bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of Intelligent Shoes Based on Multi-sensor
Authors: Wang Hao , Song Yawei 
Published: May 2021

Abstract
To collect and analyze movement data of human foot, an intelligent shoe system was developed to collect foot pressure, foot acceleration and angular velocity data. Intelligent shoes include pressure insole module, wireless transmission module and sports data receiving software in addition to the shoe body. The foot movement data is collected by the intelligent shoes, which is sent to the receiving software through Bluetooth, and displayed and stored. Three basic movement behaviors including sitting, standing and walking were identified through the multilayer long short-term memory (LSTM) network, and the accuracy of motion behavior recognition model based on LSTM and the validity of motion data collected by intelligent shoes were verified. The intelligent shoes can be used in the study of human motion behavior recognition.
An Intelligent Point-of-sale System for Mobile Retailors
Authors: Tsai Wen-Lung 
Published: May 2021

Abstract
In a fiercely competitive retail market, the biggest competitive advantage of the physical channel over the virtual channels is the product experience and service. Increasing the professionalism of the salespeople and improving service should be prioritized in physical retail. I use the AIDA model to construct a consumers’ purchase guiding system named “intelligent point-of-sale” (iPOS) that integrates the sales recommendation rule model. Through the app, consumers and salespeople interact with each other and the model recommends appropriate product combinations to the consumers. The system assists salespeople to guide consumers towards a purchase to improve transaction conclusion rate and company profitability.
Intelligent Library Architecture Based on Edge Computing
Authors: Li Min , Zhang Yumeng , Li Gang , Zhou Mingle 
Published: May 2021

Abstract
The development of the Internet of Things promotes the integration of physical space and information space. In addition, more and more people, machines and things are connected to the information space. The centralized cloud computing model has been gradually hard to accommodate the resulting massive data treating requirements. However, the emerging edge computing provides a new technical means to solve this problem. By comparing and analyzing the basic framework and features of edge computing and cloud computing, taking the typical case of Intelligent Library as an example, this paper constructs an Intelligent library system architecture based on edge computing. It analyzes the functions of each level of the architecture. The architecture can reduce the minimum delay and network bandwidth pressure of Library intelligent service, thus saving the data processing cost of Intelligent Library.
Data Processing and Research on Priority Strategy of Overhaul without Power Interruption Based on User Outage Loss Assessment
Authors: Huang Zhanhua , Yao Kang , Zhang Wei , He Kangfeng 
Published: May 2021

Abstract
At present, overhaul without interruption is widely used at home and abroad to improve power supply reliability, reducing power outage time and improving labour efficiency. How to determine the priority of overhaul without power interruption in the case of limited resources is the key problem faced by the explosive growth of the number of overhaul without power interruption. In this paper, based on the construction of the user outage loss model, using the method of questionnaire survey, for different types of users to carry out research, using Tobit model truncation idea, pre-processing, and then from the qualitative analysis and quantitative calculation of two aspects of in-depth analysis and research, draw up the outage loss general function formula that can be used by evaluating the outage loss of users in the planned work order, and the priority of overhaul without power outage is determined according to the importance of users.
Speech Emotion Recognition Based on Convolutional Neural Network for Emergency System of Railway Station
Authors: Peng Kaibei , Wu Liuyi , Wang Xiaoshu , Shi Tianyun 
Published: May 2021

Abstract
This paper proposed a speech emotion recognition model based on Convolutional Neural Network (CNN). The model first extracts the Mel Cepstral Coefficient (MFCC) feature of each speech, and then sends the extracted feature matrix to the convolution the neural network is trained, and finally the category of each voice is output by the network. In addition, a confidence setting is added to the output layer of the model, and it is believed that the probability of each voice belonging to a certain category is greater than 90%. Experimental results show that the model has a higher accuracy rate compared with Recurrent Neural Network (RNN) and Multilayer Perceptron (MLP). This method provides a certain reference for the application of deep learning technology in speech emotion recognition and early warning of dangerous situations in railway stations and other places.
A Crossover Algebra for Solving Minimum Spanning Tree in Network Design with Diameter Constraints
Authors: Wang Ziyi , Shi Kai , Qiao Fuqiang , Li Huanran 
Published: May 2021

