Platform Environment Research Articles

Improving Faceted Search Results for Web-based Information Exploration

The World Wide Web (WWW), a fast-growing store, contains a significant portion of human knowledge. However, the sheer scale of the Web, along with the fact that it is decentralized, highly redundant, and largely inaccurate, causes the use of the knowledge is quite cumbersome. The present search engines (SEs) use the query, and the response lookup process is incapable of producing a precise result. Thus, researchers work beyond this paradigm to explore a new class of methods to seek information, which known as an exploratory search (ES). This ES is open-ended, and its faceted search (FS) improves the overall search process. The search engine presented in this study is running in the cloud computing platform environment. Its development is based on the idea of improving visual ES while exploring information on the Web. This notion reflects the process of seeking and combing the vast information by using the coordinated visualization method, apart from minimizing the effort spent in seeking information per query. Finally, we evaluate the proposed prototype against the Internet Movie Database (IMDb) search engine, an online database of information related to films, television programs, home videos, video games, and streaming content online including cast, production crew, and personal biographies, plot summaries, trivia, fan, and critical reviews, and ratings. The results show that the proposed search engine gives more relevant search results as compared with the others.

Stratigraphic analysis of Ponta do Mel carbonate platform, Albian-Cenomanian in Potiguar Basin, NE of Brazil

This work intends to understand how the Ponta do Mel carbonate platform was implanted, to characterize its depositional model and its evolution in the light of modern stratigraphy, as well as to understand the stratigraphic relations with beneath, overlapping and contemporary units, from wells and seismic data. The focus area of this study corresponds to a belt in the offshore portion of the Potiguar Basin, which runs parallel to the shoreline, about 40 km from it. The carbonate rocks of the Ponta do Mel Formation date from the Late Albian and, similar to what occurs in the other basins of the Brazilian continental margin, their deposition is related to the separation events of the African and South American continents. In the stratigraphic analysis of the wells (1D analysis), it was possible to characterize carbonate lithofacies, that are the predominant, as well as mixed and siliciclastic lithofacies. It was also possible to individualize shallowing upward cycles and cycle sets, which were associated with the identified systems tracts. In the seismic stratigraphic analysis, in the same way, four seismic facies were visualized, which, in general, are related to the tractive processes involved in the deposition of the carbonate, mixed and siliciclastic lithofacies, defined in the 1D analysis. The integration of the results from the well data analysis to the seismic stratigraphic analysis allowed to understand that the studied interval, which coincides, in lithostratigraphic terms, with the Ponta do Mel Formation, represents a complete depositional sequence, here referred to as the Albian-Cenomanian Sequence, formed by the Lowstand Systems Tract (LST), Transgressive Systems Tract (TST), and Highstand Systems Tract (HST). The sedimentation history of the Ponta do Mel unit started from the deposition of siliciclastic and carbonate facies in a shallow water platform environment. Then, with the increase in the accommodation space, in a transgressive phase, a thick interval of deeper water facies, represented mainly by calcilutites and pelitic rocks, was deposited. At the end of this interval, facies of coarser granulation, represented mainly by thick calcarenites layers, and sometimes calcirrudites, started to dominate the platform scenario, denoting a regressive phase and thus ending the Albian-Cenomanian Sequence.

Exploration of the Ecological Teaching Strategy for the Chinese Language in the Teaching Environment of Internet Cloud Platform

“Internet” education is a new form of education where Internet technology is combined with the education field. As a traditional discipline, Chinese language courses inevitably have a number of problems to be solved in the curriculum reform process. In this paper, the causes for the imbalances in the construction and operation of the ecological teaching mode are analyzed based on the Internet cloud platform environment. A teaching mode construction plan based on the mind map is proposed to provide a beneficial reference for the healthy and sound development of Chinese language teaching.

