共查询到20条相似文献，搜索用时 578 毫秒
1.
《中国科学院院刊(英文版)》2007,(3)
China's first computer network in which communications are secured with quantum cryptography has been successfully tested in Beijing. 相似文献
2.
Although previous research indicates a variety of facilitators of knowledge transfer, many firms still suffer from knowledge transfer difficulties. This study explores the relational antecedents of knowledge transfer by integrating the motivation–opportunity–ability framework with a social network approach, which emphasizes the relations among people rather than their attributes. To rigorously validate causal relations among network variables, the social networks of employees in a research and development department were surveyed twice in 6 months. A regression analysis with 76 × 76 networks using a multiple regression quadratic assignment procedure showed that opportunity and motivation were the first- and second-most influential factors for knowledge transfer, respectively. There was a marginal, but statistically significant effect for ability. The creation of a working environment in which knowledge transfer can easily take place, and motivating competent employees to transfer their knowledge, are critical to successful knowledge transfer. 相似文献
3.
《中国科学院院刊(英文版)》2007,(4)
A total of 36 field research stations for monitoringvarious ecosystems have been established in China and their work is leading the way for the world’s long-term ecosystem 相似文献
4.
《Information processing & management》2023,60(3):103280
Image and text matching bridges visual and textual modality differences and plays a considerable role in cross-modal retrieval. Much progress has been achieved through semantic representation and alignment. However, the distribution of multimedia data is severely unbalanced and contains many low-frequency occurrences, which are often ignored and cause performance degradation, i.e., the long-tail effect. In this work, we propose a novel rare-aware attention network (RAAN), which explores and exploits textual rare content for tackling the long-tail effect of image and text matching. Specifically, we first design a rare-aware mining module, which contains global prior information construction and rare fragment detector for modeling the characteristic of rare content. Then, the rare attention matching utilizes prior information as attention to guide the representation enhancement of rare content and introduces the rareness representation to strengthen the similarity calculation. Finally, we design prior information loss to optimize the model together with the triplet loss. We perform quantitative and qualitative experiments on two large-scale databases and achieve leading performance. In particular, we conduct 0-shot test for rare content and improve rSum by 21.0 and 41.5 on Flickr30K (155,000 image and text pairs) and MSCOCO (616,435 image and text pairs), demonstrating the effectiveness of the proposed method for the long-tail effect. 相似文献
5.
SONG Jianlan 《中国科学院院刊(英文版)》2009,23(2):75-79
1 March, 2009 witnesses the solemn, spectacular and somewhat sad ending of the lunar flight of Chang＇e-1. After orbiting the Moon for 494 days,the first China-made lunar orbiter, named after a beautiful fairy in Chinese mythology, culminates her perfect journey with a last dance, a controlled crash to lunar surface at 1.50°S 52.36°E at 16：13 GMT＋8. 相似文献
6.
David P. McIntyre Asda Chintakananda 《The Journal of High Technology Management Research》2013,24(1):42-52
While real options logic has been applied to many managerial initiatives in recent years, the effectiveness of real options in the context of new product releases remains ambiguous due to the dueling nature of growth options and deferral options, and the failure to factor these contexts to the theory. Focusing on products influenced by network effects, we propose that value of product release from a real options perspective is conditioned by the level of network rivalry and the strength of network effects (i.e., network intensity) in a given context. These ideas are formalized in a conceptual framework and a series of research propositions, and implications for theory and practice at the intersection of network effects and real options are offered. 相似文献
7.
This literature review highlights some Social Network Analysis (SNA) concepts applicable to the study of organizational knowledge and, more particularly, to knowledge heterogeneity. Knowledge being all at the same time decentralized and distributed, knowing up to what point knowledge can be heterogeneous or homogeneous across organizational units becomes as important as the question of knowing how to structure the organization. SNA applied to knowledge management thus seems a stimulant for future research in the fields of management. 相似文献
8.
This paper is concerned with the decentralized event-triggered H∞ control for switched systems subject to network communication delay and exogenous disturbance. Depending on different physical properties, the system state is divided into multiple communication channels and decentralized sensors are employed to collect signals on these channels. Furthermore, decentralized event-triggering mechanisms (DETMs) with a switching structure are proposed to determine whether the sampled data needs to be transmitted. In particular, an improved data buffer is presented which can guarantee more timely utilization of the sampled data. Then, with the proposed DETMs and data buffer, a time-delay closed-loop switched system is developed. After that, sufficient conditions are presented to guarantee the H∞ performance of the closed-loop switched system by utilizing the average dwell time and piecewise Lyapunov functional method. Since the event-triggered instants and the switching instants may stagger with each other, the influence of their coupling on the H∞ performance analysis is systematically discussed. Subsequently, sufficient conditions for designing the event-triggered state feedback controller gains are provided. Finally, numerical simulations are given to verify the effectiveness of the proposed method. 相似文献
9.
