一种实现视频水印嵌入的新方法

在研究前人提出的视频水印理论基础上,结合MPEG编解码方案和人眼视觉特性,采用在宏块的运动速度图中以十字方式嵌入水印的方法,该方法的优点是:水印的嵌入不会影响I帧的图像质量,水印的嵌入量大,不但提高了水印的不可见性,而且增强了水印的稳健性.     

一种抗同步攻击的自适应扩频文本数字水印

针对同步攻击这一困扰扩频水印技术的难题,提出了一类基于字符特征的文本数字水印系统编码映射规则,以及相应的扩频水印加载与检测模型;并利用字符语义在水印加载与检测过程中具备的良好鲁棒性,通过载体字符产生伪随机代码,最终生成具有同步错误修正能力的自适应扩频文本水印.分析表明,利用这种方法产生的伪随机代码具有良好的随机特性;仿真实验表明,该扩频文本水印在保持水印数据扩频特性优势的同时,抗同步攻击性能得到了显著的提高.     

一种在正交化分形压缩图像中嵌入灰度水印的方法

传统的基于分形编码的水印技术一般采用0,1码,没有实现灰度图像的嵌入。本文在研究正交化分形编码的基础上,构造出水印嵌入变换函数,提出了一种能够嵌入灰度图像的分形编码水印算法,且水印提取速度大大加快。利用正交化分形解码参数在迭代过程中的不变性,使水印直接嵌入解码参数,从而实现了灰度水印嵌入。实验结果和数据表明,水印嵌入对宿主图像分形编码质量几乎没有影响,具有可行性。与传统算法相比,本文算法在抗剪切处理、低通滤波,JPEG压缩等方面具有更好的鲁棒性。     

通过交互式移位-插入-删除进行基因组排序的较快算法

多染色体基因组进化问题中常见的重组事件就是移位(translocation),对此已有很多研究成果.但事实上更为普遍的情况是2个基因组包含不同基因,这需要考虑插入和删除事件.对于"通过移位-插入-删除进行基因组排序(简称SG-TID)"这个问题,此前已有一个求解移位-删除(或者移位-插入)序列的近似算法,以及求解SG-TID问题的启发式算法.在给出了移位-插入-删除距离的表达公式后,给出了在增加O(n)存储空间的条件下,O(n2)时间内求解该问题的精确算法.该算法比此前给出的算法要快.     

A Novel Uncertainty Decoding Rule With Applications to Transmission Error Robust Speech Recognition

In this paper, we derive an uncertainty decoding rule for automatic speech recognition (ASR), which accounts for both corrupted observations and inter-frame correlation. The conditional independence assumption, prevalent in hidden Markov model-based ASR, is relaxed to obtain a clean speech posterior that is conditioned on the complete observed feature vector sequence. This is a more informative posterior than one conditioned only on the current observation. The novel decoding is used to obtain a transmission-error robust remote ASR system, where the speech capturing unit is connected to the decoder via an error-prone communication network. We show how the clean speech posterior can be computed for communication links being characterized by either bit errors or packet loss. Recognition results are presented for both distributed and network speech recognition, where in the latter case common voice-over-IP codecs are employed.     

A New Predictive Approach for Bilateral Teleoperation With Applications to Drive-by-Wire Systems

In this paper, a new predictive approach is proposed for the impedance control of bilateral drive-by-wire teleoperation systems. The proposed control structure includes two mirror predictors/observers in both the master and slave sides. These predictors/observers are used to simultaneously estimate the master and slave internal dynamics, and thereby to avoid the use of the delayed transmitted information. As a consequence, the influence of the delay on the whole system can be minimized and the performance can be improved. Under a set of suited hypotheses, the proposed control structure is shown to be uniformly ultimate stable, even in the presence of time-varying delays. Simulation results are presented to show the effectiveness of the proposed approach. The behavior of the control structure is also experimentally demonstrated while performing remote steering of a small autonomous vehicle     

