bluuebunny/crossref_metadata_2025_split huggingface dataset:
A quantitative analysis pattern for regional risk conduction
Authors: Su Jie , Zhang Xinyue , Zhou Ling , Yin Yue 
Published: December 2019

Abstract
Risk conduction refers to a certain risk can lead to the spread of risk accidents, causing other risks through many ways. Conductivity is a basic characteristic of risk, especially when the research object is regional risk. Aiming at the conductive characteristics of regional risk in scenic spots, based on Bayesian rule and total probability formula, this paper explored a regional risk conduction pattern. Firstly, risk management system consists of risk carrier, risk incentive and risk performance. The consequences of one risk may also be the risk environment of another risk, so the correlation between risks can be established. Secondly, construct regional risk transmission network with three layers of variables. Starting with the specific risks, analyzing the possible risk consequences, judging whether these risk consequences will lead to secondary risks and calculating the conditional probability of secondary risks based on conditional probability and full probability formula. Last, according to the conduction probability between risks, the comprehensive severity of the consequences is calculated after considering risk transmission. The conduction probability between risks and seriousness of risk after considering conduction can be obtained through this model. It provides a quantitative analysis tool for regional risk management and is helpful in two aspects: providing monitoring focus before risk occurs, and cutting off conduction path to prevent further risk expansion when risk occurs.
Robust beamforming optimization for magnetic resonance coupling wireless power transfer systems
Authors: Lin Wuxing , Xu Zhimeng , Hu Jinsong 
Published: December 2019

Abstract
Magnetic Resonance Coupling (MRC) wireless power transfer (WPT) is a promising technique for portable devices and Internet of Things applications, which can transfer power to energy-constrained terminals in mid-range with relatively high efficiency. To enhance the transfer performance, by applying more coils in transceivers, multiple-input single-output (MISO) MRC-WPT system has attracted much attention in recent years. In this paper, a MISO MRC-WPT system with multiple transmitters (TXs) and a single receiver (RX) is studied and its robust magnetic beamforming problem is investigated. The optimal robust beamforming design of the currents of TXs is investigated to maximize the power received by RX with the mutual inductance error between TXs and RX, whereas the total power required is less than a certain value and each TXs has a certain limited transmitting power. By using certain transformation techniques, the optimization problem is converted into a relaxed semidefinite programming (SDP) problem which can be solved efficiently. We further prove that the solution of the relaxed SDP problem is always rank-one, which indicates that the relaxation is tight, and the optimal solution for the problem was obtained. Numerical results demonstrate that the proposed beamforming design can achieve up to 97% transfer efficiency by reducing the measurement errors.
Grid-search wolf pack optimization algorithm for two-dimensional OTSU image segmentation
Authors: Lv Ziyi , Liu Kang , Wang Dongxing , Qian Xu 
Published: December 2019

Abstract
Compared with One-Dimensional OTSU, Two-Dimensional OTSU includes the relationship about the pixels of the image and improves the anti-noise ability of the algorithm. However, as a result of too much computation caused by considering the relationship about pixels of the image to be processed, Two-Dimensional OTSU always takes much time. To keep the good performance of original Two-Dimensional OTSU as well as reduce the time spent; this paper proposes Grid-Search Wolf Pack Optimization Algorithm (GSWA) for Two-Dimensional OTSU Image Segmentation. Firstly, it is based on the thought of adaptive shrinking grid search chaos wolf optimization algorithm with adaptive standard-deviation updating amount (ASGS-CWOA) that traditional wolf pack optimization algorithm was improved to enhance its performance, which includes Grid Search and Opposite-Middle Raid(OMR). Grid Search can enhance the wolf pack’s summon and siege capability. Moreover, discrete step-size was adopted to adapt to discrete solution space of Image-Segmentation. Experimental results indicate that GSWA-OTSU not only reduces the segmentation time, but also takes the segmentation quality into account.
Low-carbon optimization of spatial pattern in Shenfu New District based on genetic algorithm
Authors: Jia Peiwen , Fu Shilei , Li Zhenxing , He Huan 
Published: December 2019

