Search

This paper presents the development of an intelligent bicycle system with automatic gear shifting based on the user’s physiological information and environment sensing. The sensor data are collected during the ride, uploaded to the cloud database, and analyzed using random forest to derive the appropriate riding requirement. Our proposed technique performs the automatic gear shifting operation using inexpensive sensor components and embedded system development boards. The gear shifting module is designed and installed as an external device for the off-the-shelf bicycle, without the need to dismantle or modify the body structure. A bicycle riding specific online management interface is developed for web access and administration. It allows the cloud data being displayed and let users acquire and understand their riding behaviors. The experiments and evaluation in the outdoor environment have demonstrated the feasibility of the proposed intelligent gear shifting system.

YouTube is an application that contains a variety of video content in which there are various kinds of videos, both non-academic and academic. With its ease of use, which only requires web access, YouTube is an application that can be used as a learning medium. Likewise with the level of use among students, it allows YouTube to be a media in learning. In this study, using a qualitative approach through a questionnaire to 14 students of Electronical Engineering at the Akademi Teknologi Industri Dewantara Palopo who were given 20 statements using the Likert Scale, it was found that 11 students (78.57 percent) of the students' high interest, 3 students (21.43 percent) of the students 'very high interest, and none of the students' moderate interest, low interest and very low interest. This shows that student interest in studying on YouTube is very high.

Learning through distance mode very helpful for all of us nowdays. MOOCs plays very important roe in all aspects. Govt of india also launch so many platform for this type of various learning domain. Learning were also early incarnations of varios factors depends of nature of learning in the form of written distance learning. MOOCs are a recent development in online education and have several distinctive features compared to previous distance education models. MOOCs are online courses intended for massive interactive participation and free web access. Materials of many conventional course such as powerpoint presentations, online notes, readings, quizzes, and videos. MOOCs provide very interactive and formation of collaborative learning forums that will be very helpful to build community for students and teachers

The Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) Guidelines Committee develops evidence-based guidelines for practicing surgeons using standard methodology. Our objective was to survey the SAGES membership regarding guidelines’ quality, use, and value and identify topics of interest for new guideline development. An anonymous online survey was emailed in October 2019 to SAGES members. Respondents were asked 18 questions on their use and evaluation of SAGES guidelines and SAGES reviews and to provide suggestions for new guideline topics and areas of improvement. The survey was open for 6 weeks with a 3-week reminder. Of 548 responders, most were minimally invasive (41%) or general surgeons (33%). There was an even distribution between academic (46%) and non-academic practice (24% private practice, 23% hospital employed). Most used SAGES guidelines frequently (22%) or occasionally (68%) and found them to be of value (83%), above average quality (86%), and easy to use (74%). While most stated it was important (35%) or very important (58%) that SAGES continues to follow “rigorous guidelines development processes,” common suggestions were for more timely updates and improved web access. Of 442 overlapping topic suggestions, 60% fell into overarching categories of hernia, bariatric, robotic, HPB, and colorectal surgery. The SAGES guidelines are used frequently and valued by its users for their quality and content. Topics proposed by SAGES members and valuable insight from this survey can guide creation of new guidelines and refinement of established guidelines and processes.

Graphical abstract, Highlights • Routinely generated glycan data on reproductive system need systematic storage, ease of access, and data integration. • Currently, no database stores information on glycans associated with reproductive hormones including FSH. • FGDB: a unique repository for accessing and analyzing FSH glycan structures and their features. • The database also facilitates comparative analysis of glycan abundance from multiple samples., Glycomics, the study of the entire complement of sugars of an organism has received significant attention in the recent past due to the advances made in high throughput mass spectrometry technologies. These analytical advancements have facilitated the characterization of glycans associated with the follicle-stimulating hormones (FSH), which play a central role in the human reproductive system both in males and females utilizing regulating gonadal (testicular and ovarian) functions. The irregularities in FSH activity are also directly linked with osteoporosis. The glycoanalytical studies have been tremendously helpful in understanding the biological roles of FSH. Subsequently, the increasing number of characterized FSH glycan structures and related glycoform data has thrown a challenge to the glycoinformatics community in terms of data organization, storage and access. Also, a user-friendly platform is needed for providing easy access to the database and performing integrated analysis using a high volume of experimental data to accelerate FSH-focused research. FSH Glycans DataBase (FGDB) serves as a comprehensive and unique repository of structures, features, and related information of glycans associated with FSH. Apart from providing multiple search options, the database also facilitates an integrated user-friendly interface to perform the glycan abundance and comparative analyses using experimental data. The automated integrated pipelines present the possible structures of glycans and variants of FSH based on the input data, and allow the user to perform various analyses. The potential application of FGDB will significantly help both glycoinformaticians as well as wet-lab researchers to stimulate the research in this area. FGDB web access: https://fgdb.unmc.edu/

