bluuebunny/crossref_metadata_2025_split huggingface dataset:
A policy review on the development of wood-based biomass energy: strengthening incentive for investment
Authors: Subarudi  , Kartika Sari Galih 
Published: May 2020

Abstract
Problem on national energy becomes important in relation to National Determined Contribution (NDC) particularly emission target from energy sector. One of renewable energies is wood based biomass energy (WBBE). The objectives of the research are: (i) to review policies on WBBE development, and (ii) to provide share estimation of WBBE in national energy supply. Method used is content of analysis for reviewing regulations on energy field and supply and demand for estimating share of WBBE. Research shows that WBBE is an alternative energy as substitution for now renewable energies such as oil and gases and coal. However, this still requires, such as, presidential instruction related to WBBE provision and utilization. Potential tree species for WBBE are Kaliandra (Calliandra callothyrsus), Akasia (Acacia auriculiformis), Gamal (Gliricidia sepium), dan Lamtoro (Leucaena leucocephala). In national energy mix, WWBE is allocated with other energies for 2%. This share can be increased more than 2% if it is supported by various policies at national and field levels, and provision of forest and land by Ministry of Environment and Forestry and National Land Agency.
Sources of income from HTR areas in Boalemo: no single policy for improving welfare of the communities
Authors: Suka A P , Surati  , Kurniasari D R , Justianto A 
Published: May 2020

Abstract
Under social forestry programme, community plantation forest (HTR) scheme aims to increase welfare of farmers and provide timber supply for industry, while at the same time also improve the environment. HTR permit has been granted to forest farmer groups in Boalemo District since 2012. This research tries to explore how farmers make use of both their HTR and private land, contribution of these land into household income and how the land-use systems applied would determine environment condition. Results reveals that agriculture and estate crops contributes for about 56% and 38% respectively into total income of households. In addition, when most farmers manage their private land, contribution of the private land provides almost twice to total income compared with income contribution from HTR land. Meanwhile, floods has been hit Boalemo District every year with more people suffering from the floods. Learnt from research results and findings, opportunities to combine various policies are available to utilize the HTR land for growing trees for future income, and the farmers can continue their current land-use system in their private land for short- and medium-term income. Considering the HTR land are located in hilly contour, the trees could potentially reduce erosion and flood incidents.
Development of wood pellets processing industry for renewable energy
Authors: Effendi R , Bangsawan I , Maryani R , Justianto A 
Published: May 2020

Abstract
Wood pellets are environmentally friendly fuel with zero carbon emissions that have been recognized by the United Nations. This study aims to provide data and information to the development of wood pellets as a renewable energy. The study was carried out in Ciamis Regencies in 2017. These locations have a lot of potential for sawn timber and plywood industries, and wood pellet trading activities. The study employed descriptive analysis coupled with economic and financial analyses. The study shows that the wood pellet industry development needs to focus on the improvement and management of the value and supply chains. There are 5 stages in development wood pellet industries, comprising: 1) observation and identification, 2) regional planning and developing supporting infrastructure, 3) technology planning, building production and training facilities, 4) pelletizing, and 5) designing institution for production and marketing. A potential source of raw material for the processing of wood pellets are feasible to be developed in Ciamis.in terms of social, economic, environmental and policy aspects. The potential market for wood pellets in West Java are tempe and tofu industries, textile industries, farm and food industries. All of these illustrate the good prospect for developing wood pellets for the renewable energy business.
Benefit and perceptions of people towards karst in Pangkep District, South Sulawesi
Authors: Hayati N , Dewi I N 
Published: May 2020

Abstract
Karst is very important because it has unique potential, diverse resource and has many benefits. Karst has a role in climate change, related to the provision of water resources and absorption of atmospheric carbon dioxide. For some people around karst, the benefits of karst are still unrecognized. This research aims to know the benefits of karst, level of perception and relationship of perceptions with the respondent characteristics to karst as water storage in Pangkep District. Data are collected by field observations, interviews, questionnaires and literature studies. Data are analyzed implementing descriptive analysis, Chi-Square, and Coefficients Correlation. The results of community perception show that karst function as a store of water (60%), tourism (10%), windbreaks (10%), land for farming (5%), mining (3%), microclimate regulators (3%) and others (9%). The level of public perception towards karst as water storage is moderate. There is a relationship between people’s perceptions and their level of formal and informal education, water-sources uses and gender. The relationship between perceptions and the level of informal education is the strongest with a medium category. To improve perceptions of karst function, socialization is needed about the importance of maintaining karst existence for the community.
Making community forestry work for climate change mitigation: case on production forest areas in Veteran Jaya Village, South Sumatra Province, Indonesia
Authors: Lestari S , Premono B T , Winarno B , Kunarso A , Lukman A H 
Published: May 2020