Abstract
The realization of low-carbon development is the key to solving the global climate change problem. China’s total carbon emissions share in the world is increasing year by year. Taking the road of low-carbon city development is the inevitable trend of China’s city development in the future. Increasing the concentration of urban land space can improve energy utilization and achieve the optimal goal of energy conservation and emission reduction. Genetic algorithm is a method to search the optimal solution by simulating the natural evolution process, providing a scientific solution for low-carbon city planning. This paper starts with the spatial arrangement of land use, minimizes people’s spatial travel distance through the global optimization ability of genetic algorithm. It summarizes the low-carbon spatial organization characteristics of Shenyang-Fushun New City, explores the analysis method of urban spatial low-carbon pattern, puts forward the optimization strategies of urban spatial structure, urban transportation network, green space system and low-carbon industrial layout, adjusts the development trend of urban areas, promotes low-carbon living and production behaviours, and provides theoretical basis and practical experience for the planning of low-carbon cities.
Overall setting and cooperation method for power protection of large hydropower plants
Authors: Yang Lei , Xiang Chuan , He Xin , Xing Chao , Xi Xinze , Sheng Shixian , Xiao Can , Liao Jiasi 
Published: December 2019

Abstract
Aiming at solving the operation risk problems caused by the improper protection settings, this paper proposed a new method for the protection setting of the auxiliary power of large hydropower plants. This method applied the idea of setting from LV grade to HV grade, where each type of protection sets the value based on the setting principles and calibrates their sensitivity with their own protection range. This method handled the insufficient sensitivities of protection at the price of sacrificing the lower levels of the protection. Then based on the settings from the dispatch and control center, it vertically conducted the verification of protection setting coordination, preventing the override tripping and expanded scope of accidents. The practical applications indicate that this method could improve the protection setting accuracy of large hydropower plants and limit the operation risks of the auxiliary power within a low level.
Simulation application of virtual reality technology in legal education
Authors: Jian Kunyi , Nai Peng , Yu Tao 
Published: December 2019

Abstract
The virtual simulation teaching of law is a systematic practice course of judicial case handling. This course introduces VR technology, enabling testers to play the role of a judicial officer in a virtual environment to handle cases. This design is realized through the intersection of the teaching design by the arts and sciences, the construction of virtual models, and man-machine interaction. Through this design, students can improve their ability to handle cases, develop students’ thinking, and enhance students’ ability to use their knowledge comprehensively. In order to ensure better experimental results, it is necessary to provide technical support from scene simulation, case simulation, mechanism simulation and so on.
Combining simulation model and field observation in understanding crop productivity to climate variation
Authors: Tjahjono R E P , Perdinan  , Purwanti D , Gunawan L V , Nadhifah F N 
Published: December 2019

Abstract
Changes in climate characteristics affect the growth and development of paddy and therefore affect rice productivity. Simulation model can be used to study the effect of climate change on rice productivity. In this study, combination of crop simulation model and field observation are used to comprehend the effect of climate change on rice productivity. The study uses field observation data. Climate, soil, and crop management input variable are similar to observation conditions. This research used default Aquacrop to estimate rice productivity in response to climate changes in Subang and also used DSSAT to estimate rice productivity and biomass components. The observation results showed that rice productivity in Pamanukan, Binong, Pagaden, Purwadadi, and Cijambe are about 6, 9, 7, 7, and 4 ton/ha. The output of the crop simulation model shows that rice productivity estimation based on the model have similar amount to rice productivity based on the field observation. Productivity estimation of simulation models is based on climate variations distinguished by temperature and rainfall accumulation. In the applications, it can be used to prepare mitigation and adaptation actions
Preparation and Characterization of Activated Carbon from Palm Kernel Shell at Low Temperature as an Adsorbent for Methylene Blue
Authors: Fahmi A G , Abidin Z , Kusmana C , Kharisma D , Prajaputra V , Rahmawati W R 
Published: December 2019

