Evaluation of Real Data Call Set Up Success Rate in E-Utran

Understanding mathematical topics is important for both educators and students to capture latent concepts of questions, evaluate study performance, and recommend content in online learning systems. Compared to traditional text classification, mathematical topic classification has several main challenges: (1) the length of mathematical questions is relatively short; (2) there are various representations of the same mathematical concept(i.e., calculations and application); (3) the content of question is complex including algebra, geometry, and calculus. In order to overcome these problems, we propose a framework that combines content tokens and mathematical knowledge concepts in whole procedures. We embed entities from mathematics knowledge graphs, integrate entities into tokens in a masked language model, set up semantic similarity-based tasks for next-sentence prediction, and fuse knowledge vectors and token vectors during the fine-tuning procedure. We also build a Chinese mathematical topic prediction dataset consisting of more than 70,000 mathematical questions with topics. Our experiments using real data demonstrate that our knowledge graph-based mathematical topic prediction model outperforms other state-of-the-art methods.

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Improving VANETs Connectivity with a Totally Ad Hoc Living Mobile Backbone

Journal of Computer Networks and Communications ◽

10.1155/2015/273031 ◽

2015 ◽

Vol 2015 ◽

pp. 1-14 ◽

Cited By ~ 2

Author(s):

Joilson Alves Junior ◽

Emilio C. G. Wille

Keyword(s):

Intelligent Transportation Systems ◽

Ad Hoc Network ◽

Ad Hoc ◽

Network Connectivity ◽

Real Data ◽

Transportation Systems ◽

Network Backbone ◽

Set Up ◽

Fully Connected ◽

Analytic Models

The vehicular ad hoc network (VANET) for intelligent transportation systems is an emerging concept to improve transportation security, reliability, and management. The network behavior can be totally different in topological aspects because of the mobility of vehicular nodes. The topology can be fully connected when the flow of vehicles is high and may have low connectivity or be invalid when the flow of vehicles is low or unbalanced. In big cities, the metropolitan buses that travel on exclusive lanes may be used to set up a metropolitan vehicular data network (backbone), raising the connectivity among the vehicles. Therefore, this paper proposes the implementation of a living mobile backbone, totally ad hoc (MOB-NET), which will provide infrastructure and raise the network connectivity. In order to show the viability of MOB-NET, statistical analyses were made with real data of express buses that travel through exclusive lanes, besides evaluations through simulations and analytic models. The statistic, analytic, and simulation results prove that the buses that travel through exclusive lanes can be used to build a communication network totally ad hoc and provide connectivity in more than 99% of the time, besides raising the delivery rate up to 95%.

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Perbaikan Kinerja GSM 900 Area Padat Dengan Metoda Baseband Hopping

Sainstech: Jurnal Penelitian dan Pengkajian Sains dan Teknologi ◽

10.37277/stch.v25i1.135 ◽

2018 ◽

Vol 25 (1) ◽

Author(s):

Tety Yuniarti ◽

Mufti Gafar

Keyword(s):

Success Rate ◽

Frequency Hopping ◽

Call Rate ◽

Set Up

Abstrak---Seiring dengan semakin meningkatnya kebutuhan manusia untuk berkomunikasi, terutama komunikasi seluler,membuat perusahaan telekomunikasi berlomba-lomba untuk memperluas jaringan telekomunikasi. Maka perusahaan dibidang telekomunikasi memilih konsisten memberikan layanan yang berkualitas sebagai strategi utamanya dalam halkualitas dan kinerja jaringan. Hal utama yang harus dilakukan adalah bagaimana meningkatkan keberhasilan panggilandengan meminimalisir blocking dan drop call sehingga pelanggan akan merasa puas dengan layanan yang diberikan.Tetapi dengan keterbatasan spektrum frekuensi yang berbanding terbalik dengan kebutuhan komunikasi yang terusmeningkat, mengakibatkan banyak pengguna yang mengalami kegagalan dalam melakukan panggilan. Untuk mengatasiketerbatasan alokasi spektrum frekuensi inilah digunakan metode frequency hopping. Metode frekuensi hopping yang akandibahas dalam penelitian ini adalah baseband hopping, dimana aliran data dihop dari TRX satu ke TRX yang lain sesuaidengan urutan hopping yang ditentukan setiap 4,608 ms atau 217 hop setiap detiknya. Setelah dilakukan impelementasimetode baseband hopping, kualitas dari jaringan semakin meningkat ditinjau dari persentase (%) KPI yang berhubungandengan interferensi oleh frekuensi terutama untuk layanan voice, diantaranya Call Set-up Success Rate (CSSR), Dropped-Call Rate, Hand Over Success Rate (HOSR).

