bluuebunny/crossref_metadata_2025 huggingface dataset:
Digitization of Sustainable Smallholder Oil Palm Plantations Towards Modern Oil Palm Cooperatives
Authors: Hariyadi  , Purwanto M Y J , Falatehan A F , Sukoco H , Sembiring W K
Published: March 2021

Based on palm oil producers in Indonesia, private plantations are the largest national producers (54%), followed by smallholders (39%) and state-owned plantations (7%). In managing smallholder oil palm still have limited access to technology, production facilities, institutions, and marketing. With the system of digitizing sustainable smallholder, it is designed to transform the business processes carried out by oil palm farmers who join cooperatives into digital work patterns while still providing a permanent role and appreciation for their work from farmers and for farmers. The research was carried out in the KUD Tunas Muda, Teluk Merbau Village, Dayun District, Siak Regency, Riau Province, and was planned for three years. In the first year, the research objectives were to socialize the digital system; identification of smallholder oil palm plantation production factors; and record assistance in the implementation of input-output. The socialization activities showed that most farmers (80%) were very enthusiastic about this program. Farmers understand the factors that affect FFB production. Assistance in recording the implementation of inputs and outputs for smallholders is carried out to representatives of farmer groups using laptops or computers.
Physiological status naturally infected gastrointestinal goats in response to polyherbal supplementation and Melastoma malabathricum extract
Authors: Suteky T , Dwatmadji  , Sutrisno E
Published: March 2021

This study aimed to determine the effect of polyherbal supplementation andMelastoma malabathricumextract on the physiological status of naturally infected gastrointestinal parasite on Peranakan Etawa goats. Twenty goats were divided into five treatments, in which four treatments were infected animals and one treatment was used as an uninfected control animal. The five treatments were: T1= Non-polyherbal pellets + Ivermectin, T2=Andrographis paniculata+Curcuma mangga+Nigella sativa, T3=Andrographis paniculata+Curcuma domestica+Nigella sativa, T4=Curcuma mangga+Curcuma domestica+Nigella sativa, and T5= Uninfected control + Non-polyherbal pellets.Melastoma malabathricumextract was also given to T2, T3, and T4 to substitute Ivermectin. Parameters measured were rectal temperature, respiration rate, pulse rate, HTC, and THI. Results showed that there was no significant difference among the treatments on respiration rate, but highly significant (p<0.01) on rectal temperature and pulse rate. The pulse rate was significantly higher (p<0.05) in uninfected animals having THI value of 77-86 representing the hot condition for goats. Those goats could adopt its environment during the study as indicated by the HTC value of 2.15-2.28. Results also showed that HTC value was strongly correlated with the respiration rate (coefficient correlation 0.9987).
Land cover changes and spatial planning alignment in Ciamis Regency and its proliferated regions
Authors: Pravitasari A E , Yudja F P , Mulya S P , Stanny Y A
Published: March 2021

Ciamis Regency experienced regional proliferation and land cover change dynamics. Information on existing and predicted land cover is needed to ensure alignment with spatial planning (RTRW). This study aims to: (1) analyze land cover change in Ciamis and its proliferated regions (2000-2018); (2) examine land cover prediction in 2031; and (3) analyze the alignment between land cover (2018) and predicted land cover (2031) with RTRW. Spatial analysis and Land Change Modeler were employed using ArcGIS and Idrisi Selva software. The alignment between land cover and RTRW was identified by a logic matrix based on land rent in 2031 with RTRW of Ciamis Regency, Banjar City, and Pangandaran Regency. The results showed that dry land dominated the 173,949 ha land cover in 2000 and increased to 183,231 ha in 2018. During 2000-2018, there was a decreasing trend in rice fields. The predicted land cover (2031) based on BAU and RTRW scenario shows that rice fields tend to decrease, while the built-up area has a significant increase. The alignment of RTRW with land cover (2018) is 97%, whereas its alignment with predicted land cover (2031) is 96% (BAU) and 93% (RTRW). The results are beneficial for land management and controlling land conversion.
Energy Recovery and Waste Reduction Analysis of a Full-scale Anaerobic Digestion Food Waste Plant in Shandong
Authors: Li Wenqing , Liu Jun , Yang Junwei , Li Zhenmin , Zhang Junchu , Zhang Jishi , Zang Lihua
Published: March 2021

Methane (CH4) generation via anaerobic digestion is a promising technology for energy recovery and waste reduction. In this study, the techno-economic analysis of a CH4 production from food waste (FW) was carried out. An anaerobic digestion FW plant was capable of treating 100 t/d, which was authorized to operate for 17 years. The pretreatment and anaerobic digestion processes were used to produce CH4 and recovery crude oil. The total investment and annual operational costs of FW treatment plant were 42,786,030 and 2413380 RMB, respectively, while the annual pre-tax annual incomes was 6941293.6 RMB. The return on investment and payback period were 7.79% and 12.84 years, respectively. The daily treatment quantity of FW is 21t, the treatment plant starts to make profits. The assessment results indicated that FW treatment was a comprehensive engineering system, which was strongly associated with society, economy, environment and technology.
Analysis for the Hierarchical and Distributed Coordination Control Method of Integrated Energy Systems
Authors: Xu Wei , Zheng Tao , Teng Xianliang , Xiao Xubing , Cao Jing
Published: March 2021

