An Optimization Method for User Interface Components Based on Big Data

2017 ◽  
pp. 37-42
Author(s):  
Fei Lyu ◽  
Lei Ren ◽  
Yi Du
Keyword(s):  
Big Data ◽  
User Interface ◽  
Optimization Method

scholarly journals Microbiome Search Engine 2: a Platform for Taxonomic and Functional Search of Global Microbiomes on the Whole-Microbiome Level

mSystems ◽  
2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Gongchao Jing ◽  
Lu Liu ◽  
Zengbin Wang ◽  
Yufeng Zhang ◽  
Li Qian ◽  
...  
Keyword(s):  
Big Data ◽  
User Interface ◽  
Search Engine ◽  
Functional Similarity ◽  
Metagenomic Data ◽  
Data Sets ◽  
Data Space ◽  
Link Type ◽  
Database Platform ◽  
Microbiome Data

ABSTRACT Metagenomic data sets from diverse environments have been growing rapidly. To ensure accessibility and reusability, tools that quickly and informatively correlate new microbiomes with existing ones are in demand. Here, we introduce Microbiome Search Engine 2 (MSE 2), a microbiome database platform for searching query microbiomes in the global metagenome data space based on the taxonomic or functional similarity of a whole microbiome to those in the database. MSE 2 consists of (i) a well-organized and regularly updated microbiome database that currently contains over 250,000 metagenomic shotgun and 16S rRNA gene amplicon samples associated with unified metadata collected from 798 studies, (ii) an enhanced search engine that enables real-time and fast (<0.5 s per query) searches against the entire database for best-matched microbiomes using overall taxonomic or functional profiles, and (iii) a Web-based graphical user interface for user-friendly searching, data browsing, and tutoring. MSE 2 is freely accessible via http://mse.ac.cn. For standalone searches of customized microbiome databases, the kernel of the MSE 2 search engine is provided at GitHub (https://github.com/qibebt-bioinfo/meta-storms). IMPORTANCE A search-based strategy is useful for large-scale mining of microbiome data sets, such as a bird’s-eye view of the microbiome data space and disease diagnosis via microbiome big data. Here, we introduce Microbiome Search Engine 2 (MSE 2), a microbiome database platform for searching query microbiomes against the existing microbiome data sets on the basis of their similarity in taxonomic structure or functional profile. Key improvements include database extension, data compatibility, a search engine kernel, and a user interface. The new ability to search the microbiome space via functional similarity greatly expands the scope of search-based mining of the microbiome big data.

scholarly journals A Cross-Media Retrieval Method Based on Semisupervised Learning and Alternate Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Junzheng Li ◽  
Wei Zhu ◽  
Yanchun Yang ◽  
Xiyuan Zheng
Keyword(s):  
Big Data ◽  
Optimization Method ◽  
Semisupervised Learning ◽  
Multimedia Data ◽  
Internet Technology ◽  
Retrieval Method ◽  
Cross Media ◽  
Media Learning ◽  
Public Datasets ◽  
Alternate Optimization

With the continuous advancement in Internet technology, we are gradually stepping into an era of big data where a large amount of multimedia data is produced every day at any given time. In order to properly utilize these data, the research on big data is also constantly evolving. Cross-media retrieval is a prime example, aiming at retrieving various forms of data, for example, text, image, audio, video, and other forms. The most difficult task for cross-media retrieval lies in the potential correlation between different modalities data and how to overcome the semantic gap. This paper proposes a cross-media retrieval method based on semisupervised learning and alternate optimization (SMDCR) to overcome the abovementioned difficulties, thereby improving the retrieval accuracy. The main advantage of this method is to make full use of the degree of correlation between the semantic information of the labeled data and unlabeled data. Simultaneously, we combine the linear regression term, correlation analysis term, and feature selection term into a joint cross-media learning framework. Furthermore, the projection matrices are trained with the alternate optimization method. Finally, experimental results on two public datasets demonstrate the effectiveness of the proposed method.

scholarly journals An assessment of the operational freeware management tools for multi-reservoir systems

2018 ◽  
Vol 19 (4) ◽  
pp. 995-1007 ◽  
Author(s):  
Evangelos Rozos
Keyword(s):  
User Interface ◽  
Simulation Optimization ◽  
Probabilistic Approach ◽  
Optimization Method ◽  
Dynamic Nature ◽  
Management Tools ◽  
Resources Management ◽  
Reservoir Systems ◽  
Computer Codes ◽  
The Impact

Abstract Water resources management is one of the most challenging problems of the water sector. The complexity of this problem is mostly attributed to the dynamic nature of the natural hydrosystems, of which the inputs are characterized by stochasticity. The assessment of the impact of alternative decisions on such a system requires a probabilistic approach. It is evident that this is a very demanding task even for a single-reservoir system, not to mention multi-reservoir systems. For this reason, computer codes have been developed since the early 1970s to help with this procedure. Nowadays, these codes have evolved into decision support platforms that offer a user interface to assist the pre-processing and the post-processing. However, the majority of the available tools are commercial and require a considerable amount of money for a licence. Thankfully, a few freeware tools that are based on the simulation–optimization method and with a modern user interface exist. The objective of this study is to assess the performance of these freeware tools. The assessment is based both on an analysis of the theoretical basis and on an application of the models on a simplified representation of the Athens water supply system.