Abstract
The preparation of activated carbon as an adsorbent from biomass waste was usually conducted at high temperatures. In this research, activated carbon was prepared from palm kernel shell by the pyrolysis process at temperature under 400 °C to reduce excessive energy consumption. This study aims to identify the surface character of the formed activated carbon as an adsorbent for methylene blue. The pyrolysis process produced activated carbon which has a hydroxyl (3102–3423 cm−1) and carboxyl (1650 cm−1) functional groups, resulting in ionic interactions between activated carbon and methylene blue. The equilibrium data fit the Langmuir isotherm model with correlation efficient higher than 0,99. The highest adsorption capacity is 0.28 mmol/g adsorbent for activated carbon which is hydrolyzed at 350 °C with a surface area of 523 m2/g adsorbents.
Spatial model of peatland fire control strategies through peat maturity level approach: Case Study of the Kepulauan Meranti District
Authors: Turmudi  , Saharjo B H , Prasetyo L B , Tjahjono B 
Published: December 2019

Abstract
Tropical peatland in Indonesia is the largest in the world. Approximately 30% of the area potentially can be converted into agriculture and plantations. However, it is very susceptible to forest fires due to agricultural land preparation. The practice of burning forests is done because of some reasons namely fast, inexpensive, and produced ash that will fertilize the soil. The impact of land and forest fires is very large both in terms of economic, social, and environmental. Fires on peat lands consist of crown fire, surface fire, and ground fire which have a severe impact on environmental, social and economic impacts. In terms of management, it is also more difficult and longer time compares to fires on mineral land. The main objective of this paper is to use spatial modeling to provide an early warning system for forest fires on peat lands based on peat maturity level approaches. Physical data, which include the level of maturity, peat thickness, land unit, and land cover will be considered as an independent variable. Meranti Islands District, Riau Province is selected as a case area. The spatial analysis was carried out on physical aspects and the distribution of hotspots that had a level of confidence greater than 80%. The results showed that identification of potential fires through peat maturity levels, cannot be used optimally because peat areas that have different levels of maturity are not separate polygons or still in atribut form., The land cover of shrubs should be a major concern in the identification of potential fires.
Contribution of forest degradation in Indonesia’s GHG emissions: Profile and opportunity to improve its estimation accuracy
Authors: Adinugroho W C , Prasetyo L B , Kusmana C , Krisnawati H 
Published: December 2019

Abstract
The degradation of tropical forests in Indonesia is perceived to be an essential contributor to land-based greenhouse gas (GHG) emissions, in addition to deforestation. However, the impacts of forest degradation are currently understudied and poorly understood, in comparison to deforestation, which is easier to be detected and thus more ready to be quantified and monitored. In order to understand better the contributing factors of Indonesia’s GHG emissions profiles from the forestry sector as well as taking the opportunity to tackle climate change, improving knowledge on GHG emissions from forest degradation is essential. Both literature review and simulation using a carbon accounting model were used in the analysis. National emissions profile of Indonesia has been reported to the UNFCCC, in which forest degradation has been one of the sources of emissions, although its emission value tended to be underestimated and may contain high uncertainty. It is because logging and fires in secondary forests have not been fully captured as sources of emissions, as well as post-disturbance growth that potentially enhance forest carbon stocks. This study clearly shows the importance of calculating GHG emissions from forest degradation caused by anthropogenic activities (logging, fires). It is suggested that accuracy can be improved by using a system approach that occurs in the ecosystem carbon cycle through modeling that can capture the flow of carbon following the disturbance events.
Land use/cover changes and spatial distribution pattern of rice field decreasing trend in Serang Regency, Banten Province
Authors: Pravitasari A E , Suhada A , Mulya S P , Rustiadi E , Murtadho A , Wulandari Siti , Widodo C E 
Published: December 2019