Abstract
Community Forestry becomes new paradigm in the forest management system in Indonesia. Through this mechanism, it is expected that the role of the community in forest management will be stronger and the benefits of forests to improve community welfare can be realized. This study aims to determine the impacts of community forestry programs and also to observe further how the community rehabilitates marginal forest areas as an effort to reduce the effects of climate change. Surveys, FGD and interviews to stakeholders and community groups that obtain forest management rights are conducted to collect data. The research-results explain that community-forestry-permit provides a freedom for the community, hence they could manage the land optimally. The implementation of community forestry still requires assistance from local government as a facilitator so that the programs carried out are truly useful and provide optimal results. Furthermore, the establishment of institutions, program design, and planning in the management system also still needs to be strengthened. The term of climate change has not been widely known by the community in rural areas of South Sumatra. However, they have realized the impact of climate change. Rehabilitation activities and several efforts to increase the number of land cover in community forestry area will be an opportunity to improve the ecosystems condition, mitigate the climate change and diversify commodity choices of the community for better livelihoods.
Joint production of wood, resin, and carbon from pine plantation forest in Java
Authors: Indrajaya Y 
Published: May 2020

Abstract
Pine (Pinus merkusii) plantation forest has been developed in Java Island under Perhutani management with clear-cutting and artificial regeneration silviculture system. The main products of pine plantation forests are wood and resin. Although the Indonesian government has committed to reduce the greenhouse gases (GHGs) emission for 26% by 2020 with voluntary efforts, pine plantation forest may contribute to reduce GHGs emission through enhancing carbon stock. The additional income from carbon sales might or might not change the optimal rotation of the pine forest. This study aims to analyze the effects of additional income from resin and carbon benefits on the optimal rotation of pine plantation forest in Java. The modified Faustmann model is used to determine the optimal rotation. The results of this study show that (1) the inclusion of resin benefits may lengthen the optimal rotation age, (2) the optimal rotation of timber and resin production of pine forest in Java for size class III, IV, V, and VI are 34, 33 32, and 30 years respectively, (3) additional income from carbon sales may increase carbon stock by 8%, and lengthen optimal rotation for 3 years. Perhutani may change the optimal rotation due to additional benefits from resin and carbon.
Mangrove management and climate change: a review in Indonesia
Authors: Arifanti V B 
Published: May 2020

Abstract
Mangrove deforestation and degradation have been occurring at alarming rates. Indonesia, a country with the largest mangrove coverage in the world, experiences the highest mangrove loss mainly due to mangrove conversion to aquaculture. If this destruction continues, loss of a very unique ecosystem that has multi-benefits ecologically, socially and economically will happen. This paper aims to unravel the sensitivity and potential mitigation capacity of mangrove ecosystem to climate change, describe how mangroves have been managed in Indonesia and how they should be managed in the future. Studies haved confirmed the significant mitigation capacity of mangrove ecosystems to climate change, not only in terms of carbon storage and sequestration, but also the resilience and buffering capacity of this ecosystem to climate-induced catastrophic events. To ensure the existence of this ecosystem, mangrove management in Indonesia, which are mandated to Coordinating Ministry of Maritime and Investment, Ministry of Environment and Forestry, Ministry of Fisheries and Marine Affairs, Ministry of National Development Planning (Bappenas) and Coordinating Ministry for Economic Affairs, should be strengthened and improved by removing barriers and avoiding the business-as-usual practices that would lead to management failure.
Creation of autonomous groups of combine harvesters and tractors for agriculture based on the Mivar decision-making systems “ROBO!RAZUM”
Authors: Varlamov O O , Aladin D V , Adamova L E , Chuvikov D A , Saraev D V 
Published: May 2020

Abstract
The Mivar decision-making system (MDMS) “ROBO!RAZUM” can be used to control autonomous combine harvesters and tractors, which can additionally perform a variety of actions in the process of moving through the field: working in group interaction mode, performing tasks in different weather conditions and even with a faulty or disabled technical vision using the internal map of the area and information from internal inertial sensors or from the GLONASS system. The theoretical basis for the application of MDMS “ROBO!RAZUM” is the result of the practical implementation of MIPRA program, which dramatically reduced the requirements for equipment and time to solve the problems of STRIPS-planning robot actions.
About the project developing “MIPRA” – the intelligent planner in the state space for vehicles, tractors, and robots based on the architectural solutions of the Mivar systems for traffic enforcement
Authors: Aladin D V , Varlamov O O , Adamova L E , Chuvikov D A , Fedoseev D A 
Published: May 2020

