography development. Many photographers choose to continue creating works even under the influences of the new era and despite having experienced different phases. In turn, these photographers use their new creations or ideas to influence the new era. This study does not use historic time as benchmark and instead uses the correspondence and connection of a work of art. As contemporary art critic Arthur C. Danto suggested, rather than historical conclusions and narrations, developing a new form of historic interpretation might be more suitable for contemporary art.","PeriodicalId":170587,"journal":{"name":"2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128825738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Discovering Co-Author Relationship In Wocad Data Using Ontology Visualization 使用本体可视化发现Wocad数据中的合著者关系

2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) Pub Date : 2018-07-01 DOI: 10.1109/ICKII.2018.8569202

Syu-Hong Huang, T. Chang

引用次数: 1

The Research of Applying Interactive Design to A New Experience of Tea Culture 互动设计在茶文化新体验中的应用研究

2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) Pub Date : 2018-07-01 DOI: 10.1109/ICKII.2018.8569098

Yi-Chieh Chen, Chao-Ming Wang

引用次数: 0

An Adaptive Cancer Prognosis Framework for Cholangiocarcinoma based on Machine Learning Techniques 基于机器学习技术的胆管癌自适应预后框架

2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) Pub Date : 2018-07-01 DOI: 10.1109/ICKII.2018.8569049

Supanuth Ongsuk, Sakan Komolvatin, Intouch Kunakorntum, P. Phunchongharn, Sumet Amonyingchareon, Woranich Hinthong

{"title":"An Adaptive Cancer Prognosis Framework for Cholangiocarcinoma based on Machine Learning Techniques","authors":"Supanuth Ongsuk, Sakan Komolvatin, Intouch Kunakorntum, P. Phunchongharn, Sumet Amonyingchareon, Woranich Hinthong","doi":"10.1109/ICKII.2018.8569049","DOIUrl":"https://doi.org/10.1109/ICKII.2018.8569049","url":null,"abstract":"From the observation in 2014, cancer was the number one cause of deaths in Thailand and has been continuously increased until present. Cholangiocarcinoma is the subset of liver cancer, which is one of the top five cancers founded in Thailand. To reduce the risk of cholangiocarcinoma in patients, we need to find the factors of causing cancer and predict the probability of cancer earlier. However, the probability of cholangiocarcinoma is less than 1%. This causes imbalance classification problem in machine learning. In this paper, we propose an adaptive cancer prognosis framework for cholangiocarcinoma based on machine learning techniques, namely “CanWiser”. CanWiser is used to automatically learn the patient dataset (e.g., demographics and laboratory test results), pre-process data, oversample data to solve the imbalance problem using SMOTE, generate the prediction models using classification of machine learning techniques (i.e., support vector machine, decision tree, naïve Bayes, and random forest), and predict the probability of cholangiocarcinoma. The proposed framework can generate the prediction model providing the sensitivity 75%, specificity 83.41%, and accuracy 83.34%. CanWiser also provides the personalized recommendation for patients to reduce the risk of cholangiocarcinoma. Moreover, our proposed framework can adaptively learn and generate the models, which can fit for the new dataset.","PeriodicalId":170587,"journal":{"name":"2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115456275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A study on the present-situation analysis and feasible path of the elderly TV programs in mainland China 中国大陆老年电视节目现状分析及可行路径研究

2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) Pub Date : 2018-07-01 DOI: 10.1109/ICKII.2018.8569082

Yueting Xiang, H. Hsieh

引用次数: 1

Estimating the Intrinsic Dimensionality of Hyperspectral Remote Sensing Imagery with Rare Features 稀有特征高光谱遥感影像的固有维数估计

2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII) Pub Date : 2018-07-01 DOI: 10.1109/ICKII.2018.8569176

Xin Luo, Jia Wang, Huijie Zhang, Xiao Wang

引用次数: 0