bluuebunny/crossref_metadata_2025_split huggingface dataset:
An improved control method for Voltage Source Converter-High Voltage Direct Current system
Authors: Sun Yimeng , Liu Yingpei 
Published: December 2019

Abstract
This paper aims to enhance the accuracy and response speed of the active-disturbance rejection control (ADRC) controller of the voltage source converter-high voltage direct current (VSC-HVDC) system. For this purpose, an improved control method was proposed for the VSC-HVDC system based on the least squares support vector machine (LSSVM) optimization of the ADRC controller. First, the ADRC regulators were designed for the active/reactive power outer loop in VSC-HVDC inverter control system. Then, the LSSVM optimized regression model was created for the ADRC regulators. Finally, the proposed method was successfully simulated on MATLAB. The simulation results show that the LSSVM-optimized ADRC method can effectively enhance the anti-interference ability of the VSC-HVDC. The research findings shed new light on the signal analysis of the VSC-HVDC system.
Research on the Factors Influencing the Income Level of Urban Residents in Guangzhou
Authors: Zhong Jiayi , Zhong Jiayi 
Published: December 2019

Abstract
High-quality development is a new requirement for China’s economic development in the new era. This paper selects the ownership structure, urbanization level and openness as the influencing factors of urban residents’ income level in Guangzhou, and uses vector autoregressive model (VAR) to empirically analyze the mutual values between Guangzhou City’s 1998-2017 variables and urban residents’ income levels. The results show that the two-way causal relationship between urban residents’ income level and urbanization is the most significant. The change of ownership structure has the highest contribution to the fluctuation of urban residents’ income level, and on this basis, relevant policy recommendations are put forward.
Study on the Opening Position of the Same Median Strip at the Exit of the Passenger and Truck Separation Integrated Subgrade Interchange
Authors: Pan Binghong , Ren Hui 
Published: December 2019

Abstract
In order to avoid the traffic disorder and traffic accident caused by the weaving from the same median strip openings to the interchange exit segment, this paper analyzes the structure from the same median strip openings to the interchange exit, and explores the influencing factors of the opening position. By analyzing the configuration, operating state and volume to capacity ratio, the calculation model of the minimum length of the weaving segment is established. Based on the number of lanes and design speed, the proposed value of the opening position of the same median strip at the exit of the passenger and truck separation integrated subgrade interchange is proposed.
Probability model of driver’s choice behavior in toll plaza
Authors: Liang Hanmian , Yang Shaowei , Pan Binghong 
Published: December 2019

Abstract
By analyzing the driver’s choice behavior at toll plaza, the complexity of driver’s toll lane selection behavior is discussed, and the utility function and probability calculation formula of the model are determined. The queue length, the number of lanes changed, the number of large vehicles and the location of the toll lane are selected as the characteristic variables of the model. The binary Logit model of the driver’s choice behavior for the toll lane is established. Based on the actual observation data, the model parameters were estimated for each characteristic variable. The research results show that the driver’s toll lane selection behavior is affected by many factors, and the fitting accuracy is high. The establishment of the model provides technical support for the traffic organization and toll lane layout.
Identification classification of power user demand response effect based on electricity acquisition data
Authors: Ge Rui , Jin Yiding , Feng Changyou , Zhao Zhao , Wang Nan , Li Pengfei 
Published: December 2019

Abstract
In recent years, the great potential of power demand-side resources in the power system has been gradually recognized and exploited, especially the demand response of power users. Demand-side management has received more and more attention. In order to clarify the rationality of the requirements response project design and the degree of implementation of the expected effect, this paper studies the demand response characteristics of powerusers’ electricity load. Based on the processing of load data using the analysis technology, the demand response feature indicator is proposed, taking into account the response capacity, response speed, response cycle, and using K-means clustering method to realize the identification and classification to the effect load response of users, and finally give power users demand response interactive Policy.
Market demand assessment of auxiliary services after large-scale wind power access
Authors: Li Qiwang , Li Jing , Liu Dunnan , Zhao Ningning , Zhihao Li 
Published: December 2019