Abstract
The task of creating a logical “strong” artificial intelligence (AI) to be used as new decision-making systems for autonomous vehicles, tractors, and robotic systems draws increasing attention of scientists around the world. Essentially, it is the creation of “brains” for vehicles and any other transport systems, including cyber-physical systems. The mivar technologies of logical AI allowed solving many problems at a qualitatively new level and reducing the decision-making time from billions of years to hundredths of seconds, which enables real-time vehicle control. This paper shows how the application of mivar products (mivar expert systems) allows solving another class of problems – state-space planning (STRIPS planning). In turn, the solutions of these problems enable the development of driver assistance systems at a new level and creation of a fully autonomous vehicle.
Features and prospects of the electric vehicle in the Vietnamese automobile market
Authors: Minh Nguyen Khac 
Published: May 2020

Abstract
In this scientific paper, the author attempts exploring the notable features and the prospects for the advancement of the electric vehicle in the Vietnamese automobile market. The need for utilizing electric vehicles, the challenges associated with the development and marketing of them, and advantages for the Vietnamese market are broke down in detail. An analysis of reliable data showed that in recent years, the automotive industry in Vietnam has developed quickly. Vietnam has many advantageous conditions for development and success in the electric vehicle market. However, to rapidly effectively execute the strategy of electric vehicles, more preferential policies of the Vietnamese government are required and it is necessary to build close relationships with the world’s automobile manufacturers.
Testing and calculation of vehicle adaptive suspension air springs
Authors: Yurlin D , Bakhmutov S , Kulagin V , Kuleshov R 
Published: May 2020

Abstract
The paper is dedicated to describing the methods of measuring the characteristics of suspension air springs (elastic pneumatic elements) on a test bench, as well as to the methods of evaluating their effect on vehicle parameters. The results of the measurement of air spring characteristics on the test bench under various conditions are presented together with the analysis of changes in their properties. A method for setting a universal force (load bearing) characteristic of the air spring, as well as a method for simulating it in the vehicle are suggested. The results of the vehicle simulation with characteristics of the air springs of different stiffness are shown, a numerical interval of the possible change in the vehicle behaviour parameters in case of change of suspension stiffness in the process of driving is specified.
Modeling the algorithm of the automatic emergency braking system with the prediction of the coefficient of tire grip
Authors: Petin V V , Keller A V 
Published: May 2020

Abstract
The problem of improving road safety is currently one of the most significant in the automotive industry. One of the promising ways to improve road safety is the development and introducing of intelligent active safety systems for automobiles. To solve the problem of improving safety, world leaders in the automotive industry are actively engaged in the development and implementation of intelligent control systems that provide control over the movement of the car and can partially intervene in driving. The article is devoted to the effectiveness of the automatic emergency braking system in accordance with the climatic and road conditions of Russia. The report discusses the problems of determining the coupling properties of the wheels of a car with a road on various surfaces, discusses the problems of predicting braking distance. Options for improving forecasting and building algorithms for the automatic emergency braking system are considered.
Some aspects of modern automobile transport development
Authors: Kotliarenko V I 
Published: May 2020

Abstract
The paper treats modern automobile transport development tendencies. In this regard, the main focus is on safety and ecology. Road accidents (hereinafter referred to as RA) are one of the main causes of death in the world, and every year they claim over 1.35 million lives, lead to injuries of up to 50 million people, and are ranked eighth among the main causes of death for all age groups. The economic losses caused by RAs in some countries reach 5% of the gross domestic product, in the Russian Federation this share is around 2%. The transport sector produces 18% of all global anthropogenic emissions and 23% of greenhouse gas emissions related to the energy industry. 3 million people die annually due to air pollution. A part of the listed problems can be solved by means of increasing vehicles’ autonomy and by creating driverless vehicles, the advantages of which are evident: safety - minimization of RAs which mostly occur due to human error; environmental friendliness - quantity optimization of the vehicle fleet, road traffic organization (optimal selecting route and driving modes) and decrease of fuel consumption (selecting driving modes); economic efficiency - decrease of costs for insurance and rapid-response (emergency) medicine in case of RA, decrease of cargo and people transportation costs by means of economizing driver’s salary and economizing fuel.
System of Requirements and Testing Procedures for Autonomous Driving Technologies
Authors: Ivanov A M , Shadrin S S 
Published: May 2020

Abstract
This article is dedicated to the subject of autonomous driving technologies’ testing system development for the purposes of technology certification on local market with respect to the local operational peculiarities and road safety aspects. The overview of UNECE document ‘Proposal for the Future Certification of Automated/Autonomous Driving Systems’ (ECE/TRANS/WP.29/GRVA/2019/13) is presented. Proposals for critical testing scenarios localization and complex virtual tests conduction are introduced, practical results are presented.
Novel Adaptive Control Method for BLCD Drive of Electric Bike for Vietnam Environment
Authors: Khanh Chuong Nguyen , Balasooriya Sachintha , Kavalchuk I , Kolbasov A , Karpukhin K , Terenchenko A 
Published: May 2020