The findings of our experiments showed that social network sites (SNSs) such as Google Plus, Facebook, and Twitter, have the ability to acquire knowledge about their users’ movements not only within SNSs but also beyond SNS boundaries, particularly among websites that embedded SNS widgets such as Google’s Plus One button, Facebook’s Like button, and Twitter’s Tweet button. In this paper, we analysed the privacy implication of such a practice from a moral perspective by applying Helen Nissenbaum’s decision heuristic derived from her contextual integrity framework in order to answer the question of whether or not an online user’s privacy is being violated by this practice. 相似文献
10.
《Information processing & management》2023,60(4):103405
Various keyword network methods are used to map scientific fields, but few studies have considered the semantic roles of keywords in such networks. This study proposes a term function–aware keyword citation network to fill this research limitation. Specifically, we first used a term function identification method to identify research questions and methods from scientific articles. Then, we constructed a question-method term citation network to represent the correlation structure of keywords. Next, we explored the topology characteristics, question-method bipartite network, and knowledge community structure of the generated network to validate its superiority in science mapping analysis. A dataset of 299,567 conference proceedings collected from the Association for Computing Machinery (ACM) digital library is used to evaluate the effectiveness of our methods. The results show that the term function identification model based on Bidirectional Encoder Representations from Transformers (BERT) achieves a score of 0.90 F1. And the question-method term citation network outperforms existing keyword citation methods in revealing association patterns between scientific knowledge and improving the interpretability of the knowledge structure of the computing field. We believe that our work expands the methodology of keyword citation network and science mapping analysis and provides guidance for considering the term function in various scenarios. 相似文献
11.
We present the mathematical model and an artificial neural network method for calculating the buckling load of a beam column with different end conditions. A trial solution of the beam column equation is written as a sum of two parts, in which first part satisfies the boundary conditions and the second part represents the feed forward neural network containing adjustable parameters, weights and biases. We prepared the Error function by using the beam column equation and its boundary conditions, which is used in the back propagation method with deflection term to update the network parameters. It is found that the artificial neural network method is capable for calculating deflection of a beam column as a part of the training process. To ascertain the soundness, efficiency and accuracy of the proposed method the results are compared to the Euler critical load. 相似文献
12.
《Information processing & management》2023,60(1):103154
Image–text matching is a crucial branch in multimedia retrieval which relies on learning inter-modal correspondences. Most existing methods focus on global or local correspondence and fail to explore fine-grained global–local alignment. Moreover, the issue of how to infer more accurate similarity scores remains unresolved. In this study, we propose a novel unifying knowledge iterative dissemination and relational reconstruction (KIDRR) network for image–text matching. Particularly, the knowledge graph iterative dissemination module is designed to iteratively broadcast global semantic knowledge, enabling relevant nodes to be associated, resulting in fine-grained intra-modal correlations and features. Hence, vector-based similarity representations are learned from multiple perspectives to model multi-level alignments comprehensively. The relation graph reconstruction module is further developed to enhance cross-modal correspondences by constructing similarity relation graphs and adaptively reconstructing them. We conducted experiments on the datasets Flickr30K and MSCOCO, which have 31,783 and 123,287 images, respectively. Experiments show that KIDRR achieves improvements of nearly 2.2% and 1.6% relative to Recall@1 on Flicr30K and MSCOCO, respectively, compared to the current state-of-the-art baselines. 相似文献
13.
《Information processing & management》2022,59(4):102952
Either traditional learning methods or deep learning methods have been widely applied for the early Alzheimer’s disease (AD) diagnosis, but these methods often suffer from the issue of training set bias and have no interpretability. To address these issues, this paper proposes a two-phase framework to iteratively assign weights to samples and features. Specifically, the first phase automatically distinguishes clean samples from training samples. Training samples are regarded as noisy data and thus should be assigned different weights for penalty, while clean samples are of high quality and thus are used to learn the feature weights. In the second phase, our method iteratively assigns sample weights to the training samples and feature weights to the clean samples. Moreover, their updates are iterative so that the proposed framework deals with the training set bias issue as well as contains interpretability on both samples and features. Experimental results on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset show that our method achieves the best classification performance in terms of binary classification tasks and has better interpretability, compared to the state-of-the-art methods. 相似文献
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The impact of network ties strength and enterprises＇ learning capability on the technological innovation 
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下载免费PDF全文 《科研管理》2012,33(2)
网络关系强度作为表征企业网络的重要变量之一,理论界关于其对企业技术创新的影响尚存在较大的争议。本文以企业规模和研发投入作为控制变量,构建了网络关系强度、企业学习能力和技术创新三者之间的关系理论模型,并以申报广东省高新技术企业和民营科技型企业的企业为调查对象进行了实证检验。研究发现：（1）企业网络关系强度和学习能力都对技术创新存在着显著的正向影响。（2）企业学习能力在网络关系强度和技术创新之间起到不完全中介作用。（3）在小规模企业中,这三者之间并不存在相互影响的关系。本研究进一步深化了前人的研究结论,对组织网络及技术创新的相关研究都有学术贡献。 相似文献
16.
