Digital trance

본 논문의 목적은 모바일 단말기의 브라우저에서 재생 불가능한 콘텐트를 재생 가능한 이미지 콘텐트로 변경하여 단말기 사용자가 PC를 이용하여 웹 콘텐트를 사용하는 것과 같은 효과를 얻고자 하는 것이다. 이를 위해 본 논문에서는 모바일 단말기 상에 PC에서 사용하는 임의의 웹 콘텐트를 재생하기 위하여 웹 페이지를 이미지화 하여 사용자가 선호하는 영역의 콘텐트를 캐럿으로 구분하고 캐럿 단위로 모바일 상에 서비스 하고자 한다. 일반 웹 페이지에서 캐럿 영역을 설정하는 방법으로는 일반 웹 페이지의 정보를 이용한 자동 정적 분할 방법, 사용자 지정에 의한 임의 위치 지정 방법, 웹 페이지의 구조적 분석 기반의 Region 단위 설정 방법을 소개하고 캐럿 단위로 웹 페이지를 분할하여 서비스하였을 경우의 성능향상을 실험 결과를 통하여 보여주고 있다. The objective of this study is to satisfy requirements for a variety of terminals to play wired web page contents in ubiquitous environment constantly connected to network. In other words, this study intended to automatically transcode wired web page into mobile web page in order to receive service by using mobile base to carry contents in Internet web page. To achieve this objective, we suggest the method that is to directly enter URL of web page in mobile device and to check contents of the current web page. For this, web page is converted into an image and configured into a mobile web page suitable for personal terminals. Users can obtain the effect of having web services provided by using computer with interfaces to expand, reduce and move the web page as desired. This is a caret unit play method, with which contents of web page are transcoded and played to suit each user According to the method proposed in this study, contents of wired web page can be played by using a mobile device. This study confirms that a single content can be serviced to suit users of various terminals. Through this, it will be able to reuse numerous wired web contents as mobile web contents.

A novel approach for comparing web sites by using MicroGenres

Search Engine Ranking, Quality, and Content of Web Pages That Are Critical Versus Noncritical of Human Papillomavirus Vaccine

The article examines issues of the legal mode of the web page. The analysis of legal regulation of these relations was done. There were analyzed the Terms of Use of Accounts on Individual Websites and relevant legal practice, which used web pages as evidence in a civil or commercial process. The author has found that the Internet site as an object of intellectual property is a complex phenomenon, which contains elements of different legal institutes of intellectual property rights. The author has determined that the website consists of web pages, and the owner of the website (the registrant) does not always own the web page. It is concluded that the possession of an account, which permits, independently of the owner of a website, to place information on the web page and manage it singly, gives rise to this person's respective rights and obligations. It has been established that a web page can be an evidence in the court procedure. A printout of a web page can be filed in court in the following ways: simpleprintout of a web page; notarized copy of the web page; conducting a review of the evidence by the court with fixation or without fixing the results of such review in the protocols of the court session; providing the court with an expert opinion, which established whether the use of resources and information in the telecommunication system and in what way,whether there was a fact of transferring (receiving) information in the telecommunication system and in what way; an act of reviewing a website with an attachment of site photographs made by a lawyer or patent attorney. It has been proven that fixing content (web page content) can be done by storing it on appropriate media (CDs, DVDs, magnetic disks, etc.), which complements the printout itself from the website. It is substantiated that in order to establish the reliability of the information contained on the printout of a web page, the court can independently (if necessary, use the help of a specialist) to inspect the content of a particular web page, to investigate the information contained therein. It has been established that in accordance with the provisions of the law on the bar, the lawyer can collect information about facts that can be used as evidence under the law. The above information is issued as an act or protocol in which the time of making, the site, the address, the title of the material, the printed (printed) web page and the witnesses, which will indicate the time of making photos and the place of taking photographs, are recorded. It is proved that if a web page contains information that violates intellectual property rights, a video or audio recording of the process of research of such a web site by any interested person can be used as a means of proof.

With the maturity of network technology, the deterministic factor of a 'successful' web site does not as much depend on its connectivity to the Internet, rather the content of web pages plays a more important role. The inclusion of dynamic data, for example, has become an increasingly desirable feature of a web page. Web servers that support dynamic web pages are capable of retrieving data at the time of user requests. Rather than being statically included in the web page, these dynamically retrieved data may physically reside in various file systems or database servers across the Internet.JAVA, a new object-oriented programming language, has become a buzzword since its introduction by Sun Microsystems in 1994 [1, 2, 3]. It was claimed that JAVA, via its ability to embed applets in a web page, would make the content of a web page alive and dynamic. Data and information on a web page can now be updated dynamically when users request them.In this paper, we discuss our experience of developing JAVA applets that use various types of JDBC (JAVA Database Connectivity) drivers to connect to and then manipulate data stored in SQL (Structured Query Language) database servers. We first start with the discussion of general client/server model involving JDBC, and then introducing the procedure of setting up programming projects employing this approach in an undergraduate database course.