Palaeoenvironmental distribution of Ordovician dasycladaleans in the Tarim Basin, Xinjiang, China

Dasycladalean calcified green algae are common in the Phanerozoic, and have been reported from various lagoons and other environments of post‐Ordovician periods. There is a paucity of studies exploring palaeoecology of Ordovician dasycladaleans. Based on examination of 1,089 large thin sections from the Upper Ordovician Lianglitag Formation in 12 drilling wells in the Tarim Basin, Xinjiang, China, dasycladaleans mainly occur in platform margins, less abundant in open platforms, and absent from restricted platform tidal‐flats and lagoons. Lagoons used here are in a geological sense, referring to only water bodies enclosed by reefs and banks and featured by abnormal salinity and monotonous eurytopic animals. According to lithology and biota, the lagoons in previous studies are actually open platforms. Thus, this study shows that dasycladaleans are not adapted to lagoons, and this nature of them did not change with time. Statistical analysis shows that occurrence frequency of the Ordovician dasycladaleans is 52% in platform margin environments, 22% in open platform environments, and 0% in restricted platform environments.

Behavior of stiffened deck plates under hydrocarbon fire

Hydrocarbon fire accidents in offshore deck structures are of serious concern due to the confined environment of offshore oil drilling and production platforms, which limits the escape routes. One of the major structural components that are highly affected during fire accidents is the deck plates. The deck plates are usually designed as stiffened plates with high strength steel. The increase in temperature during fire changes the mechanical properties of steel significantly, which may result in strength and geometric instability of the structure. The present study aims to investigate the behavior of a stiffened steel deck plate under different hydrocarbon fire scenarios using sequential thermal and structural analyses using Ansys. The stress distribution and deformation of the plate in time scale are presented, discussing the highly affected region concerning the source of the fire. The fire rating for the steel deck under hydrocarbon fire is also suggested for different fire scenarios considered in the study. It was observed that the deformation of the deck plate varies to the area of deck plate in direct contact with fire, boundary conditions of the plate, and the area of steel plate with elevated temperature beyond which the mechanical properties of steel are highly affected. Also, the numerical investigations of the deck plate under the combined action of mechanical load and hydrocarbon fire had shown an increased deformation in the deck plates, which in turn reduces the fire rating of the plate under all fire scenarios. The effect of creep strain at high temperature on the response of the steel deck plate is also studied for the different fire loading cases.

Analysis of Distributed Measurement Method for Array Antenna Position

The measurement of the phase center of the airborne array antenna can directly affect the accuracy of the Earth observation system. However, the relationship between the relative motion of each sub-antenna cannot be accurately measured because of the adverse environment of the airborne platform. Therefore, it is necessary to find a suitable method to measure the motion parameters of distributed antennas and the phase center of each element antenna accurately in order to improve the imaging resolution of the Earth observation system. Distributed position and orientation system (POS) technology has high precision, but its measurement error will accumulate with time. So it needs to transfer and align continuously to achieve high-precision measurement. The paper introduces the distributed measurement method of measuring the array antenna position based on the combination of fiber Bragg grating (FBG) sensing technology and POS technology on the aircraft wing. The paper first introduces the technical scheme and principle, then carries out the structural design and method analysis. Next, the structural strength of the experimental model is checked and summarized.

Monte Carlo simulation driven time resolved photon fluence analysis

In this study, time resolved (TR) Monte Carlo (MC) simulation program code was run to generate photon fluencies with increasing time steps. TR MC simulation was performed for ten time series from 4 ps to 52 ps. Generated photon fluencies were transferred to the image analysis programming platform. Imaging device geometry was created for test purpose in image reconstruction programming platform environment. Forward model weight matrix functions were calculated during each time period for 38 sources, and 38 detectors according to the back-reflected imaging geometry. A homogenous phantom, which simulated tissue, was chosen. Depending on the homogeneous tissue optical properties, such as tissue absorption coefficient μa, and tissue scattering coefficient μs, photons emitted from the laser source positions; migrated differently inside the imaging tissue. Photons migrate inside the tissue by some multiplication factor of ps depending on the tissue type for each 100-micrometer vertical distance. Superficial photons come photodetector point fast, depend on the source-detector neighborhood distances and tissue optical properties, respectively. Time resolved diffuse optic tomography (TRDOT) imaging systems are an emerging biomedical optic imaging modality due to progressive electronic technologies are helping to build the systems faster and cheap. As such, emerging microelectronic technology is giving important access to design and implement compact laser sources and photodetector units. Vertical cavity surface emitting light (VCSEL) as laser source and single photon avalanche diode (SPAD) arrays as photodetector units are becoming in common use as important hardware tools for designers and researchers in this field. TR diffuse photon analysis should be done routinely for better understanding of TRDOT devices. Hence, MC simulation driven TR photon fluence analysis was done for such a purpose in this study.

