Adaptive Web Research Articles

Website Hosting Using Amazon Web Services for Internet of Things Applications

Exceptionally accessible and versatile web hosting can be an intricate and costly recommendation. Conventional adaptable web architectures have not just expected to execute complex answers to guarantee significant degrees of dependability. However, they have likewise required a precise traffic conjecture to give an undeniable degree of client assistance. Thick pinnacle traffic periods and wild swings in rush hour gridlock designs bring about low utilization paces of costly equipment, yielding high working expenses to keep up inactive equipment, just as a wasteful utilization of capital for underutilized equipment.

Design and Evaluation of the Electronic Patient-Generated Index.

The patient-generated index (PGI) is an individualized measure of health-related quality of life. Previous work testing the PGI in the oncology setting identified threats to content validity due to navigational and computational completion errors using the paper format. The purpose of this pilot study was to refine and evaluate the usability and acceptability of an electronic PGI (ePGI) prototype in the outpatient radiation oncology setting. This pilot study used adaptive agile web design, cognitive interview, and survey methods. Three iterations of testing and refining the ePGI were required. Fifteen patients completed the refined ePGI using touch screen tablets with little or no coaching required. Nearly all participants rated the ePGI as "easy" or "very" easy to use, understand, and navigate. Up to one half stated they did not share this type of information with their clinician but felt the information on the ePGI would be useful to discuss when making decisions about their care. Eight clinicians participated, all of whom felt the ePGI was a useful tool to initiate dialogue about quality of life issues, reveal infrequent or unusual effects of treatment, and assist with symptom management. The pilot study indicates the ePGI may be useful for use at the point of care. Larger studies are needed to explore the influence it may have in decision-making and restructuring patient/provider communication.

The Effects of Adaptive Educational Web Environment on Students’ Academic Achievement and Motivation

Bu çalışmanın amacı uyarlanabilir olan, uyarlanabilir olmayan ve yüz yüze öğrenme etkinlikleri ile desteklenmiş uyarlanabilir web temelli öğrenme ortamlarının, öğrencilerin başarıları ve motivasyonları üzerindeki etkilerinin farklı olup olmadığını belirlemektir. Araştırmada iki faktörlü 3x2’lik faktöriyel desen kullanılmıştır. Araştırma deseninin birinci faktörü deneysel işlemleri içeren öğrenme ortamı (uyarlamaların bulunduğu web temelli öğrenme ortamı, uyarlamaların bulunmadığı web temelli öğrenme ortamı ve yüzyüze öğrenme etkinlikleri ile desteklenmiş uyarlamaların olduğu web temelli ortamı), ikinci faktörü ise öntest ve sontest ölçümlerini içeren ve başarının değişimini ortaya koyan tekrarlı ölçümlerdir. Araştırmanın bağımlı değişkenleri başarı ve motivasyondur. Araştırma 2013-2014 öğretim yılı bahar döneminde Sakarya Üniversitesi Eğitim Fakültesi Sınıf Öğretmenliği, İlköğretim Matematik Öğretmenliği ve Fen Bilgisi Öğretmenliği bölümlerinin 2. sınıfında öğrenim görmekte olan ve Temel Bilgi Teknolojisi Kullanımı dersini alan 72 öğrenci ile yürütülmüştür. Elde edilen bulgulara göre yüzyüze öğrenme etkinlikleri ile desteklenmiş uyarlamaların olduğu web temelli ortamdaki başarı anlamlı olarak daha yüksektir. Farklı öğrenme ortamlarındaki öğrencilerin ürünlerinin incelenmesi sonucunda kullanılan ortam türlerinin öğrencilerin rubrik başarı puanlarını etkilemediği ortaya konmuştur. Ayrıca kullanılan öğrenme ortamlarına göre öğrencilerin motivasyonları arasında farklılık olmadığı tespit edilmiştir.

Liquid brains, solid brains.