Abstract
Since the beginning of the 21st century, wind power has flourished as a major form of new energy. Different from thermal power, hydropower, nuclear power and other power sources, wind power output is characterized by intermittence and volatility, low reliability of capacity, and poor predictability, which will bring additional pressure to the safe and stable operation of the power system, thus restricting its development. In order to improve the consumption capacity of renewable energy, China is building an auxiliary service market based on economic leverage to encourage flexibility resource participation in system regulation services. Demand assessment has also become a key issue in market construction. Therefore, this paper will take the peak regulation auxiliary service market and reserve auxiliary service market under large-scale wind power access as examples to evaluate the peak regulation and reserve demand.
Experiment Research on Direct-expansion Evaporative Condensation Air-conditioning System
Authors: Yu Wenhong , Wang Haoyu , Zhang YiXiang 
Published: December 2019

Abstract
This paper introduces the working principle and characteristics of the direct-expansion evaporative condensation air-conditioning system, and an relative experimental research has been conducted. The result shows the direct-expansion evaporative condensation air-conditioning system has the advantages of energy saving, water saving, land saving, compact structure and low pollution. Therefore, the direct-expansion evaporative condensation air-conditioning system has great potential for use and it also has the capacity in automation controls.
Research of rational curtailment rate and development guiding mechanism of wind power in China
Authors: Cheng Jinmin , Wang Weiyuan , Yuan Bo , Zhang Jinfang , Mi Zhe 
Published: December 2019

Abstract
It is not conducive to green low-carbon development to pursuit very low wind power accommodation rate regardless of cost. In order to improve the efficiency of wind accommodation and realize the coordinated development of wind power and power grid, a “rational curtailment rate” of wind power should be studied and evaluated. This work proposes that the “rational curtailment rate” of wind power should be defined as a curtailment rate when the marginal wind power accommodation cost equals to the marginal wind power accommodation benefits at given level of installed wind capacity. The rational curtailment rate is related to the system peak shaving capacity and installed wind capacity. According to the rational curtailment rate, three development strategies are proposed to guide the improvement of wind power accommodation level and energy supply efficiency: First, calculate rational curtailment rate separately in every provinces, and establishing early warning standards for wind power construction differently. Second, the idea of wind power development should be adjusted to “adjust resources flexibly first”. Third, set up different wind power investment guidance for in different areas, indicated by rational curtailment rate.
3D modelling analysis of sea-level rise impact in Semarang, Indonesia
Authors: Karondia L A , Handoko E Y , Hapsari H 
Published: December 2019

Abstract
Regarding the Intergovernmental Panel on Climate Change reports that sea-level may reach up to 74 cm in 2100. This prediction may be a crucial indicator for countries whereas located in low-lying areas. Due to the significant impact on economics and social, sea-level rise can be a severe problem in the future. Some of the big cities in Indonesia are in the coastal areas, such as Jakarta, Surabaya, and Semarang. They become the vulnerable city in Indonesia, which is affected by sea-level rise. The aim of the study is to model and analysis the impact of sea-level rise, particularly in Semarang city, Indonesia. In this study, sea-level rise can be estimated by satellite altimetry data for a long-term period. The impact of sea-level rise can be modeled and visualized using 3D modeling. The prediction over 50 years, the areas impacted by sea-level rise is about 807 km2. They mostly cover in the northern of Semarang city.
The study of SSC patterns on coastline changes in Socah Gulf using Landsat imagery and in-situ data
Authors: Taufik M , Nugraini L D , Pratomo D G , Bioresita F 
Published: December 2019