Energy, as one of the important material foundations of economic development, has an immeasurable impact on the development of the national economy. However, it can be seen from the current situation of energy distribution in my country that there are problems such as unreasonable distribution and energy shortages. The above problems have severely restricted the development of my country’s economy. In view of this, it is necessary to analyze the integrated energy system and analyze the corresponding coordinated control method according to the advantages and disadvantages of the equipment.
Study on Gas Emission Characteristics in Lower Stress-relief Coal Seam for Improving Mining Safety of Extremely-close Upper Seam: Implementation of Coupled Permeability Model
Authors: Han Feilin , Zheng Chunshan , Xue Sheng , Jiang Bingyou , Han Baiqing
Published: March 2021

In two extremely close coal seams, when the upper coal seam being first mined, large amount of gas normally emits into the mining area from lower stress-relief seam. This is a significant safety issue which may lead to gas-related incidents. In this paper, a coupled permeability model was developed. Then COMSOL Multiphysics numerical simulation was conducted to study multi-factor coupling gas emission flow characteristics. Furthermore, effects of coal stress, gas pressure and initial coal permeability on gas pressure change in lower stress-relief coal seam was analysed. The numerical model established is based on a real case of Ji15 coal seam and Ji16-17 coal seam in Pingdingshan No. 8 coalmine, China. Results show that after upper seam (Ji15 coal seam) being mined, the closer to bottom of working face, the lower the gas pressure because of increasing gas emission performance. As the distance from floor of working face increases, gas pressure becomes closer to its original value. Meanwhile, due to gas emission, gas pressure drop in lower stress-relief coal seam (Ji16-17 coal seam) is symmetrical from the middle of mining face to two ends. Along the parallel direction of mining face, gas pressure curve is approximately in “W”-shape, with gas pressure at both ends tends to be original. From two working face ends to the middle, gas pressure first decreases before increasing, with a maximum decrease of 9.36%. Furthermore, coal stress, gas pressure and initial coal permeability are all positively correlated with gas pressure decrease. Significance of initial coal permeability’s effect is higher than the other two factors. Above results could provide references on drainage borehole design for related scholars and on-site engineers, which is of significance for improving mining safety.
Study on the Wet Oxidation of a Kind of Pharmaceutical Wastewater with Hydrogen Peroxide
Authors: Gan Xiaoming
Published: March 2021

The wet oxidation of a kind of pharmaceutical wastewater with hydrogen peroxide, i.e. H2O2, was studied in this paper. In this study, H2O2 was utilized as an oxidant. The effects of reaction conditions were investigated, including theinitial concentration of the pharmaceutical, the reaction temperature and reaction time, and the additional amount of H2O2. The highest Chemical Oxygen Demand (COD) removal rate among the performed experiments in this study, approximately 89.6%, was obtainedat 240 °C for 60 min with the additional amount of H2O2solution 2 mL. These results illustrated that the wet oxidation process using hydrogen peroxide as an oxidant was effectively for the degradation ofthis kind of pharmaceutical wastewater.
The Effect of Extracellular Polyphosphate in the Process of Enhanced Biological Phosphorus Removal (EBPR): from the Perspective of Transformations of Extracellular Polyphosphate and Intracellular Energy-storing Substances
Authors: Tang Ran , Long Xiangyu , Tao Guangjian , Wang Tao , Wang Jiayue , Xiao Xiao , Zhou Haiwei
Published: March 2021

The distributions and cycle changes of orthophosphate (ortho-P), polyphosphate (poly-P), glycogen and polyhydroxyalkanoates (PHAs) in the 2 reactors fed with acetate at 20°C or 35°C were investigated to understand the effect of extracellular polyphosphate (poly-P) in enhanced biological phosphorus removal (EBPR) process. The specific anaerobic-uptake acetate rate in the 20°C EBPR reactor was about 2.24 times that in the 35°C non-EBPR reactor. The anaerobic-hydrolysis and the aerobic-synthesis amounts of intracellular glycogen in the former were only half those in the latter, with the comparable corresponding-transformation amounts of intracellular PHAs between the 2 reactors. The anaerobic-hydrolysis / aerobic-synthesis of extracellular poly-P and the anaerobic-release / aerobic-uptake of intracellular ortho-P occurred in the 20°C EBPR sludge, corresponding to the lower transformation level of intracellular glycogen and the higher anaerobic-uptake rate of acetate. A hypothesis that the anaerobic-hydrolysis of extracellular poly-P could accelerate the acetate migration though anion-exchange was proposed. In addition, phosphorus accumulating organisms (PAOs) was the microbial population basis for the existence and transformation of extracellular poly-P.
Effect of Injection Pressure on CO2 Huff-n-Puff in Low-Permeability Sandstone Cores Using Nuclear Magnetic Resonance
Authors: Wang Deyu , Ju Yingjun , Feng Songlin , Chen Shidong , Wei Wen , Ma Jingyang , Zhang Tong , Zhao Jinsheng
Published: March 2021