Abstract
The minimum spanning tree problem with diameter constraint is an important problem for many applications such as network design and reliability. The diameter constraint makes it be different from the common minimum spanning tree problem, it is difficult to get the optimal solution, even the feasible solution can not be obtained by the traditional method. To address this problem, in this paper, a new crossover algebra is designed to ensure that the crossover tree still satisfies the diameter constraint. During the crossover process, structure of the subtree will be retained, thus avoiding the problem that the new generated tree is not a feasible solution. Experimental results show the effectiveness of the improved algorithm.
Intelligent System and Minimum Energy Consumption Optimization for a Single Natural Gas Pipeline
Authors: Feng Liang , Liu Junjiang , Ruan Chao , Cao Wenchen 
Published: May 2021

Abstract
There are many long-distance gas pipeline put into operation in recent years, it make certain research value of single gas pipeline. Minimum energy consumption has always been the goal of pipeline enterprises, so this paper studies the optimal energy consumption based on energy consumption calculation. The implementation of steady state optimization aims to minimize the total compressing operation cost of the compressor stations. Two sub-problems arise from the operation scheme, the pipeline-level optimization and station-level optimization. The problem is solved by the improved dynamic programming method and enumerative algorithm, and develop the energy consumption software with Visual Basic.net. This paper uses the second Shanxi-Beijing pipeline as example. A variety of working conditions is optimized by optimization software. The study found: the software can accurately calculate the optimal results; the more the amount of output closer to design input, the smaller saving space through contrast to the actual; it is need to consider transportation costs and energy consumption and select the appropriate value, which can achieve maximum benefit.
Use of genetic similarity analysis for identification and study of the origin of Indonesian local goats based on X-Y sex chromosome karyotyping and cytochrome-b genes sequence
Authors: Ciptadi G , Budiarto A , Nasich M , Mudawamah  , Rahayu S , Dyah Ayu O. A.P , Putri AI , Karima H N , Oktanella Y , Saynandya Y , Almaida R G 
Published: May 2021

Abstract
The history and origins of Indonesian local goats are still compiled and described based on information on phenotypic characters, and there is still limited research that studies the origin of goats based on cellular and molecular analysis. The purpose of this study was to identify the origin of local goats in Indonesia based on the emergence of the profile of the sex chromosome band and the results of the Cytochrome b (Cyt-b) gene sequence. The research method is a case study with analysis of sex chromosome band profile results of preparation with G-banding and Cyt-B gene sequences. Genetic similarity analysis was performed using mitochondrial DNA (mtDNA). The sample used was whole blood from six Senduro goats, three male Etawah Grade and three Etawah goats. Chromosome preparation was done by G-Staining and analyzed by cytovision then analyzed its similarity with ancestor breeds. The whole blood sample was isolated with the Blood DNA Preparation Kit by Jena Bioscience. The primers used are Forward (Cytb_F) 5’GCAATTGCCATAGTCCACCT’3 and Reverse (Cytb_R) 5’GGATTTGCC GGGGTATAGTT ’3. The PCR results were sequenced by the Sanger method. Gene sequence analysis is performed using MEGA-X software. The results showed that the genetic distance between intraspesies and interspesies of Senduro goats and PE goats was 0% or ⩽ 2%. Conclusions based on genetic similarity from this study are Senduro goats and Etawah Peranakan goats, and Etawah has a close kinship, instead there is a distant kinship with the comparison of Capra Hircus, but it has a close kinship between individuals.
Brevibacilus thermoruber: thermophilic bacteria isolated from hot spring with the promising potential as a biomolecule producer
Authors: Zilda DS 
Published: May 2021

