bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vegetation analysis and tree species diversity in KHDTK Gunung Bromo, Karanganyar, Central Java
Authors: Nufus M , Pertiwi Y A B , Sakya A T 
Published: July 2020

Abstract
Forest vegetation analysis and structure is necessary to understand in order to set up the basis of forest governance and management of the forest plan. This study aims to determine the potential, structure, species composition, and inventory of plant species of the forest stand in the educational forest, namely KHDTK Gunung Bromo. Analysis of vegetation methods on sampling plots 20 × 20 m was made in the forest area to collect trees data. The systematic sampling with the random start was used, with the plot distance 100 m. In total, there are 100 plots were measured. The results showed that total volume and tree densities were 261.66 m3/ha and 291 trees/ha. The stand was dominated by the trees with a diameter range of 20 – 30 cm. Species composition is dominated by Pinus merkusii with Species Importance Value (SIV), average volume, and density were 163.23%, 156.67 m3/ha, and 202 trees/ha, respectively. However, the sapling stage was dominated by Dalbergia latifolia that showed by SIV 119%, indicating that D. latifolia was able to regenerate itself until the sampling stage. In addition, in the seedling stage, Swietenia macrophylla was the dominant species with density 400 seedling/ha, indicating that seed was adaptive and easily spread.
Conservation strategy of Cuing (Cyclea barbata Miers) in Mount Ciremai National Park as forest fuctional food based on bioecology and utilization rate
Authors: Adiyaksa I. K. , Zuhud E. A. M. , Siswoyo  
Published: July 2020

Abstract
The potential of Cuing (Cyclea barbata) was found in utilization zone of Mount Ciremai National Park. Based on applicable laws and regulations of utilization in conservation area, species in national park are not allowed to be harvested but there were still some people who utilized plants or animals in national park illegally. The study was conducted in Mount Ciremai National Park and Cibuntu Village, Pasawahan Subdistrict, Kuningan District, West Java which is a buffer village of the national park. This research was aimed to formulate a conservation strategy, so that conservation and preservation of the area can be done simultaneously. The method used in this research was vegetation analysis and purposive sampling interview to have full understanding of its bioecological and utilization rate. The results showed that Cuing condition in nature were threatened by competition with Ipomoea sp and succession that lead to climax, made it difficult to get sun to grow. Illegal harvesting was carried out by outsiders while people in the village only utilized plant which grew in their village. Based on interview, villagers only consumed Cuing during dry season and Ramadhan. The in-situ conservation synthesis that can be done were to improve land productivity and strengthen AMAR stimulus in villagers, while ex-situ conservation synthesis that can be done by conducting cultivation in the village.
Estimation of demographic parameters, spatial distribution of activity and its habitat types used of Javan Surili (Presbytis comata) in Sigedong Forest Block, Ciremai Mount National Park
Authors: Santosa Yanto , Rahmawati Catur , Yudea Utami Catharina 
Published: July 2020

Abstract
As one of the priority species for conservation in Indonesia, Javan surili is listed as an endangered species (IUCN redlist) and the population trend tends to decrease year by year. A conservation step need to be done and relevant data is needed to guide the management strategy and support its conservation. However the data and information about the population of Javan surili is still limited. The research objectives are to estimate the population of Java surili and identify their activity distribution related to the habitat types used in Sigedong Forest Block, Ciremai Mount National Park. Concentration count methods and camera trap were used to obtain the demographic parameters. Activities trace obtained by direct observation methods, by making line transects (±1km) and vegetation analysis. Chi-square method is used to determine the connectivity between the type of activity and the habitat types used. The result shows that there are nine group of Javan surili with a total 42 individuals. The value of sex ratio is 1:1.31, the birth rate is 0.238, and the mortality rate on teen-adult age class is 0,769. Activities of Javan surili that found during the observation are allelomimetic, ingestive, resting, and shelter seeking. Those activities scattered in lowland forest, sub mountains forest, and mountains forest. The distribution activities divided into four types of vegetation horticultural plantations, fields, forest and undergrowth. Furthermore, the result shows that there is a correlation between Javan surili activity distribution and its vegetation type, seen from the land cover types that used by this species, wherein the fields and undergrowth vegetation no individual was found.
Identification and pathogenicity of leaf blight pathogen on Maesopsis eminii Engl. in BPDAS Nursery Bogor
Authors: Firmansyah M A , Alfarisi M H 
Published: July 2020

