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Visual commonsense reasoning with directional visual connections Research Articles

Yahong Han, Aming Wu, Linchao Zhu, Yi Yang,yahong@tju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5,   Pages 615-766 doi: 10.1631/FITEE.2000722

Abstract: To boost research into cognition-level visual understanding, i.e., making an accurate inference based on a thorough understanding of visual details, (VCR) has been proposed. Compared with traditional visual question answering which requires models to select correct answers, VCR requires models to select not only the correct answers, but also the correct rationales. Recent research into human cognition has indicated that brain function or cognition can be considered as a global and dynamic integration of local neuron connectivity, which is helpful in solving specific cognition tasks. Inspired by this idea, we propose a to achieve VCR by dynamically reorganizing the that is contextualized using the meaning of questions and answers and leveraging the directional information to enhance the reasoning ability. Specifically, we first develop a GraphVLAD module to capture to fully model visual content correlations. Then, a contextualization process is proposed to fuse sentence representations with visual neuron representations. Finally, based on the output of , we propose to infer answers and rationales, which includes a ReasonVLAD module. Experimental results on the VCR dataset and visualization analysis demonstrate the effectiveness of our method.

Keywords： 视觉常识推理；有向连接网络；视觉神经元连接；情景化连接；有向连接    

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Study on dynamic responses of connectors of modular offshore platform

He Xiaohui,Wang Jingquan,Sun Hongcai,Li Feng

Strategic Study of CAE 2010, Volume 12, Issue 11,   Pages 98-104

Abstract:

A rigid module rigid connector(RMRC) model is used to study the dynamic characteristics of connectors of modular offshore platform. It is assumed that the modular offshore platform is a whole structure and the connector loads are simplied as the corresponding section loads is deduced using the Three-Dimensional Potential Theory by means of the assumption—High Encounter Frequency with Low Sailing Speed. 2 sea state cases, 4 structure sizes, and 7 wave angle connectors are calculated gaining the dynamic responses and sea states of connectors,and the regularity and relationship between configuration sizes and wave angles which is useful to design and utilization of connectors.

Keywords： modular offshore platform     connector     dynamic responses    

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The general planning scenarios of electromagnetic rail launch system

Zhai Lipeng, Feng Junwen, Wang Huating, Bai Ju

Strategic Study of CAE 2008, Volume 10, Issue 8,   Pages 45-50

Abstract:

In the analysis of the electromagnetic rail launch system.,this paper discusses the general developmental strategy of electromagnetic rail launch system based on the scenario planning theory. Through analyzing the world current situation and the key technical variables of electromagnetic orbit launch system, the paper conceives the three developmental strategy models of future electromagnetic rail launch system and proposes the focus of development strategy.

Keywords： electromagnetic rail launch system     scenario planning     development strategy    

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Building a Modern Energy System in the Yangtze River Delta

Weng Shilie, Huang Zhen, Yu Lijun, Xie Xiaomin, You Ting, Zhang Tingting

Strategic Study of CAE 2021, Volume 23, Issue 1,   Pages 42-51 doi: 10.15302/J-SSCAE-2021.01.008

Abstract:

The Yangtze River Delta is one of the most economically active, open, and innovative regions in China. Further promoting energy revolution, and building a clean, low-carbon, safe, and efficient energy system to promote the coordinated development of the economy, energy, and ecological environment in the Yangtze River Delta is significant to the national strategy of “Integrated Regional Development of the Yangtze River Delta.” This study proposes the idea of building a modern energy system in the Yangtze River Delta based on the local characteristics. The main features, key issues, and overall integration of the system are further discussed. Meanwhile, the economic, environmental, and social benefits brought by the modern energy system to the Yangtze River Delta are predicted. Furthermore, we propose that a unified energy leading agency should be established to build a demonstration area for energy integration; energy system reforms should be deepened to cultivate the energy market; the Internet Plus Smart Energy strategy should be implemented to promote high-quality energy development; and energy technology venture capital funds should be established.