In order to figure out the micro-scale recovery degree of different pore sizes, the T2 spectrum of low-permeability sandstone cores before and after CO2 huff-n-puff is obtained using NMR technique. The results show that the micro-scale recovery degree increases with increase of pore sizes. Oil in macropores and medium pores is more easily produced, and Oil in micropores is difficult to recover at 7-12MPa. The total recovery degree of three cores increases with the increase of injection pressure. This study is expected to be significant for understanding the mechanisms of CO2 huff-n-puff for enhancing oil recovery in low-permeability sandstone reservoirs.
A Case Study on Urban Ventilation Assessment with Local Climate Zone (LCZ) Parameters
Authors: Zhang Yunwei , Zhang Xiaoqian , Xu Wen , Jiao Binbin
Published: March 2021

The local climate zone (LCZ) partitions are widely used in urban climate investigations. Parameters characterizing LCZ types could be used in investigations about urban heat island (UHI) intensity and air ventilation modelling and assessment. In the current work, modelling methods of UHI intensity and wind environment are investigated based on the LCZ parameters. A drag source term with a porous media model of the urban canopy layer was proposed to simulate the urban scale wind environment with the CFD method. Vertical and horizontal airflow in the urban canopy layer was analysed. The upward and downward wind was found in the urban canopy model influenced by the variations of building height and density. On the other hand, the heat balance models could also be conducted on LCZ. Results showed the potential capabilities in urban wind assessment. A summary of models and the requirement on LCZ parameters were proposed.
Gaussian Mixture Model Based Soil Classification Using Multiple Cone Penetration Tests
Authors: Bouayad Djamila , Baroth Julien , Dano Christophe
Published: March 2021

This study presents an application of the Gaussian mixture (GM) method for soil classification using multiple cone penetration tests (CPT). Compared to the hard clustering methods, the GM model classifies the CPT data by representing the probability density function of observed variables as a mixture of multivariate normal distributions. A GM model based expectation maximization (EM) algorithm with Bayesian information criterion (BIC) for selecting the optimal number of clusters is developed using six real CPT data performed at Dunkerque site in the north of France. The classification results are compared with the classical CPT based interpretation using the non normalized soil behavior type (SBT) index together with the Robertson chart. The results show that the GM model is able to identify accurately the soil layers. In addition, the combination of all CPTs, rather than considering them separately, may improve the soil layers identification because all the site information is considered.
Research on Transmission Line Icing Tower Broken Fault Probability Calculation Model
Authors: Guo Jun , Jian Zhou , Feng Tao , Cai Zelin , Xu Xunjian
Published: March 2021

Icing in winter is an important disaster that affects the normal operation of transmission lines. Among them, icing is easy to lead to tower collapse and disconnection. Due to long recovery time, great economic loss and social impact, it poses an important threat to the stable operation and reliable power supply of power grid. At present, the research on ice covered tower breaking fault of transmission lines mainly focuses on the finite element simulation analysis and calculation or exponential function fitting calculation. Due to the complexity of the mechanism of transmission line icing tower breakage, the current physical mechanism research conclusion cannot explain the occurrence of icing tower breakage. The existing analysis methods cannot accurately describe the characteristics of transmission line icing tower broken fault probability. Therefore, this paper proposes a probability calculation model based on probability distribution statistics, which can quantitatively calculate the failure probability of transmission line icing tower breakage. It has important theoretical significance and practical application value to provide scientific basis for transmission line to deal with icing disaster in advance.
Step Coordination Control Strategy Based on WAMS for AC/DC Hybrid System
Authors: Kong Xiangyu , Wang Ning , Guo Qi , Zhu Yihua
Published: March 2021

The power system’s stability is judged through the processing and analysis of wide-area information, and matching and executing the corresponding control measures based on data can be used as an effective backup and supplement to the security and stability control devices. This paper proposes an online additional emergency control strategy based on energy function for the situation that the security and stability control strategy formulated offline may have mode mismatch. This strategy relies on the energy function index that describes the unstable situation of the power system. Based on the real-time data from SCADA and PMU, it combines the energy function method and the trajectory prediction to achieve the function of additional control of the power grid in an emergency. The cases are analyzed to verify the effectiveness of the proposed method. The simulation results demonstrate that the step coordination control strategy could be realized, and the practicality is improved.
Analysis of Flexibility Demand with Regional Power Grid
Authors: Tang Ningning , Niu Yuguang , Zhang Guangming , Wang Kun
Published: March 2021