AbstractMaesopsis eminii(Engl.) is a commercial wood that is classified as fast-growing multifunctional species. The disease will inhibit plant growth as well as decrease the quality of timber. This research was aimed to identify types of pathogens, disease incidence, and severity of leaf blight disease inMaesopsis eminiiseedlings. The methods were included field observations, isolation of symptomatic leaf blight, and subsequent test of Koch’s postulates. The isolates then observed both macroscopically and microscopically. The results of observations were indicated that the incidence of the disease was 99.44%, while the severity of the disease 8.85%. The isolation of symptomatic leaf blight was founded on eight kinds of isolate that have different colors. Then, the isolates were inoculated toMaesopsis eminii. Almost the entire of isolates can cause the symptoms of leaf blight. The result of Koch’s postulates was founded on two types of isolates that identically the same with the initial isolation. Finally, the pathogenicity test showed that isolates with 1.1 codes have the highest percentage value of disease incidence and severity than the other isolates. The identification results show that the isolate with 1.1 code is a type of fungus characterized by having sectional hyphae and contained conidia, which is included in theDeuteromycetesclass.
Insectivorous Birds in Edge and Interior Habitats of Forest Plantation in Gunung Walat, Sukabumi
Authors: Mulyani Y A , Haneda N F , Purnomo H , Kaban A 
Published: July 2020

Abstract
Among forest birds, insectivorous birds are known to be most affected by habitat fragmentation. This study aimed at examining insectivorous bird communities in edge and interior habitats of a forest plantation. Monthly observation was conducted from January to June 2010 in Gunung Walat Education Forest, Sukabumi, to record bird community using point count method with a fix radius of 30m for 15 minutes. Observation points were placed in each of edge and interior habitats of broadleaves Schima wallichii and conifer Agathis damara stands. Arthropod sampling was done twice using window traps and yellow panes. A total of 44 bird species of 19 families were identified in the study plots, in which 54% (24 species) were insectivores. A higher bird abundance and richness were recorded in edge habitat. A positive correlation was found between the total number of birds and total number of arthropods. However, the richness of insectivorous species tends to be lower in edge habitats. There were also differences in insectivorous bird community between types of stands, with broadleaves stand had a higher species richness compared to conifer.
Temporal effects of forest thinning on spring tails (Entomobryomorpha: Collembola) assemblages at pulai (Alstonia scholaris) forest plantation in Banten
Authors: Budiaman A , Haneda NF , Syaidah KH 
Published: July 2020

Abstract
Forest thinning affects the forest ecosystem, which changes abundance and diversity of insect species, including ground insects. This study aims to measure and analyze the effects of forest thinning on diversity of Entomobryomorpha at pulai (Alstonia scholaris) forest plantation. The study was carried out in thinning compartment of 15.30 ha. Eight circular sample plots with a radius of 17.8 m were placed systematically in the thinning compartment with a distance between plots of 45 m. A square subplot of 1m x 1m was placed in the center of each circular plotFive pitfall traps were installed in the subplot. Insects were harvested before forest thinning and 7 days after forest thinning. Mann Withney test was used to compare the abundance and composition of morphospecies of Entomobryomorpha before and after forest thinning. Pearson correlation test was used to measure the correlation between insect abundance and environmental factors. Forest thinning decreased the morphospecies composition of Entomobryomorpha and increased the abundance of Entomobryomorpha insects. The abundance of the Entomobryomorpha order correlated significantly with humidity, litter thickness, and canopy cover.
Incremental Spatio Temporal Clustering Application on Hotspot Data
Authors: Sitanggang I S , Radiatun N , Nur Risal A A 
Published: July 2020