Cognitive networks have evolved a broad range of solutions to the problem of gathering, storing and responding to information. Some of these networks are describable as static sets of neurons linked in an adaptive web of connections. These are 'solid' networks, with a well-defined and physically persistent architecture. Other systems are formed by sets of agents that exchange, store and process information but without persistent connections or move relative to each other in physical space. We refer to these networks that lack stable connections and static elements as 'liquid' brains, a category that includes ant and termite colonies, immune systems and some microbiomes and slime moulds. What are the key differences between solid and liquid brains, particularly in their cognitive potential, ability to solve particular problems and environments, and information-processing strategies? To answer this question requires a new, integrative framework. This article is part of the theme issue 'Liquid brains, solid brains: How distributed cognitive architectures process information'.

Проблемы проектирования геопортальных интерфейсов

The article is devoted to a detailed analysis of the problem of designing graphic geoportal interfaces. The authors formulated the basic points for solving problems in this field, having given the rationale and detailed description of each of them. The emphasis is made on the flexible arrangement of the design and development of interfaces, aiming at the future realities, at the human centricity of the interface design process, at the need for cross-platform adaptive web interfaces, at the preference to use proprietary and third-party software modules over the implementation of spatial data management systems. Lists of basic functional and quality requirements for graphical interfaces of geoportals are given. The geoportal “Natural and cultural heritage of Mordovia” is presented as an illustrative example of the various implementation of graphical user web interfaces. An experimental assessment of the effectiveness of measures to improve geoportal graphical interfaces is given. It is shown that properly over-thought interfaces of geoportal systems can contribute to solving various kinds of problems in many fields.

Formal Specification of Adaptable Semantic Web Services Composition

This article proposes a formal specification method for Web services composition based on context-aware semantic planning graph technique. The authors first use a graph planning technique to conceive an adaptable semantic Web services composition. They use an ontology based context model for extending Web services descriptions with information about the most suitable context for its use. Then, the composition problem is transformed into a semantic context aware graph planning problem to build a set of best-composed Web services based on the user's context. Because of the error-prone nature of the Web services composition process, and with the integration of context information in this process, the complexity of Web services-based systems is increasing, hence the need for formal specification and verification approaches of such systems. The authors seek to use CCA calculus, to formalize Web services composition expressed in terms of adaptable OWL-S, and transform the description of workflow patterns into the description patterns in terms of CCA, a calculus for context-aware ambients.

Adaptive mobile Web server framework for Mist computing in the Internet of Things

PurposeThe distant data centre-centric Internet of Things (IoT) systems face the latency issue especially in the real-time-based applications, such as augmented reality, traffic analytics and ambient assisted living. Recently, Fog computing models have been introduced to overcome the latency issue by using the proximity-based computational resources, such as the computers co-located with the cellular base station, grid router devices or computers in local business. However, the increasing users of Fog computing servers cause bottleneck issues and consequently the latency issue arises again. This paper aims to introduce the utilisation of Mist computing (Mist) model, which exploits the computational and networking resources from the devices at the very edge of the IoT networks.Design/methodology/approachThis paper proposes a service-oriented mobile-embedded Platform as a Service (mePaaS) framework that allows the mobile device to provide a flexible platform for proximal users to offload their computational or networking program to mePaaS-based Mist computing node.FindingsThe prototype has been tested and performance has been evaluated on the real-world devices. The evaluation results have shown the promising nature of mePaaS.Originality/valueThe proposed framework supports resource-aware autonomous service configuration that can manage the availability of the functions provided by the Mist node based on the dynamically changing hardware resource availability. In addition, the framework also supports task distribution among a group of Mist nodes.