Platform Imaginaries and Dutch Public Service Media

Over the past decade, public service media (PSM) have increasingly distributed content through digital platforms, most prominently YouTube, Facebook, Twitter, and Instagram. This article explores how this process of platformization, the integration of digital platforms in PSM, affects the public service remit of promoting key public values, such as universality, independence, and diversity. Specifically, it interrogates how Dutch PSM imagine platforms and their users, as well as how these imaginaries affect online public service strategies. The starting point is the notion of platform imaginaries: the ways in which social actors understand and organize their activities in relation to platform algorithms, interfaces, data infrastructures, moderation procedures, business models, user practices, and audiences. The analysis of these imaginaries builds on key public service policy documents and 15 interviews with employees from the NPO (Nederlandse Publieke Omroep; the governing body), the broadcasting associations, SKO (audience measurement service), and the Ministry of Education, Culture and Science. Our analysis of these materials shows that the online strategies of Dutch PSM are guided by three imaginations of platforms as (a) intermediaries that function on the basis of specific “laws,” (b) places where new audiences reside, and (c) powerful corporations that largely operate beyond the national sphere of influence. These platform imaginaries consist of a complex of interrelated observations, arguments, ideas, and practices, which are generally accepted and partly contested. The main bone of contention is how platform audiences should be seen. It has been difficult to reconcile competing ideas about audiences and, consequently, about the role of PSM in a platform environment, as broadcasters and policy makers lack the necessary (aggregate) data to determine how the media landscape is exactly changing and what the best public service response is. The conclusion of the article proposes a number of steps to resolve this deadlock.

Впровадження інноваційних технологій електронного навчання у процес засвоєння іноземних мов студентами аграрних ЗВО

The article reveals the implementation of innovative e-learning technologies in the process of mastering the discipline “Foreign language in the professional direction” by students of agricultural universities. Actual approaches to teaching humanities require the use of information-communication technologies (ICT) for educational purposes, that allows increasing the volume of educational materials and modernizing it with the help of multimedia presentation tools. The application of information-communication technologies contributes to the students’ mastering of foreign languages knowledge as a tool of communication in a global society and the development of their information competencies. Particular attention is paid to the characteristics of the content, structure and objectives of the electronic training course on learning English, German, Ukrainian and Russian as foreign languages for students of the distance learning form of Sumy National Agrarian University. The presented distance learning course is an innovative development exemplar, that provides learners’ study of educational textual, audio and video materials in the mode of independent work with a computer and facilitates regulating the order of interaction of students with a computer. Such interaction contributes to the improvement of the efficiency of the educational process through the introduction of new methods and means of teaching educational materials; stimulates students’ interest in the study of foreign languages through the use of innovative information-communication technologies; responsiveness of the feedback and the possibility of direct consultation with the teacher in the educational environment of the Moodle platform. The analysis of the experimental study results showed predominantly sufficient and high levels of humanitarian knowledge in experimental groups that were trained on the basis of the electronic course in the educational environment of Moodle platform; in contrast to the low and initial levels in the control groups.