Improving the flexibility of regional power grid is an important means to solve the problem of energy abandonment. Quantitative calculation of flexibility demand is the premise of unit transformation and optimal allocation of flexible resources. This study analyzed the definition of flexibility demand, and established the model of flexibility demand. In this paper, random variables are introduced to describe the flexibility demand, and the sequence operation theory is used to solve the model. A case study is given to verify the proposed method. The results prove that the proposed method can calculate the probability distribution of flexibility demand in the planning year without detail information of units. It can provide a reference for the capacity transformation of units and the optimal allocation of flexible resources.
Study on Risk Analysis and Structural Safety Performance of Material Ropeway Construction of Transmission Line
Authors: Liu Zhongshu , Chen Libin , Qin Jian , Liu Chen , Xue Qiannan , Peng Fei
Published: March 2021

Material ropeway transport runs through the whole construction process of transmission line. It is operated frequently with long working period and its structural components are easy to produce fatigue, wear, deformation and other defects. The result is to form safety risks and cause personal and property losses, which is the focus of construction safety. This paper first summarizes the common construction safety risk factors of material ropeway and analyzes the causes of the risk points. Then, safety assessment method of material ropeway of transmission line is proposed. The method considers with the coupling dynamic factor of working ropes and running car and the states of carrying rope, pulling rope, trestle, saddle, anchor underground, etc. is analysed in whole process of transportation. The safety evaluation method is suitable for different topographic conditions and structural types of material ropeway, which provides technical means for the construction check and evaluation of material ropeway.
A Multi-dimensional Analysis Method for the Tripping Risk of Lightning Winding Across the Transmission Line
Authors: Liu Jun , Li Wenhui , Pan Jianguo , He Yuqin , Tang Yiqin , Zeng Chengshi , Tang Jiajie
Published: March 2021

Trip to cope with the lightning strike caused around power grid, this paper proposed a transmission line based on the mechanism of lightning strike around all lightning strike tripping around risk analysis method. This method needed to detour lightning tripping thunderstorms and risk analysis of transmission lines tower size, proportion of topography, altitude, insulation configuration data were collected, calculated in turn hit distance, distance and exposure correction of line pressure level and single-base tower above factors lightning strike risk. Based on the calculation model, the lightning wind characteristics under different tower shout height, lightning day and terrain were studied to identify the weak links along the line. Select the composition condition calculation of typical tower lightning strike tripping around risk, based on the same area across the terrain and tower usage of extract weight coefficient calculation all lightning strike tripping around risk, through the typical combination of the weighted average of all lightning strike tripping around risk was analyzed. Through the example analysis, verified the feasibility of this method to improve the reliability of transmission lines.
Modelling and Experimental Study on Electrically Heating Garment to Enhance Personal Thermal Comfort
Authors: Huang Qingjun , Xing Guanying , Yang Fan , Shu Weicheng , Ma Jinlong , Luo Xiaobing
Published: March 2021

Electrically heating garment (EHG) is an effective protection for human in cold environment. In this study, we analysed the principal agents of heat transfer in EHG, and established a theoretical model including heat conduction, natural convection and radiation. To verify the model, the numerical simulations and experiments were compared, and showed a temperature discrepancy smaller than 0.3°C, which was acceptable in engineering design. Using numerical simulation, it is convenient to optimize the design parameters of EHG in different thermal conditions. For instance, to maintain the average temperature of skin within 32-34°C when people are in low metabolic activities, the power of heating elements should range from 73.1-110.7 W/m2under high heating gear or 10.8-48.5 W/m2under low heating gear. The more importance is that the calculation allows easy predesign of EHG. The effect of the arrangements of heating elements was studied, herein, the results of six arrangement patterns were presented. It is found that the most effective arrangement can raise the average temperature of skin under heating elements about 0.4-1.2°C than other cases.
A Novel Transmission Line Fault Location Method Based on Time Frequency Correlation
Authors: Sun Yi , Sun Jie , Quan Xiaofeng , Liu Yang , Ji Fangming , Guo Ningming
Published: March 2021

The fault location method based on the transient traveling wave has been widely used in power grid. The location accuracy and reliability of traveling wave fault location may get affected by some factors including: length error of transmission line, timing error, secondary signal cable in substation. The paper proposes a novel fault location method based on the time-frequency correlation of the fault data collected from two ends of transmission line. It takes advantage of the symmetry and similarity of reflected waves at both ends while the resonance and the reflected waves of adjacent lines are not correlated with each other. Through time-frequency correlation analysis at both ends, the influence of interference and resonance is suppressed, reliability of reflected wave identification and fault location, as well as accuracy of fault location are improved. Effectiveness of the method is verified by simulation and field data.
Numerical Study on the Bearing Properties of Multi-airbag Inflatable Bolt in Soft Soil
Authors: Peng Wenxiang , Wang Mingming , Chen Yifan , Chen Zhenghao , Hu Hesong , Lin Hang
Published: March 2021