Keywords： integrated development of the Yangtze River Delta     modern energy system     scenario analysis     energy systems     energy information management center    

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A novel context-aware RPL algorithm based on a triangle module operator Research Article

Yanan Cao, Hao Yuan,caoyanan@tjnu.edu.cn,yuanhao19880520@163.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12,   Pages 1551-1684 doi: 10.1631/FITEE.2000658

Abstract: For the use in low-power and lossy networks (LLNs) under complex and harsh communication conditions, the routing protocol for LLNs (RPL) standardized by the Internet Engineering Task Force is specially designed. To improve the performance of LLNs, we propose a novel RPL algorithm based on a (CAR-TMO). A novel composite routing metric (CA-RM) is designed, which synchronously evaluates the residual energy index, buffer occupancy ratio of a node, expected transmission count (ETX), delay, and hop count from a candidate parent to the root. CA-RM considers the residual energy index and buffer occupancy ratio of the candidate parent and its preferred parent in a recursive manner to reduce the effect of upstream parents, since farther paths are considered. CA-RM comprehensively uses the sum, mean, and standard deviation values of ETX and delay of links in a path to ensure a better performance. Moreover, in CAR-TMO, the of each routing metric is designed. Then, a comprehensive is constructed based on a , the of each routing metric, and a comprehensive objective function. A novel mechanism for calculating the node rank and the mechanisms for preferred parent selection are proposed. Finally, theoretical analysis and simulation results show that CAR-TMO outperforms several state-of-the-art RPL algorithms in terms of the packet delivery ratio and energy efficiency.

Keywords： 三角模算子；隶属度函数；情景感知；低功耗有损网络路由协议（RPL）；路由度量    

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Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition Research Articles

Supaporn LONAPALAWONG, Jiangzhe YAN, Jiayu LI, Deshi YE, Wei CHEN, Yong TANG, Yanhao HUANG, Can WANG,11821132@zju.edu.cn,wcan@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 382-397 doi: 10.1631/FITEE.2000596

Abstract: Analyzing under various circumstances is generally regarded as a challenging problem. Robustness against failure is one of the essential properties of large-scale dynamic network systems such as s, transportation systems, communication systems, and computer networks. Due to the network diversity and complexity, many topological features have been proposed to capture specific system properties. For s, a popular process for improving a network’s structural robustness is via the topology design. However, most of existing methods focus on localized network metrics, such as node connectivity and edge connectivity, which do not encompass a global perspective of cascading propagation in a . In this paper, we use an informative global metric because it is sensitive to the connectedness in a broader spectrum of graphs. Our process involves decreasing the in a by minimizing the increase in its . We propose a topology-based greedy strategy to optimize the robustness of the . To evaluate the , we calculate the using MATCASC to simulate cascading line outages in s. Experimental results illustrate that our proposed method outperforms existing techniques.

Keywords： Network robustness     Cascading failure     Average propagation     Algebraic connectivity     Power grid    

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Changes of China’s Edible Oil Security Strategies: Domestic Condition and International Situation

Ma Wenjie

Strategic Study of CAE 2016, Volume 18, Issue 1,   Pages 42-47 doi: 10.15302/J-SSCAE-2016.01.006

Abstract:

The fact that edible oil materials have become the primary agricultural products in China with the largest dependency on international market is the main reason for the trade deficit of international agricultural products. The large import of vegetable oil materials has a big effect on national grain and food security, resident consumption and even national economy. On account of the new grain security strategy, the growth space of our national edible oil materials is limited, the production potential is great but hard to become real production, and the future consumption will increase. Under the new normal of the large import of vegetable oil materials, global edible oil production potential is great, China has the ability to obtain a stable supply of edible oil materials from the international market, and the external environment of edible oil material supply security is complicated. According to the new domestic conditions and international situation, the paper offers the following new security strategies for edible oil: maintaining capacity, keeping benchmark, importing initiatively and healthy consumption.

