scholarly journals Automatic Recognition Algorithm of Information Architecture Reliability Based on Energy Internet Network Topology

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Guowen Ren ◽  
Minrong Wu ◽  
Miao Yu
Keyword(s):  
Recognition Algorithm ◽  
Bayes Estimation ◽  
Information Architecture ◽  
Automatic Identification ◽  
Inspection Method ◽  
Energy Internet ◽  
Manual Inspection ◽  
The Impact ◽  
Energy Network ◽  
Internet Network

As a type of energy network, the scale of the power network is constantly expanding, and its structure has become more and more complicated. Correspondingly, the risks to the energy network are even less likely to be discovered, which will undoubtedly cause great troubles for the safe operation of the network. The traditional manual inspection method can no longer meet the requirements of huge and complex energy networks. Therefore, this paper proposes the algorithm, a research on the automatic identification of reliability of information architecture based on the topology of the energy Internet network. Abstract the server, storage, and other devices in the Energy Internet as network nodes, divide them according to service modules, and use Bayes estimation to evaluate and judge the impact of these nodes on the system function, so as to find the nodes with hidden risks. The results show that, compared with the traditional manual inspection method, the method proposed in this paper can efficiently and accurately find the nodes with risks and can help optimize the topology of the energy Internet network.

scholarly journals Improving Near Miss Detection in Maritime Traffic in the Northern Baltic Sea from AIS Data

2021 ◽  
Vol 9 (2) ◽  
pp. 180
Author(s):  
Lei Du ◽  
Osiris A. Valdez Banda ◽  
Floris Goerlandt ◽  
Pentti Kujala ◽  
Weibin Zhang
Keyword(s):  
Baltic Sea ◽  
Perceived Risk ◽  
Maritime Transportation ◽  
Near Miss ◽  
Automatic Identification ◽  
Identification System ◽  
Collision Risk ◽  
Ship Collision ◽  
The Impact ◽  
Ship Behavior

Ship collision is the most common type of accident in the Northern Baltic Sea, posing a risk to the safety of maritime transportation. Near miss detection from automatic identification system (AIS) data provides insight into maritime transportation safety. Collision risk always triggers a ship to maneuver for safe passing. Some frenetic rudder actions occur at the last moment before ship collision. However, the relationship between ship behavior and collision risk is not fully clarified. Therefore, this work proposes a novel method to improve near miss detection by analyzing ship behavior characteristic during the encounter process. The impact from the ship attributes (including ship size, type, and maneuverability), perceived risk of a navigator, traffic complexity, and traffic rule are considered to obtain insights into the ship behavior. The risk severity of the detected near miss is further quantified into four levels. This proposed method is then applied to traffic data from the Northern Baltic Sea. The promising results of near miss detection and the model validity test suggest that this work contributes to the development of preventive measures in maritime management to enhance to navigational safety, such as setting a precautionary area in the hotspot areas. Several advantages and limitations of the presented method for near miss detection are discussed.

scholarly journals A Framework for Assessing the Value of RFID Implementation by Tier-One Suppliers to Major Retailers

2008 ◽  
Vol 3 (1) ◽  
pp. 55-70
Author(s):  
Dharmaraj Veeramani ◽  
Jenny Tang ◽  
Alfonso Gutierrez
Keyword(s):  
Supply Chain ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Return On Investment ◽  
Real Life ◽  
Data Capture ◽  
Automatic Identification ◽  
Rfid Technology ◽  
Frequency Identification ◽  
The Impact

Radio frequency identification (RFID) is a rapidly evolving technology for automatic identification and data capture of products. One of the barriers to the adoption of RFID by organizations is difficulty in assessing the potential return on investment (ROI). Much of the research and analyses to date of ROI in implementing RFID technology have focused on the benefits to the retailer. There is a lack of a good understanding of the impact of RFID at upper echelons of the supply chain. In this paper, we present a framework and models for assessing the value of RFID implementation by tier-one suppliers to major retailers. We also discuss our real-life application of this framework to one of Wal-Mart’s top 100 suppliers

scholarly journals Colony size measurement of the yeast gene deletion strains for functional genomics