Molecular Robotics: A New Paradigm for Artifacts

The rapid progress of molecular nanotechnology has opened the door to molecular robotics, which uses molecules as robot components. In order to promote this new paradigm, the Molecular Robotics Research Group was established in the Systems and Information Division of the Society of Instrument and Control Engineers (SICE) in 2010. The group consists of researchers from various fields including chemistry, biophysics, DNA nanotechnology, systems science and robotics, challenging this emerging new field. Last year, the group proposed a research project focusing on molecular robotics, and it was recently awarded a Grant-in-Aid for Scientific Research on Innovative Areas (FY2012-16), one of the large-scale research projects in Japan, by MEXT (Ministry of Education, Culture, Sports, Science and Technology, JAPAN). Here, we wish to clarify the fundamental concept and research direction of molecular robotics. For this purpose, we present a comprehensive view of molecular robotics based on the discussions held in the Molecular Robotics Research Group.     

Virtually Documented Environments: A New Interface Paradigm for Task-oriented Access to Information

We present a suitable virtually documented environment system providing the user with high level interaction possibilities. The system is dedicated to applications where the operator needs to have his hands free in order to access information, carry out measurements and/or operate on a device (e.g. maintenance, instruction). The system merges video images acquired through a head-mounted video camera with synthetic data (multimedia documents including CAD models and text) and presents these merged images to the operator. Registration techniques allow the operator to visualise information properly correlated to the real world: this is an essential aspect in order to achieve a feeling of presence in a real environment. We increase the sense of immersion through high level Human-Computer Interaction (HCI) allowing hands-free access to information through vocal commands as well as multimodal interaction associating speech and gesture. In this way, the user can access information and manipulate it in a very natural manner. We discuss the construction of the documentation system and the requested functionalities which led to the system architecture.     

Embedding Fields: Underlying Philosophy,Mathematics, and Applications to Psychology,Physiology, and Anatomy

Abstract

This article reviews results on a learning theory that can be derived from simple psychological postulates and given a suggestive neurophysiological, anatomical, and biochemical interpretation. The neural networks described can discriminate, learn, simultaneously remember, and perform individually upon demand any number of space-time patterns of essentially arbitrary complexity. A general theorem expressing this fact is stated in the language of nonlinear functional-differential systems. Applications of the theory to various empirical problems are mentioned; e.g., serial learning, stimulus sampling, lateral inhibition, energy–entropy dependence, reaction time, transmitter production and release, spatiotemporal masking, operant and respondant conditioning, influences of under- or over-arousal on learning.     

Super-Streaming: A New Object Delivery Paradigm for Continuous Media Servers

A number of studies have focused on the design of continuous media, CM, (e.g., video and audio) servers to support the real-time delivery of CM objects. These systems have been deployed in local environments such as hotels, hospitals and cruise ships to support media-on-demand applications. They typically stream CM objects to the clients with the objective of minimizing the buffer space required at the client site. This objective can now be relaxed due to the availability of inexpensive storage devices at the client side. Therefore, we propose a Super-streaming paradigm that can utilize the client side resources in order to improve the utilization of the CM server. To support super-streaming, we propose a technique to enable the CM servers to deliver CM objects at a rate higher than their display bandwidth requirement. We also propose alternative admission control policies to downgrade super-streams in favor of regular streams when the resources are scarce. We demonstrate the superiority of our paradigm over streaming with both analytical and simulation models.Moreover, new distributed applications such as distant-learning, digital libraries, and home entertainment require the delivery of CM objects to geographically disbursed clients. For quality purposes, recently many studies proposed dedicated distributed architectures to support these types of applications. We extend our super-streaming paradigm to be applicable in such distributed architectures. We propose a sophisticated resource management policy to support super-streaming in the presence of multiple servers, network links and clients. Due to the complexity involved in modeling these architectures, we only evaluate the performance of super-streaming by a simulation study.     

Parallel Distance: A New Paradigm of Measurement for Parallel Driving

In this paper, a new paradigm named parallel dis-tance is presented to measure the data information in parallel driving system. As an example, the core variables in the parallel driving system are measured and evaluated in the parallel distance framework. First, the parallel driving 3.0 system included control and management platform, intelligent vehicle platform and remote-control platform is introduced. Then, Markov chain (MC) is utilized to model the transition probability matrix of control commands in these systems. Furthermore, to distinguish the control variables in artificial and physical driving conditions, different distance calculation methods are enumerated to specify the differences between the virtual and real signals. By doing this, the real system can be guided and the virtual system can be im-proved. Finally, simulation results exhibit the merits and multiple applications of the proposed parallel distance framework.      