Abstract
Hotspot is one of indications for forest and land fires. Analysis of hotspot data needs to be done as an early warning activity to prevent the occurrence of forest and land fires. The previous study analyzed hotspot clusters using the incremental spatio-temporal density-based clustering (ST-DBSCAN) algorithm. Hotspots in a cluster are considered as strong indicator for forest and land fires. However, clustering of hotspots is implemented on the command line interface. Through this interface, users are required to execute manually the commands to perform the clustering task on the dataset. The disadvantage of command line interface is that the commands have to be typed precisely and mistypes will cause errors.
Therefore, this study aims to build a web-based application for clustering hotspot data using the incremental ST-DBSCAN module. This study uses hotspot dataset in the period 2014 to 2017. The application was developed using R programming language and Shiny framework. The method of Adaptive Software Development (ASD) was adopted in this study. The main functions of the application are incremental clustering on hotspot data and visualization of clustering result. The testing using the black box approach show that all features of the application work properly. Based on the result of usability assessment, the user satisfaction level reach 78.45% meaning that the application is quite easy to be used.
Potency estimation of forest stands biomass in Gunung Walat Educational Forest, Sukabumi, West Java as fuel for electricity generation
Authors: Siregar U J , Damayanti A , Dwiyanti F G 
Published: July 2020

Abstract
The need for energy in Indonesia is increasingly growing into an inseparable part of the daily life of society. However, the limited availability of fossil fuel sources as raw materials for electricity and increased public awareness to preserve the environment lead to the need for an alternative source of renewable energy such as bioenergy, which is a renewable energy that utilizes biomass as its fuel source. Furthermore, this research was conducted to estimate the potential of biomass in Gunung Walat Education Forest (GWEF) as fuel for electricity generation. Estimation of the potential of electrical energy has been carried out by using the biomass conversion approach to wood pellets (WP). The results showed that Pinus merkusii stands have the highest biomass content (12,828.62 tons with a total area of 104 Ha) and Swietenia macrophylla stands have the lowest biomass content (16.63 tons with a total area of 0.67 Ha) compare to other stands. The total biomass obtained from 358.24 Ha of eleven stands was 45,041.38 tons and it can produce electricity of 123,863.79 MWh, suggesting that the biomass in GWEF has the potential to be developed to fulfill the electricity needs of 10.6 MWh per year.
Underwater surveillance of Romanian littoral areas using AUVs - Sea trials results
Authors: Damian R G 
Published: July 2020

Abstract
One of the many military as well as civilian potential applications regarding autonomous underwater vehicles (AUVs) is detection, localization, tracking and identification (DLTI) of risk factors in littoral areas. Using AUVs in underwater surveillance involves some specific capabilities like underwater data acquisitions, on-board data processing, underwater and surface communication, autonomy aspects and so on. In order for an AUV to be capable of conducting underwater environment surveillance (detection, monitoring) in littoral areas like harbors, coast objectives, ship anchorage areas, mandatory pass points and also to provide warnings about the presence of underwater and surface dangers in the interest areas, it must be first subject to sea trials. This paper presents the theoretical and experimental approaches and results for the surveillance of Romanian Littoral Areas using an AUV.
Description and modelling of robot-manipulator FANUC M-430iA/4FH
Authors: Nikolov E , Nikolova N G , Georgiev M 
Published: July 2020

Abstract
Summary: In this work, you can find the results from the description and modeling of the robotic manipulator FANUC M-430iA / 4FH. The basic values that determine the performance of the robot are tested and analyzed. An analytical model was developed on the basis of which it’s temporal and frequency characteristics are illustrated in the absence and availability of maximum mechanical load of the working spherical wrist
Distributed generation placement in distributive substations analysis using Markov Chain Monte Carlo model considering the reliability of power supply
Authors: Dimishkovska Natasha , Iliev Atanas 
Published: July 2020