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Description and clinical validation of a real-time AI diagnostic companion for fetal ultrasound examination

10.1101/2021.05.25.21257630 ◽

2021 ◽

Author(s):

Julien Stirnemann ◽

Remi Besson ◽

Emmanuel Spaggiari ◽

Sandra Rojo ◽

Frederic Loge ◽

...

Keyword(s):

Success Rate ◽

Real Time ◽

Ultrasound Examination ◽

Correct Diagnosis ◽

Real Life ◽

Real Data ◽

Fetal Ultrasound ◽

Postmortem Diagnosis ◽

Knowledge Based ◽

Phenotype Model

Objective: To describe a real-time decision support system (DSS), named SONIO, to assist ultrasound-based prenatal diagnosis and to assess its performance using a clinical database of precisely phenotyped postmortem examinations. Population and Methods: This DSS is knowledge-based and comprises a dedicated thesaurus of 294 syndromes and diseases. It operates by suggesting, at each step of the ultrasound examination, the best next symptom to check for in order to optimize the diagnostic pathway to the smallest number of possible diagnoses. This assistant was tested on a single-center database of 251 cases of postmortem phenotypes with a definite diagnosis. Adjudication of discordant diagnoses was made by a panel of external experts. The primary outcome was a target concordance rate >90% between the postmortem diagnosis and the top-7 diagnoses given by SONIO when providing the full phenotype as input. Secondary outcomes included concordance for the top-5 and top-3 diagnoses; We also assessed a '1-by-1' model, providing only the anomalies sequentially prompted by the system, mimicking the use of the software in a real-life clinical setting. Results: The validation database covered 96 of the 294 (32.65%) syndromes and 79% of their overall prevalence in the SONIO thesaurus. The adjudicators discarded 42/251 cases as they were not amenable to ultrasound based diagnosis. SONIO failed to make the diagnosis on 7/209 cases. On average, each case displayed 6 anomalies, 3 of which were considered atypical for the condition. Using the 'full-phenotype' model, the success rate of the top-7 output of Sonio was 96.7% (202/209). This was 91.9% and 87.1% for the top-5 and top-3 outputs respectively. Using the '1-by-1' model, the correct diagnosis was within the top-7, top-5 and top-3 of SONIO's output in 72.4%, 69.3% and 63.1%. Conclusion: Sonio is a robust DSS with a success-rate >95% for top-7 ranking diagnoses when the full phenotype is provided, using a large database of noisy real data. The success rate over 70% using the '1-by-1' model was understandably lower, given that SONIO's sequential queries may not systematically cover the full phenotype.

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Probabilistic moveout analysis by time warping

Geophysics ◽

10.1190/geo2018-0797.1 ◽

2020 ◽

Vol 85 (1) ◽

pp. U1-U20

Author(s):

Yanadet Sripanich ◽

Sergey Fomel ◽

Jeannot Trampert ◽

William Burnett ◽

Thomas Hess

Keyword(s):