scholarly journals Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete’s Competitive Ability Evaluation

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Feng Guo ◽  
Qingcheng Huang
Keyword(s):  
Neural Network ◽  
Big Data ◽  
Particle Swarm Optimization ◽  
Competitive Ability ◽  
Rbf Neural Network ◽  
Pso Algorithm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Technical Ability ◽  
Real Value

The advanced analysis and research methods of big data will provide theoretical support for the integration of athletes’ talent training. The advanced technological methods of big data will also give full play to the advantages of tapping the potential of talents and actively improve the success rate of grassroots young athletes. This paper proposes an improved Adaptive Particle Swarm Optimization (APSO) algorithm for the optimization of radial basis function (RBF) neural network parameters. The basic structure of RBF neural network is introduced, and the influence of parameters on the performance of RBF neural network is analyzed. The optimization method of RBF neural network parameters is analyzed, and Particle Swarm Optimization (PSO) algorithm is selected as the parameter optimization method of RBF neural network. In addition, an improved APSO algorithm is proposed according to the advantages and disadvantages of PSO and compared with other PSO algorithms. Experimental results show that the improved PSO algorithm has better accuracy. The improved PSO algorithm is applied to the parameter optimization of RBF neural network, and the experimental results prove the superiority of the proposed method. By weighting the second-level indicators, the weights of the second-level indicators of athletes’ competitive ability are in order of skill, athletic quality, psychological ability, and artistic expression. Skills are the main factors that determine the level of competitive ability. Sports quality and psychological ability are important guarantees for supporting the normal performance of skills. Artistic expressiveness is a supplementary factor for competitive ability. The various elements cooperate with each other and interact with each other. The indicators do not exist alone but cooperate with each other to support the formation of the entire athletic ability system. In the content of the competitive ability index of excellent athletes, technical ability is the core, and sports quality, psychological ability, and artistic performance ability ultimately exist to serve the improvement of technical ability. The competition scores of the 100 athletes counted in this article are all above 9.0 points. The difference between APSO-RBF’s action quality scores of 100 athletes and the real value is less than 3%. In terms of movement difficulty, the APSO-RBF evaluated athletes’ scores are close to 1.65 points, which is basically the same as the real value.

scholarly journals Project Maintenance Effort Optimization Based on Flexible JDP Model for OSS Fault Big Data

2019 ◽  
Vol 5 (1) ◽  
pp. 66-75
Author(s):  
Yoshinobu Tamura ◽  
Shigeru Yamada
Keyword(s):  
Big Data ◽  
Project Management ◽  
Diffusion Process ◽  
Open Source Software ◽  
Cost Optimization ◽  
Jump Diffusion ◽  
Optimization Method ◽  
Project Managers ◽  
Operation Performance ◽  
Maintenance Time

We focus on double irregular fluctuations under jump in the operation performance of open source software (OSS). Then, this paper proposes the method of cost optimization based on flexible jump diffusion process (JDP) model in order to consider several noisy cases for maintenance effort in the OSS operation with version upgrade. In particular, we discuss a method of effort optimization based on the flexible JDP model with the unexpected irregular continuous fluctuation in version upgrade for OSS projects. The proposed method will be useful for the OSS project managers to decide the optimal version upgrade and maintenance time of OSS under the OSS project management. Furthermore, we show several analysis examples of the optimization method considering the properties of version upgrade under OSS projects.

scholarly journals Research on the Optimization Method of Visual Effect of Outdoor Interactive Advertising Assisted by New Media Technology and Big Data Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhinan Gan ◽  
Sang-Bing Tsai
Keyword(s):  
Big Data ◽  
New Media ◽  
Emotional Experience ◽  
Optimization Method ◽  
Interactive Design ◽  
Internet Technology ◽  
Visual Effect ◽  
Media Environment ◽  
Communication Method ◽  
Interactive Advertising

Along with the development and promotion of Internet technology, new media are increasingly diversified, enriching and changing our lives. This paper focuses on outdoor interactive advertising as a communication method, analyzing its creative features and applications. Unlike traditional advertising, where audiences receive passively, new media interactive advertising establishes a more direct communication method for consumers and products, creating different sensory stimulation and emotional experience environments according to the characteristics of products and conducting a series of interactions with consumers’ sensory systems such as vision, hearing, smell, taste, and touch. The advertising method has also changed from passive reception to active participation. Finally, combining the characteristics of accurate delivery and the diversity of presentation forms of interactive advertising under the big data platform, the theme conception and form design of interactive advertising is proposed. The interactive design principles of highlighting the simplicity of the theme are explored. The interactive design principle of highlighting the simplicity of the theme is proposed, and the combination of color, text, and graphics is explored by the aesthetic visual design of the audience and the premise of focusing on the audience’s feelings. Starting from the visual effect of outdoor interactive advertising, the change in the way advertising is conveyed is interpreting to us the arrival of a new communication concept, the arrival of the Internet-centered and technology-centered data integration era. The research in this paper aims to provide useful support for the diversified development of outdoor interactive advertising in the new media environment by exploring how to skillfully realize the creative expression of outdoor interactive advertising in the new media environment.

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