In response to the limited execution space underground in soft soil area, and the disadvantages of weak bearing capacity, overlength anchorage body, non-recyclability, and low economic benefits of the conventional bolt, the related numerical simulation research was carried out on the multi-airbag inflatable bolt in this paper. Primarily, the research history of the multi-airbag inflatable bolt was briefly introduced, and the problems of this bolt existing in the current engineering application were analyzed. Subsequently, based on the numerical software MIDAS/GTS, the pull-out tests of the multi-airbag inflatable bolt in soft soil were simulated. By means of successively changing the airbag diameter, airbag length, airbag interval, airbag burial depth and airbag number, the corresponding bearing properties of the bolt were obtained, and the bearing capacity and ultimate displacement of bolt with different airbag parameters combinations were determined, which provides certain guidance for further field tests and verifies its applicability and social value in underground project in soft soil area.
Sequential Fault Detection and Classification in Chemical Process Using a Deep Convolutional Encoder-Decoder Architecture Based on System Dynamics
Authors: Wang Qiao , Luo Lin
Published: March 2021

In this paper, we propose a high-level spatiotemporal feature extraction based on deep convolutional bidirectional encoder-decoder representation network with gated recurrent unit (GRU) cell for dynamic fault diagnosis. Although traditional recurrent neural networks (RNNs) have a major issue with extracting the spatial dependencies, temporal convolutional operation is designed to extract the local features which provide insight into different types of faults. The system dynamics are further extracted with the context by the bidirectional encoder-decoder network, which distils the representations from future time steps. Moreover, GRU cell in both encoder and decoder deploys a more compact structure than a usual RNNs network due to the reduction of gates. The resulting deep network is not only generalizing the importance of temporal feature, but it also allows the interpretable feature representation and classification simultaneously. Detailed comparative case study on the benchmark Tennessee Eastman process demonstrates that the proposed method is competitive with the classical long-short term memory (LSTM) network for the fault detection and diagnosis.
Problems of People’s Evacuation Modelling
Authors: Parfyonenko A , Kurbatova J
Published: March 2021

In the field of the study of the human flows traffic, there are programs appear whose developers don’t have the knowledge required about fire safety and the parameters of the human flows traffic. Algorithms embedded in software and computer systems give inadequate results, which reduces the indicator of people’s safety in buildings and structures. This work describes the features of using individual-flow evacuation modeling of people in buildings and structures when changing the width of the aperture of door. The main parameters of the human flow, characteristic of individual-flow modeling, are also considered. The survey of software and computer systems used in risks estimation of buildings and structures. The results of people’s evacuation modeling in software and computer systems are analyzed. An assessment of the correctness of the results was made, a conclusion was drawn on the adequacy and possibility of using these software and computer systems in calculating the time of evacuation of people in buildings and structures.
Digital Model of an Existing Building a Wild Riverbed in Tokyo
Authors: Dedic Martin
Published: March 2021

This paper presents an application of photogrammetric methods for so-called image based modelling and rendering. Digital photogrammetry technology was used for the real use of a digital model of an artificial riverbed for a wild river in Tokyo. This technology was applied using two software programs, where we evaluate their compatibility and propose measures that should increase efficiency in the future in the creation of digital models of existing buildings. We describe the process of creating a model in both software separately and evaluate their use for a given type of object. In this paper, we describe the individual processes from the selection of photographs through the cleaning and smoothing of the point cloud to the final model. We present the practical use of the created digital model. In the pictures we show the solved structure, the process of joining individual photographs and the final model for the overall idea of the application of this method. The results and discussions section describes the evaluation of both software and proposals for measures for their use, especially for water structures of a linear nature containing recurring elements such as water barriers.
Graph Extraction of Batik Image Using Region Adjacency Graph Representation
Authors: Akmal  , Munir R , Santoso J
Published: March 2021

Image feature extraction done in image analysis based on the traditional pixel is not extracted effectively. This is due to the extraction that only represents the content. A very promising approach and the challenge are to extract a graph from an image that represents the content and their relationship. The results of graph extraction are obtained from the process of image segmentation. The selection of an appropriate segmentation method from many graph-based image segmentation methods is interesting to be reviewed. The method of super-pixel segmentation is one way to divide the image into regions. The regions obtained in segmentation are represented by vertices and edges represent connections between adjacent regions. This representation is called Region Adjacency Graph (RAG). In this paper, graph extraction of “batik” images has been successfully performed where its representation uses RAG and segmentation uses the Minimum Spanning Tree method. The results of graph extraction have been tested in a simple image retrieval process using the VF2 graph matching method.
Comparison of K-Medoids and Self Organizing Maps Algorithm in Grouping Hydrometeorological Natural Disasters in Java Island
Authors: Asriny Novendri Isra , Ramadhanty Desy Rizki , Izzati Muthia Dishanur , Putra Matiin Laugiwa Prawira , Shofura Annisa , Albi Chairani Uli , Widodo Edy
Published: March 2021