Parameter Estimation ◽

Posterior Probability ◽

Model Building ◽

Probability Distributions ◽

Real Data ◽

Inversion Method ◽

Time Warping ◽

Anisotropic Models ◽

Trade Offs ◽

Set Up

Parameter estimation from reflection moveout analysis represents one of the most fundamental problems in subsurface model building. We have developed an efficient moveout inversion method based on the process of automatic flattening of common-midpoint (CMP) gathers using local slopes. We find that as a by-product of this flattening process, we can also estimate reflection traveltimes corresponding to the flattened CMP gathers. This traveltime information allows us to construct a highly overdetermined system and subsequently invert for moveout parameters including normal-moveout velocities and quartic coefficients related to anisotropy. We use the 3D generalized moveout approximation (GMA), which can accurately capture the effects of complex anisotropy on reflection traveltimes as the basis for our moveout inversion. Due to the cheap forward traveltime computations by GMA, we use a Monte Carlo inversion scheme for improved handling of the nonlinearity between the reflection traveltimes and moveout parameters. This choice also allows us to set up a probabilistic inversion workflow within a Bayesian framework, in which we can obtain the posterior probability distributions that contain valuable statistical information on estimated parameters such as uncertainty and correlations. We use synthetic and real data examples including the data from the SEAM Phase II unconventional reservoir model to demonstrate the performance of our method and discuss insights into the problem of moveout inversion gained from analyzing the posterior probability distributions. Our results suggest that the solutions to the problem of traveltime-only moveout inversion from 2D CMP gathers are relatively well constrained by the data. However, parameter estimation from 3D CMP gathers associated with more moveout parameters and complex anisotropic models are generally nonunique, and there are trade-offs among inverted parameters, especially the quartic coefficients.

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Numerical and Laboratory Investigations of Closely-Spaced and Joint Infiltration of Precipitation and Treated Waste Water

Water ◽

10.3390/w11112262 ◽

2019 ◽

Vol 11 (11) ◽

pp. 2262

Author(s):

Händel ◽

Fichtner ◽

Graeber

Keyword(s):

Waste Water ◽

Real Data ◽

Water Infiltration ◽

Construction Costs ◽

Precipitation Water ◽

Tank Experiment ◽

Laboratory Investigations ◽

Set Up ◽

Space Requirements ◽

Precipitation Events

The closely-spaced infiltration of treated waste water and precipitation water may have advantages when compared to the single infiltration, such as reduction of construction costs and space requirements. Recent numerical works showed the theoretical applicability of this approach. A physical tank experiment has been set-up to study the processes in more detail and provide real data on the water flow as well as the purification potential during infiltration. Various scenarios of treated waste water infiltration with and without precipitation events have been technically realized. These data have then been used to implement a numerical model that supported the review of criteria for a proof of the principal applicability. A joint infiltration set-up is proposed and analyzed after successful evaluation of the closely-spaced, but separated infiltration of treated waste water and precipitation water. Again, both the laboratory and numerical works show the principal applicability of the proposed technique.

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ANALYSIS OF THE DIVERSIFIED AND THE HIGHLY SPECIALIZED ENTERPRISES’ FINANCIAL STABILITY

Scientific Review: Theory and Practice ◽

10.35679/2226-0226-2020-10-6-1097-1105 ◽

2020 ◽

Vol 10 (6) ◽

pp. 1097-1105

Author(s):

O.V. Karpets ◽

◽

A.A. Andreev ◽

Keyword(s):

Financial Stability ◽

Research Question ◽

Real Data ◽

Development Strategies ◽

Diversification Strategy ◽

Doing Business ◽

Future Strategy ◽

Set Up ◽

Selection Of

Today it is getting harder for companies all over the world to stay in the market, as doing business is associated with great risks. It is especially true for the young enterprises that have just set up or are at this stage. When a certain group of persons made a decision to begin and run a business, then one of the main questions that, as a rule, should arise first of all for them - what the company will do and according to what strategy it will carry out its main activities. It is easy to guess that the question of the future strategy of the enterprise is much more complicated for both new companies and existing ones, even though today there are many different development strategies for practically any enterprise, regardless of the size of its charter capital, scope of activity and other important factors. There are a great many development strategies, but most general are two - diversification and specialization. One strategy involves the concentration of production and the sale of one type of goods, while the other strategy is its absolute opposite, which involves the creation of several lines of goods that are in no way connected with each other, and the sale of these goods to different sales markets. The purpose of this article is to determine, basing on real data, which of the two strategies is most effective. Research objectives: determination of criteria for the selection of the necessary enterprises; compiling a list of enterprises and indicators of financial stability; analysis of the results obtained and the answer to the research question. After completing all the tasks and objectives of the study, it was concluded that those enterprises that use a diversification strategy are in a more stable financial position than enterprises that use a specialization strategy.