Keywords： edible oil     domestic condition     international situation     production potential     strategy change    

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Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting Article

Jia Shi, Jinchun Song, Bin Song, Wen F. Lu

Engineering 2019, Volume 5, Issue 3,   Pages 586-593 doi: 10.1016/j.eng.2018.12.009

Abstract:

Drop-on-demand (DOD) bioprinting has been widely used in tissue engineering due to its highthroughput efficiency and cost effectiveness. However, this type of bioprinting involves challenges such as satellite generation, too-large droplet generation, and too-low droplet speed. These challenges reduce the stability and precision of DOD printing, disorder cell arrays, and hence generate further structural errors. In this paper, a multi-objective optimization (MOO) design method for DOD printing parameters through fully connected neural networks (FCNNs) is proposed in order to solve these challenges. The MOO problem comprises two objective functions: to develop the satellite formation model with FCNNs; and to decrease droplet diameter and increase droplet speed. A hybrid multi-subgradient descent bundle method with an adaptive learning rate algorithm (HMSGDBA), which combines the multisubgradient descent bundle (MSGDB) method with Adam algorithm, is introduced in order to search for the Pareto-optimal set for the MOO problem. The superiority of HMSGDBA is demonstrated through comparative studies with the MSGDB method. The experimental results show that a single droplet can be printed stably and the droplet speed can be increased from 0.88 to 2.08 m·s-1 after optimization with the proposed method. The proposed method can improve both printing precision and stability, and is useful in realizing precise cell arrays and complex biological functions. Furthermore, it can be used to obtain guidelines for the setup of cell-printing experimental platforms.

Keywords： Drop-on-demand printing     Inkjet printing     Gradient descent multi-objective optimization     Fully connected neural networks    

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Analysis of Sound Radiation of Two ConnectedElastic Rectangular Enclosure

Yao Haoping,Zhang Jianrun,Chen Nan,Sun Qinghong

Strategic Study of CAE 2007, Volume 9, Issue 3,   Pages 41-46

Abstract:

The model of sound radiated from two connected rectangular enclosures consisting of one elastically supported flexible panel and five rigid panels is deduced by using Hamiltonian function and Rayleigh -Ritz method in this paper. By means of artificial springs along connected points of flexible panels, this model allows the consideration of a wide variety structure joint conditions. Numerical results on the radiation of sound are presented. These results are intended to investigate two main issues:one is that the direct force affects the radiation of sound more than the indirect force does, the other is that the translational stiffness at connected points affects the radiation of sound more than the rotational stiffness does.

Keywords： the radiation of sound     connection     rectangular enclosure     coupling    

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FrepJoin: an efficient partition-based algorithm for edit similarity join Article

Ji-zhou LUO, Sheng-fei SHI, Hong-zhi WANG, Jian-zhong LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1499-1510 doi: 10.1631/FITEE.1601347

Abstract: String similarity join (SSJ) is essential for many applications where near-duplicate objects need to be found. This paper targets SSJ with edit distance constraints. The existing algorithms usually adopt the filter-andrefine framework. They cannot catch the dissimilarity between string subsets, and do not fully exploit the statistics such as the frequencies of characters. We investigate to develop a partition-based algorithm by using such statistics. The frequency vectors are used to partition datasets into data chunks with dissimilarity between them being caught easily. A novel algorithm is designed to accelerate SSJ via the partitioned data. A new filter is proposed to leverage the statistics to avoid computing edit distances for a noticeable proportion of candidate pairs which survive the existing filters. Our algorithm outperforms alternative methods notably on real datasets.