Indonesia is a country that is prone to disasters. Based on data from the National Disaster Management Authority, there are 6868 disasters in the last 3 years. Changes in weather, temperature, and wind direction that are quite extreme in Indonesia lead to one of the disasters namely hydrometeorological disasters such as floods, landslides, tornadoes, forest fires, and drought. According to the National Coordinating Agency for Disaster Management, this type of disaster is quite common in Indonesia. Over the past 3 years, Java Island received the highest number of disasters. The National Disaster Management Authority states that tornadoes contribute 21% of all disasters in Indonesia. Therefore, the researcher wants to grouping the cases of hydrometeorological natural disaster in Indonesia, especially in Java. This research is to determine the areas that are the focus of the government in disaster mitigation efforts using K-Medoids Clustering and Self Organizing Maps. Based on the results of this study, it was found that the suitable method used was the Self Organizing Maps Method because it was seen based on a smaller standard deviation value. Cluster one there are 108 members who are groups with relatively low disaster vulnerability, while cluster two there are 10 members are city and district groups that have relatively high disaster vulnerability.
Case-based Mobile Tourism Attractions Recommender System
Authors: Rani Septia , Arifin Dimastyo Muhaimin , Huda Sheila Nurul , Fudholi Dhomas Hatta
Published: March 2021

The variations and the increasing number of tourism attractions give tourists more choices to enrich their travel experience. However, it also presents drawbacks, including confusing tourists when planning a trip, because they have to choose from many tourist attractions options that match their preferences. In this study, we propose an algorithm that can generate recommendations of tourist attractions to the user using a case-based reasoning approach. Case-based recommendation is chosen because it gives the user a more personalized recommendation that they can customize later on within the application. Besides, the implementation of this approach in the tourism domain is still hard to find. As many as 217 tourist attraction objects in Yogyakarta city are gathered as the case study. We label each object with three attributes, namely category, visitor type, and activities. A similarity function called the simple matching coefficient is used to calculate the item’s score based on the user specification. For assessing the proposed algorithm, we implement the model as an Android application. To evaluate the recommendation result, we use mean absolute error calculation (MAE) and mean absolute percentage error (MAPE), resulting in 4.1 MAE and 5% MAPE, which is considered highly accurate. Thus, the recommendation from the system is well suited to the user’s preference.
Clustering with Principal Component Analysis and Fuzzy Subtractive Clustering Using Membership Function Exponential and Hamming Distance
Authors: Haryati Annisa Eka , Sugiyarto
Published: March 2021

The problem of dimension reduction in multivariate data is how to obtain a smaller number of variables but still be able to maintain most of the information contained in the data. One method that can be used is principal component analysis (PCA). Principal component analysis (PCA) is a technique used to reduce the dimensions of data consisting of several dependent variables while maintaining the variance in the data. PCA can be used to stabilize measurements in statistical analysis, one of which is cluster analysis. Fuzzy clustering is a method of grouping based on membership values that include fuzzy sets as a basis for weighting for grouping. One method of fuzzy clustering is Fuzzy Subtractive Clustering (FSC). The method used in this study is PCA and FSC. The purpose of this study is to compare the most optimal cluster results using PCAFSC and FSC methods. The results obtained indicate that the clustering using the PCAFSC method is better than the FSC method.
Comparison between Butterworth Bandpass and Stationary Wavelet Transform Filter for Electroencephalography Signal
Authors: Kang Xiaoxi , Handayani Dini Oktarina Dwi , Yaacob Hamwira
Published: March 2021

The Electroencephalography (EEG) signals able to obtain the information from the brain signals. Reduce the noise of the raw EEG data can improve the accuracy of the result. The pre-processing step of the raw EEG data can generate a clean signal and improve the accuracy. The purpose of this paper is to compare the Butterworth bandpass (BB) and stationary wavelet transform (SWT) method for the pornography addiction EEG data. The data was collected from Yayasan Kita dan Buah Hati (YKBH), Jakarta, Indonesia, using the Brain Maker EEG machine with 19 channels. We used mean square error (MSE) and peak-to-noise ratio (PSNR) to compare the quantitative value for the filtered EEG signals. The result shows that the BB filter is more effective in removing the noise and keep the original information.
Handwritten Text Recognition using Fully Convolutional Network
Authors: Nirmalasari Dewi Ayu , Suciati Nanik , Navastara Dini Adni
Published: March 2021

