小喇叭，放飞心情

“小喇叭，嗒嗒响，我们一起去放飞!”这好像是某首儿歌中的歌词，不过今天我们要介绍的iLaba并非货真价实的小喇叭，而是一款非常有意思的音乐播放器。它除了可以播放本机和网络上的歌曲外，还能够从百度和搜刮网站上搜索评下载歌曲，而且还具有和《千千静听》同样的歌词同步显示功能，可以说是提供了搜索、下载和播放一条龙服务。     

“千千静听”轻松听歌17招

1、助千千静昕搜索歌词 千千静听是通过识别MP3标签来在线自动搜索歌词的，可现在网上下载的许多MP3文件的标签信息并不完整或文件名杂乱，这时我们可以右击千千静听播放列表中欲识别文件．选择“文件信息命令”．“从文件名猜测标签”并选择合适的歌曲文件名样式．一般就可以帮助千千静听寻找到合适的歌词了。[第一段]     

千千小细节 静听更省心

对于喜欢听歌的朋友来说,千千静听是一款出色的软件,然而更新到5.3正式版后,却有一些小细节需要注意。下面,就挑出其中几条方便实用的小技巧与大家分享,希望能够事半功倍。     

浪漫生活快乐歌唱

我们在生活中应该怎样叫浪漫?我想,浪漫屋里、粉色灯光下,电脑前、一个唱、一人闭目欣赏……那才叫温馨。一款小小的免费播放器——小喇叭可实现这一梦想。     

A backtracking search tool for constructing combinatorial test suites

Combinatorial testing is an important testing method. It requires the test cases to cover various combinations of parameters of the system under test. The test generation problem for combinatorial testing can be modeled as constructing a matrix which has certain properties. This paper first discusses two combinatorial testing criteria: covering array and orthogonal array, and then proposes a backtracking search algorithm to construct matrices satisfying them. Several search heuristics and symmetry breaking techniques are used to reduce the search time. This paper also introduces some techniques to generate large covering array instances from smaller ones. All the techniques have been implemented in a tool called EXACT (EXhaustive seArch of Combinatorial Test suites). A new optimal covering array is found by this tool.     

The pataphysics of creativity: developing a tool for creative search

We introduce the idea of a new kind of web search tool that uses the literary and philosophical idea of pataphysics as a conceptual framework in order to return creative results. Pataphysics, the science of exceptions and imaginary solutions, can be directly linked to creativity and is therefore very suitable to guide the transformation from relevant into creative search results. To enable pataphysical algorithms within our system we propose the need for a new type of system architecture. We discuss a component-based software architecture that would allow the flexible integration of the new algorithms at any stage or location and the need for an index suitable to handle patadata, data which have been transformed pataphysically. This tool aims to generate surprising, novel and provocative search results rather than relevant ones, in order to inspire a more creative interaction that has applications in both creative work and learning contexts.     

Integrated process planning using tool/process capabilities and heuristic search

CAD–CAM integration has involved either design with standard manufacturing features (feature-based design), or interpretation of a solid model based on a set of predetermined feature patterns (automatic feature recognition). Thus existing approaches are limited in application to predefined features, and also disregard the dynamic nature of the process and tool availability in the manufacturing shop floor. To overcome this problem, we develop a process oriented approach to design interpretation, and model the shape producing capabilities of the tools into tool classes. We then interpret the part by matching regions of it with the tool classes directly. In addition, there could be more than one way in which a part can be interpreted, and to obtain an optimal plan, it is necessary for an integrated computer aided process planning system to examine these alternatives. We develop a systematic search algorithm to generate the different interpretations, and a heuristic approach to sequence operations (set-ups/tools) for the features of the interpretations generated. The heuristic operation sequencing algorithm considers features and their manufacturing constraints (precedences) simultaneously, to optimally allocate set-ups and tools for the various features. The modules within the design interpretation and process planner are linked through an abstracted qualitative model of feature interactions. Such an abstract representation is convenient for geometric reasoning tasks associated with planning and design interpretation.     

Monte Carlo Tree Search as an intelligent search tool in structural design problems

Engineering with Computers - Monte Carlo Tree Search (MCTS) is a search technique that in the last decade emerged as a major breakthrough for Artificial Intelligence applications regarding board-...     

The theory of planned behaviour applied to search engines as a learning tool

Abstract Search engines have been developed for helping learners to seek online information. Based on theory of planned behaviour approach, this research intends to investigate the behaviour of using search engines as a learning tool. After factor analysis, the results suggest that perceived satisfaction of search engine, search engines as an information retrieval tool, and sharing search experience and information are three significant factors to affect individual behavioural intention to use search engines as a learning tool. In addition, the research elaborates that individual Internet and search engine experiences will affect these three factors. Moreover, the result also offers evidence that today's computers are popular for the application of communication and information retrieval.     

An investigation of user attitudes toward search engines as an information retrieval tool

After the Internet has gained great popularity at homes and schools, there is much information on the Web. Today, one of the primary uses of the Internet is information retrieval from search engines. The main purpose of the current study is to develop and examine an individual attitude model towards search engines as a tool for retrieving information. This model integrates individual computer experience with perceptions. In addition, it also combines perception theories, such as technology acceptance model (TAM) and motivation, in order to understand individual attitudes toward search engines. The results show that individual computer experience, quality of search systems, motivation, and perceptions of technology acceptance are all key factors that affect individual feelings to use search engines as an information retrieval tool.     

Tailoring by integration of domain-specific components: the case of a document search tool

In this paper we describe the evolutionary design and implementation of a search tool for files in shared workspaces used within an off-the-shelf groupware product. The design is based on the assumption that a useful generic search tool must be highly tailorable, which is achieved by applying an innovative software architecture allowing the assembly of components during runtime. In order to understand people's searching methods in shared workspaces and to support the design, we employed interviews and workshops with users as well as a field test to understand the users' needs. During the design process we developed a series of prototypes that were then evaluated by office workers. Consequently, the process described and the lessons learned extend from searching in files as a case via tailorability of software as an answer to the resulting requirements to component architecture as a way to implement this tailorability. The results derived from the treatment of these interrelated aspects constitute the core and value of this paper.     

Tailoring by integration of domain-specific components: the case of a document search tool

In this paper we describe the evolutionary design and implementation of a search tool for files in shared workspaces used within an off-the-shelf groupware product. The design is based on the assumption that a useful generic search tool must be highly tailorable, which is achieved by applying an innovative software architecture allowing the assembly of components during runtime. In order to understand people's searching methods in shared workspaces and to support the design, we employed interviews and workshops with users as well as a field test to understand the users' needs. During the design process we developed a series of prototypes that were then evaluated by office workers. Consequently, the process described and the lessons learned extend from searching in files as a case via tailorability of software as an answer to the resulting requirements to component architecture as a way to implement this tailorability. The results derived from the treatment of these interrelated aspects constitute the core and value of this paper.     

A hybrid immune genetic algorithm with tabu search for minimizing the tool switch times in CNC milling batch-processing

Applied Intelligence - In order to enhance the machining efficiency, batch-processing is widely used in computer numerical control (CNC) milling machining. Each job in a batch requires a set of...