bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of capacity of CCHP system coupled with solar and biomass energy
Authors: Yizhou Wang , Hao Feng 
Published: December 2019

Abstract
The CCHP system uses renewable energy to meet the heating, cooling and power loads, improve primary energy efficiency, and reduce carbon emissions. In this paper, a biomass energy-driven and solar collector-assisted CCHP system is proposed. The mathematical model of the system is achieved. And capacity was optimized by a genetic algorithm. Further, a building in Urumqi as an example, the feasibility of the system was verified by genetic algorithm. The results demonstrate that the values of primary energy saving ratio, annual total cost saving rate and carbon emission reduction ratio are 20.94%, 11.73% and 40.79%, respectively. This finding could provide a reference for biomass energy-driven and solar collector-assisted CCHP system design for buildings in the Urumqi plateau.
An Approach for Analyzing the Dynamic Strength Increment of Concrete Material
Authors: Xu Peibao , Ge Dali , Zhao Jun , Yu Yong , Li Kai 
Published: December 2019

Abstract
The Split Hopkinson Pressure Bar (SHPB) is usually used to get the dynamic compressive strength of concrete materials at strain-rate between 101 and 103s−1. It is widely accepted that the main influencing factors of dynamic strength include strain-rate effect and inertial effect in SHPB tests, which result in obvious scattered phenomenon existing in the test data. However, many empirical formulae of dynamic increase factor were directly obtained from the scattered test data to describe the material properties, which has been overestimated strain-rate effect for design analysis. In present paper, numerical simulations with a rate-independent material model are used to study this pseudo-strain-rate sensitive phenomenon because it is very difficult to quantify these influences by conducting laboratory tests. Then a unified approach for processing the scattered test data of normal concrete is available especially for mid-high strain rate. Moreover, the quantitative relations among the strain-rate effect, inertial effect and calibration test data have been obtained with the help of the corresponding numerical simulations, and semi-empirical formulae are also proposed to describe the inertial effect and strain-rate effect.
The effect of engineering parameters on production capacity of a fractured horizontal well in tight oil reservoirs
Authors: Fan Yang , Qiquan Ran , Junlong Zhao , Guanzhong Shen , Yijing Feng , Mengya Xu , Jiaxin Dong , Lifeng Liu , Suqi Huang 
Published: December 2019

Abstract
Terrestrial tight oil in China has the characteristics of poor reservoir properties and strong heterogeneity. Large-scale volumetric fracturing of horizontal wells is one of the few solutions to achieve economic exploitation. Horizontal well productivity after fracturing is affected by many complex factors. Therefore, by using the numerical simulation method, the ellipsoidal fracture network containing the major fracture and the minor fracture is designed by the method of locally densifying grids to simulate the productivity of a single well of the tight reservoir of Changqing Oilfield and analyse the affecting factors on the productivity. The results show the horizontal well productivity increases with the length of the horizontal section, the number of fractured stages, the volume of SRV, and the complexity of the fracture network, but the increment gradually decreases. The orthogonal test method was used to rank the influencing degree of engineering parameters on productivity. It was found that the influencing degree of fractured horizontal well productivity in tight oil reservoirs was decreasing from SRV volume, fractured stages, the complexity of fracture network to the length of horizontal section.
Electromagnetic Interference Diagnosis Based on HPLC Timing Sequence Topology and Machine Learning
Authors: Tian Haojie , Zhao Yudong , Kang Liyan , Shang Ying , Liu Xinran 
Published: December 2019

Abstract
High power line communication (HPLC) has become a basic communication method in the courts of smart grid areas. Some special electrical equipment in these power grid areas may cause electromagnetic interference, which will undermine the stability of HPLC, and lead the acquisition equipment in the smart grid to miss out or lose control. Consequently, the power supply quality and grid safety will be affected. This kind of influence is temporary, random, and self-recoverable, and it is difficult to be identified and eliminated through on-site inspection. In this paper, the HPLC network topology records of the courts are analyzed, the HPLC timing sequence topology is fitted, and user information and electricity consumption information are correlated. Machine learning and optimization are carried out on the data of the courts by using the association rule learning and decision tree algorithm. It is found that the machine learning method based on the HPLC timing sequence topology can effectively realize the electromagnetic interference positioning of the power grid in the courts, and help the on-site operation and maintenance personnel to conduct troubleshooting.
Deep Perception of Power Failure of Substation Area in Smart Grid
Authors: Kang Liyan , Shang Ying , Sun Lina , Li Zhongcheng , Zhang Muxin 
Published: December 2019