With the maturity of network technology, the deterministic factor of a 'successful' web site does not as much depend on its connectivity to the Internet, rather the content of web pages plays a more important role. The inclusion of dynamic data, for example, has become an increasingly desirable feature of a web page. Web servers that support dynamic web pages are capable of retrieving data at the time of user requests. Rather than being statically included in the web page, these dynamically retrieved data may physically reside in various file systems or database servers across the Internet.JAVA, a new object-oriented programming language, has become a buzzword since its introduction by Sun Microsystems in 1994 [1, 2, 3]. It was claimed that JAVA, via its ability to embed applets in a web page, would make the content of a web page alive and dynamic. Data and information on a web page can now be updated dynamically when users request them.In this paper, we discuss our experience of developing JAVA applets that use various types of JDBC (JAVA Database Connectivity) drivers to connect to and then manipulate data stored in SQL (Structured Query Language) database servers. We first start with the discussion of general client/server model involving JDBC, and then introducing the procedure of setting up programming projects employing this approach in an undergraduate database course.

The present study was designed to analyse Web pages of German gynaecologists with regard to postmenopausal hormone therapy (HT). There is a growing body of evidence, that the overall health risks of HT exceed the benefits. Making one's own informed choice has become a central concern for menopausal women. The Internet is an important source of health information, but the quality is often dubious. The study focused on the analysis of basic criteria such as last modification date and quality of the HT information content. The results of the Women's Health Initiative Study (WHI) were used as a benchmark. We searched for relevant Web pages by entering a combination of key words (9 x 13 = 117) into the search engine www.google.de. Each Web page was analysed using a standardized questionnaire. The basic criteria and the quality of content on each Web page were separately categorized by two evaluators. Disagreements were resolved by discussion. Of the 97 websites identified, basic criteria were not met by the majority. For example, the modification date was displayed by only 23 (23.7%) Web pages. The quality of content of most Web pages regarding HT was inaccurate and incomplete. Whilst only nine (9.3%) took up a balanced position, 66 (68%) recommended HT without any restrictions. In 22 cases the recommendation was indistinct and none of the sites refused HT. With regard to basic criteria, there was no difference between HT-recommending Web pages and sites with balanced position. Evidence-based information resulting from the WHI trial was insufficiently represented on gynaecologists' Web pages. Because of the growing number of consumers looking online for health information, the danger of obtaining harmful information has to be minimized. Web pages of gynaecologists do not appear to be recommendable for women because they do not provide recent evidence-based findings about HT.

Googling for Health Information

As the Web gains more popularity, Web sites become richer in media. Besides text, another most common form of media is image. A Web page can utilize images in various ways such as to illustrate stories, to summarize data and to decorate the page. This leads to a large amount of images embedded in Web pages. However, not all Web images are informative, i.e., engaged with the page for the purpose of delivering useful information. The uninformative or images are, for example, logos and banner advertisements. The benefit of classifying Web images as ``informative or auxiliary is the efficient use of available resources. The images are insignificant and can be ignored in many tasks including search engine's indexing, for the sake of conciseness of search results, and Web page printing, to reduce ink usage. This paper proposes a solution for the HP Multimedia Grand Challenge to identify informative multimedia contents in Web pages. Our approach is based on a supervised machine learning model trained from a set of 32 features gathered from content analysis of images, Web page layout, and domain name. We adopt the Support Vector Machines (SVM) algorithm to train the classifier. The model is optimized by a grid search technique to select the appropriate set of kernel parameters. The evaluation results based on the 10-fold cross-validation yielded the classification accuracy of 94.08%. The classification results are used to annotate each image accordingly, as in the prototype implementtaion, each image is highlighted with different border color.

There is a rich body of literature on measuring and optimizing nearly every aspect of the web, including characterizing the structure and content of web pages, devising new techniques to load pages quickly, and evaluating such techniques. Virtually all of this prior work used a single page, namely the landing page (i.e., root document, /), of each web site as the representative of all pages on that site. In this paper, we characterize the differences between landing and internal (i.e., non-root) pages of 1000 web sites to demonstrate that the structure and content of internal pages differ substantially from those of landing pages, as well as from one another. We review more than a hundred studies published at top-tier networking conferences between 2015 and 2019, and highlight how, in light of these differences, the insights and claims of nearly two-thirds of the relevant studies would need to be revised for them to apply to internal pages.Going forward, we urge the networking community to include internal pages for measuring and optimizing the web. This recommendation, however, poses a non-trivial challenge: How do we select a set of representative internal web pages from a web site? To address the challenge, we have developed Hispar, a top list of 100,000 pages updated weekly comprising both the landing pages and internal pages of around 2000 web sites. We make Hispar and the tools to recreate or customize it publicly available.

