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991.
Guang-Ho Cha 《Multimedia Tools and Applications》2012,56(2):351-364
One of the central problems regarding media search is the semantic gap between the low-level features computed automatically
from media data and the human interpretation of them. This is because the notion of similarity is usually based on high-level
abstraction but the low-level features do not sometimes reflect the human perception. In this paper, we assume the semantics
of media is determined by the contextual relationship in a dataset, and introduce the method to capture the contextual information from a large media (especially
image) dataset for effective search. Similarity search in an image database based on this contextual information shows encouraging
experimental results. 相似文献
992.
The paper proposes a new approach to find semantic meanings in visual object class structure, in line with the Gestalt laws
of proximity. Micro level semantic structures are formed by line segments (arcs also approximated into line segments based
on pixel deviation threshold) which are in close proximity. These structures are hierarchically combined till a semantic label
can be assigned. The algorithm extracts semantic groups, their inter-relations and represents these using a graph. Invariant
geometrical properties of the groups and relations are used as vertex and edge labels. A graph model captures the inter class
variability by analyzing the repetitiveness of structures and relations and uses it as a weighting factor for classification.
The algorithm has been tested on a standard benchmark database and compared with existing approaches. 相似文献
993.
Hugo Feitosa de Figueirêdo Yuri Almeida Lacerda Anselmo Cardoso de Paiva Marco Antonio Casanova Cláudio de Souza Baptista 《Multimedia Tools and Applications》2012,59(1):279-305
The recent popularity of digital cameras has posed a new problem: how to efficiently store and retrieve the very large number
of digital photos captured and chaotically stored in multiple locations without any annotation. This paper proposes an infrastructure,
called PhotoGeo, which aims at helping users with the people photo annotation, event photo annotation, storage and retrieval
of personal digital photos. To achieve the desired objective, PhotoGeo uses new algorithms that make it possible to annotate
photos with the key metadata to facilitate their retrieval, such as: the people who were shown in the photo (who); where it was captured (where); the date and time of capture (when); and the event that was captured. The paper concludes with a detailed evaluation of these algorithms. 相似文献
994.
995.
Lu Liu Feida Zhu Meng Jiang Jiawei Han Lifeng Sun Shiqiang Yang 《Multimedia Tools and Applications》2012,56(1):179-205
The fast development of multimedia technology and increasing availability of network bandwidth has given rise to an abundance
of network data as a result of all the ever-booming social media and social websites in recent years, e.g., Flickr, Youtube,
MySpace, Facebook, etc. Social network analysis has therefore become a critical problem attracting enthusiasm from both academia
and industry. However, an important measure that captures a participant’s diversity in the network has been largely neglected in previous studies. Namely, diversity characterizes how diverse a given node connects
with its peers. In this paper, we give a comprehensive study of this concept. We first lay out two criteria that capture the
semantic meaning of diversity, and then propose a compliant definition which is simple enough to embed the idea. Based on
the approach, we can measure not only a user’s sociality and interest diversity but also a social media’s user diversity.
An efficient top-k diversity ranking algorithm is developed for computation on dynamic networks. Experiments on both synthetic
and real social media datasets give interesting results, where individual nodes identified with high diversities are intuitive. 相似文献
996.
Jung Nam Bae Jin Young Kim Geon Kim Yong Tae Lee Jae Sang Cha 《Multimedia Tools and Applications》2012,57(2):359-372
Recently, watermarking based data transmission techniques using terrestrial digital TV signal have been proposed since they
are also cost-free and can overcome the limitations of GPS. However, in the previous watermarking based methods, the detection
accuracy is low and additional data rate is too low. Thus, we propose the throughput enhancement method by employing the TZCD-MBOK
watermarking technique in T-DMB system. By applying the proposed scheme to T-DMB, it allows additional data transmission for
disaster broadcasting and improves efficiency of data transmission in shadow region and indoor to mobile environment through
watermarking spread code. From the simulation results, we confirm the proposed watermarking scheme affected on the existing
T-DMB signal. Moreover, it was also confirmed that the system capacity increases as the power of additional watermarking signal
rose. The results of the paper can be applied to wireless multimedia digital broadcasting systems. 相似文献
997.
Many video service sites headed by YouTube know what content requires copyright protection. However, they lack a copyright
protection system that automatically distinguishes whether uploaded videos contain legal or illegal content. Existing protection
techniques use content-based retrieval methods that compare the features of video. However, if the video encoding has changed
in resolution, bit-rate or codec, these techniques do not perform well. Thus, this paper proposes a novel video matching algorithm
even if the type of encoding has changed. We also suggest an intelligent copyright protection system using the proposed algorithm.
This can serve to automatically prevent the uploading of illegal content. The proposed method has represented the accuracy
of 97% with searching algorithm in video-matching experiments and 98.62% with automation algorithm in copyright-protection
experiments. Therefore, this system could form a core technology that identifies illegal content and automatically excludes
access to illegal content by many video service sites. 相似文献
998.
999.
In this paper we have proposed a dynamic pricing scheme for the contributing peers in the Video on Demand (VoD) system. The
scheme provides an effective mechanism to maximize the profit through the residual resources of the contributing peers. A
utilization function is executed for each contributing peer to estimate the utility factor based on the parameters such as
initial setup cost, holding cost, chaining cost and salvage cost. In this paper, we urge an effective dynamic pricing algorithm
that efficiently utilizes a range of parameters with a varying degree of complexity. The key findings of the algorithm are
(i) each contributing peers are benefitted by the monetary based on its resource contributions to the VoD system and (ii)
a high degree of social optimum is established by proficiently aggregating the contributing peer’s resources with the overall
resources of the VoD system. We validate our claim by simulating the proposed dynamic pricing scheme with other standard pricing
schemes such as altruism, cost model and game theory perspective. The result of our dynamic pricing scheme shows the best
utility factor than other standard pricing schemes. 相似文献
1000.
Most algorithms of smoothing schedule compute the required bit rate of video transmission to satisfy all the transmitted data.
In this paper, our proposed tolerable data dropping algorithm can adjust transmitting data to fit available bit rate. MPEG-4
with fine grained scalability (FGS) can support partial data dropping to adapt to available bandwidth network. The algorithm
is based on the minimum variance bandwidth allocation (MVBA) algorithm proposed by Salehi et al. to compute the bit rate such
that still ensuring that the buffer never underflows and overflows for MPEG-4 FGS streams under the limited bandwidth resource.
We prove that our proposed algorithm, named MVBADP, is smoother than the MVBA algorithm. The experimental results show the
peak rate, the number of rate changes, and the ratio of total dropping data, and the PSNR for four test sequences with different
content characteristics. They are varied by buffer sizes and tolerable dropping ratios. We found that the MVBADP algorithm
can reduce the peak rate and the number of changes when the transmitted data are dropped by tolerable dropping ratio, especially
on the video sequences with the high motion and complex texture characteristic and larger size change of the consecutive frame. 相似文献