The use of audio-visual language Animation is the art, music, literature and computer technology a cross the diversity of art form, animation and rely on the application of audio-visual language beyond the former at any time. The use of audio-visual language in animation, which makes the current animation with irresistible charm. Audio-visual language is a kind of storytelling method, is also an effective way to express director emotions and thoughts, make the emotional expression to the extreme, great union, its comprehensive brings the audience a strong aesthetic experience. Audio-visual language and other languages, has its own structure unit, expression and grammar rules. This paper from the visual language of expression method, auditory language expression method, and the comprehensive expression of this a few aspects of audio-visual language, explore the use of animation audio-visual language expressing feelings. Through a separate audio and visual language, for instance a

Factors for success in rural tourism tourism development Since the 1970s, economic restructuring and farm crisis have reduced rural communities economic development options, making older development strategies less viable and forcing many to look for nontraditional ways to sustain themselves. One of the most popular nontraditional rural development strategies has been tourism and is associated entrepreneurship rural development strategies has been tourism and its associated entrepreneurship opportunities because of tourisms ability to bring in dollars and to generate jobs and support retail growth. The purpose of this study was to identify and examine those factors that have helped rural communities successfully develop tourism and its entrepreneurship opportunities. Several focus groups were conducted with local businesspersons and leaders in six rural Illinois communities. The results clearly demonstrate the importance of the community approach to tourism development and that

Recursive Deep Learning for Natural Language Processing and Computer thesis. As the amount of unstructured text data that humanity produces overall and on the Internet grows, so does the need to intelligently process it and extract different types of knowledge from it. My research goal in this thesis is to develop learning models that can automatically induce representations of human language, in particular its structure and meaning in order to solve multiple higher level language tasks. There has been great progress in delivering technologies in natural language processing (NLP) such as extracting information from big unstructured data on the web, sentiment analysis in social networks or grammatical analysis for essay grading. One of the goals of NLP is the development of general and scalable algorithms that can jointly solve these tasks and learn the necessary intermediate representations of the linguistic units involved. However, standard approaches towards this goal have

Unified Messaging Systems All users are not created equal. Your salespeople spend all day on the phone and remain productive. If they miss a call that languishes in voicemail, it may mean lost revenue. On the other hand, knowledge workers suffer when they spend too much time on the phone. For them, productivity is inversely proportional to on-phone hours. To satisfy the needs of both groups and those in between, look to a unified messaging system. At one time, UM simply meant putting e-mail, fax messages and voicemail into one message store for management and manipulation. Today, UM is incorporating more real-time communication systems, including instant messaging (IM) and presence management, and using call-routing rules to find and follow a person if he or she is not available from one TUI (telephone user interface). That may sound like a lot to manage, but vendors sell UM functionality separately, so your organization can pick and choose as needed. The enterprise is p

COLLABORATIVE FILTERING RECOMMENDER SYSTEMS IN MUSIC RECOMMENDATION Urszula Kuzelewska[1], Rafal Ducki[2] Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland [2] Student of Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland Abstract: Nowadays, the primary place of information exchange is the internet. Its features, such as: availability, unlimited capacity and diversity of information influenced its unrivalled popularity, making the internet a powerful platform for storage, dissemination and retrieval of information. On the other hand, the internet data are highly dynamic and unstructured. As a result, the internet users face the problem of data overload. Recommender systems help the users to find the products, services or information they are looking for. The article presents a recommender system for music artist recommendation. It is composed of user-based as well as item-based procedures, wh

Relay Attacks on Passive Keyless Entry and Start Systems in Modern Cars 1 Introduction Modern cars embed complex electronic systems in order to improve driver safety and convenience. Areas of significant public and manufacturer interest include access to the car (i.e., entry in the car) and authorization to drive (i.e.,start the car). Traditionally, access and authorization have been achieved using physical key and lock systems, where by inserting a correct key into the door and ignition locks, the user was able to enter and drive the car. In the last decade, this system has been augmented with remote access in which users are able to open their car remotely by pressing a button on their key fobs. In these systems, the authorization to drive was still mainly enforced by a physical key and lock system. Physical keys also often embedded immobilizer chips to prevent key copying. Recently, car manufacturers have introduced Passive Keyless Entry and Start (PKES) systems that

Recent advances in speech recognition technology at NTT laboratories Sadaoki Furui NTT Human Interface Laboratories, 3-9-11, Midori-cho, Musashino-shi, Tokyo, 180 Japan Received 26 September 1991 Abstract. This paper introduces recent research activities on speech recognition, ranging from acoustic processing to linguistic processing, at NTT (Nippon Telegraph and Telephone Corporation) Laboratories. These include the proposal of ALSP parameters, hierarchical Acepstral parameters, a new method of utilizing pitch information, automatic speaker adaptation techniques, robust HMM phoneme models, new training algorithms for neural networks, linguistic processing that uses syntactic and semantic knowledge, implementation of prototype continuous speech recognition systems, and an efficient text independent speaker recognition algorithm. ZusammenfL~mg. Dieser Beitrag beschreibt neuere Untersuchungen in den Forschungslabors der NTT (Nippon Telegraph and Telephone Corporati

Study on Intelligent Control of Road Condition Perception and Forward Collision Warning System Abstract---This paper describes a road condition perception and forward collision warning system （PWS). It enhances the capability of road condition perception, and improves the drive-safety. Firstly the research background, development of intelligent vehicle and road condition perception technology are introduced. Then the structure of PWS is proposed. It consists of three levels: road condition perception level, decision-making level and execution level. The three subsystems of PWS, central control module, forward collision warning (FCW) system and adaptive front-lighting System（AFS), are researched respectively. According to the proposed structure, PWS experimental platform is built. Some road test has been performed on this platform, and the result indicates that PWS is effective to give collision warning and enhance vehicle illumination. Keywords--- road condition perc

Design for the Heterogeneous Environment Monitoring Network Component-base Management System K.R.Zhao,Q.Q.Ma, X.Y.Zheng, K.C.Lu Bureau Geology of Guangdong Province, Guangzhou, China South China Institute of Environmental Sciences, MEPA, Guangzhou, China South China University of Technology Abstract Based on the current research on the technology of the environment monitoring informatization at home and abroad and its application, a component-based heterogeneous environment monitoring system was constructed, using structure analysis of environment monitoring system and component-base technology. The system includes heterogeneous environment monitoring network component-base design standard, component library, framework as well as the environment facilities driver library. The platformization, standardization and reusability of environment monitoring system development could be carried out effectively in this system, which at the same time improves the com

英语原文共 8 页， 译文 基于聚合物供体和受体的二元共混物的全聚合物太阳能电池（all-PSCs）由于其相对于基于富勒烯的PSC的优势（例如增强的光吸收以及化学结构和能级的广泛可调性）而备受关注。此外，与基于富勒烯的PSC相比，all-PSCs具有增强的抵抗热应力和机械应力的稳定性，这对于生产灵活，便携式的PSC至关重要。最新的电源转换效率（PCE）all-PSCs的百分比均已超过8％，PCE高于7％的高效all-PSCs仍然非常罕见。总的来说，all-PSCs的PCE仍远低于使用相同的聚合物供体制备的基于富勒烯的PSC。all-PSCs的性能通常受到短路电流密度（Jsc）和填充因子（FF）的限制，这主要归因于（i）取向错误产生低电子迁移率的聚合物受体，（ii）供体/受体（D / A）界面处的电荷解离效率低，（iii）由于大力促进了聚合物与聚合物的混合，未优化的