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Feasibility of Vs Liquefication Evaluation Methods by Bachu Xinjiang Earthquake Data

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.238.848 ◽

2012 ◽

Vol 238 ◽

pp. 848-851

Author(s):

Qian Yu Zhao ◽

Rui Sun ◽

Yu Run Li ◽

Wei Ming Wang

Keyword(s):

Data Analysis ◽

Success Rate ◽

Linear Model ◽

Seismic Design ◽

Real Data ◽

Soil Liquefaction ◽

The Other ◽

Velocity Data ◽

Discrimination Model ◽

Earthquake Data

A discrimination model for soil liquefaction is established by analyzing the liquefied and non-liquefied sites in the Bachu Xinjiang earthquake, based on 44 shear wave velocity data. One of them is based on the Code for seismic design of buildings, which is a linear model. The model is brief and convenient, while the evaluation success rate is 80%. But compared with the nonlinear model, the linear model is not advanced enough. The other model is based on probability analysis, and the evaluation success rate can reach up to 93%. And the discrimination results are high in reliability rely on real data analysis.

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Finding Key Stations of Hangzhou Public Bicycle System by a Improved K-Means Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.209-211.925 ◽

2012 ◽

Vol 209-211 ◽

pp. 925-929 ◽

Cited By ~ 2

Author(s):

Hai Tao Xu ◽

Hao Wu ◽

Xu Jian Fang ◽

Wan Jun Zhang

Keyword(s):

Spanning Tree ◽

Minimum Spanning Tree ◽

Research Result ◽

Real Data ◽

Special Care ◽

The Public ◽

Initial Cluster ◽

The World ◽

Bike Sharing ◽

Set Up

In China, Hangzhou is the first city to set up the Public Bicycle System. Now, the System has been the largest bike- sharing program in the world. The software of Hangzhou Public Bicycle System was developed by our team. There are many and many technology problems in the decision of intelligent dispatch. Among of these problems, determining how to find the key stations to give special care is very important. In this paper, a improved k-means algorithm is used to recognize the key stations of Hangzhou Public Bicycle System. At first, by passing over the two week’s real data, a rent-return database is initialed. Then the algorithm builds minimum spanning tree and splits it to gets k initial cluster centers. The key stations are determined from the rent-return database by the algorithm. Practice examples and comparison with the traditional k-means algorithm are made. The results show that the proposed algorithm is efficient and robust. The research result has been applied in Hangzhou.

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Research for PV Cell and Storage Battery of Dynamic Economic Dispatch in Micro-Grid

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.998-999.458 ◽

2014 ◽

Vol 998-999 ◽

pp. 458-461 ◽

Cited By ~ 1

Author(s):

Jiao Jiao Liu ◽

Zhi Jie Wang ◽

Yi Zhi Ye ◽

Zhen Hai Zhang

Keyword(s):

Mathematical Model ◽

Economic Dispatch ◽

Real Data ◽

Battery Life ◽

Discharge Plan ◽

Real Population ◽

Micro Grid ◽

Set Up ◽

Population Genetic Algorithm ◽

Dynamic Economic Dispatch

The method of day-ahead dynamic economic dispatch is applied to the micro-grid composed of photovoltaic (PV) generation system and batteries to make its operational cost minimized. The battery life was converted cost and added to the objective function. Micro-grid’s mathematical model of economic dispatch was set up. Mathematical model of economic dispatch was solved by using the method of real population genetic algorithm. The charge and discharge plan of battery in micro-grid and buying or selling electricity plan between micro-grid and State Grid was established at the same time. Taking real data of Shanghai Electric Group’s micro-grid for case study, the dynamic economic dispatch is compared with traditional dispatch strategy. The results verify the effectiveness of the dynamic economic.

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