Abstract
Serang is one regency in Banten Province which is located near to Jabodetabek, the largest metropolitan area in Indonesia. The economic growth at its periphery has a negative impact on the decreasing of rice field in the regency. Objectives of this research are: (1) to analyze decreasing of rice field in Serang Regency from 2006 to 2018 and to project land-use change in 2030, and (2) to identify spatial distribution pattern of rice field in Serang Regency. Land-use change was conducted by ArcGIS10.3 using Landsat images. Identification of spatial distribution pattern of rice field was conducted by Moran and LISA (Local Indicator of Spatial Autocorrelation). Meanwhile, land-use change projection was conducted using CA-Markov. Results show that during 2006-2018 there has been an increase of built-up area (7,295 hectares) and decreasing of rice field from 60,949 hectares to 54,232 hectares. A larger decreasing rice field occurred at districts located at the eastern part of Serang Regency. The result of land-use change projection shows the increase of built-up area and rice field conversion in Serang Regency in 2030. Decreasing rice field in the long term may threaten food security at the local and regional level.
Spatial modeling of paddy fields in Gorontalo Regency, Indonesia
Authors: Subandi E L , Widiatmaka  , Ardiansyah M 
Published: December 2019

Abstract
Gorontalo Regency has the largest paddy field area in Gorontalo Province. But until now paddy fields in Gorontalo Regency continue to experience conversion. Protection of paddy fields is very important so that the rice needs are still fulfilled so as to realize food sovereignty. The objective of this research is to compile the spatial model of paddy fields in Gorontalo Regency in 2015-2035. The method used is a Weighted Linear Combination (WLC) based on Geographic Information Systems (GIS) and Cellular Automata (CA), and uses thematic accuracy tests for model validation. The results of the validation of the spatial model of paddy fields in Gorontalo Regency have a good level of accuracy, so that the scenarios built can be accepted. Based on scenario 1, paddy fields in 2015-2035 experienced significant conversions despite the increase in paddy fields in other places. The policy intervention built on scenario 2 shows that conversion of paddy fields in 2015-2035 can be slightly suppressed, but the area of paddy fields is still decreasing. The policy intervention built on scenario 3 shows that most of the conversion of paddy fields in 2015-2035 can be reduced so that the area of paddy fields can increase.
Ecotourism land suitability based on the different weighting method in the buffer zone of Mount Ceremai National Park, Kuningan Regency, West Java Province
Authors: Nugraha D , Alikodra H S , Kusmana C , Setiawan Y 
Published: December 2019

Abstract
Location suitability selection for ecotourism development is determined by various variables. Differences in the characteristics and complexity of the region cause each variable to have a different influence. In the process of multi-criteria decision analysis, the influence of each variable can be identified through several weighting methods, such as ranking, rating, and pairwise comparisons. This paper aims to show the result of land suitability examining for ecotourism development using the different weighting methods and selecting the best method according to the complexity of the case. This research was conducted by using ten ecotourism suitability variables in the buffer zone of Mount Ceremai National Park in Kuningan District, West Java Province. Based on the results of the analysis, the differences of the ecotourism suitability map that had produced by the Ranking and Rating methods were not significantly different. However, the pairwise method produced different suitability maps than that of rating and ranking. Pairwise tends to classify a larger area as a suitable class. Therefore, the selection of weighting methods can be adjusted to the need and availability of existing resources.
Analysis of risk failure of solid waste management processes in universities: Case Study of Pancasila University Jakarta
Authors: Rimantho D , Hidayah N Y , Herzanita A 
Published: December 2019