Abstract
Proper operation of the power substations is of great importance for power network reliability, stability and uninterrupted power supply. Distributed generation provides higher reliability in power supply, but still, there are contingencies in the electric power production and supply process, which lead to outages in the power supply. In this paper, a method for substations’ reliability estimation with distributed generation is presented based on Markov Chain Monte Carlo method. The method considers the possible substation operation states and using random number generator in MATLAB, it simulates faults and calculates the substations’ reliability. The method is demonstrated on two cases of 110/35 kV substations, each consisting of two transformers and distributed generator, analysing the best placement for the distributed generation.
Study of the technical and economic efficiency and the possibilities for the construction of photovoltaic power plant above the roof structures of transformer power substations 20/0,4 kV and their service areas
Authors: Stefanov S B , Georgiev A P 
Published: July 2020

Abstract
This report examines the possibility of constructing photovoltaic systems above concrete complete transformer posts to the medium voltage distribution networks. It has been analysed what capacities could be built depending on the size of the concrete facilities and their service areas, and what would be their economic and electricity efficiency. The main results of the analyses made show that this idea is not devoid of economic and electricity logic.
Analysis of earth faults in a wind farm integrated into the electric power system
Authors: Hadzhiev Ivan , Malamov Dian , Georgiev Aleksandar 
Published: July 2020

Abstract
The aim of this paper is to investigate the processes of earth faults occurrence in a wind farm network, integrated into the electric power system. The wind power farm is realized with squirrel-cage induction generators (SCIG). Each generator has a 0.69/21kV step-up transformer. The connection of the wind power farm to the electric power system is implemented through a step-up substation with a single 21/115kV transformer. The star center of the transformer 21kV winding is grounded by means of a 40 ohm resistor. A synthesized in MatLab/Simulink computer model investigates the processes of earth faults occurrence in the medium-voltage (MV) network of the wind farm. Results have been obtained, concerning the influence of the earth fault location on the transient voltages and currents at both rated torque of the generators and no-operating generators. When there is an earth fault in one of the lines, the voltages and currents of the MV network are asymmetrical and higher harmonics of the currents and voltages are generated. A harmonic analysis of the current and voltage results has been made and the total harmonic distortion (THD) has been determined for several characteristic points of the wind farm network. The parameters of voltage contamination of the power system with higher harmonics in case of an earth fault occurrence in the wind power substation have been determined. It has been found that the earth faults in the MV network of the wind farm generate voltages and currents contamination of the power system with higher harmonics.
Glow-discharge plasma enhanced coating and functionalization of needle-punched nonwoven PET filter media for textile wastewater decolorization
Authors: Neznakomova M P , Gospodinova D N , Dineff P D 
Published: July 2020

Abstract
This study reports the use of glow-discharge plasma coated and functionalized PET needle-punched nonwovens as filter media for decolorization of textile dye-containing effluent. The investigation had been aimed at proving the possibility of GDP enhanced coating and functionalization (GDP processing) to produce better results for successfully replace such thermochemical finishing of PEI coat onto the primary PET fibers. The fiber surfaces functionalization with branched polymers such PEI has aroused much interest recently due to their unique properties as dye-immobilization absorber. For this study, the effect of processing time on the dye retention capacity of the functionalized PET nonwovens was investigated. Comparison was made between the most influential parameters of the basic, chemically and GDP processed PET nonwovens, such as: material thickness, air permeability, and puncture strength. The dye-retention capacity of the basic and functionalized nonwovens was determined by two synthetic water effluent – the anionic Orange G and the cationic Methylene Blue test-dyes have been used. The normal glow-discharge plasma processing in air as residual gas at 80 Pa provide the best possible anionic dye retention capacity. Based on this study, it was confirmed that this PEI coated and functionalized PET nonwoven could be used for the immobilization of anionic dyes from colored textile wastewater: the retention capacity from 4.16 to 5.57 mg/g with is comparable to the other available products used as adsorbent in dye-immobilization wastewater treatment.
Decrease of the portfolio computational workload following the Capital Asset Pricing theory
Authors: Stoilov T , Stoilova K , Vladimirov M 
Published: July 2020