Exchange of Geometric Information Between Applications

The Web Geometry Laboratory (WGL) is a collaborative and adaptive e-learning Web platform integrating a well known dynamic geometry system. Thousands of Geometric problems for Geometric Theorem Provers (TGTP) is a Web-based repository of geometric problems to support the testing and evaluation of geometric automated theorem proving systems. The users of these systems should be able to profit from each other. The TGTP corpus must be made available to the WGL user, allowing, in this way, the exploration of TGTP problems and their proofs. On the other direction TGTP could gain by the possibility of a wider users base submitting new problems. Such information exchange between clients (e.g. WGL) and servers (e.g. TGTP) raises many issues: geometric search - someone, working in a geometric problem, must be able to ask for more information regarding that construction; levels of geometric knowledge and interest - the problems in the servers must be classified in such a way that, in response to a client query, only the problems in the user's level and/or interest are returned; different aims of each tool - e.g. WGL is about secondary school geometry, TGTP is about formal proofs in semi-analytic and algebraic proof methods, not a perfect match indeed; localisation issues, e.g. a Portuguese user obliged to make the query and process the answer in English; technical issues-many technical issues need to be addressed to make this exchange of geometric information possible and useful. Instead of a giant (difficult to maintain) tool, trying to cover all, the interconnection of specialised tools seems much more promising. The challenges to make that connection work are many and difficult, but, it is the authors impression, not insurmountable.

Non-functional parameters and automatic generation and publishing for Web service description improvement

The concept of intention is usually addressed only from a service user side. Moreover, the concepts of context and Quality of Service (QoS) are not attributed great importance in the various stages of a Web service life cycle. Consequently, this lack of information in service descriptions leads to a significant semantic loss, which negatively affects the accuracy of their discovery. In order to overcome these problems, we proposed to integrate these nonfunctional properties (context, QoS and intention) within the Web Service descriptions. To automatically generate and publish these descriptions, we propose in this paper a framework called Adaptable Intentional Web Service-Publishing Framework. This framework semantically annotates the OWL-S description by nonfunctional properties. Moreover, we ensure the semantic annotation through an automatic detection method of service intention developed using Natural Language Processing techniques. As for the publication task, we extended the UDDI register so that it encompasses intentional, contextual and QoS information.

Research on Library Recommendation Reading Service System Based on Adaptive Algorithm

In order to facilitate the user recommendation service system of library access, predict the future number of users and hobbies, and provide decision-making basis for e-commerce enterprises, this paper designs an adaptive Web Recommendation System Framework Self-Adaptive Websites Recommendation System. It is divided into two parts: offline parts and online components. The former includes data collection, preprocessing and frequent access pattern mining. The latter generates recommendation sets based on existing mining rules and user’s current access behaviour of offline components, and realizes adaptive online recommendation service. Taking the university library as an example, this paper uses the sliding window method to obtain the current user access path, then use association rule algorithm based on aggregation tree to generate association rule set. After getting association rule set, we use recommendation set generation algorithm to generate recommendation set. The results show that both theoretical analysis and experiment indicate that the method is effective and feasible.

Уніфікований процес композиції адаптивного сервісу в семантичному Веб-середовищі

Уніфікований процес композиції адаптивного сервісу в семантичному Веб-середовищі

Inspiring process innovation via an improved green manufacturing metric: iGAL

Following our goal to devise a unified green chemistry metric that inspires innovation in sustainable drug manufacturing across the pharmaceutical industry, we herein disclose joint efforts by IQ, the ACS GCI PR and academia, leading to the significantly improved ‘innovation Green Aspiration Level’ (iGAL) methodology. Backed by the statistical analysis of 64 drug manufacturing processes encompassing 703 steps across 12 companies, we find that iGAL affords an excellent proxy for molecular complexity and presents a valuable molecular weight-based ‘fixed’ goal. iGAL thereby accurately captures the impact of green process inventiveness and improvements, making it a useful innovation-driven green metric. We conclude by introducing the comprehensive, yet easy-to-use and readily adaptable Green Chemistry Innovation Scorecard web calculator, whose graphical output clearly and effectively illustrates the impact of innovation on waste reduction during drug manufacture.