Kondisi pandemic COVID-19 membuat kegiatan perkuliahan bergeser menjadi kuliah secara daring. Untuk kegiatan perkuliahan teori relative lebih mudah dilakukan, namun untuk kegiatan praktek diperlukan sarana untuk dalam bentuk suatu simulator plant. Pada penelitian ini buat suatu simulator plant berbasis web dengan menggunakan PLC Logo! Siemens. Tahap awal dari proses ini adalah pembuatan simulator dengan menggunakan PLC Logo! secara local. Simulator ini menggambar hubungan sejumlah input digital dan output digital, yang diprogram menggunakan perangkat lunak Logo! Softcomfort. Selanjutnya dikembangkan web base simulator dengan menggunakan perangkat web editor, sehingga simulator yang dibuat dapat diakses melalui akses web oleh mahasiswa. Pengujian yang dilakukan meliputi pengujian fungsional secara local dan pengujian akses perangkat secara daring oleh mahasiswa. Hasil Pengujian menunjukkan bahwa web base simulator plan ini dapat digunakan sebagai alat bantu praktikum daring dalam lingkungan terbatas. Kata kunci: Web server, simulator, PLC

[CA] Realització del control d’stocks i altres activitats per web de l’editorial de jocs de taula ARRAKIS GAMES SL. Especialment l’accés web i control de clients., [ES] Realización del control de stocks y otras actividades por web de la editorial de juegos de mesa ARRAKIS GAMES SL. Especialmente el acceso web y control de clientes., [EN] Carrying out stock c ontrol and other activities through the web of the board game publisher ARRAKIS GAMES SL. Especially web access and customer control

We consider the problem of inferring the latency sensitivity of user activity in the context of interactive online services. Our method relies on natural experiments, i.e., leveraging the variation in user-experienced latency seen in the normal course. At its core, our technique, dubbed AutoSens, compares the distribution of latency of the user actions actually performed with the underlying distribution of latency independent of whether users choose to perform any action. This then yields a normalized user preference based on latency. We discuss ways of mitigating various confounders and then present our findings in the context of a large online email service, Microsoft Outlook Web Access (OWA).

RestDS2 is a Tango class which implements the C++ Tango REST API. It is developed at LHEP JINR to provide web access to Tango devices of the control system of the NICA accelerator complex. The module organization, its usage, results of tests, the access control system and development progress are described.

In recent years, it has become a common function to automatically distribute content suitable for each user by letting AI learn the user’s behavior pattern from the user’s web access log. On the other hand, browsing information by a bot is included in the web access log. There are malicious bots for the purpose of DDos attacks and illegal mass extraction of content. Furthermore, it is not uncommon for bots to disguise themselves as if they were showing their attributes to the user. In this study, we propose a method to discriminate between the user and the bot’s web access log in order to exclude the bot’s web access log from the analysis target.

Smartphone’s have created a communication revolution and studies have established that there is a major rise in the smartphone acceptance level Smartphone is mostly carried electronic devices where every comman person carry Smartphones and Search various Information on Mobile as per their needs and it is soon expected to outpace web access from personal computers. Mobile SEO considerations are becoming very significant. Ranking for the key terms in a specific industry on mobile devices, allows a business to take control of users who are continuously searching on the go. It is additionally evident, that offline media are influencing people searching on mobiles – eg. Consuming messages through TV, radio, billboards, print ads etc.

A site traffic analysis study of 24 newspaper sites from OurDigitalWorld’s (ODW) digital newspaper collection and the Ontario Community Newspaper (OCN) aggregate site was completed between 2016 and 2018. Digital newspapers provide access to past and current heritage news, vital statistics, and newspaper clippings. Securing grants from government agencies is essential for local heritage organizations to launch, build, and maintain their digitization initiatives in order to ensure the continuity of local culture and heritage of the past to people of the future. Thus, assessing the impact of (e.g. site usage, Web presence) and routes of Web access to digital newspaper collections is important to determine promotional strategies to increase usage and awareness of the collections. Recommendations were made for ODW, public libraries, and heritage organizations to increase the Web presence and awareness of ODW’s digital newspaper collection and to educate users about the various uses of the newspaper sites. Keywords: Digital newspaper collections, site traffic analysis, web presence, user awareness, user education

This paper explores the design trade-offs required for an Internet transport protocol to effectively support web access. It identifies a set of distinct transport mechanisms and explores their use ...