带标记信号量——一种新型同步与互斥机制

1 问题的引出信号量机制是E.W.Dijkstra最先提出来的,是并发程序设计中一种基本的、重要的同步与互斥原语,也是研究并发程序行为的重要机制。其描述能力强、机理简单、易于掌握,能方便地描述处理绝大多数并发程序设计的同步与互斥问题(如共享变量的保护)。信号量原语自问世二十余年来,已广泛地应用于     

CoLab: A New Paradigm and Tool for Collaboratively Browsing the Web

Widespread adoption of Web technologies, particularly in professional and educational areas, has motivated new research efforts with the objective of designing new interaction mechanisms based on Web technologies. Within this framework, collaborative Web browsing (cobrowsing) aims at extending currently available Web browsing capabilities in order to allow several users to "browse together" on the Web. Such a browsing paradigm can have many useful applications, for instance, in e-learning, for collaboratively searching and retrieving documents, and for online assistance (helpdesk). A cobrowsing system should provide all the facilities required for allowing users to establish and release, in a very simple and flexible way, browsing synchronization relations as well as interactions with continuous media presentations embedded within Web pages. This paper presents the design, modeling, and implementation of the cobrowsing system called CoLab. CoLab provides all the functionalities required for allowing users to collaboratively browse the Web, and a first experimental version of the tool has been implemented and is fully operational     

Parallel Manufacturing for Industrial Metaverses: A New Paradigm in Smart Manufacturing

To tackle the complexity of human and social factors in manufacturing systems, parallel manufacturing for industrial metaverses is proposed as a new paradigm in smart manufacturing for effective and efficient operations of those systems, where Cyber-Physical-Social Systems (CPSSs) and the Internet of Minds (IoM) are regarded as its infrastructures and the "Artificial systems", "Computational experiments" and "Parallel execution" (ACP) method is its methodological foundation for parallel evolution, closed-loop feedback, and collaborative optimization. In parallel manufacturing, social demands are analyzed and extracted from social intelligence for product R & D and production planning, and digital workers and robotic workers perform the majority of the physical and mental work instead of human workers, contributing to the realization of low-cost, high-efficiency and zero-inventory manufacturing. A variety of advanced technologies such as Knowledge Automation (KA), blockchain, crowdsourcing and Decentralized Autonomous Organizations (DAOs) provide powerful support for the construction of parallel manufacturing, which holds the promise of breaking the constraints of resource and capacity, and the limitations of time and space. Finally, the effectiveness of parallel manufacturing is verified by taking the workflow of customized shoes as a case, especially the unmanned production line named FlexVega.      

XULRunner: A New Approach for Developing Rich Internet Applications

The Web 2.0 world abounds with solutions for developing Web-based rich Internet applications (RIAs). Desktop application developers have seen a similar maturation of full-featured frameworks to help simplify development. Mozilla's XULRunner application runtime engine offers a compromise between Web-based RIAs and a desktop application's power     

Dual Watermarking for Color Images: A New Image Copyright Protection Model based on the Fusion of Successive and Segmented Watermarking

Multimedia Tools and Applications - Watermarking has been suggested as a generic technique to solve various problems associated with topics in the areas of digital rights management and multimedia...     

Sampling and Subsampling for Cluster Analysis in Data Mining: With Applications to Sky Survey Data

This paper describes a clustering method for unsupervised classification of objects in large data sets. The new methodology combines the mixture likelihood approach with a sampling and subsampling strategy in order to cluster large data sets efficiently. This sampling strategy can be applied to a large variety of data mining methods to allow them to be used on very large data sets. The method is applied to the problem of automated star/galaxy classification for digital sky data and is tested using a sample from the Digitized Palomar Sky Survey (DPOSS) data. The method is quick and reliable and produces classifications comparable to previous work on these data using supervised clustering.