Abstract
Power failure of substation areas is a regional power failure event. It is difficult to judge whether or not the failure occurs in the substation area from the status of a single equipment. Moreover, the local network is interrupted after the power failure of substation area, and the power grid equipment is disconnected, so the information of the substation area cannot be perceived. Build high-speed communication network of substation area in smart grid, increase emergency power supply function of equipment of substation area, strengthen the perception ability of equipment status of substation area, introduce data mining analysis method to deal with massive perception data, and strengthen the processing ability of perception information to form deep perception of power failure in substation areas, which make it possible to fast, accurately and completely judge the power failure of substation area. Unexpected power failure or manual-drive power failure of substation can be used to support power grid construction and disaster prevention.
Design of unmanned aerial vehicle mobile hydrogen refueling station
Authors: Li Gendi , Wang Kuisheng , Liu Yong , Zhou Junbo 
Published: December 2019

Abstract
Traditional unmanned aerial vehicle (UAV) that uses lithium batteries as a power source which limits UAV’s performance and application due to their short flying time. New UAVs which use hydrogen fuel cell as its power have longer flying time up to three times of traditional ones. The UAV mobile hydrogen refueling station has solved the problem of UAV’s energy, and it is a device that provides hydrogen as the power for a hydrogen fuel cell UAV. The process flow of the UAV mobile hydrogen refueling station is introduced. The way of pressurization has been innovated, and the pressurization process has been tested. The result shows that, increasing the pressure of the compressed gas and the inlet hydrogen can increase the output hydrogen flow. Meanwhile, in order to avoid pneumatic booster pump operating under high load for a long time, compressed gas pressure and inlet hydrogen pressure should also be properly controlled within a stable range. It has a certain guiding significance for the design of mobile hydrogen refueling station.
A step size control scheme based on polynomial regression for continuation power flow calculation
Authors: Sun Hua , Chen Quan , Dong Xiaoming 
Published: December 2019

Abstract
Continuation power flow is an effective approach to analyse static voltage stability by accurately calculating the maximum loading point. To improve the efficiency of continuation power flow model by decreasing its calculation burden, a new step size control scheme for predictor-corrector steps is proposed in this study. Firstly, the predictor tangent vector is obtained according to Jacobin matrix. Secondly, the optimal parameter with the largest sensitivity to load power change is identified by recognizing biggest component in tangent predictor vector. Thirdly, polynomial regression between the optimal parameter and the power increment parameter is analysed. Finally, the improved self-adaption step size control scheme is established in terms of the obtained polynomial regression model. Studies based 14-bus test system are used to demonstrate the efficacy of the proposed scheme. For this study, specific point-to-point maximum loading is calculated.
The Kazakh terminology recognition system in the IT field
Authors: Niyazbek Muheyat , Talp Kuenssaule 
Published: December 2019

Abstract
The design and development of the Kazakh language terminology recognition platform in IT field is one of the important means for more effective use of term resources in the field. Used a conditional random field (CRF) and manual modification method in the platform and based on the characteristics of the Kazakh language itself, this paper analyzes the rules of terminology formation and related terminology identification methods as well as describes the basic framework of the term recognition platform and the workflow and main functions of the training corpus, terminology recognition, feature template and term extraction in the system.
Optimum Design of Coil Disc Magnetic Field of Rapid Repulsion Mechanism
Authors: Yang Liu , Xu Cheng , Haiyang Zhao 
Published: December 2019

Abstract
The electromagnetic repulsion mechanism (ERM) based on the principle of eddy current repulsion has been widely applied in DC circuit breakers, but its energy conversion efficiency is low. In order to design a high-efficiency ERM, this paper establishes a simulation model of the ERM with double coil structure by the finite element analysis method. The coil disc skeleton is analyzed and optimized from the aspects of magnetic conductive material and structure. The problems of magnetic saturation and power loss are avoided, and the optimum design parameters of magnetic conductive components of coil disc are obtained. The simulation results show that the magnetic conductive material should be made of silicon steel sheet and designed into an E-2 type. Compared with the hollow double-coil repulsion mechanism, the electromagnetic repulsion peak value increases by 10.6%, the maximum opening speed increases by 25.3%, and the driving efficiency increases by 41.6%. The travel distance of 12mm can move within 1.8ms, providing a reference for the design of high-speed and high-efficiency ERM.
Research on target damage evaluation model based on image with single source information
Authors: Xiaonan Zhang , Qiang Huang , Xueyang Bai , Zhidan Sun , Gao Li 
Published: December 2019

Abstract
Under the condition of single source information, this paper studies and analyzes the target damage evaluation model based on image information, and proposes an automatic evaluation algorithm based on image change detection based on the analysis of geometric features and texture features before and after the target is hit. The algorithm consists of two parts: image extraction algorithm and image matching algorithm. For the image extraction algorithm, the image gradient, the definition of corner point and the structure feature and the extraction technology of the corner point are introduced in detail. For image matching algorithm, we mainly consider gray-based matching algorithm and feature-based matching algorithm. Under the condition of single information source, the target damage model based on image information is helpful to make up the deficiency of damage evaluation model, which has certain practical significance.
Analysis of lava flood risk distribution to support hazard mitigation
Authors: Hariyanto T , Larasati Z R , Kurniawan A , Pribadi C B 
Published: December 2019