Abstract
Activities and evolution of organisms are controlled by temperature, one of the most important environmental factors. Some microorganisms, have been known as thermophile, need thermal environment for growth and reproduction. They have been topics for much research during the last two decades. One of the interesting and potential thermophilic bacteria is Br. thermoruber. It is originated from hot spring that have been found and showed some abilities to produce important macromolecules. Br. Thermoruber is one of four Brevibacillus species recorded to produce a thermostable enzyme, such as keratinase, fibroinolytic enzyme and potential mitochondrial enzyme, which plays a major role in the degradation of intracellular proteins. It is also known as the exopolysaccharide cell factory. The genome sequencing and analysis of this species showed important information on the existence of some other potential enzymes. This project also opens up opportunities to conduct further research on production mechanisms of some enzyme previously found and to predict any potency that Br. thermoruber have.
Impact of biopesticide inundation on the diversity of soybean pests and diseases
Authors: Prayogo Y , Bayu MSYI , Susanto GWA , Indiati SW 
Published: May 2021

Abstract
Soybean pests and diseases are quite abundant and have shown the resistance to chemical pesticides. Biopesticides are biological agents derived from plant metabolites and microorganisms. They are effective for controlling pests and diseases as well as suppress the resistance and resurgence. This research aimed to study the impact of biopesticide inundation on soybean pests and diseases. The study was conducted in Banyuwangi, East Java. Biopesticides applied were Trichoderma harzianum (Trichol 8), neem seed powder, entomopathogenic virus SlNPV (Virgra), entomopathogenic fungi Beauveria bassiana, and eugenol from clove oil. The results showed that biopesticide applied by inundation can suppress Sclerotium rolfsii, Phakopsora pachyrhizi, Xanthomonas axonopodis, and Spodoptera litura. The application of biopesticides by inundation is safer and can maintain the survival of natural enemies and can reduce yield losses. However, the application of chemical can kill natural enemies. Oxyopes sp., Coccinella sp., Sycanus sp., Andrallus sp., Rhynocoris sp., Paederus sp., Entomobrya sp., Aphidius sp., Binodoxys sp., Encarsia sp., Trichogramma sp., and Telenomus sp. which survived on field applied with biopesticides is quite abundant. Therefore, natural enemies have a great opportunity as biological agents for controlling soybean pests and diseases and as an alternative to replace the use of chemical.
Developing environmental care attitudes among college students through islamic education (IRE) learning with a humanist-contextual approach
Authors: Mardhiah I , Amaliyah  , Hakam A , Hadiyanto A 
Published: May 2021

Abstract
This study aimed to show that religious teaching contributes to preserving the environment. The research illustrates how to build students to do positive things through learning Islamic Education (IRE), which includes empowering a caring attitude towards the environment. It is one of the primary learning outcomes of IRE in higher education. There is a need to determine the competence of IRE learning outcomes, and it is challenging to understand environmental conservation factors from a theological perspective. Therefore, IRE learning should be able to facilitate students to have competence in caring for the environment. This research was a qualitative study using quota and snowball sampling. The subjects were IRE students and lecturers. Data were collected using library literature, questionnaires, and interviews. The results show that empowering a caring attitude towards the environment through IRE can be achieved by; 1) using theological methods that indicate the level of spiritual maturity; 2) psychological approaches that hone students’ social maturity; 3) empowering a caring attitude towards the environment using contextual learning that enables students to analyze the facts of environmental preservation and the impact of an environmental crisis from an Islamic perspective. The development of teaching materials and assessment instruments appropriate for IRE learning with a humanist and contextual approach can empower students’ environmental care attitudes.
Does different management and organic inputs in agroforesty system impact the changes on soil respiration and microbial biomass carbon?
Authors: Prayogo C , Kusumawati I A , Qurana Z , Kurniawan S , Arfarita N 
Published: May 2021