Handwritten text recognition from images is challenging because there are many variations in handwriting as each person has a different writing style. This research implements multilevel recognition to solve this problem. In the first level, a Lexicon Convolutional Neural Network (CNN) model is used to recognize words (containing a set of word) that often appear in the text. If a word is not recognized by the Lexicon CNN model, which is designed for a limited number of words, then it goes to the next level. A character sequence recognition consisting of predicting the number of characters using CNN, cropping each character using a sliding window, and character recognition using Fully Convolutional Network (FCN), is applied at the second level. Experiments show that the system performance is promising. The experiment conducted using NIST Special Database 19 as a training dataset and a handwritten text on screen as a testing dataset. The best accuracy of word recognition, character number prediction, and character recognition is 99.98%, 98.56%, and 83.52%, respectively.
Developing a Framework on Predicting Evacuee Needs for Disaster Risk Reduction Management in the Province of Albay
Authors: Monreal R N , Palaoag T D
Published: March 2021

An evacuee needs allocation framework wants to ease the predicting process on disaster preparedness in the province of Albay. The evacuee needs allocation framework will help the provincial government to identify and solve the problem of the current and manual process of the disaster management system in preparation down to the allocation of evacuee needs. An evacuation centre is a place that the Provincial Government provides basic human needs including food, water as well as accommodation during or before the disasters to the affected people. Detailed assessment was conducted by authorized personnel in the government organization to look at how to improve the chances of disaster victims with their stay in an evacuation centre. In this paper, the study aims to develop a framework that predicts the evacuee needs preparedness as well as the allocation needs on before and during the calamity to help and enhance the current process in the province of Albay. The researcher includes information technology tools such as RFID and GPS to the framework to enhance the efficiency and accuracy in the implementation of the needs allocation during the calamity in the evacuation centres. The paper will lead the provincial government of Albay in predicting the evacuee needs to insure a sufficient and avoid the shortage and excess of goods from the preparation down to the allocation in the evacuation centres and to help the Provincial Disaster Risk Reduction Management Council in allocating and monitoring of budgets for transparency purposes.
Developing Facebook Chatbot Based on Deep Learning Using RASA Framework for University Enquiries
Authors: Windiatmoko Yurio , Rahmadi Ridho , Hidayatullah Ahmad Fathan
Published: March 2021

Smart systems for universities powered by artificial intelligence have been massively developed to help humans in various tasks. The chatbot concept is not something new in today’s society which is developing with recent technology. College students or candidates of college students often need actual information like asking for something to customer service, especially during this pandemic, when it is difficult to have an immediate face-to-face meeting. Chatbots are functionally helping in several things such as curriculum information, admission for new students, schedule info for any lecture courses, students grade information, and some adding features for Muslim worships schedule, also weather forecast information. This Chatbot is developed by deep learning models, which was adopted by an artificial intelligence model that replicates human intelligence with some specific training schemes. This kind of deep learning is based on RNN which has some specific memory savings scheme for the deep learning model, specifically this chatbot using LSTM which already integrates by RASA framework. LSTM is also known as Long Short Term Memory which efficiently saves some required memory but will remove some memory that is not needed. This Chatbot uses the Facebook platform because the Facebook users have already reached up to 60.8% of its entire population in Indonesia.
Towards Development of a Web-Based System for Analyzing Marine Ecological Carrying Capacity (MECC) for Managing Marine Resources in The Outer Island of Indonesia (Case Study: Nunukan Regency)
Authors: Susandi A , Wijaya A , Kuntoro W S , Faisal I , Pratama A Y , Nurdin I , Kertabudi F G
Published: March 2021

Research on the development of data integration system design and web-based system in the calculation of Marine Ecological Carrying Capacity (MECC) for managing marine and coastal resource management has been carried out. In this study, Nunukan Regency, North Kalimantan was chosen as the study area. The process of integrating data in managing marine and coastal resources in a sustainable manner using the carrying capacity concept approach is carried out by designing an information system development system in processing and displaying the results of MECC calculations. This can make it easier for decision makers to develop the utilization of blue economic potential in accordance with geographic conditions as well as efforts that can be made to increase the productivity of the blue economy in Nunukan Regency, North Kalimantan.
Complex power control system for the installation of transverse capacitive compensation in the system with distributed load
Authors: German L A , Serebryakov A S , Osokin V L , Dulepov D E
Published: March 2021

The operation of transverse capacitive compensation installations (CI) when they are switched on away from the power source (for example, at partitioning posts in the traction network or in general-purpose networks, for example, at branch points from main networks) under distributed load has a number of features. These features are considered on the example of an electrified railway section. In particular, the problem of controlling the power of the CI at medium and maximum loads is analyzed. Power control schemes of the CI have been known for a long time, usually regulation is performed to minimize power losses in the supply network, to reduce the maximum reactive power of the consumer, to stabilize the voltage mode in the power system node, etc. For electrified sections, regulation is typical to reduce power losses in the traction network or to stabilize the voltage at the AC traction network partitioning post. However, with the growth of heavy traffic on the railways, the requirements for increasing the capacity of railway sections while reducing electricity losses in the traction network have increased, that is, there are requirements for an integrated control system for CI. The complexity of solving this problem is determined by the fact that the CI is located at the partitioning post. The article offers an algorithm for solving this problem using the harmonics of the electric rolling stock current.
Non-stationary modes of electric networks
Authors: Andrianov D P , Badalyan N P , Kolesnik G P
Published: March 2021