Abstract
Electric bikes are a rising mode of transportation in developing countries as their use reduce the use of hydrocarbon-based energy sources as well as increases convenience for the commuters within the city by reducing traffic. Furthermore, the electric bikes have low noise emission and no exhaust gases produced, which improves the environmental footprint. Due to the Vietnam regulations, most electric bikes use brushless wheel-hub motors as the main drivetrain solution paired with various types of batteries. The key challenges in the design of the drivetrains are related to the efficiency and controllability areas, so the response of the drivetrain can be improved. The key area of improvement lies in the control system design to optimize the performance and energy consumption. This paper presents the research done on developing of optimization PID control algorithms by using GA (Generic Algorithm) and PSO (Particle Swarm Optimization) for driving a synchronized brushless DC motor for the electric bikes.
The performance assessment of low-cost air pollution sensor in city and the prospect of the autonomous vehicle for air pollution reduction
Authors: Phuong Linh Le Thi , Kavalchuk Ilya , Kolbasov A , Karpukhin K , Terenchenko A 
Published: May 2020

Abstract
Urban air pollution is clearly a constantly growing problem and the high level of urban air pollution has been shown to pose a significant risk to city dwellers. It is necessary to have low-cost sensors for data collection, ready data source allowing normal citizen to access to and gain information, and have prospect solutions (e.g. autonomous vehicle) for air pollution reduction in the city. The aim of the study is to illustrate the drivers behind the use of low-cost sensors and to review the performance of sensors. In addition, autonomous vehicle is expected to reduce pollution; therefore, the paper analyzes the benefits and adoption of autonomous vehicles in the future. The challenges and outlook for both low-cost sensor deployment and the adoption of self-driving vehicle will also be discussed. A literature review is used to obtain these aims. The study indicates that the main driver of low-cost sensor is to provide high-density spatiotemporal pollution data, assisting in creating emission inventories of pollutants and detecting pollution hotspots without capital investments. A number of performance aspects considered include the coefficients of determination (R2), variance (CV), repeatability, reproducibly and stability of the sensor. Self-driving vehicle is promising in the change of travel patterns and having impacts on the health of society. Technology and economic challenges, the willingness to use the sensor and the autonomous policy approach are the major challenges. In terms of the outlook, standard guidelines and the calibration methods for low-cost sensors, energy consumption savings and policy supporting for autonomous vehicle should be further investigated.
Experience in the development of an effective thermal management system for the high-voltage battery of the vehicle
Authors: Kurmaev R Kh , Struchkov V S , Novak V V 
Published: May 2020

Abstract
For the effective operation of the vehicle, which includes a high-voltage battery (HVB), it is first necessary to understand what conditions it is designed for. There are a number of criteria for the selection of HVBs for vehicles. One of them is the thermal management system, which ensures the operation of a HVB in optimal temperature mode. In HVBs, it is necessary to maintain an optimum temperature for maximum efficiency and service life. The article discusses the preferred thermal management system of the main manufacturers of vehicles with HVB. The technical solutions, the applied designs and the development trends of the designs of the temperature control of HVBs are described. On the basis of the considered structures, operating conditions and prospects for the development of the market for such vehicles, the concept of creating an effective thermal management system for HVBs for projected vehicles has been proposed. A classification of the thermal management system of HVBs as part of a vehicle, depending on the climatic conditions of operation, is proposed. One of the developed variants of perspective designs of high-voltage batteries of a vehicle operated in a wide range of temperatures is presented.
Self-adaptive algorithm for changing braking energy recuperation of an electric vehicle based on neuro-fuzzy inference system
Authors: Medvedev V , Rudakov I 
Published: May 2020

Abstract
This paper describes an expert system prototype that changes the brake energy recuperation coefficient of an electric vehicle. Blackboard is used as the basic architectural pattern, which allowed for working with data obtained from various types of knowledge sources. This approach made it possible to coordinate data from various sources, such as the opinions of drivers, information about the route and the condition of electric vehicles. The expert system is based on the adaptive neuro-fuzzy inference system ANFIS, the rules for which are obtained by mountain clustering data from the training set. Values are averaged using the C-means algorithm.
The Need for Creation of High-tech Tractors of 0.6-2 Traction Classes with High Degree of Automation
Authors: Solovyev R , Cheranev S , Karyakin S , Kolomeichenko A , Gribov I , Evgrafov V , Mezentsev N 
Published: May 2020

Abstract
The article shows the need for the creation of tractors of 0.6-2 traction classes (nominal traction force 5.4-27 kN) with a high degree of automation, which are in demand in the agricultural industry. The authors present the principle of creation of the 4WD modular platform with hybrid powertrain and unification of axles and some technical characteristics for each traction class. It is indicated that for the conditions of digital agriculture it is necessary to provide the possibility to control high-tech tractors in remote and/or unmanned operation modes.