Abstract
Flood lava is a collection of lava released by the volcano and reaches the lower surface with the help or encouragement of rainwater. The impact of lava flooding has a high risk because the material it carries can cause damage and potentially cause death, injury, illness, life threatened, loss of security, displacement, damage or loss of property, and disruption of community activities. Mapping the risk areas for lahar floods by utilizing the Geographic Information System (GIS) can be useful to support disaster mitigation activities. The lahar flood risk map was generated from an overlay of the lahar flood hazard map, lava flood kerawana map, lava flood vulnerability map, and lava flood capacity map which had each parameter which was then calculated using the scoring method and classified based on its scoring value. From the results of processing, the lahar flood risk map can be classified into 3 classes, namely high risk, moderate risk, and low risk. High risk occurred in November, mostly occurred in the Pasirian District area, especially in the area around the river and a little in the river area Pronojiwo District, with a total area of risk area is 28.983 or with a percentage of 4.24% of the total area of the study area, and areas that have risks high in January many occurred in the Pasirian District area, especially in the area around the river with a total area of risk area is 9.570 or with a percentage of 1.40% of the total area of research.
Landslides hazards assessment using geographic information system and remote sensing: Gakenke District
Authors: Benineza G G , Rwabudandi I , Nyiransabimana M J 
Published: December 2019

Abstract
Gakenke district is located in the Northern Province of Rwanda and is known as the district with several landslide events. Assessment of landslide in Rwanda has not been a problem until the weather changed frequently with heavy rainy season. The purpose of conducting this study was due to massive movement of earth having impacts on roads infrastructures, community, and negative impacts for the planners and decision makers. Remote sensing and Geographical Information system methods were used in the study for the assessment of landslide hazard occurrence, weighted overlay model was used where the different triggering factors were considered and scored according to the relationship between causative factor contribution the and landslides and then weighted for producing landslides vulnerability map. The results revealed that Gakenke is vulnerable to landslides and this is due to the most triggering factors: slope that present 40% with 30% of the land cover in addition to rainfall having 20% and 10% of Gakenke District soil type of this area. Landslide hazard map of Gakenke have been created using GIS by combining the causing factors. Hence, an updated map of exposed areas in Gakenke District to landslide could be prepared taking into account different points
Cut and fill analysis of Palu Bay seabed topography pre and post-tsunami
Authors: Khomsin  , Pratomo D G , Susanto L O F 
Published: December 2019

Abstract
Palu Bay is an earthquake-prone area, in September 2018 tectonic earthquake occurred in Donggala District, Central Sulawesi, which caused tsunami due to underwater landslides. One of the impacts caused by the tsunami was changes in bathymetry. In tsunami post-disaster reconstruction, further studies regarding seafloor topography information of affected areas are needed. This study examines and analyzes the underwater landslide in Wani, Palu Bay 2018 before and after the underwater landslide using bathymetry, and coastline data to determine cut and fill volume. The analysis was conducted on the three components: contouring, slope/gradient, and volumetric (cut and fill). The contouring results show significant depth changes at the 200-meter contour on Tanjung Labuan, Palu. The volume calculation from two surfaces shows 59,512,720.790 m3 cut and 12,466,252.630 m3 fills in the landslide area.
Vegetation Health Index (VHI) analysis during drought season in Brantas Watershed
Authors: Masitoh F , Rusydi A N 
Published: December 2019

Abstract
The Brantas Watershed located in East Java has the vulnerability of drought as one of hydrometeorological disasters. The Vegetation Health Index (VHI) as one of remote sensing index was used to analyse drought. VHI can be derived based on both the Land Temperature Surface (LST) and Normalized Differenced Vegetation Index (NDVI). This research aimed to determine the influence of LST and NDVI, respectively, to VHI, especially in dry season of 2008 - 2017. The data used were MODIS Vegetation Indices (MOD13A1) and MODIS Land Surface Temperature (MOD11B1). The influence of LST and NDVI to VHI in the Brantas Watershed was analysed using correlation and regression testing. The LST - NDVI correlation of Brantas Watershed was negative (-0.73). The high temperature distribution was dominantly located in the low-density vegetation areas. The LST - VHI correlation was 0.35, and NDVI - VHI correlation was 0.63. This illustrated that the influence of land surface temperature to the vegetation drought was weak. Drought indicated by VHI was more likely to be influenced by internal conditions of vegetation and other environmental elements.
A framework: Implementation of smart city concept towards evacuation route mapping in disaster management system
Authors: Nurwatik  , Hong J H 
Published: December 2019