Traditional and mobile devices in computer assisted web-interviews

Abstract Transport studies constantly rely on surveys among travelers. Computer assisted web interview is the most popular survey mode. However, respondents complete online surveys nowadays using smartphones, tablets or traditional devices. We address three questions related to this development: how important are mobile respondents; how to deal with mobile respondents; and what is the effect of mobile response in a survey? In order to answer these questions, we used a series of information dense meta-analyses and state-of-the-art literature. Our results reveal that one out of every three respondents used a mobile device in 2016. The profile of mobile respondents adheres to the profiles of hard-to-reach candidates. Four design strategies for mixed-device surveys are identified and discussed. By taking an active approach to mixed-device surveys, multiple issues associated with mobile response can be overcome, i.e. differences in completion times and break-offs can be minimized. Mobile respondents appreciate redesigned surveys. Our results are in favor of facilitating mobile respondents with an adaptive or responsive web design in surveys.

Automatic Adaptable Intentional Service Generating and Publishing Framework using OWL-S Annotation

This article presents a framework for automatic generation and publishing of these service descriptions in a register. This framework is an Adaptable Intentional Web Service-Publishing Framework (AIWS-PF). The authors opted for automatic generation because the service supplier is unaware of this new structure of services. For this reason, they chose to automatically generate the description of intentional adaptable service using semantic annotations and the automatic detection of service intention through Natural Language Processing techniques (NLP). Moreover, the authors proposed an extension of UDDI register so that it saves intentional, contextual and QoS information.

Survey on Quality of Observation within Sensor Web systems

The Sensor Web vision refers to the addition of a middleware layer between sensors and applications. To bridge the gap between these two layers, Sensor Web systems must deal with heterogeneous sources, which produce heterogeneous observations of disparate quality. Managing such diversity at the application level can be complex and requires high levels of expertise from application developers. Moreover, as an information-centric system, any Sensor Web should provide support for Quality of Observation (QoO) requirements. In practice, however, only few Sensor Webs provide satisfying QoO support and are able to deliver high-quality observations to end consumers in a specific manner. This survey aims to study why and how observation quality should be addressed in Sensor Webs. It proposes three original contributions. First, it provides important insights into quality dimensions and proposes to use the QoO notion to deal with information quality within Sensor Webs. Second, it proposes a QoO-oriented review of 29 Sensor Web solutions developed between 2003 and 2016, as well as a custom taxonomy to characterise some of their features from a QoO perspective. Finally, it draws four major requirements required to build future adaptive and QoO-aware Sensor Web solutions.

Creating adaptive web recommendation system based on user behavior

The paper proposes adaptive web recommendation system based on user behavior. The proposed system uses expert system to evaluating and recommending suitable items of content. Relevant items are subsequently evaluated and filtered based on history of visited items and user´s preferred categories of items. Main parts of the proposed system are presented and described. The proposed recommendation system is verified on specific example.

DIETOS: A dietary recommender system for chronic diseases monitoring and management

Background and objectiveUse of mobile and web-based applications for diet and weight management is currently increasing. However, the impact of known apps on clinical outcomes is not well-characterized so far. Moreover, availability of food recommender systems providing high quality nutritional advices to both healthy and diet-related chronic diseases users is very limited. In addition, the potentiality of nutraceutical properties of typical regional foods for improving app utility has not been exerted to this end. We present DIETOS, a recommender system for the adaptive delivery of nutrition contents to improve the quality of life of both healthy subjects and patients with diet-related chronic diseases. DIETOS provides highly specialized nutritional advices in different health conditions. MethodsDIETOS was projected to provide users with health profile and individual nutritional recommendation. Health profiling was based on user answers to dynamic real-time medical questionnaires. Furthermore, DIETOS contains catalogs of typical foods from Calabria, a southern Italian region. Several Calabrian foods have been inserted because of their nutraceutical properties widely reported in several quality studies. DIETOS includes some well known methods for user profiling (overlay profiling) and content adaptation (content selection) coming from general purpose adaptive web systems. ResultsDIETOS has been validated for usability for both patients and specialists and for assessing the correctness of the profiling and recommendation, by enrolling 20 chronic kidney disease (CKD) patients at the Department of Nephrology and Dialysis, University Hospital, Catanzaro (Italy) and 20 age-matched healthy controls. Recruited subjects were invited to register to DIETOS and answer to medical questions to determine their health status. Based on our results, DIETOS has high specificity and sensitivity, allowing to determine a medical-controlled user’s health profile and to perform a fine-grained recommendation that is better adapted to each user health status. The current version of DIETOS, available online at http://www.easyanalysis.it/dietos is not intended to be used by general users, but only for review purpose. ConclusionsDIETOS is a novel food recommender system for healthy people and individuals affected by diet-related chronic diseases. The proposed system builds a users health profile and, accordingly, provides individualized nutritional recommendations, also with attention to food geographical origin.