2021 ◽  
Author(s):  
Negar Memarian ◽  
Matthew Jessulat ◽  
Javad Alirezaie ◽  
Nadereh Mir-Rashed ◽  
Jianhua Xu ◽  
...  
Keyword(s):  
Functional Genomics ◽  
Colony Size ◽  
Large Scale ◽  
Model Organism ◽  
Antifungal Compound ◽  
Image Analysis System ◽  
Yeast Saccharomyces Cerevisiae ◽  
Inspection Method ◽  
Manual Inspection ◽  
Growth Differences

Background Numerous functional genomics approaches have been developed to study the model organism yeast, Saccharomyces cerevisiae, with the aim of systematically understanding the biology of the cell. Some of these techniques are based on yeast growth differences under different conditions, such as those generated by gene mutations, chemicals or both. Manual inspection of the yeast colonies that are grown under different conditions is often used as a method to detect such growth differences. Results Here, we developed a computerized image analysis system called Growth Detector (GD), to automatically acquire quantitative and comparative information for yeast colony growth. GD offers great convenience and accuracy over the currently used manual growth measurement method. It distinguishes true yeast colonies in a digital image and provides an accurate coordinate oriented map of the colony areas. Some post-processing calculations are also conducted. Using GD, we successfully detected a genetic linkage between the molecular activity of the plant-derived antifungal compound berberine and gene expression components, among other cellular processes. A novel association for the yeast mek1 gene with DNA damage repair was also identified by GD and confirmed by a plasmid repair assay. The results demonstrate the usefulness of GD for yeast functional genomics research. Conclusion GD offers significant improvement over the manual inspection method to detect relative yeast colony size differences. The speed and accuracy associated with GD makes it an ideal choice for large-scale functional genomics investigations.

Analysis of Group Pile Foundation Environmental Factors Based on Bayes Estimation

2013 ◽  
Vol 351-352 ◽  
pp. 1278-1283
Author(s):  
Tao Xue ◽  
Jun Fa Xu
Keyword(s):  
Environmental Factors ◽  
Pile Foundation ◽  
Growth Process ◽  
Bayes Estimation ◽  
Fusion Algorithm ◽  
Environment Factors ◽  
Sutong Bridge ◽  
Mechanical Performances ◽  
The Impact ◽  
Group Pile

The environmental factors have complex effects on the bearing properties of group pile foundation. Based on the "growth" process of the Sutong Bridge and the combination characteristics of environment factors, the relationships between the measured values of the group pile foundation and environmental factors were established. Then, the correlation decision determinations between the measured values and environmental factors were obtained by using the Bayes estimation fusion algorithm. Finally, the impacts of different environment factors on the bearing properties of group pile foundation had been got. The results showed that the impact of seasonal temperatures on the mechanical performances of the group pile foundation is very large.

Performance Bounds for VDES R-mode

2019 ◽  
Vol 73 (1) ◽  
pp. 92-114 ◽  
Author(s):  
Jan Šafář ◽  
Alan Grant ◽  
Paul Williams ◽  
Nick Ward
Keyword(s):  
Data Exchange ◽  
Estimation Error ◽  
Additive White Gaussian Noise ◽  
Automatic Identification ◽  
Identification System ◽  
Performance Bounds ◽  
Radio Communication ◽  
Very High Frequency ◽  
Radio Communication System ◽  
The Impact

The Very High Frequency (VHF) Data Exchange System (VDES) is a new radio communication system being developed by the international maritime community, with the principal objectives to safeguard existing Automatic Identification System (AIS) core functions and enhance maritime communication applications, based on robust, efficient and secure data transmission with wider bandwidth than the AIS. VDES is also being considered as a potential component of the R-mode concept, where the same signals used for communication are also used for ranging, thus mitigating the impact of disruptions to satellite positioning services. This paper establishes statistical performance bounds on the ranging precision of VDES R-mode, assuming an additive white Gaussian noise propagation channel. Modified Cramér-Rao bounds on the pseudorange estimation error are provided for all waveforms currently proposed for use in terrestrial VDES communications. These are then used to estimate the maximum usable ranges for AIS/VDES R-mode stations. The results show that, under the assumed channel conditions, all of the new VDES waveforms provide better ranging performance than the AIS waveform, with the best performance being achieved using the 100 kHz bandwidth terrestrial VDE waveforms.