On January 18, 2018, U.S. Congress amended Section 508 of the Americans with Disabilities Act (ADA) to hold all Title IV U.S. institutions of higher education to Level AA compliance with web access...

In general the World Wide Web become the most useful information resource used for information retrievals and knowledge discoveries. But the Information on Web to be expand in size and density. The retrieval of the required information on the web is efficiently and effectively to be challenge one. For the tremendous growth of the web has created challenges for the search engine technology. Web mining is an area in which applies data mining techniques to deal the requirements. The following are the popular Web Mining algorithms, such as PageRanking (PR), Weighted PageRanking (WPR) and Hyperlink-Induced Topic Search (HITS), are quite commonly used algorithm to sort out and rank the search results. In among the page ranking algorithm uses web structure mining and web content mining to estimate the relevancy of a web site and not to deal the scalability problem and also visits of inlinks and outlinks of the pages. In recent days to access fast and efficient page ranking algorithm for webpage retrieval remains as a challenging. This paper proposed a new improved WPR algorithm which uses a Principal Component Analysis technique called (PWPR) based on mean value of page ranks. The proposed PWPR algorithm takes into account the importance of both the number of visits of inlinks and outlinks of the pages and distributes rank scores based on the popularity of the pages. The weight values of the pages is computed from the inlinks and outlinks with their mean values. But in PWPR method new data and updates are constantly arriving, the results of data mining applications become stale and obsolete over time. To solve this problem is a MapReduce (MR) framework is promising approach to refreshing mining results for mining big data .The proposed MR algorithm reduces the time complexity of the PWPR algorithm by reducing the number of iterations to reach a convergence point.

[ES] Actualmente el Museo cuenta con tres aplicaciones desarrolladas que necesitan mejorar su usabilidad y su puesta en funcionamiento para ser accesibles al público. - Realidad Aumentada: en esta aplicación se deberá mejorar los aspectos de interfaz con el usuario y facilidad de uso, así como resolver la compllación para Android e IOS y el acceso desde el Market. - Realidad Virtual: se deberá resolver el uso de la aplicación para diferentes dispositivos como Oculus Rift, Rift S y Quest. Así como obtener una versión accesible desde web. - Procesado de Audio: para esta aplicación deberá desarrollarse una interfaz de uso en web, programando en javascript para que la ejecución se realice en el cliente., [EN] Currently the Museum has three developed applications that need to improve their usability and their implementation to be accessible to the public. - Augmented Reality: this application should improve the aspects of the user interface and ease of use, as well as resolve the implementation for Android and IOS and access from the Market. - Virtual Reality: the use of the application for different devices such as Oculus Rift, Rift S and Quest must be resolved. As well as obtaining a version accessible from the web. - Audio Processing: for this application, an interface for use on the web must be developed, programming in javascript so that the execution takes place on the client.

Suggestion framework is assuming an inexorably significant part for web access; data over-burden is one of the most vital functions that clients experience on the Internet. Proposal framework can be characterized into the content-based methodology, cooperative sifting approach, half and half methodology. Content-based suggestion frameworks will suggest things dependent on the depiction of things and profiles of the client. A community-oriented separating suggestion framework will suggest things dependent on comparability between clients who have appraised similar things previously. Hybrid is a mix of substance based and communicant filtering approaches. Synergistic filtering is one of the topmost favored methods while executing proposal frameworks. In the movie proposal framework typical situation which we can see comprises a set of clients and a set of motion pictures. Rule mining strategies are broadly utilized in finding concealed connections, the connection between a set of things in exchange. In this audit, we have learned about Suggestion frameworks, Rule mining, Synergistic filtering likewise theories types, preferences, disservices, challenges, issues, and so on.

Society in present days is heavily using different forms of electronic communication. The amount of transferred data is growing and the need of quick reaction to cyber incidents is needed. The paper is contribution to this effort. There is possibility to save time and sources by concentration only sub group of potential threats caused by specific group of users. For that reason in this paper the possibility of the user clustering of a selected network on the base of their browsing behaviour is analyzed. The main source of information about selected group of users is web access log file where all necessary data are stored. The contribution also presents the concept of pre-processing of data from the selected specific files. As a method of machine learning was chosen a mean shift clustering algorithm which was applied for division of users to the specific collections on the base of their behaviour in the web environment. A presented method has a potential use in different areas of the cyber defence and also in applications where intelligent classification is required.

