bluuebunny/crossref_metadata_2025 huggingface dataset:
A Practical Study on Using Computer Technology to Assist College English Teaching
Authors: An Kun
Published: May 2021

With the development of science and technology, traditional teaching is also innovating and researching. At present, computers are widely used in different industries. Nowadays, colleges and universities in China are changing the traditional teaching mode to the teaching mode supplemented by computer. College English, as a compulsory basic subject course for every major in college, is a teaching mode supplemented by computer technology, which changes the previous teaching mode and makes college English teaching classroom one of the favorite classes for college students. This paper explores and studies the teaching mode, teaching method and teaching curriculum of college English supplemented by computer.
The Main Strategy of Using Computer to Improve Information Security Construction in Colleges and Universities
Authors: Huang HaiJun
Published: May 2021

With the rapid development of China’s cities, the whole city has been covered by the network. Continuous improvement of network technology has become an indispensable part of our life. Data information has become an alternative way of expression in our life. Data has become the core research content of every school. Many schools begin to pay attention to internal information security construction. This paper briefly summarizes the definition of network information security[8]. This paper describes the research status of campus network information security. Finally, this paper puts forward the main strategy of security construction.
On the Internal Control and Audit of Computer Accounting
Authors: Min Wu
Published: May 2021

Driven by the rapid development of the information age, information technology has been widely used in various fields, especially in the accounting work of enterprises. From the perspective of information risk, the improvement of computer technology and the degree of informationization not only bring the informationization and high efficiency of enterprise accounting treatment, but also bring many risks. In the face of increasingly fierce market competition, in order to achieve better development, we must attach importance to internal control audit, continuously improve work quality and efficiency, and win a longer-term development prospect for enterprises. In the face of increasingly fierce market competition, in order to obtain better development, we must attach importance to internal control audit, constantly improve the quality and efficiency of work, so as to win a more long-term development prospect for enterprises. This paper discusses the internal control audit of enterprises under the condition of accounting computerization, and puts forward the corresponding countermeasures to improve the internal control and audit of computer accounting in Chinese enterprises.
Construction Model and Evaluation of Dynamic Knowledge Map for Deep Learning
Authors: Su Hu
Published: May 2021

The related technologies of knowledge map have been widely applied in many fields, such as search engine, intelligent question and answer, language understanding, recommendation calculation, big data decision analysis and so on. Deep learning originates from the research of artificial neural network, which uses deep network to learn knowledge from massive data. Its advantage is that it can obtain features without manual work. It is one of the current research hotspots to integrate the method of deep learning into the application of knowledge map. In this paper, a dynamic knowledge map reasoning method based on multi-relationship cyclic events is proposed, and an improved multi-relationship proximity aggregator is used to fuse the neighborhood information of target entities to obtain a more accurate representation of entity neighborhood vectors. It improves the speed of manual annotation, reduces the time and labor cost of manual annotation, and improves the migration ability of event extraction system.
Research on Automotive Cloud Technology Platform and Solutions
Authors: Wang Yingzi , Hou Jue , Zhang Yongjia , Fang Xiangyi
Published: May 2021

With the emergence of cloud computing technology, various industries have solved many problems through cloud computing technology. In terms of auto companies, in order to quickly respond to market demand and seek new automotive R&D models, cloud computing technology has been effectively introduced into automobile enterprises and it provides enterprises with new solutions.
Research on the Application of Computer Digital Information Technology in the Practice of Urban Public Art
Authors: Liu Dazhi
Published: May 2021

With the continuous improvement of the level of urbanization and the iterative progress of social economy, as well as the continuous improvement of people’s aesthetic level, the public has gradually become the participants and shapers of urban public art practice. Based on this, this paper first analyses the connotation and role of computer digital information tech, then studies the application of computer digital info tech in urban public art space, and finally gives the optimization of urban public art practice under computer digital info.
Talking about the Application and Development of Data Mining in the Field of Computer Network Security
Authors: He Yong
Published: May 2021