Equivalent consumption minimization strategy of hybrid electric vehicle considering the impact of driving style

2018 ◽  
Vol 233 (10) ◽  
pp. 2610-2623 ◽  
Author(s):  
Changchao Gong ◽  
Minghui Hu ◽  
Shuxian Li ◽  
Sen Zhan ◽  
Datong Qin
Keyword(s):  
Energy Management ◽  
Management Strategy ◽  
Recognition Algorithm ◽  
Energy Management Strategy ◽  
Driving Style ◽  
Computation Efficiency ◽  
Driving Condition ◽  
Hybrid Electric ◽  
Equivalent Consumption Minimization Strategy ◽  
The Impact

The impact of driving style on the fuel economy is normally unconsidered in the development process of the equivalent consumption minimization strategy for hybrid electric vehicles. This article established a real vehicle energy management strategy based on the combination of driving style recognition and optimized equivalent consumption minimization strategy. In detail, the driving style recognition algorithm is obtained by introducing the driving style identification coefficient containing driving condition type influence factor and combining the coefficient with the genetic optimization K-means driving condition recognition algorithm. The equivalent consumption minimization strategy is optimized by genetic algorithm to optimize the battery SOC penalty function and charge–discharge coefficient. Comparing the proposed energy management strategy with the traditional equivalent consumption minimization strategy in a stochastic driving condition, the simulated result shows that the fuel consumption rate is reduced by 8.49% by making the operating points of the engine closer to the engine best efficiency curve, and making battery SOC changes more smooth and maintaining it in a reasonable area. It means that the proposed energy management strategy achieves higher fuel computation efficiency and better power distribution between the integrated starter generator and the engine.

scholarly journals How different are different diff algorithms in Git?

2019 ◽  
Vol 25 (1) ◽  
pp. 790-823
Author(s):  
Yusuf Sulistyo Nugroho ◽  
Hideaki Hata ◽  
Kenichi Matsumoto
Keyword(s):  
Source Code ◽  
Version Control ◽  
Automatic Identification ◽  
Systematic Mapping ◽  
Patch Application ◽  
Basic Task ◽  
Manual Analysis ◽  
Version Control System ◽  
Change Identification ◽  
The Impact

Abstract Automatic identification of the differences between two versions of a file is a common and basic task in several applications of mining code repositories. Git, a version control system, has a diff utility and users can select algorithms of diff from the default algorithm Myers to the advanced Histogram algorithm. From our systematic mapping, we identified three popular applications of diff in recent studies. On the impact on code churn metrics in 14 Java projects, we obtained different values in 1.7% to 8.2% commits based on the different diff algorithms. Regarding bug-introducing change identification, we found 6.0% and 13.3% in the identified bug-fix commits had different results of bug-introducing changes from 10 Java projects. For patch application, we found that the Histogram is more suitable than Myers for providing the changes of code, from our manual analysis. Thus, we strongly recommend using the Histogram algorithm when mining Git repositories to consider differences in source code.

scholarly journals Does environmental engineering help rural industry development? Discussion on the impact of Taiwan’s “special act for forward-looking infrastructure” on rural industry development

2020 ◽  
Author(s):  
Chin-Hsien Hsu ◽  
Hsiao-Hsien Lin ◽  
Shang-Wun Jhang ◽  
Tzu-Yun Lin
Keyword(s):  
Operations Management ◽  
Environmental Engineering ◽  
Survey Method ◽  
Parking Space ◽  
Inspection Method ◽  
Industry Development ◽  
Rural Industry ◽  
Good Communication ◽  
The People ◽  
The Impact

Abstract This study investigated the impact of environmental engineering on existing venues, venues and operations management. First, the literature analysis and field survey method are used to summarize the current situation of the venue. Then, 420 questionnaires are collected for statistical verification analysis, combined with the interview method to understand the deepest feelings of the people, and finally discussed with a multi-inspection method. The researcher believes that although environmental construction can improve infrastructure and human quality of life, which, after all, are experiment after completion. If, before construction, a good communication channel; obtaining consensus from the people and businesses; acquiring precise information; spraying water to reduce dust; increasing the height of the peripheral fence; planning a substitutive plan; avoiding crowds; reducing mistakes in the process; avoiding influencing the water and electricity supply and soil, water, and environment sanitation; and planning for a substitutive route and parking space with subsidy for damages are not possible, a negative image will be produced, willingness to spend will be reduced in the people due to the blocking of the view by the building (75%), the billboard will lose its functionality (63.2%), and inconvenience will be caused by the line of movement (75%) and parking space (55.9%), which are not helpful for development.

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