Abstract
Agroforestry system is assumed to be an alternative system which reduces the negative impact of the forest conversion to agricultural land in term of maintaining soil quality and its fertility. This study was aimed to explore effects of different management on agroforestry system upon soil microbial biomass, soil respiration, and organic matter dynamic and nutrients. This study was conducted at UB Forest from November 2017 to February 2018 by collecting various parameters and soil samples from eight different types of land use. Biomass were measured using allometric equation by collecting tree diameter at the height of 1.3 m. Litter inputs were collected using a litter trap method, while in-situ litter were determined using destructive methods. Soil carbon was examined using Walkley and Black method and POM C. Biplot and CVA multivariate analyses were adopted to determine the impact of different management and organic matter inputs. The result showed that the conversion from old agroforestry system of Pine Coffee (PK3 and PK4) to agriculture practices PS (Pine 40 years and vegetable (cabbage) reduced the organic matter inputs by 40%, litter input by 80%, and total POM C by 40% The highest soil microbial biomass carbon and soil respiration were detected on PK3 plot (pine 35 years with coffee at 5 to 8 years old) which were to about 55.48 mg kg -1 and 4.03 mg, respectively. The reduction on organic matter inputs highly correlated to the level of soil respiration and microbial biomass C. Multivariate analysis can distinguish and clustered the treatments along X and Y axis to about 90%. The best system to provide the greatest input of soil organic input which then affected the highest soil organic carbon and microorganism. However, the consequency of this was the increasing of soil respiration and releasing carbon to the atmosphere.
Growth response and vital statistics of fat and thin tailed sheep with soybean husk supplements in Malang District
Authors: Nasich M , Ciptadi G , Budiarto A , Siswijono SB , Hermanto  , Ridhowi A , Mudawamah  , Widjaja DKH , Putri ARI , Karima HN , Septian S , Ramadhan AM 
Published: May 2021

Abstract
This study aimed to determine the pattern of body weight gain and vital statistical measures of fat sheep and thin tails and to determine the response of local sheep production to the provision of soybean meal/skin. The method used in this research is a case study and experimental. The sampling technique is done by a simple random method on vital statistical measures performed by measuring the chest (using a measuring tape) and body length (using a measuring stick). The tabulated data were first analyzed for homogeneity and normality, which were then tested by an independent sample t-test using SPSS. As for the growth response, the material used was 16 male FTS and TTS aged under one year. Daily body weight growth between Fat tail Sheep (FTS) and Thin Tail Sheep (TTS) showed very significant differences (P <0.01). Statistical analysis showed that body length between FTS and TTS had no difference (P> 0.05), chest circumference between FTS, and TTS; there was no difference (P> 0.05). Adding bodyweight FTS and TTS were respectively 93.29 ± 26.73 g / head / day and 78.18 ± 27.01 g / head / day. The FTS and TTS bodies’ length was 49.81 ± 4.06 cm and 49.34 ± 4.80 cm, respectively, while the chest circumference between FTS and TTS was 63.61 ± 3.98 cm and 62, respectively. 17 ±4.10 cm. The daily body weight gain of rams fed with additional soybean husk feed statistically results obtained significant differences (P <0.05), the results of the study showed that the Daily Weight Gain (DWG) FTS male respectively P0, P1, P2, and P3 groups respectively namely: 105.07 ± 3.58; 118.08 ± 2.65; 140.38 ± 4.40; 155.01 ± 4.01 g / head/day. The results showed that the feed efficiency of male rams in each group P0, P1, P2, and P3 were: 7.84 ± 0.27; 8.25 ±0.18; 9.27 ± 0.29; and 9.75 ± 0.32%. While for TTS also obtained a significant difference (P <0.05) DWG at P0, P1, P2, P3 is 101.02 ± 2.18; 116.9 ± 2.88; 127.82 ± 3.20; 140.31 ± 2.41 g / head / day, so that the efficiency of feed obtained for TTS is P0, P1, P2, P3 respectively 6 ± 0.19; 7.14 ± 0.11; 8.87 ± 0.22; 9.85 ± 0.12. It was concluded that the provision of soybean meal had a significant positive effect on growth and vital statistics, both for sheep with fat tails and thin tails.
Water quality evaluation of some mangrove ecosystems with variations of time restoration in South Malang, East Java, Indonesia
Authors: Retnaningdyah C , Ridlo I A , Febriansyah S C , Nusantara O B 
Published: May 2021