Abstract
Socah as an economical buffer in Surabaya Metropolitan Area becomes one of important sub-districts in Bangkalan. As a shallow coast, this area is predicted to have significant coastline changes and a unique sedimentation pattern. This research aimed to analyze the sedimentation pattern and coastline changes in Socah. The 30 m of Landsat imagery was used in this research to observe sedimentation pattern that is represented by a suspended sediment concentration (SSC) trend from 2013, 2015, and 2018. Landsat images were also used to monitor the coastline changes in Socah starting from 1994 to 2018. From the sea color analysis, SSC values in rainy season are higher than those in dry season. The difference of SSC average between two seasons, in three stations, is 127 mg/L. SSC values in 2018 is also higher than those in previous years, with difference up to 94,17 mg/L in dry seasons and 357,67 mg/L in rainy seasons. Based on coastal changes calculation in the MHWL position from 1994 to 2018, the coastline changes in Socah reaches +5,325 m at a rate of about 0,26 m/yr. Coastline changes in Socah cause the area increase in 2018 up to 3,534 ha or 0,06% bigger than that in 1994. Those changes are dominated by accretion in Junganyar, Buluh, and Penarjuh Villages.
Analysis of changes in land value of land use permit (IPT) with tax object sale value (NJOP) 2018 using market data approach (Case Study: Pucang Sewu Village, Gubeng Sub-District, Surabaya)
Authors: Deviantari U W , Salsabila R D , Dediyono A 
Published: December 2019

Abstract
Surabaya has land management rights called land use permit (IPT) or Certificates. Land use permit (IPT) is different from the status of the other land rights. NJOP market price is also obtained from Fair Market Value that have been calculated by the government. To find out the change in land value of IPT with NJOP, market data approach method is used to discuss market data in each zone that has been classified. The results of the analysis that have been done show that the highest average indication value (NIR) is Rp 34,951,545. The land value of IPT also influences the changes in land values towards NJOP. The highest increase in the GP1 zone is 1,782.65% and the lowest in the GP13 zone is 10.95%. This is caused by factors that affect the land value those are land rights, land location and road accessibility in Pucang Sewu.
The tsunami prone area for marine tourism activities (case study: Tulungagung District)
Authors: Budisusanto Y , Pribadi C B , Dianita R 
Published: December 2019

Abstract
Tulungagung District is one of the regions that has a coastal area that is used for various activities, one of which is marine tourism. Tulungagung District is located directly facing the Indian Ocean has the potential for a disaster, especially a tsunami. The level of tsunami disaster risk in coastal areas and sea space in which the majority is used for tourism can result in loss of life, treasure, and property for people who live on the coast. This study identifies the use of marine and coastal space, especially for marine tourism activities and analyzes the level of risk based on the area that has the potential to threaten the tsunami disaster. This study resulted in a very high-risk area affected by the tsunami disaster with the top regions, namely in Besole Village which is used for Popoh Beach tourism, Sidem Beach, Fishing Port, settlement, aquaculture, and Floating Net Cages with the area affected the impact is 55,536 ha. Equipped with an evacuation route to the gathering point and TEA (Final Evaluation Place).
Estimation of sea-level variability around the Java Sea and Karimata Strait using Cryosat-2 Altimeter
Authors: Pampanglola S M N T , Handoko E Y , Yuwono  
Published: December 2019

Abstract
Sea-level rise is a big problem in the future. Indonesia is a country with the potential impacts of sea-level rise; therefore, the continuous monitoring of sea-level variability becomes urgent. Globally, sea-level rise is up to 3 mm year−1 estimated by satellite altimetry data. How about the sea level rise in Indonesia, particularly in western Indonesia such as Java sea, Karimata Strait? This paper aims to estimate the sea-level rise in the western Indonesian seas, such as the Java Sea and the Karimata Strait. The estimation was derived using the Cryosat-2 altimetry data. The data used is in a period of 9 years (2010 to 2018). The trend in the period is negative 4 mm year−1. The area also has a low correlation with ENSO with a value negative 0.25
The Comparation of Low Water Level Based on Observation Time Variations in Jakarta
Authors: Khomsin  , Pratomo D G , Marantika H A W 
Published: December 2019