While computers bring great convenience to people, they also bring a lot of risks. Some illegal elements use network viruses to invade users’ computers and steal data, which causes users’ information to leak. Therefore, we must establish a secure virus defense system, which can protect users’ information security and resist virus intrusion.
The Influence of Campus New Media Platform on the Writing Ability of Students With New Engineering Background
Authors: Lu Zhuoyuan , Zhang Xiaohu
Published: May 2021

Nowadays, science and engineering is the mainstream major in many schools. The number of science and engineering students is very large. According to the statistics of engineering colleges, science students’ practical writing ability is relatively poor. A lot of students’ writing level is seriously degraded during the University. Their knowledge of science culture seems to be eating into their writing thinking. With the popularity of new media platform, the writing ability of students under the background of new engineering should be valued[6]. This paper describes the present situation of science and engineering students’ writing ability. On this basis, this paper puts forward the strategies of cultivating engineering students’ writing ability under the new media technology.
Exploring the Methods of Artificial Intelligence Development on Accounting Bookkeeping System
Authors: Liu Meiying
Published: May 2021

Today, information technology such as artificial intelligence and big data is developing at a rapid pace, and the requirements for financial professionals are also evolving with the times. The role of accountants is quietly changing in enterprises. The future trend is already predictable: the number of general accounting staff engaged in basic finance, auditing and taxation will gradually decrease. Will accountants be replaced by artificial intelligence? This is no longer a fantasy, but a topic that accounting professionals need to face and think about. Based on this, this paper explores the development of artificial intelligence on the accounting bookkeeping system approach.
Research on the Path of Manufacturing Human Resources Management of Realizing Artificial Intelligence Process
Authors: Wang Fang , Li Aining , Song Xuelian
Published: May 2021

With the advent of the artificial intelligence process, the development of the manufacturing industry has entered a new level, especially artificial intelligence technology has made a huge contribution to the human resource management of the manufacturing industry. This article mainly analyzes the human resource management of the manufacturing industry in the artificial intelligence process. It also studied new ways to promote the reform of human resource management in the manufacturing industry.
Research on Computer Simulation Technology and Application of NC Machine Machining
Authors: Liu Shufeng
Published: May 2021

In order to ensure the correctness of NC machining process, it is very important to verify the machining program before NC machining. At present, the development of computer simulation technology makes the technology of verifying NC machining process in the computer environment widely used in the actual production. Therefore, this paper discusses the numerical control machine tool machining computer simulation technology and application.
Analysis on the Application of Network Information Technology in College Public Sports Basketball Teaching
Authors: Hai Wei
Published: May 2021

The 21st century is a society with rapid development of information technology. The popularization of network information technology has laid the foundation for social development and brought great convenience to teaching. The application of network teaching technology in physical education in colleges and universities is mainly to carry out basic course teaching according to the physical education resources of the campus website, and to turn the network teaching mode into a supplement and extension of the course teaching content, which plays a role in guiding the physical education task in the process of spreading the physical education class curriculum. The application of network technology in college public sports basketball teaching enriches the teaching form of college physical education, speeds up the information development of college public sports basketball teaching, and makes basketball teaching content and teaching form more adapt to the development of information society. From the application of network technology in college public sports basketball teaching as the starting point, this paper analyzes the current situation of physical education teaching, and puts forward effective countermeasures.
Discuss the Security Countermeasures and Data Protection of Library Computer Network
Authors: Guo Wanchun
Published: May 2021

With the development of computer networks, the management and operation of the library are gradually becoming networked. And the network management model has greatly improved the management efficiency of the library. Of course, the computer network also makes the library’s data have hidden dangers. This paper mainly analyzes the library computer network security problem and the improvement measures of the library computer network security problem.
Application and Strengthening Strategies of Network Resources in the Construction of Teaching Platform
Authors: Liu Hongyan
Published: May 2021

Colleges and universities are at the forefront of popularizing and applying information technology, so it is necessary and responsible to create abundant teaching and learning resources, so as to provide a platform for teachers to carry out diversified teaching and students to carry out autonomous learning. In accelerating the process of educational informationzation, we should strengthen the development and application of high-quality educational resources, strengthen the construction of network teaching resources system, establish an open and flexible public service platform for educational resources, and promote the popularization and sharing of high-quality educational resources. In teaching, students should establish information concept, enhance information awareness, integrate, explore and apply computer professional knowledge with other courses, and effectively improve their information technology literacy and operational application ability. When using network resources, teachers need to search and download resources repeatedly with the help of search engines. In order to improve the availability of existing resources and integrate and share the scattered teaching resources, this paper proposes the development of the sharing information platform of network teaching resources in Colleges and universities.
Compilation and Application of Microcomputer Physical Education Class Scoring System
Authors: Wang Dong
Published: May 2021