Ensuring energy efficiency and solving problems of energy saving of power supply systems is impossible without forecasting the state of energy sources and elements of the electric network. Distribution networks consist of a set of elements whose parameters follow stochastic regularities and collectively organize a nonlinear dynamic system with parameters that depend on and do not depend on the mode. Description of networks requires the involvement of higher mathematics in conjunction with modern hardware and software of computer technology. The article is devoted to modeling of non-stationary modes of operation of multi-node electric networks with a large number of degrees of freedom and a high order of differential equations describing the processes under study in the model under consideration. The influence of such factors on transients as abrupt changes in the load of consumers, disconnection-connection of one of the voltage sources, short circuits on the consumer side, stability of the oscillatory process is considered. On the example of a 6-node circuit with 3 alternating voltage sources and 6 consumers, the nature of changes in the generated electrical power of the sources is analyzed. The system of differential equations corresponding to the scheme under study is solved by numerical methods. The proposed approach allows us to evaluate the efficiency of the power supply network while maintaining the mode parameters and predict the possibility of undesirable overloads during short circuits and conditions for exceeding variables that determine the practical stability of the system.
Analysis of the possibility of landfill gas use as additional fuel for combustion of solid municipal waste with different moisture content
Authors: Kornilova N V , Trubaev P A
Published: March 2021

The paper suggested the calculation method of combustion for solid and gaseous fuel cofiring. The calculation is suggested to carry out for per unit of generated during combustion total capacity instead of per unit of weight or volume of fuel. This method was tested during combustion parameters examination at cofiring of solid municipal waste, which is the main fuel, and landfill gas (biogas) which is the additional fuel for thermal mode stabilization. The calculation has been conducted for waste with the moisture content of 50%, 30% и 10%, which are solid fuel, methane, as a reference fuel, common biogas with a methane content of 60%, and biogas with a low methane content of 35%. It was established that additional input of biogas is effective for the combustion of unprepared waste with high moisture content, moreover, it is possible to use common biogas as well as biogas with low methane content. The required combustion product temperature (900-1000°C) for unprepared waste can be achieved at the excess air coefficient of 116 or more. In summary, solid fuel and biogas cofiring allows operative control of the combustion process and sustain combustion product temperature and heat output of units at a constant level. The combustion process regulation should be based on the given temperature of combustion products by changing two parameters: landfill gas flow rate and flow rate of air supplied for combustion.
Mathematical model for determining the optimal location of the biomethane plant
Authors: Suslov D Y , Temnikov D O
Published: March 2021

The work is devoted to the actual problem of using an alternative energy source - biomethane in gas supply systems. When developing and designing gas supply systems using biomethane, an important task is to determine the optimal location for biomethane plants. For the research, the methods of graphs and parametric optimization were used from the condition of minimizing the total transport costs. A mathematical model has been developed to determine the coordinates of the location of the biomethane plant depending on the production capacity and location of agricultural enterprises. Using the developed model, the location of a bio-methane plant with a total volume of digesters of 5000 m3, located in the Veidelevsky district of the Belgorod region, was determined. This unit can process 315.9 t / day of organic waste and produce 504.64 m3 / h of biomethane with a methane content of more than 98%. As a result of the calculations, the coordinates of the location of the biomethane plant were determined (X = 11.82; Y = 22.35), and the location of the biomethane plant was adjusted, taking into account the relief conditions of the terrain and the presence of a road transport system.
Prospect of development wind power plant taking into account the visual range of wind turbines location and determining the efficiency of the wind flow transition at rotors of veritical axis wind turbines.
Authors: Sokolov V Y , Kolesnikova I V
Published: March 2021

Proposed method of calculating structural elements of blades of wind machines is not connected with intuitive selection of approximating functions of rigidity of structural elements. Application of the proposed design method showed necessity to introduce not only transverse reinforcing elements into the blade of the windwheel, but also longitudinal ones, which will allow to increase the generated electric energy from the small area of wind power plants location. The advantage of the proposed method for calculating the structural elements of wind machine blades is that it is not associated with an intuitive selection of approximating functions. The use of the calculation method showed the need to introduce not only transverse reinforcing elements, but also longitudinal ones into the wind wheel blade. We recommend that these elements be made in the form of a longitudinal corrugation laid between the transverse elements of the blade. The rigidity of these ribs will allow you to obtain a constant flow passing through the paddle wheel. The research conducted is not sufficient to determine the limits of the ratio of potential to electricity generation that can be achieved in practice at real wind farms. This value will depend on the stability of local air flows in the surface layer, spatial density, altitude, and the actual resistance of wind turbines. Further study of the interaction of these parameters is necessary, which is the focus of our current and future research.