The current worldwide organizations request quicker, safer and bigger limit communication frameworks for their organization activities. Fiber optic innovation is relied upon to have a significant impact in this development. From medical services frameworks to the marine climate, fiber optic cable is ending up being a vital segment of mechanical foundation. Fiber optic link gatherings are likewise assuming an undeniably fundamental part in domestic applications. Mortgage holders presently expect rapid web access as a component of their everyday lives, and telecom and information industry pioneers are going to fiber optic innovation as a perfect, solid approach to offer anticipated types of assistance. Fiber optic innovation is overwhelming the market from quite a while because information rate is high, noteworthy distance transmission capacity. Fiber optic innovation is being demonstrated to be a greatly improved innovation than metal wire. Also there is less loss in signal and they are unsusceptible to obstruction. Less dormancy is a principle necessity in numerous applications, for example, exchanging of algorithmic superconductor and cloud computing etc. Fiber optics is utilized as information transmission medium in the vast bulk of the telecom organizations. This paper offers a blueprint of fiber optic correspondence frameworks along with their key advances, and conjointly talks about their mechanical pattern towards group of people yet to come.

The number of phishing sites is increasing and becoming a problem. General phishing sites often have very short lives. Phishers are thought to construct phishing sites using tools such as phishing kits. Phishing sites constructed using the same tools have similar website structures. We propose a new method based on the similarity of website structure information defined by the types and sizes of web resources that make up these websites. Our method can detect phishing sites that is not registered with blocklists or do not have similar URL strings with targeting legitimate sites. In addition, our method can identify phishing sites that differed in appearance but have similar website structures. Our method is particularly effective for detecting phishing sites constructed by the same phishers or using the same tools, as our method identifies structural similarity between websites. We conducted an evaluation to confirm the correctness of our assumption using phishing sites constructed using phishing kits and the PhishTank dataset. We found a large number of phishing sites that were structurally similar to phishing sites constructed using phishing kits. We applied our method to web access logs provided by ordinary Japanese citizens, and detected some unknown phishing sites. We have also examined the possibility of improving our method based on the importance of web resources, determined using the number of occurrences in web access logs.

The World Wide Web (WWW) becomes an important source for collecting, storing, and sharing the information. Based on the users query the traditional web page search approximately retrieves the related link and some of the search engines are Alta, Vista, Google, etc. The process of web mining defines to determine the unknown and useful information from web data. Web mining contains the two approaches such as data-based approach and process-based approach. Now a day the data-based approach is the widely used approach. It is used to extract the knowledge from web data in the form of hyper link, and web log data. In this study, the modern technique is presented for mining web access utility-based tree construction under Modified Genetic Algorithm (MGA). MGA tree are newly created to deploy the tree construction. In the web access sequences tree construction for the most part relies upon internal and external utility values. The performance of the proposed technique provides an efficient Web access sequences for both static and incremental data. Furthermore, this research work is helpful for both forward references and backward references of web access sequences.

Network information security is becoming a vital topic for many companies and research institutes with big data. Information leakage via cyber is rising rapidly. Many companies and research institutes managers have not realized the significance of information security. This paper describes an investigation of anomaly detection. We measure the format and content of the original web access log. The intent is to analyze types of access and distribution of access types of each user and to transform them into the type that can be learned by the machine. With the transformed log, a neural network model can be put in place to learn how to detect an abnormal access log and alert the relative computer managers. The main goal is to design a model that can assist computer managers to do the anomaly detection job.

Regardless of the setting, edge computing has drawn much attention from both the academic and industrial communities. For edge computing, content delivery networks are both a concrete and production deployable use case. While viable at the WAN or telco edge scale, it is unclear if this extends to others, such as in home WiFi routers, as has been assumed by some. In this work-in-progress, we present an initial study on the viability of using smart edge WiFi routers as a caching location. We describe the simulator we created to test this, as well as the analysis of the results obtained. We use 1 day of e-commerce web log traffic from a public data set, as well as a sampled subset of our own site - part of an ecosystem of over 111 million users. We show that in the best case scenario, smart edge routers are inappropriate for e-commerce web caching.

Aim of this paper is to analyse possibility of cluster users of a selected network on the base of their browsing behaviour. Source of information is web access log file which consist of all the important information. Paper presents idea of pre-processing of information from a web access log file and it also presents K-means clustering algorithm used for identification of user groups on the base of their behaviour on the internet. Presented methodology can be used in the area of cyber defence also for other tasks.