Abstract
The area of the mangrove ecosystem in the South Malang, East Java region of Indonesia has dropped from 2000 due to land conversion and human activities. The society and the government have sought to preserve mangrove plants. The goal of this study was to assess the quality of the mangrove ecosystem, particularly its results by observing water quality and analyzing the connection between human activities around the mangrove ecosystem and water quality. The research method was Ex Post Facto. Monitoring was carried out on five selected mangrove ecosystems in South Malang including Clungup Mangrove Conservation (CMC), Bajulmati, Kondang Buntung, Sendiki and Tamban. Sampling at each site is performed at many stations based on variations in the timing of the revegetation activities. Sampling for each station was carried out at three places as replications. The total number of samples is 30 samples. Water quality parameters of mangrove ecosystem was measured in this study including dissolved oxygen (DO), salinity, biochemical oxygen demand (BOD), chemical oxygen demand (COD), nitrate, and orthophosphate. We also observed the human activities in the each sampling location using Hemeroby index. The results of study showed that the water quality in several mangrove ecosystems in southern Malang varied. In general, the salinity (0.0-26.3% o) and BOD (2.1-9.6 mg / L) have met the standard values for seawater quality for the benefit of marine life. DO levels that have met the quality standard value were only in the mangrove ecosystems of Kondang Buntung, Sendiki and Tamban (5.3-6.3 mg / L). Nutritional content in the waters of all mangrove ecosystems is high with Nitrate levels exceeding the government quality standards (0.17-1.96 mg / L). COD levels have a positive correlation with water salinity levels. The water quality was degraded by the mangrove environment with higher human activities. CMC and Bajulmati conservation practices have influenced the enhancement of water quality in the ecosystem of the mangroves.
Effect of the combination of NAA and BA on callus induction from hypocotyl explants in black cumin (Nigella sativa L.)
Authors: Pramono Putro Aji , Harijati Nunung , Widoretno Wahyu 
Published: May 2021

Abstract
Black cumin (Nigella sativa L.) seeds contain the main bioactive compound thymoquinone, which is beneficial for health. Callus cell culture techniques are an alternative method for the production of plant bioactive compounds. Therefore, it was necessary to develop a method for producing callus in vitro. This study evaluated the effect of a combination of NAA and BA growth regulators on MS medium on in vitro callus induction using black cumin hypocotyl explants. There were two variables used in the nature of the study: NAA (1 and 2 mg/L) and BA (1, 1,5, 2, 5 and 3 mg/L). All hypocotyl explants were able to induce callus on all medium used. The callus appeared between 8-11 days. A combination of NAA and BA influenced black cumin hypocotyl callus formation and development. With NAA 1 mg/L added and BA 1.5 mg/L added, MS medium was able to induce best hypocotyl explants to shape and develop callus with an average callus weight of 0.262 g/Explant. However, the time of callus emergence was not significantly affected by the combination of NAA and BA growth regulators.
Institutional transformation of cattle farmer association in Kebumen to increase their competitiveness in Indonesia
Authors: Komalawati  , Sudrajad P , Hermawan A , Subiharta  
Published: May 2021

Abstract

Ongole Grade Cattle (PO) in Kebumen has unique characteristics compared to other PO cattle in other regions. Therefore, it has given more benefits to farmers in Kebumen. To maintain its existence, since 2010, Central Java Assessment Institute for Agricultural Technology and local Government in Kebumen have assisted and encouraged cattle farmers to develop an association that will focus on breeding. After three periods, the problems have arisen related to its sustainability and competitiveness in the cattle market in Indonesia. The objective of this study is to formulate a strategy that could solve the problems of the association. This study used primary data obtained from the Focus Group Discussion and in-depth interview. Respondents were purposively selected from the Agricultural Office, extension workers, and other related agencies, as well as the association. Data were analyzed using SWOT analysis. The results show that the first strategy for the association to increase their sustainability and competitiveness is through institutional transformation. The association needs to be managed professionally, market, and benefit-oriented. Therefore, assistance from related agencies is a necessity. By transforming their institution, it is expected that it could increase the competitiveness of PO Cattle from Kebumen in the Indonesian cattle market, maintain the existence of Kebumen’s PO Cattle, as well as increase the income of cattle farmers.