Middle Eocene Rhodoliths from Tropical and Mid-Latitude Regions

During the greenhouse conditions prevailing in the early–middle Eocene, larger benthic foraminifers (LBF) spread out on carbonate platforms worldwide while rhodolith beds were scarcely represented. This reduction in rhodolith beds coincided with a relative decrease in coralline algal diversity and with a drastic decline of coral reef abundance. Middle Eocene rhodoliths from two tropical (San Jacinto Fold Belt in northern Colombia and Bahoruco Peninsula in the Dominican Republic) and two mid-latitude (Salinas Menores Ravine and Sierra del Zacatín in Southern Spain) localities were studied. Rhodolith rudstones in the tropical areas accumulated on relatively deep (several tens of meters) platform environments and were also redeposited in deeper settings downslope. In Salinas Menores, rhodoliths are dispersed in planktic foraminifer-rich marls. Miliolids are common in the infilling of constructional voids in these rhodoliths, indicating that they originally grew in shallow-water inner-shelf settings and afterwards they were transported to deeper environments. In Sierra del Zacatín, rhodoliths are scarce and coralline algae mainly occur as crusts attached to and intergrowing with corals. Here, LBF dominated shallow-water carbonate platforms. In terms of taxonomic composition, coralline algae of the order Hapalidiales are the most abundant in the study areas, followed by Sporolithales. The order Corallinales is poorly represented except in Salinas Menores, where it is relatively abundant and diverse. The impact of high temperatures due to high levels of atmospheric CO2 during the Eocene and widespread oligotrophic conditions, which favored formation of LBF-rich lithofacies, might account for the low abundance of rhodolith beds at mid and high latitudes. In contrast, the more productive equatorial regions would have favored the formation of rhodolith beds.

Analysis on Development Methodology of Modern Secure boot: Focusing on Platform Environment

Analysis on Development Methodology of Modern Secure boot: Focusing on Platform Environment

Classification and Association Rule Mining Technique for Predicting Chronic Kidney Disease

Background and objective: Chronic kidney disease (CKD) is one of the deadly diseases that can affect a lot of vital organs in the human body such as heart, liver, and lungs. Many individuals might be at early stage of kidney disease and not have any signs, which might lead to a sudden death. Previous research showed that early prediction of CKD is very important in the medical field for physicians’ decision-making and patients’ health and life. To this end, constructing an efficient prediction system for CKD, which is the goal of this paper, often reduces medical errors and overall healthcare cost. Methods: Classification and association rule mining techniques were integrated and utilised to construct an efficient system for predicting and diagnosing CKD and its causes using weka and SPSS as platform environments. In particular, five classification algorithms, namely, naive Bayes, decision tree, support vector machine, K-nearest neighbour, and JRip were used to achieve the research goal. In addition, Apriori algorithm was used to discover strong relationship rules between attributes. The experiments were conducted on real medical dataset collected from hospitals and patient monitoring systems. Results: The experiments achieved high accuracy of 98.50% for K-nearest neighbour (KNN) classifier and achieved 96.00% when using classier based on association rule (JRip). Conclusions: We conclude by showing that applying integrative approach by combining classification algorithms and association rule mining can significantly improve the classification accuracy and be more useful for CKD prediction. This research has also several theoretical and practical implications for the medical field and healthcare industry.

Resource Scarcity-Based Pricing for Cloud Manufacturing Service Platform

Based on the architecture and key technologies of cloud manufacturing (CMfg) are becoming increasingly perfect, It is of great significance for the development and application of CMfg to study the resource pricing under the specific transaction environment of cloud manufacturing service platform (CMSP). Hence, an optimal pricing strategy model adapted to the CMSP environment was proposed in this paper. Firstly, the transaction process of CMSP is analyzed, then the static Bayesian model is selected and improved from three aspects. Finally, through the solution of the model and parameter analysis, the advantages of the model are proved, and the pricing strategy is provided for the platform resource providers.