Abstract
The concern for environmental impacts is environmental degradation. One of the environmental problems is solid waste which has the potential to cause dangerous risks. Therefore, this study will analyze the risk of solid waste management factors at the university using the Failure Mode Effect Analysis (FMEA) method. Some information about risk factors from the solid waste management process was collected using literature studies and Ishikawa diagrams. The number of experts or experts used in this study was 5 people. The expected results of this study will be able to show the value of the Risk Priority Number (RPN) of the factors that are the target of the study. Furthermore, from this value, the level of risk can be known from each factor. Thus, risk evaluation (priority risk to be controlled) in the solid waste management process is focused on the highest risk category. The results of this study can be a guideline for evaluating solid waste management in universities in Indonesia and other developing countries. Various developments to improve the results of this study need to be carried out that will be useful for future actions.
Potential growth of meliponiculture in West Halmahera, Indonesia
Authors: Salatnaya H , Widiatmaka  , Sumantri C , Kahoho S , Fuah A M 
Published: December 2019

Abstract
Meliponiculture is stingless bee’s beekeeping, developed in many countries, also Indonesia. Stingless bee produced honey with high value, wax, and propolis that used by humans, also to pollinate crops. West Halmahera, North Moluccas Province, Indonesia has potencies for the growth of meliponiculture, supported by natural resources that produced nectars and pollens to feed them, as well as resins for the nest and defenses. Land suitability has been considered in beekeeping. This research was conducted in West Halmahera. This paper aims to evaluate the land suitability for the growth of meliponiculture in West Halmahera. The method used was Multi-Criteria Decision Making. There are four (4) criteria used, which are: elevation, temperature, bee forage potency, and land use. These criteria were weighted by Analytical Hierarchy Process. The criteria’s weights, as well as sub-criteria scores resulted, were used to delineate areas that are suitable for bee in a model by using Geographic Information System. The result of the analysis showed that West Halmahera has 99% potencies for the growth of meliponiculture in various levels of suitability. The highly suitable (S1) area for meliponiculture is 26.46%, suitable (S2) is 59.46% and marginally suitable (S3) is 13.18%.
Factor affected adoption of combine harvester in Banten province-Indonesia
Authors: Siagian V 
Published: December 2019

Abstract

Banten Province received combine harvester (rice harvesting equipment) assistance since 2015 as many as 25 units. The purpose of this study is: 1) To find out the factors that influence the adoption of combine harvester (CH) in Banten Province, 2) Know the comparison of harvest cost efficiency with the use of CH and human labor. The sampling method used purposive sampling with 123 respondents. The analysis method uses a logistic regression function analysis. The results of this study are: 1) Factors that influence CH adoption are total land area, price of grain harvest, average human labor wage, and grain productivity. 2) The average cost of harvesting with human power is IDR 3,342,403 per ha, 177% higher than that of CH which is IDR 1,204,475 per ha. The number of harvest workers with CH averaged 5.4 work man day (WMD) while the manual method averaged 23.9 WMD (333.3% lower). Suggestions central and local governments need to provide training to improve the CH machine and the rules that prohibit CH from outside the province from participating in harvesting rice in Banten Province.
Combining Both ends of pipe treatment and cleaner production – A Case study of tofu SME in Bogor
Authors: Paramitadevi Y V , Resmeiliana I , Apriliani F 
Published: December 2019

Abstract
The implementation of cleaner production in tofu SME has limited challenges such as financial factors, a commitment of the owner and waste generation instead. To elaborate cleaner production with waste management by means end of pipe treatment, this paper was described identifying the process of cleaner production options, dealing with tofu SME’s owner and implementing significance options. The Goals of the paper were to choose the appropriate strategy for implementing cleaner production and to implement a wastewater reactor for organic parameters removal. Based on fuzzy AHP analysis, priority options were obtained, namely batch anaerobic reactor installation and workers training (0.336), both biogas installation and equipment maintenance (0.377) and continuous waste treatment plant and soybean machine’s grinding installation (0.287). The effectiveness of the biogas reactor after installed reaches 90% respectively, with the length of detention time fulfilling the design criteria of 12.4 days.