Abstract
The paper derives an evaluation algorithm for decreasing the computational workload in definition and solution of portfolio optimization problem. The algorithm applies numerical relations, which lead to transformation of the classical portfolio problem to optimization one, which contains parameters from Capital Market Theory. The decrease of the computational workload results from the inclusion of beta coefficients in the portfolio problem instead of evaluation of the covariance portfolio matrix. The algorithm is illustrated by solution of portfolio problem with mutual funds on Bulgarian Stock Exchange.
Model of process and model of natural language processing system
Authors: Zhekova M , Totkov G 
Published: July 2020

Abstract
Natural language processing is the set of methods for making human language accessibility from computers. An approach that facilitates search in database even for casual non-technical literate users is to use a natural language interface (IEE) for databases. It is important for these IEEs to be intelligent and reliable enough to interpret the most complex sentences most intelligently and effectively enough to deliver results in the shortest possible time. The advantage of natural language interfaces is that they are accessible to a wide range of end users in order to “speak” to the database. Introduction. The solution to the problem of natural-language understanding can be accomplished in two steps: linguistic and database processing. In the first stage of language processing, the natural language query is linked and translated to the corresponding SQL query by appropriate production rules, methods and functions. In the second processing stage, the database is accessed and manipulated and the SQL query is executed by the system. The study presents a research in the field of computational linguistics on a theoretical process model and a natural language processing system model. The process model itself represents knowledge and reflects the conceptual organization of human memory, as well as its flexibility and clarity.
Hybrid deep-learning analysis for cyber anomaly detection
Authors: Kabaivanov Stanimir , Markovska Veneta 
Published: July 2020

Abstract
Cyber threats evolve continuously and so do the detection tools and algorithms. In this paper we analyse the efficiency of hybrid deep-learning analysis as a mean to detect anomalies in computer network traffic. Different deep-learning algorithms are tested against real network intrusion events in an attempt to assess their potential as an early warning system. We suggest a combination of algorithms and rule-based filters as a hybrid system that can improve efficiency and accuracy of cyber anomaly detection.
System for creation, support and tracking of interactive learning activities
Authors: Takev Martin , Somova Elena , Gaftandzhieva Silvia , Rodriguez Artacho Miguel 
Published: July 2020

Abstract
The paper presents a study in the field of m-learning with interactive learning content. The approach used is to integrate a system (plug-in), which converts learning activities into EPUB learning content, suitable for usage and tracking on any mobile device, with an existing e-learning environment, full with learning courses. Therefore, a plug-in for exporting learning content from the Learning Management System Moodle into an EPUB interactive book is developed. The plug-in can export the following Moodle resources and activities: labels, files, folders, URLs, pages, books, lessons and tests. The data about students’ learning activities is collected through xAPI statements, stored in a Learning Record Store. On the basis of the stored data, various types of reports are generated, which help teachers track students’ progress. The software is tested with real users and short statistics are derived from their opinions in six areas (practical applicability; design; accessibility; interactivity, support and feedback; communication and collaboration; understanding).
Dynamical stresses in the high class wind turbine blades caused in nonhomogeneous nonstationary wind field. Part 2 Numerical simulations
Authors: Kralov I , Genov J , Angelov I 
Published: July 2020

Abstract
In this second part of the publication, numerical results for a specific a wind turbine model of a high class – prototype NREL 5MW are presented. A wind speed model is described, taking into account the vertical speed gradient and longitudinal turbulence. Based on the proposed by the authors a modification of Blade Element Momentum theory, the aerodynamic forces, distributed along the length of turbine blades, are calculated as time functions. As a result of this, according to the results of the first part of the publication, the dynamical loads, stresses, and deformations in the blades are calculated.