Keywords： String similarity join     Edit distance     Filter and refine     Data partition     Combined frequency vectors    

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The Dynamic Functional Network Connectivity Analysis Framework

Zening Fu, Yuhui Du, Vince D. Calhoun

Engineering 2019, Volume 5, Issue 2,   Pages 190-193 doi: 10.1016/j.eng.2018.10.001

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Filter-cluster attention based recursive network for low-light enhancement Research Article

Zhixiong HUANG, Jinjiang LI, Zhen HUA, Linwei FAN,hzxcyanwind@163.com,lijinjiang@gmail.com-

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 7,   Pages 1028-1044 doi: 10.1631/FITEE.2200344

Abstract: The poor quality of images recorded in low-light environments affects their further applications. To improve the visibility of low-light images, we propose a recurrent network based on (FCA), the main body of which consists of three units: difference concern, gate recurrent, and iterative residual. The network performs multi-stage recursive learning on low-light images, and then extracts deeper feature information. To compute more accurate dependence, we design a novel FCA that focuses on the saliency of feature channels. FCA and self-attention are used to highlight the low-light regions and important channels of the feature. We also design a (DenCP) to extract the color features of the low-light inversion image, to compensate for the loss of the image’s color information. Experimental results on six public datasets show that our method has outstanding performance in subjective and quantitative comparisons.

Keywords： Low-light enhancement     Filter-cluster attention     Dense connection pyramid     Recursive network    

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Neural Mechanisms of Mental Fatigue Revisited: New Insights from the Brain Connectome Review

Peng Qi, Hua Ru, Lingyun Gao, Xiaobing Zhang, Tianshu Zhou, Yu Tian, Nitish Thakor, Anastasios Bezerianos, Jinsong Li, Yu Sun

Engineering 2019, Volume 5, Issue 2,   Pages 276-286 doi: 10.1016/j.eng.2018.11.025

Abstract:

Maintaining sustained attention during a prolonged cognitive task often comes at a cost: high levels of mental fatigue. Heuristically, mental fatigue refers to a feeling of tiredness or exhaustion, and a disengagement from the task at hand; it manifests as impaired cognitive and behavioral performance. In order to effectively reduce the undesirable yet preventable consequences of mental fatigue in many real-world workspaces, a better understanding of the underlying neural mechanisms is needed, and continuous efforts have been devoted to this topic. In comparison with conventional univariate approaches, which are widely utilized in fatigue studies, convergent evidence has shown that multivariate functional connectivity analysis may lead to richer information about mental fatigue. In fact, mental fatigue is increasingly thought to be related to the deviated reorganization of functional connectivity among brain regions in recent studies. In addition, graph theoretical analysis has shed new light on quantitatively assessing the reorganization of the brain functional networks that are modulated by mental fatigue. This review article begins with a brief introduction to neuroimaging studies on mental fatigue and the brain connectome, followed by a thorough overview of connectome studies on mental fatigue. Although only a limited number of studies have been published
thus far, it is believed that the brain connectome can be a useful approach not only for the elucidation of underlying neural mechanisms in the nascent field of neuroergonomics, but also for the automatic detection and classification of mental fatigue in order to address the prevention of fatigue-related human error in the near future.

Keywords： Mental fatigue     Functional connectivity     Graph theoretical analysis     Brain network    

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Networking Architecture and Development Trend of Industrial Internet

Yu Xiaohui, Zhang Hengsheng, Peng Yan, Li Dong

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 79-84 doi: 10.15302/J-SSCAE-2018.04.013

Abstract:

As one of the three main function aspects of the industrial Internet, networks provide infrastructure for the all-round interconnection of industrial elements. The existing "two-layer and three-level" industrial network is difficult to meet the development needs of the new models and services of the industrial Internet. The emerging network technologies can promote the evolution of the network architecture. The intra-factory network is developing in directions of integration, openness, and flexibility. The services of the extra-factory network are universal, refined, and flexible. At the end, the paper describes the networking framework of the industrial Internet, and suggests that industrial enterprises build intra-factory networks according to requirements for business, real-time performance, transmission methods, etc., and build extra-factory external networks by selecting three dedicated lines and one networking mode according to development requirements of different services.