The widespread unsolicited content injection affects the user experience badly, and brings severe security threats as well as information leakage and malicious code. Therefore, it is significant to discover incentive and danger of unsolicited content injection, and help designing blacklist of browser extension and security policy of web publisher to block this kind of injection.This paper presents a Javascript-driven method of collecting unsolicited content injection on mobile browser which is valuable to injectors. And this method exploits periodic scanning DOM of a given web page to detect the changes of foreign resources URL, which covers in-band injection and out of band injection. Then, this method has been deployed on a Chinese Web site for 22 days, and 238,172 injection records are gained. And We deeply inspect these injected content and obtain helpful findings as follows: (1) over 4% mobile browsers' sessions are modified during web page transmission; (2) these injected contents have covered the advertising, notice of the ISP value-added services, the malicious code, raising access of beneficial web site and page redirecting; (3) these injections have been divided into 61 injection groups on the address of injected resource URL and 23 injection systems on the path of injected resource URL; (4) the exhibition of some injected contents is dependent of content of web page, domain of web site, IP address or geographic location of mobile device, or network environment. In order to block the injection, this paper also presents 3 methods of deploying HTTPS, deploying CSP, deploying HTTPS with measurement JavaScript. Moreover, both later methods are acceptable to be deployed in practice due to low cost and high security. Finally, our finding including the resource URL and path of URL can be used as feature of WAF or IDS to block or discover suspicious injection.

The World Wide Web is one of the most widely used information resources. Understanding the web better will enable us to benefit more of it. In this thesis we develop techniques to learn the properties of the web pages like language and topic using only the URLs of web pages. Furthermore we make a comparison and evaluation of web page sampling algorithms to learn about the web properties like content length, top level domain and outdegree distribution. In the first part of this thesis, we develop high performance classifiers for web page language classification using only the URL of web pages. We make a comprehensive study of features and algorithms and test the performance of our classifiers on various real data sets. For language classification the quality of our URL-based classifiers rival the quality of classifiers based on content. Language classification from URL is useful when the content of the web page is not available and when the classification speed is important. Language classifiers based on URLs can be used by crawlers of general and language specific search engines to avoid bandwidth waste. In the second part of this thesis, we investigate whether web page topic classification can be done only with URL. We explore this problem in various dimensions like experimenting with different algorithms, features, data sets and topics. URL-based topic classification is useful when the content of the web page is not available or the content is hidden in images. Topic classifiers based on URLs can be used to filter information and in applications like topic focused crawlers. Although content based topic classifiers give better performances, our URL-based topic classifiers work reasonably well and can be used as a signal to improve the performance of content based classifiers. In the third part of this thesis, we compare the state of art web page sampling algorithms and analyze the samples returned by these algorithms using the web properties like content length, top level domain and outdegree distribution. We discuss the strengths and weaknesses of each algorithm and propose improvements based on experimental results. The sampling algorithms we run on the web are influenced by the structure of the web. We investigate the relationship between the properties of the web and the structure of it. A uniform random sample of the web would be quite useful to learn about the composition and development of the web as it is not possible to download all the web pages to determine the properties of the web.

In recent years, the collection of data from social networks has increased sharply due to the diffusion of the internet and portable electronic devices. Data from social networks may represent a useful information source to investigate user opinions on web pages. Social network users can declare their preferences by clicking “Like” on a web page. This paper focuses on user’s “Likes” on social network pages by collecting the information given by users to social network pages with similar contents. Building on the user’s propensity to “Like” pages with analogous content, we suggest a procedure to assign a plausible opinion to pages that the user did not “Like.” Using this procedure, the absence of “Like” on a social network page is assigned with a negative (“Dislike”) or a neutral (“Nothing”) opinion. An application of the approach to data from social network pages on Italian television channels is shown.

Game and Online Video Streaming are the most viewed web pages. Users who spend too much time on these types of web pages may suffer from internet addiction. Access to Game and Online Video Streaming web pages should be restricted to combat internet addiction. A tool is required to recognise the category of web pages based on the text content of the web pages. Due to the unavailability of a matrix representation that can handle long web page text content, this study employs a document representation known as word cloud image to visualise the words extracted from the text content web page after data pre-processing. The most popular words are shown in large size and appear in the centre of the word cloud image. The most common words are the words that appear frequently in the text content web page and are related to describing what the web page content is about. The Convolutional Neural Network (CNN) recognises the pattern of words presented in the core portions of the word cloud image to categorise the category to which the web page belongs. The proposed model for web page classification has been compared with the other web page classification models. It shows the good result that achieved an accuracy of 85.6%. It can be used as a tool that helps to make identifying the category of web pages more accurate

Game and Online Video Streaming are the most viewed web pages. Users who spend too much time on these types of web pages may suffer from internet addiction. Access to Game and Online Video Streaming web pages should be restricted to combat internet addiction. A tool is required to recognise the category of web pages based on the text content of the web pages. Due to the unavailability of a matrix representation that can handle long web page text content, this study employs a document representation known as word cloud image to visualise the words extracted from the text content web page after data pre-processing. The most popular words are shown in large size and appear in the centre of the word cloud image. The most common words are the words that appear frequently in the text content web page and are related to describing what the web page content is about. The Convolutional Neural Network (CNN) recognises the pattern of words presented in the core portions of the word cloud image to categorise the category to which the web page belongs. The proposed model for web page classification has been compared with the other web page classification models. It shows the good result that achieved an accuracy of 85.6%. It can be used as a tool that helps to make identifying the category of web pages more accurate