Nowadays, computer technology has been applied to all walks of life. Therefore, colleges and universities have set up computer-related courses for students. This paper mainly introduces the functional information of the physical education scoring system.
Research on New Approaches to the Reform of English Teaching Depend on Multimedia Technology
Authors: Weng Cui
Published: May 2021

With the development of science and technology, big data technology has fully popularized the management of major enterprises, and big data technology has played a major role in the development of major companies. This article mainly analyzes and summarizes the characteristics of college English teaching in the context of big data, and it also explains the operating facilities of the new teaching model.
The Construction of Cloud Computing System for The Optimization of Medium Voltage Non-Blackout Operation Equipment and Tools
Authors: Lai Shuisheng , Lin Yuhuan , Luo Jiajian , Guo Runkai , Guo Junjian , Lin Yuanmin
Published: May 2021

With the continuous development of cloud computing technology in China, cloud computing technology has been widely used in various fields of production. Because there are some defects in traditional automation medium voltage power outage operation equipment and tools, and the application of cloud computing technology in medium voltage power outage operation equipment and tools can effectively improve the production rate of products, thus promoting the development of medium voltage power outage operation equipment and tools. Therefore, this paper first briefly explains the advantages of cloud computing technology, and briefly discusses the application of cloud computing technology in the automatic control of medium voltage non-blackout operation equipment and tools, for readers’ reference.
Construction and Application of Dual Q Programming Model for Medium Voltage Distribution Network
Authors: Li Shunxin , Zhu Zhengjia , Lv Xin
Published: May 2021

With the rapid development of China’s economy, people’s demand for electricity is increasing. In order to ensure the reliability of power supply, a dual Q programming model of distribution network is proposed. In this paper, the overview of “double Q theory” and key technologies are described, and the problems and optimization of medium voltage distribution network planning are discussed for readers’ reference.
Weighted Random Forest Algorithm Based on Bayesian Algorithm
Authors: Zhang Xue , Wang Mei
Published: May 2021

The random forest(RF) algorithm is a very efficient and excellent ensemble classification algorithm. In this paper, we improve the random forest algorithm and propose an algorithm called ‘Bayesian Weighted Random Forest’(B-RF), focus on the problem that inaccurate decision tree classification caused by the same voting weights in the traditional random forest model. The main idea underlying the proposed model is to replace the supermajority voting of random forests into weighted voting, fully consider the difference of classification ability of each decision tree, using the Bayesian formula to dynamically update the weight value for each tree, so that the strong classifier has higher voting power and effectively improves the overall performance of classification. Through the verification of UCI database, the results show that the classification accuracy of the proposed weighted random forest model is higher. This illustrate the outperformance of the proposed model in comparison with the general random forest algorithm.
Customer Satisfaction Research based on Customer Service Dialogue Corpus
Authors: Chai Jian , Wang Shengfu , Zhu Jie , Mao Xian-Ling , Huang Heyan
Published: May 2021

Recently, consumers are increasingly inclined to contact customer service for help when they encounter problems and have high demands for remote support. A high-quality customer service connects the company with its customers and establishes a positive image. Applying customer satisfaction metrics to measure the quality and efficiency of customer service is widely used, yet most of the existing customer service evaluation systems rely on manual processes, which are clearly unsustainable and costly. We introduce an ERNIE-based customer satisfaction analysis model that automatically analyses the text of customer service dialogues and scores them from four perspectives (i.e., product, service, process and overall) without human involvement. Furthermore, we construct a corpus containing around 1500 entries of dialogues texts transcribed from customer service consultation and scale it up to 9 times in the training phase. Results show that our model performs better compared to the baseline model and demonstrates a good generalization ability as well.
Incorporating Domain Knowledge into Text Classification Diagnosis in Customer Service Dialogue Field
Authors: Zhao Jiangjiang , Zhu Jie , Zhang Xiaokun , Mao Xian-Ling , Huang Heyan
Published: May 2021