Abstract
The implementation of the sea toll program positively encourages the development of new marine infrastructure along the area it passes. One of the problems that arise in the development of new marine infrastructure is the unavailability of chart datum values. Therefore, there is a need for tidal observations to determine the value of the chart datum in the area. This study contains a comparison of the value of the chart datum from data of 15 days, 30 days, three months, six months, and one year in the Jakarta waters. This study is using data from Jakarta tidal station of BIG. The results of this study can be used to consider the efficiency of tidal observations, especially in determining the duration of observation. The value of the chart datum (LWL) is calculated from the tidal component generated from the harmonic analysis using MATLAB. Significance test for chart datum resulted from MATLAB carried out in Excel. The average value of LWL in Jakarta waters from 15 days data is 0.104 meter, 30 days is 0.192 meter, three months is 0.216 meter, six months is 0.221 meter, and one year is 0.222 meter. The most significant difference from the LWL result is 0.118 meter from 15 days and one year’s data, and the smallest difference is 0.001 meters from six months and one-year data. The significance test determined that observation time variations didn’t have a significant influence on chart datum (LWL) values that resulted. So, this study determines that we can only choose 15 days, or 30 days tidal observation despite three months, six months, or one year’s tidal observations to result in Low Water Level value for a place.
The use of a MLP neural network for analysis and aodeling of land use changes with variations variable of physical and economic social
Authors: Subiyanto S , Sukmono A , Bashit N , Amarrohman F J 
Published: December 2019

Abstract
Modeling the land use changes is a method that used to understand the causes and effects of dynamic changes. The model in this research is the ANN model with Multi-layer Perceptron (MLP) network architecture and backpropagation algorithm. The Artificial Neural Network (ANN) method is a potential method for land change as well as test the predictive abilities that will be produced by the model. Land use change modeling uses a combination of ANN and GIS methods. The aim of this research are (1) predict land use and land use change in Banyumanik District in 2011, 2015 and 2019, (2) build the land use model using the ANN method and (3) predict of land use in Banyumanik District in 2027. To predict the land use change is use Markov Chain models. The purpose of modeling land changes is as well as the factors that drive these changes. Some of the drivers of land use changes are physical and socio-economic variables. Physical variables are distance to road, distance to river, distance to agricultural and vacant land, elevation, slope, and climate. Whereas the economic variables are population density, and market land prices. Physical data variables obtained from high resolution satellite image processing. For socio-economic variables data are obtained from statistical data and field surveys. In this research, the model is carried out in a framework with various variables that are different, so that the best model is obtained. Cramer’s V value each variable is tested to see the relationship between these variables.
Preliminary coseismic deformation associated with the July 7th2019 M7.0 north Maluku earthquake
Authors: Susilo  , Meilano I , Daryono  , Efendi J , Sarsito D A , Basuki A Y 
Published: December 2019

AbstractThe 2019 July 7thNorth Maluku earthquake with M7.0 occurred in the Sangihe double subduction zone. The earthquake epicenter is located at latitude 0.54 N and longitude 126.19 E. Here, we employ continuous Global Positioning System (cGPS) observations to estimate coseismic deformation associated with the North Maluku earthquake. Using 6 days cGPS observations before the event and 6 days cGPS observations after the event we estimate coseismic deformation at 4 nearest cCGPS stations. The coseismic deformation for CTER (Ternate) cGPS stations which located about 134.80 km from epicenter is about 8.4 mm to north-west direction, while the coseismic deformation for CBIT (Bitung) cGPS station (about 151.68 km from epicenter) is 8.3 mm to the south-east direction. Coseismic deformation for another two cGPS stations (CTBL/Tobelo and CTHN/Tahuna) are about 3.0 - 3.6 mm. This value is very important to maintenance the Indonesian geodetic control network in Indonesia and earthquake studies in Indonesia.
Inverse Distance Weighting interpolation on the optimum distribution of kernel - Geographically Weighted Regression for land price
Authors: Handayani A P , Deliar A , Sumarto I , Syabri I 
Published: December 2019