Preface

We are pleased to introduce the Proceedings of The industry conference «Closure of the Nuclear Fuel Cycle on the Basis of Fast Neutron Reactors» (11-12 October, 2018, Tomsk, Russia) organized by The State Atomic Energy Corporation ROSATOM.The conference is a logical continuation of the FR-17 conference and an element of the unified information and organizational environment of the new technological platform of nuclear power. At the conference the participants of Proryv Project, representatives of Federal authorities and regulators, industry experts and partners are invited to discuss the issues of key scientific and technological developments, the achieved technological superiority in the areas of the project and the competitiveness of the developed solutions.The received papers were reviewed according to the standards of the Journal of Physics: Conference Series and developed by organizers scientific criteria. This volume of journal includes 27 papers devoted to various branches of nuclear reactor physics and technology.List of Editors, Photos, Logos are available in this pdf.

Sentiment Analysis of Teachers Using Social Information in Educational Platform Environments

Learners’ opinions constitute an important source of information that can be useful to teachers and educational instructors in order to improve learning procedures and training activities. By analyzing learners’ actions and extracting data related to their learning behavior, educators can specify proper learning approaches to stimulate learners’ interest and contribute to constructive monitoring of learning progress during the course or to improve future courses. Learners-generated content and their feedback and comments can provide indicative information about the educational procedures that they attended and the training activities that they participated in. Educational systems must possess mechanisms to analyze learners’ comments and automatically specify their opinions and attitude towards the courses and the learning activities that are offered to them. This paper describes a Greek language sentiment analysis system that analyzes texts written in Greek language and generates feature vectors which together with classification algorithms give us the opportunity to classify Greek texts based on the personal opinion and the degree of satisfaction expressed. The sentiment analysis module has been integrated into the hybrid educational systems of the Greek school network that offers life-long learning courses. The module offers a wide range of possibilities to lecturers, policymakers and educational institutes that participate in the training procedure and offers life-long learning courses, to understand how their learners perceive learning activities and specify what aspects of the learning activities they liked and disliked. The experimental study show quite interesting results regarding the performance of the sentiment analysis methodology and the specification of users’ opinions and satisfaction. The feature analysis demonstrates interesting findings regarding the characteristics that provide indicative information for opinion analysis and embeddings combined with deep learning approaches yield satisfactory results.

Relative importance of certain factors affecting the thermal environment in subway stations based on field and orthogonal experiments

As subway stations in cold-climate regions typically have no heating systems, passengers often feel cold in such stations during winter. People desire a comfortable thermal environment, which is sensitive to certain factors. Therefore, identifying the key influencing factors is fundamental for improving thermal environment. In this study, two environmental factors (outdoor temperature and soil temperature) and four factors concerning operation conditions (train interval, platform screen door opening area, ridership, and the number of open piston vent shafts) were analyzed. An orthogonal experimental design was applied to efficiently identify influencing factors, assisted by field test and numerical study. Through range analysis and analysis of variance, it was discovered that the outdoor temperature and soil temperature were significant to the concourse environment and platform environment, respectively. Moreover, the analyses revealed the separate rankings of the relative importance of factors for the concourse environment and platform environment. Using these rankings, targeted strategies could be proposed more effectively for the controllable influencing factors in future research. The orthogonal experimental design is an efficient alternative to qualitative information collection for complex subway systems. This study provides new insights into subway thermal environment in winter, and is helpful in creating a more comfortable thermal environment.

An Empirical Study of Social Commerce Intention: An Example of China

The rise of social networks is rapidly spreading in China. Using social platforms, individuals are no longer just receivers of Internet information, as consumers generate and share contents with others. Social interaction and spontaneous promotion activities are carried out among consumers, but with the growth of traditional e-commerce slowing down, social commerce derived from social networks is gradually taking shape. Based on Hajli’s theoretical model, this study uses the social support theory and social commerce construct to study consumers’ social commerce behavior from a total of 1277 valid sample questionnaires that were distributed in a social platform environment in China. Through the empirical research evaluation using PLS-SEM, the statistical analysis results prove that social commerce constructs do promote social interaction of consumers. Such constructs have a positive effect on social support and social commerce intentions. In this regard, social support is embodied in information support and emotional support, and has a positive effect on social commerce intention. This study also conducts cross-cultural empirical comparisons. In comparison with Hajli’s research, this study has the same results in evaluation of Chinese samples. Among the users who exhibit social commerce intentions, social commerce construction is more important than social support.