The customer service dialogue process is an important way for consumers to communicate with manufacturers. In order to enhance the consumer experience as well as to assist the staff, we build a knowledge base that can categorize consumer questions and provide suitable answers. However, due to labeling deviations, there are some errors in the knowledge base. So we propose a domain knowledge-based text classification diagnosis method, which innovatively transforms the question and answer task into the text classification task. We use an ERNIE-based structure to match consumer questions with multivariate groups of answers from the knowledge base, judged by similarity. Also for incorrectly matched pairs, our method provides a list of suitable candidates for selection. Compared with other baselines, our model achieves competitive results. At the same time, good results are obtained on cross-province data, proving that our method has good scalability.
Muscle Fatigue Classification and The Effect of Electrical Stimulation on Muscle Fatigue Recovery
Authors: Wang Xingyuan , Wang Xin’an , Qiu Changpei , Li Qiuping
Published: May 2021

The purpose of this work is to assess and grade muscle fatigue, and then reveal the different recovery effects of the three methods of natural recovery, electrical stimulation of acupoints, and electrical stimulation of non-acupoints based on the classification and changes in characteristics. Muscle fatigue mainly refers to the weakness of muscles and the weakening of working ability after long-term or high-intensity use. It is a problem that people often encounter in daily life. In this study, 20 subjects participated in the study. By collecting surface EMG signals, and then extracting time-domain features and frequency-domain features, three algorithms of KNN, LR, and SVM were used to classify muscle fatigue into three categories: good, transitional fatigue, fatigue. The average accuracy of KNN algorithm reached 83.2%, the average accuracy of LR reached 84.7%, and the average accuracy of SVM reached 88.6%. Afterwards, the SVM classifier was used to evaluate the subsequent three recovery effects. The experiment found that electrical stimulation of acupuncture points has a better recovery effect than natural recovery and electrical stimulation of non-acupuncture points, and has a more active recovery promotion effect.
Classification of Stroke Disease Assessment based on Body Surface Electrical Signals at Acupuncture Points
Authors: Wang Hu , Wang Xin’an , Zhang Xing , Qiu Changpei , Li Qiuping , Zhao Tianxia
Published: May 2021

Stroke is a common brain disease with high sudden onset, high lethality, and a single means of rehabilitation assessment. In this paper, we designed a novel stroke condition rehabilitation classification experiment using a 4-channel body surface electrical signal acquisition circuit independently developed by the Integrated Microsystems Laboratory of Peking University to acquire body surface electrical signals from acupoints on both sides of the body meridians of 8 healthy volunteers and 16 stroke patients with different degrees of rehabilitation. The signals were filtered and wavelet transformed to extract features, which were fed into LR, RR, XGBoost, and SVM models for condition assessment and classification (types: healthy, mild hemiplegia, and severe hemiplegia). The results showed that the experimental scheme had strong classification ability for stroke condition recognition, with F1-score of 0.75 for LR, 0.72 for RR, 0.81 for XGBoost, and 0.79 for SVM. Furthermore, the “anti-interference ability of 50Hz” feature was separately introduced for classification, and a better classification effect was obtained. Among them, the F1 score of stroke evaluation and classification based on the SVM model increased by 2.65%, which is helpful to realize the intelligent prediction of stroke disease in clinical practice Diagnostic function.
Lightweight Design of Aircraft Virtual Scene and Wireless Transmission
Authors: Zhu Zhisheng
Published: May 2021