Abstract
Land, as a commodity, has high economic value that was rapidly changing. It requires a model of land price estimation that can counterbalance the demand. The model of land prices can be formed by calculating the proximity distance between land parcels to parameters that gave an effect on surrounding price changes, such as infrastructure and other public facilities. GWR (Geographically Weighted Regression) is a spatial analysis technique based on a regression method that used in this study. Using GWR, the boundaries of the surrounded land area will determine in the form of bandwidth values. The bandwidth is analogous to the radius of a circle, with the point of the land that will be estimated as the center. This bandwidth plays an important role to determine how far the distance or how many points will influence the price of a land area. The estimation of land price is conducted by assign a weight to the price of other parcels which are within the bandwidth range following the Kernel weighting function, Bi square, and Gauss. The land price bandwidth obtained is then interpolated using the IDW (Inverse Distance Weighting) method to form the bandwidth model of the entire study area. Weighting with Adaptive kernel Bi-Square gives better results compared to Adaptive Gauss kernel.
Volcano deformation monitoring using geodetic method: optimal network design
Authors: Sarsito D A , Kriswati E , Meilano I , Andreas H , Pradipta D 
Published: December 2019

Abstract
Until nowadays there is no analytical equation that exactly state number of observing stations that should be installed and how the stations should be spatially distributed in the GNSS geodetic survey for volcano deformation studies. Due to the uniqueness of the deformation pattern of any volcano, which need sensitive monitoring network to detect small changes, the network design depends strongly on the uniqueness underlying physical phenomena. In this research, the geodetic network is designed based on physical equations to find the source including a simple spherical source of Mogi model and 3D-dislocation equation of Okada model for dykes and sills. In principle, those physical equations are used to represent the volcano deformation phenomena from surface horizontal and vertical displacement measurement. Furthermore, those physical equations are used for a reference design and realization of monitoring network. Our calculation applied at Agung and Batur volcanoes show that minimum number of observing stations depends on the total number of parameters, the combination of source shape assumption and field situation and need different type of densification in the next future measurement.
Analysis of the impact of land cover on Surface Temperature Distribution: urban heat island studies i}n Medan and Makassar
Authors: Muzaky H , Jaelani L M 
Published: December 2019

Abstract
The increasing number of an urban population in Indonesia causing Urban Heat Island (UHI) phenomenon that has to be the concern for the local government. Urban Heat Island is a phenomenon of the surface and thermal air climate that is warmer than the surrounding non-urbanized areas due to population density. This phenomenon is identified by the growing number of impervious surface area that can store heat energy better than any other surface area. A ground-based temperature monitoring system can observe this symptom but on a smaller scale. If we want to monitor the UHI in a larger spatial scale, we need to set up a much more ground-based temperature monitoring system, and that would cost too much money. Satellite-derived Land Surface Temperature (LST) may be the solution to this problem. In this study, the UHI phenomenon was examined in two cities in Indonesia: Medan and Makassar using Landsat 8 OLI/TIRS imagery. The Single Channel Algorithm (SCA) was used to retrieved LST data. Spectral indices such as Normalized Difference Vegetation Index (NDVI), Modified Normalized Difference Water Index (MNDWI) and Visible Red –Near Infrared Build up Index (VrNIR-BI) were used. The mean LST in Medan and Makassar was 30.46°C and 30.76°C respectively. The study revealed that mean LST in the vegetation area was the coolest among the impervious and the mixing area. The Pearson Product Moment Correlation to analyze the relationship between land cover that is represented with NDVI values and LST in those study area shows that they have negative relationship. The correlation coefficient between NDVI values and LST in Medan and Makassar was -0.65; and -0.63. While the correlation coefficient between VrNIR-BI values and LST in Medan and Makassar was 0,65 and 0,63 respectively.