Slope failure on a Cambrian carbonate platform, mass-flow transitions and resulting complex deposit

The quiet environment of the carbonate platform in the epeiric sea that existed during the Cambrian between present-day China and Korea was occasionally affected by processes that have hitherto not been described from such a setting. A conglomerate was found in the Middle Cambrian Gushan Formation near Chengouwan (Shandong Province, E China), eroded into the underlying sediments. The conglomerate is explained as a deposit consisting of material that was eroded up-slope when slope-failure took place, resulting in a slump that passed into a high-density debris flow with erosive power that passed, in turn, again into a slump. The slump came to rest when it lost its momentum on a less inclined part of the basin slope. Immediately after deposition, fluidization occurred in the lower part of the slump deposit, as proven by a funnel-shaped water-escape structure and a lateral injection of some metres long of brecciated material.

The Usage of E-Learning Challenges in the Namibia Educational Institutions: A Namibian Experience During Covid-19

In the Namibian educational environment during COVID-19 many schools were affected as a result of COVID-19 such as primary school, secondary school, as well as tertiary institutions experiencing challenges of eLearning platform usage as a means of facilitating teaching and learning among learners and students as most of them have to adapt to the new environment of the online platform. However, despite some schools had adopted and implemented eLearning the study discovered that many schools including universities do not fully utilize the platform implemented in their schools and as such many schools have been struggling to adapt to the new environment of online learning. The usage of eLearning across the globe has made work easier for both Lecturers, students, Teachers and Learners to access the system wherever there is internet connectivity. The study discovered that the adoption and implementation of e-learning have been a challenge in Namibian educational institutions due to the of lack ICT knowledge to utilize the e-learning platform, hence it takes time for staffs to acquaint themselves with the new technology adopted or implemented.

Multi-Core and Cross-Chain Evaluation Method Based on Multi-Core Mesh Collaboration Relationship

With the increasing economic globalization and the cooperation system of division of labor in the automobile industry, the multi-core network complex cooperative relationship between upstream and downstream enterprises and automobile manufacturing enterprises is gradually formed. Therefore, the automobile manufacturing enterprises at the core of the industrial chain, how to effectively control the upstream and downstream cooperative enterprises in the wide area manufacturing environment, has gradually become a severe challenge to the competition of the industrial chain. In view of the above problems, this article abandoned the idea of traditional single industry chain evaluation, and innovatively put forward a multi-core and cross-chain cooperative evaluation scheme based on the cloud platform environment. First of all, a multi-core and cross-chain cooperative relationship model is constructed through using the industrial cooperative relationship between upstream and downstream enterprise clusters and core enterprises. Combined with this model, a multi-level framework supporting multi-core and cross-chain evaluation based on cloud platform is explored and constructed. Then, taking the evaluation of the downstream marketing chain as an example, the first-level and second-level correlation index system based on multi-core and cross-chain is constructed one by one. Combined with the internal relationship between the two levels of index elements, this article establishes a corresponding multi-core and cross-chain index weight system. In order to solve the problem of multi-core and cross-chain evaluation in cloud environment, this article constructs a multi-core and cross-chain evaluation model based on cloud platform cooperation relationship through the semantic research of cooperation relationship between upstream and downstream enterprises and core enterprises. Then the corresponding cross-chain cooperative evaluation algorithm is given to solve the model. Finally, the feasibility and effectiveness of the multi-core and cross-chain evaluation method are verified by example and simulation. The method studied in this article provides a scientific and feasible decision support scheme to solve the problem of large-scale business collaboration evaluation for across-industry chains in wide area cloud manufacturing environment.