《Information processing & management》2020,57(6):102352
Intracerebral hemorrhage (ICH) is the most serious type of stroke, which results in a high disability or mortality rate. Therefore, accurate and rapid ICH region segmentation is of great significance for clinical diagnosis and treatment of ICH. In this paper, we focus on deep neural networks to automatically segment ICH regions. Firstly, we propose an encoder-decoder convolutional neural network (ED-Net) architecture to comprehensively utilizing both the low-level and high-level semantic information. Specifically, the encoder is used to extract multi-scale semantic feature information, while the decoder integrates them to form a unified ICH feature representation. Secondly, we introduce a synthetic loss function by paying more attention to the small ICH regions to overcome the data imbalanced problem. Thirdly, to improve the clinical adaptability of the proposed model, we collect 480 patient cases with ICH from four hospitals to construct a multi-center dataset, in which each case contains the first and review CT scans. In particular, CT scans of different patients are diverse, which greatly increases the difficulty of segmentation. Finally, we evaluate ED-Net on the multi-center ICH clinical dataset from different model parameters and different loss functions. We also compare the results of ED-Net with nine state-of-the-art methods in the literature. Both quantitative and visual results have shown that ED-Net outperforms other methods by providing more accurate and stable performance. 相似文献
17.
《Information processing & management》2022,59(5):103055
In recent years, Startups are new concepts in the tech world and are meant to be temporary organizations designed to find a repeatable, scalable business model, while offering a new solution to the problem. What matters most about the success of startups is the right and reasonable targeting. This is something that is usually overlooked by a large percentage of such businesses, causing them to fail within a short period of time. Production of new product or service delivery is not possible without planning. The purpose of this study is to look deeper into how startups should identify and prioritize issues and problems when launching a new product or service. First, startups and subject-related businesses reviewed and then novel and emerging issues, including the status of data mining on startups' performance, the topics of Business Intelligence (BI), innovation and networked learning, and also their role in startups business discussed. Results showed that BI can provide a competitive advantage to startups. With this in mind, these businesses may adapt to the diverse needs of customers in the market and continue to survive, as well as gain greater market share over their competitors. Further, employing technology tools helps companies make their data available seamlessly or securely and by analyzing it, giving managers a better way of making decisions. According to the hypotheses, it was found that BI as a powerful tool in the field of information technology, creates a competitive advantage and it is necessary for start-up managers to accept this tool. 相似文献
18.
Kjersten Bunker Whittington 《Research Policy》2018,47(2):511-526
Collaborative relationships are an important anchor of innovative activity, and rates of collaboration in science are on the rise. This research addresses differences in men’s and women’s collaborative positioning and collaborator characteristics in science, and whether network influences on scientists’ future productivity may be contingent on gender. Utilizing co-inventor network relations that span thirty years of global life science patenting across sectors, geographic locations, and technological background, I present trends of men’s and women’s involvement in patenting and their collaborative characteristics across time. Amidst some network similarities, women are less likely to connect otherwise unconnected inventors (brokerage) and have greater status-asymmetries between themselves and their co-inventors. In multivariate models that include past and future activity, I find that some network benefits are contingent on gender. Men receive greater returns from network positioning for brokerage ties, and when collaborating with men. Women benefit from collaborating with women, and are more likely to collaborate with women, but both men and women collaborate with mostly men. I discuss the implications of these results for innovative growth, as well as for policies that support men’s and women’s career development. 相似文献
19.
People use social media to help them solve problems and enhance performance. Users may engage in diverse social interactions online, increasing their knowledge base through both weak and strong ties. In this study we investigate the impact of social networks on job performance, focusing on knowledge quality and diversity based on social network theory and the knowledge-based view. The empirical analysis reveals that the strength of social network ties is strongly associated with knowledge quality in offline interactions, while social network diversity is associated with knowledge quality in online interactions. Knowledge quality acquired from social network has a significant impact on both creativity and productivity of job performance in the workplace. However, knowledge diversity acquired from diverse social network interactions is strongly associated with creativity, but not with productivity. The results of this study increase our understanding of the knowledge sourcing behaviors of workers. 相似文献
20.
《The Journal of High Technology Management Research》2014,25(2):163-171
PurposeThe purpose of this paper is to investigate how customers' social network affects customer referral behavior.MethodologyA survey of 180 qualified questionnaires from ordinary consumers in China was conducted. Structural equation model was performed on the collection of data.FindingsThe results show that condensed subgroups and the relationship strength between customers and between customers and companies have a greater influence on customer referrals than network density and centrality. In contrast, network scale and structural holes do not influence customer referrals.Originality/valueContributing to customer referral theory, this paper examines the influencing factors of customer referral behavior based on social network, providing theoretical suggestions for enterprises better using customer referral to acquire customers. 相似文献