Keywords： intra-factory network     extra-factory network     openness     integration    

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Japan’s 10th Technology Foresight: Insights and Enlightenment

Sun Shengkai,Wei Chang,Song Chao,Pei Yu

Strategic Study of CAE 2017, Volume 19, Issue 1,   Pages 133-142 doi: 10.15302/J-SSCAE-2017.01.019

Abstract:

Technology foresight is a systemic national science and technology policy in Japan, where it has been consistently and effectively implemented. To date, Japan has implemented technology foresight research 10 times, thus meaningfully promoting research and development in science and technology in Japan, the technological innovation and management abilities of Japanese companies, and a deep understanding of the development law of technology. This paper introduces the methodology, modes, implementation system, and survey process of Japan's 10th technology foresight; analyzes its experiences and problems; and provides reference and guidance for technology foresight in China.

Keywords： Japan     technology foresight     problem-solution mode     scenario planning     Delphi method    

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Title Author Date Type Operation

Visual commonsense reasoning with directional visual connections

Yahong Han, Aming Wu, Linchao Zhu, Yi Yang,yahong@tju.edu.cn

Journal Article

Study on dynamic responses of connectors of modular offshore platform

He Xiaohui,Wang Jingquan,Sun Hongcai,Li Feng

Journal Article

The general planning scenarios of electromagnetic rail launch system

Zhai Lipeng, Feng Junwen, Wang Huating, Bai Ju

Journal Article

Building a Modern Energy System in the Yangtze River Delta

Weng Shilie, Huang Zhen, Yu Lijun, Xie Xiaomin, You Ting, Zhang Tingting

Journal Article

A novel context-aware RPL algorithm based on a triangle module operator

Yanan Cao, Hao Yuan,caoyanan@tjnu.edu.cn,yuanhao19880520@163.com

Journal Article

Reducing power grid cascading failure propagation by minimizing algebraic connectivity in edge addition

Supaporn LONAPALAWONG, Jiangzhe YAN, Jiayu LI, Deshi YE, Wei CHEN, Yong TANG, Yanhao HUANG, Can WANG,11821132@zju.edu.cn,wcan@zju.edu.cn

Journal Article

Changes of China’s Edible Oil Security Strategies: Domestic Condition and International Situation

Ma Wenjie

Journal Article

Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting

Jia Shi, Jinchun Song, Bin Song, Wen F. Lu

Journal Article

Analysis of Sound Radiation of Two ConnectedElastic Rectangular Enclosure

Yao Haoping,Zhang Jianrun,Chen Nan,Sun Qinghong

Journal Article

FrepJoin: an efficient partition-based algorithm for edit similarity join

Ji-zhou LUO, Sheng-fei SHI, Hong-zhi WANG, Jian-zhong LI

Journal Article

The Dynamic Functional Network Connectivity Analysis Framework

Zening Fu, Yuhui Du, Vince D. Calhoun

Journal Article

Filter-cluster attention based recursive network for low-light enhancement

Zhixiong HUANG, Jinjiang LI, Zhen HUA, Linwei FAN,hzxcyanwind@163.com,lijinjiang@gmail.com-

Journal Article

Neural Mechanisms of Mental Fatigue Revisited: New Insights from the Brain Connectome

Peng Qi, Hua Ru, Lingyun Gao, Xiaobing Zhang, Tianshu Zhou, Yu Tian, Nitish Thakor, Anastasios Bezerianos, Jinsong Li, Yu Sun

Journal Article

Networking Architecture and Development Trend of Industrial Internet

Yu Xiaohui, Zhang Hengsheng, Peng Yan, Li Dong

Journal Article

Japan’s 10th Technology Foresight: Insights and Enlightenment

Sun Shengkai,Wei Chang,Song Chao,Pei Yu

Journal Article