The concept of virtual reality, which is an important role in aircraft simulation training, was first proposed in the aerospace field in the 1960s. In recent years, with the development of hardware technology, virtual reality technology has been widely used in games, entertainment, medical and other civilian fields. In the field of civil aircraft, virtual reality technology mainly focuses on simulated flight, cockpit pilot training, aircraft maintenance training, etc. This article proposes a customer-oriented aircraft virtual scene design and implementation method, and describes the design process from aircraft 3D model construction, lightweight processing, virtual scene rendering, and WebRTC-based wireless video streaming. The main technical difficulties solved in this paper include two parts: one is to convert the existing aircraft 3D engineering model into a polygonal model that can be used for VR rendering, and the other is to realize the problem of multi-user online interactive access to virtual scenes. Through this system, users can do engineering evaluation and experience evaluation during the whole process of aircraft product design, development and sales. The application scenarios designed in this paper further expand the application of virtual reality technology in the field of civil aircraft development and lay the foundation for the development of more application scenarios in the future.
Multi-turn Dialogue Generation Using Self-attention and Nonnegative Matrix Factorization
Authors: Hu Chen , Wan Neng , Cai Songtao , Zeng Guangping
Published: May 2021

Recently, neural generative models have shown significant potential in the field of human-computer interaction, especially the dialogue systems. In this paper, we propose a new model for multi-turn dialogue generation, which uses the self-attention mechanism to extract relevant information in the dialogue history, and utilizes the nonnegative matrix factorization(NMF) to learn topic vectors from an external corpus. The response generated by the model is not only affected by the dialogue context, but also by the corresponding topic vectors. We conduct experiments on a public dataset to evaluate the performance of our model. Experimental results demonstrate that our model has the ability to generate more diverse and context-sensitive responses.
Fusion of Virtual Reality Technology and Multi-sensor Mobile Robot
Authors: Wang Jingjing
Published: May 2021

In recent years, with the rapid development of virtual reality technology, VR, AR and MR can be widely used in the creation of learning scenarios for various majors to realize simulation training, and then solve the requirements of situational and natural interaction of learning media. VR technology is very intuitive and realistic in the research of multi-sensor mobile robot navigation, which can provide an ideal research platform for the research of autonomous navigation technology of mobile robot. Research on a new algorithm combining virtual reality and sensors to improve the performance of the entire system.
A Smart Cache Lockdown Technique for IoT System
Authors: Cho Doosan
Published: May 2021

Applications used in IoT network devices are multimedia or control signal processing devices that process data streams. These devices are primarily designed as battery powered things. As battery operation time has become an important parameter, specialized optimization techniques are studied and applied to increase the battery operation time for IoT devices. In IoT device components, the memory is a representative one to consume large portion of energy. Thus, memory optimization techniques are being studied in IoT devices. In this study, a technique is proposed to optimize use of cache memory. With aggressive use of cache memory, it leads to reduce power consumption of the memory system. The cache memory consumes less power and is faster than the main memory, so its aggressive use helps IoT system’s power efficiency and performance. This study provides a technique to improve energy and performance by extracting frequently used data blocks and locking the data into cache to prevent eviction and increase cache’s hit ratio.
On General Conditions for Uniqueness and Stability of Sparse Tensor Signal Reconstruction
Authors: Tian Yuan , Huang Xin
Published: May 2021

This paper deals with a fundamental aspect of the inverse problem of robustly reconstructing sparse tensor signals via convex optimization. The traditional vector signal model is extended to tensor model and tensor-space based convex optimization methods are applied to establish the critical results. In particular, by means of some innovative sub-differential analysis for tensor norms and convex geometric analysis in normed tensor space, sufficient conditions to guarantee uniqueness and stability of sparse tensor signal reconstruction are established. In comparison with most current works based on vector signal model (1-order tensor), these conditions are more general and more applicable to tensor signals. Also will these conditions be helpful for establishing practical algorithms for reconstructing high-order sparse tensor signals which are emerging in various data-intensive intelligent applications.
Design of Flow Analysis System Based on Industrial Control Network in Tobacco Industry
Authors: Zhang Chengting , Qian Jie , Zhang Xun , Xu Qi
Published: May 2021

This paper has introduced a system dealing with network flow in tobacco industrial control system. By effective data acquisition, data processing, information analyzing and data storing, the system provides precise information for network security analysis. In this article, each key link of the processing chain such as acquisition, processing, analyzing, and storing has been specified. Besides, the feasibility and practicability of this system has been proved. The system would help ensure the safety and stable operation of tobacco industrial control system.
Design of Intelligent Shoes Based on Multi-sensor
Authors: Wang Hao , Song Yawei
Published: May 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

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.