The heat is on: Genetic adaptation to urbanization mediated by thermal tolerance and body size.

Worldwide, urbanization leads to tremendous anthropogenic environmental alterations, causing strong selection pressures on populations of animals and plants. Although a key feature of urban areas is their higher temperature ("urban heat islands"), adaptive thermal evolution in organisms inhabiting urban areas has rarely been studied. We tested for evolution of a higher heat tolerance (CTMAX ) in urban populations of the water flea Daphnia magna, a keystone grazer in freshwater ecosystems, by carrying out a common garden experiment at two temperatures (20°C and 24°C) with genotypes of 13 natural populations ordered along a well-defined urbanization gradient. We also assessed body size and haemoglobin concentration to identify underlying physiological drivers of responses in CTMAX . We found a higher CTMAX in animals isolated from urban compared to rural habitats and in animals reared at higher temperatures. We also observed substantial genetic variation in thermal tolerance within populations. Overall, smaller animals were more heat tolerant. While urban animals mature at smaller size, the effect of urbanization on thermal tolerance is only in part caused by reductions in body size. Although urban Daphnia contained higher concentrations of haemoglobin, this did not contribute to their higher CTMAX . Our results provide evidence of adaptive thermal evolution to urbanization in the water flea Daphnia. In addition, our results show both evolutionary potential and adaptive plasticity in rural as well as urban Daphnia populations, facilitating responses to warming. Given the important ecological role of Daphnia in ponds and lakes, these adaptive responses likely impact food web dynamics, top-down control of algae, water quality, and the socio-economic value of urban ponds.

WEB ADAPTIF MENGGUNAKAN ALGORITMA FREQUENT WEB DOCUMENT PATTERN (FWDP) PADA WEBSITE UNIVERSITAS RESPATI

An Institution Website is a profile of an institution for the people who directly or indirectly related to the agency. Some problems related to the performance of a web are the speed and accuracy of presentation of the information needed by the community.Technology of adaptive Website is one of technology that attempted to simplify the user to find the information that need from a website. The technology is based on web log. Log is used as a reference for the access patterns are realized in the form of recommendations links to information that is often accessed by people from the website. Log data processing performed by implemented the FWDPTree algorithm to get a particular tree structure that stores information page along with the frequency of occurrence, then performed datamining by algorithm FWDP-mine.This Technology has been able to reach information more quickly There are still weaknesses in this system. The adaptive system has not been able to make the process of adaptation in realtime, this is due to the need for time to process large log data in order to obtain the user's access patterns, while the session that occurred during the offline process does not processed. Keywords— Adaptive web, Data Log, FWDP Algorithm, Association Rule, Realtime

Knowledge Discovery in Academia: A Survey on Related Literature

Educational Data Mining (EDM) is an emerging, promising and interdisciplinary research area, which has an immense impact on student’s academic performance by analyzing educational data for improving teaching, learning experiences and, of course improving the institutional effectiveness. One of the most key facts in educational data is the significant growth of data and these statistics are rising swiftly without any benefit to the institution. In this short study, different studies conducted on the theme “EDM and interdisciplinary” were consulted and examined. Most of the authors have conducted studies on different systems which mostly include e-learning systems, student performance recommender systems (SPRS), conventional educational systems, adaptive and intelligent web based educational systems. The study of the past research has revealed that immense progress has been done in various domains of education and in different phases as well, but there still exists reasonable gap which needs to be examined in details as a future research study. Keywords: Educational Data Mining; Neural Networks; Classification; Association rules; Clustering; Prediction; k-means.