Abstract
Due to the complex nature of disaster, elaborating smart city environment has being important matter in term of enhancing the resilience, awareness and preparedness. Therefore, this research propose a collaborative framework of disaster awareness system that can integrate multiple data resources in smart city ecosystem. The system architecture consist of four tiers; (1) sensor tier, which is responsible for retrieving and updating information about reality from sensors; (2) database tier, which is responsible for collecting information from related domain resources (3) decision support tier, with respect to examine the continuously updated situations for making emergency decision; and (4) alert tier, which is responsible for informing and warning citizens who living within risk area. By using earthquake impact assessment of Taiwan earthquake, the framework is built in knowledge to evaluate service area of hospital and provide evacuation route using network analyst. From infrastructure perspective, standards are introduced to resolve the various heterogeneity issues between different stakeholders. The result of hospital service area analysis is 1207 km2 and decreases about 474.5 km2 after the earthquake. Moreover, the comparison of route analysis between before and after earthquake indicates that the implementation of smart city concept and network analyst sussessfully minimize travel time until 10 minutes.
Vertical deformation analysis in Banda Arc deduced from GPS time series data 2008-2013
Authors: Rahmadani S , Meilano I , Sarsito D A , Susilo  
Published: December 2019

Abstract
Banda arc is a product of complex interactions between the Eurasian, Australian, Pacific and Philippine Sea plates. As a result of this tectonic interaction, the Banda arc has undergone significant deformation of the crust, both in the horizontal and vertical directions. In this study, we performed a time-series data analysis of displacement in vertical components. A total of 16 permanents GPS observations from 2008 to 2013 were collected and analysed in this study. The GPS sites spread around the Banda arc area from Bali island in the south to Ambon in the north. This is the first research on vertical deformation analysis carried out in this area. The results of this study show that 3 GPS sites experience a subsidence, which are BANI, CAMB and CTOA, while the 13 others experience an uplift mechanism. The spatial pattern of vertical deformation obtained from this research will provide insight about tectonic conditions and can then be used as a basis for conducting seismic hazard analysis in the Banda arc.
Calculation of the number of peaks in The Gunung Sewu area using DEMNAS, focal maximum function and slope position classification method
Authors: Sutanta H , Tiera A 
Published: December 2019

Abstract
Thousand Hills (Gunung Sewu) is a karst area in the southern Java island, stretches 85 km east to west covering around 1,300 km2 and formed by thousands of conical hills. This research aims to calculate the number of peaks in the Gunung Sewu area using focal maximum function and slope position classification. The data for the calculation was the Indonesian national DEM (DEMNAS). It was used in its original spatial resolution at 8.25 m, and the resampled version at 10 m and 16.5 m. The processing consists of detection of peaks, selection of top of hills, and evaluation. Twenty four combinations of window types and size and spatial resolution of DEMNAS were evaluated. The accuracy of the calculation was assessed using ten test areas with 1,576 hills digitized manually. The best function to detect the peaks is a rectangle type window with a width of three pixels with a spatial resolution at 8.25 m. Types of hills can be identified: conical and polygonal hills. The calculation found that there are 27,773 regional peaks, or hills, in the Thousand Hills area. The results were tested using a confusion matrix with overall accuracy is 86.2%.
Mapping the distribution network of a government non-cash food assistance in Kulon Progo Regency using geospatial information system
Authors: Sutanta H , Wulandari M D 
Published: December 2019

Abstract
Indonesia government provides non-cash food assistance to people. Every household gets rice and egg in the equivalent of IDR 110,000 per month. In Kulon Progo Regency, the number of recipients amounted to around 53,000 households. Rice and eggs to be distributed should come from local farmers and breeders. The delivery is conducted by e-Warong, a community-owned small kiosk. However, the location of rice supplier and e-Warong have not been known. This paper aims to describe the mapping of these parties and analyze their spatial implication. The following geospatial data: administrative boundary, road network, and digital elevation model (DEM). List of recipients, e-Warong and Gapoktan were provided by the Social Agency of Kulon Progo Regency. Mobile Topographer apps were used to map the location of 13 rice suppliers, 111 e-Warongs, and parts of household recipients. Egg suppliers are not mapped because for each month each E-Warong can change suppliers, adjusting the availability of eggs. They were processed using spatial analysis operation. The result is maps of the distribution network and service area. Spatially and visually, the inequality of the distribution network is evident. This inequality is caused by distance and topography, factors that were not visible in the textual data currently in used. Where the E-Warong area in the northern part of the district is a plateau or hilly which makes mobility more difficult than E-Warong in the southern part which is a lowland. GIS has been used to create maps of the distribution network in visually attractive and spatially descriptive models.